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BB Squeeze Screener 15MPurpose: Detects Bollinger Band squeeze conditions across symbols/timeframes for fast scanning in the TradingView Screener. Default timeframe = 15m, but can be duplicated for 1h / 4h / 1D columns. How it works: computes a normalized BB width, compares it to its SMA and flags when width falls below the configured threshold (squeeze ON). Output = 1 (squeeze) or 0 (no squeeze). Inputs: Timeframe, BB Length, SMA Length, Threshold. Use separate columns per timeframe for multi‑TF scanning. Usage: Publish the script, add it as a Screener column, then filter for =1 and combine with Vol 24h / Market Cap filters to reduce noise. Good workflow: Mode = 15m (intraday), 1h (swing), 4h/1D (higher‑TF confirmations). Notes: This is a volatility filter (not directional). Combine with momentum/volume filters or a breakout rule for entries. Backtest rules on your watchlist before live use. Disclaimer: Educational tool only — not financial advice. Use proper risk management.
אינדיקטור Pine Script®
מאת ‎Stericc‎
EURUSD Pre-London Open Range MarkerEURUSD Pre-London Open Range Marker This script marks the high and low formed in the pre-London open period on EURUSD, and extends those levels forward once London opens. It is intended as a neutral reference tool for traders who pay attention to time-based structure around the London session. What it does Automatically tracks London time, including daylight-saving changes Identifies the pre-London open range Plots the high and low of that range Extends those levels forward from the London open Displays the range size (pips) What it does not do No trade signals No alerts No entries, stops, or targets No performance claims This script provides structure only. Interpretation and execution are left to the user. Intended use This tool is for traders who: Trade EURUSD Care about London session behaviour Prefer simple, time-based reference levels over indicators Scope and design Hard-coded for EURUSD Pre-London open window is fixed and not user-configurable Built to prioritise consistency and repeatability over flexibility Additional context I use this pre-London range as part of a fully documented, rules-based EURUSD trading system focused on risk management and repeatable execution which I have traded for two years. The strategy itself is not included here. Disclaimer This script is provided for educational and reference purposes only. All trading involves risk. You are responsible for your own decisions. One-line link For those interested in how this range is used within a complete, rules-based EURUSD trading system, further documentation is available here:
אינדיקטור Pine Script®
מאת ‎ProcessFirst‎
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
Buy / Sell Volume + % (Classic + Pressure)Buy / Sell Volume % (Classic + Pressure) Overview Buy / Sell Volume (Classic + Pressure) is a volume decomposition and dominance indicator designed to help traders understand how trading volume is distributed between buying and selling pressure on each candle. Instead of treating volume as a single number, this indicator splits total volume into estimated Buy Volume and Sell Volume, visualizes them symmetrically, and summarizes dominance using a compact on-chart dashboard. The indicator is intended as a context and confirmation tool, not a trade signal generator. Core Concepts 1. Buy / Sell Volume Decomposition The indicator estimates buying and selling activity based on the position of the close within the candle’s high–low range: Closes near the high → more buying pressure Closes near the low → more selling pressure Middle closes → balanced activity This provides a clear visual view of demand vs supply on every bar. 2. Dual Calculation Modes 🔹 Classic Mode (Default) Uses pure candle-range logic Buy Volume + Sell Volume = Total Volume (exact conservation) No smoothing or directional bias Values closely match traditional volume behavior Best for: Structural analysis Accumulation / distribution studies Comparing against raw volume 🔹 Pressure Mode Introduces a directional bias: Bullish candles slightly favor buy volume Bearish candles slightly favor sell volume Optional EMA smoothing reduces noise Still volume-conserving (Buy + Sell = Total Volume) Best for: Identifying dominance Trend continuation confirmation Absorption vs initiative activity Visual Elements Volume Bars Buy Volume plotted above zero Sell Volume plotted below zero Optional Total Volume Envelope for context Color by Dominance Bright colors when one side dominates Faded colors when dominance is weak Helps instantly identify: Accumulation Distribution Absorption Dashboard (Optional) A compact dashboard displays: Buy % Sell % Dominance State BUY DOM SELL DOM BALANCED The dashboard can be toggled ON/OFF and switched between Normal and Compact size to suit multi-pane layouts. How to Use This Indicator This indicator works best as a confirmation layer, not a standalone system. Common Use Cases Confirming breakouts or breakdowns Spotting accumulation or distribution near key levels Identifying absorption during consolidations Filtering false price moves Examples Price rising + strong Buy % → constructive demand Price rising + strong Sell % → possible distribution Flat price + balanced volume → absorption / compression What This Indicator Is NOT ❌ Not true order-flow or bid/ask data ❌ Not a buy/sell signal generator ❌ Not predictive on its own All calculations are candle-based estimations, designed for context and insight, not execution timing. Best Use Works on all timeframes Most reliable on liquid instruments Especially useful when combined with: Support / resistance Trend structure Market regime or breadth indicators Summary Buy / Sell Volume (Classic + Pressure) helps traders go beyond raw volume by visualizing who is in control of each candle, how strong that control is, and whether volume behavior supports price action. Used correctly, it can significantly improve trade selectivity, confidence, and risk awareness.
אינדיקטור Pine Script®
מאת ‎vikram_bains‎
3VWMA MTF3VWMA MTF – IRONGAR plots three Volume Weighted Moving Averages (VWMA) on your chart, with multi-timeframe support. -It is designed to help traders identify trend direction, dynamic support & resistance, and volume-confirmed momentum across different timeframes — all in one clean indicator. -The indicator calculates three separate VWMAs: VWMA 7 (Green) – Short-term momentum VWMA 25 (Blue) – Medium-term trend VWMA 99 (Red) – Long-term structure -You can choose: Chart timeframe (default), or A custom higher/lower timeframe using the VWMA Timeframe input -Each VWMA is calculated on the selected timeframe and plotted on the current chart. A Volume Weighted Moving Average (VWMA) gives more weight to candles with higher trading volume. -Formula: VWMA = Σ(Price × Volume) / Σ(Volume) This means: High-volume moves have more influence Low-volume noise has less impact Best used in combination with price action and proper risk management. -Huge shoutout to my teacher @tradecitypro for all his time and effort. I'm so grateful! -Next, I will break down my strategy and show you how to apply it for yourself. simple and easy :))))
אינדיקטור Pine Script®
מאת ‎Irongar1‎
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
First Presented FVGSummary: First Presented FVG Indicator This is a Pine Script v6 TradingView indicator that identifies and visualizes the first Fair Value Gap (FVG) that forms within configurable time windows during a trading session. What it Does 1. Detects FVGs : Uses the classic 3-candle FVG definition: - Bullish FVG: When low > high (gap up) - Bearish FVG: When high < low (gap down) 2. "First Presented" Logic : For each configured time slot, it captures only the first qualifying FVG that forms—subsequent FVGs in that window are ignored. 3. Visual Display : - Draws a colored box spanning from detection time to session end - Optional text label showing detection time (e.g., "9:38 Tue FP FVG") - Optional grade lines at 25%, 50%, and 75% levels within the FVG Key Configuration Setting Description Timeframe Only works on 5-minute charts or lower Timezone IANA timezone for session times (default: America/New_York) Session Futures trading hours (default: 1800-1715) Min FVG Size Minimum gap size in ticks to qualify 4 Time Slots Each with enable toggle, time window, and color Default Time Slots Slot 1 (enabled): 09:30-10:30 — lime green Slot 2 (enabled): 13:30-14:30 — blue Slot 3 (disabled): 13:00-13:30 — teal Slot 4 (disabled): 14:15-14:45 — fuchsia Technical Features Handles cross-midnight sessions correctly Resets all drawings at each new session Skips the first bar of each window to ensure valid 3-candle lookback Clamps slot windows to session boundaries
אינדיקטור Pine Script®
מאת ‎RuntimeRascal‎
Multi-Timeframe High Low Marking LinesThis indicator automatically draws clean horizontal lines at the high and low of the previous 10 periods (adjustable) for four different timeframes simultaneously: Daily, Weekly, Monthly, and Quarterly. Perfect for marking key support/resistance levels across multiple timeframes on any chart. Key features: • Shows previous 10 highs and lows per timeframe (change to 5, 15, 20 etc. in settings) • Lines extend 20 bars to the right so they remain visible (adjustable) • Individual on/off switch for each timeframe • Clean blue lines, max 500 lines limit respected • Works perfectly on any chart timeframe (1-minute to monthly) • No repainting – lines only appear after the period has closed Use cases: Spot major daily/weekly/monthly support & resistance at a glance Trade breakouts and reversals with higher-timeframe confirmation Combine with your existing strategy (ICT, SMC, price action) Ideal for stocks, forex, crypto and futures Settings explained: Timeframe 1–4 → Choose any timeframe (D, W, M, 3M already preset) Show/Hide → Turn any timeframe on or off instantly Periods to show → How many previous highs/lows you want visible Extend lines → How far right each line continues (default 20 bars) Completely free to use. If you like it, please add to favorites and leave a comment – it helps other traders find it! Enjoy cleaner charts and stronger confluence. Happy trading!
אינדיקטור Pine Script®
מאת ‎varunpatel2355‎
Refined Liquidity Flow IndicatorRefined Liquidity Flow Indicator - How It Works The Refined Liquidity Flow Indicator is designed to help traders identify the flow of liquidity into and out of the market based on multiple technical factors. It combines price movement, market sentiment, volatility, and volume to give a comprehensive view of market conditions. The indicator gives buy and sell signals by calculating the flow of liquidity based on these factors. Key Components of the Indicator: Liquidity Flow Calculation: The core of the indicator is the liquidity flow calculation, which is based on several factors: Liquidity Flow=(V×ΔP)+(α×ATR)+(β×RSI)+(γ×ΔP) Where: 𝑉 is the volume (the amount of trading activity). ΔP is the price change (the difference between the current and previous closing price). ATR (Average True Range) is used to measure market volatility. RSI (Relative Strength Index) reflects market sentiment. 𝛼 𝛽 𝛾 are adjustable weights (parameters) that allow you to control how much influence each factor has on the liquidity flow calculation. Key Indicators: Volume (V): The amount of trades occurring in the market. A high volume indicates more activity, which is essential for confirming liquidity flow. Price Change (ΔP): The difference between the current price and the previous price, which helps assess the strength and direction of the market move. ATR (Average True Range): A measure of market volatility, indicating how much the price fluctuates over a specified period. A higher ATR suggests greater volatility, which often corresponds with a greater flow of liquidity. RSI (Relative Strength Index): A momentum oscillator that measures whether a market is overbought or oversold. The RSI can help determine whether the market sentiment is bullish or bearish. How to Use the Indicator: Set Up: After adding the Refined Liquidity Flow Indicator to your chart, you can adjust the following settings directly from the indicator's settings panel: α: Weight for volatility (ATR). β: Weight for market sentiment (RSI). γ: Weight for price change. ATR Length: Customize the period for the ATR. RSI Length: Customize the period for the RSI. SMA Length: Customize the period for the Simple Moving Average. Interpreting Signals: Green Signal (Liquidity In): Indicates that liquidity is entering the market. This often signals a potential buy opportunity when the price is moving upwards with strong volume and market sentiment. Red Signal (Liquidity Out): Indicates that liquidity is leaving the market. This typically signals a potential sell opportunity when the price is moving downwards with strong volume and market sentiment. Fine-Tuning for Your Strategy: By adjusting the weights and the lengths of the indicators, you can fine-tune the indicator to match your trading style. For example, if you want to give more weight to price movements, you can increase γ. If you want to focus more on market sentiment, adjust β.
אינדיקטור Pine Script®
מאת ‎khbajako1981‎
Multi Hourly ATP (Average Trade Price)"Multi-timeframe average trade price" analysis combines two concepts: using the Average Trade Price (ATP) as a benchmark and applying a multi-timeframe analysis (MTFA) trading strategy. The benefits stem from using the ATP for position management and MTFA for better-informed trading decisions. Benefits of Averaging the Trade Price Averaging the trade price (using methods like "averaging down" or "averaging up," or the Volume-Weighted Average Price - VWAP) helps investors manage their positions and costs. Better Cost Basis Assessment: The ATP provides a clear benchmark for your overall cost per share, including fees. This helps you understand your true breakeven point and accurately assess whether a position is currently profitable or at a loss. Risk Mitigation: In a falling market, buying more shares at a lower price (averaging down) reduces the average purchase price, which means the stock does not have to recover to its initial price for you to break even or make a profit. Profit Accumulation: In a rising market, buying more shares as the price increases (averaging up or pyramiding) allows you to accumulate more profits if the upward trend continues, increasing your overall position size in a winning trade. Emotional Discipline: By following a predefined averaging strategy, traders can reduce the impact of emotional decisions like panic selling or holding onto losing trades for too long. Managing Volatility: Averaging helps smooth out the impact of short-term price fluctuations on your overall portfolio performance, which is particularly useful in volatile markets.
אינדיקטור Pine Script®
מאת ‎akghuf19ag24‎
1
SMA vs Candle True CloudSMA vs Candle – Trend Cloud Indicator (Brief Note) This indicator compares price (candle source) with a long-period Hull Moving Average (SMA) to identify trend direction, momentum shifts, and regime changes. The SMA, being momentum-sensitive, reacts to changes in price speed, while price itself represents real-time market action. A dynamic two-way cloud is drawn between price and SMA: Green cloud when price is above SMA → bullish dominance and accumulation Red cloud when price is below SMA → bearish control and distribution The width of the cloud reflects the strength of momentum: Narrow cloud → compression / consolidation Expanding cloud → impulse move or trend acceleration This setup is especially effective on short timeframes with long SMA periods, where it filters noise while preserving early trend signals. Overall, the indicator acts as a visual trend-momentum framework, highlighting early warnings, trend confirmation, and exhaustion zones in a single view.
אינדיקטור Pine Script®
מאת ‎akghuf19ag24‎
1
MRX_M7 777//@version=5 indicator("MRX_M7 777 MTF ALERT (jgar)", overlay=true) // === SOZLAMALAR === tfInput = input.timeframe("15", "Qaysi TF") showZone = input.bool(true, "Zonani ko‘rsat / o‘chirish") zoneColor = color.new(color.lime, 75) // === MTF DATA (BITTA QATORDA!) === = request.security(syminfo.tickerid, tfInput, ) // === ENGULF === engulf = mtfHigh > mtfHigh and mtfLow < mtfLow // === ZONA === zoneHigh = mtfHigh zoneLow = mtfLow // === CHARTGA CHIZISH === if engulf and showZone box.new(bar_index - 1, zoneHigh, bar_index, zoneLow, bgcolor = zoneColor, border_color = color.lime) label.new(bar_index, zoneHigh, "ENGULF " + tfInput, style = label.style_label_down, textcolor = color.white, bgcolor = color.lime) // === ALERT === alertcondition(engulf, title="MTF ENGULF", message="ENGULF " + tfInput + " timeframe da sodir bo‘ldi")
אינדיקטור Pine Script®
מאת ‎M7_FX‎
High Volume Breakout DetectorThis indicator is a dedicated volume analysis tool displayed in a separate pane below the price chart. It visually highlights significant volume surges (spikes) by comparing the current bar's volume to a dynamic threshold based on a Simple Moving Average (SMA) of volume. Key Concepts and Methodology: - The core calculation uses a user-configurable Simple Moving Average (default: 20 periods) of historical volume to establish a baseline of "normal" trading activity. - A customizable multiplier (default: 1.50, meaning 150% of the SMA) defines the threshold for a volume spike. When the current bar's volume meets or exceeds this threshold, it is classified as a spike—indicating unusually high participation that often accompanies breakouts, reversals, climaxes, or institutional activity. - Volume bars are plotted as columns and colored based on two factors: - Candle direction: Green shades for bullish candles (close ≥ open), red shades for bearish candles (close < open). - Spike status: Brighter/solid colors for confirmed spikes, muted/translucent colors for normal volume. This candle-matched coloring helps traders quickly assess whether the surge supports buying pressure (green spike on up candle) or selling/distribution (red spike on down candle). - Optional overlays include the volume SMA line (blue) and the dynamic threshold line (orange, plotted as circles for easy distinction). Features and Customization: - Fully adjustable inputs: SMA length, multiplier threshold, colors for up/down/normal/spike bars, and toggles for showing the SMA line, threshold line, or background highlighting on spikes. - Built-in alert condition triggers reliably on volume spikes (≥ selected multiplier of SMA), with a constant message string including ticker, timeframe, volume value, and threshold reference. How to Use: - Add to any chart in a separate pane (overlay=false). - Look for brighter colored volume bars as potential signals of conviction in price moves. For example: - Green spikes on up candles may signal strong accumulation or breakout confirmation. - Red spikes on down candles may indicate distribution or exhaustion selling. - Combine with price action, support/resistance, or trend indicators for confluence. - Ideal for day trading, swing trading, or spotting volume climaxes on stocks, forex, crypto, or futures across any timeframe. The unique combination of candle-direction-matched coloring for spikes, visual threshold plotting, and focused spike highlighting provides clearer, more actionable insight into directional volume pressure compared to standard volume displays.
אינדיקטור Pine Script®
מאת ‎hmorganrrt‎
Trappp's Advanced Multi-Timeframe Trading ToolkitThis comprehensive trading script by Trappp provides a complete market analysis framework with multiple timeframe support and resistance levels. The indicator features: Key Levels: · Monthly (light blue dashed) and Weekly (gold dashed) levels for long-term context · Previous day high/low (yellow) with range display · Pivot-based support/resistance (pink dashed) · Premarket levels (blue) for pre-market activity Intraday Levels: · 1-minute opening candle (red) · 5-minute (white), 15-minute (green), and 30-minute (purple) session levels · All intraday levels extend right throughout the trading day Technical Features: · EMA 50/200 cross detection with alert labels · Candlestick pattern recognition near key levels · Smart proximity detection using ATR · Automatic daily/weekly/monthly updates Trappp's script is designed for traders who need immediate visual reference of critical price levels across multiple timeframes, helping identify potential breakouts, reversals, and pattern-based setups with clear, color-coded visuals for quick decision-making.
אינדיקטור Pine Script®
מאת ‎AntonioUA‎
Multiple SMAs-EMAs & CrossesMoving averages (MA) are the bedrock of trend analysis. Choosing between Simple (SMA) and Exponential (EMA) depends on whether you prioritize stability or speed.SMA vs. EMA: The Main DifferenceThe core difference lies in how they handle data. Simple Moving Average (SMA): Treats all days equally. A 50-day SMA averages the last 50 closing prices with no bias. It is smoother and less prone to "fake-outs," making it the gold standard for identifying long-term trends (e.g., the 200-day SMA). Exponential Moving Average (EMA): Places more weight on the most recent price data. It reacts much faster to sudden market shifts. Short-term traders (scalpers and day traders) prefer EMAs to catch trend changes early. The Crossover Strategy A crossover occurs when a "fast" (short-period) MA crosses a "slow" (long-period) MA. This signals a shift in market momentum. Golden Cross: Fast MA (e.g., 50) crosses above Slow MA (e.g., 200). Bullish: Indicates a potential long-term uptrend. Death Cross: Fast MA (e.g., 50) crosses below Slow MA (e.g., 200).Bearish: Indicates a potential long-term downtrend. Using Multiple Moving Averages, Traders often use a "ribbon" or a stack of three MAs to filter noise: Short-term (e.g., 9 or 20): Shows immediate price direction.Medium-term (e.g., 50): Acts as a trend filter and dynamic support/resistance. Long-term (e.g., 200): Defines the "big picture" macro trend.
אינדיקטור Pine Script®
מאת ‎mcpatnaik‎