התחל

חפש סקריפטים עבור "accumulation"

Market Regime Guard PRO Institutional No-Trade ZonesThis dashboard automatically blocks trading on structurally dangerous market days caused by volatility compression, inside-day accumulation, rising VIX liquidation risk, EMA breakdowns, and thin liquidity traps. Most traders lose not because their entries are bad — but because they trade on structurally dangerous market days. This dashboard automatically blocks trading on contraction, liquidation-risk, inside-day, and volatility-trap days. Then list what it detects: • Inside Days (institutional absorption) • NR7 contraction traps • ATR volatility compression • EMA structure breakdown • Rising VIX liquidation risk • News & holiday liquidity traps Promise: Only trade when the market structure is favorable. Use this as your universal go/no-go trading permission system. If it’s GREEN → Trade. If it’s RED → Stand Aside or Be careful Works on: SPY, QQQ, TQQQ, NVDA, PLTR, TSLA, BTC, ES, NQ, Forex & Crypto. 🧭 How to Use the Market Regime Table This table is your go / no-go permission system. Start by checking it on SPY and QQQ — these represent the overall U.S. market and the Nasdaq growth complex. • If SPY and QQQ are GREEN → market structure is favorable • If either is RED → stand aside or reduce risk Once the market is GREEN, you can then apply the same table to individual stocks (NVDA, PLTR, TSLA, AMD, etc.) to confirm that the stock’s structure is also favorable before taking any trades. Rule of thumb: Market first. Stock second. Only trade when both are GREEN. This one rule alone dramatically improves win rate, drawdown, and consistency. FULL DESCRIPTION Most traders don’t lose because their entries are bad — They lose because they trade on structurally dangerous market days. On these days: • Institutions absorb liquidity • Volatility contracts • Fake breakouts dominate • Stop hunts explode • Real expansion does not occur This indicator automatically identifies and blocks: • Inside-day accumulation traps • NR7 contraction traps • Falling ATR volatility compression • EMA structure breakdowns • Rising VIX liquidation risk • Thin liquidity / holiday risk • News-day volatility traps It gives you a clear desk-style verdict: Status Meaning 🟢 GREEN Market structure favorable – trade normally 🔴 RED Structural danger – stand aside This is not an entry system. This is your permission system. 🛠 HOW TO USE Add indicator to your chart Check table in top-right Trade only on GREEN days Avoid RED days completely 📈 Personal Note This regime filter has been instrumental in my own trading journey. After struggling during my first few years in the market, I realized that the biggest losses didn’t come from bad strategies — they came from trading on the wrong days. Learning to stand aside on structurally dangerous market days and only trade when conditions are favorable dramatically improved my consistency and overall returns. 🧠 Why Market Regime Matters Even More for Day Traders Most day-trader losses do not come from bad entries. They come from: • Choppy inside-day conditions • Liquidity absorption • Falling volatility (no follow-through) • Stop-hunt behavior • News / thin liquidity traps Your filter directly blocks every one of these traps. So for day traders, this tool: • Prevents revenge trading • Stops death-by-a-thousand-cuts days • Filters out random chop days • Protects capital on slow days • Preserves psychological capital 📈 Why It Also Improves Swing Trading For swing traders, this tool: • Avoids entering during contraction • Avoids entering before expansions • Avoids bear-regime traps • Improves follow-through probability • Reduces drawdown • Improves R-multiple expectancy Which means: Fewer trades Higher quality trades More profit per trade The Universal Truth The market does not pay you for activity. It pays you for selectivity. This filter improves timing, not tactics. Your entries can be identical — your results improve simply because you’re trading on the right days. ⚠️ Disclaimer This indicator is provided for educational and informational purposes only and does not constitute financial, investment, or trading advice. Trading stocks, options, futures, forex, and cryptocurrencies involves substantial risk and may result in the loss of some or all of your invested capital. Past performance is not indicative of future results. This tool does not guarantee profits and should be used as a market structure filter and risk-management aid only. Always perform your own analysis, use proper position sizing, and consult a licensed financial professional before making any trading decisions. You are solely responsible for all trades taken using this indicator.
אינדיקטור Pine Script®
מאת ‎TrendRiderPro‎
Cumulative Volume Delta (CVD) Suite [QuantAlgo]🟢 Overview The Cumulative Volume Delta (CVD) Suite is a comprehensive toolkit that tracks the net difference between buying and selling pressure over time, helping traders identify significant accumulation/distribution patterns, spot divergences with price action, and confirm trend strength. By visualizing the running balance of volume flow, this indicator reveals underlying market sentiment that often precedes significant price movements. 🟢 How It Works The indicator begins by determining the optimal timeframe for delta calculation. When auto-select is enabled, it automatically chooses a lower timeframe based on your chart period, e.g., using 1-second bars for minute charts, 5-second bars for 5-minute charts, and progressively larger intervals for higher timeframes. This granular approach captures volume flow dynamics that might be missed at the chart level. Once the timeframe is established, the indicator calculates volume delta for each bar using directional classification: getDelta() => close > open ? volume : close < open ? -volume : 0 When a bar closes higher than it opens (bullish candle), the entire volume is counted as positive delta representing buying pressure. Conversely, when a bar closes lower than its open (bearish candle), volume becomes negative delta representing selling pressure. This classification is applied to every bar in the selected lower timeframe, then aggregated upward to construct the delta for each chart bar: array deltaValues = request.security_lower_tf(syminfo.tickerid, lowerTimeframe, getDelta()) float barDelta = 0.0 if array.size(deltaValues) > 0 for i = 0 to array.size(deltaValues) - 1 barDelta := barDelta + array.get(deltaValues, i) This aggregation process sums all the individual delta values from the lower timeframe bars that comprise each chart bar, capturing the complete volume flow activity within that period. The resulting bar delta then feeds into the various display calculations: rawCVD = ta.cum(barDelta) // Cumulative sum from chart start smoothCVD = ta.sma(rawCVD, smoothingLength) // Smoothed for noise reduction rollingCVD = math.sum(barDelta, rollingLength) // Rolling window calculation Note: This directional bar approach differs from exchange-level orderflow CVD, which uses tick data to separate aggressive buy orders (executed at the ask price) from aggressive sell orders (executed at the bid price). While this method provides a volume flow approximation rather than pure tape-reading precision, it offers a practical and accessible way to analyze buying and selling dynamics across all timeframes and instruments without requiring specialized data feeds on TradingView. 🟢 Key Features The indicator offers five distinct visualization modes, each designed to reveal different aspects of volume flow dynamics and cater to various trading strategies and market conditions. 1. Oscillator (Raw): Displays the true cumulative volume delta from the beginning of chart history, accompanied by an EMA signal line that helps identify trend direction and momentum shifts. When CVD crosses above the signal line, it indicates strengthening buying pressure; crosses below suggest increasing selling pressure. This mode is particularly valuable for spotting long-term accumulation/distribution phases and identifying divergences where CVD makes new highs/lows while price fails to confirm, often signaling potential reversals. 2. Oscillator (Smooth): Applies a simple moving average to the raw CVD to filter out noise while preserving the underlying trend structure, creating smoother signal line crossovers. Use this when trading trending instruments where you need confirmation of genuine volume-backed moves versus temporary volatility spikes. 3. Oscillator (Rolling): Calculates cumulative delta over only the most recent N bars (configurable window length), effectively resetting the baseline and removing the influence of distant historical data. This approach focuses exclusively on current market dynamics, making it highly responsive to recent shifts in volume pressure and particularly useful in markets that have undergone regime changes or structural shifts. This mode can be beneficial for traders when they want to analyze "what's happening now" without legacy bias from months or years of prior data affecting the readings. 4. Histogram: Renders the per-bar volume delta as individual histogram bars rather than cumulative values, showing the immediate buying or selling pressure that occurred during each specific candle. Positive (green) bars indicate that bar closed higher than it opened with buying volume, while negative (red) bars show selling volume dominance. This mode excels at identifying sudden volume surges, exhaustion points where large delta bars fail to move price, and bar-by-bar absorption patterns where one side is aggressively consuming the other's volume. 5. Candles: Transforms CVD data into OHLC candlestick format, where each candle's open represents the CVD at the start of the bar and subsequent intra-bar delta changes create the high, low, and close values. This visualization reveals the internal volume flow dynamics within each time period, showing whether buying or selling pressure dominated throughout the bar's formation and exposing intra-bar reversals or sustained directional pressure. Use candle wicks and bodies to identify volume acceptance/rejection at specific CVD levels, similar to how price candles show acceptance/rejection at price levels. ▶ Built-in Alert System: Comprehensive alerts for all display modes including bullish/bearish momentum shifts (CVD crossing signal line), buying/selling pressure detection (histogram mode), and bullish/bearish CVD candle formations. Fully customizable with exchange and timeframe placeholders. ▶ Visual Customization: Choose from 5 color presets (Classic, Aqua, Cosmic, Ember, Neon) or create your own custom color schemes. Optional price bar coloring feature overlays CVD trend colors directly onto your main chart candles, providing instant visual confirmation of volume flow and making divergences immediately apparent. Optional info label with configurable position and size displays current CVD values, data source timeframe, and mode at a glance.
אינדיקטור Pine Script®
מאת ‎QuantAlgo‎
Market Regime | NY Session Killzones Indicator [ApexLegion]Market Regime | NY Session Killzones Indicator Introduction and Theoretical Background The Market Regime | NY Session Killzones indicator is designed exclusively for New York market hours (07:00-16:00 ET). Unlike universal indicators that attempt to function across disparate global sessions, this tool employs session-specific calibration to target the distinct liquidity characteristics of the NY trading day: Pre-Market structural formation (08:00-09:30), the Morning breakout window (09:30-12:00), and the Afternoon Killzone (13:30-16:00)—periods when institutional order flow exhibits the highest concentration and most definable technical structure. By restricting its operational scope to these statistically significant time windows, the indicator focuses on signal relevance while filtering the noise inherent in lower-liquidity overnight or extended-hours trading environments. I. TECHNICAL RATIONALE: THE PRINCIPLE OF CONTEXTUAL FUSION 1. The Limitation of Acontextual Indicators Traditional technical indicators often fail because they treat every bar and every market session equally, applying static thresholds (e.g., RSI > 70) without regard for the underlying market structure or liquidity environment. However, institutional volume and market volatility are highly dependent on the time of day (session) and the prevailing long-term risk environment. This indicator was developed to address this "contextual deficit" by fusing three distinct yet interdependent analytical layers: • Time and Structure (Macro): Identifying high-probability trading windows (Killzones) and critical structural levels (Pre-Market Range, PDH/PDL). • Volatility and Scoring (Engine): Normalizing intraday momentum against annual volatility data to create an objective, statistically grounded AI Score. • Risk Management (Execution): Implementing dynamic, volatility-adjusted Stop Loss (SL) and Take Profit (TP) parameters based on the Average True Range (ATR). 2. The Mandate for 252-Day Normalization (Z-Score) What makes this tool unique is its 252-day Z-Score normalization engine that transforms raw momentum readings into statistically grounded probability scores, allowing the same indicator to deliver consistent, context-aware signals across any timeframe—from 1-minute scalping to 1-hour swing trades—without manual recalibration. THE PROBLEM OF SCALE INVARIANCE A high Relative Strength Index (RSI) reading on a 1-minute chart has a completely different market implication than a high RSI reading on a Daily chart. Simple percentage-based thresholds (like 70 or 30) do not provide true contextual significance. A sudden spike in momentum may look extreme on a 5-minute chart, but if it is statistically insignificant compared to the overall volatility of the last year, it may be a poor signal. THE SOLUTION: CROSS-TIMEFRAME Z-SCORE NORMALIZATION This indicator utilizes the Pine Script function request.security to reference the Daily timeframe for calculating the mean (μ) and standard deviation (σ) of a momentum oscillator (RSI) over the past 252 trading days (one year). The indicator then calculates the Z-Score (Z) for the current bar's raw momentum (x): Z = (x - μ) / σ Core Implementation: float raw_rsi = ta.rsi(close, 14) // x = request.security(syminfo.tickerid, "D", , // σ (252 days) lookahead=barmerge.lookahead_on) float cur_rsi_norm = d_rsi_std != 0 ? (raw_rsi - d_rsi_mean) / d_rsi_std : 0.0 // Z This score provides an objective measurement of current intraday momentum significance by evaluating its statistical extremity against the yearly baseline of daily momentum. This standardized approach provides the scoring engine with consistent, global contextual information, independent of the chart's current viewing timeframe. II. CORE COMPONENTS AND TECHNICAL ANALYSIS BREAKDOWN 1. TIME AND SESSION ANALYSIS (KILLZONES AND BIAS) The indicator visually segments the trading day based on New York (NY) trading sessions, aligning the analysis with periods of high institutional liquidity events. Pre-Market (PRE) • Function: Defines the range before the core market opens. This range establishes structural support and resistance levels (PMH/PML). • Technical Implementation: Uses a dedicated Session input (ny_pre_sess). The High and Low values (pm_h_val/pm_l_val) within this session are stored and plotted for structural reference. • Smart Extension Logic: PMH/PML lines are automatically extended until the next Pre-Market session begins, providing continuous support/resistance references overnight. NY Killzones (AM/PM) • Function: Highlights high-probability volatility windows where institutional liquidity is expected to be highest (e.g., NY open, lunch, NY close). • Technical Implementation: Separate session inputs (kz_ny_am, kz_ny_pm) are utilized to draw translucent background fills, providing a clear visual cue for timing. Market Regime Bias • Function: Determines the initial directional premise for the trading day. The bias is confirmed when the price breaks either the Pre-Market High (PMH) or the Pre-Market Low (PML). • Technical Implementation: Involves the comparison of the close price against the predefined structural levels (check_h for PMH, check_l for PML). The variable active_bias is set to Bullish or Bearish upon confirmed breakout. Trend Bar Coloring • Function: Applies a visual cue to the bars based on the established regime (Bullish=Cyan, Bearish=Red). This visual filter helps mitigate noise from counter-trend candles. • Technical Implementation: The Pine Script barcolor() function is tied directly to the value of the determined active_bias. 2. VOLATILITY NORMALIZED SCORING ENGINE The internal scoring mechanism accumulates points from multiple market factors to determine the strength and validity of a signal. The purpose is to apply a robust filtering mechanism before generating an entry. The score accumulation logic is based on the following factors: • Market Bias Alignment (+3 Points): Points are awarded for conformance with the determined active_bias (Bullish/Bearish). • VWAP Alignment (+2 Points): Assesses the position of the current price relative to the Volume-Weighted Average Price (VWAP). Alignment suggests conformity with the average institutional transaction price. • Volume Anomaly (+2 Points): Detects a price move accompanied by an abnormally high relative volume (odd_vol_spike). This suggests potential institutional participation or significant order flow. • VIX Integration (+2 Points): A score derived from the CBOE VIX index, assessing overall market stability and stress. Stable VIX levels add points, while high VIX levels (stress regimes) remove points or prevent signal generation entirely. • ML Probability Score (+3 Points): This is the core predictive engine. It utilizes a Log-Manhattan Distance Kernel to compare the current market state against historical volatility patterns. The script implements a Log-linear distance formula (log(1 + |Δ|) ). This approach mathematically dampens the impact of extreme volatility spikes (outliers), ensuring that the similarity score reflects true structural alignment rather than transient market noise. Core Technical Logic (Z-Score Normalization) float cur_rsi_norm = d_rsi_std != 0 ? (raw_rsi - d_rsi_mean) / d_rsi_std : 0.0 • Technical Purpose: This line calculates the Z-Score (cur_rsi_norm) of the current momentum oscillator reading (raw_rsi) by normalizing it against the mean (d_rsi_mean) and standard deviation (d_rsi_std) derived from 252 days of Daily momentum data. If the standard deviation is zero (market is perfectly flat), it safely returns 0.0 to prevent division by zero runtime errors. This allows the AI's probability score to be based on the current signal's significance within the context of the entire trading year. 3. EXECUTION AND RISK MANAGEMENT (ATR MODEL) The indicator utilizes the Average True Range (ATR) volatility model. This helps risk management scale dynamically with market volatility by allowing users to define TP/SL distances independently based on the current ATR. Stop Loss Multiplier (sl_mult) • Function: Sets the Stop Loss (SL) distance as a configurable multiple of the current ATR (e.g., 1.5 × ATR). • Technical Logic: The price level is calculated as: last_sl_price := close - (atr_val * sl_mult). The mathematical sign is reversed for short trades. Take Profit Multiplier (tp_mult) • Function: Sets the Take Profit (TP) distance as a configurable multiple of the current ATR (e.g., 3.0 × ATR). • Technical Logic: The price level is calculated as: last_tp_price := close + (atr_val * tp_mult). The mathematical sign is reversed for short trades. Structural SL Option • Function: Provides an override to the ATR-based SL calculation. When enabled, it forces the Stop Loss to the Pre-Market High/Low (PMH/PML) level, aligning the stop with a key institutional structural boundary. • Technical Logic: The indicator checks the use_struct_sl input. If true, the calculated last_sl_price is overridden with either pm_h_val or pm_l_val, dependent on the specific trade direction. Trend Continuation Logic • Function: Enables signal generation in established, strong trends (typically in the Afternoon session) based on follow-through momentum (a new high/low of the previous bar) combined with a high Signal Score, rather than exclusively relying on the initial PMH/PML breakout. • Technical Logic: For a long signal, the is_cont_long logic specifically requires checks like active_bias == s_bull AND close > high , confirming follow-through momentum within the established regime. Smart Snapping & Cleanup (16:00 Market Close) • Function: To maintain chart cleanliness, all trade boxes (TP/SL), AI Prediction zones, Killzone overlays (NY AM/PM), and Liquidity lines (PDH/PDL) are automatically "snapped" and cut off precisely at 16:00 NY Time (Market Close). • Technical Logic: When is_market_close condition is met (hour == 16 and minute == 0), the script executes cleanup logic that: ◦ Closes active trades and evaluates final P&L ◦ Snaps all TP/SL box widths to current bar ◦ Truncates AI Prediction ghost boxes at market close ◦ Cuts off NY AM/PM Killzone background fills ◦ Terminates PDH/PDL line extensions ◦ Prevents visual clutter from extending into post-market sessions 4. LIQUIDITY AND STRUCTURAL ANALYSIS The indicator plots key structural levels that serve as high-probability magnet zones or areas of potential liquidity absorption. • Pre-Market High/Low (PMH/PML): These are the high and low established during the configured pre-market session (ny_pre_sess). They define the primary structural breakout level for the day, often serving as the initial market inflection point or the key entry level for the morning session. • PDH (Previous Day High): The high of the calendar day immediately preceding the current bar. This represents a key Liquidity Pool; large orders are often placed above this level, making it a frequent target for stop hunts or liquidity absorption by market makers. • PDL (Previous Day Low): The low of the calendar day immediately preceding the current bar. This also represents a key Liquidity Pool and a high-probability reversal or accumulation point, particularly during the Killzones. FIFO Array Management The indicator uses FIFO (First-In-First-Out) array structures to manage liquidity lines and labels, automatically deleting the oldest objects when the count exceeds 500 to comply with drawing object limits. 5. AI PREDICTION BOX (PREDICTIVE MODEL) Function: Analyzes AI scores and volatility to project predicted killzone ranges and duration with asymmetric directional bias. A. DIRECTIONAL BIAS (ASYMMETRIC EXPANSION) The prediction model calculates directional probability using the ML kernel's 252-day Normalized RSI (Z-Score) and Relative Volume (RVOL). The prediction box dynamically adjusts its range based on this probability to provide immediate visual feedback on high-probability direction. Bullish Scenario (ml_prob > 1.0): • Upper Range: Expands significantly (1.5x multiplier) to show the aggressive upside target • Lower Range: Tightens (0.5x multiplier) to show the invalidation level • Visual Intent: The box is visibly skewed upward, immediately communicating bullish bias without requiring numerical analysis. Bearish Scenario (ml_prob < -1.0): • Upper Range: Tightens (0.5x multiplier) to show the invalidation level • Lower Range: Expands significantly (1.5x multiplier) to show the aggressive downside target • Visual Intent: The box is visibly skewed downward, immediately communicating bearish bias. Neutral Scenario (-1.0 < ml_prob < 1.0): Both ranges use balanced multipliers, creating a symmetrical box that indicates uncertainty. B. DYNAMIC VOLATILITY BOOSTER (SESSION-BASED ADAPTATION) The prediction box adjusts its volatility multiplier based on the current session and market conditions to account for intraday volatility patterns. AM Session (Morning: 07:00-12:00): • Base Multiplier: 1.0x (Neutral Base) • Logic: Morning sessions often contain false breakouts and noise. The base multiplier starts neutral to avoid over-projecting during consolidation. • Trend Booster: Multiplier jumps to 1.5x when: Price > London Session Open AND AI is Bullish (ml_prob > 0), OR Price < London Session Open AND AI is Bearish (ml_prob < 0) • Logic: When the London trend (typically 03:00-08:00 NY time) aligns with the AI model's directional conviction, the indicator aggressively targets higher volatility expansion. This filters for "institutional follow-through" rather than random morning chop. PM Session (Afternoon: 13:00-16:00): • Fixed Multiplier: 1.8x • Logic: The PM session, particularly the 13:30-16:00 ICT Silver Bullet window, often contains the "True Move" of the day. A higher baseline multiplier is applied to emphasize this session's significance over morning noise. Safety Floor: A minimum range of 0.2% of the current price is enforced regardless of volatility conditions. • Purpose: Maintains the prediction box visibility during extreme low-volatility consolidation periods where ATR might collapse to near-zero values. Volatility Clamp Protection: Maximum volatility is capped at three times the current ATR value. During flash crashes, circuit breaker halts, or large overnight gaps, raw volatility calculations can spike to extreme levels. This clamp prevents prediction boxes from expanding to unrealistic widths. Technical Implementation: f_get_ai_multipliers(float _prob) => float _abs_prob = math.abs(_prob) float _range_mult = 1.0 float _dur_mult = 1.0 if _abs_prob > 30 _range_mult := 1.8 else if _abs_prob > 10 _range_mult := 1.2 else _range_mult := 0.7 C. PRACTICAL INTERPRETATION • Wide Upper Range + Tight Lower Range: Strong bullish conviction. The model expects significant upside with limited downside risk. • Tight Upper Range + Wide Lower Range: Strong bearish conviction. The model expects significant downside with limited upside. • Symmetrical Range: Neutral/uncertain market. Wait for directional confirmation before entry. • Large Box (Extended Duration): High-confidence prediction expecting sustained movement. • Small Box (Short Duration): Low-confidence or choppy conditions. Expect quick resolution. III. PRACTICAL USAGE GUIDE: METHODOLOGY AND EXECUTION A. ESTABLISHING TRADING CONTEXT (THE THREE CHECKS) The primary goal of the dashboard is to filter out low-probability trade setups before they occur. • Timeframe Selection: Although the core AI is normalized to the Daily context, the indicator performs optimally on intraday timeframes (e.g., 5m, 15m) where session-based volatility is most pronounced. • PHASE Check (Timing): Always confirm the current phase. The highest probability signals typically occur within the visually highlighted NY AM/PM Killzones because this is when institutional liquidity and volume are at their peak. Signals outside these zones should be treated with skepticism. • MARKET REGIME Check (Bias): Ensure the signal (BUY/SELL arrow) aligns with the established MARKET REGIME bias (BULLISH/BEARISH). Counter-bias signals are technically allowed if the score is high, but they represent a higher risk trade. • VIX REGIME Check (Risk): Review the VIX REGIME for overall market stress. Periods marked DANGER (high VIX) indicate elevated volatility and market uncertainty. During DANGER regimes, reducing position size or choosing a wider SL Multiplier is advisable. B. DASHBOARD INTERPRETATION (THE REAL-TIME STATUS DISPLAY) The indicator features a non-intrusive dashboard that provides real-time, context-aware information based on the core analytical engines. PHASE: (PRE-MARKET, NY-AM, LUNCH, NY-PM) • Meaning: Indicates the current institutional session time. This is derived from the customizable session inputs. • Interpretation: Signals generated during NY-AM or NY-PM (Killzones) are generally considered higher-probability due to increased institutional participation and liquidity. MARKET REGIME: (BULLISH, BEARISH, NEUTRAL) • Meaning: The established directional bias for the trading day, confirmed by the price breaking above the Pre-Market High (PMH) or below the Pre-Market Low (PML). • Interpretation: Trading with the established regime (e.g., taking a BUY signal when the regime is BULLISH) is the primary method. NEUTRAL indicates that the PMH/PML boundary has not yet been broken, suggesting market ambiguity. VIX REGIME: (STABLE, DANGER) • Meaning: A measure of overall market stress and stability, based on the CBOE VIX index integration. The thresholds (20.0 and 35.0 default) are customizable by the user. • Interpretation: STABLE indicates stable volatility, favoring momentum trades. DANGER (VIX > 35.0) indicates extreme stress; signals generated in this environment require caution and often necessitate smaller position sizing. SIGNAL SCORE: (0 to 10+ Points) • Meaning: The accumulated score derived from the VOLATILITY NORMALIZED AI SCORING ENGINE, factoring in bias, VWAP alignment, volume, and the Z-Score probability. • Interpretation: The indicator generates a signal when this score meets or exceeds the Minimum Entry Score (default 3). A higher score (e.g., 7+) indicates greater statistical confluence and a stronger potential entry. AI PROBABILITY: (Bull/Bear %) • Meaning: Directional probability derived from the ML kernel, expressed as a percentage with Bull/Bear label. • Interpretation: Higher absolute values (>20%) indicate stronger directional conviction from the ML model. LIVE METRICS SECTION: • STATUS: Shows current trade state (LONG, SHORT, or INACTIVE) • ENTRY: Displays the entry price for active trades • TARGET: Shows the calculated Take Profit level • ROI | KILL ZONE: ◦ For Active Trades: Displays real-time P&L percentage during NY session hours. ◦ At Market Close (16:00 NY): Since this is a NY session-specific indicator, any active position is automatically evaluated and closed at 16:00. The final result (VALIDATED or INVALIDATED) is determined based on whether the trade reached profit or loss at market close. ◦ Result Persistence: The killzone result (VALIDATED/INVALIDATED) remains displayed on the dashboard until the next NY AM KILLZONE session begins, providing a clear performance reference for the previous trading day. Note: If a trade is still trending at 16:00, it will be force-closed and evaluated at that moment, as the indicator operates strictly within NY trading hours. C. SIGNAL GENERATION AND ENTRY LOGIC The indicator generates signals based on two distinct technical setups, both of which require the accumulated SIGNAL SCORE to be above the configured Minimum Entry Score. Breakout Entry • Trigger Condition: Price closes beyond the Pre-Market High (PMH) or Low (PML). • Rationale: This setup targets the initial directional movement for the day. A breakout confirms the institutional bias by decisively breaking the first major structural boundary, making the signal high-probability. Continuation Entry • Trigger Condition: The market is already in an established regime (e.g., BULLISH), and the price closes above the high (or below the low) of the previous bar, while the SIGNAL SCORE remains high. Requires the Allow Trend Continuation parameter to be active. • Rationale: This setup targets follow-through trades, typically in the afternoon session, capturing momentum after the morning's direction has been confirmed. This filters for sustainability in the established trend. Execution: Execute the trade immediately upon the close of the bar that prints the BUY or SELL signal arrow. D. MANAGING RISK AND EXITS 1. RISK PARAMETER SELECTION The indicator immediately draws the dynamic TP/SL zones upon entry. • Volatility-Based (Recommended Default): By setting the SL Multiplier (e.g., 1.5) and the TP Multiplier (e.g., 3.0), the indicator enforces a constant, dynamically sized risk-to-reward ratio (e.g., 1:2 in this example). This helps that risk management scales proportionally with the current market volatility (ATR). • Structural Override: Selecting the Use Structural SL parameter fixes the stop-loss not to the ATR calculation, but to the more significant structural level of the PMH or PML. This is utilized by traders who favor institutional entry rules where the stop is placed behind the liquidity boundary. 2. EXIT METHODS • Hard Exit: Price hits the visual TP or SL box boundary. • Soft Exit (Momentum Decay Filter): If the trade is active and the SIGNAL SCORE drops below the Exit Score Threshold (default 3), it indicates that the momentum supporting the trade has significantly collapsed. This serves as a momentum decay filter, prompting the user to consider a manual early exit even if the SL/TP levels have not been hit, thereby preserving capital during low-momentum consolidation. • Market Close Auto-Exit: At 16:00 NY time, any active trade is automatically closed and classified as VALIDATED (profit) or INVALIDATED (loss) based on current price vs. entry price. IV. PARAMETER REFERENCE AND CONFIGURATION A. GLOBAL SETTINGS • Language (String, Default: English): Selects the language for the dashboard and notification text. Options: English, Korean, Chinese, Spanish, Portuguese, Russian, Ukrainian, Vietnamese. B. SESSION TIMES (3 BOX SYSTEM) • PRE-MARKET (Session, Default: 0800-0930): Defines the session range used for Pre-Market High/Low (PMH/PML) structural calculation. • REGULAR (Morning) (Session, Default: 0930-1200): Defines the core Morning trading session. • AFTERNOON (PM) (Session, Default: 1300-1600): Defines the main Afternoon trading session. • Timezone (String, Default: America/New_York): Sets the timezone for all session and time-based calculations. C. NY KILLZONES (OVERLAYS) • Show NY Killzones (Bool, Default: True): Toggles the translucent background fills that highlight high-probability trading times (Killzones). • NY AM Killzone (Session, Default: 0700-1000): Defines the specific time window for the first key liquidity surge (Open overlap). • NY PM Killzone (Session, Default: 1330-1600): Defines the afternoon liquidity window, aligned with the ICT Silver Bullet and PM Trend entry timing. • Allow Entry in Killzones (Bool, Default: True): Enables or disables signal generation specifically during the defined Killzone hours. • Activate AI Prediction Box (Bool, Default: True): Toggles the drawing of the predicted target range boxes on the chart. D. CORE SCORING ENGINE • Minimum Entry Score (Int, Default: 3): The lowest accumulated score required for a Buy/Sell signal to be generated and plotted. • Allow Trend Continuation (Bool, Default: True): Enables the secondary entry logic that fires signals based on momentum in an established trend. • Force Ignore Volume (Bool, Default: False): Overrides the volume checks in the scoring engine. Useful for markets where volume data is unreliable or nonexistent. • Force Show Signals (Ignore Score) (Bool, Default: False): Debug mode that displays all signals regardless of score threshold. • Integrate CBOE:VIX (Bool, Default: True): Enables the connection to the VIX index for market stress assessment. • Stable VIX (<) (Float, Default: 20.0): VIX level below which market stress is considered low (increases score). • Stress VIX (>) (Float, Default: 35.0): VIX level above which market stress is considered high (decreases score/flags DANGER). • Use ML Probability (Bool, Default: True): Activates the volatility-normalized AI Z-Score kernel. Disabling this removes the cross-timeframe normalization filter. • Max Learning History (Int, Default: 2000): Maximum number of bars stored in the ML training arrays. • Normalization Lookback (252 Days) (Int, Default: 252): The number of DAILY bars used to calculate the Z-Score mean and standard deviation (representing approximately 1 year of data). E. RISK MANAGEMENT (ATR MODEL) • Use Structural SL (Bool, Default: False): Overrides the ATR-based Stop Loss distance to use the Pre-Market High/Low as the fixed stop level. • Stop Loss Multiplier (x ATR) (Float, Default: 1.5): Defines the Stop Loss distance in multiples of the current Average True Range (ATR). • Take Profit Multiplier (x ATR) (Float, Default: 3.0): Defines the Take Profit distance in multiples of the current Average True Range (ATR). • Exit Score Threshold (<) (Int, Default: 3): The minimum score below which an active trade is flagged for a Soft Exit due to momentum collapse. F. VISUAL SETTINGS • Show Dashboard (Bool, Default: True): Toggles the real-time data panel. • Show NY Killzones (Bool, Default: True): Toggles killzone background fills. • Show TP/SL Zones (Bool, Default: True): Toggles the drawing of Take Profit and Stop Loss boxes. • Show Pre-Market Extensions (Bool, Default: True): Extends PM High/Low lines across the entire chart for support/resistance reference. • Activate AI Prediction Box (Bool, Default: True): Enable or disable the predictive range projection. • Light Mode Optimization (Bool, Default: True): Toggles dashboard and plot colors for optimal visibility on white (light) chart backgrounds. • Enforce Trend Coloring (Bool, Default: True): Forces candle colors based on Market Regime (Bullish=Cyan, Bearish=Pink) to emphasize trend direction. • Label Size (String, Default: Normal): Options: Tiny, Small, Normal. G. LIQUIDITY POOLS (PDH/PDL) • Show Liquidity Lines (Bool, Default: True): Toggles the display of the Previous Day High (PDH) and Low (PDL) lines. • Liquidity High Color (Color, Default: Green): Color setting for the PDH line. • Liquidity Low Color (Color, Default: Red): Color setting for the PDL line. 🔔 ALERT CONFIGURATION GUIDE The indicator is equipped with specific alert conditions. How to Set Up an Alert: Click the "Alert" (Clock icon) in the top TradingView toolbar. Select "Market Regime NY Session " from the Condition dropdown menu. Choose one of the specific trigger conditions below depending on your strategy: 🚀 Available Alert Conditions 1. BUY (Long Entry) Trigger: Fires immediately when a confirmed Bullish Setup is detected. Conditions: Market Bias is Bullish (or valid Continuation) + Signal Score ≥ Minimum Entry Score. Usage: Use this alert to open new Long positions or close existing Short positions. 2. SELL (Short Entry) Trigger: Fires immediately when a confirmed Bearish Setup is detected. Conditions: Market Bias is Bearish (or valid Continuation) + Signal Score ≥ Minimum Entry Score. Usage: Use this alert to open new Short positions or close existing Long positions. V. IMPORTANT TECHNICAL LIMITATIONS ⚠️ Intraday Only (Timeframe Compatibility) This indicator is strictly designed for Intraday Timeframes (1m to 4h). Daily/Weekly Charts: The session logic (e.g., "09:30-16:00") cannot function on Daily bars because a single bar encompasses the entire session. Session boxes, TP/SL zones, and AI prediction boxes will NOT draw on the Daily timeframe. Only the PDH/PDL liquidity lines remain visible on Daily charts. This is expected behavior, not a limitation. Maximum Supported Timeframe: All visual components (session boxes, killzone overlays, TP/SL zones, AI prediction boxes) are displayed up to the 4-hour timeframe. Above this timeframe, only PDH/PDL lines and the dashboard remain functional. ⚠️ Drawing Object Limit (Max 500) A single script can display a maximum of 500 drawing objects (boxes/lines) simultaneously. On lower timeframes (e.g., 1-minute), where many signals and session boxes are generated, older history (typically beyond 10-14 days) will automatically disappear to make room for new real-time data. For deeper historical backtesting visualization, switch to higher timeframes (e.g., 15m, 1h). The indicator implements FIFO array management to comply with this limit while maintaining the most recent and relevant visual data. VI. PRACTICAL TRADING TIPS AND BEST PRACTICES • Killzone Confirmation: The highest statistical validity is observed when a high-score signal occurs directly within a visible NY AM/PM Killzone. Use the Killzones as a strict time filter. • Liquidity Awareness (PDH/PDL): Treat the Previous Day High (PDH) and Low (PDL) lines as magnets. If your dynamic Take Profit (TP) is placed just above PDH, consider adjusting your target slightly below PDH or utilizing the Soft Exit, as liquidity absorption at these levels often results in sudden, sharp reversals that stop out a trade just before the target is reached. • VIX as a Position Sizer: During DANGER VIX regimes, the resulting high volatility means the ATR value will be large. It is prudent to either reduce the SL Multiplier or, more commonly, reduce the overall position size to maintain a constant currency risk exposure per trade. • Continuation Filter Timing: Trend Continuation signals are most effective during the Afternoon (PM) session when the morning's directional breakout has had time to establish a strong, clear, and sustainable trend. Avoid using them in the initial AM session when the direction is still being contested. • 16:00 Market Close Rule: All trades, boxes, and lines are automatically cleaned up at 16:00 NY time. This prevents overnight chart clutter and maintains visual clarity. VII. DISCLAIMER & RISK WARNINGS • Educational Purpose Only This indicator, including all associated code, documentation, and visual outputs, is provided strictly for educational and informational purposes. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. • No Guarantee of Performance Past performance is not indicative of future results. All metrics displayed on the dashboard (including "ROI" and trade results) are theoretical calculations based on historical data. These figures do not account for real-world trading factors such as slippage, liquidity gaps, spread costs, or broker commissions. • High-Risk Warning Trading cryptocurrencies, futures, and leveraged financial products involves a substantial risk of loss. The use of leverage can amplify both gains and losses. Users acknowledge that they are solely responsible for their trading decisions and should conduct independent due diligence before executing any trades. • Software Limitations The software is provided "as is" without warranty. Users should be aware that market data feeds on analysis platforms may experience latency or outages, which can affect signal generation accuracy.
אינדיקטור Pine Script®
מאת ‎ApexLegion‎
SPX Iron Fly Session TrackerOverview This indicator provides visual tracking for iron fly option structures designed for SPX 0-day-to-expiration (0DTE) intraday trading. It implements a two-phase position management system that adapts to different market conditions throughout the trading day. This is a visualization and tracking tool only. It does not execute trades, access real options data, or calculate actual profit and loss. All displayed positions are theoretical representations based on underlying price movement. Strategy Goal and Context The Core Objective: The strategy aims to have SPX price expire within your iron fly positions at end of day. When price expires inside a fly's profit zone (between the wings), that position captures maximum premium. The challenge is that price moves throughout the day, so static positioning rarely succeeds. The Solution: Active Management Rather than setting positions and hoping price cooperates, this approach continuously manages and repositions flies to keep price centered within your profit zones. As SPX drifts during the trading session, you add new flies at current price levels and close flies that price has moved away from. The Goal: Multiple Profitable Expirations By session end, you want as many flies as possible to have price expire within their center zones. This requires: Adding new flies as price moves away from existing positions Closing flies when price crosses beyond their optimal range Building layered coverage in the afternoon to increase probability of capture Adapting wing widths to time of day and volatility The Reality: Capital and Time Intensive This is not a passive strategy. Successful implementation requires: Substantial capital (each fly requires margin, multiple flies compound this) Active monitoring throughout trading sessions Quick decision-making as positions trigger Multiple position adjustments per session Disciplined adherence to management rules How This Indicator Helps: For backtesting: Use replay mode to study how positions would have managed on historical sessions Test different parameter combinations to find optimal settings Observe position behavior during various market conditions Understand timing and frequency of position adds and closes Validate whether your capital can support the required position count For live session support: Real-time visual tracking shows current position coverage Alerts notify you immediately when new positions should be added Position closure alerts help you manage exits promptly Reference strike tracking shows where you're measuring movement from History table provides audit trail of all position activity The indicator handles the complex tracking and rule application, allowing you to focus on execution and risk management. Key Use Cases 1. Replay Mode - Backtest and Study Use TradingView's replay feature to validate the strategy on historical sessions: Step through past SPX sessions bar-by-bar See exactly when positions would have opened and closed Count how many flies would have expired profitably Analyze different parameter settings on the same historical data Study position behavior during trending vs ranging conditions Calculate approximate capital requirements for your setup Refine your parameters before risking real capital 2. Live Session Alerts Set up real-time notifications for active trading sessions: Get alerted immediately when new positions trigger Receive notifications when positions close Alerts include strike level, wing width, and closure reason Works on mobile, desktop, email, or webhook Never miss a position signal during active trading Maintain awareness even when away from screens briefly 3. Fully Customizable Parameters Adapt every aspect to your risk tolerance and capital: Adjust trigger distances for more or fewer position adds Modify wing widths for different volatility environments Change session timing to match your trading schedule Set maximum concurrent positions to your capital limits Fine-tune spacing to match available strike increments Iron Fly Structure An iron fly is a neutral options strategy with four legs: - Short 1 ATM Call - Short 1 ATM Put - Long 1 OTM Call (upper wing protection) - Long 1 OTM Put (lower wing protection) The structure creates a defined risk zone. Maximum profit occurs when price expires at the center strike. Loss increases as price moves toward the wings (breakeven points). Maximum loss is defined and occurs beyond the wings. Expiration Goal: You want SPX to close inside the fly's wings. If SPX expires at the strike, you capture maximum premium. If SPX expires between the strike and either wing, you still profit (reduced). If SPX expires beyond the wings, you realize a loss (but it's defined and limited by the wings). Two-Phase Management System The indicator tracks positions across two distinct trading phases with different management rules: Phase 1: TWO_GLASS - Morning Session (Default 10am-1pm ET) Conservative positioning with active repositioning: - Trigger new positions when price moves 7.5 points from reference strike (configurable) - Maintain maximum 2 concurrent positions (configurable) - 10-point spacing between position strikes (configurable) - 40-point wing width (configurable) - Exit rule: When two positions are active and price crosses to one strike level, close the OTHER position This phase uses a "follow the price" approach. You're not trying to stack multiple positions yet - you're maintaining one or two flies centered on wherever price currently is. As price drifts, you add a new fly at the current level and close the old one when price moves too far away. Phase 2: THREE_GLASS - Afternoon Session (Default 1pm-4pm ET) Accumulation mode with layered coverage: - Trigger new positions every 2.5 points of price movement (configurable) - Maintain maximum 6 concurrent positions (configurable) - 5-point spacing between strikes (configurable) - 20-point wings early, reducing to 10 points after 3pm (configurable) - Exit rule: Positions only close when price reaches wing extremes This phase builds a stacked profit zone. Instead of swapping positions, you accumulate multiple flies as price moves. The goal is to have several flies active at expiration, creating a wider net to capture price. Tighter spacing and more frequent triggers create this layered coverage. Why Two Different Phases? Morning (Phase 1): Earlier in the day, price has more time to move substantially. Maintaining many concurrent positions is riskier because price could trend and hit multiple wings. The strategy uses selective positioning with wider wings and active replacement. Afternoon (Phase 2): Closer to expiration, price movements typically compress. Time for large moves decreases. The strategy shifts to accumulation, building a net of positions to increase probability that final expiration price falls within at least one (ideally several) of your flies. Tighter wings and more positions become appropriate. Exit Mechanisms Strike Cross Exit (Phase 1 Only) When two positions are active, if price moves to or beyond one position's strike level, the OTHER position closes. This keeps your coverage centered on current price action rather than maintaining positions price has moved away from. Example: Flies at 5900 and 5910 are open. Price moves to 5910. The fly at 5900 closes because price has moved to the 5910 level. You're now positioned at current price (5910) rather than maintaining coverage at old price (5900). Wing Extreme Exit (Both Phases) Any position closes immediately when price touches its upper or lower wing boundary. This represents the breakeven/maximum loss point, so the position is closed to prevent further deterioration. Dynamic Wing Adjustment Wing widths automatically adjust based on time of day: - Phase 1 (Morning): 40 points (customizable) - Phase 2 Early (1pm-3pm): 20 points (customizable) - Phase 2 Late (3pm-4pm): 10 points (customizable) This progressive tightening reflects decreasing price movement potential as expiration approaches. Wider wings earlier provide more protection when price could move substantially. Tighter wings later allow more precise positioning when price movements typically compress. All values are fully adjustable to match your risk parameters and observed market volatility. Customization Guide Every parameter can be modified to suit your trading style, risk tolerance, and capital: Session Timing - TWO_GLASS Start Hour: When Phase 1 begins (default: 10am ET) - THREE_GLASS Start Hour: When Phase 2 begins (default: 1pm ET) - Wing Width Change Hour: When wings tighten (default: 3pm ET) - Session End Hour: When tracking stops (default: 4pm ET) Phase 1 Parameters (Fully Adjustable) - Trigger Distance: How far price must move from reference strike to add new position (default: 7.5, range: 0.1+) - Fly Spacing: Distance between position strikes (default: 10, range: 1.0+) - Wing Width: Distance from strike to wings (default: 40, range: 5.0+) - Max Flies: Maximum concurrent positions (default: 2, range: 1-10) Phase 2 Early Parameters (Fully Adjustable) - Trigger Distance: Movement needed to add new position (default: 2.5, range: 0.1+) - Fly Spacing: Distance between strikes (default: 5, range: 1.0+) - Wing Width: Strike to wing distance (default: 20, range: 5.0+) - Max Flies: Maximum concurrent positions (default: 6, range: 1-20) Phase 2 Late Parameters - Wing Width: Reduced width after 3pm (default: 10, range: 5.0+) General Settings - Strike Rounding: Round strikes to nearest multiple (default: 5.0, range: 1.0+) - Bars Before Check: Bars to wait before allowing closure (default: 2, prevents premature exits) Display Options - Show History Table: Toggle detailed position log (default: on) - History Table Rows: Number of positions displayed (default: 15, range: 5-30) Alert Settings - Enable Alerts: Toggle notifications for opens/closes (default: on) How to Use For Backtesting in Replay Mode: Select a historical SPX trading session Apply indicator to 1-5 minute timeframe Configure your preferred parameters Activate TradingView's replay feature Play through the session (step-by-step or continuous) Observe when positions open (green boxes appear) Watch position closures (boxes turn gray) Count how many flies would have expired with price inside (green at session end) Note total number of position adds throughout session Calculate approximate capital needed (positions × margin per fly) Test different parameter combinations on same historical data Study position behavior during trending vs ranging sessions For Live Trading Sessions: Apply indicator to SPX on 1-5 minute timeframe Configure parameters based on your backtest results Create alerts for "Iron Fly Opened" and "Iron Fly Closed" Set alert frequency to "Once Per Bar Close" Choose notification method (popup, mobile app, email, webhook) Monitor the status table (top-right) for current session and reference strike Review history table (bottom-right) for position log with timestamps When alert triggers, use visual cues to manually place actual option orders Execute position adds and closes as indicated by the tracker Visual Interpretation: Green boxes = Active positions (theoretical profit zones) White lines (Phase 1) / Aqua lines (Phase 2) = Strike levels Red/Blue dotted lines = Wing boundaries (breakeven/risk limits) Gray boxes = Closed positions (historical reference) Current SPX price line = Shows where price is relative to positions Top-right table = Current session status, reference strike, open/closed counts Bottom-right table = Complete position history with open/close timestamps Alert System Details The indicator generates detailed alert messages for position management: Position Opened: - Strike level where fly should be placed - Wing width (±points from strike) - Session phase (Phase 1 or Phase 2) - Alert format example: "Iron Fly OPENED | Strike: 5900 | Wings: ±40 | Session: TWO_GLASS" Position Closed: - Strike level of fly being closed - Closure reason (strike cross, wing extreme, etc.) - Session phase - Alert format example: "Iron Fly CLOSED | Strike: 5900 | Reason: Price crossed to lower fly | Session: TWO_GLASS" Configure alerts once before market open, then receive automatic notifications as positions trigger throughout the trading session. Parameter Optimization Suggestions For Higher Volatility Environments: - Increase trigger distances (e.g., Phase 1: 10-15 points, Phase 2: 3-5 points) - Widen wing widths (e.g., Phase 1: 50-60 points, Phase 2: 25-30 points early, 15-20 late) - Increase strike spacing to reduce position frequency For Lower Volatility Environments: - Decrease trigger distances (e.g., Phase 1: 5-7 points, Phase 2: 1.5-2 points) - Tighten wing widths (e.g., Phase 1: 30-35 points, Phase 2: 15-18 points early, 8-10 late) - Reduce strike spacing for more granular coverage For Conservative Risk Management: - Reduce maximum concurrent positions (Phase 1: 1, Phase 2: 3-4) - Widen wing widths for more breathing room - Increase bars before check to avoid whipsaws - Use wider trigger distances to reduce position frequency For Aggressive Positioning: - Increase maximum concurrent positions (Phase 2: 8-10) - Tighten trigger distances for more frequent adds - Reduce bars before check for faster responses - Use tighter spacing to create denser coverage Capital Considerations: Remember that each fly requires margin. If Phase 2 allows 6 concurrent flies and each requires $10,000 margin, you need $60,000 in available capital just for position requirements, plus additional cushion for adverse movement. Use replay mode to count maximum concurrent positions that would have occurred on historical sessions with your parameters, then calculate total capital needed. Practical Application This tool provides visual guidance and management support. To implement the strategy: Backtest thoroughly in replay mode first Validate capital requirements for your parameter settings Confirm you can actively monitor positions during trading hours Use displayed positions as reference for manual order placement Match indicator parameters to your actual option contracts Account for real-world factors: commissions, slippage, bid-ask spreads, option availability Implement proper position sizing based on available capital Set up alerts before market open to catch all signals Execute actual trades manually in your brokerage platform Track actual results versus indicator expectations Important Limitations Theoretical tracking only - not an automated trading system No access to real option prices, Greeks, or implied volatility No profit/loss calculations or risk metrics Does not account for time decay (theta), delta, gamma, vega changes Assumes continuous price action - gaps or halts not handled Designed for 0DTE SPX options - not suitable for other timeframes or instruments Assumes option availability at all strike levels - may not reflect reality Does not model actual option bid/ask spreads or liquidity Assumes instant execution at desired strikes - slippage not considered Historical replay shows theoretical behavior only - actual market conditions may differ Does not adjust for changing implied volatility throughout session Position count and timing may not match what's executable in real markets Capital and Time Requirements This strategy is resource-intensive: Capital Requirements: Each iron fly requires margin (varies by broker and strike width) Multiple concurrent positions multiply capital needs Example: 6 flies at $10,000 each = $60,000 minimum Additional cushion needed for adverse movement Pattern Day Trader rules may apply (requires $25,000 minimum) Time Requirements: Active monitoring during trading hours (typically 10am-4pm ET) Quick response to position add/close signals Multiple position adjustments per session possible Cannot be passive or set-and-forget Requires ability to place orders promptly when alerted Use replay mode to understand the commitment level before attempting live implementation. Risk Considerations Iron fly trading involves substantial risk. This indicator provides visualization and management support only - it does not constitute financial advice or trading recommendations. Options trading can result in total loss of capital. The indicator's theoretical positions do not reflect actual trading results. Backtest analysis and historical visualization do not guarantee similar future outcomes. Multiple concurrent positions multiply both profit potential and loss risk. Always conduct independent research, understand all risks, validate capital requirements, and never trade with funds you cannot afford to lose. Consider starting with paper trading to validate execution capability before risking real capital. Technical Notes The indicator uses price-based triggers only. It does not: Connect to options data feeds Calculate theoretical option values or Greeks Execute trades automatically Provide specific trading signals or recommendations Account for option-specific factors (implied volatility, time decay, bid/ask spreads) All displayed information represents theoretical position placement based solely on underlying SPX price movement and user-configured parameters. The tool helps visualize the management framework but requires the trader to handle all actual execution and risk management decisions. This is an educational and analytical tool for understanding iron fly position management concepts. It requires active interpretation, backtesting validation, and manual implementation by the user.
אינדיקטור Pine Script®
מאת ‎luiscaballero‎
Smart Money Concept, Modern ViewSmart Money Concept, Modern View (SMCMV) Institutional Volume Flow Analysis with VWMA Matrix ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📌 OVERVIEW SMCMV is an advanced institutional-grade indicator that combines Volume-Weighted Moving Average (VWMA) matrix analysis with sophisticated volume decomposition to detect buyer and seller entry points. The indicator provides a comprehensive real-time dashboard displaying market structure, volume dynamics, and validated trading signals. Key Features: • Dual Volume Model: Geometry-based (candle range split) and Intrabar (precise LTF data) • 10-Period VWMA Spectrum: Multi-timeframe support/resistance matrix (7, 13, 19, 23, 31, 41, 47, 67, 83, 97) • 5-Layer Scoring System: 100-point institutional-grade signal quality assessment • State Machine Signal Engine: Validated entry/exit signals with timer and range confirmation • Real-time Prediction Engine: Candle-by-candle buyer/seller probability estimation • High Volume Node Detection: Automatic identification of significant volume zones ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📊 DASHBOARD REFERENCE 1) NOW VECTOR (Current Market State) This section captures the immediate market conditions: • FLOW ANGLE: Directional angle of price movement in degrees (from VWMA-5). Positive = bullish, Negative = bearish. • LTP: Last Traded Price - current close price. • NET FLOW (Δ): Volume Delta - net difference between buying and selling volume. Shows ⚡+ or ⚡-. • LIQUIDITY: Total volume on the current bar (K/M format). • BUY VOL: Estimated buying volume based on selected model. • SELL VOL: Estimated selling volume. • BID PRES.: Buying volume as percentage of total volume. • ASK PRES.: Selling volume as percentage of total volume. • DIRECTION: Current state with hysteresis: BULL (🐂), BEAR (🐻), or NEUT (⚪). 2) DATA QUALITY / CONFIG Configuration status and data integrity monitoring: • VOL MODEL: INTRABAR (uses LTF data) or GEOMETRY (estimates from candle structure). • IB LTF: Intrabar Lower Timeframe for precise volume decomposition. • MODE: Micro (7 periods: 7-47) or Macro (10 periods: 7-97). • IB OK: Intrabar data validity - OK or NO. • IB STREAK: Consecutive bars with valid intrabar data. • LATENCY: Data freshness indicator. ✓ = current, ↺ = using historical reference. 3) STRUCTURE RADAR Market structure analysis showing price position relative to VWMA matrix: • WIRES ▲/▼: Count of VWMAs above (resistance) and below (support). • RES: Nearest Resistance - shows MA period, "ZN RES", or "BLUE SKY". • SUPP: Nearest Support - shows MA period, "ZN SUPP", or "FREE FALL". 4) ACTIVE INTERACTION Real-time analysis of price interaction with key levels: • Header Status: "⚠ TESTING SUPPLY (ASK SIDE)" / "⚠ TESTING DEMAND (BID SIDE)" / "--- NO KEY INTERACTION ---" • TARGET: Active level being tested (MA period or zone type). • TEST LEVEL: Exact price level being tested. • SCORE: Total score (0-100%) with letter grade . • VOLUME POWER: Volume ratio vs historical average (e.g., "2.5x"). • BREAKOUT: "CONFIRMED" if attacking volume exceeds defending, "REJECTED" otherwise. • DELTA DIR: "ALIGNED" if delta matches accumulation trend, "CONFLICT" if opposing. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🎯 5-LAYER SCORING SYSTEM (100 Points Total) Layer 1: Volume Quality (Max 25 pts) • Mass (0-10): Volume ratio vs average. 0.5x=0, 1.0x=5, 2.0x=8, 3.0x+=10 • Spike (0-8): Volume Z-Score intensity • Trend (0-7): Volume trend alignment with price direction Layer 2: Battle Structure (Max 25 pts) • Break (0-10): Breakout intensity ratio (attacker vs defender) • Dom (0-8): Internal dominance ratio • Pres (0-7): Pressure imbalance percentage Layer 3: Flow & Energy (Max 20 pts) • Delta (0-8): Delta alignment with accumulation trend • Accel (0-6): Delta acceleration • Mom (0-6): Flow momentum Layer 4: Geometry (Max 15 pts) • Impact (0-7): Impact angle directness • Vec (0-5): Vector alignment • PriceZ (0-3): Price Z-Score position Layer 5: Army Structure (Max 15 pts) • Stack (0-5): MA stack depth • Conf (0-5): Confluence percentage • Trend (0-5): Trend alignment count (7>13, 13>23, 23>97) Grade Scale: • A+ = 90-100 pts (Exceptional) • A = 80-89 pts (Strong) • B+ = 70-79 pts (Good) • B = 60-69 pts (Moderate) • C+ = 50-59 pts (Below average) • C/D/F = Below 50 pts (Weak) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 5) SIGNAL STATUS PANEL Real-time signal state machine status: • Header: "🐂 BUYERS ACTIVE" / "🐻 SELLERS ACTIVE" / "⏳ VALIDATING..." / "⏸ RANGE / FLAT" • LOCK PRICE: Price at which signal was locked/confirmed. • RANGE ±: Validation range percentage. • POSITION: Price vs lock: "▲ ABOVE" / "▼ BELOW" / "● AT LOCK" • DISTANCE: Percentage distance from lock price. • vs RANGE: Position vs validation range: "IN_RANGE" / "ABOVE" / "BELOW" • VAL TICKS: Validation progress (current/required ticks). 6) REALTIME PREDICTION PANEL Candle prediction engine: • WINNER: Predicted dominant side: "BUYERS" / "SELLERS" / "NEUTRAL" • CONFIDENCE: Prediction confidence percentage. • ACCURACY: Historical prediction accuracy (session-specific). • BUY/SELL PROB: Individual probabilities for each side. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🏷️ SIGNAL LABELS REFERENCE • 🐂 BUYER ENTRY (Green): Confirmed buyer entry signal. Validation complete. • 🐻 SELLER ENTRY (Red): Confirmed seller entry signal. Validation complete. • 🔻 REVERSAL BUY→SELL (Magenta): Reversal from buyer to seller position. • 🔺 REVERSAL SELL→BUY (Cyan): Reversal from seller to buyer position. • ⏹ EXIT → FLAT (Gray): Position exit to flat/neutral state. • ⬆ BUYER STRONGER (Small Green): Lock price updated higher during buyer state. • ⬇ SELLER STRONGER (Small Red): Lock price updated lower during seller state. Display Modes: • Minimal: Icon only (hover for tooltip details) • Normal: Icon + Price level • Detailed: Full information (price, score, grade) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📈 CHART ELEMENTS VWMA Spectrum Lines Colored gradient lines representing the 10-period VWMA matrix. Color progresses from light blue (fast: 7-period) through purple to orange (slow: 97-period). These act as dynamic support/resistance levels weighted by volume. High Volume Node Lines • Blue Lines: High Buy Volume zones - potential demand areas • Red Lines: High Sell Volume zones - potential supply areas • Yellow Lines: Overlapping zones (buy + sell extremes) - high conflict areas Lock Price Line & Range Band • Dashed Line: Locked price level (green for buyers, red for sellers) • Dotted Lines: Upper/lower bounds of validation range ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚙️ INPUT SETTINGS GUIDE Volume Model • Calculation Method: "Geometry (Candle-Range Split)" for universal compatibility or "Intrabar (Precise)" for accurate buy/sell separation. • Intrabar LTF: Lower timeframe for Intrabar mode (e.g., "1" for 1-minute). Direction Filter • Direction Trigger Angle: Threshold for directional state change (default: 1.5°) • Neutral Reset Angle: Threshold for returning to neutral (default: 0.7°) Testing Filter • Level Proximity (%): How close price must be to "test" a level (default: 0.25%) • Require Wick Touch: If enabled, requires high/low to touch proximity band. Signal Validation • Lock Range (%): Price range for validation (default: 0.5%) • Validation Ticks: Consecutive bars required (default: 3) • Validation Time: Minimum seconds for real-time confirmation (default: 5) • Minimum Hold Bars: Stay in position for at least this many bars (default: 5) • Exit Mode: "Reversal Only" / "Signal Loss" / "Price Stop" • Stop Loss (%): Exit threshold (default: 1.0%) Signal Score Filter • Score Range Minimum: Minimum score for signal generation (default: 10%) • Score Range Maximum: Maximum score threshold (default: 100%) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 💡 USAGE RECOMMENDATIONS 1. Start with Macro mode to see the complete VWMA spectrum, then switch to Micro for cleaner charts. 2. Use Intrabar mode when your broker provides lower timeframe data. 3. Focus on high-grade signals (B+ or better) for higher probability setups. 4. Wait for validation to complete before acting on signals. 5. Use the Lock Price line as your reference for position management. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚠️ IMPORTANT NOTES • This indicator is designed for educational and analytical purposes. • Always combine with proper risk management and additional confirmation. • Past performance and signal quality do not guarantee future results. • The prediction accuracy is session-specific and resets on chart reload. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Volume-Based Indicator — Data Granularity & Table Guide 1) Critical warning about data granularity (read first) Important: This indicator is built entirely on volume-derived calculations (volume, volume delta, and related flow metrics). Because of that, its precision is only as good as the granularity and history of the data you feed it. The most granular view is a tick-based interval (e.g., 1T = one trade/tick). If tick-based intervals are not available for your symbol or your plan, the closest time-based approximation is a 1-second chart (1S). If you enable any "high-precision / intrabar" options (anything that relies on the smallest updates), make sure you understand which TradingView plan you are using, because intrabar historical depth (how many bars you can load) varies by plan. More history generally means more stable baselines for volume statistics, regime detection, and long lookback features. Plan-related notes (TradingView) TradingView limits how many intrabar historical bars can be loaded, depending on your plan. The exact limits are defined by TradingView and can change over time, but as of the current documentation, the intrabar limits are: • Basic: 5,000 bars • Essential: 10,000 bars • Plus: 10,000 bars • Premium: 20,000 bars • Expert: 25,000 bars • Ultimate: 40,000 bars Tick charts / tick-based intervals are currently positioned as a feature of professional-tier plans (e.g., Expert/Elite/Ultimate). Availability may also vary by symbol and data feed.
אינדיקטור Pine Script®
מאת ‎ata_sabanci‎
10
Volume Flow and Delta Analysis [MarkitTick]💡This comprehensive technical indicator is designed for traders who require a granular view of market participation that goes beyond standard volume bars. By leveraging the advanced "Intrabar Analysis" capabilities of Pine Script, this tool deconstructs every single price candle on your chart into its constituent lower-timeframe components. It effectively "X-rays" the market to determine whether the volume inside a bar was primarily driven by aggressive buying or aggressive selling, providing a definitive read on market sentiment and institutional control. ● Originality and Utility Most standard volume indicators display a simple aggregate total—a single block of volume that fails to distinguish between buying pressure and selling pressure. A high-volume candle could represent a strong breakout, or it could represent a "selling tail" where buyers were absorbed. This script solves that ambiguity. It is not a standard oscillator; it is a quantitative flow analyzer. It reconstructs the "Delta" (the net difference between buying and selling volume) by querying lower-timeframe data (e.g., analyzing 1-minute data inside a 60-minute bar). This allows traders to spot "Hidden Accumulation" (where price is flat but Delta is rising) or "Exhaustion" (where price rises but Delta falls), offering a significant edge in identifying reversals and trend continuations. ● Methodology The script operates through a sophisticated three-stage quantitative process: • Intrabar Data Acquisition The script uses the security_lower_tf function to fetch granular price and volume data from a lower timeframe (automatically detected or user-defined). This allows the script to see what happened "inside" the current chart's bar. • Directional Flow Distribution For every lower-timeframe interval, the script assigns volume to either "Bullish Flow" or "Bearish Flow." If the close is higher than the open on the lower timeframe, the volume is credited to buyers. If the close is lower, it is credited to sellers. This logic is far more accurate than simple "Up/Down" tick data, as it respects price action. • Statistical Volatility Normalization To filter out noise, the script calculates a dynamic baseline using an Exponential Moving Average (EMA) of the absolute Delta values. It then compares the current bar's Delta against this baseline. This generates an "Intensity Score" (measured in Sigma or Standard Deviations). This ensures that a "High Volume" signal is relevant to the current market volatility, rather than relying on fixed, arbitrary thresholds. ● How to Use This tool is designed to be a complete decision-support system. Here is how to interpret its various components: • The Volume Histogram The background histogram displays Total Volume, while the foreground bars show the split between Buying (Teal) and Selling (Red) flow. Use this to gauge the "quality" of a move. A price rally accompanied by high Teal volume is healthy; a rally on low volume or high Red volume is suspect. • The Delta Histogram This plots the net difference. Strong Positive (Green) Delta: Indicates aggressive market buy orders are hitting the ask. Strong Negative (Red) Delta: Indicates aggressive market sell orders are hitting the bid. Divergence: If Price makes a New High but the Delta Histogram makes a Lower High, this is a classic signal of exhaustion and potential reversal. • The Heads-Up Display (HUD) A dashboard table pinned to the chart provides real-time metrics: Session Delta: The cumulative buy/sell pressure for the current trading day. Flow Regime: Clearly states if the market is in "ACCUMULATION" or "DISTRIBUTION." Intensity: Shows how statistically significant the current volume is (e.g., "2.5x" means the volume is 2.5 times the standard deviation, indicating an anomaly). • Visual Signals The script plots triangle markers on top of the chart when the Delta Intensity exceeds the user-defined threshold. Up Triangle (Green): Signals strong institutional buying pressure (Delta > Threshold). Down Triangle (Red): Signals strong institutional selling pressure (Delta < Threshold). ● Inputs and Configuration Lower Timeframe: By default, the script auto-selects the best resolution (e.g., 1-minute data for hourly charts). Users can override this to fine-tune the granularity. Volume MA Length: Defines the lookback period for the volume moving average. Delta Volatility Threshold (Sigma): This is the sensitivity filter for signals. A higher value (e.g., 2.0) results in fewer but more significant signals. A lower value (e.g., 1.0) provides more frequent alerts. Visual Logic: Users can toggle the Dashboard, Delta Histogram, and Moving Averages on or off to suit their charting aesthetic. ● Disclaimer All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion.
אינדיקטור Pine Script®
מאת ‎MarkitTick‎
CUSUM Volatility BreakoutCUSUM Volatility Breakout A statistical trend-detection and volatility-breakout indicator that identifies subtle momentum shifts earlier than traditional tools. OVERVIEW The CUSUM control chart is a statistical tool designed to detect small, gradual shifts from a target value. In trading, it helps identify the early stages of a trend, giving traders a heads-up before momentum becomes obvious on standard price charts. By spotting these subtle movements, the CUSUM Volatility Breakout indicator (CUSUM VB) can highlight potential breakout opportunities earlier than traditional indicators. In other words, a statistical trend detection & breakout indicator. Copyright © 2025 CoinOperator HOW IT WORKS CUSUM VB uses a combination of differenced price series, volume normalization, and dynamic control limits: CUSUM Principle: Tracks cumulative deviations of price from a zero reference. Signals occur when cumulative deviations exceed a control limit shown on the chart and clears any enabled filters. Adaptive Volatility: H adjusts automatically based on short- vs long-term ATR ratios, allowing faster detection during volatile periods and reduced false signals in calm markets. Volume Weighting (optional): Amplifies price CUSUM values during high-volume bars to prioritize market participation strength. ATR Confirmation (optional): Ensures breakouts are accompanied by expanded volatility. Bollinger Band Squeeze Integration (optional): Confirms trend breakouts by detecting volatility contraction and release shown on the chart as triangles. Signals: Arrows on the price chart mark the bars where trades are actually filled, based on conditions detected on the prior signal bar. Long Entry: Confirmed positive CUSUM breach (price & volume) with BB breakout (signal bar). Short Entry: Confirmed negative CUSUM breach (price & volume) with BB breakout (signal bar). Exit Signals: Triggered automatically by opposite-side signals. Alerts, when created, fire on the bars where fills occur. CHART COMPONENTS CUSUM Upper Price (CU Price) and CUSUM Lower Price (CL Price) are green/red circles for confirmed signals. ● Rapid upward accumulation of CU Price indicates a developing bullish trend. ● Rapid downward accumulation of CL Price indicates a developing bearish trend. Decision/Control limits (UCL/LCL, red) Zero line (reference for the differenced price series baseline) Optional BB triangles and volume CUSUM SETUP AND CONFIGURATION Differenced Price Series Differenced Price Length and Lag Increase differencing lag or window length → Increases variance of residuals → Wider control limits (UCL/LCL) → Slower to trigger. Decrease lag or window → Tighter limits, more responsive to short-term regime shifts. CUSUM Parameters Volume-Weighted CUSUM NOTE : Uses price length if 'Confirm Price with Volume' is disabled, otherwise will use volume length. Amplifies CUSUM price responses during high-volume bars and reduces them during low-volume bars. This links trend detection to market participation strength. Volume-Weighted CUSUM doesn’t replace price confirmation with volume; it modulates it by volume intensity, amplifying price signals when participation is strong and suppressing them when weak. Recommended when analyzing assets with consistent volume patterns (e.g., stocks, major futures). Disable for low-liquidity or irregular-volume instruments (e.g., crypto pairs, small-cap stocks). ATR Confirmation Enable this feature to confirm CUSUM signals only when price deviations are accompanied by higher-than-normal volatility. The indicator compares current ATR to a smoothed ATR to detect volatility expansion. This helps distinguish true breakouts from low-volatility noise and reduces false signals during quiet periods. Adjust the ATR lookback length, smoothing length, and expansion factor to control sensitivity. Rule of thumb: ATR Length ≈ 0.5 × differenced price length to 1.5 × differenced price length gives balanced sensitivity. ATR Smoothing 5–10 bars. ATR Expansion 5% to 50%. CUSUM Input Mode Select how CUSUM processes differenced price and log-normalized volume — either directly (Txfrm Data) or as deviations from a short-term EMA baseline (Residuals): Txfrm Data = transformed input: differenced price & log-normalized volume as input for CUSUM (larger swings, more frequent control limit breaches) Residuals = deviation from short-term EMA baseline (smaller swings, fewer control limit breaches, but higher signal quality). Residual EMA Length: Defines how quickly the residual baseline adapts to recent differenced price moves. Shorter = more reactive; longer = smoother baseline. Keep EMA length moderate; over-smoothing can distort timing. Control Sensitivity (K) Increase K → Less sensitive → CUSUM accumulates slower → Fewer signals, captures only major trends. Decrease K → More sensitive → CUSUM accumulates faster → More signals, captures minor swings too. Reset Mode : Method of resetting CUSUM values. Immediate Reset: Reset both immediately after any signal breach. Traditional SPC. Opposite-Side Reset: Reset only the opposite side when a valid signal fires. Best for ongoing trend tracking. Decay Reset: Gradually reduce CUSUM values toward zero with a decay factor each bar. Maintains trend memory but allows slow “forgetting.” Threshold Reset: Reset only if CUSUM returns below a small threshold (10 % of H). Filters noise without full wipe. No Reset / Continuous: Never reset; instead track running totals. Long-term cumulative bias measurement. Conflict Handling : Method of handling conflicting signals. Ignore Both: Discards both when overlap occurs. Prioritize Latest: Chooses the direction implied by the most recent close. Prioritize Stronger: Compares absolute magnitudes of CU Price vs CL Price. Average Resolve: Looks at the difference; small overlap → ignore, otherwise pick direction by sign. Sequential Confirm: Requires N consecutive same-direction signals before confirmation. Volume Parameters (Optional) Amplification Factor Adjusts volume sensitivity and effectively rescales the log series of volume to a comparable magnitude with price changes. Since price and volume are normalized in a compatible way, the amplification factor is used instead of independent K and H values for volume. Bollinger Bands (Optional) Lookback Synchronization BB Lookback (for CUSUM): Number of bars that define a window for the BB signal to look back for the CUSUM signal. CUSUM Lookback (for BB): Number of bars that define a window for the CUSUM signal to look back for the BB signal. Both can be enabled for stricter alignment. Relationship Between K, H, ARL₀ and ARL₁ H (max) is usually the only H you need to adjust. With everything else being constant, increasing either K or H (max) generally increases both ARL₀ and ARL₁ : higher thresholds reduce false alarms but slow detection, and lower thresholds do the opposite. Increase Min Target ARL ratio → ARL₀ increases (safer, fewer false alarms) ARL₁ decreases or stays small (faster detection) Control limits slightly expand to achieve separation Strategy becomes more selective and stable Decrease Min Target ARL ratio → ARL₀ decreases (more false alarms tolerated) ARL₁ increases (slower detection tolerated) Control limits tighten Strategy becomes more sensitive but lower quality The ARL Ratio of ARL₀ / ARL₁ is typically between 3 and 8. This implies you want your ARL₀ (false-alarm interval) ≈ 'Min Target ARL ratio' × differenced price length window. Example: "Min Target ARL ratio = 4.0" ⇒ implies you want your ARL₀ (false-alarm interval) ≈ 4 × differenced price length. Assume price length = 50 (typical differencing window). ARL ratio = 4.0 → target ARL = 4 × 50 = 200 bars. ● On a 6-hour chart (≈4 bars/day) → ~50 days between expected false alarms (on average). ● On a daily chart → ~200 trading days between false alarms (very conservative). ARL ratio = 8.0 → target ARL = 400 bars → twice as infrequent signals vs ratio=4. ARL ratio = 2.0 → target ARL = 100 bars → about half the inter-signal interval. Another way to think about it: probability of a false alarm on any bar ≈ 1 / target ARL. If you want ~1% of bars producing alarms, target ARL ≈ 100. QUICK START Start with the defaults. Set price series → length/order/lag Configure CUSUM thresholds → K, H min/max 1. Adjust the price differencing lag/window. 2. Verify that it captures real price inflection points without overreacting to bar noise. Enable optional filters → Volume, ATR, BB The optional Bollinger Bands squeeze usually works best if used with CUSUM Input Mode = Txfrm Data. Monitor CUSUM chart → CU Price, CL Price, thresholds, zero line Act on signals → data window / chart triangles Adjust sensitivity → H (max), K, lengths Monitor ARL ratio and CUSUM behavior for fine-tuning Note : When you’ve finalized the length, lag, and order of the Price Difference, as well as the Ln(Vol) Series of “Confirm Price with Volume” if enabled, then pass both through the Augmented Dickey–Fuller (ADF) mean reversion test to ensure they are stationary, i.e., mean reverting. You can find a ready-made indicator for such use at . Many thanks to tbtkg for this indicator. SUMMARY CUSUM VB combines CUSUM statistical control, volatility-adaptive thresholds, volume weighting, and optional BB breakout confirmation to provide robust, actionable signals across a wide variety of trading instruments. Why traders use it : Fast detection of shifts, reduced false alarms, versatile across markets. Ideal for : Futures (continuous contracts), forex, crypto, stocks, ETFs, and commodity/index CFDs, especially where: ● Price and volume data exist ● Breakouts and volatility shifts are tradable ● There’s enough liquidity for meaningful signals Visualization : Upper/lower CUSUM circles, UCL/LCL thresholds, optional highlight traded background, optional volume and BB overlays on the chart, optional entry/exit labels on the price chart, as well as entry/exit signals in the data window. Alerts : For entry/exit labels when trades are actually filled. CUSUM VB is designed for traders who want statistically grounded trend detection with configurable sensitivity, visual clarity, and multi-market versatility. DISCLAIMER This software and documentation are provided “as is” without any warranties of any kind, express or implied. CoinOperator assumes no responsibility or liability for any errors, omissions, or losses arising from the use or interpretation of this software or its outputs. Trading and investing carry inherent risks, and users are solely responsible for their own decisions and results.
אינדיקטור Pine Script®
מאת ‎CoinOperator‎
4
Session Volume Analyzer [JOAT] Session Volume Analyzer — Global Trading Session and Volume Intelligence System This indicator addresses the analytical challenge of understanding market participation patterns across global trading sessions. It combines precise session detection with comprehensive volume analysis to provide insights into when and how different market participants are active. The tool recognizes that different trading sessions exhibit distinct characteristics in terms of participation, volatility, and volume patterns. Why This Combination Provides Unique Analytical Value Traditional session indicators typically only show time boundaries, while volume indicators show raw volume data without session context. This creates analytical gaps: 1. **Session Context Missing**: Volume spikes without session context provide incomplete information 2. **Participation Patterns Hidden**: Different sessions have different participant types (retail, institutional, algorithmic) 3. **Comparative Analysis Lacking**: No easy way to compare volume patterns across sessions 4. **Timing Intelligence Absent**: Understanding WHEN volume occurs is as important as HOW MUCH volume occurs This indicator's originality lies in creating an integrated session-volume analysis system that: **Provides Session-Aware Volume Analysis**: Volume data is contextualized within specific trading sessions **Enables Cross-Session Comparison**: Compare volume patterns between Asian, London, and New York sessions **Delivers Participation Intelligence**: Understand which sessions are showing above-normal participation **Offers Real-Time Session Tracking**: Know exactly which session is active and how current volume compares Technical Innovation and Originality While session detection and volume analysis exist separately, the innovation lies in: 1. **Integrated Session-Volume Architecture**: Simultaneous tracking of session boundaries and volume statistics creates comprehensive market participation analysis 2. **Multi-Session Volume Comparison System**: Real-time calculation and comparison of volume statistics across different global sessions 3. **Adaptive Volume Threshold Detection**: Automatic identification of above-average volume periods within session context 4. **Comprehensive Visual Integration**: Session backgrounds, volume highlights, and statistical dashboards provide complete market participation picture How Session Detection and Volume Analysis Work Together The integration creates a sophisticated market participation analysis system: **Session Detection Logic**: Uses Pine Script's time functions to identify active sessions // Session detection based on exchange time bool inAsian = not na(time(timeframe.period, asianSession)) bool inLondon = not na(time(timeframe.period, londonSession)) bool inNY = not na(time(timeframe.period, nySession)) // Session transition detection bool asianStart = inAsian and not inAsian bool londonStart = inLondon and not inLondon bool nyStart = inNY and not inNY **Volume Analysis Integration**: Volume statistics are calculated within session context // Session-specific volume accumulation if asianStart asianVol := 0.0 asianBars := 0 if inAsian asianVol += volume asianBars += 1 // Real-time session volume analysis float asianAvgVol = asianBars > 0 ? asianVol / asianBars : 0 **Relative Volume Assessment**: Current volume compared to session-specific averages float volMA = ta.sma(volume, volLength) float volRatio = volMA > 0 ? volume / volMA : 1 // Volume classification within session context bool isHighVol = volRatio >= 1.5 and volRatio < 2.5 bool isVeryHighVol = volRatio >= 2.5 This creates a system where volume analysis is always contextualized within the appropriate trading session, providing more meaningful insights than raw volume data alone. Comprehensive Session Analysis Framework **Default Session Definitions** (customizable based on broker timezone): - **Asian Session**: 1800-0300 (exchange time) - Represents Asian market participation including Tokyo, Hong Kong, Singapore - **London Session**: 0300-1200 (exchange time) - Represents European market participation - **New York Session**: 0800-1700 (exchange time) - Represents North American market participation **Session Overlap Analysis**: The system recognizes and highlights overlap periods: - **London/New York Overlap**: 0800-1200 - Typically the highest volume period - **Asian/London Overlap**: 0300-0300 (brief) - Transition period - **New York/Asian Overlap**: 1700-1800 (brief) - End of NY, start of Asian **Volume Intelligence Features**: 1. **Session-Specific Volume Accumulation**: Tracks total volume within each session 2. **Cross-Session Volume Comparison**: Compare current session volume to other sessions 3. **Relative Volume Detection**: Identify when current volume exceeds historical averages 4. **Participation Pattern Analysis**: Understand which sessions show consistent high/low participation Advanced Volume Analysis Methods **Relative Volume Calculation**: float volMA = ta.sma(volume, volLength) // Volume moving average float volRatio = volMA > 0 ? volume / volMA : 1 // Current vs average ratio // Multi-tier volume classification bool isNormalVol = volRatio < 1.5 bool isHighVol = volRatio >= 1.5 and volRatio < 2.5 bool isVeryHighVol = volRatio >= 2.5 bool isExtremeVol = volRatio >= 4.0 **Session Volume Tracking**: // Cumulative session volume with bar counting if londonStart londonVol := 0.0 londonBars := 0 if inLondon londonVol += volume londonBars += 1 // Average volume per bar calculation float londonAvgVol = londonBars > 0 ? londonVol / londonBars : 0 **Cross-Session Volume Comparison**: The system maintains running totals for each session, enabling real-time comparison of participation levels across different global markets. What the Display Shows Session Backgrounds — Colored backgrounds indicating which session is active - Pink: Asian session - Blue: London session - Green: New York session Session Open Lines — Horizontal lines at each session's opening price Session Markers — Labels (AS, LN, NY) when sessions begin Volume Highlights — Bar coloring when volume exceeds thresholds - Orange: High volume (1.5x+ average) - Red: Very high volume (2.5x+ average) Dashboard — Current session, cumulative volume, and averages Color Scheme Asian — #E91E63 (pink) London — #2196F3 (blue) New York — #4CAF50 (green) High Volume — #FF9800 (orange) Very High Volume — #F44336 (red) Inputs Session Times: Asian Session window (default: 1800-0300) London Session window (default: 0300-1200) New York Session window (default: 0800-1700) Volume Settings: Volume MA Length (default: 20) High Volume threshold (default: 1.5x) Very High Volume threshold (default: 2.5x) Visual Settings: Session colors (customizable) Show/hide backgrounds, lines, markers Background transparency How to Read the Display Background color shows which session is currently active Session open lines show where each session started Orange/red bars indicate above-average volume Dashboard shows cumulative volume for each session today Alerts Session opened (Asian, London, New York) High volume bar detected Very high volume bar detected Important Limitations and Realistic Expectations Session times are approximate and depend on your broker's server timezone—manual adjustment may be required for accuracy Volume data quality varies significantly by broker, instrument, and market type Cryptocurrency and some forex markets trade continuously, making traditional session boundaries less meaningful High volume indicates participation level only—it does not predict price direction or market outcomes Session participation patterns can change over time due to market structure evolution, holidays, and economic conditions This tool displays historical and current market participation data—it cannot predict future volume or price movements Volume spikes can occur for numerous reasons unrelated to directional price movement (news, algorithmic trading, etc.) Different instruments exhibit different session sensitivity and volume patterns Market holidays and special events can significantly alter normal session patterns Appropriate Use Cases This indicator is designed for: - Market participation pattern analysis - Session-based trading schedule planning - Volume context and comparison across sessions - Educational study of global market structure - Supplementary analysis for session-based strategies This indicator is NOT designed for: - Standalone trading signal generation - Volume-based price direction prediction - Automated trading system triggers - Guaranteed session pattern repetition - Replacement of fundamental or sentiment analysis Understanding Session Analysis Limitations Session analysis provides valuable context but has inherent limitations: - Session patterns can change due to economic conditions, holidays, and market structure evolution - Volume patterns may not repeat consistently across different market conditions - Global events can override normal session characteristics - Different asset classes respond differently to session boundaries - Technology and algorithmic trading continue to blur traditional session distinctions — Made with passion by officialjackofalltrades
אינדיקטור Pine Script®
מאת ‎officialjackofalltrades‎
BTC - Institutional Cost Corridor (Overlay)BTC - Institutional Cost Corridor | RM Strategic Context The approval of Spot Bitcoin ETFs on January 11, 2024, signaled the beginning of the "Institutional Era." Since then, price discovery has shifted from being purely retail-driven to being heavily influenced by massive, off-chain equity flows. The Institutional Cost Corridor is an approach for a quantitative tool designed to solve the problem of "Institutional Blindness" by mapping the aggregate cost basis of Wall Street's entry. It allows for the identification of structural "gravity zones" where institutional capital is most likely to move from a state of profit into a state of defense. The Methodology: Data Selection & Weighting To ensure the output is statistically significant, the data engine focuses exclusively on the "Big 3" liquidity providers: BlackRock (IBIT), Fidelity (FBTC), and Bitwise (BITB). These three funds represent over 80% of total Spot ETF liquidity. A weighted ratio is applied (prioritizing BlackRock) to reflect the reality that a dollar flowing into IBIT has a significantly higher impact on market structure than a dollar in smaller, fragmented funds. This ensures the indicator follows the actual mass of institutional capital. Recalculating the Shadow: Nominal Price & AUM A common point of confusion is that Bitcoin ETFs have a completely different nominal price than Bitcoin itself (e.g., an IBIT share may trade at $50 while BTC is at $100,000). To solve this, the script does not look at the dollar price of the shares. Instead, it uses Assets Under Management (AUM) and Relative Performance Mapping . By calculating the percentage growth of the funds' underlying value since inception and projecting that growth onto the Bitcoin price axis, the script "re-scales" the institutional entry levels. This allows us to see exactly where Wall Street is "underwater" on a standard Bitcoin chart. The Mathematical Foundations: Genesis vs. Anchored The indicator utilizes two distinct mathematical approaches to triangulate the "Truth" of institutional positioning. These are not arbitrary assumptions, but forward-mapped models verified against professional financial benchmarks. 1. Conservative Floor (Genesis Mode) • The Logic: This model uses a Cumulative Inflow VWAP . It treats every dollar that has entered the ETFs since Day 1 as part of a single, massive ledger. • Scientific Justification: This approach maps to the "Fortress Zone" of early, high-conviction capital. Historical AUM performance data suggests that the largest influx of structural capital occurred during the launch phase of 2024. This logic identifies the Ultimate Floor —the level where the entire ETF cohort would flip to a net loss. In late 2025 research (e.g., Glassnode "True Market Mean"), this model consistently aligns with the deepest structural support of the bull cycle. 2. Wall Street Entry (Anchored Mode) • The Logic: This model utilize a Relative Performance Anchor . It synchronizes the Bitcoin price on Launch Day with the growth performance of the ETF fund shares. • Scientific Justification: This approach identifies the "Active Participant Basis." It reflects the entry price for the capital that fueled the most recent expansion cycles. It maps directly to the "Active Investors' Realized Price" cited by institutional research firms, identifying the immediate psychological "pain threshold" for the current market majority. 3. Institutional Mean (Hybrid Mode) • The Logic: A 50/50 mathematical blend of the Conservative Floor and the Wall Street Entry . • Justification: This is the "Equilibrium Zone." It serves as a neutral baseline by balancing early-stage "Genesis" conviction with late-cycle volatility. It represents the median cost basis of all current institutional holders. 4. The Shadow Corridor (Full Range) • The Logic: Visualizes the entire spread between the Conservative Floor and the Wall Street Entry. • Justification: The "Structural Support Cloud." Instead of a single price, it defines a regime . As long as Bitcoin remains above this cloud, the institutional trend remains in an "Expansion Phase." A re-entry into this corridor suggests a transition from a trending market into a value-accumulation phase. Tactical Playbook: Scenario Logic The Shadow Corridor (Full Range) visualizes the area between these two models, creating an "Institutional War Zone." • Active Support Test: When price tests the Wall Street Entry (upper boundary), it indicates the active institutional majority is at breakeven. Expect significant defensive buying (bids) as funds protect their yearly performance reports. • Deep Value Regime: Trading inside the Corridor is defined as a "Value Regime." This is where institutional accumulation historically absorbs retail capitulation. • The Premium Trap: When the distance between price and the Corridor exceeds 35-40%, the market is "speculatively overextended," signaling a high probability of mean-reversion. • Macro Breakdown: A Weekly (1W) candle closing below the Conservative Floor (lower boundary) signals a structural trend shift, indicating the majority of ETF-era capital is officially in a drawdown. Operational Recommendation Best viewed on the Daily (1D) timeframe for macro structural analysis, providing the most reliable signal for institutional defense zones. Tags: bitcoin, btc, etf, blackrock, ibit, institutional, cost-basis, vwap, macro, cycle, realized-price, Rob Maths
אינדיקטור Pine Script®
מאת ‎Rob_Maths‎
1
Price Contraction / Expansion1. Introduction The Price Contraction / Expansion indicator highlights areas of market compression and volatility release by analyzing candle body size and volume behavior. It provides a fast, color-coded visualization to identify potential breakout zones, accumulation phases, or exhaustion movements. This tool helps traders recognize when price action is tightening before a volatility expansion — a common precursor to strong directional moves. 2. Key Features Dynamic body analysis: Compares each candle’s body size with a moving average to detect contraction (small bodies) and expansion (large bodies). Volume confirmation: Measures whether volume is unusually high or low compared to its recent average, helping filter false breaks. Color-coded system for clarity: Yellow: Contraction with high volume (potential accumulation or strong activity). Blue: Contraction with normal volume or expansion with low volume (neutral/reduced participation). Green: Expansion in bullish candle (buyer dominance). Red: Expansion in bearish candle (seller dominance). Customizable parameters: Adjust body and volume averaging periods and thresholds to fit different market conditions or timeframes. 3. How to Use Identify contraction zones: Look for blue or yellow bars to locate areas of price compression — these often precede breakouts or large movements. Wait for expansion confirmation: A shift to green or red bars with increasing volume indicates that volatility is expanding and momentum is building. Combine with context: Use this indicator alongside trend tools, liquidity zones, or moving averages to confirm directional bias and filter noise. Adapt thresholds: In highly volatile markets, increase the “Threshold multiplier” to reduce false contraction signals. This indicator is most effective for traders who focus on volatility behavior, market structure, and timing potential breakout opportunities.
אינדיקטור Pine Script®
מאת ‎destrobr0685‎
Effort-Result Divergence [Interakktive]The Effort-Result Divergence (ERD) measures whether volume effort is producing proportional price result. It quantifies the classic Wyckoff principle: when price moves easily, momentum is real; when price struggles despite heavy volume, absorption is occurring. Think of ERD as "energy efficiency" for price movement — green means price is gliding, red means price is grinding. █ WHAT IT DOES • Measures volume EFFORT relative to average volume • Measures price RESULT relative to ATR-normalized movement • Computes ERD = Result minus Effort (each scaled 0-100) • Flags statistical divergences via Z-score analysis • Absorption events: high effort, low result (negative ERD) • Vacuum events: low effort, high result (positive ERD) █ WHAT IT DOES NOT DO • NO buy/sell signals • NO entry/exit recommendations • NO alerts (v1 is educational only) • NO performance claims or guarantees This is a context tool for understanding market participation quality. █ HOW IT WORKS The ERD analyzes two dimensions of market activity and compares them. EFFORT (Volume Intensity) Compares current volume to a moving average baseline: Effort Ratio = Volume ÷ SMA(Volume, Length) Effort Score = clamp(100 × Effort Ratio ÷ Effort Cap) High effort means above-average volume participation. Low effort means below-average volume participation. RESULT (Price Efficiency) Measures how much price moved relative to expected volatility: Result Ratio = |Close − Previous Close| ÷ ATR Result Score = clamp(100 × Result Ratio ÷ Result Cap) High result means price moved significantly for the volatility regime. Low result means price barely moved despite market activity. ERD SCORE ERD = Result − Effort • Positive ERD: Result exceeds effort → price moved easily (vacuum/thin liquidity) • Negative ERD: Effort exceeds result → price struggled (absorption/accumulation) • Near zero: Balanced effort-to-result relationship STATISTICAL DIVERGENCE DETECTION Z-score analysis identifies statistically significant extremes: Z = (ERD − Mean) ÷ StdDev • Absorption Event: Z ≤ −threshold (extreme negative ERD) • Vacuum Event: Z ≥ +threshold (extreme positive ERD) █ INTERPRETATION GREEN BARS (Positive ERD) Price moved with relatively little volume effort. This suggests: • Thin liquidity / low resistance • Strong directional interest • Momentum is "real" — not forced RED BARS (Negative ERD) Heavy volume was used but price barely moved. This suggests: • Absorption / accumulation occurring • Large players opposing the move • Inefficiency — someone is working hard for little result THE KEY INSIGHT When you see: • Down moves = high effort (red spikes) • Up moves = low effort (green bars) This means: It's easier for price to go up than down. That is asymmetric strength — classic bullish pressure. The reverse (red on up moves, green on down moves) signals bearish pressure. PRACTICAL RULES Without any other indicators: • Avoid shorting when ERD is mostly green and red spikes appear only on down candles • Be cautious buying when ERD turns red on up candles (signals absorption of buying pressure) • Vacuum events (extreme green) often precede continuation or pause — not violent reversal • Absorption events (extreme red) often precede reversals or range formation █ VOLUME DATA NOTE This indicator uses the volume variable which represents: • Exchange volume on stocks and futures • Tick volume on Forex and CFD instruments Tick volume is a proxy for activity, not actual exchange volume. The indicator remains useful on Forex as relative volume comparisons are still meaningful, but interpretation should account for this limitation. █ INPUTS Core Settings • Volume Average Length: Baseline period for effort calculation (default: 20) • ATR Length: Volatility normalization period (default: 14) • Effort Cap: Volume ratio that maps to 100% effort (default: 3.0) • Result Cap: ATR multiple that maps to 100% result (default: 1.0) Divergence Detection • Z-Score Lookback: Statistical analysis window (default: 100) • Z-Score Threshold: Standard deviations for event flags (default: 2.0) Visual Settings • Show ERD Histogram: Toggle main display • Show Zero Line: Toggle reference line • Show Divergence Markers: Toggle event circles • Show Effort/Result Lines: Display component breakdown █ ORIGINALITY While Wyckoff's effort-versus-result principle is well-established, existing implementations are typically: • Purely visual with no quantification • Pattern-based requiring subjective interpretation • Not statistically normalized for comparison across instruments ERD is original because it: 1. Normalizes both effort and result to 0-100 scales for direct comparison 2. Uses ATR for result normalization (adapts to volatility regime) 3. Applies statistical Z-score for objective divergence detection 4. Provides quantified output suitable for systematic analysis █ DATA WINDOW EXPORTS When enabled, the following values are exported: • Effort (0-100) • Result (0-100) • ERD Score • Z-Score • Absorption Event (1/0) • Vacuum Event (1/0) █ SUITABLE MARKETS Works on: Stocks, Futures, Forex, Crypto Best on: Instruments with reliable volume data (stocks, futures, crypto) Timeframes: All timeframes — interpretation adapts accordingly █ RELATED • Market Efficiency Ratio — measures price path efficiency • Wyckoff Volume Spread Analysis — conceptual foundation █ DISCLAIMER This indicator is for educational purposes only. It does not constitute financial advice. Past performance does not guarantee future results. Always conduct your own analysis before making trading decisions.
אינדיקטור Pine Script®
מאת ‎Interakktive‎
1
Amihud Illiquidity Ratio [MarkitTick]💡This indicator implements the Amihud Illiquidity Ratio, a financial metric designed to measure the price impact of trading volume. It assesses the relationship between absolute price returns and the volume required to generate that return, providing traders with insight into the "stress" levels of the market liquidity. Concept and Originality Standard volume indicators often look at volume in isolation. This script differentiates itself by contextualizing volume against price movement. It answers the question: "How much did the price move per unit of volume?" Furthermore, unlike static indicators, this implementation utilizes dynamic percentile zones (Linear Interpolation) to adapt to the changing volatility profile of the specific asset you are viewing. Methodology The calculation proceeds in three distinct steps: 1. Daily Return: The script calculates the absolute percentage change of the closing price relative to the previous close. 2. Raw Ratio: The absolute return is divided by the volume. I have introduced a standard scaling factor (1,000,000) to the calculation. This resolves the issue of the values being astronomically small (displayed as roughly 0) without altering the fundamental logic of the Amihud ratio (Absolute Return / Volume). - High Ratio: Indicates that price is moving significantly on low volume (Illiquid/Thin Order Book). - Low Ratio: Indicates that price requires massive volume to move (Liquid/Deep Order Book). 3. Dynamic Regimes: The script calculates the 75th and 25th percentiles of the ratio over a lookback period. This creates adaptive bands that define "High Stress" and "Liquid" zones relative to recent history. How to Use Traders can use this tool to identify market fragility: - High Stress Zone (Red Background): When the indicator crosses above the 75th percentile, the market is in a High Illiquidity Regime. Price is slipping easily. This is often observed during panic selling or volatile tops where the order book is thin. - Liquid Zone (Green Background): When the indicator drops below the 25th percentile, the market is in a Liquid Regime. The market is absorbing volume well, which is often characteristic of stable trends or accumulation phases. - Dashboard: A visual table on the chart displays the current Amihud Ratio and the active Market Regime (High Stress, Normal, or Liquid). Inputs - Calculation Period: The lookback length for the average illiquidity (Default: 20). - Smoothing Period: The length of the additional moving average to smooth out noise (Default: 5). - Show Quant Dashboard: Toggles the visibility of the on-screen information table. ● How to read this chart • Spike in Illiquidity (Red Zones) Price is moving on "thin air." Expect high volatility or potential reversals. • Low Illiquidity (Green/Stable Zones) The market is deep and liquid. Trends here are more sustainable and reliable. • Divergence Watch for price making new highs while liquidity is drying up—a classic sign of an exhausted trend. Example: ● Chart Overview The chart displays the Amihud Illiquidity indicator applied to a Gold (XAUUSD) 4-hour timeframe. Top Pane: Price action with manual text annotations highlighting market reversals relative to liquidity zones. Bottom Pane: The specific technical indicator defined in the logic. It features a Blue Line (Raw Illiquidity), a Red Line (Signal/Smoothed), and dynamic background coloring (Red and Green vertical strips). ● Deep Visual Analysis • High Stress Regime (Red Zones) Visual Event: In the bottom pane, the background periodically shifts to a translucent red. Technical Logic: This event is triggered when the amihudAvg (the smoothed illiquidity ratio) exceeds the 75th percentile ( hZone ) of the lookback period. Forensic Interpretation: The logic calculates the absolute price change relative to volume. A spike into the red zone indicates that price is moving significantly on relatively lower volume (high price impact). Visually, the chart shows these red zones aligning with local price peaks (volatility expansion), leading to the bearish reversal marked by the red box in the top pane. • Liquid Regime (Green Zones) Visual Event: The background shifts to a translucent green in the bottom pane. Technical Logic: This triggers when the amihudAvg falls below the 25th percentile ( lZone ). Forensic Interpretation: This state represents a period where large volumes are absorbed with minimal price impact (efficiency). On the chart, this green zone corresponds to the consolidation trough (green box, top pane), validating the annotated accumulation phase before the bullish breakout. • Indicator Lines Blue Line: This is the illiquidityRaw value. It represents the raw daily return divided by volume. Red Line: This is the smoothedVal , a Simple Moving Average (SMA) of the raw data, used to filter out noise and define the trend of liquidity stress. ● Anomalies & Critical Data • The Reversal Pivot The transition from the "High Stress" (Red) background to the "Liquid" (Green) background serves as a visual proxy for market regime change. The chart shows that as the Red zones dissipate (volatility contraction), the market enters a Green zone (efficient liquidity), which acted as the precursor to the sustained upward trend on the right side of the chart. ● About Yakov Amihud Yakov Amihud is a leading researcher in market liquidity and asset pricing. • Brief Background Professor of Finance, affiliated with New York University (NYU). Specializes in market microstructure, liquidity, and quantitative finance. His work has had a major impact on both academic research and practical investment models. ● The Amihud (2002) Paper In 2002, he published his influential paper: “Illiquidity and Stock Returns: Cross-Section and Time-Series Effects” . • Key Contributions Introduced the Amihud Illiquidity Measure, a simple yet powerful proxy for market liquidity. Demonstrated that less liquid stocks tend to earn higher expected returns as compensation for liquidity risk. The measure became one of the most widely used liquidity metrics in finance research. ● Why It Matters in Practice Used in quantitative trading models. Applied in portfolio construction and risk management. Helpful as a liquidity filter to avoid assets with excessive price impact. In short: Yakov Amihud established a practical and robust link between liquidity and returns, making his 2002 work a cornerstone in modern financial economics. Disclaimer: All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion.
אינדיקטור Pine Script®
מאת ‎MarkitTick‎
DZDZ – Pivot Demand Zones + Trend Filter + Breadth Override + SL is a structured accumulation indicator built to identify high-probability demand areas after valid pullbacks. The script creates **Demand Zones (DZ)** by pairing **pivot troughs (local lows)** with later **pivot peaks (local highs)**, requiring a minimum **ATR (Average True Range)** gap to confirm real price displacement. Zones are drawn only when market structure confirms strength through a **trend filter** (a required number of higher highs over a recent window) or a **breadth override**, which activates after unusually large expansion candles measured as a percentage move from the prior close. In addition to pivots, the script detects **coiling price action**—tight trading ranges contained within an ATR band—and treats these as alternative demand bases. Entries require price to penetrate a defined depth into the zone, preventing shallow reactions. After the first valid entry, a **DCA (Dollar-Cost Averaging)** system adds buys every 10 bars while trend or breadth conditions persist. A **ratcheting SL (Stop-Loss)** tightens upward only, using demand structure or ATR when zones are unavailable. The focus is disciplined, volatility-aware accumulation aligned with structure.
אינדיקטור Pine Script®
מאת ‎Gechwindigkeitsbegrendsung‎
Trendlines & SR ZonesIt's a comprehensive indicator (Pine Script v6) that represents two powerful technical analysis tools: automatic trendline detection based on pivot points and volume delta analysis with support/resistance zone identification. This overlay indicator helps traders identify potential trend directions and key price levels where significant buying or selling pressure has occurred. Features: = 1. Price Trendlines The indicator automatically identifies and draws trendlines based on pivot points, creating dynamic support and resistance levels. Key Components: Pivot Detection: Uses configurable left and right bars to identify significant pivot highs and lows Trendline Filtering: Only draws downward-sloping resistance trendlines and upward-sloping support trendlines Zone Creation: Creates filled zones around trendlines based on average price volatility Automatic Management: Maintains only the 3 most recent significant trendlines to avoid chart clutter Customization Options: Left/Right Bars for Pivot: Adjust sensitivity of pivot detection (default: 10 bars each side) Extension Length: Control how far trendlines extend past the second pivot (default: 50 bars) Average Body Periods: Set the lookback period for volatility calculation (default: 100) Tolerance Multiplier: Adjust the width of the trendline zones (default: 1.0) Color Customization: Separate colors for high (resistance) and low (support) trendlines and their fills 2. Volume Delta % Bars The indicator analyzes volume distribution across price levels to identify significant supply and demand zones. Key Components: Volume Profile Analysis: Divides the price range into rows and calculates volume delta at each level Delta Visualization: Displays horizontal bars showing the percentage difference between buying and selling volume Zone Identification: Automatically identifies the most significant supply and demand zones Visual Integration: Connects volume delta bars with corresponding support/resistance zones on the price chart Customization Options: Lookback Period: Set the number of bars to analyze for volume (default: 200) Price Rows: Control the granularity of the volume analysis (default: 50 rows) Delta Sections: Adjust the number of horizontal delta bars displayed (default: 20) Panel Appearance: Customize width, position, and direction of the delta panel Zone Settings: Control the number of supply/demand zones and their extension (default: 3 zones) How It Works- Trendline Logic: The script continuously scans for pivot highs and lows based on the specified left and right bars When a pivot is detected, it creates a horizontal line at that price level The script then looks for the previous pivot of the same type (high or low) It connects these pivots with a trendline, extending it based on the user-specified setting A parallel line is created to form a zone, with the distance based on average price volatility The script filters out invalid trendlines (upward-sloping resistance and downward-sloping support). Only the 3 most recent trendlines are maintained to prevent chart clutter Volume Delta Logic: The script divides the price range over the lookback period into the specified number of rows For each bar in the lookback period, it categorizes volume as bullish (close > open) or bearish (close < open). This volume is assigned to the appropriate price level based on the HLC3 price. The price levels are grouped into sections, and the net delta (bullish - bearish volume) is calculated for each Horizontal bars are drawn to represent these delta percentages. The most significant positive and negative deltas are identified and displayed as support and resistance zones. These zones are extended to the left on the price chart and connected to the delta panel with dotted lines. Ideal Timeframes: The indicator is versatile and can be used across multiple timeframes, but it performs optimally on specific timeframes depending on your trading style: For Day Trading: Optimal Timeframes: 15-minute to 1-hour charts Why: These timeframes provide a good balance between noise reduction and sufficient volume data. The volume delta analysis is particularly effective on these timeframes as it captures intraday accumulation/distribution patterns while the trendlines remain reliable enough for intraday trading decisions. For Swing Trading: Optimal Timeframes: 1-hour to 4-hour charts Why: These timeframes offer the best combination of reliable trendline formation and meaningful volume analysis. The trendlines on these timeframes are less prone to whipsaws, while the volume delta analysis captures multi-day trading sessions and institutional activity. For Position Trading: Optimal Timeframes: Daily and weekly charts Why: On these higher timeframes, trendlines become extremely reliable as they represent significant market structure points. The volume delta analysis reveals longer-term accumulation and distribution patterns that can define major support and resistance zones for weeks or months. Timeframe-Specific Adjustments: Lower Timeframes (1-15 minutes): Reduce left/right bars for pivots (5-8 bars) Decrease lookback period for volume delta (50-100 bars) Increase tolerance multiplier (1.2-1.5) to account for higher volatility Higher Timeframes (Daily+): Increase left/right bars for pivots (15-20 bars) Extend lookback period for volume delta (300-500 bars) Consider increasing the number of price rows (70-100) for more detailed volume analysis Usage Guidelines- For Trendline Analysis: Use the trendlines as dynamic support and resistance levels Price reactions at these levels can indicate potential trend continuation or reversal points The filled zones around trendlines represent areas of price volatility or uncertainty Consider the slope of the trendline as an indication of trend strength For Volume Delta Analysis: The horizontal delta bars show where buying or selling pressure has been concentrated Green bars indicate areas where buying volume exceeded selling volume (demand) Red bars indicate areas where selling volume exceeded buying volume (supply) The highlighted supply and demand zones on the price chart represent significant price levels These zones can act as future support or resistance areas as price revisits them Customization Tips: Trendline Sensitivity: Decrease left/right bars values to detect more pivots (more sensitive) or increase them for fewer, more significant pivots Zone Width: Adjust the tolerance multiplier to make trendline zones wider or narrower based on your trading style Volume Analysis: Increase the lookback period for a longer-term volume profile or decrease it for more recent activity Visual Clarity: Adjust colors and transparency settings to match your chart theme and preferences Conclusion: This indicator provides traders with a comprehensive view of both trend dynamics and volume-based support/resistance levels. With these two analytical approaches, the indicator offers valuable insights for identifying potential entry and exit points, trend strength, and key price levels where significant market activity has occurred. The extensive customization options allow traders to adapt the indicator to various trading styles and timeframes, with optimal performance on 15-minute to daily charts depending on their trading horizon. Chart Attached: NSE HINDZINC, EoD 12/12/25 DISCLAIMER: This information is provided for educational purposes only and should not be considered financial, investment, or trading advice. Please do boost if you like it. Happy Trading.
אינדיקטור Pine Script®
מאת ‎kingshukghosh71‎
10
BTC DCA Risk Metric StrategyBTC DCA Risk Strategy - Automated Dollar Cost Averaging with 3Commas Integration Overview This strategy combines the proven Oakley Wood Risk Metric with an intelligent tiered Dollar Cost Averaging (DCA) system, designed to help traders systematically accumulate Bitcoin during periods of low risk and take profits during high-risk conditions. Key Features 📊 Multi-Component Risk Assessment 4-Year SMA Deviation: Measures Bitcoin's distance from its long-term mean 20-Week MA Analysis: Tracks medium-term momentum shifts 50-Day/50-Week MA Ratio: Captures short-to-medium term trend strength All metrics are normalized by time to account for Bitcoin's maturing market dynamics 💰 3-Tier DCA Buy System Level 1 (Low Risk): Conservative entry with base allocation Level 2 (Lower Risk): Increased allocation as opportunity improves Level 3 (Extreme Low Risk): Maximum allocation during rare buying opportunities Buys execute every bar while risk remains below thresholds, enabling true DCA accumulation 📈 Progressive Profit Taking Sell Level 1: Take initial profits as risk increases Sell Level 2: Scale out further positions during elevated risk Sell Level 3: Final exit during extreme market conditions Sell levels automatically reset when new buy signals occur, allowing flexible re-entry 🤖 3Commas Integration Fully automated webhook alerts for Custom Signal Bots JSON payloads formatted per 3Commas API specifications Supports multiple exchanges (Binance, Coinbase, Kraken, Gemini, Bybit) Configurable quote currency (USD, USDT, BUSD) How It Works The strategy calculates a composite risk metric (0-1 scale): 0.0-0.2: Extreme buying opportunity (green zone) 0.2-0.5: Favorable accumulation range (yellow zone) 0.5-0.8: Neutral to cautious territory (orange zone) 0.8-1.0+: High risk, profit-taking zone (red zone) Buy Logic: As risk decreases, position sizes increase automatically. If risk drops from L1 to L3 threshold, the strategy combines all three tier allocations for maximum exposure. Sell Logic: Sequential profit-taking ensures you capture gains progressively. The system won't advance to Sell L2 until L1 completes, preventing premature full exits. Configuration Risk Metric Parameters: All calculations use Bitcoin price data (any BTC chart works) Time-normalized formulas adapt to market maturity No manual parameter tuning required Buy Settings: Set risk thresholds for each tier (default: 0.20, 0.10, 0.00) Define dollar amounts per tier (default: $10, $15, $20) Fully customizable to your risk tolerance and capital Sell Settings: Configure risk thresholds for profit-taking (default: 1.00, 1.50, 2.00) Set percentage of position to sell at each level (default: 25%, 35%, 40%) 3Commas Setup: Create a Custom Signal Bot in 3Commas Copy Bot UUID and Secret Token into strategy inputs Enable 3Commas Alerts checkbox Create TradingView alert: Condition → "alert() function calls only", Webhook → api.3commas.io Backtesting Results Strengths: Systematically buys dips without emotion Averages down during extended bear markets Captures explosive bull run profits through tiered exits Pyramiding (1000 max orders) allows true DCA behavior Considerations: Requires sufficient capital for multiple buys during prolonged downtrends Backtest on Daily timeframe for most reliable signals Past performance does not guarantee future results Visual Design The indicator pane displays: Color-coded risk metric line: Changes from white→red→orange→yellow→green as risk decreases Background zones: Green (buy), yellow (hold), red (sell) areas Dashed threshold lines: Clear visual markers for each buy/sell level Entry/Exit labels: Green buy labels and orange/red sell labels mark all trades Credits Original Risk Metric: Oakley Wood Strategy Development & 3Commas Integration: Claude AI (Anthropic) Modifications: pommesUNDwurst Disclaimer This strategy is for educational and informational purposes only. Cryptocurrency trading carries substantial risk of loss. Always conduct your own research and never invest more than you can afford to lose. The authors are not financial advisors and assume no responsibility for trading decisions made using this tool.
אסטרטגיית Pine Script®
מאת ‎nakphanan‎
Volume Profile VisionVolume Profile Vision - Complete Description Overview Volume Profile Vision (VPV) is an advanced volume profile indicator that visualizes where trading activity has occurred at different price levels over a specified time period. Unlike traditional volume indicators that show volume over time, this indicator displays volume distribution across price levels, helping traders identify key support/resistance zones, fair value areas, and potential reversal points. What Makes This Indicator Original Volume Profile Vision introduces several unique features not found in standard volume profile tools: Dual-Direction Histogram Display: Unlike conventional volume profiles that only show bars extending in one direction, VPV displays volume bars extending both left (into historical candles) and right (as a traditional histogram). This bi-directional approach allows traders to see exactly where historical price action intersected with high-volume nodes. Real-Time Candle Highlighting: The indicator dynamically highlights volume bars that intersect with the current candle's price range, making it immediately obvious which volume levels are currently in play. Four Professional Color Schemes: Each color scheme uses distinct gradient algorithms and visual encoding systems: Traffic Light: Uses red (POC), green (VA boundaries), yellow (HVN), with grayscale gradients outside the value area Aurora Glass: Modern cyan-to-magenta gradient with hot magenta POC highlighting Obsidian Precision: Professional dark theme with white POC and electric cyan accents Black Ice: Monochromatic cyan family with graduated intensity Adaptive Transparency System: Automatically adjusts bar transparency based on position relative to value area, with special handling for each color scheme to maintain visual clarity. Core Concepts & Calculations Volume Distribution Analysis The indicator divides the visible price range into user-defined price levels (default: 80 levels) and calculates the total volume traded at each level by: Scanning back through the specified lookback period (customizable or visible range) For each historical bar, determining which price levels the bar's high/low range intersects Accumulating volume for each intersected price level Optionally filtering by bullish/bearish volume only Point of Control (POC) The POC is the price level with the highest traded volume during the analyzed period. This represents the "fairest" price where most traders agreed on value. The indicator marks this with distinct coloring (red in Traffic Light, magenta in Aurora Glass, white in Obsidian Precision, cyan in Black Ice). Trading Significance: POC acts as a strong magnet for price - markets tend to return to fair value. When price is away from POC, traders watch for: Mean reversion opportunities when price is far from POC Rejection signals when price tests POC from above/below Breakout confirmation when price breaks through and holds beyond POC Value Area (VA) The Value Area encompasses the price range where a specified percentage (default: 68%) of all volume traded. This represents the range of "accepted value" by market participants. Calculation Method: Start at the POC (highest volume level) Expand upward and downward, adding adjacent price levels Always add the level with higher volume next Continue until accumulated volume reaches the VA percentage threshold Value Area High (VAH): Upper boundary of accepted value - acts as resistance Value Area Low (VAL): Lower boundary of accepted value - acts as support Trading Significance: Price spending time inside VA indicates market equilibrium Breakouts above VAH suggest bullish momentum shift Breakdowns below VAL suggest bearish momentum shift Returns to VA boundaries often provide high-probability entry zones High Volume Nodes (HVN) Price levels with volume exceeding a threshold percentage (default: 80%) of POC volume. These represent areas of strong agreement and consolidation. Trading Significance: HVNs act as strong support/resistance zones Price tends to consolidate at HVNs before making directional moves Breaking through an HVN often signals strong momentum Low Volume Nodes (LVN) Price levels within the Value Area with volume ≤30% of POC volume. These are zones price moved through quickly with minimal consolidation. Trading Significance: LVNs represent areas of rejection - price finds little acceptance Price tends to move rapidly through LVN zones Useful for setting stop-losses (below LVN for longs, above for shorts) Can identify potential gaps or "air pockets" in the market structure Grayscale POC Detection A secondary POC detection system identifies the highest volume level outside the Value Area (with a 2-level buffer to avoid confusion). This helps identify significant volume accumulation zones that exist beyond the main value area. How to Use This Indicator Setup Choose Lookback Period: Enable "Use Visible Range" to analyze only what's on your chart Or set "Fixed Range Lookback Depth" (default: 200 bars) for consistent analysis Adjust Profile Resolution: "Number of Price Levels" (default: 80) - higher = more granular analysis, lower = broader zones Select Color Scheme: Traffic Light: Best for clear POC/VA/HVN identification Aurora Glass: Modern aesthetic for dark charts Obsidian Precision: Professional trader preference Black Ice: Minimalist single-color family Visual Customization Left Extension: How far back the left-side histogram extends into historical candles (default: 490 bars) Right Extension: Width of the traditional histogram bars on the right (default: 50 bars) Right Margin: Space between current price bar and histogram (default: 0 for flush alignment) Left Profile Gap: Space between left-side histogram and candles (default: 0) Trading Strategies Strategy 1: Value Area Mean Reversion Wait for price to move outside the Value Area (above VAH or below VAL) Look for rejection signals (wicks, bearish/bullish candles) Enter trades toward the POC Take profits as price returns to POC or opposite VA boundary Strategy 2: Breakout Confirmation Identify when price is consolidating within the Value Area Wait for a strong close above VAH (bullish) or below VAL (bearish) Enter on the breakout or on first pullback to the VA boundary Target previous HVNs or swing highs/lows outside the VA Strategy 3: POC Support/Resistance Watch for price approaching the POC level If approaching from below, look for bullish reversal patterns at POC (support) If approaching from above, look for bearish reversal patterns at POC (resistance) Trade in the direction of the bounce with stops beyond the POC Strategy 4: LVN Fast Movement Zones Identify LVN zones within the Value Area (marked with "LVN" label) When price enters an LVN, expect rapid movement through the zone Avoid entering trades within LVNs Use LVNs as confirmation of directional momentum Alert System The indicator includes 7 customizable alert conditions: POC Touch: Alerts when price comes within 0.5 ATR of POC VAH/VAL Touch: Alerts at Value Area boundaries VA Breakout: Alerts on breakouts above VAH or below VAL HVN Touch: Alerts when price contacts High Volume Nodes LVN Entry: Alerts when entering Low Volume zones POC Shift: Alerts when POC moves to a new price level Reading the Profile Price Labels (shown on the right side): POC: Point of Control - highest volume price level VAH: Value Area High - upper boundary of accepted value VAL: Value Area Low - lower boundary of accepted value LVN: Low Volume Node - expect fast movement through this zone Color Intensity Interpretation: Brighter colors = higher volume concentration Dimmer colors = lower volume Abrupt color changes = transition between volume zones Gaps in the histogram = price levels with no trading activity Technical Details Volume Accumulation Logic: For each bar in lookback period: For each price level: If bar's high/low range intersects price level: Add bar's volume to that price level's total Gradient Algorithm: Traffic Light: Dual-range piecewise gradient (0-50% and 50-100% volume intensity) Aurora Glass: Linear cyan-to-magenta interpolation Obsidian Precision: Dark blue gradient with cyan highlights Black Ice: Three-stage cyan intensity progression Real-Time Updates: The profile recalculates on every bar, including real-time tick data, ensuring the volume distribution always reflects current market structure. Best Practices Timeframe Selection: Use higher timeframes (4H, Daily) for swing trading, lower timeframes (5min, 15min) for day trading Combine with Price Action: Volume profile shows WHERE, price action shows WHEN Multiple Timeframe Analysis: Check daily VP for major levels, then drill down to intraday for entries Volume Type Selection: Use "Bullish" volume in uptrends, "Bearish" in downtrends, or "Both" for complete picture Adjust VA Percentage: 68% (default) captures one standard deviation; try 70% for tighter or 60% for broader value areas Performance Notes Maximum bars back: 5000 (handles deep historical analysis) Maximum boxes: 500 (handles complex profiles) Optimized calculation: Only recalculates on last bar for efficiency Real-time capable: Updates as new ticks arrive
אינדיקטור Pine Script®
מאת ‎KevinSvenson_‎
2
FluxPulse Beacon## FluxPulse Beacon FluxPulse Beacon applies a microstructure lens to every bar, combining directional thrust, realized volatility, and multi-timeframe liquidity checks to decide whether the tape is being pushed by real sponsorship or just noise. The oscillator's color-coded columns and adaptive burst thresholds transform complex flow dynamics into a single actionable flux score for futures and equities traders. HOW IT WORKS Momentum Extraction – Price differentials over a configurable pulse distance are smoothed using exponential moving averages to isolate directional thrust without reacting to single prints. Volatility + Liquidity Normalization – The momentum stream is divided by realized volatility and multiplied by both local and higher-timeframe EMA volume ratios, ensuring pulses only appear when volatility and liquidity align. Adaptive Thresholding – A volatility-derived standard deviation of flux is blended with the base threshold so bursts scale automatically between low-volatility and high-volatility market conditions. Divergence Engine – Linear regression slopes compare price vs. flux to tag bullish/bearish divergences, highlighting stealth accumulation or distribution zones. HOW TO USE IT Continuation Entries : Go with the trend when histogram bars stay above the adaptive threshold, the signal line confirms, and trend bias agrees—this is where liquidity-backed follow-through lives. Fade Plays : Watch for divergence alerts and shrinking compression values; when flux prints below zero yet price grinds higher, hidden selling pressure often precedes rollovers. Session Filter : Compression percentage in the diagnostics table instantly tells you whether to trade thin overnight sessions—low compression means stand down. VISUAL FEATURES Dynamic background heat maps flux magnitude, while threshold lines provide a quick read on whether a pulse is statistically significant. Diagnostics table displays live flux, signal, adaptive threshold, and compression for quick reference. Alert-first workflow: The surface is intentionally clean—bursts and divergences are delivered via alerts instead of on-chart clutter. PARAMETERS Trend EMA Length (default: 34): Defines the macro bias anchor; increase for higher-timeframe confirmation. Pulse Distance (default: 8): Controls how sensitive momentum extraction becomes. Volatility Window (default: 21): Sample window for realized volatility normalization. Liquidity Window (default: 55): Volume smoothing window that proxies liquidity expansion. Liquidity Reference TF (default: 60): Select a higher timeframe to cross-check whether current volume matches institutional flows. Adaptive Threshold (default: enabled): Disable for fixed thresholds on slower markets; enable for high-volatility assets. Base Burst Threshold (default: 1.25): Minimum flux magnitude that qualifies as an actionable pulse. ALERTS The indicator includes four alert conditions: Bull Burst: Detects upside liquidity pulses Bear Burst: Detects downside liquidity pulses Bull Divergence: Flags bullish delta divergence Bear Divergence: Flags bearish delta divergence LIMITATIONS This indicator is designed for liquid futures and equity markets. Performance may degrade in low-volume or highly illiquid instruments. The adaptive threshold system works best on timeframes where sufficient volatility history exists (typically 15-minute charts and above). Divergence signals are probabilistic and should be confirmed with price action. INSERT_CHART_SNAPSHOT_URL_HERE --- ## RangeLattice Mapper RangeLattice Mapper constructs a higher-timeframe scaffolding on any intraday chart, locking in structural highs/lows, mid/quarter grids, VWAP confluence, and live acceptance/break analytics. It provides a non-repainting overlay that turns range management into a disciplined process. HOW IT WORKS Structure Harvesting – Using request.security() , the script samples highs/lows from a user-selected timeframe (default 240 minutes) over a configurable lookback to establish the dominant range. Grid Construction – Midpoint and quarter levels are derived mathematically, mirroring how institutional traders map distribution/accumulation zones. Acceptance Detection – Consecutive closes inside the range flip an acceptance flag and darken the cloud, signaling balanced auction conditions. Break Confirmation – Multi-bar closes outside the structure raise break labels and alerts, filtering the countless fake-outs that plague breakout traders. VWAP Fan Overlay – Session VWAP plus ATR-based bands provide a live measure of flow centering relative to the lattice. HOW TO USE IT Range Plays : Fade taps of the outer rails only when acceptance is active and VWAP sits inside the grid—this is where mean-reversion works best. Breakout Plays : Wait for confirmed break labels before entering expansion trades; the dashboard's Width/ATR metric tells you if the expansion has enough fuel. Market Prep : Carry the same lattice from pre-market into regular trading hours by keeping the structure timeframe fixed; alerts keep you notified even when managing multiple tickers. VISUAL FEATURES Range Tap and Mid Pivot markers provide a tape-reading breadcrumb trail for journaling. Cloud fill opacity tightens when acceptance persists, visually signaling balance compressions ready to break. Dashboard displays absolute width, ATR-normalized width, and current state (Balanced vs Transitional) so you can glance across charts quickly. Acceptance Flag toggle: Keep the repeated acceptance squares hidden until you need to audit balance. PARAMETERS Structure Timeframe (default: 240): Choose the timeframe whose ranges matter most (4H for indices, Daily for stocks). Structure Lookback (default: 60): Bars sampled on the structure timeframe. Acceptance Bars (default: 8): How many consecutive bars inside the range confirm balance. Break Confirmation Bars (default: 3): Bars required outside the range to validate a breakout. ATR Reference (default: 14): ATR period for width normalization. Show Midpoint Grid (default: enabled): Display the midpoint and quarter levels. Show Adaptive VWAP Fan (default: enabled): Toggle the VWAP channel for assets where volume distribution matters most. Show Acceptance Flags (default: disabled): Turn the acceptance markers on/off for maximum visual control. Show Range Dashboard (default: enabled): Disable if screen space is limited, re-enable during prep sessions. ALERTS The indicator includes five alert conditions: Range High Tap: Price interacted with the RangeLattice high Range Low Tap: Price interacted with the RangeLattice low Range Mid Tap: Price interacted with the RangeLattice mid Range Break Up: Confirmed upside breakout Range Break Down: Confirmed downside breakout LIMITATIONS This indicator works best on liquid instruments with clear structural levels. On very low timeframes (1-minute and below), the structure may update too frequently to be useful. The acceptance/break confirmation system requires patience—faster traders may find the multi-bar confirmation too slow for scalping. The VWAP fan is session-based and resets daily, which may not suit all trading styles. ---
אינדיקטור Pine Script®
מאת ‎officialjackofalltrades‎
RSI Analytic Volume Matrix [RAVM] Overview RSI Analytic Volume Matrix is an overlay indicator that turns classic RSI into a multi-layered market-reading engine. Instead of treating RSI 30 and 70 as simple buy/sell lines, RAVM combines RSI geometry (angle and acceleration), statistical volume analysis, and a 5×5 VSA-inspired matrix to describe what is really happening inside each candle. The script is designed as an educational and analytical tool. It does not generate trading signals. Instead, it helps you read the market context, understand where the pressure is coming from (buyers vs. sellers), and see how price, momentum, and volume interact in real time. Concept & Philosophy RAVM is built around a hierarchical logic and a few core ideas: • Hierarchical State Machine: First, RSI defines a context (where we are in the 0–100 range). Then the geometric engine evaluates the angle-of-turn of RSI using a Z-Score. Only after a meaningful geometric event is detected does the system promote a bar to a potential setup (warning vs. confirmed). • Geometric Primacy: The angle and acceleration of RSI (RSI geometry) are more important than the raw RSI level itself. RAVM uses a geometric veto: if the geometric trigger is not confirmed, the confidence score is capped below 50%, even if volume looks interesting. • RSI Beyond 30 and 70: Being above 70 or below 30 is not treated as an automatic overbought/oversold signal. RAVM treats those zones as contextual factors that contribute only a partial portion of the final score, alongside geometry, total volume expansion, buy/sell balance, and delta power. • Volume Decomposition: Volume is decomposed into total, buy-side, sell-side, and delta components. Each of these is normalized with a Z-Score over a shared statistical window, so RSI geometry and volume live in the same statistical context. • Educational Scoring Pipeline: RAVM builds a 0–100 "Quantum Score" for each detected setup. The score expresses how strong the story is across four dimensions: geometry (RSI angle-of-turn), total volume expansion, which side is driving that volume (buyers vs. sellers), and the power of delta. The score is designed for learning and weighting, not for mechanical trade entries. • VSA Matrix Engine: A 5×5 matrix combines momentum states and volume dynamics. Each cell corresponds to an interpreted VSA-style scenario (Absorption, Distribution, No Demand, Stopping Volume, Strong Reversal, etc.), shown both as text and as a heatmap dashboard on the chart. How RAVM Works 1. RSI Context & Geometry RAVM starts with a classic RSI, but it does not stop at simple level checks. It computes the velocity and acceleration of RSI and normalizes them via a Z-Score to produce an Angle-of-Turn metric (Z-AoT). This Z-AoT is then mapped into a 0–1 intensity value called MSI (Momentum Shift Intensity). The script monitors both classic RSI zones (around 30 and 70) and geometric triggers. Entering the lower or upper zone is treated as a contextual event only. A setup becomes "confirmed" when a significant geometric turn is detected (based on Z-AoT thresholds). Otherwise, the bar is at most a warning. 2. Volume & Statistical Engine The volume engine can work in two modes: a geometric approximation (based on candle structure) or a more precise intrabar mode using up/down volume requests. In both cases, RAVM builds a volume packet consisting of: • Total volume • Buy-side volume • Sell-side volume • Delta (buy – sell) Each of these series is normalized using a Z-Score over the same statistical window that is used for RSI geometry. This allows RAVM to answer questions such as: Is total volume exceptional on this bar? Is the expansion mostly coming from buyers or from sellers? Is delta unusually strong or weak compared to recent history? 3. Scoring System (Quantum Score) For each bar where a setup is active, RAVM computes a 0–100 score intended as an educational confidence measure. The scoring pipeline follows this sequence: A. RSI Geometry (MSI): Measures the strength of the RSI angle-of-turn via Z-AoT. This has geometric primacy over simple level checks. B. RSI Zone Context: Being below 30 or above 70 contributes only a partial bonus to the score, reflecting the idea that these zones are context, not automatic signals. Mildly supportive zones (e.g., RSI below 50 for bullish contexts) can also contribute with lower weight. C. Total Volume Expansion: A normalized Volume Power term expresses how exceptional the total volume is relative to its recent distribution. If there is no meaningful volume expansion, the score remains modest even if RSI geometry looks interesting. D. Which Side Is Driving the Volume: RAVM then checks whether the expansion is primarily on the buy side or the sell side, using Z-Score statistics for buy and sell volume separately. This stage does not yet rely on delta as a power metric; it simply answers the question: "Is this expansion mostly driven by buyers, sellers, or both?" E. Delta as Final Power: Only at the final stage does the script bring in delta and its Z-Score as a measure of how one-sided the pressure really is. A strong negative delta during a bullish context, for example, can highlight absorption, while a strong positive delta against a bearish context can highlight distribution or a buying climax. If a setup is not geometrically confirmed (for example, a simple entry into RSI 30/70 without a strong geometric turn), RAVM caps the final score below 50%. This "Geometric Veto" enforces the idea that RSI geometry must confirm before a scenario can be considered high-confidence. 4. Overlay UI & Smart Labels RAVM is an overlay indicator: all information is drawn directly on the price chart, not in a separate pane. When a setup is active, a smart label is attached to the bar, together with a vertical connector line. Each label shows: • Direction of the setup (bullish or bearish) • Trigger type (classic OS/OB vs. geometric/hidden) • Status (warning vs. confirmed) • Quantum Score as a percentage Confirmed setups use stronger colors and solid connectors, while warnings use softer colors and dotted connectors. The script also manages label placement to avoid overlap, keeping the chart clean and readable. In addition to labels, a dashboard table is drawn on the chart. It displays the currently active matrix scenario, the dominant bias, a short textual interpretation, the full 5×5 heatmap, and summary metrics such as RSI, MSI, and Volume Power. RSI Is Not Just 30 and 70 One of the central design decisions in RAVM is to treat RSI 30 and 70 as context, not as fixed buy/sell buttons. Many traders mechanically assume that RSI below 30 means "buy" and RSI above 70 means "sell". RAVM explicitly rejects this simplification. Instead, the script asks a series of deeper questions: How sharp is the angle-of-turn of RSI right now? Is total volume expanding or contracting? Is that expansion dominated by buyers or sellers? Is delta confirming the move, or is there a hidden absorption or distribution taking place? In the scoring logic, being in a lower or upper RSI zone contributes only part of the final score. Geometry, volume expansion, the buy/sell split, and delta power all have to align before a high-confidence scenario emerges. This makes RAVM much closer to a structured market-reading tool than a classic overbought/oversold indicator. Matrix User Manual – Reading the 5×5 Grid The heart of RAVM is its 5×5 matrix, where the vertical axis represents momentum states (M1–M5) and the horizontal axis represents volume dynamics (V1–V5). Each cell in this grid corresponds to a VSA-style scenario. The dashboard highlights the currently active cell and prints a textual description so you can read the story at a glance. 1. Confirmation Scenarios These scenarios occur when momentum direction and volume expansion are aligned: • Bullish Confirmation / Strong Reversal: Momentum is shifting strongly upward (often from a depressed RSI context), and expanded volume is driven mainly by buyers. Often seen as a strong bullish reversal or continuation signal from a VSA perspective. • Bearish Confirmation / Strong Drop: Momentum is turning decisively downward, and expanded volume is driven mainly by sellers. This maps to strong bearish continuation or sharp reversal patterns. 2. Absorption & Stopping Volume • Absorption: Total volume expands, but the dominant flow is opposite to the recent price move or the geometric bias. For example, heavy selling volume while the geometric context is bullish. This can indicate smart money quietly absorbing orders from the crowd. • Stopping Volume: Exceptionally high volume appears near the end of an extended move, while momentum begins to decelerate. Price may still print new extremes, but the effort vs. result relationship signals potential exhaustion and the possibility of a turn. 3. Distribution & Buying Climax • Distribution: Heavy buying volume appears within a bearish or topping context. Rather than healthy accumulation, this often represents larger players offloading inventory to late buyers. The matrix will typically flag this as a bearish-leaning scenario despite strong upside prints. • Buying Climax: A surge of buy-side volume near the end of a strong uptrend, with momentum starting to weaken. From a VSA point of view, this is often the last push where retail aggressively buys what smart money is selling. 4. No Demand & No Supply • No Demand: Price attempts to rise but does so on low, non-expansive volume. The market is not interested in following the move, and the lack of participation often precedes weakness or sideways action. • No Supply: Price tries to push lower on thin volume. Selling pressure is limited, and the lack of supply can precede stabilization or recovery if buyers step back in. 5. Trend Exhaustion • Uptrend Exhaustion: Momentum remains nominally bullish, but the quality of volume deteriorates (e.g., more effort, less net result). The matrix marks this as an uptrend losing internal strength, often after a series of aggressive moves. • Downtrend Exhaustion: Similar logic in the opposite direction: strong prior downtrend, but increasingly inefficient downside progress relative to the volume invested. This can precede accumulation or a relief rally. 6. Effort vs. Result Scenarios • Bullish Effort, Little Result: Buyers invest notable volume, but price progress is limited. This may reveal hidden selling into strength or a lack of follow-through from the broader market. • Bearish Effort, Little Result: Sellers push volume, but price does not decline proportionally. This can indicate absorption of selling pressure and potential underlying demand. 7. Neutral, Churn & Thin Markets • Neutral / Thin Market: Momentum and volume both remain muted. RAVM marks these as neutral cells where aggressive decision-making is usually less attractive and observing the broader structure is more important. • High Volume Churn / Volatility: Both sides are active with high volume but limited directional progress. This can correspond to battle zones, local ranges, or high volatility rotations where the main message is conflict rather than clear trend. Inputs & Options RAVM includes several input groups to adapt the tool to your preferences: • Localization: Multiple language options for all labels and dashboard text (e.g., English, Farsi, Turkish, Russian). • RSI Core Settings: RSI length, source, and upper/lower contextual zones (typically around 30 and 70). • Geometric Engine: Z-AoT sigma thresholds, confirmation ratios, and normalization window multiplier. These control how sensitive the script is to RSI angle-of-turn events. • Volume Engine: Choice between geometric approximation and intrabar up/down volume, Z-Score thresholds for volume expansion, and related parameters. • Visual Interface: Toggles for smart labels, dashboard table, font sizes, dashboard position, and color themes for bullish, bearish, and warning states. Disclaimer RSI Analytic Volume Matrix is provided for educational and research purposes only. It does not constitute financial advice and is not a signal generator. Any trading decisions you make based on this tool, or any other, are entirely your own responsibility. Always consider your own risk management rules and conduct your own analysis.
אינדיקטור Pine Script®
מאת ‎ata_sabanci‎
6
VB Sigma Smart Momentum IndicatorVB Sigma Smart Momentum Indicator (VBSSMI) The VBSSMI provides a consolidated decision-support framework that surfaces market participation, trend integrity, and liquidity conditions in a single visual environment. The tool integrates four analytical modules: MCDX Flow Mapping, Donchian Regime Layers, Banker Flow Modeling, and Chop Zone Trend Classification. Together, these components convert raw price movement into an actionable interpretation of who is in control, whether momentum is durable, and what phase the instrument is currently cycling through. How to Use the Indicator (Practical Workflow) 1. Start with Institutional / Banker Flow (Pink/Red/Yellow/Green Candles) This is the primary signal layer. It tells you when high-capacity participants are increasing, reducing, or reversing risk. Yellow Candle — Entry Bias Indicates a potential institutional initiation when their trend metric crosses above their accumulation threshold. Operational signal: instrument enters “monitor for entry” state. Green Candle — Accumulation State Fund-trend > bullbearline. Operational signal: trend integrity improving; pullbacks are generally buyable. White Candle — Distribution / Cooling Fund-trend weakening but not broken. Operational signal: tighten stops; momentum deteriorating. Red Candle — Exit / Trend Failure Fund-trend < bullbearline. Operational signal: momentum regime invalidated; avoid long risk. Blue Candle — Weak Rebound A temporary uptick within broader weakness. Operational signal: do not mistake this for a durable reversal. 2. Validate alignment with Flow Chips (Retail / Trader / Institutional) These three flow columns (MCDX layers) answer: who is actually participating? Retailer Flow (Locked Chips – Green) High values imply retail conviction, often late-cycle. Good for confirming trend strength, not timing entries. Trader Zone Flow (Float Chips – Yellow) When this spikes, volatility and tactical positioning increase. Signal: strong short-term engagement, supports breakout/trend continuation. Institutional Flow (Profitable Chips – Red/Pink) This is the “true north” of momentum. Rising values = institutions controlling price discovery. Signal: long setups have statistical tailwind. The operational guidance is straightforward: Institutional Flow > Trader Flow > Retail Flow is the healthiest configuration for sustainable upside momentum. 3. Confirm Breakout / Breakdown Conditions with Donchian Regime Columns The vertical Donchian stack illustrates trend regime in a time-compressed format. Bright Blue/Cyan Structure expanding upward (breakout cluster). Dark Purple/Red Structure breaking downward (breakdown cluster). Mixed Columns Transitional or indecisive conditions. Interpret it as a “momentum backdrop”: If Donchian columns and Banker Flow candles disagree, avoid entries. 4. Consult the Chop Zone Strip Before Committing Capital The Chop Zone uses EMA angle to determine whether the market is trending or congested. Greens/Blues → Trend phase (favorable environment for continuation trades). Yellows/Oranges/Reds → High noise probability; expect false signals. Operationally: Never enter breakout setups during yellow/orange/red chop. 5. Final Decision Framework (Checklist) A long setup typically requires: Green or Yellow Banker Flow Candle Institutional Flow rising Donchian columns in bullish regime colors Chop Zone in a trend color (not red/yellow/orange) A short setup is the exact inverse. Recommended Use Cases Momentum trading Swing position building Institutional-flow confirmation Trend-filtering before deploying breakout systems Screening for strong/weak symbols in multi-asset rotation strategies
אינדיקטור Pine Script®
מאת ‎TheSigmaMentor‎
6
MTF Trading Helper & Multi AlertsHi dear fellows, I´m using this indicator for my trading, so every then and when I will publish updates on this one. This indicator should help to identify the right trading setup. I´m using it to trade index futures and stocks. MTF Trading Helper & Multi Alerts Overview This indicator provides a clear visual representation of trend direction across three timeframes. It helps traders identify trend alignment, potential reversals, and optimal entry/exit points by analyzing the relationship between different smoothed timeframes. You can set up multiple alerts (as one alert in Tradingview) How It Works The indicator displays three colored circles representing the smoothed candle direction on three different timeframes: Bottom plot represents the overall trend direction, the plot in the middle shows intermediate momentum, and the one on top captures short-term price action. When a color change occurs, the circle appears in a darker shade to highlight the transition. 🟢 Green = Bullish - 🔴 Red = Bearish This change can also trigger multiple alerts. Timeframe Settings - important Choose between two trading setups, either for: Intraday 1-minute candles or 1h for swing trading. Set up your chart accordingly to that timeframe. Intraday | 1Min chart candles Swing | 1 hour chart candles Plots TF3 represents the overall trend direction (bottom), TF2 shows intermediate momentum (middle), and TF1 captures short-term price action (top). Interpretation & Strategy Alerts 1. Trend Bullish (TF3 turns Green) The higher timeframe has shifted bullish - a potential new uptrend is forming. Example: You're watching ES-mini on the Intraday setting. TF3 turns green after being red for several days. This signals the broader trend may be shifting bullish - consider looking for long opportunities. 2. Trend Bearish (TF3 turns Red) The higher timeframe has shifted bearish - consider protecting profits or exiting long positions. Example: You hold a long position in Es-mini. TF3 turns red, indicating the macro trend is weakening. This is your signal to take profits or tighten stop-losses. 3. Possible Accumulation (TF3 Red + TF2 turns Green) While the overall trend is still bearish, the medium timeframe shows buying pressure. Smart money may be accumulating - watch closely for a potential trend reversal. Example: Es-mini has been in a downtrend (TF3 red). Suddenly TF2 turns green while TF3 remains red. This could indicate institutional buying before a reversal. Don't buy yet, but add it to your watchlist and wait for confirmation. 4. Trend Continuation (TF3 Green + TF2 turns Green) The medium timeframe realigns with the bullish macro trend - a potential buying opportunity as momentum returns to the uptrend. Example: Es-mini is in an uptrend (TF3 green). After a pullback, TF2 was red but now turns green again. The pullback appears to be over - this is a trend continuation signal and a potential entry point. 5. Buy the Dip (TF3 + TF2 Green + TF1 turns Green) All timeframes are now aligned bullish. The short-term pullback is complete and price is resuming the uptrend - optimal entry for short-term trades. Example: Es-mini is trending up (TF3 + TF2 green). A small dip caused TF1 to turn red briefly. When TF1 turns green again, all three timeframes are aligned - this is your "Buy the Dip" signal with strong confirmation. 6. Sell the Dip (TF3 + TF2 Green + TF1 turns Red) Short-term weakness within an uptrend. This can be used to take partial profits, wait for a better entry, or trail stops tighter. Example: You're long on ES-mini with TF3 and TF2 green. TF1 turns red, indicating short-term selling pressure. Consider taking partial profits here and wait for TF1 to turn green again (Buy the Dip) to add back to your position. How to Use Choose your scenario: Select "Intraday" 1min-chart for day trading or "Swing" 1h-chart for swingtrading Enable alerts: Turn on the strategy alerts you want to receive in the settings Wait for signals: Let the indicator notify you when conditions align Confirm with price action: Always use additional confirmation before entering trades Best Practices ✅ Use TF3 as your trend filter - only take longs when TF3 turns green and hold them :) ✅ Use TF2 for timing - wait for TF2 to align with TF3 for swings. ✅ Use TF2 for early entries (accumulation phase) when TF3 is still red. Watch out! ✅ Use TF1 for entries when TF3 and TF2 are green. Only buy if TF1 is red. Keep it short and sweet. ✅ Combine with support/resistance levels for better entries ✅ Use proper risk management - no indicator is 100% accurate Disclaimer This indicator is for educational purposes only. Past performance does not guarantee future results. Always do your own research and use proper risk management. Never risk more than you can afford to lose.
אינדיקטור Pine Script®
מאת ‎xriswart‎
DPX+ Command Structural Flow Engine (v6) - FinalDPX+ COMMAND STRUCTURAL FLOW ENGINE v6 — DARKPOOL EDITION The most advanced auto-calibrated dark-pool absorption + structural flow detector ever released to the public. 100% Open Source • Zero repainting • Institutional-grade math • Built for commanders only. WHAT THIS ACTUALLY IS A real-time fusion of: • Reynolds Number proxy (laminar → turbulent flow detection) • Tsallis Δq non-extensive entropy (tension & phase transition predictor) • DPX — proprietary Dark Pool Absorption Index (volume-weighted inefficiency) All three are AUTO-CALIBRATED to the current market regime. No manual thresholds. Works on BTC, SPX, TSLA, 1m or monthly — same settings. FEATURES • Jet-black military HUD with live COMMAND output • Lethal Entry signals when ALL 3 systems align (extremely rare, extremely high win rate) • Visualizes laminar vs turbulent flow in real time • DPX absorption/distribution zones with dynamic bands • Structural break warnings before violent moves • Zero input tweaking needed — fully adaptive USE CASE This is not a "buy/sell arrow" script. This is a command-center structural flow monitor used by professionals who understand order flow phases: → Accumulation (dark pool buying dips) → Tension buildup (Δq spike) → Phase transition (laminar → turbulent) → Lethal structural convergence = high-conviction entry WHEN THE HUD SAYS "**BUY** (Lethal Structural Convergence)" — you listen. Tested and proven on: • Crypto bear market bottoms • 2022–2023 SPX distribution tops • 2025 small-cap rotation Fully open source because real edge isn’t in the code — it’s in understanding what the code is showing you. If you know, you know. #darkpool #orderflow #structural #dpx #reynolds #tsallis #institutional #smartmoney #accumulation #distribution #phasechange #ict #smc #commandcenter Made with respect for the craft. Drop a ♥ if this speaks to you.
אינדיקטור Pine Script®
מאת ‎Timmy741‎
Wyckoff — True Composite Man (v6)⭐ Wyckoff — True Composite Man (v6) Description (Copy/Paste for Publishing) Wyckoff — True Composite Man (v6) is a full market-structure engine designed to detect authentic Wyckoff accumulation and distribution events directly on the chart. It combines volume analysis, range expansion, structural pivots, and contextual pattern logic to identify the actions of the “Composite Man” with high accuracy. This script tracks volatility spikes, range climaxes, structural breaks, and major Wyckoff events — without repainting — and visually marks each phase or event in real-time. Detected Wyckoff Events ✔ SC — Selling Climax ✔ AR — Automatic Rally ✔ PS — Preliminary Support ✔ SPRING — Shakeout / Bear Trap ✔ UT — Upthrust (Distribution Trap) ✔ SOS — Sign of Strength ✔ LPS — Last Point of Support / Supply Each event includes spacing logic to avoid duplicates and ensure only meaningful signals are shown. How It Works • Volume spikes identified using a moving average multiplier • Range climaxes measured against dynamic range MA • Structural context using 50-bar highs/lows • Background phases (optional) based on Wyckoff logic • Auto-labeling with smart bar spacing • Optional triangle markers for climaxes Use Cases • Identifying accumulation/distribution zones • Detecting Springs, UTADs, and climaxes • Recognizing early trend reversals • Confirming Wyckoff events during live price action • Helping traders spot manipulative “Composite Man” footprints Best For • Intraday traders • Swing traders • Anyone using Wyckoff methodology • Traders who want clean, objective event detection This is a complete Wyckoff toolset built for real-time structural clarity.
אינדיקטור Pine Script®
מאת ‎Timmy741‎
CVD [able0.1]# CVD Overlay iOS Style - Complete User Guide ## 📖 Table of Contents 1. (#what-is-cvd) 2. (#installation-guide) 3. (#understanding-the-display) 4. (#reading-the-info-table) 5. (#settings--customization) 6. (#trading-strategies) 7. (#common-mistakes-to-avoid) --- ## 🎯 What is CVD? **CVD (Cumulative Volume Delta)** tracks the **difference between buying and selling pressure** over time. ### Simple Explanation: - **Positive CVD** (Orange) = More buying than selling = Bulls winning - **Negative CVD** (Gray) = More selling than buying = Bears winning - **Rising CVD** = Increasing buying pressure = Potential uptrend - **Falling CVD** = Increasing selling pressure = Potential downtrend ### Why It Matters: CVD helps you see **who's really in control** of the market - not just price movement, but actual buying/selling volume. --- ## 🚀 Installation Guide ### Step 1: Open Pine Editor 1. Go to TradingView 2. Click the **"Pine Editor"** tab at the bottom of the screen 3. Click **"New"** or open an existing script ### Step 2: Copy & Paste the Code 1. Select all existing code (Ctrl+A / Cmd+A) 2. Delete it 3. Copy the entire CVD iOS Style code 4. Paste it into Pine Editor ### Step 3: Add to Chart 1. Click **"Save"** button (or Ctrl+S / Cmd+S) 2. Click **"Add to Chart"** button 3. The indicator will appear on your chart! ### Step 4: Initial Setup - The indicator appears as an **overlay** on your price chart - You'll see an **orange/gray line** following price - An **info table** appears in the top-right corner --- ## 📊 Understanding the Display ### Main Chart Elements: #### 1. **CVD Line** (Orange/Gray) - **Orange Line** = Positive CVD (buying pressure) - **Gray Line** = Negative CVD (selling pressure) - This line moves with your price chart but shows volume delta #### 2. **CVD Zone** (Shaded Area) - Light shaded box around the CVD line - Shows the "range" of CVD movement - Helps visualize CVD boundaries #### 3. **Center Line** (Dotted) - Gray dotted line in the middle of the zone - Represents the "neutral" point - CVD crossing this = shift in market control #### 4. **Reference Asset Line** (Light Gray) - Shows Bitcoin (BTC) price movement for comparison - Helps you see if your asset moves with or against BTC - Can be changed to any asset you want #### 5. **CVD Label** - Shows current CVD value - Positioned above/below zone to avoid overlap - Updates in real-time #### 6. **Reset Background** (Very Light Gray) - Appears when CVD resets - Indicates a new calculation period --- ## 📋 Reading the Info Table The info table (top-right) shows **8 key metrics**: ### Row 1: **Header** ``` ╔═ CVD able ═╗ | 15m | ████████ | able ``` - **CVD able** = Indicator name + creator - **15m** = Current timeframe - **████████** = Visual decoration - **able** = Creator signature ### Row 2: **CVD Value** ``` CVD▲ | 7.39K | ████████ | █ █ █ ``` - **CVD▲** = CVD with trend arrow - ▲ = CVD increasing - ▼ = CVD decreasing - ► = CVD unchanged - **7.39K** = Actual CVD number - **Progress Bar** = Visual strength (darker = stronger) - **Vertical Bars** = Height shows intensity ### Row 3: **Delta** ``` ◆DELTA | -1.274K | ████░░░░ | ░ ░ ``` - **Delta** = Volume change THIS BAR ONLY - **Negative** = More selling this bar - **Positive** = More buying this bar - Shows **immediate** pressure (not cumulative) ### Row 4: **UP Volume** ``` UP↑ | -1.263K | ████████ | █ █ █ ``` - Total **buying volume** this bar - Higher = Stronger buying pressure - Green/Orange vertical bars = Bullish strength ### Row 5: **DOWN Volume** ``` DN↓ | 2.643K | ████████ | ░ ░ ░ ``` - Total **selling volume** this bar - Higher = Stronger selling pressure - Gray vertical bars = Bearish strength ### Row 6-7: **Reference Asset** (if enabled) ``` ══ REF ══ | ══════ | ████████ | █ █ PRICE▲ | 4130.300 | ████████ | █ █ ``` - **REF** = Reference asset header - **PRICE▲** = Reference price with trend - Shows if BTC (or chosen asset) is rising/falling - Compare with your chart to see correlation ### Row 8: **Market Status** ``` ◄STATUS► | NEUT | ████░░░░ | ▒ ▒ ``` - **BULL** = CVD positive + Delta positive = Strong buying - **BEAR** = CVD negative + Delta negative = Strong selling - **NEUT** = Mixed signals = Wait for clarity **Status Colors:** - **Orange background** = Bullish (good for long) - **Gray background** = Bearish (good for short) - **White background** = Neutral (no clear signal) --- ## ⚙️ Settings & Customization ### Main Settings (⚙️) #### **CVD Reset** - **None** = CVD never resets (from beginning of data) - **On Higher Timeframe** = Resets when HTF candle closes - 15m chart → Resets hourly - 1h chart → Resets daily - Recommended for most traders - **On Session Start** = Resets at market open - **On Visible Chart** = Resets from leftmost visible bar #### **Precision** - **Low (Fast)** = Uses 1m data, faster but less accurate - **Medium** = Uses 5m data, balanced (recommended) - **High** = Uses 15m data, most accurate but slower #### **Cumulative** - ✅ On = CVD accumulates over time (recommended) - ❌ Off = Shows only current bar delta #### **Show Labels** - ✅ On = Shows CVD value label on chart - ❌ Off = Cleaner chart, no label #### **Show Info Table** - ✅ On = Shows info table (recommended for beginners) - ❌ Off = Hide table for minimalist view --- ### 🎨 iOS Style Colors You can customize **every color** to match your chart theme: #### **Primary Colors** - **Primary (Orange)** = Main bullish color (#FF9500) - **Secondary (Gray)** = Main bearish color (#8E8E93) - **Background** = Table background (#FFFFFF) - **Text** = Text color (#1C1C1E) #### **Bullish/Bearish** - **Bullish (Orange)** = Positive CVD color - **Bearish (Gray)** = Negative CVD color - **Opacity** = Zone transparency (0-100%) - **Show Zone** = Enable/disable shaded area #### **Table Colors** (📋) - **Header Background** = Top row background - **Header Text** = Top row text color - **Cell Background** = Data cells background - **Cell Text** = Data cells text color - **Border** = Table border color - **Accent Background** = Special rows background - **Alert Background** = Warning/status background --- ### 📊 Reference Asset Settings #### **Enable** - ✅ On = Shows reference asset line - ❌ Off = Hide reference asset #### **Symbol** - Default: `BINANCE:BTCUSDT` - Can change to any asset: - `BINANCE:ETHUSDT` (Ethereum) - `SPX` (S&P 500) - `DXY` (US Dollar Index) - Any ticker symbol #### **Color & Width** - Customize line appearance - Width: 1-4 (thickness) --- ## 💡 Trading Strategies ### Strategy 1: CVD Divergence (Beginner-Friendly) **What to Look For:** - Price making **higher highs** but CVD making **lower highs** = Bearish divergence - Price making **lower lows** but CVD making **higher lows** = Bullish divergence **How to Trade:** 1. Wait for divergence to form 2. Look for confirmation (price reversal, candlestick pattern) 3. Enter trade in divergence direction 4. Stop loss beyond recent high/low **Example:** ``` Price: /\ /\ /\ (higher highs) CVD: /\ / \/ (lower highs) = Bearish signal ``` ### Strategy 2: CVD Trend Following (Intermediate) **What to Look For:** - **Strongly rising CVD** + **rising price** = Strong uptrend - **Strongly falling CVD** + **falling price** = Strong downtrend **How to Trade:** 1. Wait for CVD and price moving in same direction 2. Enter on pullbacks to support/resistance 3. Stay in trade while CVD trend continues 4. Exit when CVD trend breaks **Signals:** - CVD ▲▲▲ + Price ↑ = Go LONG - CVD ▼▼▼ + Price ↓ = Go SHORT ### Strategy 3: CVD + Reference Asset (Advanced) **What to Look For:** - Your asset **rising** but BTC (reference) **falling** = Relative strength - Your asset **falling** but BTC (reference) **rising** = Relative weakness **How to Trade:** 1. Compare CVD movement with BTC 2. If your CVD rises faster than BTC = Buy signal 3. If your CVD falls faster than BTC = Sell signal 4. Use for **pair trading** or **asset selection** ### Strategy 4: Volume Delta Confirmation **What to Look For:** - **Large positive Delta** = Strong buying this bar - **Large negative Delta** = Strong selling this bar **How to Trade:** 1. Price breaks resistance + Large positive Delta = Confirmed breakout 2. Price breaks support + Large negative Delta = Confirmed breakdown 3. Use Delta to **confirm** price moves, not predict them **Rules:** - Delta > 2x average = Very strong pressure - Delta near zero at key level = Weak move, likely false breakout --- ## 🎓 Reading Real Scenarios ### Scenario 1: Strong Buying Pressure ``` Table Shows: CVD▲ | 12.5K | ████████ | ████ (CVD rising) ◆DELTA | +2.8K | ████████ | ▲ (Positive delta) UP↑ | 3.1K | ████████ | ████ (High buy volume) DN↓ | 0.3K | ██░░░░░░ | ░ (Low sell volume) ◄STATUS► | BULL | ████████ | ████ (Orange background) ``` **Interpretation:** Strong buying, good for LONG trades ### Scenario 2: Distribution (Hidden Selling) ``` Table Shows: CVD► | 8.2K | ████░░░░ | ▒▒ (CVD flat) ◆DELTA | -1.5K | ████████ | ▼ (Negative delta) UP↑ | 0.8K | ███░░░░░ | ░ (Low buy volume) DN↓ | 2.3K | ████████ | ████ (High sell volume) ◄STATUS► | BEAR | ████████ | ░░░░ (Gray background) ``` **Interpretation:** Price may look stable, but selling increasing = Prepare for drop ### Scenario 3: Neutral/Choppy Market ``` Table Shows: CVD► | 5.1K | ████░░░░ | ▒ (CVD sideways) ◆DELTA | +0.2K | ██░░░░░░ | ─ (Small delta) UP↑ | 1.2K | ████░░░░ | ▒ (Medium buy) DN↓ | 1.0K | ████░░░░ | ▒ (Medium sell) ◄STATUS► | NEUT | ████░░░░ | ▒▒ (White background) ``` **Interpretation:** No clear direction = Stay out or reduce position size --- ## ⚠️ Common Mistakes to Avoid ### Mistake 1: Trading on CVD Alone - ❌ **Wrong:** "CVD is rising, I'll buy immediately" - ✅ **Right:** "CVD is rising, let me check price structure, support/resistance, and wait for confirmation" ### Mistake 2: Ignoring Delta - ❌ **Wrong:** Looking only at cumulative CVD - ✅ **Right:** Watch both CVD (trend) and Delta (momentum) - Delta shows **immediate** pressure changes ### Mistake 3: Wrong Timeframe - ❌ **Wrong:** Using 1m chart with High Precision (too slow) - ✅ **Right:** Match precision to timeframe: - 1m-5m → Low Precision - 15m-1h → Medium Precision - 4h+ → High Precision ### Mistake 4: Not Using Reset - ❌ **Wrong:** Using "None" reset for intraday trading - ✅ **Right:** Use "On Higher Timeframe" to see fresh CVD each session ### Mistake 5: Overtrading Neutral Status - ❌ **Wrong:** Forcing trades when STATUS = NEUT - ✅ **Right:** Only trade clear BULL or BEAR status ### Mistake 6: Ignoring Reference Asset - ❌ **Wrong:** Trading altcoin without checking BTC - ✅ **Right:** Always check if BTC CVD agrees with your asset --- ## 🔥 Pro Tips ### Tip 1: Multi-Timeframe Analysis - Check CVD on **3 timeframes**: - Lower TF (15m) = Entry timing - Current TF (1h) = Trade direction - Higher TF (4h) = Overall trend ### Tip 2: Volume Confirmation - Big price move + Small Delta = **Weak move** (likely reversal) - Small price move + Big Delta = **Strong accumulation** (continuation) ### Tip 3: CVD Reset Zones - Pay attention to **reset backgrounds** (light gray) - Often marks **session starts** = High volatility periods ### Tip 4: Divergence + Status - Bearish divergence + STATUS = BEAR = **Strongest short signal** - Bullish divergence + STATUS = BULL = **Strongest long signal** ### Tip 5: Color Psychology - **Orange** (Bullish) is **warm** = Buying energy - **Gray** (Bearish) is **cool** = Selling pressure - Train your eye to read colors instantly ### Tip 6: Table as Quick Scan - Glance at table without reading numbers: - **All orange** = Bullish - **All gray** = Bearish - **Mixed** = Wait --- ## 📱 Quick Reference Card | Signal | CVD | Delta | Status | Action | |--------|-----|-------|--------|--------| | **Strong Buy** | ▲▲ High | ++ Positive | BULL | Long Entry | | **Strong Sell** | ▼▼ Low | -- Negative | BEAR | Short Entry | | **Divergence Buy** | ▲ Rising | Price ▼ | → BULL | Long Setup | | **Divergence Sell** | ▼ Falling | Price ▲ | → BEAR | Short Setup | | **Neutral** | → Flat | ~0 Near Zero | NEUT | Stay Out | | **Accumulation** | → Flat | ++ Positive | NEUT→BULL | Watch for Breakout | | **Distribution** | → Flat | -- Negative | NEUT→BEAR | Watch for Breakdown | --- ## 🆘 Troubleshooting ### Issue: "Indicator not showing" - **Solution:** Make sure overlay=true in code, re-add to chart ### Issue: "Table overlaps with price" - **Solution:** Change table position in code or use TradingView's "Move" feature ### Issue: "CVD line too far from price" - **Solution:** This is normal! CVD is volume-based, not price-based. Focus on CVD direction, not position ### Issue: "Too many lines on chart" - **Solution:** Disable "Show Zone" and "Show Labels" in settings for cleaner view ### Issue: "Calculations too slow" - **Solution:** Change Precision to "Low (Fast)" or use higher timeframe ### Issue: "Reference asset not showing" - **Solution:** Check if "Enable" is ON and symbol is valid (e.g., BINANCE:BTCUSDT) --- ## 🎬 Getting Started Checklist - Install indicator on TradingView - Set precision to "Medium" - Set reset to "On Higher Timeframe" - Enable info table - Add reference asset (BTC) - Practice reading the table on demo account - Test on different timeframes (15m, 1h, 4h) - Compare CVD with your current strategy - Paper trade for 1 week before going live - Keep a trading journal of CVD signals --- ## 📚 Summary **CVD shows WHO is winning: Buyers or Sellers** **Key Points:** 1. **Orange/Rising CVD** = Buying pressure = Bullish 2. **Gray/Falling CVD** = Selling pressure = Bearish 3. **Delta** = Immediate momentum THIS BAR 4. **Status** = Overall market condition 5. **Always confirm** with price action & other indicators **Remember:** - CVD is a **tool**, not a crystal ball - Use with proper risk management - Practice makes perfect - Stay disciplined! --- **Created by: able** **Version:** iOS Style v1.0 **Contact:** For questions, refer to TradingView community Happy Trading! 🚀📈
אינדיקטור Pine Script®
מאת ‎Able-terminal‎