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M-oscillator

Stochastic SuperTrend [BigBeluga]🔵 OVERVIEW A hybrid momentum-trend tool that combines Stochastic RSI with SuperTrend logic to deliver clean directional signals based on momentum turns. Stochastic SuperTrend is a straightforward yet powerful oscillator overlay designed to highlight turning points in momentum with high clarity. It overlays a SuperTrend-style envelope onto the Stochastic RSI, generating intuitive up/down signals when a momentum shift occurs across the neutral 50 level. Built for traders who appreciate simplicity without sacrificing reliability. 🔵 CONCEPTS Stochastic RSI: Measures momentum by applying stochastic calculations to the RSI curve instead of raw price. SuperTrend Bands: Dynamic upper/lower bands are drawn around the smoothed Stoch RSI line using a user-defined multiplier. Momentum Direction: Trend flips when the smoothed Stoch RSI crosses above/below the calculated bands. Neutral Bias Filter: Directional arrows only appear when momentum turns above or below the central 50 level—adding confluence. 🔵 FEATURES Trend Detection on Oscillator: Applies SuperTrend logic directly to the Stoch RSI curve. Clean Entry Signals: → 🢁 arrow printed when trend flips bullish below 50 (bottom reversals). → 🢃 arrow printed when trend flips bearish above 50 (top reversals). Custom Multiplier: Adjust sensitivity of SuperTrend band spacing around the oscillator. Neutral Zone Highlight: Visual zone between 0–50 (green) and 50–100 (red) for quick momentum polarity reference. Toggle SuperTrend Line: Option to show/hide the SuperTrend trail on the Stoch RSI. 🔵 HOW TO USE Use 🢁 signals for potential bottom reversals when momentum flips bullish from oversold regions. Use 🢃 signals for potential top reversals when momentum flips bearish from overbought areas. Combine with price-based SuperTrend or support/resistance zones for confluence. Suitable for scalping, swing trading, or momentum filtering across all timeframes. 🔵 CONCLUSION Stochastic SuperTrend is a simple yet refined tool that captures clean momentum shifts with directional clarity. Whether you're identifying reversals, filtering entries, or spotting exhaustion in a trend, this oscillator overlay delivers just what you need— no clutter, just clean momentum structure.
Wskaźnik Pine Script®
od BigBeluga
4
Bollinger Bands Entry/Exit ThresholdsBollinger Bands Entry/Exit Thresholds Author of enhancements: chuckaschultz Inspired and adapted from the original 'Bollinger Bands Breakout Oscillator' by LuxAlgo Overview Pairs nicely with Contrarian 100 MA The Bollinger Bands Entry/Exit Thresholds is a powerful momentum-based indicator designed to help traders identify potential entry and exit points in trending or breakout markets. By leveraging Bollinger Bands, this indicator quantifies price deviations from the bands to generate bullish and bearish momentum signals, displayed as an oscillator. It includes customizable entry and exit signals based on user-defined thresholds, with visual cues plotted either on the oscillator panel or directly on the price chart. This indicator is ideal for traders looking to capture breakout opportunities or confirm trend strength, with flexible settings to adapt to various markets and trading styles. How It Works The Bollinger Bands Entry/Exit Thresholds calculates two key metrics: Bullish Momentum (Bull): Measures the extent to which the price exceeds the upper Bollinger Band, expressed as a percentage (0–100). Bearish Momentum (Bear): Measures the extent to which the price falls below the lower Bollinger Band, also expressed as a percentage (0–100). The indicator generates: Long Entry Signals: Triggered when the bearish momentum (bear) crosses below a user-defined Long Threshold (default: 40). This suggests weakening bearish pressure, potentially indicating a reversal or breakout to the upside. Exit Signals: Triggered when the bullish momentum (bull) crosses below a user-defined Sell Threshold (default: 80), indicating a potential reduction in bullish momentum and a signal to exit long positions. Signals are visualized as tiny colored dots: Long Entry: Blue dots, plotted either at the bottom of the oscillator or below the price bar (depending on user settings). Exit Signal: White dots, plotted either at the top of the oscillator or above the price bar. Calculation Methodology Bollinger Bands: A user-defined Length (default: 14) is used to calculate an Exponential Moving Average (EMA) of the source price (default: close). Standard deviation is computed over the same length, multiplied by a user-defined Multiplier (default: 1.0). Upper Band = EMA + (Standard Deviation × Multiplier) Lower Band = EMA - (Standard Deviation × Multiplier) Bull and Bear Momentum: For each bar in the lookback period (length), the indicator calculates: Bullish Momentum: The sum of positive deviations of the price above the upper band, normalized by the total absolute deviation from the upper band, scaled to a 0–100 range. Bearish Momentum: The sum of positive deviations of the price below the lower band, normalized by the total absolute deviation from the lower band, scaled to a 0–100 range. Formula: bull = (sum of max(price - upper, 0) / sum of abs(price - upper)) * 100 bear = (sum of max(lower - price, 0) / sum of abs(lower - price)) * 100 Signal Generation: Long Entry: Triggered when bear crosses below the Long Threshold. Exit: Triggered when bull crosses below the Sell Threshold. Settings Length: Lookback period for EMA and standard deviation (default: 14). Multiplier: Multiplier for standard deviation to adjust Bollinger Band width (default: 1.0). Source: Input price data (default: close). Long Threshold: Bearish momentum level below which a long entry signal is generated (default: 40). Sell Threshold: Bullish momentum level below which an exit signal is generated (default: 80). Plot Signals on Main Chart: Option to display entry/exit signals on the price chart instead of the oscillator panel (default: false). Style: Bullish Color: Color for bullish momentum plot (default: #f23645). Bearish Color: Color for bearish momentum plot (default: #089981). Visual Features Bull and Bear Plots: Displayed as colored lines with gradient fills for visual clarity. Midline: Horizontal line at 50 for reference. Threshold Lines: Dashed green line for Long Threshold and dashed red line for Sell Threshold. Signal Dots: Long Entry: Tiny blue dots (below price bar or at oscillator bottom). Exit: Tiny white dots (above price bar or at oscillator top). How to Use Add to Chart: Apply the indicator to your TradingView chart. Adjust Settings: Customize the Length, Multiplier, Long Threshold, and Sell Threshold to suit your trading strategy. Interpret Signals: Enter a long position when a blue dot appears, indicating bearish momentum dropping below the Long Threshold. Exit the long position when a white dot appears, indicating bullish momentum dropping below the Sell Threshold. Toggle Plot Location: Enable Plot Signals on Main Chart to display signals on the price chart for easier integration with price action analysis. Combine with Other Tools: Use alongside other indicators (e.g., trendlines, support/resistance) to confirm signals. Notes This indicator is inspired by LuxAlgo’s Bollinger Bands Breakout Oscillator but has been enhanced with customizable entry/exit thresholds and signal plotting options. Best used in conjunction with other technical analysis tools to filter false signals, especially in choppy or range-bound markets. Adjust the Multiplier to make the Bollinger Bands wider or narrower, affecting the sensitivity of the momentum calculations. Disclaimer This indicator is provided for educational and informational purposes only.
Wskaźnik Pine Script®
od chuckaschultz
Momentum Trajectory Suite📈 Momentum Trajectory Suite 🟢 Overview Momentum Trajectory Suite is a multi-faceted indicator designed to help traders evaluate trend direction, volatility conditions, and behavioral sentiment in a single consolidated view. By combining a customizable Trajectory EMA, adaptive Bollinger Bands, and a Greed vs. Fear heatmap, this tool empowers traders to identify directional bias, measure momentum strength, and spot potential reversals or continuation setups. 🧠 Concept This indicator merges three classic techniques: Trend Analysis: Trajectory EMA highlights the prevailing directional momentum by smoothing price action over a customizable period. Volatility Envelopes: Bollinger Bands adapt to dynamic price swings, showing overbought/oversold extremes and periods of contraction or expansion. Behavioral Sentiment: A Greed vs. Fear heatmap combines RSI and MACD Histogram readings to visualize when markets are dominated by buying enthusiasm or selling pressure. The combination is designed to help traders interpret market context more effectively than using any single component alone. 🛠️ How to Use the Indicator Trajectory EMA: Use the blue EMA line to assess overall trend direction. Price closing above the EMA may indicate bullish momentum; closing below may indicate bearish bias. Buy/Sell Signals: Green circles appear when price crosses above the EMA (potential long entry). Red circles appear when price crosses below the EMA (potential exit or short entry). Bollinger Bands: Monitor upper/lower bands for overbought and oversold price extremes. Narrowing bands may signal upcoming volatility expansion. Greed vs. Fear Heatmap: Green histogram bars indicate bullish sentiment when RSI exceeds 60 and MACD Histogram is positive. Red histogram bars indicate bearish sentiment when RSI is below 40 and MACD Histogram is negative. Gray bars indicate neutral or mixed conditions. Background Color Zones: The chart background shifts to green when EMA slope is positive and red when negative, providing quick directional cues. All inputs are adjustable in settings, including EMA length, Bollinger Band parameters, and oscillator configurations. 📊 Interpretation Bullish Conditions: Price above the Trajectory EMA, background green, and Greed heatmap active. May signal trend continuation and increased buying pressure. Bearish Conditions: Price below the Trajectory EMA, background red, and Fear heatmap active. May signal momentum breakdown or potential continuation to the downside. Volatility Clues: Wide Bollinger Bands = trending, volatile market. Narrow Bollinger Bands = low volatility and possible breakout setup. Signal Confirmation: Consider combining signals (e.g., EMA crossover + Greed/Fear heatmap + Bollinger Band touch) for higher-confidence entries. 📝 Notes The script does not repaint or use future data. Suitable for multiple timeframes (intraday to daily). May be combined with other confirmation tools or price action analysis. ⚠️ Disclaimer This script is for educational and informational purposes only and does not constitute financial advice. Trading carries risk and past performance is not indicative of future results. Always perform your own due diligence before making trading decisions.
Wskaźnik Pine Script®
od scottivey
RSI Divergence (Nikko)RSI Divergence by Nikko 🧠 RSI Divergence Detector — Nikko Edition This script is an enhanced RSI Divergence detector built with Pine Script v6, modified for better visuals and practical usability. It uses linear regression to detect bullish and bearish divergences between the RSI and price action — one of the most reliable early signals in technical analysis. ✅ Improvements from the Original: - Clean divergence lines using regression fitting. - Optional label display to reduce clutter (Display Labels toggle). - Adjustable line thickness (Display Line Width). - A subtle heatmap background to highlight RSI overbought/oversold zones. - Uses max accuracy with high calc_bars_count and custom extrapolation window. 🔍 How It Works: The script applies linear regression (least squares method) on both RSI data, and Price (close) data. It then compares the direction of RSI vs. direction of Price over a set length. If price is making higher highs while RSI makes lower highs, it's a bearish divergence. If price is making lower lows while RSI makes higher lows, it's a bullish divergence. Additional filters (e.g., momentum and slope thresholds) are used to validate only strong divergences. 🔧 Input Parameters: RSI Length: The RSI period (default: 14). RSI Divergence Length: The lookback period for regression (default: 25). Source: Which price data to calculate RSI from (default: close). Display Labels: Show/hide “Bullish” or “Bearish” labels on the chart. Display Line Width: Adjusts how thick the plotted divergence lines appear. 📣 Alerts: Alerts are built-in for both RSI Buy (bullish divergence) and RSI Sell (bearish divergence) so you can use it in automation or notifications. 🚀 Personal Note: I’ve been using this script daily in my own trading, which is why I took time to improve both the logic and visual clarity. If you want a divergence tool that doesn't clutter your chart but gives strong signals, this might be what you're looking for.
Wskaźnik Pine Script®
od CryptoNikkoid
3
Mongoose EMA Ribbon — Pro EditionMongoose EMA Ribbon — Pro Edition The Mongoose EMA Ribbon is a precision tool designed to support directional bias, trend integrity, and momentum alignment through a structured multi-EMA system. It is built for traders seeking clarity across high-timeframe trend conditions without sacrificing speed or simplicity. Key Features: Five customizable EMAs optimized for layered ribbon analysis Configurable color logic for clean visual separation Built-in ribbon compression and expansion visibility Support for ribbon-based trend continuation zones Optional label and visual tag for real-time trend state Applications: Identify trend strength and reversals with ribbon alignment Detect compression zones that precede directional moves Support discretionary or system-based trading strategies Integrates well with price structure and macro overlays This script is part of the Mongoose Capital toolkit and was developed to meet internal standards for clarity, execution readiness, and cross-asset compatibility. Version: Pro Edition Timeframes: Optimized for 1H, 4H, Daily, Weekly
Wskaźnik Pine Script®
od TheRealMongoose
PulseWave + DivergenceOverview PulseWave + Divergence is a momentum oscillator designed to optimize the classic RSI. Unlike traditional RSI, which can produce delayed or noisy signals, PulseWave offers a smoother and faster oscillator line that better responds to changes in market dynamics. By using a formula based on the difference between RSI and its moving average, the indicator generates fewer false signals, making it a suitable tool for day traders and swing traders in stock, forex, and cryptocurrency markets. How It Works Generating the Oscillator Line The PulseWave oscillator line is calculated as follows: RSI is calculated based on the selected data source (default: close price) and RSI length (default: 20 periods). RSI is smoothed using a simple moving average (MA) with a selected length (default: 20 periods). The oscillator value is the difference between the current RSI and its moving average: oscillator = RSI - MA(RSI). This approach ensures high responsiveness to short-term momentum changes while reducing market noise. Unlike other oscillators, such as standard RSI or MACD, which rely on direct price values or more complex formulas, PulseWave focuses on the dynamics of the difference between RSI and its moving average. This allows it to better capture short-term trend changes while minimizing the impact of random price fluctuations. The oscillator line fluctuates around zero, making it easy to identify bullish trends (positive values) and bearish trends (negative values). Divergences The indicator optionally detects bullish and bearish divergences by comparing price extremes (swing highs/lows) with oscillator extremes within a defined pivot window (default: 5 candles left and right). Divergences are marked with "Bull" (bullish) and "Bear" (bearish) labels on the oscillator chart. Signals Depending on the selected signal type, PulseWave generates buy and sell signals based on: Crosses of the overbought and oversold levels. Crosses of the oscillator’s zero line. A combination of both (option "Both"). Signals are displayed as triangles above or below the oscillator, making them easy to identify. Input Parameters RSI Length: Length of the RSI used in calculations (default: 20). RSI MA Length: Length of the RSI moving average (default: 20). Overbought/Oversold Level: Oscillator overbought and oversold levels (default: 12.0 and -12.0). Pivot Length: Number of candles used to detect extremes for divergences (default: 5). Signal Type: Type of signals to display ("Overbought/Oversold", "Zero Line", "Both", or "None"). Colors and Gradients: Full customization of line, gradient, and label colors. How to Use Adjust Parameters: Increase RSI Length (e.g., to 30) for high-volatility markets to reduce noise. Decrease Pivot Length (e.g., to 3) for faster divergence detection on short timeframes. Interpret Signals: Buy Signal: The oscillator crosses above the oversold level or zero line, especially with a bullish divergence. Sell Signal: The oscillator crosses below the overbought level or zero line, especially with a bearish divergence. Combine with Other Tools: Use PulseWave alongside moving averages or support/resistance levels to confirm signals. Monitor Divergences: "Bull" and "Bear" labels indicate potential trend reversals. Set up alerts to receive notifications for divergences.
Wskaźnik Pine Script®
od Uncle_the_shooter
4
Z Score Overlay [BigBeluga]🔵 OVERVIEW A clean and effective Z-score overlay that visually tracks how far price deviates from its moving average. By standardizing price movements, this tool helps traders understand when price is statistically extended or compressed—up to ±4 standard deviations. The built-in scale and real-time bin markers offer immediate context on where price stands in relation to its recent mean. 🔵 CONCEPTS Z Score Calculation:   Z = (Close − SMA) ÷ Standard Deviation   This formula shows how many standard deviations the current price is from its mean. Statistical Extremes:   • Z > +2 or Z < −2 suggests statistically significant deviation.   • Z near 0 implies price is close to its average. Standardization of Price Behavior: Makes it easier to compare volatility and overextension across timeframes and assets. 🔵 FEATURES Colored Z Line: Gradient coloring based on how far price deviates—   • Red = oversold (−4),   • Green = overbought (+4),   • Yellow = neutral (~0). Deviation Scale Bar: A vertical scale from −4 to +4 standard deviations plotted to the right of price. Active Z Score Bin: Highlights the current Z-score bin with a “◀” arrow Context Labels: Clear numeric labels for each Z-level from −4 to +4 along the side. Live Value Display: Shows exact Z-score on the active level. Non-intrusive Overlay: Can be applied directly to price chart without changing scaling behavior. 🔵 HOW TO USE Identify overbought/oversold areas based on +2 / −2 thresholds. Spot potential mean reversion trades when Z returns from extreme levels. Confirm strong trends when price remains consistently outside ±2. Use in multi-timeframe setups to compare strength across contexts. 🔵 CONCLUSION Z Score Overlay transforms raw price action into a normalized statistical view, allowing traders to easily assess deviation strength and mean-reversion potential. The intuitive scale and color-coded display make it ideal for traders seeking objective, volatility-aware entries and exits.
Wskaźnik Pine Script®
od BigBeluga
9
OBV ATR Strategy (OBV Breakout Channel) bas20230503ผมแก้ไขจาก OBV+SMA อันเดิม ของเดิม ดูที่เส้น SMA สองเส้นตัดกันมั่นห่วยแตกสำหรับที่ผมลองเทรดจริง และหลักการเบรค ได้แรงบันดาลใจ ATR จาก เทพคอย ที่ใช้กับราคา แต่นี้ใช้กับ OBV แทน และผมใช้เจมินี้ เพื่อแก้ ให้ เป็น strategy เพื่อเช็คย้อนหลังได้ง่ายกว่าเดิม หลักการง่ายคือถ้ามันขึ้น มันจะขึ้นเรื่อยๆ เขียน แบบสุภาพ (น่าจะอ่านได้ง่ายกว่าผมเขียน) สคริปต์นี้ได้รับการพัฒนาต่อยอดจากแนวคิด OBV+SMA Crossover แบบดั้งเดิม ซึ่งจากการทดสอบส่วนตัวพบว่าประสิทธิภาพยังไม่น่าพอใจ กลยุทธ์ใหม่นี้จึงเปลี่ยนมาใช้หลักการ "Breakout" ซึ่งได้รับแรงบันดาลใจมาจากการใช้ ATR สร้างกรอบของราคา แต่เราได้นำมาประยุกต์ใช้กับ On-Balance Volume (OBV) แทน นอกจากนี้ สคริปต์ได้ถูกแปลงเป็น Strategy เต็มรูปแบบ (โดยความช่วยเหลือจาก Gemini AI) เพื่อให้สามารถทดสอบย้อนหลัง (Backtest) และประเมินประสิทธิภาพได้อย่างแม่นยำ หลักการของกลยุทธ์: กลยุทธ์นี้ทำงานบนแนวคิดโมเมนตัมที่ว่า "เมื่อแนวโน้มได้เกิดขึ้นแล้ว มีโอกาสที่มันจะดำเนินต่อไป" โดยจะมองหาการทะลุของพลังซื้อ-ขาย (OBV) ที่แข็งแกร่งเป็นพิเศษเป็นสัญญาณเข้าเทร ---- สคริปต์นี้เป็นกลยุทธ์ (Strategy) ที่ใช้ On-Balance Volume (OBV) ซึ่งเป็นอินดิเคเตอร์ที่วัดแรงซื้อและแรงขายสะสม แทนที่จะใช้การตัดกันของเส้นค่าเฉลี่ย (SMA Crossover) ที่เป็นแบบพื้นฐาน กลยุทธ์นี้จะมองหาการ "ทะลุ" (Breakout) ของพลัง OBV ออกจากกรอบสูงสุด-ต่ำสุดของตัวเองในรอบที่ผ่านมา สัญญาณกระทิง (Bull Signal): เกิดขึ้นเมื่อพลังการซื้อ (OBV) แข็งแกร่งจนสามารถทะลุจุดสูงสุดของตัวเองในอดีตได้ บ่งบอกถึงโอกาสที่แนวโน้มจะเปลี่ยนเป็นขาขึ้น สัญญาณหมี (Bear Signal): เกิดขึ้นเมื่อพลังการขาย (OBV) รุนแรงจนสามารถกดดันให้ OBV ทะลุจุดต่ำสุดของตัวเองในอดีตได้ บ่งบอกถึงโอกาสที่แนวโน้มจะเปลี่ยนเป็นขาลง ส่วนประกอบบนกราฟ (Indicator Components) เส้น OBV เส้นหลัก ที่เปลี่ยนเขียวเป็นแดง เป็นทั้งแนวรับและแนวต้าน และ จุด stop loss เส้นนี้คือหัวใจของอินดิเคเตอร์ ที่แสดงถึงพลังสะสมของ Volume เมื่อเส้นเป็นสีเขียว (แนวรับ): จะปรากฏขึ้นเมื่อกลยุทธ์เข้าสู่ "โหมดกระทิง" เส้นนี้คือระดับต่ำสุดของ OBV ในอดีต และทำหน้าที่เป็นแนวรับไดนามิก เมื่อเส้นกลายเป็นสีแดงสีแดง (แนวต้าน): จะปรากฏขึ้นเมื่อกลยุทธ์เข้าสู่ "โหมดหมี" เส้นนี้คือระดับสูงสุดของ OBV ในอดีต และทำหน้าที่เป็นแนวต้านไดนามิก สัญลักษณ์สัญญาณ (Signal Markers): Bull 🔼 (สามเหลี่ยมขึ้นสีเขียว): คือสัญญาณ "เข้าซื้อ" (Long) จะปรากฏขึ้น ณ จุดที่ OBV ทะลุขึ้นไปเหนือกรอบด้านบนเป็นครั้งแรก Bear 🔽 (สามเหลี่ยมลงสีแดง): คือสัญญาณ "เข้าขาย" (Short) จะปรากฏขึ้น ณ จุดที่ OBV ทะลุลงไปต่ำกว่ากรอบด้านล่างเป็นครั้งแรก วิธีการใช้งาน (How to Use) เพิ่มสคริปต์นี้ลงบนกราฟราคาที่คุณสนใจ ไปที่แท็บ "Strategy Tester" ด้านล่างของ TradingView เพื่อดูผลการทดสอบย้อนหลัง (Backtest) ของกลยุทธ์บนสินทรัพย์และไทม์เฟรมต่างๆ ใช้สัญลักษณ์ "Bull" และ "Bear" เป็นตัวช่วยในการตัดสินใจเข้าเทรด ข้อควรจำ: ไม่มีกลยุทธ์ใดที่สมบูรณ์แบบ 100% ควรใช้สคริปต์นี้ร่วมกับการวิเคราะห์ปัจจัยอื่นๆ เช่น โครงสร้างราคา, แนวรับ-แนวต้านของราคา และการบริหารความเสี่ยง (Risk Management) ของตัวคุณเองเสมอ การตั้งค่า (Inputs) SMA Length 1 / SMA Length 2: ใช้สำหรับพล็อตเส้นค่าเฉลี่ยของ OBV เพื่อดูเป็นภาพอ้างอิง ไม่มีผลต่อตรรกะการเข้า-ออกของ Strategy อันใหม่ แต่มันเป็นของเก่า ถ้าชอบ ก็ใช้ได้ เมื่อ SMA สองเส้นตัดกัน หรือตัดกับเส้น OBV High/Low Lookback Length: (ค่าพื้นฐาน30/แก้ตรงนี้ให้เหมาะสมกับ coin หรือหุ้น ตามความผันผวน ) คือระยะเวลาที่ใช้ในการคำนวณกรอบสูงสุด-ต่ำสุดของ OBV ค่าน้อย: ทำให้กรอบแคบลง สัญญาณจะเกิดไวและบ่อยขึ้น แต่อาจมีสัญญาณหลอก (False Signal) เยอะขึ้น ค่ามาก: ทำให้กรอบกว้างขึ้น สัญญาณจะเกิดช้าลงและน้อยลง แต่มีแนวโน้มที่จะเป็นสัญญาณที่แข็งแกร่งกว่า แน่นอนครับ นี่คือคำแปลฉบับภาษาอังกฤษที่สรุปใจความสำคัญ กระชับ และสุภาพ เหมาะสำหรับนำไปใช้ในคำอธิบายสคริปต์ (Description) ของ TradingView ครับ ---Translate to English--- OBV Breakout Channel Strategy This script is an evolution of a traditional OBV+SMA Crossover concept. Through personal testing, the original crossover method was found to have unsatisfactory performance. This new strategy, therefore, uses a "Breakout" principle. The inspiration comes from using ATR to create price channels, but this concept has been adapted and applied to On-Balance Volume (OBV) instead. Furthermore, the script has been converted into a full Strategy (with assistance from Gemini AI) to enable precise backtesting and performance evaluation. The strategy's core principle is momentum-based: "once a trend is established, it is likely to continue." It seeks to enter trades on exceptionally strong breakouts of buying or selling pressure as measured by OBV. Core Concept This is a Strategy that uses On-Balance Volume (OBV), an indicator that measures cumulative buying and selling pressure. Instead of relying on a basic Simple Moving Average (SMA) Crossover, this strategy identifies a "Breakout" of the OBV from its own highest-high and lowest-low channel over a recent period. Bull Signal: Occurs when the buying pressure (OBV) is strong enough to break above its own recent highest high, indicating a potential shift to an upward trend. Bear Signal: Occurs when the selling pressure (OBV) is intense enough to push the OBV below its own recent lowest low, indicating a potential shift to a downward trend. On-Screen Components 1. OBV Line This is the main indicator line, representing the cumulative volume. Its color changes to green when OBV is rising and red when it is falling. 2. Dynamic Support & Resistance Line This is the thick Green or Red line that appears based on the strategy's current "mode." This line serves as a dynamic support/resistance level and can be used as a reference for stop-loss placement. Green Line (Support): Appears when the strategy enters "Bull Mode." This line represents the lowest low of the OBV in the recent past and acts as dynamic support. Red Line (Resistance): Appears when the strategy enters "Bear Mode." This line represents the highest high of the OBV in the recent past and acts as dynamic resistance. 3. Signal Markers Bull 🔼 (Green Up Triangle): This is the "Long Entry" signal. It appears at the moment the OBV first breaks out above its high-low channel. Bear 🔽 (Red Down Triangle): This is the "Short Entry" signal. It appears at the moment the OBV first breaks down below its high-low channel. How to Use Add this script to the price chart of your choice. Navigate to the "Strategy Tester" panel at the bottom of TradingView to view the backtesting results for the strategy on different assets and timeframes. Use the "Bull" and "Bear" signals as aids in your trading decisions. Disclaimer: No strategy is 100% perfect. This script should always be used in conjunction with other forms of analysis, such as price structure, key price-based support/resistance levels, and your own personal risk management rules. Inputs SMA Length 1 / SMA Length 2: These are used to plot moving averages on the OBV for visual reference. They are part of the legacy logic and do not affect the new breakout strategy. However, they are kept for traders who may wish to observe their crossovers for additional confirmation. High/Low Lookback Length: (Most Important Setting) This determines the period used to calculate the highest-high and lowest-low OBV channel. (Default is 30; adjust this to suit the asset's volatility). A smaller value: Creates a narrower channel, leading to more frequent and faster signals, but potentially more false signals. A larger value: Creates a wider channel, leading to fewer and slower signals, which are likely to be more significant.
Strategia Pine Script®
od bas20230503
Daily Trading Barometer (DTB) with DJIA OverlayThe "Daily Trading Barometer (DTB) with DJIA Overlay" is a custom technical indicator designed to identify intermediate-term overbought and oversold conditions in the stock market, inspired by Edson Gould's original DTB methodology. This indicator combines three key components: A 7-day advance-decline oscillator, a 20-day volume oscillator, and a 28-day DJIA price ratio, normalized into a composite index scaled around 110–135. Values below 110 signal potential oversold conditions, while values above 135 indicate overbought territory, aiding in timing market reversals. The overlay of a normalized DJIA plot allows for visual correlation with the broader market trend. Use this tool to anticipate turning points in oscillating markets, though it’s best combined with other indicators for confirmation. Ideal for traders seeking probabilistic insights into bear or bull market transitions. How to use - If the DTB line (blue) and normalized DJIA (orange) are under the green dashed line, high probability for a long and reversal. Use with the symbol SPX/QQQ Dow Jones Industrial Average - DJIA
Wskaźnik Pine Script®
od ZoharCho
Adaptive RSI (ARSI)# Adaptive RSI (ARSI) - Dynamic Momentum Oscillator Adaptive RSI is an advanced momentum oscillator that dynamically adjusts its calculation period based on real-time market volatility and cycle analysis. Unlike traditional RSI that uses fixed periods, ARSI continuously adapts to market conditions, providing more accurate overbought/oversold signals and reducing false signals during varying market phases. ## How It Works At its core, ARSI calculates an adaptive period ranging from 8 to 28 bars using two key components: volatility measurement through Average True Range (ATR) and cycle detection via price momentum analysis. The logic is straightforward: - **High volatility periods** trigger shorter calculation periods for enhanced responsiveness to rapid price movements - **Low volatility periods** extend the calculation window for smoother, more reliable signals - **Market factor** combines volatility and cycle analysis to determine optimal RSI period in real-time When RSI crosses above 70, the market enters overbought territory. When it falls below 30, oversold conditions emerge. The indicator also features extreme levels at 80/20 for stronger reversal signals and midline crossovers at 50 for trend confirmation. The adaptive mechanism ensures the oscillator remains sensitive during critical market movements while filtering out noise during consolidation phases, making it superior to static RSI implementations across different market conditions. ## Features - **True Adaptive Calculation**: Dynamic period adjustment from 8-28 bars based on market volatility - **Multiple Signal Types**: Overbought/oversold, extreme reversals, and midline crossovers - **Configurable Parameters**: RSI length, adaptive sensitivity, ATR period, min/max bounds - **Smart Smoothing**: Adjustable EMA smoothing from 1-21 periods to reduce noise - **Visual Clarity**: Gradient colors, area fills, and signal dots for immediate trend recognition - **Real-time Information**: Live data table showing current RSI, adaptive period, and market factor - **Flexible Source Input**: Apply to any price source (close, hl2, ohlc4, etc.) - **Professional Alerts**: Six built-in alert conditions for automated trading systems ## Signal Generation ARSI generates multiple signal types for comprehensive market analysis: **Primary Signals**: RSI crosses above 70 (overbought) or below 30 (oversold) - most reliable entry/exit points **Extreme Signals**: RSI reaches 80+ (extreme overbought) or 20- (extreme oversold) - potential reversal zones **Trend Signals**: RSI crosses above/below 50 midline - confirms directional momentum **Reversal Signals**: Price action contradicts extreme RSI levels - early turning point detection The adaptive period changes provide additional confirmation - signals accompanied by significant period shifts often carry higher probability of success. ## Visual Implementation The indicator employs sophisticated visual elements for instant market comprehension: - **Gradient RSI Line**: Color intensity reflects both value and momentum direction - **Dynamic Zones**: Overbought/oversold areas with customizable fill colors - **Signal Markers**: Triangular indicators mark key reversal and continuation points - **Information Panel**: Real-time display of RSI value, adaptive period, market factor, and signal status - **Background Coloring**: Subtle fills indicate current market state without chart clutter ## Parameter Configuration **RSI Settings**: - RSI Length: Base calculation period (default: 14) - Adaptive Sensitivity: Response aggressiveness to volatility changes (default: 1.0) - ATR Length: Volatility measurement period (default: 14) - Min/Max Period: Adaptive calculation boundaries (default: 8/28) - Smoothing Length: Final noise reduction filter (default: 3) **Level Settings**: - Overbought/Oversold: Standard signal levels (default: 70/30) - Extreme Levels: Enhanced reversal zones (default: 80/20) - Midline Display: 50-level trend confirmation toggle **Visual Settings**: - Line Width: RSI line thickness (1-5) - Area Fills: Zone highlighting toggle - Gradient Colors: Dynamic color intensity - Signal Dots: Entry/exit marker display ## Alerts ARSI includes six comprehensive alert conditions: - **ARSI Overbought** - RSI crosses above overbought level - **ARSI Oversold** - RSI crosses below oversold level - **ARSI Bullish Cross** - RSI crosses above 50 midline - **ARSI Bearish Cross** - RSI crosses below 50 midline - **ARSI Extreme Bull** - Potential bullish reversal from extreme oversold - **ARSI Extreme Bear** - Potential bearish reversal from extreme overbought ## Use Cases **Trend Following**: Adaptive periods naturally adjust during trend acceleration and consolidation phases **Mean Reversion**: Enhanced overbought/oversold signals with volatility-based confirmation **Breakout Trading**: Extreme level breaches often precede significant directional moves **Risk Management**: Multiple signal types allow for layered entry/exit strategies **Multi-Timeframe Analysis**: Works effectively across various timeframes and asset classes ## Trading Applications **Swing Trading**: Excels during trend transitions with adaptive sensitivity to changing conditions **Day Trading**: Enhanced responsiveness during volatile sessions while filtering consolidation noise **Position Trading**: Longer smoothing periods provide stable signals for broader market analysis **Scalping**: Minimal smoothing with high sensitivity captures short-term momentum shifts The indicator performs well across stocks, forex, commodities, and cryptocurrencies, though parameter optimization may be required for specific market characteristics. ## Settings Summary **Display Settings**: - RSI Length: Moving average baseline period - Adaptive Sensitivity: Volatility response factor - ATR Length: Volatility measurement window - Min/Max Period: Adaptive calculation boundaries - Smoothing Length: Noise reduction filter **Level Configuration**: - Overbought/Oversold: Primary signal thresholds - Extreme Levels: Secondary reversal zones - Midline Display: Trend confirmation toggle **Visual Options**: - Line Width: RSI line appearance - Area Fills: Zone highlighting - Gradient Colors: Dynamic visual feedback - Signal Dots: Entry/exit markers ## Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice. Trading involves substantial risk of loss and is not suitable for all investors. Past performance is not indicative of future results. Always conduct thorough testing and risk assessment before live implementation. The adaptive nature of this indicator requires understanding of its behavior across different market conditions for optimal results.
Wskaźnik Pine Script®
od Torseaux
Ticker Pulse Meter BasicPairs nicely with the Contrarian 100 MA located here: and the Enhanced Stock Ticker with 50MA vs 200MA located here: Description The Ticker Pulse Meter Basic is a dynamic Pine Script v6 indicator designed to provide traders with a visual representation of a stock’s price position relative to its short-term and long-term ranges, enabling clear entry and exit signals for long-only trading strategies. By calculating three normalized metrics—Percent Above Long & Above Short, Percent Above Long & Below Short, and Percent Below Long & Below Short—this indicator offers a unique "pulse" of market sentiment, plotted as stacked area charts in a separate pane. With customizable lookback periods, thresholds, and signal plotting options, it empowers traders to identify optimal entry points and profit-taking levels. The indicator leverages Pine Script’s force_overlay feature to plot signals on either the main price chart or the indicator pane, making it versatile for various trading styles. Key Features Pulse Meter Metrics: Computes three percentages based on short-term (default: 50 bars) and long-term (default: 200 bars) lookback periods: Percent Above Long & Above Short: Measures price strength when above both short and long ranges (green area). Percent Above Long & Below Short: Indicates mixed momentum (orange area). Percent Below Long & Below Short: Signals weakness when below both ranges (red area). Flexible Signal Plotting: Toggle between plotting entry (blue dots) and exit (white dots) signals on the main price chart (location.abovebar/belowbar) or in the indicator pane (location.top/bottom) using the Plot Signals on Main Chart option. Entry/Exit Logic: Long Entry: Triggered when Percent Above Long & Above Short crosses above the high threshold (default: 20%) and Percent Below Long & Below Short is below the low threshold (default: 40%). Long Exit: Triggered when Percent Above Long & Above Short crosses above the profit-taking level (default: 95%). Visual Enhancements: Plots stacked area charts with semi-transparent colors (green, orange, red) for intuitive trend analysis. Displays threshold lines for entry (high/low) and profit-taking levels. Includes a ticker and timeframe table in the top-right corner for quick reference. Alert Conditions: Supports alerts for long entry and exit signals, integrable with TradingView’s alert system for automated trading. Technical Innovation: Combines normalized price metrics with Pine Script v6’s force_overlay for seamless signal integration on the price chart or indicator pane. Technical Details Calculation Logic: Uses confirmed bars (barstate.isconfirmed) to calculate metrics, ensuring reliability. Short-term percentage: (close - lowest(low, lookback_short)) / (highest(high, lookback_short) - lowest(low, lookback_short)). Long-term percentage: (close - lowest(low, lookback_long)) / (highest(high, lookback_long) - lowest(low, lookback_long)). Derived metrics: pct_above_long_above_short = (pct_above_long * pct_above_short) * 100. pct_above_long_below_short = (pct_above_long * (1 - pct_above_short)) * 100. pct_below_long_below_short = ((1 - pct_above_long) * (1 - pct_above_short)) * 100. Signal Plotting: Entry signals (long_entry) use ta.crossover to detect when pct_above_long_above_short crosses above entryThresholdhigh and pct_below_long_below_short is below entryThresholdlow. Exit signals (long_exit) use ta.crossover for pct_above_long_above_short crossing above profitTake. Signals are plotted as tiny circles with force_overlay=true for main chart or standard plotting for the indicator pane. Performance Considerations: Optimized for efficiency by calculating metrics only on confirmed bars and using lightweight plotting functions. How to Use Add to Chart: Copy the script into TradingView’s Pine Editor and apply it to your chart. Configure Settings: Short Lookback Period: Adjust the short-term lookback (default: 50 bars) for sensitivity. Long Lookback Period: Set the long-term lookback (default: 200 bars) for broader context. Entry Thresholds: Modify high (default: 20%) and low (default: 40%) thresholds for entry conditions. Profit Take Level: Set the exit threshold (default: 95%) for profit-taking. Plot Signals on Main Chart: Check to display signals on the price chart; uncheck for the indicator pane. Interpret Signals: Long Entry: Blue dots indicate a strong bullish setup when price is high relative to both lookback ranges and weakness is low. Long Exit: White dots signal profit-taking when strength reaches overbought levels. Use the stacked area charts to assess trend strength and momentum. Set Alerts: Create alerts for Long Entry and Long Exit conditions using TradingView’s alert system. Customize Visuals: Adjust colors and thresholds via TradingView’s settings for better visibility. The ticker table displays the symbol and timeframe in the top-right corner. Example Use Cases Swing Trading: Use entry signals to capture short-term bullish moves within a broader uptrend, exiting at profit-taking levels. Trend Confirmation: Monitor the green area (Percent Above Long & Above Short) for sustained bullish momentum. Market Sentiment Analysis: Use the stacked areas to gauge bullish vs. bearish sentiment across timeframes. Notes Testing: Backtest the indicator on your chosen market and timeframe to validate its effectiveness. Compatibility: Built for Pine Script v6 and tested on TradingView as of June 20, 2025. Limitations: Signals are long-only; adapt the script for short strategies if needed. Enhancements: Consider adding a histogram for the difference between metrics or additional thresholds for nuanced trading. Acknowledgments Inspired by public Pine Script examples and designed to simplify complex market dynamics into a clear, actionable tool. For licensing or support, contact Chuck Schultz (@chuckaschultz) on TradingView. Share feedback in the comments, and happy trading!
Wskaźnik Pine Script®
od chuckaschultz
RSI Games 1.2he "RSI Games 1.2" indicator enhances the standard RSI by adding several layers of analysis: Standard RSI Calculation: It calculates the RSI based on a configurable length (default 14 periods) and a user-selected source (default close price). RSI Bands: It plots horizontal lines at 70 (red, overbought), 50 (yellow, neutral), and 30 (green, oversold) to easily identify extreme RSI levels. RSI Smoothing with Moving Averages (MAs) and Bollinger Bands (BBs): You can apply various types of moving averages (SMA, EMA, SMMA, WMA, VWMA) to smooth the RSI line. If you choose "SMA + Bollinger Bands," the indicator will also plot Bollinger Bands around the smoothed RSI, providing dynamic overbought/oversold levels based on volatility. The RSI line itself changes color based on whether it's above (green) or below (red) its smoothing MA. It also fills the area between the RSI and its smoothing MA, coloring it green when RSI is above and red when below. Bollinger Band Signals: When Bollinger Bands are enabled, the indicator marks "Buy" signals (green arrow up) when the RSI crosses above the lower Bollinger Band and "Sell" signals (red arrow down) when it crosses below the upper Bollinger Band. Background Coloring: The background of the indicator pane changes to light green when RSI is below 30 (oversold) and light red when RSI is above 70 (overbought), visually highlighting extreme conditions. Divergence Detection: This is a key feature. The indicator automatically identifies and labels: Regular Bullish Divergence: Price makes a lower low, but RSI makes a higher low. This often signals a potential reversal to the upside. Regular Bearish Divergence: Price makes a higher high, but RSI makes a lower high. This often signals a potential reversal to the downside. Hidden Bullish Divergence: Price makes a higher low, but RSI makes a lower low. This can indicate a continuation of an uptrend. Hidden Bearish Divergence: Price makes a lower high, but RSI makes a higher high. This can indicate a continuation of a downtrend. Divergences are visually marked with labels and can trigger alerts.
Wskaźnik Pine Script®
od petejfjohnson
6
Trend Gauge [BullByte]Trend Gauge Summary A multi-factor trend detection indicator that aggregates EMA alignment, VWMA momentum scaling, volume spikes, ATR breakout strength, higher-timeframe confirmation, ADX-based regime filtering, and RSI pivot-divergence penalty into one normalized trend score. It also provides a confidence meter, a Δ Score momentum histogram, divergence highlights, and a compact, scalable dashboard for at-a-glance status. ________________________________________ ## 1. Purpose of the Indicator Why this was built Traders often monitor several indicators in parallel - EMAs, volume signals, volatility breakouts, higher-timeframe trends, ADX readings, divergence alerts, etc., which can be cumbersome and sometimes contradictory. The “Trend Gauge” indicator was created to consolidate these complementary checks into a single, normalized score that reflects the prevailing market bias (bullish, bearish, or neutral) and its strength. By combining multiple inputs with an adaptive regime filter, scaling contributions by magnitude, and penalizing weakening signals (divergence), this tool aims to reduce noise, highlight genuine trend opportunities, and warn when momentum fades. Key Design Goals Signal Aggregation Merged trend-following signals (EMA crossover, ATR breakout, higher-timeframe confirmation) and momentum signals (VWMA thrust, volume spikes) into a unified score that reflects directional bias more holistically. Market Regime Awareness Implemented an ADX-style filter to distinguish between trending and ranging markets, reducing the influence of trend signals during sideways phases to avoid false breakouts. Magnitude-Based Scaling Replaced binary contributions with scaled inputs: VWMA thrust and ATR breakout are weighted relative to recent averages, allowing for more nuanced score adjustments based on signal strength. Momentum Divergence Penalty Integrated pivot-based RSI divergence detection to slightly reduce the overall score when early signs of momentum weakening are detected, improving risk-awareness in entries. Confidence Transparency Added a live confidence metric that shows what percentage of enabled sub-indicators currently agree with the overall bias, making the scoring system more interpretable. Momentum Acceleration Visualization Plotted the change in score (Δ Score) as a histogram bar-to-bar, highlighting whether momentum is increasing, flattening, or reversing, aiding in more timely decision-making. Compact Informational Dashboard Presented a clean, scalable dashboard that displays each component’s status, the final score, confidence %, detected regime (Trending/Ranging), and a labeled strength gauge for quick visual assessment. ________________________________________ ## 2. Why a Trader Should Use It Main benefits and use cases 1. Unified View: Rather than juggling multiple windows or panels, this indicator delivers a single score synthesizing diverse signals. 2. Regime Filtering: In ranging markets, trend signals often generate false entries. The ADX-based regime filter automatically down-weights trend-following components, helping you avoid chasing false breakouts. 3. Nuanced Momentum & Volatility: VWMA and ATR breakout contributions are normalized by recent averages, so strong moves register strongly while smaller fluctuations are de-emphasized. 4. Early Warning of Weakening: Pivot-based RSI divergence is detected and used to slightly reduce the score when price/momentum diverges, giving a cautionary signal before a full reversal. 5. Confidence Meter: See at a glance how many sub-indicators align with the aggregated bias (e.g., “80% confidence” means 4 out of 5 components agree ). This transparency avoids black-box decisions. 6. Trend Acceleration/Deceleration View: The Δ Score histogram visualizes whether the aggregated score is rising (accelerating trend) or falling (momentum fading), supplementing the main oscillator. 7. Compact Dashboard: A corner table lists each check’s status (“Bull”, “Bear”, “Flat” or “Disabled”), plus overall Score, Confidence %, Regime, Trend Strength label, and a gauge bar. Users can scale text size (Normal, Small, Tiny) without removing elements, so the full picture remains visible even in compact layouts. 8. Customizable & Transparent: All components can be enabled/disabled and parameterized (lengths, thresholds, weights). The full Pine code is open and well-commented, letting users inspect or adapt the logic. 9. Alert-ready: Built-in alert conditions fire when the score crosses weak thresholds to bullish/bearish or returns to neutral, enabling timely notifications. ________________________________________ ## 3. Component Rationale (“Why These Specific Indicators?”) Each sub-component was chosen because it adds complementary information about trend or momentum: 1. EMA Cross o Basic trend measure: compares a faster EMA vs. a slower EMA. Quickly reflects trend shifts but by itself can whipsaw in sideways markets. 2. VWMA Momentum o Volume-weighted moving average change indicates momentum with volume context. By normalizing (dividing by a recent average absolute change), we capture the strength of momentum relative to recent history. This scaling prevents tiny moves from dominating and highlights genuinely strong momentum. 3. Volume Spikes o Sudden jumps in volume combined with price movement often accompany stronger moves or reversals. A binary detection (+1 for bullish spike, -1 for bearish spike) flags high-conviction bars. 4. ATR Breakout o Detects price breaking beyond recent highs/lows by a multiple of ATR. Measures breakout strength by how far beyond the threshold price moves relative to ATR, capped to avoid extreme outliers. This gives a volatility-contextual trend signal. 5. Higher-Timeframe EMA Alignment o Confirms whether the shorter-term trend aligns with a higher timeframe trend. Uses request.security with lookahead_off to avoid future data. When multiple timeframes agree, confidence in direction increases. 6. ADX Regime Filter (Manual Calculation) o Computes directional movement (+DM/–DM), smoothes via RMA, computes DI+ and DI–, then a DX and ADX-like value. If ADX ≥ threshold, market is “Trending” and trend components carry full weight; if ADX < threshold, “Ranging” mode applies a configurable weight multiplier (e.g., 0.5) to trend-based contributions, reducing false signals in sideways conditions. Volume spikes remain binary (optional behavior; can be adjusted if desired). 7. RSI Pivot-Divergence Penalty o Uses ta.pivothigh / ta.pivotlow with a lookback to detect pivot highs/lows on price and corresponding RSI values. When price makes a higher high but RSI makes a lower high (bearish divergence), or price makes a lower low but RSI makes a higher low (bullish divergence), a divergence signal is set. Rather than flipping the trend outright, the indicator subtracts (or adds) a small penalty (configurable) from the aggregated score if it would weaken the current bias. This subtle adjustment warns of weakening momentum without overreacting to noise. 8. Confidence Meter o Counts how many enabled components currently agree in direction with the aggregated score (i.e., component sign × score sign > 0). Displays this as a percentage. A high percentage indicates strong corroboration; a low percentage warns of mixed signals. 9. Δ Score Momentum View o Plots the bar-to-bar change in the aggregated score (delta_score = score - score ) as a histogram. When positive, bars are drawn in green above zero; when negative, bars are drawn in red below zero. This reveals acceleration (rising Δ) or deceleration (falling Δ), supplementing the main oscillator. 10. Dashboard • A table in the indicator pane’s top-right with 11 rows: 1. EMA Cross status 2. VWMA Momentum status 3. Volume Spike status 4. ATR Breakout status 5. Higher-Timeframe Trend status 6. Score (numeric) 7. Confidence % 8. Regime (“Trending” or “Ranging”) 9. Trend Strength label (e.g., “Weak Bullish Trend”, “Strong Bearish Trend”) 10. Gauge bar visually representing score magnitude • All rows always present; size_opt (Normal, Small, Tiny) only changes text size via text_size, not which elements appear. This ensures full transparency. ________________________________________ ## 4. What Makes This Indicator Stand Out • Regime-Weighted Multi-Factor Score: Trend and momentum signals are adaptively weighted by market regime (trending vs. ranging) , reducing false signals. • Magnitude Scaling: VWMA and ATR breakout contributions are normalized by recent average momentum or ATR, giving finer gradation compared to simple ±1. • Integrated Divergence Penalty: Divergence directly adjusts the aggregated score rather than appearing as a separate subplot; this influences alerts and trend labeling in real time. • Confidence Meter: Shows the percentage of sub-signals in agreement, providing transparency and preventing blind trust in a single metric. • Δ Score Histogram Momentum View: A histogram highlights acceleration or deceleration of the aggregated trend score, helping detect shifts early. • Flexible Dashboard: Always-visible component statuses and summary metrics in one place; text size scaling keeps the full picture available in cramped layouts. • Lookahead-Safe HTF Confirmation: Uses lookahead_off so no future data is accessed from higher timeframes, avoiding repaint bias. • Repaint Transparency: Divergence detection uses pivot functions that inherently confirm only after lookback bars; description documents this lag so users understand how and when divergence labels appear. • Open-Source & Educational: Full, well-commented Pine v6 code is provided; users can learn from its structure: manual ADX computation, conditional plotting with series = show ? value : na, efficient use of table.new in barstate.islast, and grouped inputs with tooltips. • Compliance-Conscious: All plots have descriptive titles; inputs use clear names; no unnamed generic “Plot” entries; manual ADX uses RMA; all request.security calls use lookahead_off. Code comments mention repaint behavior and limitations. ________________________________________ ## 5. Recommended Timeframes & Tuning • Any Timeframe: The indicator works on small (e.g., 1m) to large (daily, weekly) timeframes. However: o On very low timeframes (<1m or tick charts), noise may produce frequent whipsaws. Consider increasing smoothing lengths, disabling certain components (e.g., volume spike if volume data noisy), or using a larger pivot lookback for divergence. o On higher timeframes (daily, weekly), consider longer lookbacks for ATR breakout or divergence, and set Higher-Timeframe trend appropriately (e.g., 4H HTF when on 5 Min chart). • Defaults & Experimentation: Default input values are chosen to be balanced for many liquid markets. Users should test with replay or historical analysis on their symbol/timeframe and adjust: o ADX threshold (e.g., 20–30) based on instrument volatility. o VWMA and ATR scaling lengths to match average volatility cycles. o Pivot lookback for divergence: shorter for faster markets, longer for slower ones. • Combining with Other Analysis: Use in conjunction with price action, support/resistance, candlestick patterns, order flow, or other tools as desired. The aggregated score and alerts can guide attention but should not be the sole decision-factor. ________________________________________ ## 6. How Scoring and Logic Works (Step-by-Step) 1. Compute Sub-Scores o EMA Cross: Evaluate fast EMA > slow EMA ? +1 : fast EMA < slow EMA ? -1 : 0. o VWMA Momentum: Calculate vwma = ta.vwma(close, length), then vwma_mom = vwma - vwma . Normalize: divide by recent average absolute momentum (e.g., ta.sma(abs(vwma_mom), lookback)), clip to . o Volume Spike: Compute vol_SMA = ta.sma(volume, len). If volume > vol_SMA * multiplier AND price moved up ≥ threshold%, assign +1; if moved down ≥ threshold%, assign -1; else 0. o ATR Breakout: Determine recent high/low over lookback. If close > high + ATR*mult, compute distance = close - (high + ATR*mult), normalize by ATR, cap at a configured maximum. Assign positive contribution. Similarly for bearish breakout below low. o Higher-Timeframe Trend: Use request.security(..., lookahead=barmerge.lookahead_off) to fetch HTF EMAs; assign +1 or -1 based on alignment. 2. ADX Regime Weighting o Compute manual ADX: directional movements (+DM, –DM), smoothed via RMA, DI+ and DI–, then DX and ADX via RMA. If ADX ≥ threshold, market is considered “Trending”; otherwise “Ranging.” o If trending, trend-based contributions (EMA, VWMA, ATR, HTF) use full weight = 1.0. If ranging, use weight = ranging_weight (e.g., 0.5) to down-weight them. Volume spike stays binary ±1 (optional to change if desired). 3. Aggregate Raw Score o Sum weighted contributions of all enabled components. Count the number of enabled components; if zero, default count = 1 to avoid division by zero. 4. Divergence Penalty o Detect pivot highs/lows on price and corresponding RSI values, using a lookback. When price and RSI diverge (bearish or bullish divergence), check if current raw score is in the opposing direction:  If bearish divergence (price higher high, RSI lower high) and raw score currently positive, subtract a penalty (e.g., 0.5).  If bullish divergence (price lower low, RSI higher low) and raw score currently negative, add a penalty. o This reduces score magnitude to reflect weakening momentum, without flipping the trend outright. 5. Normalize and Smooth o Normalized score = (raw_score / number_of_enabled_components) * 100. This yields a roughly range. o Optional EMA smoothing of this normalized score to reduce noise. 6. Interpretation o Sign: >0 = net bullish bias; <0 = net bearish bias; near zero = neutral. o Magnitude Zones: Compare |score| to thresholds (Weak, Medium, Strong) to label trend strength (e.g., “Weak Bullish Trend”, “Medium Bearish Trend”, “Strong Bullish Trend”). o Δ Score Histogram: The histogram bars from zero show change from previous bar’s score; positive bars indicate acceleration, negative bars indicate deceleration. o Confidence: Percentage of sub-indicators aligned with the score’s sign. o Regime: Indicates whether trend-based signals are fully weighted or down-weighted. ________________________________________ ## 7. Oscillator Plot & Visualization: How to Read It Main Score Line & Area The oscillator plots the aggregated score as a line, with colored fill: green above zero for bullish area, red below zero for bearish area. Horizontal reference lines at ±Weak, ±Medium, and ±Strong thresholds mark zones: crossing above +Weak suggests beginning of bullish bias, above +Medium for moderate strength, above +Strong for strong trend; similarly for bearish below negative thresholds. Δ Score Histogram If enabled, a histogram shows score - score . When positive, bars appear in green above zero, indicating accelerating bullish momentum; when negative, bars appear in red below zero, indicating decelerating or reversing momentum. The height of each bar reflects the magnitude of change in the aggregated score from the prior bar. Divergence Highlight Fill If enabled, when a pivot-based divergence is confirmed: • Bullish Divergence : fill the area below zero down to –Weak threshold in green, signaling potential reversal from bearish to bullish. • Bearish Divergence : fill the area above zero up to +Weak threshold in red, signaling potential reversal from bullish to bearish. These fills appear with a lag equal to pivot lookback (the number of bars needed to confirm the pivot). They do not repaint after confirmation, but users must understand this lag. Trend Direction Label When score crosses above or below the Weak threshold, a small label appears near the score line reading “Bullish” or “Bearish.” If the score returns within ±Weak, the label “Neutral” appears. This helps quickly identify shifts at the moment they occur. Dashboard Panel In the indicator pane’s top-right, a table shows: 1. EMA Cross status: “Bull”, “Bear”, “Flat”, or “Disabled” 2. VWMA Momentum status: similarly 3. Volume Spike status: “Bull”, “Bear”, “No”, or “Disabled” 4. ATR Breakout status: “Bull”, “Bear”, “No”, or “Disabled” 5. Higher-Timeframe Trend status: “Bull”, “Bear”, “Flat”, or “Disabled” 6. Score: numeric value (rounded) 7. Confidence: e.g., “80%” (colored: green for high, amber for medium, red for low) 8. Regime: “Trending” or “Ranging” (colored accordingly) 9. Trend Strength: textual label based on magnitude (e.g., “Medium Bullish Trend”) 10. Gauge: a bar of blocks representing |score|/100 All rows remain visible at all times; changing Dashboard Size only scales text size (Normal, Small, Tiny). ________________________________________ ## 8. Example Usage (Illustrative Scenario) Example: BTCUSD 5 Min 1. Setup: Add “Trend Gauge ” to your BTCUSD 5 Min chart. Defaults: EMAs (8/21), VWMA 14 with lookback 3, volume spike settings, ATR breakout 14/5, HTF = 5m (or adjust to 4H if preferred), ADX threshold 25, ranging weight 0.5, divergence RSI length 14 pivot lookback 5, penalty 0.5, smoothing length 3, thresholds Weak=20, Medium=50, Strong=80. Dashboard Size = Small. 2. Trend Onset: At some point, price breaks above recent high by ATR multiple, volume spikes upward, faster EMA crosses above slower EMA, HTF EMA also bullish, and ADX (manual) ≥ threshold → aggregated score rises above +20 (Weak threshold) into +Medium zone. Dashboard shows “Bull” for EMA, VWMA, Vol Spike, ATR, HTF; Score ~+60–+70; Confidence ~100%; Regime “Trending”; Trend Strength “Medium Bullish Trend”; Gauge ~6–7 blocks. Δ Score histogram bars are green and rising, indicating accelerating bullish momentum. Trader notes the alignment. 3. Divergence Warning: Later, price makes a slightly higher high but RSI fails to confirm (lower RSI high). Pivot lookback completes; the indicator highlights a bearish divergence fill above zero and subtracts a small penalty from the score, causing score to stall or retrace slightly. Dashboard still bullish but score dips toward +Weak. This warns the trader to tighten stops or take partial profits. 4. Trend Weakens: Score eventually crosses below +Weak back into neutral; a “Neutral” label appears, and a “Neutral Trend” alert fires if enabled. Trader exits or avoids new long entries. If score subsequently crosses below –Weak, a “Bearish” label and alert occur. 5. Customization: If the trader finds VWMA noise too frequent on this instrument, they may disable VWMA or increase lookback. If ATR breakouts are too rare, adjust ATR length or multiplier. If ADX threshold seems off, tune threshold. All these adjustments are explained in Inputs section. 6. Visualization: The screenshot shows the main score oscillator with colored areas, reference lines at ±20/50/80, Δ Score histogram bars below/above zero, divergence fill highlighting potential reversal, and the dashboard table in the top-right. ________________________________________ ## 9. Inputs Explanation A concise yet clear summary of inputs helps users understand and adjust: 1. General Settings • Theme (Dark/Light): Choose background-appropriate colors for the indicator pane. • Dashboard Size (Normal/Small/Tiny): Scales text size only; all dashboard elements remain visible. 2. Indicator Settings • Enable EMA Cross: Toggle on/off basic EMA alignment check. o Fast EMA Length and Slow EMA Length: Periods for EMAs. • Enable VWMA Momentum: Toggle VWMA momentum check. o VWMA Length: Period for VWMA. o VWMA Momentum Lookback: Bars to compare VWMA to measure momentum. • Enable Volume Spike: Toggle volume spike detection. o Volume SMA Length: Period to compute average volume. o Volume Spike Multiplier: How many times above average volume qualifies as spike. o Min Price Move (%): Minimum percent change in price during spike to qualify as bullish or bearish. • Enable ATR Breakout: Toggle ATR breakout detection. o ATR Length: Period for ATR. o Breakout Lookback: Bars to look back for recent highs/lows. o ATR Multiplier: Multiplier for breakout threshold. • Enable Higher Timeframe Trend: Toggle HTF EMA alignment. o Higher Timeframe: E.g., “5” for 5-minute when on 1-minute chart, or “60” for 5 Min when on 15m, etc. Uses lookahead_off. • Enable ADX Regime Filter: Toggles regime-based weighting. o ADX Length: Period for manual ADX calculation. o ADX Threshold: Value above which market considered trending. o Ranging Weight Multiplier: Weight applied to trend components when ADX < threshold (e.g., 0.5). • Scale VWMA Momentum: Toggle normalization of VWMA momentum magnitude. o VWMA Mom Scale Lookback: Period for average absolute VWMA momentum. • Scale ATR Breakout Strength: Toggle normalization of breakout distance by ATR. o ATR Scale Cap: Maximum multiple of ATR used for breakout strength. • Enable Price-RSI Divergence: Toggle divergence detection. o RSI Length for Divergence: Period for RSI. o Pivot Lookback for Divergence: Bars on each side to identify pivot high/low. o Divergence Penalty: Amount to subtract/add to score when divergence detected (e.g., 0.5). 3. Score Settings • Smooth Score: Toggle EMA smoothing of normalized score. • Score Smoothing Length: Period for smoothing EMA. • Weak Threshold: Absolute score value under which trend is considered weak or neutral. • Medium Threshold: Score above Weak but below Medium is moderate. • Strong Threshold: Score above this indicates strong trend. 4. Visualization Settings • Show Δ Score Histogram: Toggle display of the bar-to-bar change in score as a histogram. Default true. • Show Divergence Fill: Toggle background fill highlighting confirmed divergences. Default true. Each input has a tooltip in the code. ________________________________________ ## 10. Limitations, Repaint Notes, and Disclaimers 10.1. Repaint & Lag Considerations • Pivot-Based Divergence Lag: The divergence detection uses ta.pivothigh / ta.pivotlow with a specified lookback. By design, a pivot is only confirmed after the lookback number of bars. As a result: o Divergence labels or fills appear with a delay equal to the pivot lookback. o Once the pivot is confirmed and the divergence is detected, the fill/label does not repaint thereafter, but you must understand and accept this lag. o Users should not treat divergence highlights as predictive signals without additional confirmation, because they appear after the pivot has fully formed. • Higher-Timeframe EMA Alignment: Uses request.security(..., lookahead=barmerge.lookahead_off), so no future data from the higher timeframe is used. This avoids lookahead bias and ensures signals are based only on completed higher-timeframe bars. • No Future Data: All calculations are designed to avoid using future information. For example, manual ADX uses RMA on past data; security calls use lookahead_off. 10.2. Market & Noise Considerations • In very choppy or low-liquidity markets, some components (e.g., volume spikes or VWMA momentum) may be noisy. Users can disable or adjust those components’ parameters. • On extremely low timeframes, noise may dominate; consider smoothing lengths or disabling certain features. • On very high timeframes, pivots and breakouts occur less frequently; adjust lookbacks accordingly to avoid sparse signals. 10.3. Not a Standalone Trading System • This is an indicator, not a complete trading strategy. It provides signals and context but does not manage entries, exits, position sizing, or risk management. • Users must combine it with their own analysis, money management, and confirmations (e.g., price patterns, support/resistance, fundamental context). • No guarantees: past behavior does not guarantee future performance. 10.4. Disclaimers • Educational Purposes Only: The script is provided as-is for educational and informational purposes. It does not constitute financial, investment, or trading advice. • Use at Your Own Risk: Trading involves risk of loss. Users should thoroughly test and use proper risk management. • No Guarantees: The author is not responsible for trading outcomes based on this indicator. • License: Published under Mozilla Public License 2.0; code is open for viewing and modification under MPL terms. ________________________________________ ## 11. Alerts • The indicator defines three alert conditions: 1. Bullish Trend: when the aggregated score crosses above the Weak threshold. 2. Bearish Trend: when the score crosses below the negative Weak threshold. 3. Neutral Trend: when the score returns within ±Weak after being outside. Good luck – BullByte
Wskaźnik Pine Script®
od BullByte
3
Gorgo's Hybrid Oscillator STrategy**Indicator Name:** Gorgo's Hybrid Oscillator STrategy (G.H.O.S.T.) **Purpose:** The Gorgo's Hybrid Oscillator STrategy (G.H.O.S.T.) is a multi-component technical analysis tool designed to identify overbought and oversold market conditions, assess trend strength, and signal potential buy and sell opportunities. By combining elements from RSI, Ultimate Oscillator, Stochastic CCI, and ADX, this custom indicator provides a comprehensive view of momentum, trend intensity, and volume context to enhance decision-making. --- **Components and Logic:** 1. **RSI (Relative Strength Index):** * Calculated using a customizable period (default: 14) and based on the hlc3 price source. * Measures recent price changes to evaluate overbought/oversold conditions. * Incorporated in the final oscillator average. 2. **Ultimate Oscillator:** * Combines three timeframes (7, 14, 28 by default) to smooth out price movements. * Uses true range and buying pressure for multi-frame momentum analysis. * Averaged together with RSI to create the main oscillator signal. 3. **Stochastic CCI:** * Applies a stochastic process to the Commodity Channel Index (CCI). * Smooths the %K and %D lines (default: 3 each) to detect subtle reversals. * Generates oversold (<35) and overbought (>69) signals, plotted as yellow circles. 4. **ADX + DI (Average Directional Index):** * Determines trend strength using ADX and directional movement indicators (DI). * ADX threshold is set at 24 by default to filter weak trends. * Colored histogram columns: * Green: Strong bullish trend. * Red: Strong bearish trend. * Gray: Weak/no trend. 5. **Volume Analysis:** * Calculates a 9-period SMA of volume. * Detects significant volume spikes (2.7× the average by default) to validate breakouts or fakeouts. 6. **Oscillator Output ("osc") and Levels:** * The main plotted oscillator line is the average of the RSI and Ultimate Oscillator. * Important horizontal lines: * Overbought (69.0) * Oversold (35.0) * Midline (52.0): Neutral reference point. * ADX threshold line (24.0) --- **Signals:** 1. **Buy Signal Conditions:** * Close is less than or equal to open (candle is red). * Oscillator is decreasing and below oversold level. * Stochastic CCI is below midline. * Volume is above average, or excessive volume with oscillator falling below 40. * ADX confirms trend presence (either above 15 or meeting threshold). 2. **Sell Signal Conditions:** * ADX increasing and confirming trend. * Oscillator is increasing and above overbought level. * Stochastic CCI is above midline. * Volume is above average, or very high with oscillator above 60. 3. **Visual Feedback:** * Yellow dots highlight oversold/overbought Stochastic CCI. * Oscillator line in cyan. * Background colors: * Light red for buy signals. * White for sell signals. 4. **Alerts:** * Built-in `alertcondition()` calls allow automated alerts for buy and sell events. --- **Usage Guide:** * **Best Use Cases:** Trend-following and reversal strategies on any timeframe. * **Avoid Using Alone:** Use G.H.O.S.T. in conjunction with price action, support/resistance, and other confluence tools. * **Customization:** All thresholds, periods, and volumes are user-editable from the settings panel. --- **Interpretation Summary:** G.H.O.S.T. excels at filtering out noise by combining different oscillators and volume signals to offer contextually valid entries and exits. A bullish (buy) signal typically suggests a market under pressure but potentially bottoming out, while a bearish (sell) signal highlights likely exhaustion after a strong upward push. This hybrid approach makes the G.H.O.S.T. a reliable ally in volatile or choppy conditions where single-indicator strategies might fail.
Wskaźnik Pine Script®
od Gorgomannaro
1
Volumetric Expansion/Contraction### Indicator Title: Volumetric Expansion/Contraction ### Summary The Volumetric Expansion/Contraction (PCC) indicator is a comprehensive momentum oscillator designed to identify high-conviction price moves. Unlike traditional oscillators that only look at price, the PCC integrates four critical dimensions of market activity: **Price Change**, **Relative Volume (RVOL)**, **Cumulative Volume Delta (CVD)**, and **Average True Range (ATR)**. Its primary purpose is to help traders distinguish between meaningful, volume-backed market expansions and noisy, unsustainable price action. It gives more weight to moves that occur in a controlled, low-volatility environment, highlighting potential starts of new trends or significant shifts in market sentiment. ### Key Concepts & Purpose The indicator's unique formula synthesizes the following concepts: 1. **Price Change:** Measures the magnitude and direction of the primary move. 2. **Relative Volume (RVOL):** Confirms that the move is backed by significant volume compared to its recent average, indicating institutional participation. 3. **Cumulative Volume Delta (CVD):** Measures the underlying buying and selling pressure, confirming that the price move is aligned with the net flow of market orders. 4. **Inverse Volatility (ATR):** This is the indicator's unique twist. It normalizes the signal by the inverse of the Average True Range. This means the indicator's value is **amplified** when volatility (ATR) is low (signifying a controlled, confident expansion) and **dampened** when volatility is high (filtering out chaotic, less predictable moves). The goal is to provide a single, easy-to-read oscillator that signals when price, volume, and order flow are all in alignment, especially during a breakout from a period of contraction. ### Features * **Main Oscillator Line:** A single line plotted in a separate pane that represents the calculated strength of the volumetric expansion or contraction. * **Zero Line:** A dotted reference line to easily distinguish between bullish (above zero) and bearish (below zero) regimes. * **Visual Threshold Zones:** The background automatically changes color to highlight periods of significant strength: * **Bright Green:** Indicates a "Strong Up Move" when the oscillator crosses above the user-defined upper threshold. * **Bright Fuchsia:** Indicates a "Strong Down Move" when the oscillator crosses below the user-defined lower threshold. ### Configurable Settings & Filters The indicator is fully customizable to allow for extensive testing and adaptation to different assets and timeframes. #### Main Calculation Inputs * **Price Change Lookback:** Sets the period for calculating the primary price change. * **CVD Normalization Length:** The lookback period for normalizing the Cumulative Volume Delta. * **RVOL Avg Volume Length:** The lookback for the simple moving average of volume, used to calculate RVOL. * **RVOL Normalization Length:** The lookback period for normalizing the RVOL score. * **ATR Length & Normalization Length:** Sets the periods for calculating the ATR and its longer-term average for normalization. #### Weights * Fine-tune the impact of each core component on the final calculation, allowing you to emphasize what matters most to your strategy (e.g., give more weight to CVD or RVOL). #### External Market Filter (Powerful Feature) * **Enable SPY/QQQ Filter for Up Moves?:** A checkbox to activate a powerful regime filter. * **Symbol:** A dropdown to choose whether to filter signals based on the trend of **SPY** or **QQQ**. * **SMA Period:** Sets the lookback period for the Simple Moving Average (default is 50). * **How it works:** When enabled, this filter will **only allow "Strong Up Move" signals to appear if the chosen symbol (SPY or QQQ) is currently trading above its specified SMA**. This is an excellent tool for aligning your signals with the broader market trend and avoiding bullish entries in a bearish market. #### Visuals * **Upper/Lower Threshold:** Allows you to define what level the oscillator must cross to trigger the colored background zones, letting you customize the indicator's sensitivity. *** **Disclaimer:** This tool is designed for market analysis and confluence. It is not a standalone trading system. Always use this indicator in conjunction with your own trading strategy, risk management, and other forms of analysis.
Wskaźnik Pine Script®
od phonzietrade
1
Ultimate Williams %RUltimate Williams %R The most advanced Williams %R indicator available - featuring multi-timeframe analysis, zero-lag processing, volatility adaptivity, and intelligent extreme zone detection. Key Improvements Over Standard Williams %R Multi-Timeframe: Combines short, medium, and long-term Williams %R calculations with Ultimate Oscillator-style weighting for superior signal quality Zero-Lag Implementation: Utilizes Ehler's Zero-Lag EMA with error correction, eliminating traditional oscillator lag while maintaining smoothness Volatility Adaptive: Automatically adjusts periods based on ATR volatility analysis for optimal performance in all market conditions Z-Score Normalization: Provides consistent, statistically-based extreme level detection across different market environments Perfect For Overbought/Oversold Identification: Instantly spot extreme market conditions with visual intensity that scales with signal strength Divergence Analysis: Enhanced responsiveness and smooth operation make divergence patterns clearer and more reliable Multi-Timeframe Confirmation: Built-in timeframe combination eliminates the need for multiple Williams %R indicators Entry/Exit Timing: Zero-lag processing provides earlier signals without sacrificing accuracy Customizable Settings Timeframe Periods: Adjustable short (7), medium (14), and long (28) periods Volatility Adaptation: Configurable ATR-based period adjustment Zero-Lag Processing: Toggle and fine-tune the smoothing system Z-Score Normalization: Adjustable lookback period for statistical analysis Extreme Levels: Customizable threshold for extreme signal detection
Wskaźnik Pine Script®
od B3AR_Trades
1
Smarter Money Flow Divergence Detector [PhenLabs]📊 Smarter Money Flow Divergence Detector Version: PineScript™ v6 📌 Description SMFD was developed to help give you guys a better ability to “read” what is going on behind the scenes without directly having access to that level of data. SMFD is an enhanced divergence detection indicator that identifies money flow patterns from advanced volume analysis and price action correspondence. The detection portion of this indicator combines intelligent money flow calculations with multi timeframe volume analysis to help you see hidden accumulation and distribution phases before major price movements occur. The indicator measures institutional trading activity by looking at volume surges, price volume dynamics, and the factors of momentum to construct an overall picture of market sentiment. It’s built to assist traders in identifying high probability entries by identifying if smart money is positioning against price action. 🚀 Points of Innovation ● Advanced Smart Money Flow algorithm with volume spike detection and large trade weighting ● Multi timeframe volume analysis for enhanced institutional activity detection ● Dynamic overbought/oversold zones that adapt to current market conditions ● Enhanced divergence detection with pivot confirmation and strength validation ● Color themes with customizable visual styling options ● Real time institutional bias tracking through accumulation/distribution analysis 🔧 Core Components ● Smart Money Flow Calculation: Combines price momentum, volume expansion, and VWAP analysis ● Institutional Bias Oscillator: Tracks accumulation/distribution patterns with volume pressure analysis ● Enhanced Divergence Engine: Detects bullish/bearish divergences with multiple confirmation factors ● Dynamic Zone Detection: Automatically adjusts overbought/oversold levels based on market volatility ● Volume Pressure Analysis: Measures buying vs selling pressure over configurable periods ● Multi factor Signal System: Generates entries with trend alignment and strength validation 🔥 Key Features ● Smart Money Flow Period: Configurable calculation period for institutional activity detection ● Volume Spike Threshold: Adjustable multiplier for detecting unusual institutional volume ● Large Trade Weight: Emphasis factor for high volume periods in flow calculations ● Pivot Detection: Customizable lookback period for accurate divergence identification ● Signal Sensitivity: Three tier system (Conservative/Medium/Aggressive) for signal generation ● Themes: Four color schemes optimized for different chart backgrounds 🎨 Visualization ● Main Oscillator: Line, Area, or Histogram display styles with dynamic color coding ● Institutional Bias Line: Real time tracking of accumulation/distribution phases ● Dynamic Zones: Adaptive overbought/oversold boundaries with gradient fills ● Divergence Lines: Automatic drawing of bullish/bearish divergence connections ● Entry Signals: Clear BUY/SELL labels with signal strength indicators ● Information Panel: Real time statistics and status updates in customizable positions 📖 Usage Guidelines Algorithm Settings ● Smart Money Flow Period ○ Default: 20 ○ Range: 5-100 ○ Description: Controls the calculation period for institutional flow analysis. Higher values provide smoother signals but reduce responsiveness to recent activity ● Volume Spike Threshold ○ Default: 1.8 ○ Range: 1.0-5.0 ○ Description: Multiplier for detecting unusual volume activity indicating institutional participation. Higher values require more extreme volume for detection ● Large Trade Weight ○ Default: 2.5 ○ Range: 1.5-5.0 ○ Description: Weight applied to high volume periods in smart money calculations. Increases emphasis on institutional sized transactions Divergence Detection ● Pivot Detection Period ○ Default: 12 ○ Range: 5-50 ○ Description: Bars to analyze for pivot high/low identification. Affects divergence accuracy and signal frequency ● Minimum Divergence Strength ○ Default: 0.25 ○ Range: 0.1-1.0 ○ Description: Required price change percentage for valid divergence patterns. Higher values filter out weaker signals ✅ Best Use Cases ● Trading with intraday to daily timeframes for institutional position identification ● Confirming trend reversals when divergences align with support/resistance levels ● Entry timing in trending markets when institutional bias supports the direction ● Risk management by avoiding trades against strong institutional positioning ● Multi timeframe analysis combining short term signals with longer term bias ⚠️ Limitations ● Requires sufficient volume for accurate institutional detection in low volume markets ● Divergence signals may have false positives during highly volatile news events ● Best performance on liquid markets with consistent institutional participation ● Lagging nature of volume based calculations may delay signal generation ● Effectiveness reduced during low participation holiday periods 💡 What Makes This Unique ● Multi Factor Analysis: Combines volume, price, and momentum for comprehensive institutional detection ● Adaptive Zones: Dynamic overbought/oversold levels that adjust to market conditions ● Volume Intelligence: Advanced algorithms identify institutional sized transactions ● Professional Visualization: Multiple display styles with customizable themes ● Confirmation System: Multiple validation layers reduce false signal generation 🔬 How It Works 1. Volume Analysis Phase: ● Analyzes current volume against historical averages to identify institutional activity ● Applies multi timeframe analysis for enhanced detection accuracy ● Calculates volume pressure through buying vs selling momentum 2. Smart Money Flow Calculation: ● Combines typical price with volume weighted analysis ● Applies institutional trade weighting for high volume periods ● Generates directional flow based on price momentum and volume expansion 3. Divergence Detection Process: ● Identifies pivot highs/lows in both price and indicator values ● Validates divergence strength against minimum threshold requirements ● Confirms signals through multiple technical factors before generation 💡 Note: This indicator works best when combined with proper risk management and position sizing. The institutional bias component helps identify market sentiment shifts, while divergence signals provide specific entry opportunities. For optimal results, use on liquid markets with consistent institutional participation and combine with additional technical analysis methods.
Wskaźnik Pine Script®
od PhenLabs
Rolling Z-Score Trend [QuantAlgo]🟢 Overview The Rolling Z-Score Trend measures how far the current price deviates from its rolling mean in terms of standard deviations. It transforms price data into standardized scores to identify overbought and oversold conditions while tracking momentum shifts. The indicator displays a Z-Score line showing price deviation from statistical norms, with background momentum columns showing the rate of change in these deviations. This helps traders and investors identify mean reversion opportunities and momentum shifts across different asset classes and timeframes. 🟢 How It Works The indicator uses the Z-Score formula: Z = (X - μ) / σ, where X is the current closing price, μ is the rolling mean, and σ is the rolling standard deviation over a user-defined lookback period. This creates a dynamic baseline that adapts to changing market conditions and standardizes price movements for interpretation across different assets and volatility conditions. The raw Z-Score undergoes 3-period EMA smoothing to reduce noise while maintaining responsiveness to market signals. Beyond the basic Z-Score calculation, the indicator measures the rate of change in Z-Score values between successive bars, displayed as background momentum columns. This momentum component shows acceleration and deceleration of statistical deviations. All calculations are processed through confirmation filters, displaying signals only on confirmed bars to reduce premature signals based on incomplete price action. 🟢 How to Use 1. Z-Score Interpretation and Threshold Zones Positive Values (Above Zero) : Price trading above statistical mean, suggesting bullish momentum or potential overbought conditions Negative Values (Below Zero) : Price trading below statistical mean, suggesting bearish momentum or potential oversold conditions Zero Line Crosses : Signal transitions between statistical regimes and potential trend changes Upper Threshold Zone : Area above entry threshold (default 1.5) indicating potential overbought conditions Lower Threshold Zone : Area below negative entry threshold (default -1.5) indicating potential oversold conditions Extreme Values (±2.0 or higher) : Statistically significant deviations that may indicate reversal opportunities 2. Momentum Background Analysis and Info Table Green Columns : Accelerating positive momentum in Z-Score values Red Columns : Accelerating negative momentum in Z-Score values Column Height : Magnitude of momentum change between bars Momentum Divergence : When columns contradict primary Z-Score direction, often signals impending reversals Info Table : Displays real-time numerical values for both Z-Score and momentum, including trend direction indicators and bar-to-bar change calculations for position management 3. Preconfigured Settings Default : Balanced performance across multiple timeframes and asset classes for general trading and medium-term position management. Scalping : Responsive setup for ultra-short-term trading on 1-15 minute charts with frequent signals and increased sensitivity to quick price movements. Swing Trading : Optimized for multi-day positions with noise filtering, focusing on larger price swings. Most effective on 1-4 hour and daily timeframes. Trend Following : Maximum smoothing that prioritizes established trends over short-term volatility. Generates fewer signals for daily and weekly charts.
Wskaźnik Pine Script®
od QuantAlgo
25
Trend Flow Trail [AlgoAlpha]OVERVIEW This script overlays a custom hybrid indicator called the Money Flow Trail which combines a volatility-based trend-following trail with a volume-weighted momentum oscillator. It’s built around two core components: the AlphaTrail—a dynamic band system influenced by Hull MA and volatility—and a smoothed Money Flow Index (MFI) that provides insights into buying or selling pressure. Together, these tools are used to color bars, generate potential reversal markers, and assist traders in identifying trend continuation or exhaustion phases in any market or timeframe. CONCEPTS The AlphaTrail calculates a volatility-adjusted channel around price using the Hull Moving Average as the base and an EMA of range as the spread. It adaptively shifts based on price interaction to capture trend reversals while avoiding whipsaws. The direction (bullish or bearish) determines both the band being tracked and how the trail locks in. The Money Flow Index (MFI) is derived from hlc3 and volume, measuring buying vs selling pressure, and is further smoothed with a short Hull MA to reduce noise while preserving structure. These two systems work in tandem: AlphaTrail governs directional context, while MFI refines the timing. FEATURES Dynamic AlphaTrail line with regime switching logic that controls directional bias and bar coloring. Smoothed MFI with gradient coloring to visually communicate pressure and exhaustion levels. Overbought/oversold thresholds (80/20), mid-level (50), and custom extreme zones (90/10) for deeper signal granularity. Built-in take-profit signal logic: crossover of MFI into overbought with bullish AlphaTrail, or into oversold with bearish AlphaTrail. Visual fills between price and AlphaTrail for clearer confirmation during trend phases. Alerts for regime shifts, MFI crossovers, trail interactions, and bar color regime changes. USAGE Add the indicator to any chart. Use the AlphaTrail plot to define trend context: bullish (trailing below price) or bearish (trailing above). MFI values give supporting confirmation—favor long setups when MFI is rising and above 50 in a bullish regime, and shorts when MFI is falling and below 50 in a bearish regime. The colored fills help visually track strength; sharp changes in MFI crossing 80/20 or 90/10 zones often precede pullbacks or reversals. Use the plotted circles as optional take-profit signals when MFI and trend are extended. Adjust AlphaTrail length/multiplier and MFI smoothing to better match the asset’s volatility profile.
Wskaźnik Pine Script®
od AlgoAlpha
20
MTF RSI MA System + Adaptive BandsMTF RSI MA System + Adaptive Bands Overview MTF RSI MA System + Adaptive Bands is a highly customizable Pine Script indicator for traders seeking a versatile tool for multi-timeframe (MTF) analysis. Unlike traditional RSI, it focuses on the Moving Average of RSI (RSI MA), delivering smoother and more flexible trading signals. The main screenshot displays the indicator in two panels to showcase its diverse capabilities. Important: Timeframes do not adjust automatically – users must manually set them to match the chart’s timeframe. Features Core Component: Built around RSI MA, not raw RSI, for smoother trend signals. Multi-Timeframe: Analyze RSI MA across three customizable timeframes (default: 4H, 8H, 12H). Adaptive Bands: Three band calculation methods (Fixed, Percent, StdDev) for dynamic signals. Flexible Signals: Generated via RSI MA crossovers, band interactions, or directional alignment across timeframes. Background Coloring: Highlights when RSI MAs across timeframes move in the same direction, aiding trend confirmation. Screenshot Panels Configuration Upper Panel: Shows RSI, RSI MA, and fixed bands for reversal strategies (RSI crossing bands). Lower Panel: Displays three RSI MAs (Alligator-style) for trend-following, with background coloring for directional alignment. Band Calculation Methods The indicator offers three ways to calculate bands around RSI MA, each with unique characteristics: Fixed Bands Set at a fixed point value (default: 10) above and below RSI MA. Example: If RSI MA = 50, band value = 10 → upper band = 60, lower = 40. Use Case: Best for stable markets or fixed-range preferences. Tip: Adjust the band value to widen or narrow the range based on asset volatility. Percent Bands Calculated as a percentage of RSI MA (default: 10%). Example: If RSI MA = 50, band value = 10% → upper band = 55, lower = 45. Use Case: Ideal for assets with varying volatility, as bands scale with RSI MA. Tip: Experiment with percentage values to match typical price swings. Standard Deviation Bands (StdDev) Based on RSI’s standard deviation over the MA period, multiplied by a user-defined factor (default: 10). Example: If RSI MA = 50, standard deviation = 5, factor = 2 → upper band = 60, lower = 40. Important: The default value (10) may produce wide bands. Reduce to 1–2 for tighter, practical bands. Use Case: Best for dynamic markets with fluctuating volatility. Configuration Options RSI Length: Set RSI calculation period (default: 20). MA Length: Set RSI MA period (default: 20). MA Type: Choose SMA or EMA for RSI MA (default: EMA). Timeframes: Configure three timeframes (default: 4H, 8H, 12H) for MTF analysis. Overbought/Oversold Levels: Optionally display fixed levels (default: 70/30). Background Coloring: Enable/disable for each timeframe to highlight directional alignment. How to Use Add Indicator: Load it onto your TradingView chart. Setup: Reversals: Configure like the upper panel (RSI, RSI MA, bands) and watch for RSI crossing bands. Trends: Configure like the lower panel (three RSI MAs) and look for fastest MA crossovers and background coloring. Adjust Timeframes: Manually set tf1, tf2, tf3 (e.g., 1H, 2H, 4H on a 1H chart) to suit your strategy. Adjust Bands: Choose band type (Fixed, Percent, StdDev) and value. For StdDev, reduce to 1–2 for tighter bands. Experiment: Test settings to match your trading style, whether scalping, swing trading, or long-term. Notes Timeframes: Always match tf1, tf2, tf3 to your chart’s needs, as they don’t auto-adjust. StdDev Bands: Lower the default value (10) to avoid overly wide bands. Versatility: Works across markets (stocks, forex, crypto).
Wskaźnik Pine Script®
od Uncle_the_shooter
Market Matrix ViewThis technical indicator is designed to provide traders with a quick and integrated view of market dynamics by combining several popular indicators into a single tool. It's not a magic bullet, but a practical aid for analyzing buying/selling pressure, trends, volume, and divergences, saving you time in the decision-making process. Built for flexibility, the indicator adapts to various trading styles (scalping, swing, or long-term) and offers customizable settings to suit your needs. 🟡 Multi-Timeframe Trends ➤ This section displays the trend direction (bullish, bearish, or neutral) across 15-minute, 1-hour, 4-hour, and Daily timeframes, providing multi-timeframe market context. Timeframes lower than the one currently selected will show "N/A." ➤It utilizes fast and slow Exponential Moving Averages (EMAs) for each timeframe: 15m: Fast EMA 42, Slow EMA 170 1h: Fast EMA 40, Slow EMA 100 4h: Fast EMA 36, Slow EMA 107 Daily: Fast EMA 20, Slow EMA 60 🟡 Smart Flow & RVOL ➤ This section displays "Buying Pressure" or "Selling Pressure" signals based on indicator confluence, alongside volume activity ("High Activity," "Normal Activity," or "Low Activity"). ➤ Smart Flow combines Chaikin Money Flow (CMF) and Money Flow Index (MFI) to detect buying/selling pressure. CMF measures money flow based on price position within the high-low range, while MFI analyzes money flow considering typical price and volume. A signal is generated only when both indicators simultaneously increase/decrease beyond an adjustable threshold ("Buy/Sell Sensitivity") and volume exceeds a Simple Moving Average (SMA) scaled by the "Volume Multiplier." ➤ RVOL (Relative Volume) calculates relative volume separately for bullish and bearish candles, comparing recent volume (fast SMA) with a reference volume (slow SMA). Thresholds are adjusted based on the selected mode. 🟡 ADX & RSI This section displays trend strength ("Strong," "Moderate," or "Weak"), its direction ("Bullish" or "Bearish"), and the RSI momentum status ("Overbought," "Oversold," "Buy/Sell Momentum," or "Neutral"). ➤ ADX (Average Directional Index) measures trend strength (above 40 = "Strong," 20–40 = "Moderate," below 20 = "Weak"). Direction is determined by comparing +DI (upward movement) with -DI (downward movement). Additionally, an arrow indicates whether the trend's strength is decreasing or increasing. ➤RSI (Relative Strength Index) evaluates price momentum. Extreme levels (above 80/85 = "Overbought," below 15/20 = "Oversold") and intermediate zones (47–53 = "Neutral," above 53 = "Buy Momentum," below 47 = "Sell Momentum") are adjusted based on the selected mode. 🟡 When these signals are active for a potential trade setup, the table's background lights up green or red, respectively. 🟡 Volume Spikes ➤This feature highlights bars with significantly higher volume than the recent average, coloring them yellow on the chart to draw attention to intense market activity. ➤It uses the Z-Score method to detect volume anomalies. Current volume is compared to a 10-bar Simple Moving Average (SMA) and the standard deviation of volume over the same period. If the Z-Score exceeds a certain threshold, the bar is marked as a volume spike. 🟡 Divergences (Volume Divergence Detection) ➤ This feature marks divergences between price and technical indicators on the chart, using diamond-shaped labels (green for bullish divergences, red for bearish divergences) to signal potential trend reversals. ➤ It compares price deviations from a Simple Moving Average (SMA) with deviations of three indicators: Chaikin Money Flow (CMF), Money Flow Index (MFI), and On-Balance Volume (OBV). A bullish divergence occurs when price falls below its average, but CMF, MFI, and OBV rise above their averages, indicating hidden accumulation. A bearish divergence occurs when price rises above its average, but CMF, MFI, and OBV fall, suggesting distribution. The length of the moving averages is adjustable (default 13/10/5 bars for Scalping/Balanced/Swing), and detection thresholds are scaled by "Divergence Sensitivity" (default 1.0). 🟡 Adaptive Stop-Loss (ATR) ➤Draws dynamic stop-loss lines (red, dashed) on the chart for buy or sell signals, helping traders manage risk.Uses the Average True Range (ATR) to calculate stop-loss levels, set at low/high ± ATR × multiplier 🟡 Alerts for trend direction changes in the Info Panel: ➤ Triggers notifications when the trend shifts to Bullish (when +DI crosses above -DI) or Bearish (when +DI crosses below -DI), helping you stay informed about key market shifts. How to use: Set alerts in Trading View for “Trend Changed to Bullish” or “Trend Changed to Bearish” with “Once Per Bar Close” for reliable signals. 🟡 Settings (Inputs) ➤ The indicator offers customizable settings to fit your trading style, but it's already optimized for Scalping (1m–15m), Balanced (16m–3h59m), and Swing (4h–Daily) modes, which automatically adjust based on the selected timeframe. The visible inputs allow you to adjust the following parameters: Show Info Panel: Enables/disables the information panel (default: enabled). Show Volume Spikes: Turns on/off coloring for volume spike bars (default: enabled). Spike Sensitivity: Controls the Z-Score threshold for detecting volume spikes (default: 2.0; lower values increase signal frequency). Show Divergence: Enables/disables the display of divergence labels (default: enabled). Divergence Sensitivity: Adjusts the thresholds for divergence detection (default: 1.0; higher values reduce sensitivity). Divergence Lookback Length: Sets the length of the moving averages used for divergences (default: 5, automatically adjusted to 13/10/5 for Scalping/Balanced/Swing). RVOL Reference Period: Defines the reference period for relative volume (default: 20, automatically adjusted to 7/15/20). RSI Length: Sets the RSI length (default: 14, automatically adjusted to 5/10/14). Buy Sensitivity: Controls the increase threshold for Buying Pressure signals (default: 0.007; higher values reduce frequency). Sell Sensitivity: Controls the decrease threshold for Selling Pressure signals (default: 0.007; higher values reduce frequency). Volume Multiplier (B/S Pressure): Adjusts the volume threshold for Smart Flow signals (default: 0.6; higher values require greater volume). 🟡 This indicator is created to simplify market analysis, but I am not a professional in Pine Script or technical indicators. This indicator is not a standalone solution. For optimal results, it must be integrated into a well-defined trading strategy that includes risk management and other confirmations.
Wskaźnik Pine Script®
od ToCoMi
TASC 2025.07 Laguerre Filters█ OVERVIEW This script implements the Laguerre filter and oscillator described by John F. Ehlers in the article "A Tool For Trend Trading, Laguerre Filters" from the July 2025 edition of TASC's Traders' Tips . The new Laguerre filter utilizes the UltimateSmoother filter in place of an exponential moving average (EMA) in its calculation, offering improved responsiveness and reduced lag. █ CONCEPTS As Ehlers explains in his article, the Laguerre filter is a form of transversal filter . A transversal filter calculates an output signal using a tapped delay line . It creates multiple delayed versions of an input signal, applies weight to each delay, and then calculates their sum to generate the filtered result. The Laguerre filter's structure relies on Laguerre polynomials — solutions to a differential equation solved by Edmond Laguerre in the 1800s. When Ehlers analyzed the formula for these polynomials on discrete systems (e.g., financial time series), he found that the first term's expression corresponds to an EMA response, and all subsequent terms correspond to an all-pass response. In contrast to other filter types, an all-pass filter produces phase shift (i.e., delay) in an input signal's components without affecting its amplitude. Ehlers observed that these characteristics of Laguerre polynomials make them suitable for use in a transversal filter structure, and thus the Laguerre filter was born. However, he notes that EMAs are not great filters in general. As such, to improve on the Laguerre filter's design, Ehlers modified it by replacing the EMA term with his UltimateSmoother filter. The resulting Laguerre filter has significantly reduced lag, achieving a tighter response to market fluctuations while maintaining smoothness. Ehlers suggests that traders can analyze crossings between the UltimateSmoother and this Laguerre filter, or those between two Laguerre filters of different order, for helpful buy and sell signals. In addition to the Laguerre filter, Ehlers derived a smooth, low-lag oscillator based on the difference between the first and second terms in the modified filter structure, scaled by the root mean square (RMS). The resulting oscillator provides an alternative filtered representation of market data, which can help traders identify swing and mean-reversion signals. █ USAGE This indicator calculates both the Laguerre filter and the Laguerre oscillator described in Ehlers' article. It displays the Laguerre filter on the main chart pane and the oscillator in a separate pane. Users can control the behavior of the filter and oscillator with the inputs in the "Settings/Inputs" tab: The "Period" input defines the critical period of the UltimateSmoother used in the Laguerre filter and oscillator calculations. Its default value is 30. The "Gamma" input determines the weighting behavior of the Laguerre filter and oscillator. It accepts a positive value between 0 and 1. Use a lower value for quicker responsiveness to market changes, and a higher value for trends. The default value is 0.5. The "RMS length" input determines the length of the RMS calculation for oscillator normalization. The default value is 100 bars.
Wskaźnik Pine Script®
od PineCodersTASC
13
Grothendieck-Teichmüller Geometric SynthesisDskyz's Grothendieck-Teichmüller Geometric Synthesis (GTGS) THEORETICAL FOUNDATION: A SYMPHONY OF GEOMETRIES The 🎓 GTGS is built upon a revolutionary premise: that market dynamics can be modeled as geometric and topological structures. While not a literal academic implementation—such a task would demand computational power far beyond current trading platforms—it leverages core ideas from advanced mathematical theories as powerful analogies and frameworks for its algorithms. Each component translates an abstract concept into a practical market calculation, distinguishing GTGS by identifying deeper structural patterns rather than relying on standard statistical measures. 1. Grothendieck-Teichmüller Theory: Deforming Market Structure The Theory : Studies symmetries and deformations of geometric objects, focusing on the "absolute" structure of mathematical spaces. Indicator Analogy : The calculate_grothendieck_field function models price action as a "deformation" from its immediate state. Using the nth root of price ratios (math.pow(price_ratio, 1.0/prime)), it measures market "shape" stretching or compression, revealing underlying tensions and potential shifts. 2. Topos Theory & Sheaf Cohomology: From Local to Global Patterns The Theory : A framework for assembling local properties into a global picture, with cohomology measuring "obstructions" to consistency. Indicator Analogy : The calculate_topos_coherence function uses sine waves (math.sin) to represent local price "sections." Summing these yields a "cohomology" value, quantifying price action consistency. High values indicate coherent trends; low values signal conflict and uncertainty. 3. Tropical Geometry: Simplifying Complexity The Theory : Transforms complex multiplicative problems into simpler, additive, piecewise-linear ones using min(a, b) for addition and a + b for multiplication. Indicator Analogy : The calculate_tropical_metric function applies tropical_add(a, b) => math.min(a, b) to identify the "lowest energy" state among recent price points, pinpointing critical support levels non-linearly. 4. Motivic Cohomology & Non-Commutative Geometry The Theory : Studies deep arithmetic and quantum-like properties of geometric spaces. Indicator Analogy : The motivic_rank and spectral_triple functions compute weighted sums of historical prices to capture market "arithmetic complexity" and "spectral signature." Higher values reflect structured, harmonic price movements. 5. Perfectoid Spaces & Homotopy Type Theory The Theory : Abstract fields dealing with p-adic numbers and logical foundations of mathematics. Indicator Analogy : The perfectoid_conv and type_coherence functions analyze price convergence and path identity, assessing the "fractal dust" of price differences and price path cohesion, adding fractal and logical analysis. The Combination is Key : No single theory dominates. GTGS ’s Unified Field synthesizes all seven perspectives into a comprehensive score, ensuring signals reflect deep structural alignment across mathematical domains. 🎛️ INPUTS: CONFIGURING THE GEOMETRIC ENGINE The GTGS offers a suite of customizable inputs, allowing traders to tailor its behavior to specific timeframes, market sectors, and trading styles. Below is a detailed breakdown of key input groups, their functionality, and optimization strategies, leveraging provided tooltips for precision. Grothendieck-Teichmüller Theory Inputs 🧬 Deformation Depth (Absolute Galois) : What It Is : Controls the depth of Galois group deformations analyzed in market structure. How It Works : Measures price action deformations under automorphisms of the absolute Galois group, capturing market symmetries. Optimization : Higher Values (15-20) : Captures deeper symmetries, ideal for major trends in swing trading (4H-1D). Lower Values (3-8) : Responsive to local deformations, suited for scalping (1-5min). Timeframes : Scalping (1-5min) : 3-6 for quick local shifts. Day Trading (15min-1H) : 8-12 for balanced analysis. Swing Trading (4H-1D) : 12-20 for deep structural trends. Sectors : Stocks : Use 8-12 for stable trends. Crypto : 3-8 for volatile, short-term moves. Forex : 12-15 for smooth, cyclical patterns. Pro Tip : Increase in trending markets to filter noise; decrease in choppy markets for sensitivity. 🗼 Teichmüller Tower Height : What It Is : Determines the height of the Teichmüller modular tower for hierarchical pattern detection. How It Works : Builds modular levels to identify nested market patterns. Optimization : Higher Values (6-8) : Detects complex fractals, ideal for swing trading. Lower Values (2-4) : Focuses on primary patterns, faster for scalping. Timeframes : Scalping : 2-3 for speed. Day Trading : 4-5 for balanced patterns. Swing Trading : 5-8 for deep fractals. Sectors : Indices : 5-8 for robust, long-term patterns. Crypto : 2-4 for rapid shifts. Commodities : 4-6 for cyclical trends. Pro Tip : Higher towers reveal hidden fractals but may slow computation; adjust based on hardware. 🔢 Galois Prime Base : What It Is : Sets the prime base for Galois field computations. How It Works : Defines the field extension characteristic for market analysis. Optimization : Prime Characteristics : 2 : Binary markets (up/down). 3 : Ternary states (bull/bear/neutral). 5 : Pentagonal symmetry (Elliott waves). 7 : Heptagonal cycles (weekly patterns). 11,13,17,19 : Higher-order patterns. Timeframes : Scalping/Day Trading : 2 or 3 for simplicity. Swing Trading : 5 or 7 for wave or cycle detection. Sectors : Forex : 5 for Elliott wave alignment. Stocks : 7 for weekly cycle consistency. Crypto : 3 for volatile state shifts. Pro Tip : Use 7 for most markets; 5 for Elliott wave traders. Topos Theory & Sheaf Cohomology Inputs 🏛️ Temporal Site Size : What It Is : Defines the number of time points in the topological site. How It Works : Sets the local neighborhood for sheaf computations, affecting cohomology smoothness. Optimization : Higher Values (30-50) : Smoother cohomology, better for trends in swing trading. Lower Values (5-15) : Responsive, ideal for reversals in scalping. Timeframes : Scalping : 5-10 for quick responses. Day Trading : 15-25 for balanced analysis. Swing Trading : 25-50 for smooth trends. Sectors : Stocks : 25-35 for stable trends. Crypto : 5-15 for volatility. Forex : 20-30 for smooth cycles. Pro Tip : Match site size to your average holding period in bars for optimal coherence. 📐 Sheaf Cohomology Degree : What It Is : Sets the maximum degree of cohomology groups computed. How It Works : Higher degrees capture complex topological obstructions. Optimization : Degree Meanings : 1 : Simple obstructions (basic support/resistance). 2 : Cohomological pairs (double tops/bottoms). 3 : Triple intersections (complex patterns). 4-5 : Higher-order structures (rare events). Timeframes : Scalping/Day Trading : 1-2 for simplicity. Swing Trading : 3 for complex patterns. Sectors : Indices : 2-3 for robust patterns. Crypto : 1-2 for rapid shifts. Commodities : 3-4 for cyclical events. Pro Tip : Degree 3 is optimal for most trading; higher degrees for research or rare event detection. 🌐 Grothendieck Topology : What It Is : Chooses the Grothendieck topology for the site. How It Works : Affects how local data integrates into global patterns. Optimization : Topology Characteristics : Étale : Finest topology, captures local-global principles. Nisnevich : A1-invariant, good for trends. Zariski : Coarse but robust, filters noise. Fpqc : Faithfully flat, highly sensitive. Sectors : Stocks : Zariski for stability. Crypto : Étale for sensitivity. Forex : Nisnevich for smooth trends. Indices : Zariski for robustness. Timeframes : Scalping : Étale for precision. Swing Trading : Nisnevich or Zariski for reliability. Pro Tip : Start with Étale for precision; switch to Zariski in noisy markets. Unified Field Configuration Inputs ⚛️ Field Coupling Constant : What It Is : Sets the interaction strength between geometric components. How It Works : Controls signal amplification in the unified field equation. Optimization : Higher Values (0.5-1.0) : Strong coupling, amplified signals for ranging markets. Lower Values (0.001-0.1) : Subtle signals for trending markets. Timeframes : Scalping : 0.5-0.8 for quick, strong signals. Swing Trading : 0.1-0.3 for trend confirmation. Sectors : Crypto : 0.5-1.0 for volatility. Stocks : 0.1-0.3 for stability. Forex : 0.3-0.5 for balance. Pro Tip : Default 0.137 (fine structure constant) is a balanced starting point; adjust up in choppy markets. 📐 Geometric Weighting Scheme : What It Is : Determines the framework for combining geometric components. How It Works : Adjusts emphasis on different mathematical structures. Optimization : Scheme Characteristics : Canonical : Equal weighting, balanced. Derived : Emphasizes higher-order structures. Motivic : Prioritizes arithmetic properties. Spectral : Focuses on frequency domain. Sectors : Stocks : Canonical for balance. Crypto : Spectral for volatility. Forex : Derived for structured moves. Indices : Motivic for arithmetic cycles. Timeframes : Day Trading : Canonical or Derived for flexibility. Swing Trading : Motivic for long-term cycles. Pro Tip : Start with Canonical; experiment with Spectral in volatile markets. Dashboard and Visual Configuration Inputs 📋 Show Enhanced Dashboard, 📏 Size, 📍 Position : What They Are : Control dashboard visibility, size, and placement. How They Work : Display key metrics like Unified Field , Resonance , and Signal Quality . Optimization : Scalping : Small size, Bottom Right for minimal chart obstruction. Swing Trading : Large size, Top Right for detailed analysis. Sectors : Universal across markets; adjust size based on screen setup. Pro Tip : Use Large for analysis, Small for live trading. 📐 Show Motivic Cohomology Bands, 🌊 Morphism Flow, 🔮 Future Projection, 🔷 Holographic Mesh, ⚛️ Spectral Flow : What They Are : Toggle visual elements representing mathematical calculations. How They Work : Provide intuitive representations of market dynamics. Optimization : Timeframes : Scalping : Enable Morphism Flow and Spectral Flow for momentum. Swing Trading : Enable all for comprehensive analysis. Sectors : Crypto : Emphasize Morphism Flow and Future Projection for volatility. Stocks : Focus on Cohomology Bands for stable trends. Pro Tip : Disable non-essential visuals in fast markets to reduce clutter. 🌫️ Field Transparency, 🔄 Web Recursion Depth, 🎨 Mesh Color Scheme : What They Are : Adjust visual clarity, complexity, and color. How They Work : Enhance interpretability of visual elements. Optimization : Transparency : 30-50 for balanced visibility; lower for analysis. Recursion Depth : 6-8 for balanced detail; lower for older hardware. Color Scheme : Purple/Blue : Analytical focus. Green/Orange : Trading momentum. Pro Tip : Use Neon Purple for deep analysis; Neon Green for active trading. ⏱️ Minimum Bars Between Signals : What It Is : Minimum number of bars required between consecutive signals. How It Works : Prevents signal clustering by enforcing a cooldown period. Optimization : Higher Values (10-20) : Fewer signals, avoids whipsaws, suited for swing trading. Lower Values (0-5) : More responsive, allows quick reversals, ideal for scalping. Timeframes : Scalping : 0-2 bars for rapid signals. Day Trading : 3-5 bars for balance. Swing Trading : 5-10 bars for stability. Sectors : Crypto : 0-3 for volatility. Stocks : 5-10 for trend clarity. Forex : 3-7 for cyclical moves. Pro Tip : Increase in choppy markets to filter noise. Hardcoded Parameters Tropical, Motivic, Spectral, Perfectoid, Homotopy Inputs : Fixed to optimize performance but influence calculations (e.g., tropical_degree=4 for support levels, perfectoid_prime=5 for convergence). Optimization : Experiment with codebase modifications if advanced customization is needed, but defaults are robust across markets. 🎨 ADVANCED VISUAL SYSTEM: TRADING IN A GEOMETRIC UNIVERSE The GTTMTSF ’s visuals are direct representations of its mathematics, designed for intuitive and precise trading decisions. Motivic Cohomology Bands : What They Are : Dynamic bands ( H⁰ , H¹ , H² ) representing cohomological support/resistance. Color & Meaning : Colors reflect energy levels ( H⁰ tightest, H² widest). Breaks into H¹ signal momentum; H² touches suggest reversals. How to Trade : Use for stop-loss/profit-taking. Band bounces with Dashboard confirmation are high-probability setups. Morphism Flow (Webbing) : What It Is : White particle streams visualizing market momentum. Interpretation : Dense flows indicate strong trends; sparse flows signal consolidation. How to Trade : Follow dominant flow direction; new flows post-consolidation signal trend starts. Future Projection Web (Fractal Grid) : What It Is : Fibonacci-period fractal projections of support/resistance. Color & Meaning : Three-layer lines (white shadow, glow, colored quantum) with labels showing price, topological class, anomaly strength (φ), resonance (ρ), and obstruction ( H¹ ). ⚡ marks extreme anomalies. How to Trade : Target ⚡/● levels for entries/exits. High-anomaly levels with weakening Unified Field are reversal setups. Holographic Mesh & Spectral Flow : What They Are : Visuals of harmonic interference and spectral energy. How to Trade : Bright mesh nodes or strong Spectral Flow warn of building pressure before price movement. 📊 THE GEOMETRIC DASHBOARD: YOUR MISSION CONTROL The Dashboard translates complex mathematics into actionable intelligence. Unified Field & Signals : FIELD : Master value (-10 to +10), synthesizing all geometric components. Extreme readings (>5 or <-5) signal structural limits, often preceding reversals or continuations. RESONANCE : Measures harmony between geometric field and price-volume momentum. Positive amplifies bullish moves; negative amplifies bearish moves. SIGNAL QUALITY : Confidence meter rating alignment. Trade only STRONG or EXCEPTIONAL signals for high-probability setups. Geometric Components : What They Are : Breakdown of seven mathematical engines. How to Use : Watch for convergence. A strong Unified Field is reliable when components (e.g., Grothendieck , Topos , Motivic ) align. Divergence warns of trend weakening. Signal Performance : What It Is : Tracks indicator signal performance. How to Use : Assesses real-time performance to build confidence and understand system behavior. 🚀 DEVELOPMENT & UNIQUENESS: BEYOND CONVENTIONAL ANALYSIS The GTTMTSF was developed to analyze markets as evolving geometric objects, not statistical time-series. Why This Is Unlike Anything Else : Theoretical Depth : Uses geometry and topology, identifying patterns invisible to statistical tools. Holistic Synthesis : Integrates seven deep mathematical frameworks into a cohesive Unified Field . Creative Implementation : Translates PhD-level mathematics into functional Pine Script , blending theory and practice. Immersive Visualization : Transforms charts into dynamic geometric landscapes for intuitive market understanding. The GTTMTSF is more than an indicator; it’s a new lens for viewing markets, for traders seeking deeper insight into hidden order within chaos. " Where there is matter, there is geometry. " - Johannes Kepler — Dskyz , Trade with insight. Trade with anticipation.
Wskaźnik Pine Script®
od DskyzInvestments
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