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Multi Condition Stock Screener & Alert SystemMulti Condition Stock Screener & Strategy Builder This script is a comprehensive Stock Screener and Strategy Builder designed to scan predefined groups of stocks (specifically focused on BIST/Istanbul Stock Exchange symbols) or a custom list of symbols based on user-defined technical conditions. It allows users to combine multiple technical indicators to create complex entry or exit conditions without writing code. The script iterates through a list of symbols and triggers alerts when the conditions are met. Key Features • Custom Strategy Building: Users can define up to 6 separate conditions. • Logical Operators: Conditions can be linked using logical operators (AND / OR) to create flexible strategies. • Predefined Groups: Includes 14 groups of stocks (covering BIST symbols) for quick scanning. • Custom Scanner: Users can select the "SPECIAL" group to manually input up to 40 custom symbols to scan. • Directional Scanning: Capable of scanning for both Buy/Long and Sell/Short signals. • Alert Integration: Generates JSON-formatted alert messages suitable for webhook integrations (e.g., sending notifications to Telegram bots). Supported Indicators for Conditions The script utilizes built-in ta.* functions to calculate the following indicators: • MA (Moving Average): Supports EMA, SMA, RMA, and WMA. • RSI (Relative Strength Index) • CCI (Commodity Channel Index) • ATR (Average True Range) • BBW (Bollinger Bands Width) • ADX (Average Directional Index) • MFI (Money Flow Index) • MOM (Momentum) How it Works The script uses request.security() to fetch data for the selected group of symbols based on the current timeframe. It evaluates the user-defined logic (Condition 1 to 6) for each symbol. • Comparison Logic: You can compare an indicator against a value (e.g., RSI > 50 ) or against another indicator (e.g., MA1 CrossOver MA2 ). • Signal Generation: If the logical result is TRUE based on the "AND/OR" settings, a visual label is plotted on the chart, and an alert condition is triggered. Alert Configuration The script produces a JSON output containing the Ticker, Signal Type, Period, and Price. This is optimized for users who want to parse alerts programmatically or send them to external messaging apps via webhooks. Disclaimer This tool is for informational purposes only and does not constitute financial advice. Since it uses request.security across multiple symbols, please allow time for the script to load data on the chart.
אינדיקטור Pine Script®
מאת ‎only_fibonacci‎
3
RSI + Psy + ADXRSI + Psychological Line + ADX (with RCI-replacement logic) This custom TradingView indicator combines three major technical analysis tools—RSI, Psychological Line (Psy), and ADX—to help traders identify trend strength, market momentum, and overbought/oversold conditions with improved clarity. 1. Multi-Period RSI The indicator calculates three RSI values: Short-term RSI (9) Mid-term RSI (26) Long-term RSI (52) These help users observe short-, mid-, and long-term momentum simultaneously. Threshold lines are drawn at 70, 50, and 30 for standard RSI overbought/oversold analysis. 2. Psychological Line (Psy) with Dynamic Column Display The Psy indicator counts how many closes within the selected period (default: 12) were higher than the previous close. Values above 75 indicate overbought markets. Values below 25 indicate oversold markets. When Psy crosses these thresholds, it is displayed as a column chart centered at 50, visually expanding upward (overbought) or downward (oversold). 3. ADX Trend Strength with Color Coding ADX is calculated from DI+ and DI− values (using true range and directional movement). The ADX line changes color based on trend strength: Blue: Weak trend (below 20) Yellow: Moderate trend (20–30) Red: Strong trend (above 30) This helps traders easily recognize when the market transitions from low-volatility to strong-trend conditions.
אינדיקטור Pine Script®
מאת ‎masato19810122‎
Adaptive MACD PROAdaptive MACD PRO Highlights structural momentum changes using dynamic normalization of MACD and Signal. Phase Momentum Core Adds directional confirmation based on short-term phase behavior. Visual Output • MACD & Signal lines with trend-based coloring • Adaptive histogram reflecting momentum strength • Fixed-position Buy/Sell dots at predefined levels • AutoCalib dots on MACD_z threshold crossings • Optional HUD panel displaying calibration levels and MACD_z Features • Selectable MA types (EMA, SMA, KAMA) • Z-score normalization • ATR-based volatility weighting • Higher timeframe alignment • Auto-calibration with SAFE / AGGRESSIVE modes • Unified long/short triggers • Full bar-coloring control • Works on all assets and timeframes The full source code is visible and may be modified or extended. This script is intended for technical analysis and research only. This indicator is published as a free, open-source script with full visible code.
אינדיקטור Pine Script®
מאת ‎geokat‎
1M XAU Cumulative Delta Volume with OB Breakouts ### Overview This is a **session-based CVD strategy** built around the **00:00–07:00 CEST range**. It finds the high/low of that session, turns them into **adaptive ATR-based support (yellow)** and **resistance (purple)** zones, and trades only **CVD-confirmed reversals** off those levels. --- ### How it Works * For each day, the script: * Builds a 00:00–07:00 CEST **profile high/low**. * Creates a **support zone** around the session low and a **resistance zone** around the session high. * Using lower timeframe data, it reconstructs **Cumulative Volume Delta (CVD)** and a **recent delta** filter. * It arms “pending” states when price **enters a zone from the correct side**, then confirms: * **BUY (long):** price reclaims above support and recent CVD is strongly positive. * **SELL (short):** price rejects below resistance and recent CVD is strongly negative. Only these two CVD signals (`buySignal` / `sellSignal`) open trades. --- ### Strategy Logic * **Entries** * `buySignal` → open **long** (if flat). * `sellSignal` → open **short** (if flat). * No pyramiding; one position at a time. * **Exits (only TP & SL)** * Long: TP at `avg_price * (0.5 + TP%)`, SL at `avg_price * (1 – SL%)`. * Short: TP at `avg_price * (0.5 – TP%)`, SL at `avg_price * (1 + SL%)`. * No opposite-signal exits. --- ### Extras * **Reversal markers** on yellow/purple zones and **breakout/retest markers** are plotted for context and alerts but **do not trigger entries**. * Zone width and “thickening” are ATR-based so important touches and near-touches are easy to see. * Only suited for **1m intraday scalping** (e.g. XAU/USD), but can be tested on other markets/timeframes.
אסטרטגיית Pine Script®
מאת ‎FredAstaire‎
1
RSI Strategy [PrimeAutomation]⯁ OVERVIEW The RSI Strategy is a momentum-driven trading system built around the behavior of the Relative Strength Index (RSI). Instead of using traditional overbought/oversold zones, this strategy focuses on RSI breakouts with volatility-based trailing stops, adaptive profit-targets, and optional early-exit logic. It is designed to capture strong continuation moves after momentum shifts while protecting trades using ATR-based dynamic risk management. ⯁ CONCEPTS RSI Breakout Momentum: Entries happen when RSI breaks above/below custom thresholds, signaling a shift in momentum rather than mean reversion. Volatility-Adjusted Risk: ATR defines both stop-loss and profit-target distances, scaling positions based on market volatility. Dynamic Trailing Stop: The strategy maintains an adaptive trailing level that tightens as price moves in the trade’s favor. Single-Position System: Only one trade at a time (no pyramiding), maximizing clarity and simplifying execution. ⯁ KEY FEATURES RSI Signal Engine • Long when RSI crosses above Upper threshold • Short when RSI crosses below Lower threshold These levels are configurable and optimized for trend-momentum detection. ATR-Based Stop-Loss A custom ATR multiplier defines the initial stop. • Long stop = price – ATR × multiplier • Short stop = price + ATR × multiplier Stops adjust continuously using a trailing model. ATR-Based Take Profit (Optional) Profit targets scale with volatility. • Long TP = entry + ATR × TP-multiplier • Short TP = entry – ATR × TP-multiplier Users can disable TP and rely solely on trailing stops. Real-Time Trailing Logic The stop updates bar-by-bar: • In a long trade → stop moves upward only • In a short trade → stop moves downward only This keeps the stop tight as trends develop. Early Exit Module (Optional) After X bars in a trade, opposite RSI signals trigger exit. This reduces holding time during weak follow-through phases. Full Visual Layer • RSI plotted with threshold fills • Entry/TP/Stop visual lines • Color-coded zones for clarity ⯁ HOW TO USE Look for RSI Breakouts: Focus on RSI crossing above the upper boundary (long) or below the lower boundary (short). These moments identify fresh momentum surges. Use ATR Levels to Manage Risk: Because stops and targets scale with volatility, the strategy adapts well to both quiet and explosive market phases. Monitor Trailing Stops for Trend Continuation: The trailing stop is the primary driver of exits—often outperforming fixed targets by catching larger runs. Use on Liquid Markets & Mid-Higher Timeframes: The system performs best where RSI and ATR signals are clean—crypto majors, FX, and indices. ⯁ CONCLUSION The RSI Strategy is a modern RSI breakout system enhanced with volatility-adaptive risk management and flexible exit logic. It is designed for traders who prefer momentum confirmation over mean reversion, offering a disciplined framework with robust protections and dynamic trend-following capability. Its blend of ATR-based stops, optional profit targets, and RSI-driven entries makes it a reliable strategy across a wide range of market conditions.
אסטרטגיית Pine Script®
מאת ‎ChartPrime‎
5
Global Macro IndexGlobal Macro Index The Global Macro Index is a comprehensive economic sentiment indicator that aggregates 23 real-time macroeconomic data points from the world's largest economies (US, EU, China, Japan, Taiwan). It provides a single normalized score that reflects the overall health and momentum of the global economy, helping traders identify macro trends that drive asset prices. ⚠️ Important: Timeframe Settings This indicator is designed exclusively for the 1W (weekly) timeframe. The indicator is hardcoded to pull weekly data and will not function correctly on other timeframes. What It Measures The indicator tracks normalized Trend Power Index (TPI) values across multiple economic categories: United States (7 components) Business Confidence Index (BCOI) - Business sentiment and outlook Composite Leading Indicator (CLI) - Forward-looking economic indicators Consumer Confidence Index (CCI) - Consumer sentiment and spending intentions Terms of Trade (TOT) - Import/export price relationships Manufacturing Composite - Combines business confidence, production, and new orders Comprehensive Economic Composite - Broad aggregation including employment, business activity, and regional indicators Business Inventory (BI) - Stock levels and supply chain health European Union (10 components) Sentiment Survey (SS) - Overall economic sentiment Business Confidence Index - EU business outlook Economic Sentiment Indicator (ESI) - Combined confidence metrics Manufacturing Production (MPRYY) - Industrial output year-over-year New Orders - Germany, France, Netherlands, Spain manufacturing orders Composite Leading Indicators - Germany, France forward-looking metrics Business Climate Index (BCLI) - France business conditions Asia (6 components) New Orders - China, Japan, Taiwan manufacturing demand Composite Leading Indicators - China, Japan economic momentum The Formula The indicator calculates a weighted average of normalized TPI scores: Global Macro Index = (1/23) × Σ Each of the 23 economic indicators is: Converted to a Trend Power Index (TPI) using 4-day Bitcoin normalization Weighted equally (1/23 ≈ 4.35% each) Summed and smoothed with a 1-period SMA The result is a single oscillator that ranges typically between -1 and +1, with extreme readings beyond ±0.6. Z-Score Signal System The indicator includes an optional Z-Score overlay that identifies extreme macro conditions: Calculation: Z-Score = (Current Value - 50-period Mean) / Standard Deviation Smoothed with 35-period Hull Moving Average Inverted for intuitive interpretation Signals: Green background (Z-Score ≥ 2) = Extremely positive macro conditions, potential overbought Red background (Z-Score ≤ -2) = Extremely negative macro conditions, potential oversold These extreme readings occur approximately 5% of the time statistically How to Use It Interpreting the Main Plot (Red Line): Above 0 = Positive macro momentum, risk-on environment Below 0 = Negative macro momentum, risk-off environment Above +0.6 = Strong expansion, bullish for equities and crypto Below -0.6 = Severe contraction, bearish conditions Trend direction = More important than absolute level Z-Score Signals: Z ≥ 2 (Green) = Macro sentiment extremely positive, consider taking profits or preparing for pullback Z ≤ -2 (Red) = Macro sentiment extremely negative, potential buying opportunity for contrarians Works best as a regime filter, not precise timing tool Best Practices: Use as a macro regime filter for other strategies Combines well with liquidity indicators and price action Leading indicator for risk assets (equities, Bitcoin, emerging markets) Lagging indicator - confirms macro trends rather than predicting reversals Watch for divergences: price making new highs while macro weakens (bearish) or vice versa (bullish) Settings Show Zscore Signals: Toggle green/red background shading for extreme readings Overlay Zscore Signals: Display Z-Score signals on the price chart as well as the indicator panel Reference Lines 0 (gray) = Neutral macro conditions +0.6 (green) = Strong positive threshold -0.6 (red) = Strong negative threshold Data Sources Real-time economic data from TradingView's ECONOMICS database, including: OECD leading indicators Manufacturing PMIs and new orders Consumer and business confidence surveys Trade and inventory metrics Regional economic sentiment indices Notes This is a macro trend indicator, not a day-trading tool. Economic data updates weekly and reflects the aggregate health of global growth. Best used on weekly timeframes to identify favorable or unfavorable macro regimes for risk asset allocation. The indicator distills complex global economic data into a single actionable score, answering: "Is the global economy expanding or contracting right now?"
אינדיקטור Pine Script®
מאת ‎Unicorpus‎
Debt-Cycle vs Bitcoin-CycleDebt-Cycle vs Bitcoin-Cycle Indicator The Debt-Cycle vs Bitcoin-Cycle indicator is a macro-economic analysis tool that compares traditional financial market cycles (debt/credit cycles) against Bitcoin market cycles. It uses Z-score normalization to track the relative positioning of global financial conditions versus cryptocurrency market sentiment, helping identify potential turning points and divergences between traditional finance and digital assets. Key Features Dual-Cycle Analysis: Simultaneously tracks traditional financial cycles and Bitcoin-specific cycles Z-Score Normalization: Standardizes diverse data sources for meaningful comparison Multi-Asset Coverage: Analyzes currencies, commodities, bonds, monetary aggregates, and on-chain metrics Divergence Detection: Identifies when Bitcoin cycles move independently from traditional finance 21-Day Timeframe: Optimized for Long-term cycle analysis What It Measures Finance-Cycle (White Line) Tracks traditional financial market health through: Currencies: USD strength (DXY), global currency weights (USDWCU, EURWCU) Commodities: Oil, gold, natural gas, agricultural products, and Bitcoin price Corporate Bonds: Investment-grade spreads, high-yield spreads, credit conditions Monetary Aggregates: M2 money supply, foreign exchange reserves (weighted by currency) Treasury Bonds: Yield curve (2Y/10Y, 3M/10Y), term premiums, long-term rates Bitcoin-Cycle (Orange Line) Tracks Bitcoin market positioning through: On-Chain Metrics: MVRV Ratio (Market Value to Realized Value) NUPL (Net Unrealized Profit/Loss) Profit/Loss Address Distribution Technical Indicators: Bitcoin price Z-score Moving average deviation Relative Strength: ETH/BTC ratio (altcoin strength indicator) Visual Elements White Line: Finance-Cycle indicator (positive = expansionary conditions, negative = contractionary) Orange Line: Bitcoin-Cycle indicator (positive = bullish positioning, negative = bearish) Zero Line: Neutral reference point Interpretation Cycle Alignment Both positive: Risk-on environment, favorable for crypto Both negative: Risk-off environment, caution warranted Divergence: Potential opportunities or warning signals Divergence Signals Finance positive, Bitcoin negative: Bitcoin may be undervalued relative to macro conditions Finance negative, Bitcoin positive: Bitcoin may be overextended or decoupling from traditional finance Important Limitations This indicator uses some technical and macro data but still has significant gaps: ⚠️ Limited monetary data - missing: Funding rates (repo, overnight markets) Comprehensive bond spread analysis Collateral velocity and quality metrics Central bank balance sheet details ⚠️ Basic economic coverage - missing: GDP growth rates Inflation expectations Employment data Manufacturing indices Consumer confidence ⚠️ Simplified on-chain analysis - missing: Exchange flow data Whale wallet movements Mining difficulty adjustments Hash rate trends Network fee dynamics ⚠️ No sentiment data - missing: Fear & Greed Index Options positioning Futures open interest Social media sentiment The indicator provides a high-level cycle comparison but should be combined with comprehensive fundamental analysis, detailed on-chain research, and proper risk management. Settings Offset: Adjust the horizontal positioning of the indicators (default: 0) Timeframe: Fixed at 21 days for optimal cycle detection Use Cases Macro-crypto correlation analysis: Understand when Bitcoin moves with or against traditional markets Cycle timing: Identify potential tops and bottoms in both cycles Risk assessment: Gauge overall market conditions across asset classes Divergence trading: Spot opportunities when cycles diverge significantly Portfolio allocation: Balance traditional and crypto assets based on cycle positioning Technical Notes Uses Z-score normalization with varying lookback periods (40-60 bars) Applies HMA (Hull Moving Average) smoothing to reduce noise Asymmetric multipliers for upside/downside movements in certain metrics Requires access to FRED economic data, Glassnode, CoinMetrics, and IntoTheBlock feeds 21-day timeframe optimized for cycle analysis Strategy Applications This indicator is particularly useful for: Cross-asset allocation - Decide between traditional finance and crypto exposure Cycle positioning - Identify where we are in credit/debt cycles vs. Bitcoin cycles Regime changes - Detect shifts in market leadership and correlation patterns Risk management - Reduce exposure when both cycles turn negative Disclaimer: This indicator is a cycle analysis tool and should not be used as the sole basis for investment decisions. It has limited coverage of monetary conditions, economic fundamentals, and on-chain metrics. The indicator provides directional insight but cannot predict exact timing or magnitude of market moves. Always conduct thorough research, consider multiple data sources, and maintain proper risk management in all investment decisions.
אינדיקטור Pine Script®
מאת ‎Unicorpus‎
Smart RSI Composite [DotGain]Summary Do you want to know the "True Direction" of the market without getting distracted by noise on a single timeframe? The Smart RSI Composite simplifies market analysis by aggregating momentum data from 10 different timeframes (5m to 12M) into a single, easy-to-read Histogram. Instead of looking at 10 separate charts or dots, this indicator calculates the Average RSI of the entire market structure. It answers one simple question: "Is the market predominantly Bullish or Bearish right now?" ⚙️ Core Components and Logic This indicator works like a consensus mechanism for momentum: Data Aggregation: It pulls RSI values from 10 customizable slots (Default: 5m, 15m, 1h, 4h, 1D, 1W, 1M, 3M, 6M, 12M). All slots are enabled by default. Smart Averaging: It calculates the arithmetic mean of all active timeframes. If the 5m chart is bearish but the Monthly chart is bullish, this indicator balances them out to show you the net result. Histogram Visualization: The result is plotted as a histogram centered around the 50-line (Neutral). 🚦 How to Read the Histogram The histogram bars indicate the aggregate strength of the trend based on the Average RSI: 🟩 DARK GREEN (Strong Bullish) Condition: Average RSI > 60. Meaning: The market is in a strong uptrend across most timeframes. Momentum is firmly on the buyers' side. 🟢 LIGHT GREEN (Weak Bullish) Condition: Average RSI between 50 and 60. Meaning: Slight bullish bias. The bulls are in control, but momentum is not yet extreme. 🔴 LIGHT RED (Weak Bearish) Condition: Average RSI between 40 and 50. Meaning: Slight bearish bias. The bears are taking control. 🟥 DARK RED (Strong Bearish) Condition: Average RSI < 40. Meaning: The market is in a strong downtrend across most timeframes. Momentum is firmly on the sellers' side. Visual Elements Center Line (50): This acts as the Zero-Line. Above 50 is bullish, below 50 is bearish. Zone Lines (30/70): Dashed lines indicate the traditional Overbought/Oversold levels applied to the aggregate average. Key Benefit The Smart RSI Composite acts as a powerful Macro Trend Filter . Pro Tip: Never go long if the Histogram is Dark Red, and avoid shorting when it is Dark Green. Use this tool to align your trades with the overall market momentum. Have fun :) Disclaimer This "Smart RSI Composite" indicator is provided for informational and educational purposes only. It does not, and should not be construed as, financial, investment, or trading advice. The signals generated by this tool (both "Buy" and "Sell" indications) are the result of a specific set of algorithmic conditions. They are not a direct recommendation to buy or sell any asset. All trading and investing in financial markets involves substantial risk of loss. You can lose all of your invested capital. Past performance is not indicative of future results. The signals generated may produce false or losing trades. The creator (© DotGain) assumes no liability for any financial losses or damages you may incur as a result of using this indicator. You are solely responsible for your own trading and investment decisions. Always conduct your own research (DYOR) and consider your personal risk tolerance before making any trades.
אינדיקטור Pine Script®
מאת ‎DotGain‎
Smart RSI MTF Matrix [DotGain]Summary Are you tired of trading trend signals, only to miss the bigger picture because you are focused on a single timeframe? The Smart RSI MTF Matrix is the ultimate "Cockpit View" for momentum traders. Unlike chart overlays that can sometimes clutter your price action, this indicator organizes RSI conditions across 10 different timeframes simultaneously into a clean, separate Heatmap pane. It monitors everything from the 5-minute chart all the way up to the 12-Month view , giving you a complete X-ray vision of the market's momentum structure instantly. ⚙️ Core Components and Logic The Smart RSI MTF Matrix relies on a sophisticated hierarchy to deliver clear, actionable context: Multi-Timeframe Engine: The script runs 10 independent RSI calculations in the background, organized in rows from bottom (Short Term) to top (Long Term). Classic RSI Thresholds: Overbought (> 70): Indicates price may be extended to the upside. Oversold (< 30): Indicates price may be extended to the downside. Smart Visibility System (The "Secret Sauce"): Not all signals are equal. A 5-minute signal is "noise" compared to a Yearly signal. This indicator automatically applies Transparency to differentiate importance. The visibility increases by 10% for each higher timeframe slot (Row). 🚦 How to Read the Matrix The indicator plots dots in 10 stacked rows. The position and opacity tell you the direction and significance: 🟥 RED DOTS (Overbought Condition) Trigger: RSI is above 70 on that specific timeframe. Meaning: Potential bearish reversal or pullback. 🟩 GREEN DOTS (Oversold Condition) Trigger: RSI is below 30 on that specific timeframe. Meaning: Potential bullish reversal or bounce. ⚪ GRAY DOTS (Neutral) Trigger: RSI is between 30 and 70. Meaning: No extreme momentum present. 👻 TRANSPARENCY (Signal Strength) The visibility of the dot tells you exactly which Timeframe (Row) is triggered. The higher the row, the more solid the color: Faint (10-30% Visibility): Rows 1-3 (5m, 15m, 1h). Used for scalping entries. Medium (40-60% Visibility): Rows 4-6 (4h, 1D, 1W). Used for swing trading context. Solid (70-100% Visibility): Rows 7-10 (1M, 3M, 6M, 12M). Used for identifying major macro cycles. Visual Elements Structure: Row 1 (Bottom) represents the 5-minute timeframe. Row 10 (Top) represents the 12-Month timeframe. Vertical Alignment: If you see a vertical column of Red or Green dots, it indicates Multi-Timeframe Confluence —a highly probable reversal point. Key Benefit The goal of the Smart RSI MTF Matrix is to keep your main chart clean while providing maximum information. You can instantly see if a short-term pullback (Faint Green Dot) is happening within a long-term uptrend (Solid Gray/Red Dot), allowing for precision entries. Have fun :) Disclaimer This "Smart RSI MTF Matrix" indicator is provided for informational and educational purposes only. It does not, and should not be construed as, financial, investment, or trading advice. The signals generated by this tool (both "Buy" and "Sell" indications) are the result of a specific set of algorithmic conditions. They are not a direct recommendation to buy or sell any asset. All trading and investing in financial markets involves substantial risk of loss. You can lose all of your invested capital. Past performance is not indicative of future results. The signals generated may produce false or losing trades. The creator (© DotGain) assumes no liability for any financial losses or damages you may incur as a result of using this indicator. You are solely responsible for your own trading and investment decisions. Always conduct your own research (DYOR) and consider your personal risk tolerance before making any trades.
אינדיקטור Pine Script®
מאת ‎DotGain‎
[CT] Kurutoga MTF HistogramWhat is Kurutoga MTF Histogram? The Kurutoga MTF Histogram is a multi-time-frame momentum and mean-deviation tool. It measures how far the current close is trading away from a rolling midpoint of price and then displays that deviation as a color-coded histogram. Instead of looking only at one lookback, this version plots three Kurutoga “leads” at the same time: Kurutoga Lead (x1) – base length Kurutoga Lead 2x – slower, 2 × base length Kurutoga Lead 4x – slowest, 4 × base length Each lead is calculated both on the chart’s timeframe (LTF) and on a Higher Time Frame (HTF) of your choice, so you can see short-term deviation inside a higher-time-frame structure. 4-color Kurutoga scheme Each Kurutoga lead uses a 4-color MACD-style scheme: For a given lead: Up Light – divergence ≥ 0 and rising compared to the previous bar Up Dark – divergence ≥ 0 and falling (positive but losing momentum) Down Light – divergence < 0 and falling (bearish momentum increasing) Down Dark – divergence < 0 and rising (negative but contracting) By default the same four teal / red hues are shared across x1, x2, and x4. The only difference between the leads is transparency: x1 = strongest (least transparent) x2 = medium opacity x4 = faintest This lets you see all three layers at once without the chart becoming a solid block of color. The HTF areas use the same palette but with an extra transparency offset applied, so they appear as soft background bands rather than competing with the histograms. Inputs and how to use them 1. Base Length Defines the lookback for the main Kurutoga Lead. The script automatically creates: len1 = baseLength len2 = baseLength × 2 len3 = baseLength × 4 Smaller base lengths → faster, more reactive histograms. Larger base lengths → smoother, trend-focused behavior. 2. Higher Time Frame This is the HTF used for the area plots and HTF midpoints. Examples: 5-minute chart with HTF = 30 or 60 minutes 15-minute chart with HTF = 4H or 1D The idea is to trade on the lower timeframe while seeing how far price is stretched relative to a higher-time-frame range midpoint. 3. Show / Hide toggles Under “Show / Hide” you can independently turn on/off: Kurutoga Lead (x1) Kurutoga Lead 2x Kurutoga Lead 4x HTF Lead, HTF Lead 2x, HTF Lead 4x This lets you: Run only a single Kurutoga if you want a clean panel, or Stack multiple leads for a “multi-speed” view of extension and mean reversion. 4. Color Scheme (4-color Kurutoga) Up Light / Up Dark / Down Light / Down Dark – base hues used for every lead. Lead opacity (x1, 2x, 4x) – sets how strong or faint each lead appears. x1 is usually your primary “trading speed.” x2 and x4 can be faded so they act as context. Extra transparency for HTF areas – additional opacity applied on top of each lead’s opacity when drawing HTF areas. This keeps the HTF layer subtle. You can fine-tune the exact teal/red values here to match your personal palette. Practical reading & trade ideas Trend alignment When all three Kurutoga leads (x1, 2x, 4x) are above zero, price is trading above its rolling mid-range on multiple speeds → bullish environment. When all three are below zero, you have a multi-speed bearish environment. Mixed readings (e.g., x1 above zero, x4 below zero) can signal transition or mean-reversion areas. Momentum vs exhaustion Up Light / Down Light (light colors) show momentum expanding in that direction. Up Dark / Down Dark (dark colors) show momentum contracting – price still on that side of zero, but the push is weakening. After a run of Up Light bars, a shift to Up Dark may hint at a stall or pullback. After a run of Down Light bars, a shift to Down Dark may hint at short covering / bounce potential. Multi-time-frame confluence Use the HTF areas as a backdrop: If LTF Kurutoga leads are above zero while the HTF area is also positive (and ideally expanding), that’s strong bullish alignment. If LTF leads are trying to flip up while HTF divergence is still deeply negative, you may be looking at a counter-trend bounce rather than a true trend change. Example setups Trend-following entries: Look for x2 & x4 leads on the same side of zero as the HTF area, then use x1 color shifts (from Down Dark → Up Light or vice versa) to fine-tune entries in the direction of that higher-time-frame bias. Mean-reversion fades: Watch for extreme Kurutoga values where x1/x2 are strongly extended beyond zero while color flips from Light to Dark (momentum stalling) against an opposing HTF backdrop . Notes The indicator is non-directional by itself – it measures distance from a rolling midpoint rather than trend structure or order flow. It works best when combined with your existing price action/trend tools (moving averages, HLBO, structure zones, etc.). Because HTF values are brought down via request.security, choose HTF settings that make sense for your product and session (for example, don’t use very high HTFs on thin intraday markets). Use the Kurutoga MTF Histogram as a visual scanner for extension, momentum regime, and multi-speed alignment, then layer your own entry/exit rules on top.
אינדיקטור Pine Script®
מאת ‎ChaosTrader63‎
Predictive Analysis Engine — Adaptive MACD Forecasting with R² SProfessional and Rule-Compliant Description (Ready for Publishing) This description explains every component of the script in detail, highlights its originality, and provides traders with clear usage instructions — exactly what TradingView expects. Predictive Analysis Engine (PAE) This script is a predictive analysis model that combines trend filtering, linear forecasting, stability analysis (R²), and outlier filtering using ATR to produce an advanced, leading-style version of MACD rather than a traditional lagging one. The indicator does not rely on random elements; it is built on four core components that work together: 1. Stability Measurement Using R² The coefficient of determination (R²) is calculated based on the correlation between price and time, then normalized to a 0–1 scale. A higher R² indicates more stable price movement, allowing the script to increase forecast accuracy. Here, R² acts as a primary component of the Confidence Filter. 2. Forecasted Price Using Linear Regression Instead of relying solely on the current price, the script uses: Linear Regression Weighted blending between the forecasted price and actual price This enables the script to build a Leading MACD based on an “advanced” price that anticipates probable movement. 3. Advanced MACD With Adaptive Smoothing MACD is applied to the blended (real + forecasted) price using: Fast EMA Slow EMA MACD base Optional TEMA for reducing signal lag Adjustable histogram smoothing This process makes MACD more responsive with significantly less lag, reacting faster to predicted movements. 4. Predictive MACD (Projected MACD) Linear Regression is applied again — but this time to: MACD Signal Histogram to generate projected versions of each line (proj_macd, proj_signal), while proj_hist is used to produce early signals before the actual crossover occurs. 5. Volatility Filtering Using ATR & Volatility Ratio ATR is used to evaluate: Strength of movement Overextension levels Signal quality ATR is combined with R² to compute: Confidence = R² × Volatility Ratio This suppresses weak signals and boosts high-quality, reliable ones. 6. Predictive Signals + Safety Filters A signal is triggered when: proj_hist crosses the 0 level Confidence exceeds the required threshold The real histogram is not excessively stretched (extra safety) The script includes: BUY / SELL BUY_STRONG / SELL_STRONG based on the smoothed histogram trend. 7. Coloring, Background & Visual Enhancements The script colors: The histogram Chart background Signal lines to clearly highlight momentum direction and confidence conditions. 8. Built-In Alerts The script provides ready-to-use alerts: BUY Alert SELL Alert Both based on the predictive MACD model. How to Use the Script Add it to any timeframe and any market. BUY/SELL signals are generated from the projected histogram crossover. Higher Confidence = stronger signal. Background colors help visualize trend transitions instantly. Recommended to combine with support/resistance or price action. Indicator Objective This script is designed to deliver early insight into momentum shifts using a blend of: Linear forecasting Trend stability via R² Signal quality filtering via ATR A fast and adaptive advanced MACD
אינדיקטור Pine Script®
מאת ‎oqba‎
Smart RSI MTF [DotGain]Summary Are you tired of constantly switching between timeframes to check the RSI, only to miss the bigger picture? The Smart RSI MTF (Multi-Timeframe) is designed to solve this exact problem. It is a streamlined chart overlay that monitors RSI conditions across up to 10 different timeframes simultaneously —from the 1-minute chart all the way up to the Monthly view. This indicator removes the need for multiple open tabs and declutters your analysis by plotting signals directly on your main chart using a smart "visual hierarchy" system based on transparency. ⚙️ Core Components and Logic The Smart RSI MTF relies on a sophisticated 3-layer logic to deliver clear, actionable context: Multi-Timeframe Engine: The script runs 10 independent RSI calculations in the background. It checks standard intervals (5m, 15m, 1h, 4h, Daily, Weekly, Monthly) to ensure you never miss a momentum extreme on any scale. Classic RSI Thresholds: Overbought (> 70): Indicates price may be extended to the upside. Oversold (< 30): Indicates price may be extended to the downside. Smart Visibility System (The "Secret Sauce"): Not all signals are equal. A 5-minute Overbought signal is "noise" compared to a Weekly Overbought signal. This indicator automatically applies Transparency to differentiate importance: Minutes = High Transparency (Faint). Hours = Medium Transparency. Days/Weeks/Months = No Transparency (Solid/Bold). 🚦 How to Read the Indicator The indicator plots shapes (Labels by default) directly above or below the candles. The appearance tells you the direction and the timeframe significance: 🟥 RED SIGNALS (Overbought Condition) Trigger: RSI is above 70 on a specific timeframe. Location: Placed above the candle bar. Meaning: Potential bearish reversal or pullback. 🟩 GREEN SIGNALS (Oversold Condition) Trigger: RSI is below 30 on a specific timeframe. Location: Placed below the candle bar. Meaning: Potential bullish reversal or bounce. 👻 TRANSPARENCY (Signal Strength) Faint/Ghostly: The signal comes from a lower timeframe (e.g., 5m, 15m). Use for scalping or entry timing. Solid/Bright: The signal comes from a major timeframe (e.g., Daily, Weekly). Use for swing trading and identifying major market turns. Visual Elements Symbol Shapes: Fully customizable (Label, Diamond, Circle, Triangle, etc.) via settings. Stacking: If multiple timeframes trigger at once, symbols will overlay, creating a visually denser and darker color, indicating Confluence . Key Benefit The goal of the Smart RSI MTF is to help traders instantly spot Confluence . When you see a faint short-term signal align with a solid long-term signal, you have identified a high-probability reversal zone without leaving your chart. Have fun :) Disclaimer This "Smart RSI MTF" indicator is provided for informational and educational purposes only. It does not, and should not be construed as, financial, investment, or trading advice. The signals generated by this tool (both "Buy" and "Sell" indications) are the result of a specific set of algorithmic conditions. They are not a direct recommendation to buy or sell any asset. All trading and investing in financial markets involves substantial risk of loss. You can lose all of your invested capital. Past performance is not indicative of future results. The signals generated may produce false or losing trades. The creator (© DotGain) assumes no liability for any financial losses or damages you may incur as a result of using this indicator. You are solely responsible for your own trading and investment decisions. Always conduct your own research (DYOR) and consider your personal risk tolerance before making any trades.
אינדיקטור Pine Script®
מאת ‎DotGain‎
RSI Regime & Reversals (Leading) — Bull/Bear Trend Finder📈 RSI Regime & Reversals (Leading) — Bull/Bear Trend Finder This advanced RSI-based tool helps identify bullish and bearish market trends before they happen — combining classic RSI analysis with Cardwell-style reversals and range shift detection to act as a leading indicator rather than a lagging one. 🧠 Core Concept The script detects when RSI behavior “shifts ranges,” a signature of trend changes: • Bull Regime — RSI pullbacks hold above ~40 (momentum stays strong) • Bear Regime — RSI rallies stall below ~60 (momentum weakens) It then looks for leading clues inside those regimes: • ✅ Positive Reversal: Price makes a higher low while RSI makes a lower low — a bullish continuation or early trend reversal signal. • ❌ Negative Reversal: Price makes a lower high while RSI makes a higher high — an early warning of weakness. • 🔁 Classic Divergences: Confirms reversals when RSI and price diverge at pivot points. 🎯 Signals • Green “▲ Bull lead” — bullish reversal or divergence detected. • Red “▼ Bear lead” — bearish reversal or divergence detected. • Optional background shading: • 🟩 Teal = Bullish regime • 🟥 Red = Bearish regime ⚙️ Customization • Regime sensitivity — Adjust RSI floor/ceiling for your asset’s volatility. • Pivot sensitivity — Tune pivot lookback (L/R bars) for faster or slower signals. • RSI smoothing — Filters noise without losing responsiveness. • Alerts included — Trigger TradingView alerts for bullish or bearish leading signals. 🕵️‍♂️ Why it’s different Unlike standard RSI divergences (which confirm after the move), this indicator uses positive/negative reversals to identify potential trend shifts early — a technique favored by Andrew Cardwell’s RSI analysis. 📊 Works great for: • Swing trading and trend detection • Spotting momentum regime shifts • Stocks, crypto, FX, indices
אינדיקטור Pine Script®
מאת ‎johnathan_m_sabert‎
Nuh's Stochastic + Structure 1.0Nuh's Stochastic + Structure 1.0 is an advanced momentum–structure fusion indicator designed to identify high-probability reversal and continuation zones using a multi-layer confirmation engine. The script combines enhanced Stochastic analysis, market structure detection (HH/HL/LH/LL), divergence tracking, volume spikes, higher-timeframe trend alignment, and extreme-duration filters to deliver highly reliable buy/sell signals. Each signal is dynamically scored for strength, and a compact one-line trend panel provides real-time market state at a glance. Colors and visual elements follow a clear and intuitive hierarchy optimized for fast decision-making. Ideal for crypto, indices, and forex traders who want precision entries with minimal noise.
אינדיקטור Pine Script®
מאת ‎nuhkoc1960‎
Order Flow AnalysisOrder Flow Pressure Suite — Wick, Volume & Absorption-Based Pressure Map This indicator builds a composite buying/selling pressure score from candle structure, volume behavior, and absorption signals. It is designed to infer the “intent” behind price moves by looking at how candles form, where they close, and how volume behaves — even without access to true bid/ask or footprint data. Core Concepts Wick-to-Body Analysis The script evaluates the ratio of upper and lower wicks to the total candle range. Strong wicks with relatively small bodies are treated as rejections : Long upper wick → potential selling pressure / rejection of higher prices Long lower wick → potential buying pressure / rejection of lower prices Close Position Analysis The close is normalized within the candle range: Close near the high → bullish pressure Close near the low → bearish pressure Close near the middle → more neutral , context taken from wicks and volume Volume Delta Estimation Since true bid/ask data is not available on standard charts, the script estimates “volume delta” by distributing total volume between buyers and sellers based on candle characteristics: Bull candles receive more “buying volume,” weighted toward closes near the high Bear candles receive more “selling volume,” weighted toward closes near the low This is an approximation of order flow, not a direct time & sales feed. Absorption Detection The script looks for candles where volume is high but price movement is relatively small . This combination often suggests: Bullish absorption → buyers absorbing aggressive selling (potential accumulation) Bearish absorption → sellers absorbing aggressive buying (potential distribution) Absorption zones are tracked over a configurable lookback and can be shaded in the background. Composite Pressure Oscillator All the above components (wicks, close position, heuristic volume delta, absorption bias) are blended into a single pressure score : Values > 0 → net buying pressure Values < 0 → net selling pressure The raw score is smoothed with an EMA to reduce noise and create a cleaner oscillator line. Divergence Detection The indicator compares price pivots to pressure pivots: Bullish divergence : price makes a lower low while pressure makes a higher low Bearish divergence : price makes a higher high while pressure makes a lower high These conditions can help highlight potential exhaustion or hidden participation from larger players. Visual Elements Histogram showing the intensity of buying/selling pressure Color-coding for increasing vs. decreasing pressure Background shading for detected absorption zones Status table summarizing current pressure, trend bias, volume delta, wick signal, and absorption state in real time How To Use Use the pressure oscillator to gauge whether the current bar sequence is dominated by buyers or sellers. Strong positive readings may indicate sustained buying pressure; strong negatives may indicate sustained selling pressure. Watch for divergences between price and the pressure oscillator around key levels, swings, or zones you already care about. Use absorption zones and wick rejection signals as additional context around support/resistance, breakouts, or failed moves. Treat all signals as context and confluence , not as stand-alone trade entries or exits. This tool is best used alongside your existing price action, volume, and risk management framework. Important Notes & Limitations This script does not access real bid/ask, footprint, or order book data . All volume delta and absorption interpretations are heuristic estimates derived from OHLCV candles. Signals are probabilistic , not guarantees. They can be early, late, or outright wrong in fast or low-liquidity markets. Always validate signals with your own analysis, timeframe alignment, and risk management. This indicator is intended as an analytical tool , not financial advice.
אינדיקטור Pine Script®
מאת ‎kingthies‎
1
Stochastic Average (2 TFs)“Stoch (2 TFs)” plots two separate Stochastic oscillators from two different timeframes in a single pane and adds an average line of all four values (%K and %D from each timeframe). It is designed to quickly compare short-term vs higher-timeframe momentum and see whether they are aligned or diverging. The script is an overlay-off oscillator, so it appears in its own window under the price chart. How it works The indicator calculates a classic Stochastic (%K and %D) on two user-selectable timeframes: tf1 (default 30 minutes) tf2 (default 60 minutes) For each timeframe it: Requests the high, low and close series from that timeframe using request.security. Computes %K as the smoothed position of the close within the lookback high/low range. Computes %D as a moving average of %K. So you get four lines in total: K1 and D1 from timeframe 1 K2 and D2 from timeframe 2 A small table in the top-right of the pane shows which timeframes are currently selected for TF1 and TF2, so you always know what you are looking at even if you change the chart timeframe. Inputs %K Length – lookback period used to find highest high and lowest low. %K Smoothing – smoothing length for the %K line. %D Smoothing – smoothing length for the %D line. 30 (tf1) – first Stochastic timeframe (default 30m). %K Color (1) / %D Color (1) – colors for K1 and D1. 60 (tf2) – second Stochastic timeframe (default 60m). %K Color (2) / %D Color (2) – colors for K2 and D2. Average Color – color for the current bar average line. Average Prev Color – color for the previous-bar average line. You can put this indicator on any chart timeframe; the internals always use the two selected timeframes via request.security. Visual elements The pane shows: Four Stochastic lines: K1 and D1 (for tf1), K2 and D2 (for tf2), using the input colors. Three horizontal reference levels: 80 (upper band), 50 (middle), 20 (lower band). A light blue background band between 80 and 20 to make the overbought/oversold zone easier to see visually. A 2-cell table in the top-right with the current values of tf1 and tf2. These elements make it easy to see when each timeframe is overbought, oversold, or in the middle zone, and whether the two timeframes are synchronized or showing divergence. Average and previous-average lines At the bottom of the script there is a simple composite measure: Sum KD adds K1 + D1 + K2 + D2 and divides by 4. Prev Sum KD does the same for the previous bar ( ). Both are plotted as separate lines: Sum KD – current bar average of all four Stochastic values (main composite). Prev Sum KD – previous bar average (for comparison). This makes it easy to see whether overall multi-timeframe Stochastic momentum is increasing or decreasing from bar to bar without having to visually average four separate curves. How to use Typical uses: See short- vs higher-timeframe Stochastic at a glance and trade only when they agree. Look for divergence between TF1 and TF2 (e.g., lower timeframe overbought while higher timeframe still neutral). Use the average lines (Sum KD and Prev Sum KD) as a simple “multi-TF momentum gauge” for confirmations or filters.
אינדיקטור Pine Script®
מאת ‎alejandroscotti‎
SMI 30m With Built-in Divergence AlertsStochastic Momentum Index SMI 30m is a simplified, single-timeframe Stochastic Momentum Index (SMI) designed for traders who want a clean momentum oscillator with clear crossover signals and automatic higher-timeframe filtering. This version is locked to a 30-minute timeframe, making it consistent across any chart you place it on. The script plots: SMI Blue Line – the main momentum line SMI Orange Line – the signal line (EMA-smoothed) Overbought / Oversold regions Optional colored background zones that highlight strong momentum extremes Both the Blue and Orange plots are fully exposed, allowing users to manually create TradingView alerts for crossovers. Additionally, the script includes two built-in alert conditions for traders who prefer automatic signals. How the SMI is calculated This script uses a double-EMA smoothing method to stabilize momentum: Highest and lowest price ranges are calculated over the selected %K period. Relative position of price inside that range is computed. A double EMA is applied to both the range and the midpoint offset. The SMI result is scaled to ±200 for clarity. The Signal Line is a single-EMA applied to the SMI. These parameters can be adjusted: %K Length %D Length EMA Length The default values match traditional 13-3-3 SMI settings. Visual Components 1. SMI Blue Line Represents the primary momentum movement. Values above 40 indicate positive momentum; values below −40 indicate negative momentum. 2. SMI Orange Line Acts as a smoothing signal line. Crossovers between Blue and Orange often indicate momentum shifts. 3. Overbought / Oversold Zones +40 = overbought boundary −40 = oversold boundary These levels help identify exhaustion points. 4. Gradient High/Low Zones The script includes colored fill zones above +40 and below −40 to visually highlight extreme momentum regions. Built-In Alerts The indicator includes two pre-configured alert conditions: 1. Bearish Cross (Overbought) Triggers when: The Blue SMI crosses below the Orange SMI AND the Blue SMI value is above 80 This represents a potential bearish divergence or momentum reversal from extreme highs. Alert title: SMI Bearish Cross 2. Bullish Cross (Oversold) Triggers when: The Blue SMI crosses above the Orange SMI AND the Blue SMI value is below −80 This represents a potential bullish divergence or reversal from extreme lows. Alert title: SMI Bullish Cross How to Use Alerts After adding the indicator to your chart: Open the Alerts panel Select Condition → SMI (1 TF) 30m Choose either: SMI Bearish Cross SMI Bullish Cross Set your preferred trigger method: Once per bar close Once per bar Once per minute Create the alert Traders can also manually create alerts for: Blue crossing above Orange Blue crossing below Orange Because both plots are fully exposed. Purpose This indicator is intended for traders who want a stable, single-timeframe SMI with: Clear structure Extreme-zone highlighting Exposed plots for custom alerts Built-in reversal alerts Consistent 30-minute TF regardless of chart It can be used for: Identifying trend reversals Detecting momentum exhaustion Confirming entries/exits Spotting early divergence signals
אינדיקטור Pine Script®
מאת ‎alejandroscotti‎
Abacus Community Williams %R + Bollinger %B📌 Indicator Description (Professional & Clear) Williams %R + Bollinger %B Momentum Indicator (ThinkOrSwim Style) This custom indicator combines Williams %R and Bollinger %B into a single, unified panel to provide a powerful momentum-and-positioning view of price action. Modeled after the ThinkOrSwim version used by professional traders, it displays: ✅ Williams %R (10-period) – Yellow Line This oscillator measures the market's position relative to recent highs and lows. It plots on a 0% to 100% scale, where: 80–100% → Overbought region 20–0% → Oversold region 50% → Momentum equilibrium Williams %R helps identify exhaustion, trend strength, and potential reversal zones. ✅ Bollinger %B (20, 2.0) – Turquoise Histogram Bars %B shows where price is trading relative to the Bollinger Bands: Above 50% → Price is in the upper half of the band (bullish pressure) Below 50% → Price is in the lower half (bearish pressure) Near 100% → Price pushing upper band (possible breakout) Near 0% → Price testing lower band (possible breakdown) The histogram visually represents momentum shifts in real time, creating a clean profile of volatility and strength. 🎯 Why This Combination Works Together, Williams %R and Bollinger %B reveal: Momentum direction Overbought/oversold conditions Volatility compression & expansion Trend continuation vs reversal zones High-probability inflection points Williams %R shows oscillation and exhaustion, while %B shows pressure inside volatility bands. The combination helps identify whether momentum supports the current trend or is weakening. 🔍 Use Cases Detect early trend reversals Validate breakouts and breakdowns Spot momentum failure in price extremes Confirm pullbacks and continuation setups Time entries and exits with higher precision 💡 Best For Swing traders Momentum traders Trend-followers Options traders (for timing premium decay or volatility expansion)
אינדיקטור Pine Script®
מאת ‎gadielvasquez1988‎
Stochastic BTC OptimizedEnhanced Stochastic for Bitcoin (BTC) – Optimized for Daily Timeframe This enhanced Stochastic oscillator is specifically fine-tuned for BTC/USD on the 1D timeframe, leveraging historical data from Bitstamp (2011–2025) to minimize false signals and maximize reliability in Bitcoin's volatile swings. Unlike the classic Stochastic (14, 3, 3), this version uses optimized parameters: - K Period = 21 – smoother reaction, better suited for BTC’s macro cycles - D Period = 3, Smooth K = 3 – reduces noise while preserving responsiveness - Overbought = 85, Oversold = 15 – accounts for BTC’s tendency to trend strongly within extreme zones without immediate reversal ✅ Smart Signal Logic: Buy/sell signals appear only when %K crosses %D inside the oversold (≤15) or overbought (≥85) zones, and only the first signal is shown to avoid whipsaws. Visual Enhancements: - Thick lines when %K/%D are in overbought/oversold zones - Green/red background highlights on valid signals - Optional up/down arrows for clear entry visualization - Customizable colors, line widths, and transparency 🔒 No alerts included – clean, focused on price action and momentum. 💡 Pro Tip: For even higher accuracy, use this indicator in combination with a long-term trend filter (e.g., EMA 200). The oscillator excels in ranging or retracement phases but should not be used alone in strong parabolic moves. Based on Mozilla Public License v2.0 – feel free to use, modify, and share. Perfect for swing traders and long-term Bitcoin analysts seeking high-probability reversal zones. перевод на русский Улучшенный Stochastic для Bitcoin (BTC) — оптимизирован для дневного таймфрейма Этот улучшенный осциллятор Stochastic специально настроен под BTC/USD на дневном графике, с учётом исторических данных Bitstamp (2011–2025), чтобы минимизировать ложные сигналы и повысить надёжность в условиях высокой волатильности биткоина. В отличие от классического Stochastic (14, 3, 3), эта версия использует оптимизированные параметры: - Период K = 21 — более плавная реакция, лучше соответствует макроциклам BTC - Период D = 3, Сглаживание K = 3 — снижает шум, сохраняя отзывчивость - Уровень перекупленности = 85, перепроданности = 15 — учитывает склонность BTC к сильным трендам в экстремальных зонах без немедленного разворота ✅ Интеллектуальная логика сигналов: Покупка/продажа отображается только при пересечении %K и %D внутри зоны перепроданности (≤15) или перекупленности (≥85), и только первый сигнал фиксируется, чтобы избежать «хлыстов». Улучшенная визуализация: - Жирные линии, когда %K/%D находятся в экстремальных зонах - Зелёный/красный фон при появлении сигналов - Опциональные стрелки для чёткого отображения точек входа - Настройка цветов, толщины линий и прозрачности 🔒 Без алертов — чистый инструмент, сфокусированный на цене и импульсе. 💡 Совет профессионала: для ещё большей точности используйте этот индикатор вместе с трендовым фильтром (например, EMA 200). Осциллятор лучше всего работает в фазах консолидации или отката, но не стоит применять его в одиночку во время сильных параболических движений. На основе Mozilla Public License v2.0 — свободно используйте, модифицируйте и делитесь. Идеален для свинг-трейдеров и аналитиков Bitcoin, ищущих зоны с высокой вероятностью разворота.
אינדיקטור Pine Script®
מאת ‎indexrate‎
Stochastic Hash Strat [Hash Capital Research]# Stochastic Hash Strategy by Hash Capital Research ## 🎯 What Is This Strategy? The **Stochastic Slow Strategy** is a momentum-based trading system that identifies oversold and overbought market conditions to capture mean-reversion opportunities. Think of it as a "buy low, sell high" approach with smart mathematical filters that remove emotion from your trading decisions. Unlike fast-moving indicators that generate excessive noise, this strategy uses **smoothed stochastic oscillators** to identify only the highest-probability setups when momentum truly shifts. --- ## 💡 Why This Strategy Works Most traders fail because they: - **Chase prices** after big moves (buying high, selling low) - **Overtrade** in choppy, directionless markets - **Exit too early** or hold losses too long This strategy solves all three problems: 1. **Entry Discipline**: Only trades when the stochastic oscillator crosses in extreme zones (oversold for longs, overbought for shorts) 2. **Cooldown Filter**: Prevents revenge trading by forcing a waiting period after each trade 3. **Fixed Risk/Reward**: Pre-defined stop-loss and take-profit levels ensure consistent risk management **The Math Behind It**: The stochastic oscillator measures where the current price sits relative to its recent high-low range. When it's below 25, the market is oversold (time to buy). When above 70, it's overbought (time to sell). The crossover with its moving average confirms momentum is shifting. --- ## 📊 Best Markets & Timeframes ### ⭐ OPTIMAL PERFORMANCE: **Crude Oil (WTI) - 12H Timeframe** - **Why it works**: Oil markets have predictable volatility patterns and respect technical levels **AAVE/USD - 4H to 12H Timeframe** - **Why it works**: DeFi tokens exhibit strong momentum cycles with clear extremes ### ✅ Also Works Well On: - **BTC/USD** (12H, Daily) - Lower frequency but high win rate - **ETH/USD** (8H, 12H) - Balanced volatility and liquidity - **Gold (XAU/USD)** (Daily) - Classic mean-reversion asset - **EUR/USD** (4H, 8H) - Lower volatility, requires patience ### ❌ Avoid Using On: - Timeframes below 4H (too much noise) - Low-liquidity altcoins (wide spreads kill performance) - Strongly trending markets without pullbacks (Bitcoin in 2021) - News-driven instruments during major events --- ## 🎛️ Understanding The Settings ### Core Stochastic Parameters **Stochastic Length (Default: 16)** - Controls the lookback period for price comparison - Lower = faster reactions, more signals (10-14 for volatile markets) - Higher = smoother signals, fewer trades (16-21 for stable markets) - **Pro tip**: Use 10 for crypto 4H, 16 for commodities 12H **Overbought Level (Default: 70)** - Threshold for short entries - Lower values (65-70) = more trades, earlier entries - Higher values (75-80) = fewer but higher-conviction trades - **Sweet spot**: 70 works for most assets **Oversold Level (Default: 25)** - Threshold for long entries - Higher values (25-30) = more trades, earlier entries - Lower values (15-20) = fewer but stronger bounce setups - **Sweet spot**: 20-25 depending on market conditions **Smooth K & Smooth D (Default: 7 & 3)** - Additional smoothing to filter out whipsaws - K=7 makes the indicator slower and more reliable - D=3 is the signal line that confirms the trend - **Don't change these unless you know what you're doing** --- ### Risk Management **Stop Loss % (Default: 2.2%)** - Automatically exits losing trades - Should be 1.5x to 2x your average market volatility - Too tight = death by a thousand cuts - Too wide = uncontrolled losses - **Calibration**: Check ATR indicator and set SL slightly above it **Take Profit % (Default: 7%)** - Automatically exits winning trades - Should be 2.5x to 3x your stop loss (reward-to-risk ratio) - This default gives 7% / 2.2% = 3.18:1 R:R - **The golden rule**: Never have R:R below 2:1 --- ### Trade Filters **Bar Cooldown Filter (Default: ON, 3 bars)** - **What it does**: Forces you to wait X bars after closing a trade before entering a new one - **Why it matters**: Prevents emotional revenge trading and overtrading in choppy markets - **Settings guide**: - 3 bars = Standard (good for most cases) - 5-7 bars = Conservative (oil, slow-moving assets) - 1-2 bars = Aggressive (only for experienced traders) **Exit on Opposite Extreme (Default: ON)** - Closes your long when stochastic hits overbought (and vice versa) - Acts as an early profit-taking mechanism - **Leave this ON** unless you're testing other exit strategies **Divergence Filter (Default: OFF)** - Looks for price/momentum divergences for additional confirmation - **When to enable**: Trending markets where you want fewer but higher-quality trades - **Keep OFF for**: Mean-reverting markets (oil, forex, most of the time) --- ## 🚀 Quick Start Guide ### Step 1: Set Up in TradingView 1. Open TradingView and navigate to your chart 2. Click "Pine Editor" at the bottom 3. Copy and paste the strategy code 4. Click "Add to Chart" 5. The strategy will appear in a separate pane below your price chart ### Step 2: Choose Your Market **If you're trading Crude Oil:** - Timeframe: 12H - Keep all default settings - Watch for signals during London/NY overlap (8am-11am EST) **If you're trading AAVE or crypto:** - Timeframe: 4H or 12H - Consider these adjustments: - Stochastic Length: 10-14 (faster) - Oversold: 20 (more aggressive) - Take Profit: 8-10% (higher targets) ### Step 3: Wait for Your First Signal **LONG Entry** (Green circle appears): - Stochastic crosses up below oversold level (25) - Price likely near recent lows - System places limit order at take profit and stop loss **SHORT Entry** (Red circle appears): - Stochastic crosses down above overbought level (70) - Price likely near recent highs - System places limit order at take profit and stop loss **EXIT** (Orange circle): - Position closes either at stop, target, or opposite extreme - Cooldown period begins ### Step 4: Let It Run The biggest mistake? **Interfering with the system.** - Don't close trades early because you're scared - Don't skip signals because you "have a feeling" - Don't increase position size after a big win - Don't revenge trade after a loss **Follow the system or don't use it at all.** --- ### Important Risks: 1. **Drawdown Pain**: You WILL experience losing streaks of 5-7 trades. This is mathematically normal. 2. **Whipsaw Markets**: Choppy, range-bound conditions can trigger multiple small losses. 3. **Gap Risk**: Overnight gaps can cause your actual fill to be worse than the stop loss. 4. **Slippage**: Real execution prices differ from backtested prices (factor in 0.1-0.2% slippage). --- ## 🔧 Optimization Guide ### When to Adjust Settings: **Market Volatility Increased?** - Widen stop loss by 0.5-1% - Increase take profit proportionally - Consider increasing cooldown to 5-7 bars **Getting Too Few Signals?** - Decrease stochastic length to 10-12 - Increase oversold to 30, decrease overbought to 65 - Reduce cooldown to 2 bars **Getting Too Many Losses?** - Increase stochastic length to 18-21 (slower, smoother) - Enable divergence filter - Increase cooldown to 5+ bars - Verify you're on the right timeframe ### A/B Testing Method: 1. **Run default settings for 50 trades** on your chosen market 2. Document: Win rate, profit factor, max drawdown, emotional tolerance 3. **Change ONE variable** (e.g., oversold from 25 to 20) 4. Run another 50 trades 5. Compare results 6. Keep the better version **Never change multiple settings at once** or you won't know what worked. --- ## 📚 Educational Resources ### Key Concepts to Learn: **Stochastic Oscillator** - Developed by George Lane in the 1950s - Measures momentum by comparing closing price to price range - Formula: %K = (Close - Low) / (High - Low) × 100 - Similar to RSI but more sensitive to price movements **Mean Reversion vs. Trend Following** - This is a **mean reversion** strategy (price returns to average) - Works best in ranging markets with defined support/resistance - Fails in strong trending markets (2017 Bitcoin, 2020 Tech stocks) - Complement with trend filters for better results **Risk:Reward Ratio** - The cornerstone of profitable trading - Winning 40% of trades with 3:1 R:R = profitable - Winning 60% of trades with 1:1 R:R = breakeven (after fees) - **This strategy aims for 45% win rate with 2.5-3:1 R:R** ### Recommended Reading: - *"Trading Systems and Methods"* by Perry Kaufman (Chapter on Oscillators) - *"Mean Reversion Trading Systems"* by Howard Bandy - *"The New Trading for a Living"* by Dr. Alexander Elder --- ## 🛠️ Troubleshooting ### "I'm not seeing any signals!" **Check:** - Is your timeframe 4H or higher? - Is the stochastic actually reaching extreme levels (check if your asset is stuck in middle range)? - Is cooldown still active from a previous trade? - Are you on a low-liquidity pair? **Solution**: Switch to a more volatile asset or lower the overbought/oversold thresholds. --- ### "The strategy keeps losing money!" **Check:** - What's your win rate? (Below 35% is concerning) - What's your profit factor? (Below 0.8 means serious issues) - Are you trading during major news events? - Is the market in a strong trend? **Solution**: 1. Verify you're using recommended markets/timeframes 2. Increase cooldown period to avoid choppy markets 3. Reduce position size to 5% while you diagnose 4. Consider switching to daily timeframe for less noise --- ### "My stop losses keep getting hit!" **Check:** - Is your stop loss tighter than the average ATR? - Are you trading during high-volatility sessions? - Is slippage eating into your buffer? **Solution**: 1. Calculate the 14-period ATR 2. Set stop loss to 1.5x the ATR value 3. Avoid trading right after market open or major news 4. Factor in 0.2% slippage for crypto, 0.1% for oil --- ## 💪 Pro Tips from the Trenches ### Psychological Discipline **The Three Deadly Sins:** 1. **Skipping signals** - "This one doesn't feel right" 2. **Early exits** - "I'll just take profit here to be safe" 3. **Revenge trading** - "I need to make back that loss NOW" **The Solution:** Treat your strategy like a business system. Would McDonald's skip making fries because the cashier "doesn't feel like it today"? No. Systems work because of consistency. --- ### Position Management **Scaling In/Out** (Advanced) - Enter 50% position at signal - Add 50% if stochastic reaches 10 (oversold) or 90 (overbought) - Exit 50% at 1.5x take profit, let the rest run **This is NOT for beginners.** Master the basic system first. --- ### Market Awareness **Oil Traders:** - OPEC meetings = volatility spikes (avoid or widen stops) - US inventory reports (Wed 10:30am EST) = avoid trading 2 hours before/after - Summer driving season = different patterns than winter **Crypto Traders:** - Monday-Tuesday = typically lower volatility (fewer signals) - Thursday-Sunday = higher volatility (more signals) - Avoid trading during exchange maintenance windows --- ## ⚖️ Legal Disclaimer This trading strategy is provided for **educational purposes only**. - Past performance does not guarantee future results - Trading involves substantial risk of loss - Only trade with capital you can afford to lose - No one associated with this strategy is a licensed financial advisor - You are solely responsible for your trading decisions **By using this strategy, you acknowledge that you understand and accept these risks.** --- ## 🙏 Acknowledgments Strategy development inspired by: - George Lane's original Stochastic Oscillator work - Modern quantitative trading research - Community feedback from hundreds of backtests Built with ❤️ for retail traders who want systematic, disciplined approaches to the markets. --- **Good luck, stay disciplined, and trade the system, not your emotions.**
אסטרטגיית Pine Script®
מאת ‎Hash_Capital‎
Triple 9 Bias filter Triple 9 Bias – Precision Multi-Timeframe Directional Filter Technical Overview The Triple 9 Bias is a precision multi-timeframe directional filter built exclusively for 5-minute (and lower) trading. It stacks three EMA-9 trend directions (4H + 1H + 15m) as Primary confluence and uses only the 4H RSI-14 as Secondary confirmation. Integrity Check: Zero repaint · Zero lookahead · Works identically on any chart timeframe. The Trading Rule (Simple) Long Trades: Only trade longs when all three EMA-9s are UP + 4H RSI > 50 Short Trades: Only trade shorts when all three EMA-9s are DOWN + 4H RSI < 50 Otherwise — stand aside. Display Components A. Plotted Higher-Timeframe EMAs (No Repainting) All values are pulled from closed higher-timeframe bars. 4H EMA 9 (Red step-line) 1H EMA 9 (Purple step-line) 15m EMA 9 (Orange step-line) B. Locked Dashboard (Bottom-Right) Clean table split into Primary and Secondary sections for instant bias reading. Colour Logic: 🟢 Lime = UP / BUY 🔴 Red = DOWN / SELL Background Logic: Full Green: Only when all three EMA-9s are UP Full Red: Only when all three EMA-9s are DOWN Gray: Otherwise = no trade Indicator Breakdown 3.1. Primary Confluence – EMA 9 Slope 4H EMA 9 direction (compared 10 bars back) 1H EMA 9 direction (compared 6 bars back) 15m EMA 9 direction (compared 6 bars back) 3.2. Secondary Confluence 4H RSI-14 vs 50 level (BUY if >50, SELL if <50) High-Probability Signal: When Primary = all three “UP” and Secondary = “BUY” → highest-probability bullish bias (and vice-versa for bearish).
אינדיקטור Pine Script®
מאת ‎The_Tokyo_Protocol‎