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BecakFloatingPanelsLibrary "BecakFloatingPanels" Library for creating floating indicator panels with MACD, RSI, and Stochastic indicators calculateMacd(source, fastLength, slowLength, signalLength)   Calculate MACD components   Parameters:      source (float) : Price source for calculation      fastLength (simple int) : Fast EMA period      slowLength (simple int) : Slow EMA period      signalLength (simple int) : Signal line period   Returns: MacdData MACD calculation results calculateRsi(source, length)   Calculate RSI   Parameters:      source (float) : Price source for calculation      length (simple int) : RSI period   Returns: float RSI value calculateStochastic(source, high, low, kLength, kSmoothing, dSmoothing)   Calculate Stochastic components   Parameters:      source (float) : Price source for calculation      high (float) : High prices      low (float) : Low prices      kLength (int) : %K period      kSmoothing (int) : %K smoothing period      dSmoothing (int) : %D smoothing period   Returns: StochData Stochastic calculation results calculateStochSignals(stochK, stochD, overboughtLevel, oversoldLevel)   Calculate Stochastic signals   Parameters:      stochK (float) : Stochastic %K series      stochD (float) : Stochastic %D series      overboughtLevel (float) : Overbought threshold      oversoldLevel (float) : Oversold threshold   Returns: StochSignals Signal flags calculateChartMetrics(high, low, lookbackLength)   Calculate chart range and positioning metrics   Parameters:      high (float) : High prices      low (float) : Low prices      lookbackLength (int) : Lookback period   Returns: ChartMetrics Chart positioning data calculateMacdRange(macdLine, signalLine, histogram, safeLookback)   Calculate MACD range for normalization   Parameters:      macdLine (float) : MACD line series      signalLine (float) : Signal line series      histogram (float) : Histogram series      safeLookback (int) : Lookback period   Returns: MacdRange MACD range metrics initVisualArrays()   Initialize visual arrays   Returns: VisualArrays Container with initialized arrays clearVisuals(visuals)   Clear all visual elements   Parameters:      visuals (VisualArrays) : VisualArrays container   Returns: void calculatePanelPositions(chartMetrics, oscPlacement, panelHeight, panelSpacing, centerOffset)   Calculate panel positions based on placement option   Parameters:      chartMetrics (ChartMetrics) : Chart metrics object      oscPlacement (string) : Panel placement option      panelHeight (float) : Panel height percentage      panelSpacing (float) : Panel spacing percentage      centerOffset (float) : Center offset percentage   Returns: PanelPositions Panel boundary coordinates createPanelBackgrounds(visuals, positions, panelLeft, panelRight, showBackground, transparency)   Create panel backgrounds   Parameters:      visuals (VisualArrays) : VisualArrays container      positions (PanelPositions) : PanelPositions object      panelLeft (int) : Left boundary      panelRight (int) : Right boundary      showBackground (bool) : Show background flag      transparency (int) : Background transparency   Returns: void drawReferenceLines(visuals, positions, chartMetrics, macdRange, dataLeft, dataRight, panelHeight, rsiOverbought, rsiOversold, stochOverbought, stochOversold)   Draw reference lines for all panels   Parameters:      visuals (VisualArrays) : VisualArrays container      positions (PanelPositions) : PanelPositions object      chartMetrics (ChartMetrics) : ChartMetrics object      macdRange (MacdRange) : MacdRange object      dataLeft (int) : Left data boundary      dataRight (int) : Right data boundary      panelHeight (float) : Panel height percentage      rsiOverbought (int) : RSI overbought level      rsiOversold (int) : RSI oversold level      stochOverbought (int) : Stochastic overbought level      stochOversold (int) : Stochastic oversold level   Returns: void drawMacdIndicator(visuals, macdLine, signalLine, histogram, macdRange, positions, chartMetrics, barIndex, nextBarIndex, barIndexOffset, panelHeight)   Draw MACD indicator   Parameters:      visuals (VisualArrays) : VisualArrays container      macdLine (float) : MACD line series      signalLine (float) : Signal line series      histogram (float) : Histogram series      macdRange (MacdRange) : MacdRange object      positions (PanelPositions) : PanelPositions object      chartMetrics (ChartMetrics) : ChartMetrics object      barIndex (int) : Current bar index      nextBarIndex (int) : Next bar index      barIndexOffset (int) : Horizontal offset      panelHeight (float) : Panel height percentage   Returns: void drawRsiIndicator(visuals, rsiValue, positions, chartMetrics, barIndex, nextBarIndex, barIndexOffset, panelHeight)   Draw RSI indicator   Parameters:      visuals (VisualArrays) : VisualArrays container      rsiValue (float) : RSI value      positions (PanelPositions) : PanelPositions object      chartMetrics (ChartMetrics) : ChartMetrics object      barIndex (int) : Current bar index      nextBarIndex (int) : Next bar index      barIndexOffset (int) : Horizontal offset      panelHeight (float) : Panel height percentage   Returns: void drawStochasticIndicator(visuals, stochK, stochD, positions, chartMetrics, barIndex, nextBarIndex, barIndexOffset, panelHeight, stochOverbought, stochOversold)   Draw Stochastic indicator   Parameters:      visuals (VisualArrays) : VisualArrays container      stochK (float) : Stochastic %K series      stochD (float) : Stochastic %D series      positions (PanelPositions) : PanelPositions object      chartMetrics (ChartMetrics) : ChartMetrics object      barIndex (int) : Current bar index      nextBarIndex (int) : Next bar index      barIndexOffset (int) : Horizontal offset      panelHeight (float) : Panel height percentage      stochOverbought (int) : Overbought level      stochOversold (int) : Oversold level   Returns: void addStochasticSignals(visuals, buySignal, sellSignal, positions, chartMetrics, currentBarIndex, barIndexOffset, panelHeight, signalIndex)   Add Stochastic buy/sell signals   Parameters:      visuals (VisualArrays) : VisualArrays container      buySignal (bool) : Buy signal series      sellSignal (bool) : Sell signal series      positions (PanelPositions) : PanelPositions object      chartMetrics (ChartMetrics) : ChartMetrics object      currentBarIndex (int) : Current bar index      barIndexOffset (int) : Horizontal offset      panelHeight (float) : Panel height percentage      signalIndex (int) : Signal index for lookback   Returns: void setPanelLabels(macdLabel, rsiLabel, stochLabel, positions, chartMetrics, labelOffset, panelHeight, barIndexOffset)   Set panel title labels   Parameters:      macdLabel (label) : MACD label reference      rsiLabel (label) : RSI label reference      stochLabel (label) : Stochastic label reference      positions (PanelPositions) : PanelPositions object      chartMetrics (ChartMetrics) : ChartMetrics object      labelOffset (int) : Label horizontal offset      panelHeight (float) : Panel height percentage      barIndexOffset (int) : Horizontal offset   Returns: void showDebugInfo(chartMetrics, debugMode)   Display debug information   Parameters:      chartMetrics (ChartMetrics) : ChartMetrics object      debugMode (bool) : Debug mode flag   Returns: void ChartMetrics   Chart metrics container   Fields:      visibleHigh (series float) : Highest visible price      visibleLow (series float) : Lowest visible price      chartRange (series float) : Price range of chart      chartCenter (series float) : Center point of chart MacdData   MACD calculation results   Fields:      macdLine (series float) : Main MACD line      signalLine (series float) : Signal line      histogram (series float) : MACD histogram MacdRange   MACD range metrics for normalization   Fields:      highest (series float) : Highest MACD value      lowest (series float) : Lowest MACD value      BRange (series float) : Total range StochData   Stochastic calculation results   Fields:      k_smooth (series float) : Smoothed %K line      d (series float) : %D line StochSignals   Stochastic signals   Fields:      buySignal (series bool) : Buy signal flag      sellSignal (series bool) : Sell signal flag PanelPositions   Panel positioning data   Fields:      macdTop (series float) : MACD panel top      macdBottom (series float) : MACD panel bottom      rsiTop (series float) : RSI panel top      rsiBottom (series float) : RSI panel bottom      stochTop (series float) : Stochastic panel top      stochBottom (series float) : Stochastic panel bottom VisualArrays   Visual elements arrays container   Fields:      macdLines (array) : Array of MACD lines      macdHist (array) : Array of MACD histogram boxes      rsiLines (array) : Array of RSI lines      stochLines (array) : Array of Stochastic lines      stochAreas (array) : Array of Stochastic areas      stochSignals (array) : Array of Stochastic signals      panelBackgrounds (array) : Array of panel backgrounds
Pine Script® Bibliothek
von kromut76
VN30 Effort-vs-Result Multi-Scanner — LinhVN30 Effort-vs-Result Multi-Scanner (Pine v5) Cross-section scanner for Vietnam’s VN30 stocks that surfaces Effort vs Result footprints and related accumulation/distribution and volatility tells. It renders a ranked table (Top-N) with per-ticker signals and key metrics. What it does Scans up to 30 tickers (editable input.symbol slots) using one security() call per symbol → stays under Pine’s 40-call limit and runs reliably on any chart. Scores each ticker by counting active signals, then ranks and lists the top names. Optional metrics columns: zVol(60), zTR(60), ATR(20), HL/ATR(20). Signals (toggleable) Price/Volume – Effort vs Result EVR Squeeze (stealth): z(Vol,60) > 4 & z(TR,60) < −0.5 5σ Vol, ≤1σ Ret: z(Vol,60) > 5 & |z(Return,60)| < 1 Wide Effort, Opposite Result: z(Vol,60) > 3 & close < open & z(CLV×Vol,60) > 1 Spread Compression, Heavy Tape: (H−L)/ATR(20) < 0.6 & z(Vol,60) > 3 No-Supply / No-Demand: close < close & range < 0.6×ATR(20) & vol < 0.5×SMA(20) Momentum & Volatility Vol-of-Vol Kink: z(ATR20,200) rising & z(ATR5,60) falling BB Squeeze → Expansion: BBWidth(20) in low regime (z<−1.3) then close > upper band & z(Vol,60) > 2 RSI Non-Confirmation: Price LL/HH with RSI HL/LH & z(Vol,60) > 1 Accumulation/Distribution OBV Divergence w/ Flat Price: OBV slope > 0 & |z(ret20,260)| < 0.3 Accumulation Days Cluster: ≥3/5 bars: up close, higher vol, close near high Effort-Result Inversion (Down): big vol on down day then next day close > prior high How to use Set the timeframe (works best on 1D for EOD scans). Edit the 30 symbol slots to your VN30 constituents. Choose Top N, toggle Show metrics/Only matches and enable/disable scenarios. Read the table: Rank, Ticker, (metrics), Score, and comma-separated Signals fired. Method notes Z-scores use a population-std estimate; CLV×Vol is used for effort/location. Rolling counts avoid ta.sum; OBV is computed manually; all logic is Pine v5-safe. Intraday-only ideas (true VWAP magnets, auction volume, flows, futures/options) are not included—Pine can’t cross-scan those datasets. Disclaimer: Educational tool, not financial advice. Always confirm signals on the chart and with your process.
Pine Script® Indikator
von EmmaMia1618
MSFA_LibraryLibrary "MSFA_library" TODO: add library description here getDecimals()   Calculates how many decimals are on the quote price of the current market   Returns: The current decimal places on the market quote price getPipSize(multiplier)   Calculates the pip size of the current market   Parameters:      multiplier (int) : The mintick point multiplier (1 by default, 10 for FX/Crypto/CFD but can be used to override when certain markets require)   Returns: The pip size for the current market truncate(number, decimalPlaces)   Truncates (cuts) excess decimal places   Parameters:      number (float) : The number to truncate      decimalPlaces (simple float) : (default=2) The number of decimal places to truncate to   Returns: The given number truncated to the given decimalPlaces toWhole(number)   Converts pips into whole numbers   Parameters:      number (float) : The pip number to convert into a whole number   Returns: The converted number toPips(number)   Converts whole numbers back into pips   Parameters:      number (float) : The whole number to convert into pips   Returns: The converted number getPctChange(value1, value2, lookback)   Gets the percentage change between 2 float values over a given lookback period   Parameters:      value1 (float) : The first value to reference      value2 (float) : The second value to reference      lookback (int) : The lookback period to analyze   Returns: The percent change over the two values and lookback period random(minRange, maxRange)   Wichmann–Hill Pseudo-Random Number Generator   Parameters:      minRange (float) : The smallest possible number (default: 0)      maxRange (float) : The largest possible number (default: 1)   Returns: A random number between minRange and maxRange bullFib(priceLow, priceHigh, fibRatio)   Calculates a bullish fibonacci value   Parameters:      priceLow (float) : The lowest price point      priceHigh (float) : The highest price point      fibRatio (float) : The fibonacci % ratio to calculate   Returns: The fibonacci value of the given ratio between the two price points bearFib(priceLow, priceHigh, fibRatio)   Calculates a bearish fibonacci value   Parameters:      priceLow (float) : The lowest price point      priceHigh (float) : The highest price point      fibRatio (float) : The fibonacci % ratio to calculate   Returns: The fibonacci value of the given ratio between the two price points getMA(length, maType)   Gets a Moving Average based on type (! MUST BE CALLED ON EVERY TICK TO BE ACCURATE, don't place in scopes)   Parameters:      length (simple int) : The MA period      maType (string) : The type of MA   Returns: A moving average with the given parameters barsAboveMA(lookback, ma)   Counts how many candles are above the MA   Parameters:      lookback (int) : The lookback period to look back over      ma (float) : The moving average to check   Returns: The bar count of how many recent bars are above the MA barsBelowMA(lookback, ma)   Counts how many candles are below the MA   Parameters:      lookback (int) : The lookback period to look back over      ma (float) : The moving average to reference   Returns: The bar count of how many recent bars are below the EMA barsCrossedMA(lookback, ma)   Counts how many times the EMA was crossed recently (based on closing prices)   Parameters:      lookback (int) : The lookback period to look back over      ma (float) : The moving average to reference   Returns: The bar count of how many times price recently crossed the EMA (based on closing prices) getPullbackBarCount(lookback, direction)   Counts how many green & red bars have printed recently (ie. pullback count)   Parameters:      lookback (int) : The lookback period to look back over      direction (int) : The color of the bar to count (1 = Green, -1 = Red)   Returns: The bar count of how many candles have retraced over the given lookback & direction getBodySize()   Gets the current candle's body size (in POINTS, divide by 10 to get pips)   Returns: The current candle's body size in POINTS getTopWickSize()   Gets the current candle's top wick size (in POINTS, divide by 10 to get pips)   Returns: The current candle's top wick size in POINTS getBottomWickSize()   Gets the current candle's bottom wick size (in POINTS, divide by 10 to get pips)   Returns: The current candle's bottom wick size in POINTS getBodyPercent()   Gets the current candle's body size as a percentage of its entire size including its wicks   Returns: The current candle's body size percentage isHammer(fib, colorMatch)   Checks if the current bar is a hammer candle based on the given parameters   Parameters:      fib (float) : (default=0.382) The fib to base candle body on      colorMatch (bool) : (default=false) Does the candle need to be green? (true/false)   Returns: A boolean - true if the current bar matches the requirements of a hammer candle isStar(fib, colorMatch)   Checks if the current bar is a shooting star candle based on the given parameters   Parameters:      fib (float) : (default=0.382) The fib to base candle body on      colorMatch (bool) : (default=false) Does the candle need to be red? (true/false)   Returns: A boolean - true if the current bar matches the requirements of a shooting star candle isDoji(wickSize, bodySize)   Checks if the current bar is a doji candle based on the given parameters   Parameters:      wickSize (float) : (default=2) The maximum top wick size compared to the bottom (and vice versa)      bodySize (float) : (default=0.05) The maximum body size as a percentage compared to the entire candle size   Returns: A boolean - true if the current bar matches the requirements of a doji candle isBullishEC(allowance, rejectionWickSize, engulfWick)   Checks if the current bar is a bullish engulfing candle   Parameters:      allowance (float) : (default=0) How many POINTS to allow the open to be off by (useful for markets with micro gaps)      rejectionWickSize (float) : (default=disabled) The maximum rejection wick size compared to the body as a percentage      engulfWick (bool) : (default=false) Does the engulfing candle require the wick to be engulfed as well?   Returns: A boolean - true if the current bar matches the requirements of a bullish engulfing candle isBearishEC(allowance, rejectionWickSize, engulfWick)   Checks if the current bar is a bearish engulfing candle   Parameters:      allowance (float) : (default=0) How many POINTS to allow the open to be off by (useful for markets with micro gaps)      rejectionWickSize (float) : (default=disabled) The maximum rejection wick size compared to the body as a percentage      engulfWick (bool) : (default=false) Does the engulfing candle require the wick to be engulfed as well?   Returns: A boolean - true if the current bar matches the requirements of a bearish engulfing candle isInsideBar()   Detects inside bars   Returns: Returns true if the current bar is an inside bar isOutsideBar()   Detects outside bars   Returns: Returns true if the current bar is an outside bar barInSession(sess, useFilter)   Determines if the current price bar falls inside the specified session   Parameters:      sess (simple string) : The session to check      useFilter (bool) : (default=true) Whether or not to actually use this filter   Returns: A boolean - true if the current bar falls within the given time session barOutSession(sess, useFilter)   Determines if the current price bar falls outside the specified session   Parameters:      sess (simple string) : The session to check      useFilter (bool) : (default=true) Whether or not to actually use this filter   Returns: A boolean - true if the current bar falls outside the given time session dateFilter(startTime, endTime)   Determines if this bar's time falls within date filter range   Parameters:      startTime (int) : The UNIX date timestamp to begin searching from      endTime (int) : the UNIX date timestamp to stop searching from   Returns: A boolean - true if the current bar falls within the given dates dayFilter(monday, tuesday, wednesday, thursday, friday, saturday, sunday)   Checks if the current bar's day is in the list of given days to analyze   Parameters:      monday (bool) : Should the script analyze this day? (true/false)      tuesday (bool) : Should the script analyze this day? (true/false)      wednesday (bool) : Should the script analyze this day? (true/false)      thursday (bool) : Should the script analyze this day? (true/false)      friday (bool) : Should the script analyze this day? (true/false)      saturday (bool) : Should the script analyze this day? (true/false)      sunday (bool) : Should the script analyze this day? (true/false)   Returns: A boolean - true if the current bar's day is one of the given days atrFilter(atrValue, maxSize)   Parameters:      atrValue (float)      maxSize (float) tradeCount()   Calculate total trade count   Returns: Total closed trade count isLong()   Check if we're currently in a long trade   Returns: True if our position size is positive isShort()   Check if we're currently in a short trade   Returns: True if our position size is negative isFlat()   Check if we're currentlyflat   Returns: True if our position size is zero wonTrade()   Check if this bar falls after a winning trade   Returns: True if we just won a trade lostTrade()   Check if this bar falls after a losing trade   Returns: True if we just lost a trade maxDrawdownRealized()   Gets the max drawdown based on closed trades (ie. realized P&L). The strategy tester displays max drawdown as open P&L (unrealized).   Returns: The max drawdown based on closed trades (ie. realized P&L). The strategy tester displays max drawdown as open P&L (unrealized). totalPipReturn()   Gets the total amount of pips won/lost (as a whole number)   Returns: Total amount of pips won/lost (as a whole number) longWinCount()   Count how many winning long trades we've had   Returns: Long win count shortWinCount()   Count how many winning short trades we've had   Returns: Short win count longLossCount()   Count how many losing long trades we've had   Returns: Long loss count shortLossCount()   Count how many losing short trades we've had   Returns: Short loss count breakEvenCount(allowanceTicks)   Count how many break-even trades we've had   Parameters:      allowanceTicks (float) : Optional - how many ticks to allow between entry & exit price (default 0)   Returns: Break-even count longCount()   Count how many long trades we've taken   Returns: Long trade count shortCount()   Count how many short trades we've taken   Returns: Short trade count longWinPercent()   Calculate win rate of long trades   Returns: Long win rate (0-100) shortWinPercent()   Calculate win rate of short trades   Returns: Short win rate (0-100) breakEvenPercent(allowanceTicks)   Calculate break even rate of all trades   Parameters:      allowanceTicks (float) : Optional - how many ticks to allow between entry & exit price (default 0)   Returns: Break-even win rate (0-100) averageRR()   Calculate average risk:reward   Returns: Average winning trade divided by average losing trade unitsToLots(units)   (Forex) Convert the given unit count to lots (multiples of 100,000)   Parameters:      units (float) : The units to convert into lots   Returns: Units converted to nearest lot size (as float) skipTradeMonteCarlo(chance, debug)   Checks to see if trade should be skipped to emulate rudimentary Monte Carlo simulation   Parameters:      chance (float) : The chance to skip a trade (0-1 or 0-100, function will normalize to 0-1)      debug (bool) : Whether or not to display a label informing of the trade skip   Returns: True if the trade is skipped, false if it's not skipped (idea being to include this function in entry condition validation checks) fillCell(tableID, column, row, title, value, bgcolor, txtcolor, tooltip)   This updates the given table's cell with the given values   Parameters:      tableID (table) : The table ID to update      column (int) : The column to update      row (int) : The row to update      title (string) : The title of this cell      value (string) : The value of this cell      bgcolor (color) : The background color of this cell      txtcolor (color) : The text color of this cell      tooltip (string)   Returns: Nothing.
Pine Script® Bibliothek
von hphuc0212
Advanced Market TheoryADVANCED MARKET THEORY (AMT) This is not an indicator. It is a lens through which to see the true nature of the market. Welcome to the definitive application of Auction Market Theory. What you have before you is the culmination of decades of market theory, fused with state-of-the-art data analysis and visual engineering. It is an institutional-grade intelligence engine designed for the serious trader who seeks to move beyond simplistic indicators and understand the fundamental forces that drive price. This guide is your complete reference. Read it. Study it. Internalize it. The market is a complex story, and this tool is the language with which to read it. PART I: THE GRAND THEORY - A UNIVERSE IN AN AUCTION To understand the market, you must first understand its purpose. The market is a mechanism of discovery, organized by a continuous, two-way auction. This foundational concept was pioneered by the legendary trader J. Peter Steidlmayer at the Chicago Board of Trade in the 1980s. He observed that beneath the chaotic facade of ticking prices lies a beautifully organized structure. The market's primary function is not to go up or down, but to facilitate trade by seeking a price level that encourages the maximum amount of interaction between buyers and sellers. This price is "value." The Organizing Principle: The Normal Distribution Over any given period, the market's activity will naturally form a bell curve (a normal distribution) turned on its side. This is the blueprint of the auction. The Point of Control (POC): This is the peak of the bell curve—the single price level where the most trade occurred. It represents the point of maximum consensus, the "fairest price" as determined by the market participants. It is the gravitational center of the session. The Value Area (VA): This is the heart of the bell curve, typically containing 70% of the session's activity (one standard deviation). This is the zone of "accepted value." Prices within this area are considered fair and are where the market is most comfortable conducting business. The Extremes: The thin areas at the top and bottom of the curve are the "unfair" prices. These are levels where one side of the auction (buyers at the top, sellers at the bottom) was shut off, and trade was quickly rejected. These are areas of emotional trading and excess. The Narrative of the Day: Balance vs. Imbalance Every trading session is a story of the market's search for value. Balance: When the market rotates and builds a symmetrical, bell-shaped profile, it is in a state of balance . Buyers and sellers are in agreement, and the market is range-bound. Imbalance: When the market moves decisively away from a balanced area, it is in a state of imbalance . This is a trend. The market is actively seeking new information and a new area of value because the old one was rejected. Your Purpose as a Trader Your job is to read this story in real-time. Are we in balance or imbalance? Is the auction succeeding or failing at these new prices? The Advanced Market Theory engine is your Rosetta Stone to translate this complex narrative into actionable intelligence. PART II: THE AMT ENGINE - AN EVOLUTION IN MARKET VISION A standard market profile tool shows you a picture. The AMT Engine gives you the architect's full schematics, the engineer's stress tests, and the psychologist's behavioral analysis, all at once. This is what makes it the Advanced Market Theory. We have fused the timeless principles with layers of modern intelligence: TRINITY ANALYSIS: You can view the market through three distinct lenses. A Volume Profile shows where the money traded. A TPO (Time) Profile shows where the market spent its time. The revolutionary Hybrid Profile fuses both, giving you a complete picture of market conviction—marrying volume with duration. AUTOMATED STRUCTURAL DECODING: The engine acts as your automated analyst, identifying critical structural phenomena in real-time: Poor Highs/Lows: Weak auction points that signal a high probability of reversal. Single Prints & Ledges: Footprints of rapid, aggressive market moves and areas of strong institutional acceptance. Day Type Classification: The engine analyzes the session's personality as it develops ("Trend Day," "Normal Day," etc.), allowing you to adapt your strategy to the market's current character. MACRO & MICRO FUSION: Via the Composite Profile , the engine merges weeks of data to reveal the major institutional battlegrounds that govern long-term price action. You can see the daily skirmish and the multi-month war on a single chart. ORDER FLOW INTELLIGENCE: The ultimate advancement is the integrated Cumulative Volume Delta (CVD) engine. This moves beyond structure to analyze the raw aggression of buyers versus sellers. It is your window into the market's soul, automatically detecting critical Divergences that often precede major trend shifts. ADAPTIVE SIGNALING: The engine's signal generation is not static; it is a thinking system. It evaluates setups based on a multi-factor Confluence Score , understands the market Regime (e.g., High Volatility), and adjusts its own confidence ( Probability % ) based on the complete context. This is not a tool that gives you signals. This is a tool that gives you understanding . PART III: THE VISUAL KEY - A LEXICON OF MARKET STRUCTURE Every element on your chart is a piece of information. This is your guide to reading it fluently. --- THE CORE ARCHITECTURE --- The Profile Histogram: The primary visual on the left of each session. Its shape is the story. A thin profile is a trend; a fat, symmetrical profile is balance. Blue Box : The zone of accepted, "fair" value. The heart of the session's business. Bright Orange Line & Label : The Point of Control. The gravitational center. The price of maximum consensus. The most significant intraday level. Dashed Blue Lines & Labels : The boundaries of value. Critical inflection points where the market decides to either remain in balance or seek value elsewhere. Dashed Cyan Lines & Labels : The major, long-term structural levels derived from weeks of data. These are institutional reference points and carry immense weight. Treat them as primary support and resistance. Dashed Orange Lines & Labels : Marks a Poor or Unfinished Auction . These represent emotional, weak extremes and are high-probability targets for future price action. Diamond Markers : Mark Single Prints , which are footprints of aggressive, one-sided moves that left a "liquidity vacuum." Price is often drawn back to these levels to "repair" the poor structure. Arrow Markers : Mark Ledges , which are areas of strong horizontal acceptance. They often act as powerful support/resistance in the future. Dotted Gray Lines & Labels : The projected daily range based on multiples of the Initial Balance . Use them to set realistic profit targets and gauge the day's potential. --- THE SIGNAL SUITE --- Colored Triangles : These are your high-probability entry signals. The color is a strategic playbook: Gold Triangle : ELITE Signal. An A+ setup with overwhelming confluence. This is the highest quality signal the engine can produce. Yellow Triangle : FADE Signal. A counter-trend setup against an exhausted move at a structural extreme. Cyan Triangle : BREAKOUT Signal. A momentum setup attempting to capitalize on a breakout from the value area. Purple Triangle : ROTATION Signal. A mean-reversion setup within the value area, typically from one edge towards the POC. Magenta Triangle : LIQUIDITY Signal. A sophisticated setup that identifies a "stop run" or liquidity sweep. Percentage Number: The engine's calculated probability of success . This is not a guarantee, but a data-driven confidence score. Dotted Gray Line: The signal's Entry Price . Dashed Green Lines: The calculated Take Profit Targets . Dashed Red Line: The calculated Stop Loss level. PART IV: THE DASHBOARD - YOUR STRATEGIC COMMAND CENTER The dashboard is your real-time intelligence briefing. It synthesizes all the engine's analysis into a clear, concise, and constantly updating summary. --- CURRENT SESSION --- POC, VAH, VAL: The live values for the core structure. Profile Shape: Is the current auction top-heavy ( b-shaped ), bottom-heavy ( P-shaped ), or balanced ( D-shaped )? VA Width: Is the value area expanding (trending) or contracting (balancing)? Day Type: The engine's judgment on the day's personality. Use this to select the right strategy. IB Range & POC Trend: Key metrics for understanding the opening sentiment and its evolution. --- CVD ANALYSIS --- Session CVD: The raw order flow. Is there more net buying or selling pressure in this session? CVD Trend & DIVERGENCE: This is your order flow intelligence. Is the order flow confirming the price action? If "DIVERGENCE" flashes, it is a critical, high-alert warning of a potential reversal. --- MARKET METRICS --- Volume, ATR, RSI: Your standard contextual metrics, providing a quick read on activity, volatility, and momentum. Regime: The engine's assessment of the broad market environment: High Volatility (favor breakouts), Low Volatility (favor mean reversion), or Normal . --- PROFILE STATS, COMPOSITE, & STRUCTURE --- These sections give you a quick quantitative summary of the profile structure, the major long-term Composite levels, and any active Poor Structures. --- SIGNAL TYPES & ACTIVE SIGNAL --- A permanent key to the signal colors and their meanings, along with the full details of the most recent active signal: its Type , Probability , Entry , Stop , and Target . PART V: THE INPUTS MENU - CALIBRATING YOUR LENS This engine is designed to be calibrated to your specific needs as a trader. Every input is a lever. This is not a "one size fits all" tool. The extensive tooltips are your built-in user manual, but here are the key areas of focus: --- MARKET PROFILE ENGINE --- Profile Mode: This is the most fundamental choice. Volume is the standard for price-based support and resistance. TPO is for analyzing time-based acceptance. Hybrid is the professional's choice, fusing both for a complete picture. Profile Resolution: This is your zoom lens. Lower values for scalping and intraday precision. Higher values for a cleaner, big-picture view suitable for swing trading. Composite Sessions: Your timeframe for macro analysis. 5-10 sessions for a weekly view; 20-30 sessions for a monthly, structural view. --- SESSION & VALUE AREA --- These settings must be configured correctly for your specific asset. The Session times are critical. The Initial Balance should reflect the key opening period for your market (60 minutes is standard for equities). --- SIGNAL ENGINE & RISK MANAGEMENT --- Signal Mode: THIS IS YOUR PERSONAL RISK PROFILE. Set it to Conservative to see only the absolute best A+ setups. Use Elite or Balanced for a standard approach. Use Aggressive only if you are an experienced scalper comfortable with managing more frequent, lower-probability setups. ATR Multipliers: This suite gives you full, dynamic control over your risk/reward parameters. You can precisely define your initial stop loss distance and profit targets based on the market's current volatility. A FINAL WORD FROM THE ARCHITECT The creation of this engine was a journey into the very heart of market dynamics. It was born from a frustrating truth: that the most profound market theories were often confined to books and expensive institutional platforms, inaccessible to the modern retail trader. The goal was to bridge that gap. The challenge was monumental. Making each discrete system—the volume profile, the TPO counter, the composite engine, the CVD tracker, the signal generator, the dynamic dashboard—work was a task in itself. But the true struggle, the frustrating, painstaking process that consumed countless hours, was making them work in unison . It was about ensuring the CVD analysis could intelligently inform the signal engine, that the day type classification could adjust the probability scores, and that the composite levels could provide context to the intraday structure, all in a seamless, real-time dance of data. This engine is the result of that relentless pursuit of integration. It is built on the belief that a trader's greatest asset is not a signal, but clarity . It was designed to clear the noise, to organize the chaos, and to present the elegant, underlying logic of the market auction so that you can make better, more informed, and more confident decisions. It is now in your hands. Use it not as a crutch, but as a lens. See the market for what it truly is. "The market can remain irrational longer than you can remain solvent." - John Maynard Keynes DISCLAIMER This script is an advanced analytical tool provided for informational and educational purposes only. It is not financial advice. All trading involves substantial risk, and past performance is not indicative of future results. The signals, probabilities, and metrics generated by this indicator do not constitute a recommendation to buy or sell any financial instrument. You, the user, are solely responsible for all trading decisions, risk management, and outcomes. Use this tool to supplement your own analysis and trading strategy. PUBLISHING CATEGORIES Volume Profile Market Profile Order Flow
Pine Script® Indikator
von DskyzInvestments
32
KAP RSI 14 & 2 (fixe)What does this indicator do? It calculates two different RSIs: The classic RSI with a 14-period (RSI 14) — measures the strength of price moves over 14 bars. A faster RSI with a 2-period (RSI 2) — very sensitive, useful to spot short-term extreme conditions. It displays these two RSI values in a fixed table at the top right corner of the chart, so the dashboard stays visible even when you scroll or zoom. Each RSI value is colored: Red when the RSI is at extreme levels (RSI 14 above 75 or below 30, RSI 2 above 95 or below 5), signaling overbought or oversold conditions. Green when RSI is in a normal range. Why is it useful? It lets you quickly see the market’s condition with two RSI timeframes without searching the chart. You monitor both medium-term trend strength (RSI 14) and short-term extreme signals (RSI 2). The fixed dashboard makes it easy to keep an eye on these values at all times. Customization options You can choose which corner of the screen to place the dashboard (top-left, top-right, bottom-left, bottom-right). The background is semi-transparent so it doesn’t cover the chart details.
Pine Script® Indikator
von kapsha
1
Investor Tool - Z ScoreThe Investor Tool is intended as a tool for long term investors, indicating periods where prices are likely approaching cyclical tops or bottoms. The tool uses two simple moving averages of price as the basis for under/overvalued conditions: the 2-year MA (green) and a 5x multiple of the 2-year MA (red). Price trading below the 2-year MA has historically generated outsized returns, and signalled bear cycle lows. Price trading above the 2-year MA x5 has been historically signalled bull cycle tops and a zone where investors de-risk. Just like the Glassnode one, but here on TV and with StDev bands Now with Z-SCORE calculation: The Z-Score is calculated to be -3 Z at the bottom bands and 3 Z at the top bands mean = (upper_sma + bottom_sma) / 2 bands_range = upper_sma - bottom_sma stdDev = bands_range != 0 ? bands_range / 6 : 0 zScore = stdDev != 0 ? (close - mean) / stdDev : 0 Created for TRW
Pine Script® Indikator
von Commandoum
PipsHunters Trading ChecklistTitle: PipsHunters Trading Checklist (PHTC) Short Description / Teaser: Enforce trading discipline and never miss a step in your pre-trade analysis with this simple, interactive, on-chart checklist. Full Description: 🚀 Overview The PipsHunters Trading Checklist (PHTC) is a powerful yet simple tool designed to instill discipline and structure into your trading routine. In the heat of the moment, it's easy to forget crucial steps of your analysis, leading to impulsive and low-probability trades. This indicator acts as your personal co-pilot, providing a persistent, on-chart checklist that you must manually complete before taking a trade. This is not an automated signal generator. It is a utility to keep you accountable to your own trading plan. The checklist items are inspired by common concepts in price action and Smart Money Concepts (SMC) methodologies, but they serve any trader who follows a rule-based system. ✨ Key Features Interactive On-Chart Table: Displays a clean, non-intrusive table directly on your chart. Manual Check-off System: You are in full control. Go into the indicator settings and check off each item as you complete your analysis. Real-Time Progress Tracking: The table header shows your progress (e.g., 4/7) and changes color from red to green when all items are checked. Clear Visual Cues: Each item is marked with a ✅ or ❌, and the text color changes to provide an at-a-glance status. "Ready!" Status: A final "READY!" confirmation appears once your entire checklist is complete, giving you the green light to look for an entry based on your strategy. Fully Customizable Position: Place the table in any corner of your chart (Top Left, Top Right, Bottom Left, Bottom Right) to suit your layout. 📋 The Checklist Items Explained The default checklist guides you through a structured, top-down analysis process common in many trading strategies: Seat before 1H: A reminder to be settled and mentally prepared at your desk at least an hour before your target session begins. Avoids rushing and emotional decisions. Check News: Have you checked for high-impact news events that could introduce extreme volatility and invalidate your setup? Mark Day Open: The daily open is a key institutional level. Marking it helps establish the daily bias. Mark LQ Levels: Have you identified key Liquidity (LQ) levels? This includes previous day/week highs and lows, session highs/lows, and other obvious swing points. Wait for Kill Zone: A reminder to be patient and wait for price to trade into a specific, high-probability time window (e.g., London Kill Zone, New York Kill Zone). LQ sweep inside Kill Zone: The core of the setup. Has price swept a key liquidity level within your chosen Kill Zone? Lower TF Confirmations: After the liquidity sweep, have you waited for confirmation on a lower timeframe? This is often a Market Structure Shift (MSS) or Change of Character (CHoCH). 🛠️ How to Use Add the "PipsHunters Trading Checklist" indicator to your chart. Go to the indicator's Settings (click the gear icon ⚙️). As you perform each step of your pre-trade analysis, tick the corresponding checkbox in the Inputs tab. The on-chart table will update instantly to reflect your progress. Only when all 7 items are checked will the table signal "READY!". 🎯 Who Is This For? This indicator is perfect for: SMC / ICT Traders: The checklist items align directly with Smart Money Concepts. New Traders: Helps build the essential habit of a consistent pre-trade routine. Inconsistent Traders: Acts as a guardrail to prevent impulsive, undisciplined entries. Any Rule-Based Trader: Anyone who follows a trading plan can benefit from the structure it provides. Disclaimer: This is a utility tool to aid in discipline and execution. It does not provide financial advice or guarantee profitable trades. All trading involves risk, and you are solely responsible for your own decisions. Trade safe and stay disciplined!
Pine Script® Indikator
von ntytdr
TZtraderTZtrader This is a TrendZones version with features to set stoploss and targets in short and long positions meant for use in intraday charts. It aims to provide signals for opening and closing long and short positions. In the comments under the TrendZones publication several people expressed a need for features for a short position similar to those for a long position as implemented in TrendZones, some want to use it for scalping, some asked for alerts. When I proposed to create a version for day trading with target lines based on ATR, several people liked the idea. Full disclosure: I don’t do day trading, because, after I lost a lot of money, I had to promise my wife to stay away from it. I restrict myself to long term investing in stocks which are in uptrend. However I understand what a day trader needs. I gather from my experience that day trading or scalping is an attempt to earn something by opening a position in the morning and close, reopen and close it again during the day with a profit. It is usually done with leveraged instruments like CFD’s, futures, options, and what have you. Opening and closing positions is done within minutes, so the trader needs a quick and efficient way to set proper stoploss and target. TZtrader supports this by showing only three or four numbers on the price bar: The price of the instrument, The logical stop level (gray or green or maroon dots), and the target level (navy). All other numbers are suppressed to prevent mistakes. Also a clear feedback for current settings at the top-center of the pane and an alert feedback at bottom that flashes alerts during the development of the current bar and gives suppression status. The script First I made a bare bones version of TrendZones to which I added code for long and short trading setups and a bare setup for no position. The code for the logical stops in long setup had to be reviewed, after which this became the basis for stops in short setup. Then I added code for 10 alert messages, which was a hassle, because this is the first time I coded alerts and the first time I used an array as a stack to avoid a complicated if-then construction. During testing the array caused a runtime error which I solved by adding ‘array.clear’ to the code, also I discovered that in TradingView separate alerts have to be created for all three setups - short, long and bare. Flipping setups is done in the inputs with a dropdown menu because Pine Script has no function for a clickable button. One visual with three setups. The visual has the TrendZones structure: Three near parallel very smooth curves, which border the moderate uptrend (green) and downtrend (orange) zone over and under the curve in the middle, the COG (Center Of Gravity). Where the price breaks out of these curves, strong trend zones show up over and under the curves, respectively strong uptrend (blue) and strong downtrend (red). Three setups were made clearly different to avoid confusion and to provide oversight in case of multiple trades going on simultaneously which I imagine are monitored in one screen. You have to see which one is long, which short and which have no position. The long setup should not trigger short signals, nor should the short trigger long signals nor the bare setup exclusive long or short signals. The Long setup is default, shown on the example chart. In this setup the Stoploss suggestions (green, gray and maroon dots) are under the price bars and the target line (navy) at a set distance above the High Border. A zone with a width of 1 ATR is drawn under the Low Border. In this setup 5 specific alerts are provided The Short setup has the Stoploss suggestions over the price bars, the target line at a set distance under the Low Border. A zone with a width of 1 ATR is drawn above the High Border. This setup also has 5 specific alerts. The Bare setup has no Stoploss suggestions, no target line and supports 4 alerts, 2 in common with the Long setup and 2 with Short. The table below gives a summary of scripted alerts: Setup = Where = When = Purpose Long, Bare = Green Zone = Bars come from lower zones = Uptrend starts Long, Bare = Green Zone = Sideways ends in uptrend = Uptrend resumes Long = COG = First crossing = Uptrend might end warning Long = Orange Zone = Bars come from higher zones = Uptrend ended take care Long = Red Zone = Bars come from higher zones = Strong downtrend->close Long Short, Bare = Orange Zone = Bars come from higher zones = Downtrend starts Short, Bare = Orange Zone = Sideways ends in downtrend = Downtrend resumes Short = COG = First crossing = Downtrend might end warning Short = Green Zone = Bars come from lower zones = Downtrend ended take care Short = Blue Zone = Bars come from lower zones = Strong uptrend -> close short You can use script alerts in TradingView by clicking the clock in the sidebar, then ‘create alert’ or plus, as condition you choose ‘Tztrader’ in the dialog box, then the “Any alert() function call” option (the first item in the list). The script lets the valid alert trigger by TradingView after the bar is completed, this can differ from the flashed messages during its formation. When you create alerts in Tradingview, I advice to do that for each setup, then to make only the alert active which matches the current setup, pause the other ones. Suppressing false and annoying signals The script has two ways to suppress such signals, which have to do with the numbers in the alert feedback. The numbers left and right of the message with a colored background, depict the zones in which the previous (left) and current (right) bar move. 1 is the strong downtrend zone (red), 2 the moderate downtrend zone (orange), 3 the sideways zones (gray), 4 the COG (gray), 5 the moderate uptrend zone (green), 6 the strong uptrend zone (blue), 7 something went wrong with assigning a zone (black). In extensive testing the number 7 never occurs, because I catch that error in the code. The idea is that an alert is only triggered if the previous bar was in a different zone. When the bars are in the same zone, no alert is possible. This way all annoying signals are suppressed and long, short and bare get the appropriate alerts. The third number is a counter. It counts how often the COG is crossed without touching the outer curves. The counter will reset to zero when the upper or lower curve is touched. When the count is 1 you have zone situation 4 and appropriate alerts are flashed. When the count is 2 or higher, a sideways situation (3) is called and while the recrossings are going on, no alerts can be flashed. This suppresses false signals. The ATR zone and curves are brownish-gray where sideways happens(ed). When the channel is narrowed down to just the three curves, some false signals still might occur. Inputs “Setup”, default is long, drop down menu provides long, short and bare. “Target ATR”, default is 2, sets the amount of ATR for the target line. In 1 minute charts 4 seems an appropriate setting, you have to learn by experience which setting works. “show feedback …” default is on, This creates two feedback labels, a Setup feedback on top of the pane, which shows charted instrument, Setup type, Trend and timeframe of the chart. Background color of Trend feedback is green when it matches the setup, red when mismatches and gray when no match. The alert feedback at the bottom of the pane shows a number, a message and two numbers. The numbers will be explained in the chapter about false and annoying signals below. During formation of the bar, valid alerts are flashed with a blue background, otherwise the message ‘alerts for current bar suppressed’. Logical Stops The curves are the logical place to put stops, because, as these are averages of the high and low border of a Donchian channel, they signify the ‘natural’ current highest, lowest and main level in the lookback period that fit the monitored trend setup. A downtrend turns into an uptrend when a breakout of the upper curve occurs. If you are short, that is where you want to close position, so the logical place for the stoploss is the upper curve. Vice versa, when you are long, the logical stop is on the lower curve. The stops show up as green or gray dots on the curves, the green dots signify a nice entry level, the gray stops are there to suggest levels where unrealized profits might be secured, the maroon dots indicate that the trend mismatches the setup. COG versus other lines Any line used to identify a trend, be it some MA or some other line, is interpreted the same way: When the bars move above the line there is an uptrend and when below, a downtrend. COG is not different in that sense. If you put such a line in the same chart as TZtrader, you can see situations in which the other line shows uptrend or downtrend earlier than COG, also some other lines, e.g. Hull MA, are very good at showing tops and bottoms, while COG ignores these. On the other hand the other lines are usually a little nervous and let you shake out of position too soon. Just like the other lines, COG gives false signals when it is near horizontal. The advantage of the placement COG is the tolerance for pull backs. This way TZtrader keeps you longer in the trend. Such pull backs are often ‘flags’ which are interpreted in TA as confirming the trend. Tztrader aims to get you in position reasonably soon when a trend begins and out of position as soon as the trend turns against you. The placement of COG is done with a fundamentally different algorithm than other lines as it is not an average of prices, but the middle of two averages of borders of a Donchian channel. This gives the two zones between the curves the same quality as the two zones above and below the middle line of a standard Donchian Channel. A multi timeframe application. In this scenario you put a 5 minutes and 1 minute chart with Tztrader side by side. If the 5 minutes shows uptrend, set the 1 minute on long trading and open positions when the trend matches uptrend en close when it mismatches. Don’t open short positions. Once the 5 minute changes to downtrend, set Tztrader in the 1 minute to short trading and open positions when the trend matches downtrend and close when it mismatches. The idea is that in a long ‘context’, provided by the 5 minutes, the uptrends in the 1 minute will last longer and go further, vice versa for the short ‘context’. This way you do swing trading in the 5 minute in a smart way, maximizing profits. You can do this with any timeframe pairs with a proportion of around 5:1, 4:1, 6:1, like e.g. 60 minutes and 15 minutes or weeks and days (5 trading days in a week). Dear day-traders, may this tool be helpful and may your days be blessed. Take care
Pine Script® Indikator
von eykpunter
2
ATR Plots + OverlayATR Plots + Overlay This tool calculates and displays Average True Range (ATR)-based levels on your chart for any selected timeframe, giving traders a quick visual reference for expected price movement relative to the most recent bar’s open price. It plots guide levels above and below that open and shows how much of the typical ATR-based range has already been covered—all in one interactive table and on-chart overlay. What It Does ATR Calculation: Uses true range data over a user-defined period (default 14), smoothed via RMA, SMA, EMA, or WMA, on the selected timeframe (e.g., 1h, 4h, daily) to calculate the ATR value. Projected Levels: Plots four reference levels relative to the open price of the most recent bar on the chosen timeframe: +100% ATR: Open + ATR +50% ATR: Open + 50% of ATR −50% ATR: Open − 50% of ATR −100% ATR: Open − ATR Coverage %: Tracks high and low prices for the current session on the selected timeframe and calculates what percentage of the ATR has already been covered: Coverage % = (High − Low) ÷ ATR × 100 Interactive Table: Shows the ATR value and current coverage percentage in a customizable table overlay. Position, color scheme, borders, transparency, and an optional empty top row are all adjustable via settings. Customization Options Table Settings: Position the table (top/bottom × left/right). Customize background color, text color, border color, and thickness. Optionally add an empty top row for spacing. Line Settings: Choose color, line style (solid/dotted/dashed), and width. Lines automatically update with each new bar on the selected timeframe, anchored to that bar’s open price. General Inputs: ATR length (number of bars). Smoothing method (RMA, SMA, EMA, WMA). Timeframe selection for ATR calculations (e.g., 15m, 1h, Daily). How to Use It for Trading Measure Volatility: Quickly gauge the expected price movement based on ATR for any timeframe. Identify Overextension: Use the coverage % to see how much of the expected ATR range is already consumed. Plan Entries & Exits: Align trade targets and stops with ATR levels for more objective planning. Visual Reference: Horizontal guide lines and table update automatically as new bars form, keeping information clear and actionable. Ideal For Intraday traders using ATR levels to frame trades. Swing traders wanting ATR-based reference points for larger timeframes. Anyone seeking a volatility-based framework for planning stops, targets, or identifying overextended conditions.
Pine Script® Indikator
von abbadon9
AI's Opinion Trading System V21. Complete Summary of the Indicator Script AI’s Opinion Trading System V2 is an advanced, multi-factor trading tool designed for the TradingView platform. It combines several technical indicators (moving averages, RSI, MACD, ADX, ATR, and volume analysis) to generate buy, sell, and hold signals. The script features a customizable AI “consensus” engine that weighs multiple indicator signals, applies user-defined filters, and outputs actionable trade instructions with clear stop loss and take profit levels. The indicator also tracks sentiment, volume delta, and allows for advanced features like pyramiding (adding to positions), custom stop loss/take profit prices, and flexible signal confirmation logic. All key data and signals are displayed in a dynamic, color-coded table on the chart for easy review. 2. Full Explanation of the Table The table is a real-time dashboard summarizing the indicator’s logic and recommendations for the most recent bars. It is color-coded for clarity and designed to help traders quickly understand market conditions and AI-driven trade signals. Columns (from left to right): Column Name What it Shows Bar The time context: “Now” for the current bar, then “Bar -1”, “Bar -2”, etc. for previous bars. Raw Consensus The raw AI consensus for each bar: “Buy”, “Sell”, or “-” (neutral). Up Vol The amount of volume on up (rising) bars. Down Vol The amount of volume on down (falling) bars. Delta The difference between up and down volume. Green if positive, red if negative, gray if neutral. Close The closing price for each bar, color-coded by price change. Sentiment Diff The difference between the close and average sentiment price (a custom sentiment calculation). Lookback The number of bars used for sentiment calculation (if enabled). ADX The ADX value (trend strength). ATR The ATR value (volatility measure). Vol>Avg “Yes” (green) if volume is above average, “No” (red) otherwise. Confirm Whether the AI signal is confirmed over the required bars. Logic Output The AI’s interpreted signal after applying user-selected logic: “Buy”, “Sell”, or “-”. Final Action The final signal after all filters: “Buy”, “Sell”, or “-”. Trade Instruction A plain-English instruction: Buy/Sell/Add/Hold/No Action, with price, stop loss, and take profit. Color Coding: Green: Positive/bullish values or signals Red: Negative/bearish values or signals Gray: Neutral or inactive Blue background: For all table cells, for visual clarity White text: Default, except for color-coded cells 3. Full User Instructions for Every Input/Style Option Below are plain-language instructions for every user-adjustable option in the indicator’s input and style pages: Inputs Table Location What it does: Sets where the summary table appears on your chart. How to use: Choose from 9 positions (Top Left, Top Center, Top Right, etc.) to avoid overlapping with other chart elements. Decimal Places What it does: Controls how many decimal places prices and values are displayed with. How to use: Increase for assets with very small prices (e.g., SHIB), decrease for stocks or forex. Show Sentiment Lookback? What it does: Shows or hides the “Lookback” column in the table, which displays how many bars are used in the sentiment calculation. How to use: Turn off if you want a simpler table. AI View Mode What it does: Selects the logic for how the AI combines signals from different indicators. Majority: Follows the most common signal among all indicators. Weighted: Uses custom weights for each type of signal. Custom: Lets you define your own logic (see below). How to use: Pick the logic style that matches your trading philosophy. AI Consensus Weight / Vol Delta Weight / Sentiment Weight What they do: When using “Weighted” AI View Mode, these let you set how much influence each factor (indicator consensus, volume delta, sentiment) has on the final signal. How to use: Increase a weight to make that factor more important in the AI’s decision. Custom AI View Logic What it does: Lets advanced users write their own logic for when the AI should signal a trade (e.g., “ai==1 and delta>0 and sentiment>0”). How to use: Only use if you understand basic boolean logic. Use Custom Stop Loss/Take Profit Prices? What it does: If enabled, you can enter your own fixed stop loss and take profit prices for buys and sells. How to use: Turn on to override the auto-calculated SL/TP and enter your desired prices below. Custom Buy/Sell Stop Loss/Take Profit Price What they do: If custom SL/TP is enabled, these fields let you set exact prices for stop loss and take profit on both buy and sell trades. How to use: Enter your preferred price, or leave at 0 for auto-calculation. Sentiment Lookback What it does: Sets how many bars the sentiment calculation should look back. How to use: Increase to smooth out sentiment, decrease for faster reaction. Max Pyramid Adds What it does: Limits how many times you can add to an existing position (pyramiding). How to use: Set to 1 for no adds, higher for more aggressive scaling in trends. Signal Preset What it does: Quick-sets a group of signal parameters (see below) for “Robust”, “Standard”, “Freedom”, or “Custom”. How to use: Pick a preset, or select “Custom” to adjust everything manually. Min Bars for Signal Confirmation What it does: Sets how many bars a signal must persist before it’s considered valid. How to use: Increase for more robust, less frequent signals; decrease for faster, but possibly less reliable, signals. ADX Length What it does: Sets the period for the ADX (trend strength) calculation. How to use: Longer = smoother, shorter = more sensitive. ADX Trend Threshold What it does: Sets the minimum ADX value to consider a trend “strong.” How to use: Raise for stricter trend confirmation, lower for more trades. ATR Length What it does: Sets the period for the ATR (volatility) calculation. How to use: Longer = smoother volatility, shorter = more reactive. Volume Confirmation Lookback What it does: Sets how many bars are used to calculate the average volume. How to use: Longer = more stable volume baseline, shorter = more sensitive. Volume Confirmation Multiplier What it does: Sets how much current volume must exceed average volume to be considered “high.” How to use: Increase for stricter volume filter. RSI Flat Min / RSI Flat Max What they do: Define the RSI range considered “flat” (i.e., not trending). How to use: Widen to be stricter about requiring a trend, narrow for more trades. Style Page Most style settings (such as plot colors, label sizes, and shapes) are preset in the script for visual clarity. You can adjust plot visibility and colors (for signals, stop loss, take profit) in the TradingView “Style” tab as with any indicator. Buy Signal: Shows as a green triangle below the bar when a buy is triggered. Sell Signal: Shows as a red triangle above the bar when a sell is triggered. Stop Loss/Take Profit Lines: Red and green lines for SL/TP, visible when a trade is active. SL/TP Labels: Small colored markers at the SL/TP levels for each trade. How to use: Toggle visibility or change colors in the Style tab if you wish to match your chart theme or preferences. In Summary This indicator is highly customizable—you can tune every aspect of the AI logic, risk management, signal filtering, and table display to suit your trading style. The table gives you a real-time, comprehensive view of all relevant signals, filters, and trade instructions. All inputs are designed to be intuitive—hover over them in TradingView for tooltips, or refer to the explanations above for details.
Pine Script® Indikator
von ChalkBoardAnalytics
ADR Plots + OverlayADR Plots + Overlay This tool calculates and displays Average Daily Range (ADR) levels on your chart, giving traders a quick visual reference for expected daily price movement. It plots guide levels above and below the daily open and shows how much of the day's typical range has already been covered—all in one interactive table and on-chart overlay. What It Does ADR Calculation: Uses daily high-low differences over a user-defined period (default 14 days), smoothed via RMA, SMA, EMA, or WMA to calculate the average daily range. Projected Levels: Plots four reference levels relative to the current day's open price: +100% ADR: Open + ADR +50% ADR: Open + 50% of ADR −50% ADR: Open − 50% of ADR −100% ADR: Open − ADR Coverage %: Tracks intraday high and low prices to calculate what percentage of the ADR has already been covered for the current session: Coverage % = (High − Low) ÷ ADR × 100 Interactive Table: Shows the ADR value and today's ADR coverage percentage in a customizable table overlay. The table position, colors, border, transparency, and an optional empty top row can all be adjusted via settings. Customization Options Table Settings: Position the table (top/bottom × left/right). Change background color, text color, border color and thickness. Toggle an empty top row for spacing. Line Settings: Choose color, line style (solid/dotted/dashed), and width. Lines automatically reposition each day based on that day's open price and ADR calculation. General Inputs: ADR length (number of days). Smoothing method (RMA, SMA, EMA, WMA). How to Use It for Trading Measure Daily Movement: Instantly know the expected daily price range based on historical volatility. Identify Overextension: Use the coverage % to see if the market has already moved close to or beyond its typical daily range. Plan Entries & Exits: Align trade targets and stops with ADR levels for more objective intraday planning. Visual Reference: Horizontal guide lines and table update automatically as new data comes in, helping traders stay informed without manual calculations. Ideal For Intraday traders tracking daily volatility limits. Swing traders wanting a quick reference for expected price movement per day. Anyone seeking a volatility-based framework for planning targets, stops, or identifying extended market conditions.
Pine Script® Indikator
von abbadon9
MERV: Market Entropy & Rhythm Visualizer [BullByte]The MERV (Market Entropy & Rhythm Visualizer) indicator analyzes market conditions by measuring entropy (randomness vs. trend), tradeability (volatility/momentum), and cyclical rhythm. It provides traders with an easy-to-read dashboard and oscillator to understand when markets are structured or choppy, and when trading conditions are optimal. Purpose of the Indicator MERV’s goal is to help traders identify different market regimes. It quantifies how structured or random recent price action is (entropy), how strong and volatile the movement is (tradeability), and whether a repeating cycle exists. By visualizing these together, MERV highlights trending vs. choppy environments and flags when conditions are favorable for entering trades. For example, a low entropy value means prices are following a clear trend line, whereas high entropy indicates a lot of noise or sideways action. The indicator’s combination of measures is original: it fuses statistical trend-fit (entropy), volatility trends (ATR and slope), and cycle analysis to give a comprehensive view of market behavior. Why a Trader Should Use It Traders often need to know when a market trend is reliable vs. when it is just noise. MERV helps in several ways: it shows when the market has a strong direction (low entropy, high tradeability) and when it’s ranging (high entropy). This can prevent entering trend-following strategies during choppy periods, or help catch breakouts early. The “Optimal Regime” marker (a star) highlights moments when entropy is very low and tradeability is very high, typically the best conditions for trend trades. By using MERV, a trader gains an empirical “go/no-go” signal based on price history, rather than guessing from price alone. It’s also adaptable: you can apply it to stocks, forex, crypto, etc., on any timeframe. For example, during a bullish phase of a stock, MERV will turn green (Trending Mode) and often show a star, signaling good follow-through. If the market later grinds sideways, MERV will shift to magenta (Choppy Mode), warning you that trend-following is now risky. Why These Components Were Chosen Market Entropy (via R²) : This measures how well recent prices fit a straight line. We compute a linear regression on the last len_entropy bars and calculate R². Entropy = 1 - R², so entropy is low when prices follow a trend (R² near 1) and high when price action is erratic (R² near 0). This single number captures trend strength vs noise. Tradeability (ATR + Slope) : We combine two familiar measures: the Average True Range (ATR) (normalized by price) and the absolute slope of the regression line (scaled by ATR). Together they reflect how active and directional the market is. A high ATR or strong slope means big moves, making a trend more “tradeable.” We take a simple average of the normalized ATR and slope to get tradeability_raw. Then we convert it to a percentile rank over the lookback window so it’s stable between 0 and 1. Percentile Ranks : To make entropy and tradeability values easy to interpret, we convert each to a 0–100 rank based on the past len_entropy periods. This turns raw metrics into a consistent scale. (For example, an entropy rank of 90 means current entropy is higher than 90% of recent values.) We then divide by 100 to plot them on a 0–1 scale. Market Mode (Regime) : Based on those ranks, MERV classifies the market: Trending (Green) : Low entropy rank (<40%) and high tradeability rank (>60%). This means the market is structurally trending with high activity. Choppy (Magenta) : High entropy rank (>60%) and low tradeability rank (<40%). This is a mostly random, low-momentum market. Neutral (Cyan) : All other cases. This covers mixed regimes not strongly trending or choppy. The mode is shown as a colored bar at the bottom: green for trending, magenta for choppy, cyan for neutral. Optimal Regime Signal : Separately, we mark an “optimal” condition when entropy_norm < 0.3 and tradeability > 0.7 (both normalized 0–1). When this is true, a ★ star appears on the bottom line. This star is colored white when truly optimal, gold when only tradeability is high (but entropy not quite low enough), and black when neither condition holds. This gives a quick visual cue for very favorable conditions. What Makes MERV Stand Out Holistic View : Unlike a single-oscillator, MERV combines trend, volatility, and cycle analysis in one tool. This multi-faceted approach is unique. Visual Dashboard : The fixed on-chart dashboard (shown at your chosen corner) summarizes all metrics in bar/gauge form. Even a non-technical user can glance at it: more “█” blocks = a higher value, colors match the plots. This is more intuitive than raw numbers. Adaptive Thresholds : Using percentile ranks means MERV auto-adjusts to each market’s character, rather than requiring fixed thresholds. Cycle Insight : The rhythm plot adds information rarely found in indicators – it shows if there’s a repeating cycle (and its period in bars) and how strong it is. This can hint at natural bounce or reversal intervals. Modern Look : The neon color scheme and glow effects make the lines easy to distinguish (blue/pink for entropy, green/orange for tradeability, etc.) and the filled area between them highlights when one dominates the other. Recommended Timeframes MERV can be applied to any timeframe, but it will be more reliable on higher timeframes. The default len_entropy = 50 and len_rhythm = 30 mean we use 30–50 bars of history, so on a daily chart that’s ~2–3 months of data; on a 1-hour chart it’s about 2–3 days. In practice: Swing/Position traders might prefer Daily or 4H charts, where the calculations smooth out small noise. Entropy and cycles are more meaningful on longer trends. Day trader s could use 15m or 1H charts if they adjust the inputs (e.g. shorter windows). This provides more sensitivity to intraday cycles. Scalpers might find MERV too “slow” unless input lengths are set very low. In summary, the indicator works anywhere, but the defaults are tuned for capturing medium-term trends. Users can adjust len_entropy and len_rhythm to match their chart’s volatility. The dashboard position can also be moved (top-left, bottom-right, etc.) so it doesn’t cover important chart areas. How the Scoring/Logic Works (Step-by-Step) Compute Entropy : A linear regression line is fit to the last len_entropy closes. We compute R² (goodness of fit). Entropy = 1 – R². So a strong straight-line trend gives low entropy; a flat/noisy set of points gives high entropy. Compute Tradeability : We get ATR over len_entropy bars, normalize it by price (so it’s a fraction of price). We also calculate the regression slope (difference between the predicted close and last close). We scale |slope| by ATR to get a dimensionless measure. We average these (ATR% and slope%) to get tradeability_raw. This represents how big and directional price moves are. Convert to Percentiles : Each new entropy and tradeability value is inserted into a rolling array of the last 50 values. We then compute the percentile rank of the current value in that array (0–100%) using a simple loop. This tells us where the current bar stands relative to history. We then divide by 100 to plot on . Determine Modes and Signal : Based on these normalized metrics: if entropy < 0.4 and tradeability > 0.6 (40% and 60% thresholds), we set mode = Trending (1). If entropy > 0.6 and tradeability < 0.4, mode = Choppy (-1). Otherwise mode = Neutral (0). Separately, if entropy_norm < 0.3 and tradeability > 0.7, we set an optimal flag. These conditions trigger the colored mode bars and the star line. Rhythm Detection : Every bar, if we have enough data, we take the last len_rhythm closes and compute the mean and standard deviation. Then for lags from 5 up to len_rhythm, we calculate a normalized autocorrelation coefficient. We track the lag that gives the maximum correlation (best match). This “best lag” divided by len_rhythm is plotted (a value between 0 and 1). Its color changes with the correlation strength. We also smooth the best correlation value over 5 bars to plot as “Cycle Strength” (also 0 to 1). This shows if there is a consistent cycle length in recent price action. Heatmap (Optional) : The background color behind the oscillator panel can change with entropy. If “Neon Rainbow” style is on, low entropy is blue and high entropy is pink (via a custom color function), otherwise a classic green-to-red gradient can be used. This visually reinforces the entropy value. Volume Regime (Dashboard Only) : We compute vol_norm = volume / sma(volume, len_entropy). If this is above 1.5, it’s considered high volume (neon orange); below 0.7 is low (blue); otherwise normal (green). The dashboard shows this as a bar gauge and percentage. This is for context only. Oscillator Plot – How to Read It The main panel (oscillator) has multiple colored lines on a 0–1 vertical scale, with horizontal markers at 0.2 (Low), 0.5 (Mid), and 0.8 (High). Here’s each element: Entropy Line (Blue→Pink) : This line (and its glow) shows normalized entropy (0 = very low, 1 = very high). It is blue/green when entropy is low (strong trend) and pink/purple when entropy is high (choppy). A value near 0.0 (below 0.2 line) indicates a very well-defined trend. A value near 1.0 (above 0.8 line) means the market is very random. Watch for it dipping near 0: that suggests a strong trend has formed. Tradeability Line (Green→Yellow) : This represents normalized tradeability. It is colored bright green when tradeability is low, transitioning to yellow as tradeability increases. Higher values (approaching 1) mean big moves and strong slopes. Typically in a market rally or crash, this line will rise. A crossing above ~0.7 often coincides with good trend strength. Filled Area (Orange Shade) : The orange-ish fill between the entropy and tradeability lines highlights when one dominates the other. If the area is large, the two metrics diverge; if small, they are similar. This is mostly aesthetic but can catch the eye when the lines cross over or remain close. Rhythm (Cycle) Line : This is plotted as (best_lag / len_rhythm). It indicates the relative period of the strongest cycle. For example, a value of 0.5 means the strongest cycle was about half the window length. The line’s color (green, orange, or pink) reflects how strong that cycle is (green = strong). If no clear cycle is found, this line may be flat or near zero. Cycle Strength Line : Plotted on the same scale, this shows the autocorrelation strength (0–1). A high value (e.g. above 0.7, shown in green) means the cycle is very pronounced. Low values (pink) mean any cycle is weak and unreliable. Mode Bars (Bottom) : Below the main oscillator, thick colored bars appear: a green bar means Trending Mode, magenta means Choppy Mode, and cyan means Neutral. These bars all have a fixed height (–0.1) and make it very easy to see the current regime. Optimal Regime Line (Bottom) : Just below the mode bars is a thick horizontal line at –0.18. Its color indicates regime quality: White (★) means “Optimal Regime” (very low entropy and high tradeability). Gold (★) means not quite optimal (high tradeability but entropy not low enough). Black means neither condition. This star line quickly tells you when conditions are ideal (white star) or simply good (gold star). Horizontal Guides : The dotted lines at 0.2 (Low), 0.5 (Mid), and 0.8 (High) serve as reference lines. For example, an entropy or tradeability reading above 0.8 is “High,” and below 0.2 is “Low,” as labeled on the chart. These help you gauge values at a glance. Dashboard (Fixed Corner Panel) MERV also includes a compact table (dashboard) that can be positioned in any corner. It summarizes key values each bar. Here is how to read its rows: Entropy : Shows a bar of blocks (█ and ░). More █ blocks = higher entropy. It also gives a percentage (rounded). A full bar (10 blocks) with a high % means very chaotic market. The text is colored similarly (blue-green for low, pink for high). Rhythm : Shows the best cycle period in bars (e.g. “15 bars”). If no calculation yet, it shows “n/a.” The text color matches the rhythm line. Cycle Strength : Gives the cycle correlation as a percentage (smoothed, as shown on chart). Higher % (green) means a strong cycle. Tradeability : Displays a 10-block gauge for tradeability. More blocks = more tradeable market. It also shows “gauge” text colored green→yellow accordingly. Market Mode : Simply shows “Trending”, “Choppy”, or “Neutral” (cyan text) to match the mode bar color. Volume Regime : Similar to tradeability, shows blocks for current volume vs. average. Above-average volume gives orange blocks, below-average gives blue blocks. A % value indicates current volume relative to average. This row helps see if volume is abnormally high or low. Optimal Status (Large Row) : In bold, either “★ Optimal Regime” (white text) if the star condition is met, “★ High Tradeability” (gold text) if tradeability alone is high, or “— Not Optimal” (gray text) otherwise. This large row catches your eye when conditions are ripe. In short, the dashboard turns the numeric state into an easy read: filled bars, colors, and text let you see current conditions without reading the plot. For instance, five blue blocks under Entropy and “25%” tells you entropy is low (good), and a row showing “Trending” in green confirms a trend state. Real-Life Example Example : Consider a daily chart of a trending stock (e.g. “AAPL, 1D”). During a strong uptrend, recent prices fit a clear upward line, so Entropy would be low (blue line near bottom, perhaps below the 0.2 line). Volatility and slope are high, so Tradeability is high (green-yellow line near top). In the dashboard, Entropy might show only 1–2 blocks (e.g. 10%) and Tradeability nearly full (e.g. 90%). The Market Mode bar turns green (Trending), and you might see a white ★ on the optimal line if conditions are very good. The Volume row might light orange if volume is above average during the rally. In contrast, imagine the same stock later in a tight range: Entropy will rise (pink line up, more blocks in dashboard), Tradeability falls (fewer blocks), and the Mode bar turns magenta (Choppy). No star appears in that case. Consolidated Use Case : Suppose on XYZ stock the dashboard reads “Entropy: █░░░░░░░░ 20%”, “Tradeability: ██████████ 80%”, Mode = Trending (green), and “★ Optimal Regime.” This tells the trader that the market is in a strong, low-noise trend, and it might be a good time to follow the trend (with appropriate risk controls). If instead it reads “Entropy: ████████░░ 80%”, “Tradeability: ███▒▒▒▒▒▒ 30%”, Mode = Choppy (magenta), the trader knows the market is random and low-momentum—likely best to sit out until conditions improve. Example: How It Looks in Action Screenshot 1: Trending Market with High Tradeability (SOLUSD, 30m) What it means: The market is in a clear, strong trend with excellent conditions for trading. Both trend-following and active strategies are favored, supported by high tradeability and strong volume. Screenshot 2: Optimal Regime, Strong Trend (ETHUSD, 1h) What it means: This is an ideal environment for trend trading. The market is highly organized, tradeability is excellent, and volume supports the move. This is when the indicator signals the highest probability for success. Screenshot 3: Choppy Market with High Volume (BTC Perpetual, 5m) What it means: The market is highly random and choppy, despite a surge in volume. This is a high-risk, low-reward environment, avoid trend strategies, and be cautious even with mean-reversion or scalping. Settings and Inputs The script is fully open-source; here are key inputs the user can adjust: Entropy Window (len_entropy) : Number of bars used for entropy and tradeability (default 50). Larger = smoother, more lag; smaller = more sensitivity. Rhythm Window (len_rhythm ): Bars used for cycle detection (default 30). This limits the longest cycle we detect. Dashboard Position : Choose any corner (Top Right default) so it doesn’t cover chart action. Show Heatmap : Toggles the entropy background coloring on/off. Heatmap Style : “Neon Rainbow” (colorful) or “Classic” (green→red). Show Mode Bar : Turn the bottom mode bar on/off. Show Dashboard : Turn the fixed table panel on/off. Each setting has a tooltip explaining its effect. In the description we will mention typical settings (e.g. default window sizes) and that the user can move the dashboard corner as desired. Oscillator Interpretation (Recap) Lines : Blue/Pink = Entropy (low=trend, high=chop); Green/Yellow = Tradeability (low=quiet, high=volatile). Fill : Orange tinted area between them (for visual emphasis). Bars : Green=Trending, Magenta=Choppy, Cyan=Neutral (at bottom). Star Line : White star = ideal conditions, Gold = good but not ideal. Horizontal Guides : 0.2 and 0.8 lines mark low/high thresholds for each metric. Using the chart, a coder or trader can see exactly what each output represents and make decisions accordingly. Disclaimer This indicator is provided as-is for educational and analytical purposes only. It does not guarantee any particular trading outcome. Past market patterns may not repeat in the future. Users should apply their own judgment and risk management; do not rely solely on this tool for trading decisions. Remember, TradingView scripts are tools for market analysis, not personalized financial advice. We encourage users to test and combine MERV with other analysis and to trade responsibly. -BullByte
Pine Script® Indikator
von BullByte
6
Pi Cycle | AlchimistOfCryptoPi Cycle Top Indicator - A Powerful Market Phase Detector Developed by AlchimistOfCrypto 🧪 The Pi Cycle uses mathematical harmony to identify Bitcoin market cycle tops with remarkable precision. Just as elements react at specific temperatures, Bitcoin price behaves predictably when these two moving averages converge! 🧬 ⚗️ The formula measures when the 111-day SMA crosses below the 350-day SMA × 2, creating a perfect alchemical reaction that has successfully identified the major cycle tops in 2013, 2017, and 2021. 🔬 Like the Golden Ratio in nature, this indicator reveals the hidden mathematical structure within Bitcoin's chaotic price movements. 🧮 When the reaction occurs, prepare for molecular breakdown! 🔥
Pine Script® Indikator
von AlchimistOfCrypto
3
Zone Shift [ChartPrime]⯁ OVERVIEW Zone Shift is a dynamic trend detection tool that uses EMA/HMA-based bands to determine trend shifts and plot key reaction levels. It highlights trend direction through colored candles and marks important retests with visual cues to help traders stay aligned with momentum. ⯁ KEY FEATURES Dynamic EMA-HMA Band: Creates a three-line channel using the average of an EMA and HMA for the midline, and expands it using average candle range to form upper and lower bounds. This band visually adapts to market volatility. float ema = ta.ema(close, length) float hma = ta.hma(close, length-40) float dist = ta.sma(high-low, 200) float mid = math.avg(ema, hma) float top = mid + dist float bot = mid - dist Trend Detection (Band Cross Logic): Detects an uptrend when the Low crosses above the top band. Detects a downtrend when the High crosses below the bottom band. Bars change color to lime for uptrends and blue for downtrends. Trend Initiation Level: At the start of a new trend, the indicator locks in the extreme point (low for uptrend, high for downtrend) and plots a dashed horizontal level, serving as a potential retest zone. Trend Retest Signal: If price crosses back over the Trend Initiation level in the direction of the trend, a diamond label (⯁) is plotted at the retest point — confirming that price is revisiting a key shift level. Visual Band Layout: Midline: Dashed line shows the average of EMA and HMA. Top/Bottom: Solid lines showing dynamic thresholds above/below the midline. These help visualize compression, expansion, and possible breakout zones. Color-Based Candle Plotting: Candles are recolored in real time according to the current trend, allowing instant visual alignment with the market’s directional bias. Noise-Filtered Retests: To avoid repetitive signals, retests are only marked if they occur more than 5 bars after the previous one — filtering out minor fluctuations. ⯁ USAGE Use colored candles to align trades with the dominant trend. Treat dashed trendStart levels as important support/resistance zones. Watch for ⯁ diamond labels as confirmation of retests for continuation or entry. Use band boundaries to assess trend strength and volatility expansion. Combine with your existing setups to validate momentum and zone shifts. ⯁ CONCLUSION Zone Shift helps traders visually capture trend changes and key reaction points with precision. By combining band breakouts with real-time retest signals and trend-colored candles, this tool simplifies the process of reading market structure shifts and identifying high-confluence entry areas.
Pine Script® Indikator
von ChartPrime
14
Trigonometric Sine Cosine WavesTrigonometric Sine Cosine Waves - Advanced Cyclical Analysis Overview This innovative indicator applies trigonometric mathematics to market analysis, generating dynamic sine and cosine waves that adapt to price movement and volatility. Unlike traditional oscillators, this tool visualizes market cycles directly on your chart using mathematical wave functions. How It Works The indicator calculates phase-based waves using: • Phase Calculation: 2π × bar_index / cycle_length • Adaptive Amplitude: EMA-based price + ATR volatility scaling • Sine Wave: avgPrice + volatility × sin(phase) • Cosine Wave: avgPrice + volatility × cos(phase) Key Features Dynamic Wave Generation • Sine Wave: Primary cycle indicator with smooth transitions • Cosine Wave: Leading indicator (90° phase difference from sine) • Adaptive Amplitude: Automatically adjusts to market volatility using ATR Turning Point Detection • Anti-Repaint Signals: Uses confirmed values from previous bars • Sine Bottom: Potential buy zones when wave transitions from down to up • Sine Top: Potential sell zones when wave transitions from up to down Advanced Analytics • Price Correlation Angle: Shows relationship between price movement and cycle • Phase Information: Current position in the mathematical cycle • Real-time Values: Live sine/cosine values and phase degrees Visual Enhancement • Background Coloring: Changes based on sine wave position (above/below zero) • Clean Overlay: Waves plot directly on price chart without cluttering Parameters • Cycle Length (5-200): Controls wave frequency - shorter = more sensitive • Amplitude Multiplier (0.1-5.0): Adjusts wave height relative to volatility • Display Options : Toggle sine wave, cosine wave, and correlation table • Show Correlation : Optional table showing mathematical values Trading Applications Cycle Analysis • Identify market rhythm and timing • Spot potential reversal zones • Understand price-to-cycle relationships Entry/Exit Timing • Buy Signals: Sine wave bottoms (cycle lows) • Sell Signals: Sine wave tops (cycle highs) • Confirmation: Use with other indicators for higher probability setups Market Structure • Visualize underlying market cycles • Identify periods of high/low cyclical activity • Track phase relationships between price and mathematical cycles Pro Tips 1. Longer cycles (50-100) work better for swing trading 2. Shorter cycles (10-20) suitable for scalping 3. Combine with volume for stronger signal confirmation 4. Monitor correlation angle for trend strength assessment 5. Use background color as quick visual cycle reference Important Notes • Signals are anti-repaint using confirmed previous bar values • Best used in trending or cyclical markets • Consider market context when interpreting signals • Mathematical approach - not based on traditional TA concepts Alerts Included • Sine Wave Buy Signal: Triggered on wave bottom detection • Sine Wave Sell Signal: Triggered on wave top detection Technical Requirements • Pine Script v6 • Works on all timeframes • No external dependencies • Optimized for performance This is a free, open-source indicator. Feel free to modify and improve according to your trading needs! Educational Value: Perfect for understanding how mathematical functions can be applied to market analysis and cycle detection.
Pine Script® Indikator
von agatarigan
1
The Visualized Trader (Fractal Timeframe)The **The Visualized Trader (Fractal Timeframe)** indicator for TradingView is a tool designed to help traders identify strong bullish or bearish trends by analyzing multiple technical indicators across two timeframes: the current chart timeframe and a user-selected higher timeframe. It visually displays trend alignment through arrows on the chart and a condition table in the top-right corner, making it easy to see when conditions align for potential trade opportunities. ### Key Features 1. **Multi-Indicator Analysis**: Combines five technical conditions to confirm trend direction: - **Trend**: Based on the slope of the 50-period Simple Moving Average (SMA). Upward slope indicates bullish, downward indicates bearish. - **Stochastic (Stoch)**: Uses Stochastic Oscillator (5, 3, 2) to measure momentum. Rising values suggest bullish momentum, falling values suggest bearish. - **Momentum (Mom)**: Derived from the MACD fast line (5, 20, 30). Rising MACD line indicates bullish momentum, falling indicates bearish. - **Dad**: Uses the MACD signal line. Rising signal line is bullish, falling is bearish. - **Price Change (PC)**: Compares the current close to the previous close. Higher close is bullish, lower is bearish. 2. **Dual Timeframe Comparison**: - Calculates the same five conditions on both the current timeframe and a user-selected higher timeframe (e.g., daily). - Helps traders see if the trend on the higher timeframe aligns with the current chart, providing context for stronger trade decisions. 3. **Visual Signals**: - **Arrows on Chart**: - **Current Timeframe**: Blue upward arrows below bars for bullish alignment, red downward arrows above bars for bearish alignment. - **Higher Timeframe**: Green upward triangles below bars for bullish alignment, orange downward triangles above bars for bearish alignment. - Arrows appear only when all five conditions align (all bullish or all bearish), indicating strong trend potential. 4. **Condition Table**: - Displays a table in the top-right corner with two rows: - **Top Row**: Current timeframe conditions (Trend, Stoch, Mom, Dad, PC). - **Bottom Row**: Higher timeframe conditions (labeled with "HTF"). - Each cell is color-coded: green for bullish, red for bearish. - The table can be toggled on/off via input settings. 5. **User Input**: - **Show Condition Boxes**: Toggle the table display (default: on). - **Comparison Timeframe**: Choose the higher timeframe (e.g., "D" for daily, default setting). ### How It Works - The indicator evaluates the five conditions on both timeframes. - When all conditions are bullish (or bearish) on a given timeframe, it plots an arrow/triangle to signal a strong trend. - The condition table provides a quick visual summary, allowing traders to compare the current and higher timeframe trends at a glance. ### Use Case - **Purpose**: Helps traders confirm strong trend entries by ensuring multiple indicators align across two timeframes. - **Example**: If you're trading on a 1-hour chart and see blue arrows with all green cells in the current timeframe row, plus green cells in the higher timeframe (e.g., daily) row, it suggests a strong bullish trend supported by both timeframes. - **Benefit**: Reduces noise by focusing on aligned signals, helping traders avoid weak or conflicting setups. ### Settings - Access the indicator settings in TradingView to: - Enable/disable the condition table. - Select a higher timeframe (e.g., 4H, D, W) for comparison. ### Notes - Best used in trending markets; may produce fewer signals in choppy conditions. - Combine with other analysis (e.g., support/resistance) for better decision-making. - The higher timeframe signals (triangles) provide context, so prioritize trades where both timeframes align. This indicator simplifies complex trend analysis into clear visual cues, making it ideal for traders seeking confirmation of strong momentum moves.
Pine Script® Indikator
von TSA_TimeSpaceAlgorithm
Reversal Point Dynamics⇋ Reversal Point Dynamics (RPD) This is not an indicator; it is a complete system for deconstructing the mechanics of a market reversal. Reversal Point Dynamics (RPD) moves far beyond simplistic pattern recognition, venturing into a deep analysis of the underlying forces that cause trends to exhaust, pause, and turn. It is engineered from the ground up to identify high-probability reversal points by quantifying the confluence of market dynamics in real-time. Where other tools provide a static signal, RPD delivers a dynamic probability. It understands that a true market turning point is not a single event, but a cascade of failing momentum, structural breakdown, and a shift in market order. RPD's core engine meticulously analyzes each of these dynamic components—the market's underlying state, its velocity and acceleration, its degree of chaos (entropy), and its structural framework. These forces are synthesized into a single, unified Probability Score, offering you an unprecedented, transparent view into the conviction behind every potential reversal. This is not a "black box" system. It is an open-architecture engine designed to empower the discerning trader. Featuring real-time signal projection, an integrated Fibonacci R2R Target Engine, and a comprehensive dashboard that acts as your Dynamics Control Center , RPD gives you a complete, holistic view of the market's state. The Theoretical Core: Deconstructing Market Dynamics RPD's analytical power is born from the intelligent synthesis of multiple, distinct theoretical models. Each pillar of the engine analyzes a different facet of market behavior. The convergence of these analyses—the "Singularity" event referenced in the dashboard—is what generates the final, high-conviction probability score. 1. Pillar One: Quantum State Analysis (QSA) This is the foundational analysis of the market's current state within its recent context. Instead of treating price as a random walk, QSA quantizes it into a finite number of discrete "states." Formulaic Concept: The engine establishes a price range using the highest high and lowest low over the Adaptive Analysis Period. This range is then divided into a user-defined number of Analysis Levels. The current price is mapped to one of these states (e.g., in a 9-level system, State 0 is the absolute low, and State 8 is the absolute high). Analytical Edge: This acts as a powerful foundational filter. The engine will only begin searching for reversal signals when the market has reached a statistically stretched, extreme state (e.g., State 0 or 8). The Edge Sensitivity input allows you to control exactly how close to this extreme edge the price must be, ensuring you are trading from points of maximum potential exhaustion. 2. Pillar Two: Price State Roc (PSR) - The Dynamics of Momentum This pillar analyzes the kinetic forces of the market: its velocity and acceleration. It understands that it’s not just where the price is, but how it got there that matters. Formulaic Concept: The psr function calculates two derivatives of price. Velocity: (price - price ). This measures the speed and direction of the current move. Acceleration: (velocity - velocity ). This measures the rate of change in that speed. A negative acceleration (deceleration) during a strong rally is a critical pre-reversal warning, indicating momentum is fading even as price may be pushing higher. Analytical Edge: The engine specifically hunts for exhaustion patterns where momentum is clearly decelerating as price reaches an extreme state. This is the mechanical signature of a weakening trend. 3. Pillar Three: Market Entropy Analysis - The Dynamics of Order & Chaos This is RPD's chaos filter, a concept borrowed from information theory. Entropy measures the degree of randomness or disorder in the market's price action. Formulaic Concept: The calculateEntropy function analyzes recent price changes. A market moving directionally and smoothly has low entropy (high order). A market chopping back and forth without direction has high entropy (high chaos). The value is normalized between 0 and 1. Analytical Edge: The most reliable trades occur in low-entropy, ordered environments. RPD uses the Entropy Threshold to disqualify signals that attempt to form in chaotic, unpredictable conditions, providing a powerful shield against whipsaw markets. 4. Pillar Four: The Synthesis Engine & Probability Calculation This is where all the dynamic forces converge. The final probability score is a weighted calculation that heavily rewards confluence. Formulaic Concept: The calculateProbability function intelligently assembles the final score: A Base Score is established from trend strength and entropy. An Entropy Score adds points for low entropy (order) and subtracts for high entropy (chaos). A significant Divergence Bonus is awarded for a classic momentum divergence. RSI & Volume Bonuses are added if momentum oscillators are in extreme territory or a volume spike confirms institutional interest. MTF & Adaptive Bonuses add further weight for alignment with higher timeframe structure. Analytical Edge: A signal backed by multiple dynamic forces (e.g., extreme state + decelerating momentum + low entropy + volume spike) will receive an exponentially higher probability score. This is the very essence of analyzing reversal point dynamics. The Command Center: Mastering the Inputs Every input is a precise lever of control, allowing you to fine-tune the RPD engine to your exact trading style, market, and timeframe. 🧠 Core Algorithm Predictive Mode (Early Detection): What It Is: Enables the engine to search for potential reversals on the current, unclosed bar. How It Works: Analyzes intra-bar acceleration and state to identify developing exhaustion. These signals are marked with a ' ? ' and are tentative. How To Use It: Enable for scalping or very aggressive day trading to get the earliest possible indication. Disable for swing trading or a more conservative approach that waits for full bar confirmation. Live Signal Mode (Current Bar): What It Is: A highly aggressive mode that plots tentative signals with a ' ! ' on the live bar based on projected price and momentum. These signals repaint intra-bar. How It Works: Uses a linear regression projection of the close to anticipate a reversal. How To Use It: For advanced users who use intra-bar dynamics for execution and understand the nature of repainting signals. Adaptive Analysis Period: What It Is: The main lookback period for the QSA, PSR, and Entropy calculations. This is the engine's "memory." How It Works: A shorter period makes the engine highly sensitive to local price swings. A longer period makes it focus only on major, significant market structure. How To Use It: Scalping (1-5m): 15-25. Day Trading (15m-1H): 25-40. Swing Trading (4H+): 40-60. Fractal Strength (Bars): What It Is: Defines the strength of the pivot detection used for confirming reversal events. How It Works: A value of '2' requires a candle's high/low to be more extreme than the two bars to its left and right. How To Use It: '2' is a robust standard. Increase to '3' for an even stricter definition of a structural pivot, which will result in fewer signals. MTF Multiplier: What It Is: Integrates pivot data from a higher timeframe for confluence. How It Works: A multiplier of '4' on a 15-minute chart will pull pivot data from the 1-hour chart (15 * 4 = 60m). How To Use It: Set to a multiple that corresponds to your preferred higher timeframe for contextual analysis. 🎯 Signal Settings Min Probability %: What It Is: Your master quality filter. A signal is only plotted if its score exceeds this threshold. How It Works: Directly filters the output of the final probability calculation. How To Use It: High-Quality (80-95): For A+ setups only. Balanced (65-75): For day trading. Aggressive (50-60): For scalping. Min Signal Distance (Bars): What It Is: A noise filter that prevents signals from clustering in choppy conditions. How It Works: Enforces a "cooldown" period of N bars after a signal. How To Use It: Increase in ranging markets to focus on major swings. Decrease on lower timeframes. Entropy Threshold: What It Is: Your "chaos shield." Sets the maximum allowable market randomness for a signal. How It Works: If calculated entropy is above this value, the signal is invalidated. How To Use It: Lower values (0.1-0.5): Extremely strict. Higher values (0.7-1.0): More lenient. 0.85 is a good balance. Adaptive Entropy & Aggressive Mode: What It Is: Toggles for dynamically adjusting the engine's core parameters. How It Works: Adaptive Entropy can slightly lower the required probability in strong trends. Aggressive Mode uses more lenient settings across the board. How To Use It: Keep Adaptive on. Use Aggressive Mode sparingly, primarily for scalping highly volatile assets. 📊 State Analysis Analysis Levels: What It Is: The number of discrete "states" for the QSA. How It Works: More levels create a finer-grained analysis of price location. How To Use It: 6-7 levels are ideal. Increasing to 9 can provide more precision on very volatile assets. Edge Sensitivity: What It Is: Defines how close to the absolute top/bottom of the range price must be. How It Works: '0' means price must be in the absolute highest/lowest state. '3' allows a signal within the top/bottom 3 states. How To Use It: '3' provides a good balance. Lower it to '1' or '0' if you only want to trade extreme exhaustion. The Dashboard: Your Dynamics Control Center The dashboard provides a transparent, real-time view into the engine's brain. Use it to understand the context behind every signal and to gauge the current market environment at a glance. 🎯 UNIFIED PROB SCORE TOTAL SCORE: The highest probability score (either Peak or Valley) the engine is currently calculating. This is your main at-a-glance conviction metric. The "Singularity" header refers to the event where market dynamics align—the event RPD is built to detect. Quality: A human-readable interpretation of the Total Score. "EXCEPTIONAL" (🌟) is a rare, A+ confluence event. "STRONG" (💪) is a high-quality, tradable setup. 📊 ORDER FLOW & COMPONENT ANALYSIS Volume Spike: Shows if the current volume is significantly higher than average (YES/NO). A 'YES' adds major confirmation. Peak/Valley Conf: This breaks down the probability score into its directional components, showing you the separate confidence levels for a potential top (Peak) versus a bottom (Valley). 🌌 MARKET STRUCTURE HTF Trend: Shows the direction of the underlying trend based on a Supertrend calculation. Entropy: The current market chaos reading. "🔥 LOW" is an ideal, ordered state for trading. "😴 HIGH" is a warning of choppy, unpredictable conditions. 🔮 FIB & R2R ZONE (Large Dashboard) This section gives you the status of the Fibonacci Target Engine. It shows if an Active Channel (entry zone) or Stop Zone (invalidation zone) is active and displays the precise price levels for the static entry, target, and stop calculated at the time of the signal. 🛡️ FILTERS & PREDICTIVES (Large Dashboard) This panel provides a status check on all the bonus filters. It shows the current RSI Status, whether a Divergence is present, and if a Live Pending signal is forming. The Visual Interface: A Symphony of Data Every visual element is designed for instant, intuitive interpretation of market dynamics. Signal Markers: These are the primary outputs of the engine. ▼/▲ b: A fully confirmed signal that has passed all filters. ? b: A tentative signal generated in Predictive Mode, indicating developing dynamics. ◈ b: This diamond icon replaces the standard triangle when the signal is confirmed by a strong momentum divergence, highlighting it as a superior setup where dynamics are misaligned with price. Harmonic Wave: The flowing, colored wave around the price. What It Represents: The market's "flow dynamic" and volatility. How to Interpret It: Expanding waves show increasing volatility. The color is tied to the "Quantum Color" in your theme, representing the underlying energy field of the market. Entropy Particles: The small dots appearing above/below price. What They Represent: A direct visualization of the "order dynamic." How to Interpret Them: Their presence signifies a low-entropy, ordered state ideal for trading. Their color indicates the direction of momentum (PSR velocity). Their absence means the market is too chaotic (high entropy). The Fibonacci Target Engine: The dynamic R2R system appearing post-signal. Static Fib Levels: Colored horizontal lines representing the market's "structural dynamic." The Green "Active Channel" Box: Your zone of consideration. An area to manage a potential entry. Development Philosophy Reversal Point Dynamics was engineered to answer a fundamental question: can we objectively measure the forces behind a market turn? It is a synthesis of concepts from market microstructure, statistics, and information theory. The objective was never to create a "perfect" system, but to build a robust decision-support tool that provides a measurable, statistical edge by focusing on the principle of confluence. By demanding that multiple, independent market dynamics align simultaneously, RPD filters out the vast majority of market noise. It is designed for the trader who thinks in terms of probability and risk management, not in terms of certainties. It is a tool to help you discount the obvious and bet on the unexpected alignment of market forces. "Markets are constantly in a state of uncertainty and flux and money is made by discounting the obvious and betting on the unexpected." — George Soros Trade with insight. Trade with anticipation. — Dskyz, for DAFE Trading Systems
Pine Script® Indikator
von DskyzInvestments
46
Orthogonal Projections to Latent Structures (O-PLS)Version 0.1 Orthogonal Projections to Latent Structures (O-PLS) Indicator for TradingView This indicator, named "Orthogonal Projections to Latent Structures (O-PLS)", is designed to help traders understand the relevance or predictive power of various market variables on the future close price of the asset it's applied to. Unlike standard correlation coefficients that show a simple linear relationship, O-PLS aims to separate variables into "predictive" (relevant to Y) and "orthogonal" (irrelevant noise) components. This Pine Script indicator provides a simplified proxy of the relevance score derived from O-PLS principles. Purpose of the Indicator The primary purpose of this indicator is to identify which technical factors (such as price, volume, and other indicators) have the strongest relationship with the future price movement of the current trading instrument. By providing a "relevance score" for each input variable, it helps traders focus on the most influential data points, potentially leading to more informed trading decisions. Inputs The indicator offers the following user-definable inputs: * **Lookback Period:** This integer input (default: 100, min: 10, max: 500) determines the number of past bars used to calculate the relevance scores for each variable. A longer lookback period considers more historical data, which can lead to smoother, less reactive scores but might miss recent shifts in variable importance. * **External Asset Symbol:** This symbol input (default: `BINANCE:BTCUSDT`) allows you to specify an external asset (e.g., `BINANCE:ETHUSDT`, `NASDAQ:TSLA`) whose close price will be included in the analysis as an additional variable. This is useful for cross-market analysis to see how other assets influence the current chart. * **Plot Visibility Checkboxes (e.g., "Plot: Open Price Relevance", "Plot: Volume Relevance", etc.):** These boolean checkboxes allow you to toggle the visibility of individual relevance score plots on the chart, helping to declutter the display and focus on specific variables. Outputs The indicator provides two main types of output: Relevance Score Plots: These are lines plotted in a separate pane below the main price chart. Each line corresponds to a specific market variable (Open Price, Close Price, High Price, Low Price, Volume, various RSIs, SMAs, MFI, and the External Asset Close). The value of each line represents the calculated "relevance score" for that variable, typically scaled between 0 and 10. A higher score indicates a stronger predictive relationship with the future close price. Sorted Relevance Table : A table displayed in the top-right corner of the chart provides a clear, sorted list of all analyzed variables and their corresponding relevance scores. The table is sorted in descending order of relevance, making it easy to identify the most influential factors at a glance. Each variable name in the table is colored according to its plot color, and the external asset's name is dynamically displayed without the "BINANCE:" prefix. How to Use the Indicator 1. **Add to Chart:** Apply the "Orthogonal Projections to Latent Structures (O-PLS)" indicator to your desired trading chart (e.g., ETH/USDT). 2. **Adjust Inputs:** * **Lookback Period:** Experiment with different lookback periods to see how the relevance scores change. A shorter period might highlight recent correlations, while a longer one might show more fundamental relationships. * **External Asset Symbol:** If you trade BTC/USDT, you might add ETH/USDT or SPX as an external asset to see its influence. 3. **Analyze Relevance Scores:** * **Plots:** Observe the individual relevance score plots over time. Are certain variables consistently high? Do scores change before significant price moves? * **Table:** Refer to the sorted table on the latest confirmed bar to quickly identify the top-ranked variables. 4. **Incorporate into Strategy:** Use the insights from the relevance scores to: * Prioritize certain indicators or price actions in your trading strategy. For example, if "Volume" has a high relevance score, it suggests volume confirmation is critical for future price moves. * Understand the influence of inter-market relationships (via the External Asset Close). How the Indicator Works The indicator works by performing the following steps on each bar: 1. **Data Fetching:** It gathers historical data for various price components (open, high, low, close), volume, and calculated technical indicators (SMA, RSI, MFI) for the specified `lookback` period. It also fetches the close price of an `External Asset Symbol` . 2. **Standardization (Z-scoring):** All collected raw data series are standardized by converting them into Z-scores. This involves subtracting the mean of each series and dividing by its standard deviation . Standardization is crucial because it brings all variables to a common scale, preventing variables with larger absolute values from disproportionately influencing the correlation calculations. 3. **Correlation Calculation (Proxy for O-PLS Relevance):** The indicator then calculates a simplified form of correlation between each standardized input variable and the standardized future close price (Y variable) . This correlation is a proxy for the relevance that O-PLS would identify. A high absolute correlation indicates a strong linear relationship. 4. **Relevance Scaling:** The calculated correlation values are then scaled to a range of 0 to 10 to provide an easily interpretable "relevance score" . 5. **Output Display:** The relevance scores are presented both as time-series plots (allowing observation of changes over time) and in a real-time sorted table (for quick identification of top factors on the current bar) . How it Differs from Full O-PLS This indicator provides a *simplified proxy* of O-PLS principles rather than a full, mathematically rigorous O-PLS model. Here's why and how it differs: * **Dimensionality Reduction:** A full O-PLS model would involve complex matrix factorization techniques to decompose the independent variables (X) into components that are predictive of Y and components that are orthogonal (unrelated) to Y but still describe X's variance. Pine Script's array capabilities and computational limits make direct implementation of these matrix operations challenging. * **Orthogonal Components:** A true O-PLS model explicitly identifies and removes orthogonal components (noise) from the X data that are unrelated to Y. This indicator, in its simplified form, primarily focuses on the direct correlation (relevance) between each X variable and Y after standardization, without explicitly modeling and separating these orthogonal variations. * **Predictive Model:** A full O-PLS model is ultimately a predictive model that can be used for regression (predicting Y). This indicator, however, focuses solely on **identifying the relevance/correlation of inputs to Y**, rather than building a predictive model for Y itself. It's more of an analytical tool for feature importance than a direct prediction engine. * **Computational Intensity:** Full O-PLS involves Singular Value Decomposition (SVD) or Partial Least Squares (PLS) algorithms, which are computationally intensive. The indicator uses simpler statistical measures (mean, standard deviation, and direct correlation calculation over a lookback window) that are feasible within Pine Script's execution limits. In essence, this Pine Script indicator serves as a practical tool for gaining insights into variable relevance, inspired by the spirit of O-PLS, but adapted for the constraints and common use cases of a TradingView environment.
Pine Script® Indikator
von VolatilityRob
Exponential-Decay Cumulative Spread (Cycle-Tuned)## Indicator Overview **Exponential-Decay Cumulative Spread (Cycle-Tuned)** – short title **LambdaCumDelta** – tracks the percentage spread between CEXs BTC spot prices. By clipping outliers, applying an exponential-decay running sum, and comparing that sum to rolling percentile bands, the script flags potential **cycle bottoms** and **cycle tops** whenever the cumulative spread stays beyond extreme thresholds for three consecutive bars. --- ### Core Logic 1. **Price Spread** `spread_pct = (cexA – cexB) / cexB × 100`. 2. **Outlier Suppression** * Calculates the **90-day standard deviation σ** of `spread_pct`. * Uses a **clip coefficient `k_clip`** (0.5–5.0) to cap the spread at `±k_clip × σ`, damping single-day anomalies. 3. **Exponential-Decay Sum** * Applies a decay factor **λ** (0.50–0.999): ``` CumΔₜ = spread_clipₜ + λ × CumΔₜ₋₁ ``` * Larger λ → longer memory half-life. 4. **Rolling Percentile Bands** * Uses a **365-bar window** to derive dynamic percentile thresholds. * Upper / Lower bands are set by **perc\_hi** and **perc\_lo** (e.g., 85 % and 15 %). 5. **Signal Definition** * **Bullish** (cycle bottom): `CumΔ` above the upper band for **3 straight bars**. * **Bearish** (cycle top): `CumΔ` below the lower band for **3 straight bars**. --- ### Chart Elements | Plot | Style | Meaning | | --------------- | ----------------- | ----------------------------------- | | **CumΔ** | Teal thick line | Exponential-decay cumulative spread | | Upper Threshold | Green thin line | Rolling upper percentile | | Lower Threshold | Red thin line | Rolling lower percentile | | Background | Faded green / red | Bullish / bearish signal zone | --- ### Key Inputs | Input | Default | Purpose | | -------------------- | ------- | ------------------------------- | | **Decay factor λ** | 0.95 | Memory length of CumΔ | | **Clip coefficient** | 2.0 | Multiple of σ for outlier cap | | **Upper percentile** | 85 | Cycle-bottom trigger percentile | | **Lower percentile** | 15 | Cycle-top trigger percentile | --- ### Practical Tips 1. **Timing bias** * Green background often precedes mean-reversion of the spread – consider scaling into longs or covering shorts. * Red background suggests stretched positive spread – consider trimming longs or lightening exposure. 2. **Combine with volume, trend filters (MA, MACD, etc.)** to weed out false extremes. 3. Designed for **daily charts**; ensure both exchange feeds are synchronized. --- ### Alerts Two built-in `alertcondition`s fire when bullish or bearish criteria are met, enabling push / email / webhook notifications. --- ### Disclaimer This script is for educational and research purposes only and is **not** financial advice. Test thoroughly and trade at your own risk.
Pine Script® Indikator
von Yarlung
Weekly Volume USDT## Description This Pine Script indicator displays the trading volume for each day of the current week (Monday through Sunday) in a clean table format on your TradingView chart. The volume is calculated in USDT equivalent and displayed in the top-right corner of the chart. ## Features - **Weekly Volume Breakdown**: Shows individual daily volumes from Monday to Sunday - **USDT Conversion**: Automatically converts volume to USDT using the average price (open + close / 2) - **Smart Formatting**: - Large numbers are formatted with K (thousands) and M (millions) suffixes - Example: 1,234,567 → 1.23M USDT - **Clean Table Display**: Fixed position table in the top-right corner - **Current Week Focus**: Displays volumes for the current week only - **Future Days Handling**: Days that haven't occurred yet in the current week show as "-" ## How It Works 1. The indicator calculates the average price for each day using (Open + Close) / 2 2. Multiplies the daily volume by the average price to get USDT-equivalent volume 3. Displays the results in an easy-to-read table format ## Use Cases - **Volume Analysis**: Quickly identify which days of the week have the highest trading activity - **Pattern Recognition**: Spot weekly volume patterns and trends - **Trading Decisions**: Use volume information to inform your trading strategies - **Market Activity Monitoring**: Keep track of market participation throughout the week ## Installation Simply add this indicator to your TradingView chart and it will automatically display the weekly volume table in the top-right corner. ## Tags #volume #weekly #USDT #table #analysis #trading #cryptocurrency
Pine Script® Indikator
von nooptr
Adaptive Cycle Oscillator with EMADescription of the Adaptive Cycle Oscillator with EMA Pine Script This Pine Script, titled "Adaptive Cycle Oscillator with EMA", is a custom technical indicator designed for TradingView to help traders analyze market cycles and identify potential buy or sell opportunities. It combines an Adaptive Cycle Oscillator (ACO) with multiple Exponential Moving Averages (EMAs), displayed as colorful, wavy lines, and includes features like buy/sell signals and divergence detection. Below is a beginner-friendly explanation of how the script works, adhering to TradingView's Script Publishing Rules. What This Indicator Does The Adaptive Cycle Oscillator with EMA helps you: Visualize market cycles using an oscillator that adapts to price movements. Track trends with seven EMAs of different lengths, plotted as a rainbow of wavy lines. Identify potential buy or sell signals when the oscillator crosses predefined thresholds. Spot divergences between the oscillator and price to anticipate reversals. Use customizable settings to adjust the indicator to your trading style. Note: This is a technical analysis tool and does not guarantee profits. Always combine it with other analysis methods and practice risk management. Step-by-Step Explanation for New Users 1. Understanding the Indicator Adaptive Cycle Oscillator (ACO): The ACO analyzes price data (based on high, low, and close prices, or HLC3) to detect market cycles. It smooths price movements to create an oscillator that swings between overbought and oversold levels. EMAs: Seven EMAs of different lengths are applied to the ACO and scaled based on the market's dominant cycle. These EMAs are plotted as colorful, wavy lines to show trend direction. Buy/Sell Signals: The script generates signals when the ACO crosses above or below user-defined thresholds, indicating potential entry or exit points. Divergence Detection: The script identifies bullish or bearish divergences between the ACO and the fastest EMA, which may signal potential reversals. Visual Style: The indicator uses a rainbow of seven colors (red, orange, yellow, green, blue, indigo, violet) for the EMAs, with wavy lines for a unique visual effect. Static levels (zero, overbought, oversold) are also wavy for consistency. 2. How to Add the Indicator to Your Chart Open TradingView and load the chart of any asset (e.g., stock, forex, crypto). Click on the Indicators button at the top of the chart. Search for "Adaptive Cycle Oscillator with EMA" (or paste the script into TradingView’s Pine Editor if you have access to it). Click to add the indicator to your chart. It will appear in a separate panel below the price chart. 3. Customizing the Indicator The script offers several input options to tailor it to your needs: Base Cycle Length (Default: 20): Sets the initial period for calculating the dominant cycle. Higher values make the indicator slower; lower values make it more sensitive. Alpha Smoothing (Default: 0.07): Controls how much the ACO smooths price data. Smaller values produce smoother results. Show Buy/Sell Signals (Default: True): Toggle to display green triangles (buy) and red triangles (sell) on the chart. Threshold (Default: 0.0): Defines overbought (above threshold) and oversold (below threshold) levels. Adjust to widen or narrow signal zones. EMA Base Length (Default: 10): Sets the starting length for the fastest EMA. Other EMAs are incrementally longer (12, 14, 16, etc.). Divergence Lookback (Default: 14): Determines how far back the script looks to detect divergences. To adjust these: Right-click the indicator on your chart and select Settings. Modify the inputs in the pop-up window. Click OK to apply changes. 4. Reading the Indicator Oscillator and EMAs: The ACO and seven EMAs are plotted in a separate panel. The EMAs (colored lines) move in a wavy pattern: Red (fastest) to Violet (slowest) represent different response speeds. When the faster EMAs (e.g., red, orange) are above slower ones (e.g., blue, violet), it suggests bullish momentum, and vice versa. Zero Line: A gray wavy line at zero acts as a neutral level. The ACO above zero indicates bullish conditions; below zero indicates bearish conditions. Overbought/Oversold Lines: Red (overbought) and green (oversold) wavy lines mark threshold levels. Extreme ACO values near these lines may suggest reversals. Buy/Sell Signals: Green Triangle (Bottom): Appears when the ACO crosses above the oversold threshold, suggesting a potential buy. Red Triangle (Top): Appears when the ACO crosses below the overbought threshold, suggesting a potential sell. Divergences: Green Triangle (Bottom): Indicates a bullish divergence (price makes a lower low, but the EMA makes a higher low), hinting at a potential upward reversal. Red Triangle (Top): Indicates a bearish divergence (price makes a higher high, but the EMA makes a lower high), hinting at a potential downward reversal. 5. Using Alerts You can set alerts for key events: Right-click the indicator and select Add Alert. Choose a condition (e.g., "ACO Buy Signal", "Bullish Divergence"). Configure the alert settings (e.g., notify via email, app, or pop-up). Click Create to activate the alert. Available alert conditions: ACO Buy Signal: When the ACO crosses above the oversold threshold. ACO Sell Signal: When the ACO crosses below the overbought threshold. Bullish Divergence: When a potential upward reversal is detected. Bearish Divergence: When a potential downward reversal is detected. 6. Tips for Using the Indicator Combine with Other Tools: Use the indicator alongside support/resistance levels, candlestick patterns, or other indicators (e.g., RSI, MACD) for confirmation. Test on Different Timeframes: The indicator works on any timeframe (e.g., 1-minute, daily). Shorter timeframes may produce more signals but with more noise. Practice Risk Management: Never rely solely on this indicator. Set stop-losses and position sizes to manage risk. Backtest First: Use TradingView’s Strategy Tester (if you convert the script to a strategy) to evaluate performance on historical data. Compliance with TradingView’s Script Publishing Rules This description adheres to TradingView’s Script Publishing Rules (as outlined in the provided link): No Performance Claims: The description avoids promising profits or specific results, emphasizing that the indicator is a tool for analysis. Clear Instructions: It provides step-by-step guidance for adding, customizing, and using the indicator. Risk Disclaimer: It notes that trading involves risks and the indicator should be used with other analysis methods. No Misleading Terms: Terms like “buy” and “sell” are used to describe signals, not guaranteed actions. Transparency: The description explains the indicator’s components (ACO, EMAs, signals, divergences) without exaggerating its capabilities. No External Links: The description avoids linking to external resources or soliciting users. Educational Tone: It focuses on educating users about the indicator’s functionality. Limitations Not a Standalone System: The indicator is not a complete trading strategy. It provides insights but requires additional analysis. Lagging Nature: As with most oscillators and EMAs, signals may lag behind price movements, especially in fast markets. False Signals: Signals and divergences may not always lead to successful trades, particularly in choppy markets. Market Dependency: Performance varies across assets and market conditions (e.g., trending vs. ranging markets).
Pine Script® Indikator
von Trading_Indicator_Pro
1
Bias Bar Coloring + Multi-Timeframe Bias Table + AlertsMulti-Timeframe Bias Bar Coloring with Alerts & Table This indicator provides a powerful, visual way to assess price action bias across multiple timeframes—Monthly, Weekly, and Daily—while also coloring each bar based on the current chart’s bias. Features: Persistent Bar Coloring: Bars are colored green for bullish bias (close above previous high), red for bearish bias (close below previous low), and persist the last color if neither condition is met. This makes trend shifts and momentum easy to spot at a glance. Bias Change Alerts: Get notified instantly when the bias flips from bullish to bearish or vice versa, helping you stay on top of potential trade setups or risk management decisions. Multi-Timeframe Bias Table: A table anchored in the top right corner displays the current bias for the Monthly, Weekly, and Daily charts, color-coded for quick reference. This gives you a clear view of higher timeframe context while trading any chart. Consistent Logic: The same objective bias logic is used for all timeframes, ensuring clarity and reliability in your analysis. How to Use: Use the bar colors for instant visual feedback on trend and momentum shifts. Watch the top-right table to align your trades with higher timeframe bias, improving your edge and filtering out lower-probability setups. Set alerts to be notified of bias changes, so you never miss a potential opportunity. This tool is ideal for traders who value multi-timeframe analysis, want clear visual cues for trend direction, and appreciate having actionable alerts and context at their fingertips.
Pine Script® Indikator
von TRDRZone
Trend Gauge [BullByte]Trend Gauge Summary A multi-factor trend detection indicator that aggregates EMA alignment, VWMA momentum scaling, volume spikes, ATR breakout strength, higher-timeframe confirmation, ADX-based regime filtering, and RSI pivot-divergence penalty into one normalized trend score. It also provides a confidence meter, a Δ Score momentum histogram, divergence highlights, and a compact, scalable dashboard for at-a-glance status. ________________________________________ ## 1. Purpose of the Indicator Why this was built Traders often monitor several indicators in parallel - EMAs, volume signals, volatility breakouts, higher-timeframe trends, ADX readings, divergence alerts, etc., which can be cumbersome and sometimes contradictory. The “Trend Gauge” indicator was created to consolidate these complementary checks into a single, normalized score that reflects the prevailing market bias (bullish, bearish, or neutral) and its strength. By combining multiple inputs with an adaptive regime filter, scaling contributions by magnitude, and penalizing weakening signals (divergence), this tool aims to reduce noise, highlight genuine trend opportunities, and warn when momentum fades. Key Design Goals Signal Aggregation Merged trend-following signals (EMA crossover, ATR breakout, higher-timeframe confirmation) and momentum signals (VWMA thrust, volume spikes) into a unified score that reflects directional bias more holistically. Market Regime Awareness Implemented an ADX-style filter to distinguish between trending and ranging markets, reducing the influence of trend signals during sideways phases to avoid false breakouts. Magnitude-Based Scaling Replaced binary contributions with scaled inputs: VWMA thrust and ATR breakout are weighted relative to recent averages, allowing for more nuanced score adjustments based on signal strength. Momentum Divergence Penalty Integrated pivot-based RSI divergence detection to slightly reduce the overall score when early signs of momentum weakening are detected, improving risk-awareness in entries. Confidence Transparency Added a live confidence metric that shows what percentage of enabled sub-indicators currently agree with the overall bias, making the scoring system more interpretable. Momentum Acceleration Visualization Plotted the change in score (Δ Score) as a histogram bar-to-bar, highlighting whether momentum is increasing, flattening, or reversing, aiding in more timely decision-making. Compact Informational Dashboard Presented a clean, scalable dashboard that displays each component’s status, the final score, confidence %, detected regime (Trending/Ranging), and a labeled strength gauge for quick visual assessment. ________________________________________ ## 2. Why a Trader Should Use It Main benefits and use cases 1. Unified View: Rather than juggling multiple windows or panels, this indicator delivers a single score synthesizing diverse signals. 2. Regime Filtering: In ranging markets, trend signals often generate false entries. The ADX-based regime filter automatically down-weights trend-following components, helping you avoid chasing false breakouts. 3. Nuanced Momentum & Volatility: VWMA and ATR breakout contributions are normalized by recent averages, so strong moves register strongly while smaller fluctuations are de-emphasized. 4. Early Warning of Weakening: Pivot-based RSI divergence is detected and used to slightly reduce the score when price/momentum diverges, giving a cautionary signal before a full reversal. 5. Confidence Meter: See at a glance how many sub-indicators align with the aggregated bias (e.g., “80% confidence” means 4 out of 5 components agree ). This transparency avoids black-box decisions. 6. Trend Acceleration/Deceleration View: The Δ Score histogram visualizes whether the aggregated score is rising (accelerating trend) or falling (momentum fading), supplementing the main oscillator. 7. Compact Dashboard: A corner table lists each check’s status (“Bull”, “Bear”, “Flat” or “Disabled”), plus overall Score, Confidence %, Regime, Trend Strength label, and a gauge bar. Users can scale text size (Normal, Small, Tiny) without removing elements, so the full picture remains visible even in compact layouts. 8. Customizable & Transparent: All components can be enabled/disabled and parameterized (lengths, thresholds, weights). The full Pine code is open and well-commented, letting users inspect or adapt the logic. 9. Alert-ready: Built-in alert conditions fire when the score crosses weak thresholds to bullish/bearish or returns to neutral, enabling timely notifications. ________________________________________ ## 3. Component Rationale (“Why These Specific Indicators?”) Each sub-component was chosen because it adds complementary information about trend or momentum: 1. EMA Cross o Basic trend measure: compares a faster EMA vs. a slower EMA. Quickly reflects trend shifts but by itself can whipsaw in sideways markets. 2. VWMA Momentum o Volume-weighted moving average change indicates momentum with volume context. By normalizing (dividing by a recent average absolute change), we capture the strength of momentum relative to recent history. This scaling prevents tiny moves from dominating and highlights genuinely strong momentum. 3. Volume Spikes o Sudden jumps in volume combined with price movement often accompany stronger moves or reversals. A binary detection (+1 for bullish spike, -1 for bearish spike) flags high-conviction bars. 4. ATR Breakout o Detects price breaking beyond recent highs/lows by a multiple of ATR. Measures breakout strength by how far beyond the threshold price moves relative to ATR, capped to avoid extreme outliers. This gives a volatility-contextual trend signal. 5. Higher-Timeframe EMA Alignment o Confirms whether the shorter-term trend aligns with a higher timeframe trend. Uses request.security with lookahead_off to avoid future data. When multiple timeframes agree, confidence in direction increases. 6. ADX Regime Filter (Manual Calculation) o Computes directional movement (+DM/–DM), smoothes via RMA, computes DI+ and DI–, then a DX and ADX-like value. If ADX ≥ threshold, market is “Trending” and trend components carry full weight; if ADX < threshold, “Ranging” mode applies a configurable weight multiplier (e.g., 0.5) to trend-based contributions, reducing false signals in sideways conditions. Volume spikes remain binary (optional behavior; can be adjusted if desired). 7. RSI Pivot-Divergence Penalty o Uses ta.pivothigh / ta.pivotlow with a lookback to detect pivot highs/lows on price and corresponding RSI values. When price makes a higher high but RSI makes a lower high (bearish divergence), or price makes a lower low but RSI makes a higher low (bullish divergence), a divergence signal is set. Rather than flipping the trend outright, the indicator subtracts (or adds) a small penalty (configurable) from the aggregated score if it would weaken the current bias. This subtle adjustment warns of weakening momentum without overreacting to noise. 8. Confidence Meter o Counts how many enabled components currently agree in direction with the aggregated score (i.e., component sign × score sign > 0). Displays this as a percentage. A high percentage indicates strong corroboration; a low percentage warns of mixed signals. 9. Δ Score Momentum View o Plots the bar-to-bar change in the aggregated score (delta_score = score - score ) as a histogram. When positive, bars are drawn in green above zero; when negative, bars are drawn in red below zero. This reveals acceleration (rising Δ) or deceleration (falling Δ), supplementing the main oscillator. 10. Dashboard • A table in the indicator pane’s top-right with 11 rows: 1. EMA Cross status 2. VWMA Momentum status 3. Volume Spike status 4. ATR Breakout status 5. Higher-Timeframe Trend status 6. Score (numeric) 7. Confidence % 8. Regime (“Trending” or “Ranging”) 9. Trend Strength label (e.g., “Weak Bullish Trend”, “Strong Bearish Trend”) 10. Gauge bar visually representing score magnitude • All rows always present; size_opt (Normal, Small, Tiny) only changes text size via text_size, not which elements appear. This ensures full transparency. ________________________________________ ## 4. What Makes This Indicator Stand Out • Regime-Weighted Multi-Factor Score: Trend and momentum signals are adaptively weighted by market regime (trending vs. ranging) , reducing false signals. • Magnitude Scaling: VWMA and ATR breakout contributions are normalized by recent average momentum or ATR, giving finer gradation compared to simple ±1. • Integrated Divergence Penalty: Divergence directly adjusts the aggregated score rather than appearing as a separate subplot; this influences alerts and trend labeling in real time. • Confidence Meter: Shows the percentage of sub-signals in agreement, providing transparency and preventing blind trust in a single metric. • Δ Score Histogram Momentum View: A histogram highlights acceleration or deceleration of the aggregated trend score, helping detect shifts early. • Flexible Dashboard: Always-visible component statuses and summary metrics in one place; text size scaling keeps the full picture available in cramped layouts. • Lookahead-Safe HTF Confirmation: Uses lookahead_off so no future data is accessed from higher timeframes, avoiding repaint bias. • Repaint Transparency: Divergence detection uses pivot functions that inherently confirm only after lookback bars; description documents this lag so users understand how and when divergence labels appear. • Open-Source & Educational: Full, well-commented Pine v6 code is provided; users can learn from its structure: manual ADX computation, conditional plotting with series = show ? value : na, efficient use of table.new in barstate.islast, and grouped inputs with tooltips. • Compliance-Conscious: All plots have descriptive titles; inputs use clear names; no unnamed generic “Plot” entries; manual ADX uses RMA; all request.security calls use lookahead_off. Code comments mention repaint behavior and limitations. ________________________________________ ## 5. Recommended Timeframes & Tuning • Any Timeframe: The indicator works on small (e.g., 1m) to large (daily, weekly) timeframes. However: o On very low timeframes (<1m or tick charts), noise may produce frequent whipsaws. Consider increasing smoothing lengths, disabling certain components (e.g., volume spike if volume data noisy), or using a larger pivot lookback for divergence. o On higher timeframes (daily, weekly), consider longer lookbacks for ATR breakout or divergence, and set Higher-Timeframe trend appropriately (e.g., 4H HTF when on 5 Min chart). • Defaults & Experimentation: Default input values are chosen to be balanced for many liquid markets. Users should test with replay or historical analysis on their symbol/timeframe and adjust: o ADX threshold (e.g., 20–30) based on instrument volatility. o VWMA and ATR scaling lengths to match average volatility cycles. o Pivot lookback for divergence: shorter for faster markets, longer for slower ones. • Combining with Other Analysis: Use in conjunction with price action, support/resistance, candlestick patterns, order flow, or other tools as desired. The aggregated score and alerts can guide attention but should not be the sole decision-factor. ________________________________________ ## 6. How Scoring and Logic Works (Step-by-Step) 1. Compute Sub-Scores o EMA Cross: Evaluate fast EMA > slow EMA ? +1 : fast EMA < slow EMA ? -1 : 0. o VWMA Momentum: Calculate vwma = ta.vwma(close, length), then vwma_mom = vwma - vwma . Normalize: divide by recent average absolute momentum (e.g., ta.sma(abs(vwma_mom), lookback)), clip to . o Volume Spike: Compute vol_SMA = ta.sma(volume, len). If volume > vol_SMA * multiplier AND price moved up ≥ threshold%, assign +1; if moved down ≥ threshold%, assign -1; else 0. o ATR Breakout: Determine recent high/low over lookback. If close > high + ATR*mult, compute distance = close - (high + ATR*mult), normalize by ATR, cap at a configured maximum. Assign positive contribution. Similarly for bearish breakout below low. o Higher-Timeframe Trend: Use request.security(..., lookahead=barmerge.lookahead_off) to fetch HTF EMAs; assign +1 or -1 based on alignment. 2. ADX Regime Weighting o Compute manual ADX: directional movements (+DM, –DM), smoothed via RMA, DI+ and DI–, then DX and ADX via RMA. If ADX ≥ threshold, market is considered “Trending”; otherwise “Ranging.” o If trending, trend-based contributions (EMA, VWMA, ATR, HTF) use full weight = 1.0. If ranging, use weight = ranging_weight (e.g., 0.5) to down-weight them. Volume spike stays binary ±1 (optional to change if desired). 3. Aggregate Raw Score o Sum weighted contributions of all enabled components. Count the number of enabled components; if zero, default count = 1 to avoid division by zero. 4. Divergence Penalty o Detect pivot highs/lows on price and corresponding RSI values, using a lookback. When price and RSI diverge (bearish or bullish divergence), check if current raw score is in the opposing direction:  If bearish divergence (price higher high, RSI lower high) and raw score currently positive, subtract a penalty (e.g., 0.5).  If bullish divergence (price lower low, RSI higher low) and raw score currently negative, add a penalty. o This reduces score magnitude to reflect weakening momentum, without flipping the trend outright. 5. Normalize and Smooth o Normalized score = (raw_score / number_of_enabled_components) * 100. This yields a roughly range. o Optional EMA smoothing of this normalized score to reduce noise. 6. Interpretation o Sign: >0 = net bullish bias; <0 = net bearish bias; near zero = neutral. o Magnitude Zones: Compare |score| to thresholds (Weak, Medium, Strong) to label trend strength (e.g., “Weak Bullish Trend”, “Medium Bearish Trend”, “Strong Bullish Trend”). o Δ Score Histogram: The histogram bars from zero show change from previous bar’s score; positive bars indicate acceleration, negative bars indicate deceleration. o Confidence: Percentage of sub-indicators aligned with the score’s sign. o Regime: Indicates whether trend-based signals are fully weighted or down-weighted. ________________________________________ ## 7. Oscillator Plot & Visualization: How to Read It Main Score Line & Area The oscillator plots the aggregated score as a line, with colored fill: green above zero for bullish area, red below zero for bearish area. Horizontal reference lines at ±Weak, ±Medium, and ±Strong thresholds mark zones: crossing above +Weak suggests beginning of bullish bias, above +Medium for moderate strength, above +Strong for strong trend; similarly for bearish below negative thresholds. Δ Score Histogram If enabled, a histogram shows score - score . When positive, bars appear in green above zero, indicating accelerating bullish momentum; when negative, bars appear in red below zero, indicating decelerating or reversing momentum. The height of each bar reflects the magnitude of change in the aggregated score from the prior bar. Divergence Highlight Fill If enabled, when a pivot-based divergence is confirmed: • Bullish Divergence : fill the area below zero down to –Weak threshold in green, signaling potential reversal from bearish to bullish. • Bearish Divergence : fill the area above zero up to +Weak threshold in red, signaling potential reversal from bullish to bearish. These fills appear with a lag equal to pivot lookback (the number of bars needed to confirm the pivot). They do not repaint after confirmation, but users must understand this lag. Trend Direction Label When score crosses above or below the Weak threshold, a small label appears near the score line reading “Bullish” or “Bearish.” If the score returns within ±Weak, the label “Neutral” appears. This helps quickly identify shifts at the moment they occur. Dashboard Panel In the indicator pane’s top-right, a table shows: 1. EMA Cross status: “Bull”, “Bear”, “Flat”, or “Disabled” 2. VWMA Momentum status: similarly 3. Volume Spike status: “Bull”, “Bear”, “No”, or “Disabled” 4. ATR Breakout status: “Bull”, “Bear”, “No”, or “Disabled” 5. Higher-Timeframe Trend status: “Bull”, “Bear”, “Flat”, or “Disabled” 6. Score: numeric value (rounded) 7. Confidence: e.g., “80%” (colored: green for high, amber for medium, red for low) 8. Regime: “Trending” or “Ranging” (colored accordingly) 9. Trend Strength: textual label based on magnitude (e.g., “Medium Bullish Trend”) 10. Gauge: a bar of blocks representing |score|/100 All rows remain visible at all times; changing Dashboard Size only scales text size (Normal, Small, Tiny). ________________________________________ ## 8. Example Usage (Illustrative Scenario) Example: BTCUSD 5 Min 1. Setup: Add “Trend Gauge ” to your BTCUSD 5 Min chart. Defaults: EMAs (8/21), VWMA 14 with lookback 3, volume spike settings, ATR breakout 14/5, HTF = 5m (or adjust to 4H if preferred), ADX threshold 25, ranging weight 0.5, divergence RSI length 14 pivot lookback 5, penalty 0.5, smoothing length 3, thresholds Weak=20, Medium=50, Strong=80. Dashboard Size = Small. 2. Trend Onset: At some point, price breaks above recent high by ATR multiple, volume spikes upward, faster EMA crosses above slower EMA, HTF EMA also bullish, and ADX (manual) ≥ threshold → aggregated score rises above +20 (Weak threshold) into +Medium zone. Dashboard shows “Bull” for EMA, VWMA, Vol Spike, ATR, HTF; Score ~+60–+70; Confidence ~100%; Regime “Trending”; Trend Strength “Medium Bullish Trend”; Gauge ~6–7 blocks. Δ Score histogram bars are green and rising, indicating accelerating bullish momentum. Trader notes the alignment. 3. Divergence Warning: Later, price makes a slightly higher high but RSI fails to confirm (lower RSI high). Pivot lookback completes; the indicator highlights a bearish divergence fill above zero and subtracts a small penalty from the score, causing score to stall or retrace slightly. Dashboard still bullish but score dips toward +Weak. This warns the trader to tighten stops or take partial profits. 4. Trend Weakens: Score eventually crosses below +Weak back into neutral; a “Neutral” label appears, and a “Neutral Trend” alert fires if enabled. Trader exits or avoids new long entries. If score subsequently crosses below –Weak, a “Bearish” label and alert occur. 5. Customization: If the trader finds VWMA noise too frequent on this instrument, they may disable VWMA or increase lookback. If ATR breakouts are too rare, adjust ATR length or multiplier. If ADX threshold seems off, tune threshold. All these adjustments are explained in Inputs section. 6. Visualization: The screenshot shows the main score oscillator with colored areas, reference lines at ±20/50/80, Δ Score histogram bars below/above zero, divergence fill highlighting potential reversal, and the dashboard table in the top-right. ________________________________________ ## 9. Inputs Explanation A concise yet clear summary of inputs helps users understand and adjust: 1. General Settings • Theme (Dark/Light): Choose background-appropriate colors for the indicator pane. • Dashboard Size (Normal/Small/Tiny): Scales text size only; all dashboard elements remain visible. 2. Indicator Settings • Enable EMA Cross: Toggle on/off basic EMA alignment check. o Fast EMA Length and Slow EMA Length: Periods for EMAs. • Enable VWMA Momentum: Toggle VWMA momentum check. o VWMA Length: Period for VWMA. o VWMA Momentum Lookback: Bars to compare VWMA to measure momentum. • Enable Volume Spike: Toggle volume spike detection. o Volume SMA Length: Period to compute average volume. o Volume Spike Multiplier: How many times above average volume qualifies as spike. o Min Price Move (%): Minimum percent change in price during spike to qualify as bullish or bearish. • Enable ATR Breakout: Toggle ATR breakout detection. o ATR Length: Period for ATR. o Breakout Lookback: Bars to look back for recent highs/lows. o ATR Multiplier: Multiplier for breakout threshold. • Enable Higher Timeframe Trend: Toggle HTF EMA alignment. o Higher Timeframe: E.g., “5” for 5-minute when on 1-minute chart, or “60” for 5 Min when on 15m, etc. Uses lookahead_off. • Enable ADX Regime Filter: Toggles regime-based weighting. o ADX Length: Period for manual ADX calculation. o ADX Threshold: Value above which market considered trending. o Ranging Weight Multiplier: Weight applied to trend components when ADX < threshold (e.g., 0.5). • Scale VWMA Momentum: Toggle normalization of VWMA momentum magnitude. o VWMA Mom Scale Lookback: Period for average absolute VWMA momentum. • Scale ATR Breakout Strength: Toggle normalization of breakout distance by ATR. o ATR Scale Cap: Maximum multiple of ATR used for breakout strength. • Enable Price-RSI Divergence: Toggle divergence detection. o RSI Length for Divergence: Period for RSI. o Pivot Lookback for Divergence: Bars on each side to identify pivot high/low. o Divergence Penalty: Amount to subtract/add to score when divergence detected (e.g., 0.5). 3. Score Settings • Smooth Score: Toggle EMA smoothing of normalized score. • Score Smoothing Length: Period for smoothing EMA. • Weak Threshold: Absolute score value under which trend is considered weak or neutral. • Medium Threshold: Score above Weak but below Medium is moderate. • Strong Threshold: Score above this indicates strong trend. 4. Visualization Settings • Show Δ Score Histogram: Toggle display of the bar-to-bar change in score as a histogram. Default true. • Show Divergence Fill: Toggle background fill highlighting confirmed divergences. Default true. Each input has a tooltip in the code. ________________________________________ ## 10. Limitations, Repaint Notes, and Disclaimers 10.1. Repaint & Lag Considerations • Pivot-Based Divergence Lag: The divergence detection uses ta.pivothigh / ta.pivotlow with a specified lookback. By design, a pivot is only confirmed after the lookback number of bars. As a result: o Divergence labels or fills appear with a delay equal to the pivot lookback. o Once the pivot is confirmed and the divergence is detected, the fill/label does not repaint thereafter, but you must understand and accept this lag. o Users should not treat divergence highlights as predictive signals without additional confirmation, because they appear after the pivot has fully formed. • Higher-Timeframe EMA Alignment: Uses request.security(..., lookahead=barmerge.lookahead_off), so no future data from the higher timeframe is used. This avoids lookahead bias and ensures signals are based only on completed higher-timeframe bars. • No Future Data: All calculations are designed to avoid using future information. For example, manual ADX uses RMA on past data; security calls use lookahead_off. 10.2. Market & Noise Considerations • In very choppy or low-liquidity markets, some components (e.g., volume spikes or VWMA momentum) may be noisy. Users can disable or adjust those components’ parameters. • On extremely low timeframes, noise may dominate; consider smoothing lengths or disabling certain features. • On very high timeframes, pivots and breakouts occur less frequently; adjust lookbacks accordingly to avoid sparse signals. 10.3. Not a Standalone Trading System • This is an indicator, not a complete trading strategy. It provides signals and context but does not manage entries, exits, position sizing, or risk management. • Users must combine it with their own analysis, money management, and confirmations (e.g., price patterns, support/resistance, fundamental context). • No guarantees: past behavior does not guarantee future performance. 10.4. Disclaimers • Educational Purposes Only: The script is provided as-is for educational and informational purposes. It does not constitute financial, investment, or trading advice. • Use at Your Own Risk: Trading involves risk of loss. Users should thoroughly test and use proper risk management. • No Guarantees: The author is not responsible for trading outcomes based on this indicator. • License: Published under Mozilla Public License 2.0; code is open for viewing and modification under MPL terms. ________________________________________ ## 11. Alerts • The indicator defines three alert conditions: 1. Bullish Trend: when the aggregated score crosses above the Weak threshold. 2. Bearish Trend: when the score crosses below the negative Weak threshold. 3. Neutral Trend: when the score returns within ±Weak after being outside. Good luck – BullByte
Pine Script® Indikator
von BullByte
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