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Momentum_EMABand📢 Reposting Notice I am reposting this script because my earlier submission was hidden due to description requirements under TradingView’s House Rules. This updated version fully explains the originality, the reason for combining these indicators, and how they work together. Follow me for future updates and refinements. 🆕 Momentum EMA Band, Rule-Based System Momentum EMA Band is not just a mashup — it is a purpose-built trading tool for intraday traders and scalpers that integrates three complementary technical concepts into a single rules-based breakout & retest framework. Originality comes from the specific sequence and interaction of these three filters: Supertrend → Sets directional bias. EMA Band breakout with retest logic → Times precise entries. ADX filter → Confirms momentum strength and avoids noise. This system is designed to filter out weak setups and false breakouts that standalone indicators often fail to avoid. 🔧 How the Indicator Works — Combined Logic 1️⃣ EMA Price Band — Dynamic Zone Visualization Plots upper & lower EMA bands (default: 9-period EMA). Green Band → Price above upper EMA = bullish momentum Red Band → Price below lower EMA = bearish pressure Yellow Band → Price within band = neutral zone Acts as a consolidation zone and breakout trigger level. 2️⃣ Supertrend Overlay — Reliable Trend Confirmation ATR-based Supertrend adapts to volatility: Green Line = Uptrend bias Red Line = Downtrend bias Ensures trades align with the prevailing trend. 3️⃣ ADX-Based No-Trade Zone — Choppy Market Filter Manual ADX calculation (default: length 14). If ADX < threshold (default: 20) and price is inside EMA Band → gray background marks low-momentum zones. 🧩 Why This Mashup Works Supertrend confirms trend direction. EMA Band breakout & retest validates the breakout’s strength. ADX ensures the market has enough trend momentum. When all align, entries are higher probability and whipsaws are reduced. 📈 Example Trade Walkthrough Scenario: 5-minute chart, ADX threshold = 20. Supertrend turns green → trend bias is bullish. Price consolidates inside the yellow EMA Band. ADX rises above 20 → trend momentum confirmed. Price closes above the green EMA Band after retesting the band as support. Entry triggered on candle close, stop below band, target based on risk-reward. Exit when Supertrend flips red or ADX momentum drops. This sequence prevents premature entries, keeps trades aligned with trend, and avoids ranging markets. 🎯 Key Features ✅ Multi-layered confirmation for precision trading ✅ Built-in no-trade zone filter ✅ Fully customizable parameters ✅ Clean visuals for quick decision-making ⚠ Disclaimer: This is Version 1. Educational purposes only. Always use with risk management.
Pine Script®指標
由laraibislam提供
Momentum ScopeOverview Momentum Scope is a Pine Script™ v6 study that renders a –1 to +1 momentum heatmap across up to 32 lookback periods in its own pane. Using an Augmented Relative Momentum Index (ARMI) and color shading, it highlights where momentum strengthens, weakens, or stays flat over time—across any asset and timeframe. Key Features Full-Spectrum Momentum Map : Computes ARMI for 1–32 lookbacks, indexed from –1 (strong bearish) to +1 (strong bullish). Flexible Scale Gradation : Choose Linear or Exponential spacing, with adjustable expansion ratio and maximum depth. Trending Bias Control : Apply a contrast-style curve transform to emphasize trending vs. mean-reverting behavior. Duotone & Tritone Palettes : Select between two vivid color styles, with user-definable hues for bearish, bullish, and neutral momentum. Compact, Overlay-Free Display : Renders solely in its own pane—keeping your price chart clean. Inputs & Customization Scale Gradation : Linear or Exponential spacing of intervals Scale Expansion : Ratio governing step-size between successive lookbacks Scale Maximum : Maximum lookback period (and highest interval) Trending Bias : Curve-transform bias to tilt the –1 … +1 grid Color Style : Duotone or Tritone rendering modes Reducing / Increasing / Neutral Colors : Pick your own hues for bearish, bullish, and flat zones How to Use Add to Chart : Apply “Momentum Scope” as a separate indicator. Adjust Scale : For exponential spacing, switch your indicator Y-axis to Logarithmic . Set Bias & Colors : Tweak Trending Bias and choose a palette that stands out on your layout. Interpret the Heatmap : Red tones = weakening/bearish momentum Green tones = strengthening/bullish momentum Neutral hues = indecision or flat momentum Copyright © 2025 MVPMC. Licensed under MIT. For full license see opensource.org
Pine Script®指標
由MVPMC提供
Relative Directional Index (RDI)🔍 Overview The Relative Directional Index (RDI) is a hybrid tool that fuses the Average Directional and the Relative Strength Indices (ADX and RSI) into a single, highly visual interface. While the former captures trend strength, the latter reveals momentum shifts and potential exhaustion. Together, they can confirm trend structure, anticipate reversals, and sharpen the timing entries and exits. 📌 Why Combine ADX with RSI? Most indicators focus on either trend-following (like ADX) or momentum detection (like RSI)—but rarely both. Each comes with trade-offs: - ADX alone confirms trend strength but ignores momentum. - RSI alone signals overbought/oversold, but lacks trend context. The RDI resolves this by integrating both, offering: - Smarter filters for trend entries - Early warnings of momentum breakdowns - More confident signal validation 🧠 Design Note: Fibonacci Harmony All default values—5, 13, 21—are Fibonacci numbers. This is intentional, as these values reflect the natural rhythm of market cycles, and promote harmonic calibration between price action and indicator logic. 🔥 Key Features ✅ ADX Histogram - Green bars = trend gaining strength - Red bars = trend weakening - Adjustable transparency for visual tuning ✅ ADX Line (Orange) - Measures trend strength over time - Rising = accelerating trend - Falling = trend may be fading ✅ RSI Line (Lemon Yellow) - Captures momentum surges and slowdowns - Above 50 = bullish control - Below 50 = bearish pressure ✅ Trend Strength Squares - Bright green = strong uptrend - Bright red = strong downtrend - Faded colors = range-bound or indecisive ✅ ADX/RSI Crossover Markers - Yellow square = RSI crosses above ADX → momentum building - Orange square = ADX crosses above RSI → trend still dominant ✅ Customizable Reference Lines - Yellow (50) = strong trend threshold - Red (30) = weak trend zone - Green (70) = overextended, potential exhaustion _______________________________________________________ 🎯 How to Trade with the RDI The RDI helps traders identify momentum-supported trends, catch early reversals, and avoid false signals during consolidation. ✅ Trend Confirmation Entries 🔼 Bullish → Enter long on pullbacks or resistance breakouts - ADX rising above 30 - RSI above 50 - Green trend square visible 🔽 Bearish → Enter short on breakdowns or failed retests - ADX rising - RSI below 50 - Red trend square visible 🧯 Exit if RSI crosses back against trend direction or ADX flattens 🚨 Reversal Setups Using Divergence 📈 Bullish Divergence → Long entry after confirmation (e.g. engulfing bar, volume spike) - Price prints lower low - RSI prints higher low - Green triangle 📉 Bearish Divergence → Short entry on breakdown - Price prints higher high - RSI prints lower high - Red triangle Tip: Stronger if ADX is declining (fading trend strength) 🔂 Breakout Detection via Cross Markers - Yellow square = RSI > ADX → breakout brewing - Orange square = ADX > RSI → trend continuation likely ⏸️ Avoid Choppy Markets - RSI between 45–55 - Faded trend squares - Flat ADX below 20–30 🧠 Pro Tips - Combine RDI with VWAPs, moving averages and/or pitchforks - Watch for alignment between trend and momentum - Use divergence markers as confirmation, not stand-alone triggers _______________________________________________________ ⚠️ Hidden Divergence (Optional) The RDI includes optional hidden divergence detection. These signals suggest trend continuation but are off by default. Use with discretion—best in established trends, not sideways markets. 🙈 Hidden Bullish - Price prints higher low - RSI prints lower low 🙈 Hidden Bearish - Price prints lower high - RSI prints higher high
Pine Script®指標
由TheLeadingIndicator提供
Momentum Cycle Oscillator (MCO)1. Concept and Inspiration The Momentum Cycle Oscillator (MCO) is a unique indicator designed to combine volatility and momentum into a unified tool for identifying market cycles. Traditional indicators often isolate either momentum (e.g., RSI) or volatility (e.g., Bollinger Bands), but the MCO bridges the gap by synthesizing these dimensions into one oscillating signal. By measuring price acceleration (momentum) and range consistency (volatility), the MCO aims to detect when a price cycle is shifting from contraction to expansion or vice versa, signaling potential trend reversals or continuations. Its zero-centered design provides a clear demarcation between bullish and bearish cycles. 2. Mathematical Structure The MCO is built on two foundational components: the volatility factor and the momentum factor. The volatility factor quantifies the price range over a defined period, highlighting market consistency and expansion. Meanwhile, the momentum factor assesses the rate of change in smoothed closing prices, revealing directional acceleration. These two factors are multiplied to create the raw MCO value, which is further smoothed to reduce noise and improve readability. The resulting oscillator fluctuates around zero, with positive values indicating upward cycles and negative values signaling downward cycles. 3. Practical Applications The MCO excels in identifying cycle turning points, where the market transitions from a bearish phase to a bullish phase or vice versa. Traders can use the zero line as a reference: a crossover from below to above zero suggests a potential buy signal, while a crossover from above to below zero indicates a sell signal. The MCO’s unique blend of volatility and momentum also helps detect shifts in trend strength, making it valuable in both trending and ranging markets. Its histogram visualization further aids traders by emphasizing the magnitude and direction of market momentum. 4. Innovative Features What sets the MCO apart is its ability to adapt dynamically to market conditions. By fusing two dimensions of market behavior—volatility and momentum—it provides a holistic view of price action. Unlike traditional indicators that rely heavily on recursion (e.g., EMA), the MCO’s straightforward calculation reduces lag, ensuring timely signals. Furthermore, its use of normalized components allows it to function effectively across diverse assets and timeframes without extensive parameter tuning. This makes it particularly versatile for both intraday traders and long-term investors. 5. Limitations and Potential While the MCO is robust, it is not immune to challenges. In highly choppy or low-volume markets, the indicator may generate false signals, as volatility and momentum can be erratic. Additionally, its performance depends on proper parameter calibration, with periods requiring adjustment to align with the asset’s behavior. However, its creative approach to combining volatility and momentum offers immense potential for refinement and customization. With proper backtesting and optimization, the MCO could become a staple tool for traders seeking a comprehensive yet simple way to interpret market cycles.
Pine Script®指標
由GustafValentine提供
RSI Slope Filtered Signals [UAlgo]The "RSI Slope Filtered Signals " is a technical analysis tool designed to enhance the accuracy of RSI (Relative Strength Index) signals by incorporating slope analysis. This indicator not only considers the RSI value but also analyzes the slope of the RSI over a specified number of bars, providing a more refined signal that accounts for the momentum and trend strength. By utilizing both positive and negative slope arrays, the indicator dynamically adjusts its thresholds, ensuring that signals are responsive to changing market conditions. This tool is particularly useful for traders looking to identify overbought and oversold conditions with a higher degree of precision, filtering out noise and providing clear visual cues for potential market reversals. 🔶 Key Features Dynamic Slope Analysis: Measures the slope of RSI over a customizable number of bars, offering insights into the momentum and trend direction. Adaptive Thresholds: Uses historical slope data to calculate dynamic thresholds, adjusting signal sensitivity based on market conditions. Normalized Slope Calculation: Normalizes the slope values to provide a consistent measure across different market conditions, making the indicator more versatile. Clear Signal Visualization: The indicator plots both positive and negative normalized slopes with color gradients, visually representing the strength of the trend. Overbought and Oversold Signals: Plots overbought and oversold signals directly on the chart when the calculated value reaches the user-specified threshold, helping traders identify potential reversal points. Customizable Settings: Allows users to adjust the RSI length, slope measurement bars, and lookback periods, providing flexibility to tailor the indicator to different trading strategies. 🔶 Interpreting the Indicator The "RSI Slope Filtered Signals " indicator is designed to be easy to interpret. Here's how you can use it: Normalized Slope: The indicator plots the normalized slope of the RSI, with values above zero indicating positive momentum and values below zero indicating negative momentum. A higher positive slope suggests a strong upward trend, while a deeper negative slope indicates a strong downward trend. Reversal Signals: The indicator plots several horizontal lines at different thresholds (+3, +2, +1, 0, -1, -2, -3). These levels are used to gauge the strength of the momentum based on the normalized slope. For example, a normalized slope crossing above the +2 threshold may indicate a strong bullish trend, while crossing below the -2 threshold may suggest a strong bearish trend. These thresholds help in understanding the intensity of the current trend and provide context for interpreting the indicator's signals. This indicator generates overbought and oversold signals not solely based on the RSI entering extreme levels (above 70 for overbought and below 30 for oversold), but also by considering the behavior of the normalized slope relative to specific thresholds. Specifically, the Overbought Signal (🔽) is triggered when the RSI is above 70 and the normalized slope from the previous bar is greater than or equal to the upper threshold, with the current slope being lower than the previous slope, indicating a potential bearish reversal as momentum may be slowing down. Similarly, the Oversold Signal (🔼) is generated when the RSI is below 30 and the normalized slope from the previous bar is less than or equal to the lower threshold, with the current slope being higher than the previous slope, signaling a potential bullish reversal as the downward momentum may be weakening. Area Plots: The indicator also plots the positive and negative slopes as filled areas, providing a quick visual cue for the strength and direction of the trend. Green areas represent positive slopes (upward momentum), while red areas represent negative slopes (downward momentum). By combining these elements, the "RSI Slope Filtered Signals " provides a comprehensive view of the market's momentum, helping traders make more informed decisions by filtering out false signals and focusing on the significant trends. 🔶 Disclaimer Use with Caution: This indicator is provided for educational and informational purposes only and should not be considered as financial advice. Users should exercise caution and perform their own analysis before making trading decisions based on the indicator's signals. Not Financial Advice: The information provided by this indicator does not constitute financial advice, and the creator (UAlgo) shall not be held responsible for any trading losses incurred as a result of using this indicator. Backtesting Recommended: Traders are encouraged to backtest the indicator thoroughly on historical data before using it in live trading to assess its performance and suitability for their trading strategies. Risk Management: Trading involves inherent risks, and users should implement proper risk management strategies, including but not limited to stop-loss orders and position sizing, to mitigate potential losses. No Guarantees: The accuracy and reliability of the indicator's signals cannot be guaranteed, as they are based on historical price data and past performance may not be indicative of future results.
Pine Script®指標
由UAlgo提供
2
Momentum-Adjusted Volatility Ratio (MAVR)The Momentum-Adjusted Volatility Ratio (MAVR) indicator is designed to help you understand the strength of price movements relative to the market's volatility. It combines the concepts of rate of change (ROC) and average true range (ATR) and then calculates their ratio, which is then smoothed using an exponential moving average (EMA). Here's a general guide on how to use the MAVR indicator: Identify the trend: Look for the overall direction of the EMA of the MAVR. When the EMA is above the zero line, it indicates that the momentum is positive and the trend is generally bullish. Conversely, when the EMA is below the zero line, it indicates that the momentum is negative, and the trend is generally bearish. Assess momentum strength: Pay attention to the distance between the EMA of the MAVR and the zero line. A larger distance indicates a stronger momentum, while a smaller distance suggests weaker momentum. If the EMA of the MAVR moves further away from the zero line, it indicates that the price movement is becoming more robust relative to the market's volatility. Look for potential entry and exit signals: When the EMA of the MAVR crosses the zero line, it could provide a potential trading signal. For instance, a cross from below to above the zero line may indicate a potential buying opportunity, while a cross from above to below the zero line may signal a potential selling opportunity. Keep in mind that the MAVR indicator should not be used in isolation, and it's essential to combine it with other technical analysis tools and risk management techniques. Monitor for divergences: Sometimes, the price and the EMA of the MAVR can show divergences. For example, if the price makes a higher high while the EMA of the MAVR makes a lower high, it could signal a bearish divergence, suggesting a potential trend reversal. Similarly, if the price makes a lower low while the EMA of the MAVR makes a higher low, it could indicate a bullish divergence, suggesting a possible trend reversal. Remember that no indicator is perfect, and the MAVR should be used in conjunction with other technical analysis tools and a solid trading strategy to increase the chances of success. Always use proper risk management techniques to protect your capital.
Pine Script®指標
由Herbytrader提供
1
Algorithmic Value Oscillator [CRYPTIK1]Algorithmic Value Oscillator Introduction: What is the AVO? Welcome to the Algorithmic Value Oscillator (AVO), a powerful, modern momentum indicator that reframes the classic "overbought" and "oversold" concept. Instead of relying on a fixed lookback period like a standard RSI, the AVO measures the current price relative to a significant, higher-timeframe Value Zone . This gives you a more contextual and structural understanding of price. The core question it answers is not just "Is the price moving up or down quickly?" but rather, " Where is the current price in relation to its recently established area of value? " This allows traders to identify true "premium" (overbought) and "discount" (oversold) levels with greater accuracy, all presented with a clean, futuristic aesthetic designed for the modern trader. The Core Concept: Price vs. Value The market is constantly trying to find equilibrium. The AVO is built on the principle that the high and low of a significant prior period (like the previous day or week) create a powerful area of perceived value. The Value Zone: The range between the high and low of the selected higher timeframe. Premium Territory (Distribution Zone): When the oscillator moves into the glowing pink/purple zone above +100, it is trading at a premium. Discount Territory (Accumulation Zone): When the oscillator moves into the glowing teal/blue zone below -100, it is trading at a discount. Key Features 1. Glowing Gradient Oscillator: The main oscillator line is a dynamic visual guide to momentum. The line changes color smoothly from light blue to neon teal as bullish momentum increases. It shifts from hot pink to bright purple as bearish momentum increases. Multiple transparent layers create a professional "glow" effect, making the trend easy to see at a glance. 2. Dynamic Volatility Histogram: This histogram at the bottom of the indicator is a custom volatility meter. It has been engineered to be adaptive, ensuring that the visual differences between high and low volatility are always clear and dramatic, no matter your zoom level. It uses a multi-color gradient to visualize the intensity of market volatility. 3. Volatility Regime Dashboard: This simple on-screen table analyzes the histogram and provides a clear, one-word summary of the current market state: Compressing, Stable, or Expanding. How to Use the AVO: Trading Strategies 1. Reversion Trading This is the most direct way to use the indicator. Look for Buys: When the AVO line drops into the teal "Accumulation Zone" (below -100), the price is trading at a discount. Watch for the oscillator to form a bottom and start turning up as a signal that buying pressure is returning. Look for Sells: When the AVO line moves into the pink "Distribution Zone" (above +100), the price is trading at a premium. Watch for the oscillator to form a peak and start turning down as a signal that selling pressure is increasing. 2. Best Practices & Settings Timeframe Synergy: The AVO is most effective when your chart timeframe is lower than your selected "Value Zone Source." For example, if you trade on the 1-hour chart, set your Value Zone to "Previous Day." Confirmation is Key: This indicator provides powerful context, but it should not be used in isolation. Always combine its readings with your primary analysis, such as market structure and support/resistance levels.
Pine Script®指標
由CRYPTIK1提供
3
Strategy Myth-Busting #6 - PSAR+MA+SQZMOM+HVI - [MYN]This is part of a new series we are calling "Strategy Myth-Busting" where we take open public manual trading strategies and automate them. The goal is to not only validate the authenticity of the claims but to provide an automated version for traders who wish to trade autonomously. Our sixth one we are automating is " I Tested ''7% Profit Per Day" Scalping Strategy 100 Times ( Unexpected Results ) " from " TradeIQ " which claims to have made 175% profit on the 5 min chart of BTCUSD with a having a 61% win rate in just 32 days. Originally, we mimicked verbatim the indicators and settings TradeIQ was using however weren't getting promising results anything close to the claim so we decided to try and improve on it. We changed the static Parabolic SAR to be adaptive based upon the timeframe. We did this by using an adjustable multiplier for the PSAR Max. Also, In TradeIQ's revised version he substituted Hawkeye's Volume Indicator in lieu of Squeeze Momentum. We found that including both indicators we were getting better results so included them both. Feel free to experiment more. Would love to see how this could be improved on. This strategy uses a combination of 4 open-source public indicators: Parabolic Sar (built in) 10 in 1 MA's by hiimannshu Squeeze Momentum by lazybear HawkEYE Volume Indicator by lazybear Trading Rules 5m timeframe and above. We saw equally good results in the higher (3h - 4h) timeframes as well. Long Entry: Parabolic Sar shifts below price at last dot above and then previous bar needs to breach above that. Price action has to be below both MA's and 50MA needs to be above 200MA Squeeze Momentum needsd to be in green or close to going green HawkEYE Volume Indicator needs to be show a green bar on the histagram Short Entry: Parabolic Sar shifts above price at last dot below and then previous bar needs to breach below that. Price action needs to be above both MA's and 50MA needs to be below 200MA Squeeze Momentum needsd to be in red or close to going red HawkEYE Volume Indicator needs to be show a red bar on the histagram If you know of or have a strategy you want to see myth-busted or just have an idea for one, please feel free to message me.
Pine Script®策略
由myncrypto提供
5
WVF - OscillatorAnother attempt on making use of CM-Williams-Vix-Fix-Finds-Market-Bottoms from Chris Moody - which is arguably one of the best indicator available on pine and tradingview platform. Every time I revisit this, I get new ideas on applying this method. I have slightly altered formula to highest(source)-source/highest(source) from the original formula highest(close)-low/highest(close) Process is simple: Calculate WVF for OHLC values separately Calculate momentum on each of the WVF values based on distance from moving average Plot the candles based on OHLC momentum. Candle color depends on whether close, open and previous close. If close is higher than open and previous close, we get green coloured candles. If close is lower than previous close and open then we get red coloured candles. In all other cases, we will have silver candles. High/Low bands are calculated based on median of highest and lowest values of VixFix. We also plot median of close which can be used in some cases. How to use this to find market bottom. Look for one of the below conditions: First red candle above high band - which signals momentum of vix fix is about to fall. First red candle above median line - can be used only if upward momentum of wvf candles are trending well. Crossunder of wvf candles under high band. Possible exit scenarios Green WVF candle formed above WVF high line Entry is taken on first red candle above median line - but, candles turned green before WVF crossing under median line - may signal our thesis is wrong and price may drop further. Some examples.
Pine Script®指標
由Trendoscope提供
11
Hurst-Based Trend Persistence w/Poisson Prediction --- # **Hurst-Based Trend Persistence w/ Poisson Prediction** ## **Introduction** The **Hurst-Based Trend Persistence with Poisson Prediction** is a **statistically-driven trend-following oscillator** that provides traders with **a structured approach to identifying trend strength, persistence, and potential reversals**. This indicator combines: - **Hurst Exponent Analysis** (to measure how persistent or mean-reverting price action is). - **Color-Coded Trend Detection** (to highlight bullish and bearish conditions). - **Poisson-Based Trend Reversal Probability Projection** (to anticipate when a trend is likely to end based on statistical models). By integrating **fractal market theory (Hurst exponent)** with **Poisson probability distributions**, this indicator gives traders a **probability-weighted view of trend duration** while dynamically adapting to market volatility. --- ## **Simplified Explanation (How to Read the Indicator at a Glance)** 1. **If the oscillator line is going up → The trend is strong.** 2. **If the oscillator line is going down → The trend is weakening.** 3. **If the color shifts from red to green (or vice versa), a trend shift has occurred.** - **Strong trends can change color without weakening** (meaning a bullish or bearish move can remain powerful even as the trend shifts). 4. **A weakening trend does NOT necessarily mean a reversal is coming.** - The trend may slow down but continue in the same direction. 5. **A strong trend does NOT guarantee it will last.** - Even a powerful move can **suddenly reverse**, which is why the **Poisson-based background shading** helps anticipate probabilities of change. --- ## **How to Use the Indicator** ### **1. Understanding the Rolling Hurst-Based Trend Oscillator (Main Line)** The **oscillator line** is based on the **Hurst exponent (H)**, which quantifies whether price movements are: - **Trending** (values above 0 → momentum-driven, persistent trends). - **Mean-reverting** (values below 0 → price action is choppy, likely to revert to the mean). - **Neutral (Random Walk)** (values around 0 → price behaves like a purely stochastic process). #### **Interpreting the Oscillator:** - **H > 0.5 → Persistent Trends:** - Price moves tend to sustain in one direction for longer periods. - Example: Strong uptrends in bull markets. - **H < 0.5 → Mean-Reverting Behavior:** - Price has a tendency to revert back to its mean. - Example: Sideways markets or fading momentum. - **H ≈ 0.5 → Random Walk:** - No clear trend; price is unpredictable. A **gray dashed horizontal line at 0** serves as a **baseline**, helping traders quickly assess whether the market is **favoring trends or mean reversion**. --- ### **2. Color-Coded Trend Signal (Visual Confirmation of Trend Shifts)** The oscillator **changes color** based on **price slope** over the lookback period: - **🟢 Green → Uptrend (Price Increasing)** - Price is rising relative to the selected lookback period. - Suggests sustained bullish pressure. - **🔴 Red → Downtrend (Price Decreasing)** - Price is falling relative to the selected lookback period. - Suggests sustained bearish pressure. #### **How to Use This in Trading** ✔ **Stay in trends until a color change occurs.** ✔ **Use color changes as confirmation for trend reversals.** ✔ **Avoid counter-trend trades when the oscillator remains strongly colored.** --- ### **3. Poisson-Based Trend Reversal Projection (Anticipating Future Shifts)** The **shaded orange background** represents a **Poisson-based probability estimation** of when the trend is likely to reverse. - **Darker Orange = Higher Probability of Trend Reversal** - **Lighter Orange / No Shade = Low Probability of Immediate Reversal** 💡 **The idea behind this model:** ✔ Trends **don’t last forever**, and their duration follows **statistical patterns**. ✔ By calculating the **average historical trend duration**, the indicator predicts **how likely a trend shift is at any given time**. ✔ The **Poisson probability function** is applied to determine the **expected likelihood of a reversal as time progresses**. --- ## **Mathematical Foundations of the Indicator** This indicator is based on **two primary statistical models**: ### **1. Hurst Exponent & Trend Persistence (Fractal Market Theory)** - The **Hurst exponent (H)** measures **autocorrelation** in price movements. - If past trends **persist**, H will be **above 0.5** (meaning trend-following strategies are favorable). - If past trends tend to **mean-revert**, H will be **below 0.5** (meaning reversal strategies are more effective). - The **Rolling Hurst Oscillator** calculates this exponent over a moving window to track real-time trend conditions. #### **Formula Breakdown (Simplified for Traders)** The Hurst exponent (H) is derived using the **Rescaled Range (R/S) Analysis**: \ Where: - **R** = **Range** (difference between max cumulative deviation and min cumulative deviation). - **S** = **Standard deviation** of price fluctuations. - **Lookback** = The number of periods analyzed. --- ### **2. Poisson-Based Trend Reversal Probability (Stochastic Process Modeling)** The **Poisson process** is a **probabilistic model used for estimating time-based events**, applied here to **predict trend reversals based on past trend durations**. #### **How It Works** - The indicator **tracks trend durations** (the time between color changes). - A **Poisson rate parameter (λ)** is computed as: \ - The **probability of a reversal at any given time (t)** is estimated using: \ - **As t increases (trend continues), the probability of reversal rises**. - The indicator **shades the background based on this probability**, visually displaying the likelihood of a **trend shift**. --- ## **Dynamic Adaptation to Market Conditions** ✔ **Volatility-Adjusted Trend Shifts:** - A **custom volatility calculation** dynamically adjusts the **minimum trend duration** required before a trend shift is recognized. - **Higher volatility → Requires longer confirmation before switching trend color.** - **Lower volatility → Allows faster trend shifts.** ✔ **Adaptive Poisson Weighting:** - **Recent trends are weighted more heavily** using an exponential decay function: - **Decay Factor (0.618 by default)** prioritizes **recent intervals** while still considering historical trends. - This ensures the model adapts to changing market conditions. --- ## **Key Takeaways for Traders** ✅ **Identify Persistent Trends vs. Mean Reversion:** - Use the oscillator line to determine whether the market favors **trend-following or counter-trend strategies**. ✅ **Visual Trend Confirmation via Color Coding:** - **Green = Uptrend**, **Red = Downtrend**. - Trend changes help confirm **entry and exit points**. ✅ **Anticipate Trend Reversals Using Probability Models:** - The **Poisson projection** provides a **statistical edge** in **timing exits before trends reverse**. ✅ **Adapt to Market Volatility Automatically:** - Dynamic **volatility scaling** ensures the indicator remains effective in **both high and low volatility environments**. Happy trading and enjoy!
Pine Script®指標
由garysebastianbrowniii提供
Coppock Curve with Pivot Points and Divergence The Coppock Curve is a long-term price momentum indicator used primarily to recognize major downturns and upturns in a stock market index. It is calculated as a 10-month weighted moving average of the sum of the 14-month rate of change and the 11-month rate of change for the index. It is also known as the "Coppock Guide." The Coppock formula was introduced in Barron's in 1962 by Edwin Coppock. The Coppock Curve is a technical indicator that provides long-term buy and sell signals for major stock indexes and related ETFs based on shifts in momentum. What Does the Coppock Curve Tell You? The Coppock Curve was originally implemented as a long-term buy and sell indicator for major indices such as the S&P 500 and the Wilshire 5000. Often, it is used with long-term time series such as a candlestick chart, but where each candle contains a month's worth of price information. The Difference Between the Coppock Curve and Rate of Relative Strength Index (RSI)? The relative strength index looks at how the current price compares to prior prices, though it is calculated differently than the rate of change (ROC) indicator used in the Coppock Curve calculation. Therefore, these indicators will provide different trade signals and information. What are those circles? -These are Divergences. Red for Regular-Bearish. Orange for Hidden-Bearish. Green for Regular-Bullish. Aqua for Hidden-Bullish. What are those triangles? - These are Pivots . They show when the VPT oscillator might reverse, this is important to know because many times the price action follows this move. Please keep in mind that this indicator is a tool and not a strategy, do not blindly trade signals, do your own research first! Use this indicator in conjunction with other indicators to get multiple confirmations.
Pine Script®指標
由AdonisWerther提供
9
Momentum Sentiment Indicator by mattzabThis indicator uses 3 moving averages and includes volume to display sentiment and momentum. By default, a 5, 8, and 13 SMA is displayed (black lines). The colored bands are the corresponding volume weighted moving averages. When the colored band is above the black line, sentiment is bullish. Think of the color as being a show of volume, and the black lines as support and resistance. When the lines are trending up, and colors are above the black lines, an uptrend is in progress. When the colors are mixed above and below, and the lines are intertwined, it is a ranging market. The lines operate similar to the Williams Alligator.
Pine Script®指標
由mattzab提供
1
Momentum Volume Analyzer [CHE] Momentum Volume Analyzer — Adaptive momentum with volume-gated signals and expressive visual cues Summary This indicator combines a normalized momentum oscillator with a volume Z-score gate and adaptive gradient visuals. The oscillator centers around a midline and scales between a lower and an upper bound. Intensity is derived from the distance to the midline and is normalized inside a rolling window, which helps keep contrast consistent across regimes. Volume pressure is compressed to a discrete level between one and ten and is used to qualify momentum flips and extremes. Layered “burst” markers and optional background gradients provide immediate visual emphasis without adding new data sources. Pine version is v6. The script runs in a separate pane. Motivation: Why this design? Common oscillators flip rapidly during noisy conditions or flatten during calm periods, which obscures actionable shifts. A rolling normalization keeps the visual intensity stable across different regimes, and a volume gate reduces reactions when participation is weak. The goal is clearer momentum shifts that are supported by measurable activity rather than cosmetic smoothing alone. What’s different vs. standard approaches? Baseline reference: Classical RSI-style oscillators or simple filtered momentum without volume gating. Architecture differences: Local window normalization with gamma control for contrast. Volume converted to a Z-score and compressed into a discrete level between one and ten with a configurable cap. Directional color gradients that intensify with distance from the midline. Layered glow markers with optional trail and an internal label budget to avoid UI overload. Practical effect: Signals are visually stronger only when both momentum and volume align; background and line colors convey regime strength at a glance. How it works (technical) Momentum core: A high-pass path with automatic gain control produces a bounded oscillator centered around a midline. A simple moving average smooths the result over a short window. Normalization and contrast: The absolute distance from the midline is scaled inside a rolling window and limited between zero and one. Two gamma parameters separately shape contrast for the line and for labels. Coloring: When the oscillator is above the midline, a green gradient is used; below the midline, a red gradient is used. Intensity increases with normalized distance. Optional area fill to the midline and a background gradient reinforce strength. Volume levels: Volume is standardized over a lookback window, clipped by a user cap, and mapped to a level between one and ten. Only positive excursions are considered; non-positive values map to zero. Event markers: When the oscillator reaches extreme zones and the volume level is positive, the script spawns layered circular labels at fixed y-positions. A small trail can extend behind the event. An internal queue discards the oldest labels when a user-defined maximum is exceeded. Alerts: Alerts fire on overbought and oversold spikes, midline shifts with minimum intensity and volume, and continuation patterns inside strong zones. Parameter Guide TFRSI length (default six): Core momentum lookback. Shorter values react faster but are less stable. Signal SMA (default two): Light smoothing of the oscillator. Larger values reduce jitter. Gradient window (default one hundred): Normalization window for intensity. Longer values produce steadier contrast but slower adaptation. Line/marker transparency (default zero): Visual prominence of drawings. Higher values reduce dominance. Background on and BG transparency (defaults true and eighty-five): Enables and tunes the pane background gradient. Area fill to fifty and Fill transparency (defaults true and eighty): Fills between the oscillator and the midline. Gamma bars/labels and Gamma plot (defaults zero point seven and zero point eight): Contrast shapers for markers and line. Higher values compress low intensities. Bottom marker and Show last N (defaults true and three hundred thirty-three): Optional compact heat markers with a display cap. Up/Down colors: Dark and neon pairs for positive and negative regimes. Lookback (default two hundred) and Z cap (default five): Volume standardization window and clipping level before scaling to one through ten. Enable bursts, Layers, Trail, Trail transparency, Max live labels, Size scale: Control the layered glow effect, trail length, opacity, label budget, and size multiplier. Reducing the size scale lowers visual dominance. Spike min level, Shift min level, Min intensity, Rise/Fall length: Gates for alerts; adjust to balance sensitivity and false positives. Reading & Interpretation Line color and intensity: Green shades above the midline indicate bullish pressure; red shades below indicate bearish pressure. Stronger color corresponds to stronger normalized distance. Background and fill: Reinforce regime strength; consider reducing transparency when the pane feels too busy. Bursts and trails: Emphasize volume-backed extremes. Larger bursts reflect stronger volume levels or scaling choices. Volume level: Internal level between one and ten. Levels near the upper bound signal exceptional activity. Practical Workflows & Combinations Trend following: Use midline cross upward with minimum shift level and intensity as a trigger. Confirm with structure such as higher highs and higher lows. For shorts, reverse the conditions. Exits and risk: Fade exposure when intensity weakens toward the midline or when volume level drops below the shift threshold. Consider disabling bursts when monitoring many symbols. Multi-asset and multi-timeframe: Defaults are designed to travel across liquid futures, large-cap equities, and major crypto pairs. For higher timeframes, increase the lookback window and consider reducing the Z cap. Behavior, Constraints & Performance Repaint and confirmation: Signals are evaluated on the live bar. They can appear and withdraw before bar close. For confirmed signals, require closed-bar alerts or manual confirmation. Higher-timeframe sources: Not used. No `security` calls. Resources: `max_bars_back` is two thousand. The script uses arrays and label objects, including loops for trails. The label budget mitigates clutter. Known limits: Very illiquid symbols with unstable volume can reduce the usefulness of the Z-score. Sharp regime changes can still produce brief flips. Sensible Defaults & Quick Tuning Starting point: TFRSI length six, Signal two, Gradient window one hundred, Z cap five, Spike level six, Shift level four, Min intensity zero point four, Rise length three, Size scale zero point five. Too many flips: Increase Signal, increase Gradient window, or raise Shift level. Too sluggish: Decrease TFRSI length or reduce Gradient window. Bursts too dominant: Lower Size scale or reduce Layers; increase Trail transparency or set Trail length to zero. What this indicator is—and isn’t This is a visualization and signal layer that couples momentum with a volume gate and adaptive visuals. It is not a complete trading system, optimizer, or predictor. Use it together with market structure, risk controls, and position management. Disclaimer The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context. Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved. By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk. Best regards and happy trading Chervolino
Pine Script®指標
由chervolino提供
3
Uptrick: Z-Trend BandsOverview Uptrick: Z-Trend Bands is a Pine Script overlay crafted to capture high-probability mean-reversion opportunities. It dynamically plots upper and lower statistical bands around an EMA baseline by converting price deviations into z-scores. Once price moves outside these bands and then reenters, the indicator verifies that momentum is genuinely reversing via an EMA-smoothed RSI slope. Signal memory ensures only one entry per momentum swing, and traders receive clear, real-time feedback through customizable bar-coloring modes, a semi-transparent fill highlighting the statistical zone, concise “Up”/“Down” labels, and a live five-metric scoring table. Introduction Markets often oscillate between trending and reverting, and simple thresholds or static envelopes frequently misfire when volatility shifts. Standard deviation quantifies how “wide” recent price moves have been, and a z-score transforms each deviation into a measure of how rare it is relative to its own history. By anchoring these bands to an exponential moving average, the script maintains a fluid statistical envelope that adapts instantly to both calm and turbulent regimes. Meanwhile, the Relative Strength Index (RSI) tracks momentum; smoothing RSI with an EMA and observing its slope filters out erratic spikes, ensuring that only genuine momentum flips—upward for longs and downward for shorts—qualify. Purpose This indicator is purpose-built for short-term mean-reversion traders operating on lower–timeframe charts. It reveals when price has strayed into the outer 5 percent of its recent range, signaling an increased likelihood of a bounce back toward fair value. Rather than firing on price alone, it demands that momentum follow suit: the smoothed RSI slope must flip in the opposite direction before any trade marker appears. This dual-filter approach dramatically reduces noise-driven, false setups. Traders then see immediate visual confirmation—bar colors that reflect the latest signal and age over time, clear entry labels, and an always-visible table of metric scores—so they can gauge both the validity and freshness of each signal at a glance. Originality and Uniqueness Uptrick: Z-Trend Bands stands apart from typical envelope or oscillator tools in four key ways. First, it employs fully normalized z-score bands, meaning ±2 always captures roughly the top and bottom 5 percent of moves, regardless of volatility regime. Second, it insists on two simultaneous conditions—price reentry into the bands and a confirming RSI slope flip—dramatically reducing whipsaw signals. Third, it uses slope-phase memory to lock out duplicate signals until momentum truly reverses again, enforcing disciplined entries. Finally, it offers four distinct bar-coloring schemes (solid reversal, fading reversal, exceeding bands, and classic heatmap) plus a dynamic scoring table, rather than a single, opaque alert, giving traders deep insight into every layer of analysis. Why Each Component Was Picked The EMA baseline was chosen for its blend of responsiveness—weighting recent price heavily—and smoothness, which filters market noise. Z-score deviation bands standardize price extremes relative to their own history, adapting automatically to shifting volatility so that “extreme” always means statistically rare. The RSI, smoothed with an EMA before slope calculation, captures true momentum shifts without the false spikes that raw RSI often produces. Slope-phase memory flags prevent repeated alerts within a single swing, curbing over-trading in choppy conditions. Bar-coloring modes provide flexible visual contexts—whether you prefer to track the latest reversal, see signal age, highlight every breakout, or view a continuous gradient—and the scoring table breaks down all five core checks for complete transparency. Features This indicator offers a suite of configurable visual and logical tools designed to make reversal signals both robust and transparent: Dynamic z-score bands that expand or contract in real time to reflect current volatility regimes, ensuring the outer ±zThreshold levels always represent statistically rare extremes. A smooth EMA baseline that weights recent price more heavily, serving as a fair-value anchor around which deviations are measured. EMA-smoothed RSI slope confirmation, which filters out erratic momentum spikes by first smoothing raw RSI and then requiring its bar-to-bar slope to flip before any signal is allowed. Slope-phase memory logic that locks out duplicate buy or sell markers until the RSI slope crosses back through zero, preventing over-trading during choppy swings. Four distinct bar-coloring modes—Reversal Solid, Reversal Fade, Exceeding Bands, Classic Heat—plus a “None” option, so traders can choose whether to highlight the latest signal, show signal age, emphasize breakout bars, or view a continuous heat gradient within the bands. A semi-transparent fill between the EMA and the upper/lower bands that visually frames the statistical zone and makes extremes immediately obvious. Concise “Up” and “Down” labels that plot exactly when price re-enters a band with confirming momentum, keeping chart clutter to a minimum. A real-time, five-metric scoring table (z-score, RSI slope, price vs. EMA, trend state, re-entry) that updates every two bars, displaying individual +1/–1/0 scores and an averaged Buy/Sell/Neutral verdict for complete transparency. Calculations Compute the fair-value EMA over fairLen bars. Subtract that EMA from current price each bar to derive the raw deviation. Over zLen bars, calculate the rolling mean and standard deviation of those deviations. Convert each deviation into a z-score by subtracting the mean and dividing by the standard deviation. Plot the upper and lower bands at ±zThreshold × standard deviation around the EMA. Calculate raw RSI over rsiLen bars, then smooth it with an EMA of length rsiEmaLen. Derive the RSI slope by taking the difference between the current and previous smoothed RSI. Detect a potential reentry when price exits one of the bands on the prior bar and re-enters on the current bar. Require that reentry coincide with an RSI slope flip (positive for a lower-band reentry, negative for an upper-band reentry). On first valid reentry per momentum swing, fire a buy or sell signal and set a memory flag; reset that flag only when the RSI slope crosses back through zero. For each bar, assign scores of +1, –1, or 0 for the z-score direction, RSI slope, price vs. EMA, trend-state, and reentry status. Average those five scores; if the result exceeds +0.1, label “Buy,” if below –0.1, label “Sell,” otherwise “Neutral.” Update bar colors, the semi-transparent fill, reversal labels, and the scoring table every two bars to reflect the latest calculations. How It Actually Works On each new candle, the EMA baseline and band widths update to reflect current volatility. The RSI is smoothed and its slope recalculated. The script then looks back one bar to see if price exited either band and forward to see if it reentered. If that reentry coincides with an appropriate RSI slope flip—and no signal has yet been generated in that swing—a concise label appears. Bar colors refresh according to your selected mode, and the scoring table updates to show which of the five conditions passed or failed, along with the overall verdict. This process repeats seamlessly at each bar, giving traders a continuous feed of disciplined, statistically filtered reversal cues. Inputs All parameters are fully user-configurable, allowing you to tailor sensitivity, lookbacks, and visuals to your trading style: EMA length (fairLen): number of bars for the fair-value EMA; higher values smooth more but lag further behind price. Z-Score lookback (zLen): window for calculating the mean and standard deviation of price deviations; longer lookbacks reduce noise but respond more slowly to new volatility. Z-Score threshold (zThreshold): number of standard deviations defining the upper and lower bands; common default is 2.0 for roughly the outer 5 percent of moves. Source (src): choice of price series (close, hl2, etc.) used for EMA, deviation, and RSI calculations. RSI length (rsiLen): period for raw RSI calculation; shorter values react faster to momentum changes but can be choppier. RSI EMA length (rsiEmaLen): period for smoothing raw RSI before taking its slope; higher values filter more noise. Bar coloring mode (colorMode): select from None, Reversal Solid, Reversal Fade, Exceeding Bands, or Classic Heat to control how bars are shaded in relation to signals and band positions. Show signals (showSignals): toggle on-chart “Up” and “Down” labels for reversal entries. Show scoring table (enableTable): toggle the display of the five-metric breakdown table. Table position (tablePos): choose which corner (Top Left, Top Right, Bottom Left, Bottom Right) hosts the scoring table. Conclusion By merging a normalized z-score framework, momentum slope confirmation, disciplined signal memory, flexible visuals, and transparent scoring into one Pine Script overlay, Uptrick: Z-Trend Bands offers a powerful yet intuitive tool for intraday mean-reversion trading. Its adaptability to real-time volatility and multi-layered filter logic deliver clear, high-confidence reversal cues without the clutter or confusion of simpler indicators. Disclaimer This indicator is provided solely for educational and informational purposes. It does not constitute financial advice. Trading involves substantial risk and may not be suitable for all investors. Past performance is not indicative of future results. Always conduct your own testing and apply careful risk management before trading live.
Pine Script®指標
由Uptrick提供
Correlation Drift📈 Correlation Drift The Correlation Drift indicator is designed to detect shifts in market momentum by analyzing the relationship between correlation and price lag. It combines the principles of correlation analysis and lag factor measurement to provide a unique perspective on trend alignment and momentum shifts. 🔍 Core Concept: The indicator calculates the Correlation vs PLF Ratio, which measures the alignment between an asset’s price movement and a chosen benchmark (e.g., BTCUSD). This ratio reflects how well the asset’s momentum matches the market trend while accounting for price lag. 📊 How It Works: Correlation Calculation: The script calculates the correlation between the asset and the selected benchmark over a specified period. A higher correlation indicates that the asset’s price movements are in sync with the benchmark. Price Lag Factor (PLF) Calculation: The PLF measures the difference between long-term and short-term price momentum, dynamically scaled by recent volatility. It highlights potential overextensions or lags in the asset’s price movements. Combining Correlation and PLF: The Correlation vs PLF Ratio combines these metrics to detect momentum shifts relative to the trend. The result is a dynamic, smoothed histogram that visualizes whether the asset is leading or lagging behind the trend. 💡 How to Interpret: Positive Values (Green/Aqua Bars): Indicates bullish alignment with the trend. Aqua: Rising bullish momentum, suggesting continuation. Teal: Decreasing bullish momentum, signaling caution. Negative Values (Purple/Fuchsia Bars): Indicates bearish divergence from the trend. Fuchsia: Falling bearish momentum, indicating increasing pressure. Purple: Rising bearish momentum, suggesting potential reversal. Clipping for Readability: Values are clipped between -3 and +3 to prevent outliers from compressing the histogram. This ensures clear visualization of typical momentum shifts while still marking extreme cases. 🚀 Best Practices: Use Correlation Drift as a confirmation tool in conjunction with trend indicators (e.g., moving averages) to identify momentum alignment or divergence. Look for transitions from positive to negative (or vice versa) as signals of potential trend shifts. Combine with volume analysis to strengthen confidence in breakout or breakdown signals. ⚠️ Key Features: Customizable Settings: Adjust the correlation length, PLF length, and smoothing factor to fine-tune the indicator for different market conditions. Visual Gradient: The histogram changes color based on the strength and direction of the ratio, making it easy to identify shifts at a glance. Zero Line Reference: Clearly distinguishes between bullish and bearish momentum zones. 🔧 Recommended Settings: Correlation Length: 14 (for short to medium-term analysis) PLF Length: 50 (to smooth out noise while capturing trend shifts) Smoothing Factor: 3 (for enhanced clarity without excessive lag) Benchmark Symbol: BTCUSD (or another relevant market indicator) By providing a quantitative measure of trend alignment while accounting for price lag, the Correlation Drift indicator helps traders make more informed decisions during periods of momentum change. Whether you are trading crypto, forex, or equities, this tool can be a powerful addition to your momentum-based trading strategies. ⚠️ Disclaimer: The Correlation Drift indicator is a technical analysis tool designed to aid in identifying potential shifts in market momentum and trend alignment. It is intended for informational and educational purposes only and should not be considered as financial advice or a recommendation to buy, sell, or hold any financial instrument. Trading financial instruments, including cryptocurrencies, involves significant risk and may result in the loss of your capital. Past performance is not indicative of future results. Always conduct thorough research and seek advice from a certified financial professional before making any trading decisions. The developer (RWCS_LTD) is not responsible for any trading losses or adverse outcomes resulting from the use of this indicator. Users are encouraged to test and validate the indicator in a simulated environment before applying it to live trading. Use at your own risk.
Pine Script®指標
由RWCS_LTD提供
Uptrick: FRAMA Matrix RSIUptrick: FRAMA Matrix RSI Introduction The Uptrick: FRAMA Matrix RSI is a momentum-based indicator that integrates the Relative Strength Index (RSI) with the Fractal Adaptive Moving Average (FRAMA). By applying FRAMA's adaptive smoothing to RSI—and further refining it with a Zero-Lag Moving Average (ZLMA)—this script creates a refined and reliable momentum oscillator. The indicator now includes enhanced divergence detection, potential reversal signals, customizable buy/sell signal options, an internal stats table, and a fully customizable bar coloring system for an enhanced visual trading experience. Why Combine RSI with FRAMA Traditional RSI is a well-known momentum indicator but has several limitations. It is highly sensitive to price fluctuations, often generating false signals in choppy or volatile markets. FRAMA, in contrast, adapts dynamically to price changes by adjusting its smoothing factor based on market conditions. By integrating FRAMA into RSI calculations, this indicator reduces noise while preserving RSI's ability to track momentum, adapts to volatility by reducing lag in trending markets and smoothing out choppiness in ranging conditions, enhances trend-following capability for more reliable momentum shifts, and refines overbought and oversold signals by adjusting to the current market structure. With the new enhancements, such as a manual alpha input, noise filtering, divergence detection, and multiple buy/sell signal options, the indicator offers even greater flexibility and precision for traders. This combination improves the standard RSI by making it more adaptive and responsive to market changes. Originality This indicator is unique because it applies FRAMA's adaptive smoothing technique to RSI, creating a dynamic momentum oscillator that adjusts to different market conditions. Many traditional RSI-based indicators either use fixed smoothing methods like exponential moving averages or employ basic RSI calculations without adjusting for volatility. This script stands out by integrating several elements, including the fractal dimension-based smoothing of FRAMA to reduce noise while retaining responsiveness, the use of Zero-Lag Moving Average smoothing to enhance trend sensitivity and reduce lag, divergence detection to highlight mismatches between price action and RSI momentum, a noise filter and manual alpha option to prevent minor fluctuations from generating false signals, customizable buy/sell signal options that let traders choose between ZLMA-based or FRAMA RSI-based signals, an internal stats table displaying real-time FRAMA calculations such as fractal dimension and the adaptive alpha factor, and a fully customizable bar coloring system to visually distinguish bullish, bearish, and neutral conditions. Features Adaptive FRAMA RSI The indicator applies FRAMA to RSI values, making the momentum oscillator adaptive to volatility while filtering out noise. Unlike a traditional RSI that reacts equally to all price movements, FRAMA RSI adjusts its smoothing factor based on market structure, making it more effective for identifying true momentum shifts. Zero-Lag Moving Average (ZLMA) A smoothing technique that minimizes lag while preserving the responsiveness of price movements. It is applied to the FRAMA RSI to further refine signals and ensure smoother trend detection. Bullish and Bearish Threshold Crossovers This system compares FRAMA RSI to a user-defined threshold (default is 50). When FRAMA RSI moves above the threshold, it indicates bullish momentum, while movement below signals bearish conditions. The enhanced noise filter ensures that only significant moves trigger signals. Noise Filter and Manual Alpha A new noise filter input prevents tiny fluctuations from triggering false signals. In addition, a manual alpha option allows traders to override the automatically computed smoothing factor with a custom value, providing extra control over the indicator’s sensitivity. Divergence Detection The indicator identifies divergence patterns by comparing FRAMA RSI pivots to price action. Bullish divergence occurs when price makes a lower low while FRAMA RSI makes a higher low, and bearish divergence occurs when price makes a higher high while FRAMA RSI makes a lower high. These signals can help traders anticipate potential reversals. Reversal Signals Labels appear on the chart when FRAMA RSI confirms classic RSI overbought (70) or oversold (30) conditions, providing visual cues for potential trend reversals. Buy and Sell Signal Options Traders can now choose between two signal-generation methods. ZLMA-based signals trigger when the ZLMA of FRAMA RSI crosses key overbought (70) or oversold (30) levels, while FRAMA RSI-based signals trigger when FRAMA RSI itself crosses these levels. This added flexibility allows users to tailor the indicator to their preferred trading style. ZLMA: FRAMA: Customizable Alerts Alerts notify traders when FRAMA RSI crosses key levels, divergence signals occur, reversal conditions are met, or buy/sell signals trigger. This ensures that important trading events are not missed. Fully Customizable Bar Coloring System Users can color bars based on different conditions, enhancing visual clarity. Bar coloring modes include: FRAMA RSI threshold (bars change color based on whether FRAMA RSI is above or below the threshold), ZLMA crossover (bars change when ZLMA crosses overbought or oversold levels), buy/sell signals (bars change when official signals trigger), divergence (bars highlight when bullish or bearish divergence is detected), and reversals (bars indicate when RSI reaches overbought or oversold conditions confirmed by FRAMA RSI). The system also remembers the last applied bar color, ensuring a smooth visual transition. Input Parameters and Features Core Inputs RSI Length (default: 14) defines the period for RSI calculations. FRAMA Lookback (default: 16) determines the length for the FRAMA smoothing function. RSI Bull Threshold (default: 50) sets the level above which the market is considered bullish and below which it is bearish. Noise Filter (default: 1.0) ensures that small fluctuations do not trigger false bullish or bearish signals. Additional Features Show Bull and Bear Alerts (default: true) enables notifications when FRAMA RSI crosses the threshold. Enable Divergence Detection (default: false) highlights bullish and bearish divergences based on price and FRAMA RSI pivots. Show Potential Reversal Signals (default: false) identifies overbought (70) and oversold (30) levels as possible trend reversal points. Buy and Sell Signal Option (default: ZLMA) allows traders to choose between ZLMA-based signals or FRAMA RSI-based signals for trade entry. ZLMA Enhancements ZLMA Length (default: 14) determines the period for the Zero-Lag Moving Average applied to FRAMA RSI. Visualization Options Show Internal Stats Table (default: false) displays real-time FRAMA calculations, including fractal dimension and the adaptive alpha smoothing factor. Show Threshold FRAMA Signals (default: false) plots buy and sell labels when FRAMA RSI crosses the threshold level. How It Works FRAMA Calculation FRAMA dynamically adjusts smoothing based on the price fractal dimension. The alpha smoothing factor is derived from the fractal dimension or can be set manually to maintain responsiveness. RSI with FRAMA Smoothing RSI is calculated using the user-defined lookback period. FRAMA is then applied to the RSI to make it more adaptive to volatility. Optionally, ZLMA is applied to further refine the signals and reduce lag. Bullish and Bearish Threshold Crosses A bullish condition occurs when FRAMA RSI crosses above the threshold, while a bearish condition occurs when it falls below. The noise filter ensures that only significant trend shifts generate signals. Buy and Sell Signal Options Traders can choose between ZLMA crossovers or FRAMA RSI crossovers as the basis for buy and sell signals, offering flexibility in trade entry timing. Divergence Detection The indicator identifies divergences where price action and FRAMA RSI momentum do not align, potentially signaling upcoming reversals. Reversal Signal Labels When classic RSI overbought or oversold levels are confirmed by FRAMA RSI conditions, reversal labels are added on the chart to highlight potential exhaustion points. Bar Coloring System Bars are dynamically colored based on various conditions such as RSI thresholds, ZLMA crossovers, buy/sell signals, divergence, and reversals, allowing traders to quickly interpret market sentiment. Alerts and Internal Stats Customizable alerts notify traders of key events, and an optional internal stats table displays real-time calculations (fractal dimension, alpha value, and RSI values) to help users understand the underlying dynamics of the indicator. Summary The Uptrick: FRAMA Matrix RSI offers an enhanced approach to momentum analysis by combining RSI with adaptive FRAMA smoothing and additional layers of signal refinement. The indicator now includes adaptive RSI smoothing to reduce noise and improve responsiveness, Zero-Lag Moving Average filtering to minimize lag, divergence and reversal detection to identify potential turning points, customizable buy/sell signal options that let traders choose between different signal methodologies, a fully customizable bar coloring system to visually distinguish market conditions, and an internal stats table for real-time insight into FRAMA calculation parameters. Whether used for trend confirmation, divergence detection, or momentum-based strategies, this indicator provides a powerful and adaptive approach to trading. Disclaimer This script is for informational and educational purposes only. Trading involves risk, and past performance does not guarantee future results. Always conduct proper research and consult with a financial advisor before making trading decisions.
Pine Script®指標
由Uptrick提供
Momentum Ghost Machine [ChartPrime]Momentum Ghost Machine (ChartPrime) is designed to be the next generation in momentum/rate of change analysis. This indicator utilizes the properties of one of our favorite filters to create a more accurate and stable momentum oscillator by using a high quality filtered delayed signal to do the momentum comparison. Traditional momentum/roc uses the raw price data to compare current price to previous price to generate a directional oscillator. This leaves the oscillator prone to false readings and noisy outputs that leave traders unsure of the real likelihood of a future movement. One way to mitigate this issue would be to use some sort of moving average. Unfortunately, this can only go so far because simple moving average algorithms result in a poor reconstruction of the actual shape of the underlying signal. The windowed sinc low pass filter is a linear phase filter, meaning that it doesn't change the shape or size of the original signal when applied. This results in a faithful reconstruction of the original signal, but without the "high frequency noise". Just like any filter, the process of applying it requires that we have "future" samples resulting in a time delay for real time applications. Fortunately this is a great thing in the context of a momentum oscillator because we need some representation of past price data to compare the current price data to. By using an ideal low pass filter to generate this delayed signal we can super charge the momentum oscillator and fix the majority of issues its predecessors had. This indicator has a few extra features that other momentum/roc indicators dont have. One major yet simple improvement is the inclusion of a moving average to help gauge the rate of change of this indicator. Since we included a moving average, we thought it would only be appropriate to add a histogram to help visualize the relationship between the signal and its average. To go further with this we have also included linear extrapolation to further help you predict the momentum and direction of this oscillator. Included with this extrapolation we have also added the histogram in the extrapolation to further enhance its visual interpretation. Finally, the inclusion of a candle coloring feature really drives how the utility of the Momentum Machine . There are three distinct options when using the candle coloring feature: Direct, MA, and Both. With direct the candles will be colored based on the indicators direction and polarity. When it is above zero and moving up, it displays a green color. When it is above zero and moving down it will display a light green color. Conversely, when the indicator is below zero and moving down it displays a red color, and when it it moving up and below zero it will display a light red color. MA coloring will color the candles just like a MACD. If the signal is above its MA and moving up it will display a green color, and when it is above its MA and moving down it will display a light green color. When the signal is below its MA and moving down it will display a red color, and when its below its ma and moving up it will display a light red color. Both combines the two into a single color scheme providing you with the best of both worlds. If the indicator is above zero it will display the MA colors with a slight twist. When the indicator is moving down and is below its MA it will display a lighter color than before, and when it is below zero and is above its MA it will display a darker color color. Length of 50 with a smoothing of 100 Length of 50 with a smoothing of 25 By default, the indicator is set to a momentum length of 50, with a post smoothing of 2. We have chosen the longer period for the momentum length to highlight the performance of this indicator compared to its ancestors. A major point to consider with this indicator is that you can only achieve so much smoothing for a chosen delay. This is because more data is required to produce a smoother signal at a specified length. Once you have selected your desired momentum length you can then select your desired momentum smoothing . This is made possible by the use of the windowed sinc low pass algorithm because it includes a frequency cutoff argument. This means that you can have as little or as much smoothing as you please without impacting the period of the indicator. In the provided examples above this paragraph is a visual representation of what is going on under the hood of this indicator. The blue line is the filtered signal being compared to the current closing price. As you can see, the filtered signal is very smooth and accurately represents the underlying price action without noise. We hope that users can find the same utility as we did in this indicator and that it levels up your analysis utilizing the momentum oscillator or rate of change. Enjoy
Pine Script®指標
由ChartPrime提供
29
Momentum Oscillator ModifiedThis indicator is a custom momentum oscillator enhanced with True Range-adjusted price logic and dynamic Bollinger Bands, offering a refined way to track price strength, momentum shifts, and overbought/oversold extremes with reduced noise. Key Features: Dynamic Price Oscillator: Measures momentum using both price change and a volatility-adjusted price for greater accuracy. Smoothing factor lets you fine-tune the balance between responsiveness and noise filtering. True Range-Based Volatility Adjustment: Integrates true range calculations to adapt to current volatility, making signals more robust during different market conditions. Adaptive Bollinger Bands: Two sets of custom Bollinger Bands (standard and expanded) are drawn around the oscillator, adapting over time. These bands help identify when momentum is exceptionally strong or weak relative to recent history. Special fills dynamically highlight when the oscillator breaks above/below the bands, signaling potential trend extremes. Customization: Easily adjust lookback length and smoothing factor to fit your personal trading style (e.g., scalping or swing trading). How to Use: Watch for the oscillator crossing above the green Bollinger Bands or below the red bands for potential overbought/oversold or breakout scenarios. Expanded bands provide a "super extreme" zone which may hint at exhaustion or trend climax. The dynamic mean (black line) gives a visual reference for the normalized momentum level.
Pine Script®指標
由SimplifiedTrading001提供
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.
Pine Script®指標
由scottivey提供
Consecutive Green Candles + 20% Move ScreenerConsecutive Green Candles Momentum Tracker This indicator identifies powerful bullish momentum streaks in stocks, highlighting opportunities where consistent buying pressure has driven significant price increases. The script tracks sequences of consecutive green (bullish) candles that collectively move a stock's price by more than 20%. It marks both the beginning of such streaks with a green label and their conclusion with a red arrow when price momentum finally reverses. Perfect for traders looking to: - Identify stocks experiencing strong directional momentum - Spot potential reversal points after extended rallies - Screen for securities with recent bullish strength - Understand the magnitude of recent price runs Simply adjust the minimum number of candles and percentage threshold to match your preferred momentum criteria.
Pine Script®指標
由eggubonda提供