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FluxPulse Momentum [JOAT]FluxPulse Momentum - Adaptive Multi-Component Oscillator FluxPulse Momentum is a composite oscillator that blends three distinct momentum components into a single, smoothed signal line. Rather than relying on a single indicator, it synthesizes adaptive RSI, normalized rate of change, and a Kaufman-style efficiency ratio to provide a multi-dimensional view of momentum. What This Indicator Does Combines RSI, Rate of Change (ROC), and Efficiency Ratio into one weighted composite Applies EMA smoothing to reduce noise while preserving responsiveness Displays overbought/oversold zones with optional background highlighting Generates buy/sell signals when the oscillator crosses its signal line in favorable zones Provides a real-time dashboard showing current state, momentum direction, and efficiency Core Components Adaptive RSI (50% weight) — Standard RSI calculation normalized around the 50 level Normalized ROC (30% weight) — Rate of change scaled relative to its recent maximum range Efficiency Ratio (20% weight) — Measures directional movement efficiency, inspired by Kaufman's adaptive concepts The final composite is smoothed twice using EMA to create both a fast line and a signal line. Signal Logic // Buy signal: crossover in lower half buySignal = ta.crossover(qmo, qmoSmooth) and qmo < 50 // Sell signal: crossunder in upper half sellSignal = ta.crossunder(qmo, qmoSmooth) and qmo > 50 Signals are generated only when the oscillator is positioned favorably—buy signals occur below the 50 midline, sell signals occur above it. Dashboard Information The on-chart table displays: Current oscillator value with gradient coloring Momentum state (Overbought, Oversold, Bullish, Bearish, Neutral) Momentum direction and acceleration Efficiency ratio percentage Active signal status Inputs Overview RSI Length — Period for RSI calculation (default: 14) ROC Length — Period for rate of change (default: 10) Smoothing Length — EMA smoothing period (default: 3) Overbought/Oversold Levels — Threshold levels for zone detection Await Bar Confirmation — Wait for bar close before triggering alerts How to Use It Watch for crossovers between the main line and signal line Use overbought/oversold zones to identify potential reversal areas Monitor the histogram for momentum acceleration or deceleration Combine with price action analysis for confirmation Alerts Buy Signal — Bullish crossover in the lower zone Sell Signal — Bearish crossunder in the upper zone Overbought/Oversold Crosses — Level threshold crossings This indicator is provided for educational purposes. It does not constitute financial advice. Always conduct your own analysis before making trading decisions. — Made with passion by officialjackofalltrades
Pine Script® göstergesi
officialjackofalltrades tarafından
Shannon Entropy (Quant Lab)🟦 Shannon Entropy = The level of "order" or "chaos" in the market. This indicator gives you the answer to the question: "Is the market currently orderly and understandable, or is it random and chaotic?" No other classical indicator can accurately show this. The value of Entropy is between 0 and 1: ⸻ 🟩 1) Entropy = 0.0 – 0.3 → Structured, orderly, readable market During these periods, the price: • A trend forms • Ranges work clearly • Patterns (head & shoulders, flag, triangle) form smoothly • Systems like Z-score, VWAP, EMA work very cleanly • Data for modeling (algorithmic strategies, ML) is high quality Think of this region as follows: The market "works according to rules," it's easy to trade. ⸻ 🟧 2) Entropy = 0.3 – 0.7 → Normal behavior region In this region: • Neither too orderly nor too chaotic • Most systems operate at an average rate • We can say the market is healthy It is tradable; however, the conditions are not perfect. ⸻ 🟥 3) Entropy = 0.7 – 1.0 → Chaos / Noise / Manipulation region This is the MOST DANGEROUS REGION OF THE MARKET. What happens? • Prices jump randomly left and right. • Wicks increase excessively. • Fake breakouts multiply. • The win rate of strategies decreases. • Trend-following systems constantly generate "false signals." • Even mean-reversion systems are caught off guard. • ML models learn junk data during these periods. • Generally, news, liquidation cascades, and manipulation periods increase entropy. This period perfectly illustrates: "There is no logic in this market right now — it's moving randomly." Therefore, it's a period where you need to be very careful: Reduce position size. • Trade less. • Avoid unnecessary risks. • Tighten stop losses. • Don't use leverage. This is your risk alert panel. ⸻ 🔥 The real superpower Entropy gives you: Trend selection and system selection Entropy → Determines which strategy you will use. ✔ Low Entropy → Trend following or mean-reversion that works like a toy ✔ High Entropy → Even opening a trade is risky ✔ Normal Entropy → Most strategies work Building a strategy without this information is unprofessional. ⸻ 🧠 Critical summary (you can even copy and paste it as a description in TradingView): Low entropy → market is structured, patterns & trends are reliable High entropy → market is chaotic, noisy, unpredictable; avoid aggressive trading Entropy tells you if your strategy has a high chance or low chance of working ⸻ 🟦 Signals Entropy gives in practice: 🔹 Entropy is falling → The market is stabilizing → A major trend or strong move is approaching. 🔹 Entropy is rising → The market is becoming chaotic → Sudden spike, a period of trading in prayer mode, extra risk. 🔹 Low Entropy + VR > 1 + High ER → FULL TREND MARKET A true “trend paradise” period. 🔹 Low Entropy + VR < 1 + High FDI → RANGE MARKET A paradise of mean reversion. 🔹 High Entropy + High VoV → DANGEROUS PERIOD Big explosions, news, and liquidations happen here. ⸻ ⭐ IN SHORT: Entropy = an indicator of how randomly the market behaves. • 0–0.3 → regular, good, reliable market • 0.3–0.7 → normal market • 0.7–1.0 → chaotic, dangerous market It tells you at a glance whether you should trade during this period or not.
Pine Script® göstergesi
akmans tarafından
Standard Deviation Levels with Settlement Price and VolatilityStandard Deviation Levels with Settlement Price and Volatility. This indicator plots the standard deviation levels based on the settlement price and the implied volatility. It works for all Equity Stocks and Futures. For Futures Symbol Volatility Symbol (Implied Volatility) NQ VXN ES VIX YM VXD RTY RVX CL OVX GC GVZ BTC DVOL The plot gives you an ideas that the price has what probability staying in the range of 1SD,2SD,3SD ( In normal distribution method) Please provide the feedback or comments if you find any improvements
Pine Script® göstergesi
ASstocks tarafından
macd rsi tunTitle: Quantum Flow - Clean Momentum & Pattern Signals Description: A minimalist trend signal indicator designed purely for practical trading. How it works: Core Logic: Combines Momentum crossovers with Engulfing Candle patterns to identify potential reversals. Clean Display: No messy lines. It only displays simple text signals ("多" for Long, "空" for Short) at key pivot points. Filtering: Includes an optional RSI filter to improve signal probability and reduce noise. Extras: Supports Bar Coloring and fully functional Alerts. Designed specifically for traders who prefer a clean, uncluttered chart. Note: This is not financial advice. Please test thoroughly in a demo account before live use.
Pine Script® göstergesi
hiyyih tarafından
9 EMA Retracement Buy/Sell + Volume FilterFor all you scalpers out there this is a 9 ema scalp Indicator coupled with volume bars, the Indicator plots buy and sell when the conditions are met Price mist be above or below the 9 ema it must retrace and the volume bar must match the direction of the candle and then a signal will be printed with a red or green triangle, do not blindly take all trades on the signals make sure the is a trend works on any asset and remember it is for scalping only
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boption4mzrj tarafından
2 Dip/Tepe + Destek/Direnç + Tek Sinyal Stratejisi⭐ A Brief Summary of What the Strategy Does 🎯 1) Market analysis is being released (bottom-top analysis) It automatically finds pivot bottoms and pivot tops on the strategic chart. Then: If the bottoms are rising (HL – High Low): the trend is upward If the tops are falling (LH – Lower High): the trend is downward it interprets this. 🎯 2) Support and resistance lines are formed Last pivot top = resistance line Last pivot bottom = support line These lines are automatically drawn on the chart. 🎯 3) Breakout is expected according to the trend structure For LONG: The last two bottoms will be rising bottoms The price will rise above the last resistance line This gives a single LONG signal. For SHORT: The last two peaks will be falling peaks The price will fall below the support line This gives a single SHORT signal.
Pine Script® stratejisi
hayrialbayir tarafından
LETHINH Pinbar📌 PinBar Minimal Detector — Description (English) PinBar Minimal Detector is a clean and efficient tool designed to detect high-quality pin bars based purely on candle geometry. This script focuses on the core characteristics of a true pin bar: a long rejection wick and a small candle body, without adding unnecessary complexity. It is ideal for traders who want fast, reliable signal detection without noise. ⸻ ✨ Key Features • Detects both bullish and bearish pin bars. • Fully configurable wick/body ratio. • Optional filter for maximum opposite wick size. • Option to ignore candles with extremely small bodies. • Clean chart display with simple labels (“PIN”). • Includes alert conditions for automated notifications (webhook, popup, email, etc.). • Lightweight and optimized for fast execution on any timeframe. ⸻ 🔍 Detection Logic A candle qualifies as a bullish pin bar when: • The lower wick is at least X times larger than the body. • The upper wick is relatively small (optional filter). • The body is above the minimum body threshold. A candle qualifies as a bearish pin bar when: • The upper wick is at least X times larger than the body. • The lower wick is relatively small. • The body meets the minimum size requirement. This ensures that only candles showing strong rejection are highlighted. ⸻ ⚙️ Input Parameters 1. wick/body ratio Defines how many times longer the main wick must be compared to the candle body. For example: • 3.0 → wick must be at least 3× the body • 4.0–5.0 → only very strong pin bars 2. opposite wick max (factor) The maximum allowed size of the wick on the opposite side, relative to the body. Example: • 0.5 → opposite wick ≤ 50% of body • Lower values = stricter filtering 3. min body px Filters out candles with bodies that are too small (low volatility candles). 4. show labels Enable or disable the “PIN” labels on the chart. ⸻ 🚨 Alerts The script includes two built-in alert conditions: • Bullish PinBar Detected • Bearish PinBar Detected These alerts can be paired with: • TradingView notifications • Webhooks (for bots / automation) • Email or SMS alerts ⸻ 🎯 Use Cases • Identify high-probability reversal points • Enhance price action strategies • Combine with S/R zones, supply & demand, trendlines, or order blocks • Filter entries on lower timeframes while following higher-timeframe trend bias ⸻ 📘 Notes This is a minimalistic version by design. If you want a more advanced version (confirmation candle, volume filter, multi-timeframe filtering, trend direction filtering, etc.), this script can be expanded easily
Pine Script® göstergesi
LEDUCTHINH98 tarafından
KernelFunctionsLibrary "KernelFunctions" This library provides non-repainting kernel functions for Nadaraya-Watson estimator implementations. This allows for easy substition/comparison of different kernel functions for one another in indicators. Furthermore, kernels can easily be combined with other kernels to create newer, more customized kernels. rationalQuadratic(_src, _lookback, _relativeWeight, startAtBar)   Rational Quadratic Kernel - An infinite sum of Gaussian Kernels of different length scales.   Parameters:      _src (float) : The source series.      _lookback (simple int) : The number of bars used for the estimation. This is a sliding value that represents the most recent historical bars.      _relativeWeight (simple float) : Relative weighting of time frames. Smaller values resut in a more stretched out curve and larger values will result in a more wiggly curve. As this value approaches zero, the longer time frames will exert more influence on the estimation. As this value approaches infinity, the behavior of the Rational Quadratic Kernel will become identical to the Gaussian kernel.      startAtBar (simple int)   Returns: yhat The estimated values according to the Rational Quadratic Kernel. gaussian(_src, _lookback, startAtBar)   Gaussian Kernel - A weighted average of the source series. The weights are determined by the Radial Basis Function (RBF).   Parameters:      _src (float) : The source series.      _lookback (simple int) : The number of bars used for the estimation. This is a sliding value that represents the most recent historical bars.      startAtBar (simple int)   Returns: yhat The estimated values according to the Gaussian Kernel. periodic(_src, _lookback, _period, startAtBar)   Periodic Kernel - The periodic kernel (derived by David Mackay) allows one to model functions which repeat themselves exactly.   Parameters:      _src (float) : The source series.      _lookback (simple int) : The number of bars used for the estimation. This is a sliding value that represents the most recent historical bars.      _period (simple int) : The distance between repititions of the function.      startAtBar (simple int)   Returns: yhat The estimated values according to the Periodic Kernel. locallyPeriodic(_src, _lookback, _period, startAtBar)   Locally Periodic Kernel - The locally periodic kernel is a periodic function that slowly varies with time. It is the product of the Periodic Kernel and the Gaussian Kernel.   Parameters:      _src (float) : The source series.      _lookback (simple int) : The number of bars used for the estimation. This is a sliding value that represents the most recent historical bars.      _period (simple int) : The distance between repititions of the function.      startAtBar (simple int)   Returns: yhat The estimated values according to the Locally Periodic Kernel.
Pine Script® kütüphanesi
TFU_Tradewise tarafından
MLExtensionsLibrary "MLExtensions" A set of extension methods for a novel implementation of a Approximate Nearest Neighbors (ANN) algorithm in Lorentzian space. normalizeDeriv(src, quadraticMeanLength)   Returns the smoothed hyperbolic tangent of the input series.   Parameters:      src (float) : The input series (i.e., the first-order derivative for price).      quadraticMeanLength (int) : The length of the quadratic mean (RMS).   Returns: nDeriv The normalized derivative of the input series. normalize(src, min, max)   Rescales a source value with an unbounded range to a target range.   Parameters:      src (float) : The input series      min (float) : The minimum value of the unbounded range      max (float) : The maximum value of the unbounded range   Returns: The normalized series rescale(src, oldMin, oldMax, newMin, newMax)   Rescales a source value with a bounded range to anther bounded range   Parameters:      src (float) : The input series      oldMin (float) : The minimum value of the range to rescale from      oldMax (float) : The maximum value of the range to rescale from      newMin (float) : The minimum value of the range to rescale to      newMax (float) : The maximum value of the range to rescale to   Returns: The rescaled series getColorShades(color)   Creates an array of colors with varying shades of the input color   Parameters:      color (color) : The color to create shades of   Returns: An array of colors with varying shades of the input color getPredictionColor(prediction, neighborsCount, shadesArr)   Determines the color shade based on prediction percentile   Parameters:      prediction (float) : Value of the prediction      neighborsCount (int) : The number of neighbors used in a nearest neighbors classification      shadesArr (array) : An array of colors with varying shades of the input color   Returns: shade Color shade based on prediction percentile color_green(prediction)   Assigns varying shades of the color green based on the KNN classification   Parameters:      prediction (float) : Value (int|float) of the prediction   Returns: color color_red(prediction)   Assigns varying shades of the color red based on the KNN classification   Parameters:      prediction (float) : Value of the prediction   Returns: color tanh(src)   Returns the the hyperbolic tangent of the input series. The sigmoid-like hyperbolic tangent function is used to compress the input to a value between -1 and 1.   Parameters:      src (float) : The input series (i.e., the normalized derivative).   Returns: tanh The hyperbolic tangent of the input series. dualPoleFilter(src, lookback)   Returns the smoothed hyperbolic tangent of the input series.   Parameters:      src (float) : The input series (i.e., the hyperbolic tangent).      lookback (int) : The lookback window for the smoothing.   Returns: filter The smoothed hyperbolic tangent of the input series. tanhTransform(src, smoothingFrequency, quadraticMeanLength)   Returns the tanh transform of the input series.   Parameters:      src (float) : The input series (i.e., the result of the tanh calculation).      smoothingFrequency (int)      quadraticMeanLength (int)   Returns: signal The smoothed hyperbolic tangent transform of the input series. n_rsi(src, n1, n2)   Returns the normalized RSI ideal for use in ML algorithms.   Parameters:      src (float) : The input series (i.e., the result of the RSI calculation).      n1 (simple int) : The length of the RSI.      n2 (simple int) : The smoothing length of the RSI.   Returns: signal The normalized RSI. n_cci(src, n1, n2)   Returns the normalized CCI ideal for use in ML algorithms.   Parameters:      src (float) : The input series (i.e., the result of the CCI calculation).      n1 (simple int) : The length of the CCI.      n2 (simple int) : The smoothing length of the CCI.   Returns: signal The normalized CCI. n_wt(src, n1, n2)   Returns the normalized WaveTrend Classic series ideal for use in ML algorithms.   Parameters:      src (float) : The input series (i.e., the result of the WaveTrend Classic calculation).      n1 (simple int)      n2 (simple int)   Returns: signal The normalized WaveTrend Classic series. n_adx(highSrc, lowSrc, closeSrc, n1)   Returns the normalized ADX ideal for use in ML algorithms.   Parameters:      highSrc (float) : The input series for the high price.      lowSrc (float) : The input series for the low price.      closeSrc (float) : The input series for the close price.      n1 (simple int) : The length of the ADX. regime_filter(src, threshold, useRegimeFilter)   Parameters:      src (float)      threshold (float)      useRegimeFilter (bool) filter_adx(src, length, adxThreshold, useAdxFilter)   filter_adx   Parameters:      src (float) : The source series.      length (simple int) : The length of the ADX.      adxThreshold (int) : The ADX threshold.      useAdxFilter (bool) : Whether to use the ADX filter.   Returns: The ADX. filter_volatility(minLength, maxLength, useVolatilityFilter)   filter_volatility   Parameters:      minLength (simple int) : The minimum length of the ATR.      maxLength (simple int) : The maximum length of the ATR.      useVolatilityFilter (bool) : Whether to use the volatility filter.   Returns: Boolean indicating whether or not to let the signal pass through the filter. backtest(high, low, open, startLongTrade, endLongTrade, startShortTrade, endShortTrade, isEarlySignalFlip, maxBarsBackIndex, thisBarIndex, src, useWorstCase)   Performs a basic backtest using the specified parameters and conditions.   Parameters:      high (float) : The input series for the high price.      low (float) : The input series for the low price.      open (float) : The input series for the open price.      startLongTrade (bool) : The series of conditions that indicate the start of a long trade.      endLongTrade (bool) : The series of conditions that indicate the end of a long trade.      startShortTrade (bool) : The series of conditions that indicate the start of a short trade.      endShortTrade (bool) : The series of conditions that indicate the end of a short trade.      isEarlySignalFlip (bool) : Whether or not the signal flip is early.      maxBarsBackIndex (int) : The maximum number of bars to go back in the backtest.      thisBarIndex (int) : The current bar index.      src (float) : The source series.      useWorstCase (bool) : Whether to use the worst case scenario for the backtest.   Returns: A tuple containing backtest values init_table()   init_table()   Returns: tbl The backtest results. update_table(tbl, tradeStatsHeader, totalTrades, totalWins, totalLosses, winLossRatio, winrate, earlySignalFlips)   update_table(tbl, tradeStats)   Parameters:      tbl (table) : The backtest results table.      tradeStatsHeader (string) : The trade stats header.      totalTrades (float) : The total number of trades.      totalWins (float) : The total number of wins.      totalLosses (float) : The total number of losses.      winLossRatio (float) : The win loss ratio.      winrate (float) : The winrate.      earlySignalFlips (float) : The total number of early signal flips.   Returns: Updated backtest results table.
Pine Script® kütüphanesi
TFU_Tradewise tarafından
Daily O/C Span (Real Values & SMA Comparison)This Pine Script indicator helps you visualize and track the "momentum" or "strength" of each trading day, and compares it to a recent average. It essentially measures the net movement of the price from when the market opens to when it closes. What the Script Does The script performs the following actions: Calculates Daily Movement: For every single trading day, it calculates the difference between the closing price and the opening price (Close - Open). Plots the "Span": These daily differences are plotted as vertical bars (a histogram) in a separate window below your main price chart. -Green bars mean the stock closed higher than it opened (a strong day). -Red bars mean the stock closed lower than it opened (a weak day). Calculates the Average: It calculates the Simple Moving Average (SMA) of these daily spans over an adjustable period (default is 30 days). Plots the Average Line: A blue line is plotted over the green/red bars, showing the typical magnitude of daily movement. Displays Comparison: A table in the top-right corner provides a quick, real-time numerical comparison of today's span versus the 30-day average span. How It Can Improve Trading This indicator helps you understand the character and conviction of price action, offering several trading insights: Gauging Momentum: It clarifies whether the stock's moves are generally strong and sustained within a day (large spans) or hesitant (small spans). Identifying Trends: During an uptrend, you might expect the average span line to be consistently positive (above zero), and vice versa for a downtrend. A positive average span indicates buyers are consistently closing the day stronger than where they started it. Spotting Reversals: If a stock is in a strong uptrend but you suddenly see a series of large red bars (large negative spans), it could signal a shift in momentum and potential upcoming reversal. Volatility Context: By comparing the current day's bar to the blue average line, you can quickly determine if today is an unusually strong/weak day relative to recent history. In short, it helps you see the underlying buyer/seller conviction within each day, making it easier to gauge the overall market sentiment and anticipate potential shifts.
Pine Script® göstergesi
topefu tarafından
ADR% / ATR / Dynamic LoD–HoD TableThis indicator displays a clean data table showing ADR%, ATR, and a dynamic LoD/HoD distance value based on daily trend conditions. When price is above the 21-day or 50-day moving average, the indicator shows the distance from the Low of Day. When price is below BOTH daily moving averages, it automatically switches to showing distance from the High of Day. The table updates in real-time and gives a fast, volatility-based view of where price sits inside the day’s range. Features • ADR% (Average Daily Range Percentage) • ATR (Average True Range) • Automatic LoD → HoD switching based on daily trend • Customizable colors and layout • Clean, space-efficient table format • Designed for intraday and volatility-focused traders
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InsiderTradingCuh tarafından
Smart Scalper V7 [Churn Filter]Indicator uses relative volume by time as well as ADX to highlight if volume is high to prevent trading in chop or being faked out. Dec 1 Release Notes How to Read the "Traffic Light" 🚦 You asked: "How do I work out if volume is higher or lower?" Look at the White Horizontal Line running across the indicator. Height (Quantity): Above the Line: Volume is High (The crowd is here). Below the Line: Volume is Low (Everyone is at lunch). Color (Quality): 🟢 Green: High Volume + Strong Trend. (Best for Entries). 🟡 Yellow: High Volume but NO Trend. This is usually a Reversal or a Trap. (Big fight, no winner yet). 🟠 Orange: Trending, but on Low Volume. The price is drifting. Don't trust it—it can snap back easily. 🔴 Red: Low Volume, No Trend. The "Kill Zone." Do not trade.
Pine Script® göstergesi
jvwijk tarafından
TDI Fibonacci Volatility Bands Candle Coloring [cryptalent]"This is an advanced Traders Dynamic Index (TDI) candle coloring system, designed for traders seeking precise dynamic analysis. Unlike traditional TDI, which typically relies on a 50 midline with a single standard deviation band (±1 SD), this indicator innovatively incorporates Fibonacci golden ratio multiples (1.618, 2.618, 3.618 times standard deviation) to create multi-layered dynamic bands. It precisely divides the RSI fast line (green line) position into five distinct strength zones, instantly reflecting them on the candle colors, allowing you to grasp market sentiment in real-time without switching to a sub-chart. Core Calculation Logic: RSI Period (default 20), Band Length (default 50), and Fast MA Smoothing Period (default 1) are all adjustable. The midline is the Simple Moving Average (SMA) of RSI, with upper and lower bands calculated by multiplying Fibonacci multiples with Standard Deviation (STDEV), generating three dynamic band sets: 1.618, 2.618, and 3.618. Traders can quickly identify the following scenarios: Extreme Overbought Zone (Strong Bullish, Red): Fast line exceeds custom threshold (default 82) and breaks above the specified band (default 2.618). This often signals overheating, potentially a profit-taking point or reversal short entry, especially at trend tops. Extreme Oversold Zone (Strong Bearish, Green): Fast line drops below custom threshold (default 28) and breaks below the specified band (default 2.618). This is a potential strong rebound starting point, ideal for bottom-fishing or long entries. Medium Bullish Zone (Yellow): Fast line surpasses medium threshold (default 66) and stands above the specified band (default 1.618), indicating bullish dominance in trend continuation. Medium Bearish Zone (Orange): Fast line falls below medium threshold (default 33) and breaks below the specified band (default 1.618), signaling bearish control in segment transitions. Neutral Zone (No Color Change): Fast line within custom upper and lower limits (default 34~65), retaining original candle colors to avoid noise interference during consolidation. Color priority logic flows from strong to weak (Extreme > Medium > Neutral), ensuring no conflicts. All parameters are highly customizable, including thresholds, band selections (1.618/2.618/3.618/Midline/None), color schemes, and even optional semi-transparent background coloring (default off, transparency 90%) for enhanced visual layering. Applicable Scenarios: Intraday Trading: Capture extreme color shifts as entry/exit signals. Swing Trading: Use medium colors to confirm trend extensions. Long-Term Trend Following: Filter noise in neutral zones to focus on major trends. Supports various markets like forex, stocks, and cryptocurrencies. After installation, adjust parameters in settings to match your strategy, and combine with other indicators like moving averages or support/resistance for improved accuracy. If you're a TDI enthusiast, this will make your trading more intuitive and efficient!
Pine Script® göstergesi
cryptalent tarafından
VCAI Volume LiteVCAI Volume Lite is a clean, modern take on volume analysis designed for traders who want a clearer read on participation without loading multiple indicators. This Lite edition focuses on the essentials: real activity vs dead sessions expansion vs contraction momentum shifts around breakouts and pullbacks No hype, no filters, no hidden logic — just a straightforward volume tool rebuilt with the VCAI visual framework. Use it to quickly spot: stronger moves backed by genuine participation weak pushes running on low volume areas where momentum may stall or accelerate Part of the VCAI Lite Series.
Pine Script® göstergesi
Vectorcoresai tarafından
ROBBIE + EMA1️⃣ Purpose This indicator identifies Knoxville Divergence signals (Rob Booker method) while filtering trades according to trend using an EMA. Bullish signal: Price shows divergence and is above EMA → buy bias. Bearish signal: Price shows divergence and is below EMA → sell bias. It combines price pivots, RSI divergence, momentum, and EMA trend for higher-probability signals. 2️⃣ Key Components a) Inputs rsiLength → Period for RSI (default 14) momLength → Period for Momentum (default 10) pivotLen → Lookback for pivot detection (default 5) emaLength → EMA period for trend filter (default 50) b) Pivot Detection ta.pivotlow() → detects price and RSI lows ta.pivothigh() → detects price and RSI highs Only pivots confirmed after pivotLen bars are used for divergence logic. c) Knoxville Divergence Logic Bullish Divergence: Price forms a lower low RSI forms a higher low Momentum > 0 Price above EMA (trend confirmation) Bearish Divergence: Price forms a higher high RSI forms a lower high Momentum < 0 Price below EMA (trend confirmation)
Pine Script® göstergesi
bhaskar040422 tarafından