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Bitcoin Halving Cycle Strategy ProBitcoin Halving Cycle Strategy Pro - Advanced Market Cycle Analysis Tool This professional indicator analyzes Bitcoin's 4-year halving cycles using precise mathematical calculations. It identifies bull and bear market phases based on 500 days before and 560 days after each halving event, providing traders with data-driven market cycle insights. Key Features: • Automatic Bull/Bear Market Zone Detection with color-coded areas • Historical Halving Analysis (2012-2028) with future projections • Live Performance Tracking during bull phases (returns, max drawdown) • Customizable cycle parameters (days before/after halving) • Interactive info table showing current cycle phase and metrics • Visual timeline markers for halving dates and cycle boundaries Perfect for long-term Bitcoin investors, cycle analysts, and traders who want to understand market psychology and timing based on historical halving patterns. Uses proven 1060-day cycle theory backed by empirical data.
مؤشر Pine Script®
من ‎akaLOCKSMITH‎
Aladin Pair Trading System v1Aladin Pair Trading System v1 What is This Indicator? The Aladin Pair Trading System is a sophisticated tool designed to help traders identify profitable opportunities by comparing two related stocks that historically move together. Think of it as finding when one twin is running ahead or lagging behind the other - these moments often present trading opportunities as they tend to return to moving together. Who Should Use This? Beginners: Learn about statistical arbitrage and pair trading Intermediate Traders: Execute mean-reversion strategies with confidence Advanced Traders: Fine-tune parameters for optimal pair relationships Portfolio Managers: Implement market-neutral strategies 💡 What is Pair Trading? Imagine two ice cream shops next to each other. They usually have similar customer traffic because they're in the same area. If one day Shop A is packed while Shop B is empty, you might expect this imbalance to correct itself soon. Pair trading works the same way: You find two stocks that normally move together (like TCS and Infosys) When one stock moves too far from the other, you trade expecting them to realign You buy the lagging stock and sell the leading stock When they come back together, you profit from both sides Key Features 1. Z-Score Analysis What it is: A statistical measure showing how far the price relationship has deviated from normal What it means: Z-Score near 0 = Normal relationship Z-Score at +2 = Stock A is expensive relative to Stock B (Sell A, Buy B) Z-Score at -2 = Stock A is cheap relative to Stock B (Buy A, Sell B) 2. Multiple Timeframe Analysis Long-term Z-Score (300 bars): Shows the big picture trend Short-term Z-Score (100 bars): Shows recent movements Signal Z-Score (20 bars): Generates quick trading signals 3. Statistical Validation The indicator checks if the pair is suitable for trading: Correlation (must be > 0.7): Confirms the stocks move together 1.0 = Perfect positive correlation 0.7 = Strong correlation Below 0.7 = Warning: pair may not be reliable ADF P-Value (should be < 0.05): Tests if the relationship is stable Low value = Good for pair trading High value = Relationship may be random Cointegration: Confirms long-term equilibrium relationship YES = Pair tends to revert to mean NO = Pair may drift apart permanently Visual Elements Explained Chart Zones (Color-Coded Areas) Yellow Zone (-1.5 to +1.5) Normal Zone: Relationship is stable Action: Wait for better opportunities Blue Zone (±1.5 to ±2.0) Entry Zone: Deviation is significant Action: Prepare for potential trades Green/Red Zone (±2.0 to ±3.0) Opportunity Zone: Strong deviation Action: High-probability trade setups Beyond ±3.0 Risk Limit: Extreme deviation Action: Either maximum opportunity or structural break Signal Arrows Green Arrow Up (Buy A + Sell B): Stock A is undervalued relative to B Buy Stock A, Short Stock B Red Arrow Down (Sell A + Buy B): Stock A is overvalued relative to B Sell Stock A, Buy Stock B Settings Guide Symbol Inputs Pair Symbol (Symbol B): Choose the second stock to compare Default: NSE:INFY (Infosys) Example pairs: TCS/INFY, HDFCBANK/ICICIBANK, RELIANCE/ONGC Z-Score Parameters Long Z-Score Period (300): Historical context Short Z-Score Period (100): Recent trend Signal Period (20): Trading signals Z-Score Threshold (2.0): Entry trigger level Higher = Fewer but stronger signals Lower = More frequent signals Statistical Parameters Correlation Period (240): How many bars to check correlation Hurst Exponent Period (50): Measures mean-reversion tendency Probability Lookback (100): Historical probability calculations Trading Parameters Entry Threshold (0.0): Minimum Z-score for entry Risk Threshold (1.5): Warning level Risk Limit (3.0): Maximum deviation to trade How to Use (Step-by-Step) Step 1: Choose Your Pair Add the indicator to your chart (this becomes Stock A) In settings, select Stock B (the comparison stock) Choose stocks from the same sector for best results Step 2: Verify Pair Quality Check the Statistics Table (top-right corner): ✅ Correlation > 0.70 (Green = Good) ✅ ADF P-value < 0.05 (Green = Good) ✅ Cointegrated = YES (Green = Good) If all three are green, the pair is suitable for trading! Step 3: Wait for Signals BUY SIGNAL (Green Arrow Up) Z-Score crosses above -2.0 Action: Buy Stock A, Sell Stock B Exit: When Z-Score returns to 0 SELL SIGNAL (Red Arrow Down) Z-Score crosses below +2.0 Action: Sell Stock A, Buy Stock B Exit: When Z-Score returns to 0 Step 4: Risk Management Yellow Zone: Monitor only Blue Zone: Prepare for entry Green/Red Zone: Active trading zone Beyond ±3.0: Maximum risk - use caution ⚠️ Important Warnings Not All Pairs Work: Always check the statistics table first Market Conditions Matter: Correlation can break during market stress Use Stop Losses: Set stops at Z-Score ±3.5 or beyond Position Sizing: Trade both legs with appropriate hedge ratios Transaction Costs: Factor in brokerage and slippage for both stocks Example Trade Scenario: TCS vs INFOSYS Correlation: 0.85 ✅ Z-Score: -2.3 (TCS is cheap vs INFY) Action to be taken: Buy 1lot of TCS Future Sell 1lot of INFOSYS Future Expected Outcome: As Z-Score moves toward 0, TCS outperforms INFOSYS Close both positions when Z-Score crosses 0 Profit from the convergence Best Practices Test Before Trading: Use paper trading first Sector Focus: Choose pairs from the same industry Monitor Statistics: Check correlation daily Avoid News Events: Don't trade pairs during earnings/major news Size Appropriately: Start small, scale with experience Be Patient: Wait for high-quality setups (±2.0 or beyond) What Makes This Indicator Unique? Multi-timeframe Z-Score analysis: Three different perspectives Statistical validation: Built-in correlation and cointegration tests Visual risk zones: Easy-to-understand color-coded areas Real-time statistics: Live pair quality monitoring Beginner-friendly: Clear signals with educational zones Technical Background The indicator uses: Engle-Granger Cointegration Test: Validates pair relationship ADF (Augmented Dickey-Fuller) Test: Tests stationarity Pearson Correlation: Measures linear relationship Z-Score Normalization: Standardizes deviations Log Returns: Handles price differences properly Support & Community For questions, suggestions, or to share your pair trading experiences: Comment below the indicator Share your successful pair combinations Report any issues for quick fixes Disclaimer This indicator is for educational and informational purposes only. It does not constitute financial advice. Pair trading involves risk, including the risk of loss. Always: Do your own research Understand the risks Trade with money you can afford to lose Consider consulting a financial advisor 📌 Quick Reference Card Z-ScoreInterpretationAction-3.0 to -2.0A very cheap vs BStrong Buy A, Sell B-2.0 to -1.5A cheap vs BBuy A, Sell B-1.5 to +1.5Normal rangeHold/Wait+1.5 to +2.0A expensive vs BSell A, Buy B+2.0 to +3.0A very expensive vs BStrong Sell A, Buy B Good Pair Statistics: Correlation: > 0.70 ADF P-value: < 0.05 Cointegration: YES Version: 1.0 Last Updated: 10th October 2025 Compatible: TradingView Pine Script v6 Happy Trading!
مؤشر Pine Script®
من ‎kingshukghosh71‎
4
JK_Traders_Reality_LibLibrary "JK_Traders_Reality_Lib" This library contains common elements used in Traders Reality scripts calcPvsra(pvsraVolume, pvsraHigh, pvsraLow, pvsraClose, pvsraOpen, redVectorColor, greenVectorColor, violetVectorColor, blueVectorColor, darkGreyCandleColor, lightGrayCandleColor)   calculate the pvsra candle color and return the color as well as an alert if a vector candle has apperared. Situation "Climax" Bars with volume >= 200% of the average volume of the 10 previous chart TFs, or bars where the product of candle spread x candle volume is >= the highest for the 10 previous chart time TFs. Default Colors: Bull bars are green and bear bars are red. Situation "Volume Rising Above Average" Bars with volume >= 150% of the average volume of the 10 previous chart TFs. Default Colors: Bull bars are blue and bear are violet.   Parameters:      pvsraVolume (float) : the instrument volume series (obtained from request.sequrity)      pvsraHigh (float) : the instrument high series (obtained from request.sequrity)      pvsraLow (float) : the instrument low series (obtained from request.sequrity)      pvsraClose (float) : the instrument close series (obtained from request.sequrity)      pvsraOpen (float) : the instrument open series (obtained from request.sequrity)      redVectorColor (simple color) : red vector candle color      greenVectorColor (simple color) : green vector candle color      violetVectorColor (simple color) : violet/pink vector candle color      blueVectorColor (simple color) : blue vector candle color      darkGreyCandleColor (simple color) : regular volume candle down candle color - not a vector      lightGrayCandleColor (simple color) : regular volume candle up candle color - not a vector @return adr(length, barsBack)   Parameters:      length (simple int) : how many elements of the series to calculate on      barsBack (simple int) : starting possition for the length calculation - current bar or some other value eg last bar @return adr the adr for the specified lenght adrHigh(adr, fromDo)   Calculate the ADR high given an ADR   Parameters:      adr (float) : the adr      fromDo (simple bool) : boolean flag, if false calculate traditional adr from high low of today, if true calcualte from exchange midnight @return adrHigh the position of the adr high in price adrLow(adr, fromDo)   Parameters:      adr (float) : the adr      fromDo (simple bool) : boolean flag, if false calculate traditional adr from high low of today, if true calcualte from exchange midnight @return adrLow the position of the adr low in price splitSessionString(sessXTime)   given a session in the format 0000-0100:23456 split out the hours and minutes   Parameters:      sessXTime (simple string) : the session time string usually in the format 0000-0100:23456 @return calcSessionStartEnd(sessXTime, gmt)   calculate the start and end timestamps of the session   Parameters:      sessXTime (simple string) : the session time string usually in the format 0000-0100:23456      gmt (simple string) : the gmt offset string usually in the format GMT+1 or GMT+2 etc @return drawOpenRange(sessXTime, sessXcol, showOrX, gmt)   draw open range for a session   Parameters:      sessXTime (simple string) : session string in the format 0000-0100:23456      sessXcol (simple color) : the color to be used for the opening range box shading      showOrX (simple bool) : boolean flag to toggle displaying the opening range      gmt (simple string) : the gmt offset string usually in the format GMT+1 or GMT+2 etc @return void drawSessionHiLo(sessXTime, showRectangleX, showLabelX, sessXcolLabel, sessXLabel, gmt, sessionLineStyle)   Parameters:      sessXTime (simple string) : session string in the format 0000-0100:23456      showRectangleX (simple bool)      showLabelX (simple bool)      sessXcolLabel (simple color) : the color to be used for the hi/low lines and label      sessXLabel (simple string) : the session label text      gmt (simple string) : the gmt offset string usually in the format GMT+1 or GMT+2 etc      sessionLineStyle (simple string) : the line stile for the session high low lines @return void calcDst()   calculate market session dst on/off flags @return indicating if DST is on or off for a particular region timestampPreviousDayOfWeek(previousDayOfWeek, hourOfDay, gmtOffset, oneWeekMillis)   Timestamp any of the 6 previous days in the week (such as last Wednesday at 21 hours GMT)   Parameters:      previousDayOfWeek (simple string) : Monday or Satruday      hourOfDay (simple int) : the hour of the day when psy calc is to start      gmtOffset (simple string) : the gmt offset string usually in the format GMT+1 or GMT+2 etc      oneWeekMillis (simple int) : the amount if time for a week in milliseconds @return the timestamp of the psy level calculation start time getdayOpen()   get the daily open - basically exchange midnight @return the daily open value which is float price newBar(res)   new_bar: check if we're on a new bar within the session in a given resolution   Parameters:      res (simple string) : the desired resolution @return true/false is a new bar for the session has started toPips(val)   to_pips Convert value to pips   Parameters:      val (float) : the value to convert to pips @return the value in pips rLabel(ry, rtext, rstyle, rcolor, valid, labelXOffset)   a function that draws a right aligned lable for a series during the current bar   Parameters:      ry (float) : series float the y coordinate of the lable      rtext (simple string) : the text of the label      rstyle (simple string) : the style for the lable      rcolor (simple color) : the color for the label      valid (simple bool) : a boolean flag that allows for turning on or off a lable      labelXOffset (int) : how much to offset the label from the current position rLabelOffset(ry, rtext, rstyle, rcolor, valid, labelOffset)   a function that draws a right aligned lable for a series during the current bar   Parameters:      ry (float) : series float the y coordinate of the lable      rtext (string) : the text of the label      rstyle (simple string) : the style for the lable      rcolor (simple color) : the color for the label      valid (simple bool) : a boolean flag that allows for turning on or off a lable      labelOffset (int) rLabelLastBar(ry, rtext, rstyle, rcolor, valid, labelXOffset)   a function that draws a right aligned lable for a series only on the last bar   Parameters:      ry (float) : series float the y coordinate of the lable      rtext (string) : the text of the label      rstyle (simple string) : the style for the lable      rcolor (simple color) : the color for the label      valid (simple bool) : a boolean flag that allows for turning on or off a lable      labelXOffset (int) : how much to offset the label from the current position drawLine(xSeries, res, tag, xColor, xStyle, xWidth, xExtend, isLabelValid, xLabelOffset, validTimeFrame)   a function that draws a line and a label for a series   Parameters:      xSeries (float) : series float the y coordinate of the line/label      res (simple string) : the desired resolution controlling when a new line will start      tag (simple string) : the text for the lable      xColor (simple color) : the color for the label      xStyle (simple string) : the style for the line      xWidth (simple int) : the width of the line      xExtend (simple string) : extend the line      isLabelValid (simple bool) : a boolean flag that allows for turning on or off a label      xLabelOffset (int)      validTimeFrame (simple bool) : a boolean flag that allows for turning on or off a line drawn drawLineDO(xSeries, res, tag, xColor, xStyle, xWidth, xExtend, isLabelValid, xLabelOffset, validTimeFrame)   a function that draws a line and a label for the daily open series   Parameters:      xSeries (float) : series float the y coordinate of the line/label      res (simple string) : the desired resolution controlling when a new line will start      tag (simple string) : the text for the lable      xColor (simple color) : the color for the label      xStyle (simple string) : the style for the line      xWidth (simple int) : the width of the line      xExtend (simple string) : extend the line      isLabelValid (simple bool) : a boolean flag that allows for turning on or off a label      xLabelOffset (int)      validTimeFrame (simple bool) : a boolean flag that allows for turning on or off a line drawn drawPivot(pivotLevel, res, tag, pivotColor, pivotLabelColor, pivotStyle, pivotWidth, pivotExtend, isLabelValid, validTimeFrame, levelStart, pivotLabelXOffset)   draw a pivot line - the line starts one day into the past   Parameters:      pivotLevel (float) : series of the pivot point      res (simple string) : the desired resolution      tag (simple string) : the text to appear      pivotColor (simple color) : the color of the line      pivotLabelColor (simple color) : the color of the label      pivotStyle (simple string) : the line style      pivotWidth (simple int) : the line width      pivotExtend (simple string) : extend the line      isLabelValid (simple bool) : boolean param allows to turn label on and off      validTimeFrame (simple bool) : only draw the line and label at a valid timeframe      levelStart (int) : basically when to start drawing the levels      pivotLabelXOffset (int) : how much to offset the label from its current postion @return the pivot line series getPvsraFlagByColor(pvsraColor, redVectorColor, greenVectorColor, violetVectorColor, blueVectorColor, lightGrayCandleColor)   convert the pvsra color to an internal code   Parameters:      pvsraColor (color) : the calculated pvsra color      redVectorColor (simple color) : the user defined red vector color      greenVectorColor (simple color) : the user defined green vector color      violetVectorColor (simple color) : the user defined violet vector color      blueVectorColor (simple color) : the user defined blue vector color      lightGrayCandleColor (simple color) : the user defined regular up candle color @return pvsra internal code updateZones(pvsra, direction, boxArr, maxlevels, pvsraHigh, pvsraLow, pvsraOpen, pvsraClose, transperancy, zoneupdatetype, zonecolor, zonetype, borderwidth, coloroverride, redVectorColor, greenVectorColor, violetVectorColor, blueVectorColor)   a function that draws the unrecovered vector candle zones   Parameters:      pvsra (int) : internal code      direction (simple int) : above or below the current pa      boxArr (array) : the array containing the boxes that need to be updated      maxlevels (simple int) : the maximum number of boxes to draw      pvsraHigh (float) : the pvsra high value series      pvsraLow (float) : the pvsra low value series      pvsraOpen (float) : the pvsra open value series      pvsraClose (float) : the pvsra close value series      transperancy (simple int) : the transparencfy of the vecor candle zones      zoneupdatetype (simple string) : the zone update type      zonecolor (simple color) : the zone color if overriden      zonetype (simple string) : the zone type      borderwidth (simple int) : the width of the border      coloroverride (simple bool) : if the color overriden      redVectorColor (simple color) : the user defined red vector color      greenVectorColor (simple color) : the user defined green vector color      violetVectorColor (simple color) : the user defined violet vector color      blueVectorColor (simple color) : the user defined blue vector color cleanarr(arr)   clean an array from na values   Parameters:      arr (array) : the array to clean @return if the array was cleaned calcPsyLevels(oneWeekMillis, showPsylevels, psyType, sydDST)   calculate the psy levels 4 hour res based on how mt4 does it mt4 code int Li_4 = iBarShift(NULL, PERIOD_H4, iTime(NULL, PERIOD_W1, Li_0)) - 2 - Offset; ObjectCreate("PsychHi", OBJ_TREND, 0, Time , iHigh(NULL, PERIOD_H4, iHighest(NULL, PERIOD_H4, MODE_HIGH, 2, Li_4)), iTime(NULL, PERIOD_W1, 0), iHigh(NULL, PERIOD_H4, iHighest(NULL, PERIOD_H4, MODE_HIGH, 2, Li_4))); so basically because the session is 8 hours and we are looking at a 4 hour resolution we only need to take the highest high an lowest low of 2 bars we use the gmt offset to adjust the 0000-0800 session to Sydney open which is at 2100 during dst and at 2200 otherwize. (dst - spring foward, fall back) keep in mind sydney is in the souther hemisphere so dst is oposite of when london and new york go into dst   Parameters:      oneWeekMillis (simple int) : a constant value      showPsylevels (simple bool) : should psy levels be calculated      psyType (simple string) : the type of Psylevels - crypto or forex      sydDST (bool) : is Sydney in DST @return adrHiLo(length, barsBack, fromDO)   Parameters:      length (simple int) : how many elements of the series to calculate on      barsBack (simple int) : starting possition for the length calculation - current bar or some other value eg last bar      fromDO (simple bool) : boolean flag, if false calculate traditional adr from high low of today, if true calcualte from exchange midnight @return adr, adrLow and adrHigh - the adr, the position of the adr High and adr Low with respect to price drawSessionHiloLite(sessXTime, showRectangleX, showLabelX, sessXcolLabel, sessXLabel, gmt, sessionLineStyle, sessXcol)   Parameters:      sessXTime (simple string) : session string in the format 0000-0100:23456      showRectangleX (simple bool)      showLabelX (simple bool)      sessXcolLabel (simple color) : the color to be used for the hi/low lines and label      sessXLabel (simple string) : the session label text      gmt (simple string) : the gmt offset string usually in the format GMT+1 or GMT+2 etc      sessionLineStyle (simple string) : the line stile for the session high low lines      sessXcol (simple color) : - the color for the box color that will color the session @return void msToHmsString(ms)   converts milliseconds into an hh:mm string. For example, 61000 ms to '0:01:01'   Parameters:      ms (int) : - the milliseconds to convert to hh:mm @return string - the converted hh:mm string countdownString(openToday, closeToday, showMarketsWeekends, oneDay)   that calculates how much time is left until the next session taking the session start and end times into account. Note this function does not work on intraday sessions.   Parameters:      openToday (int) : - timestamps of when the session opens in general - note its a series because the timestamp was created using the dst flag which is a series itself thus producing a timestamp series      closeToday (int) : - timestamp of when the session closes in general - note its a series because the timestamp was created using the dst flag which is a series itself thus producing a timestamp series @return a countdown of when next the session opens or 'Open' if the session is open now      showMarketsWeekends (simple bool)      oneDay (simple int) countdownStringSyd(sydOpenToday, sydCloseToday, showMarketsWeekends, oneDay)   that calculates how much time is left until the next session taking the session start and end times into account. special case of intraday sessions like sydney   Parameters:      sydOpenToday (int)      sydCloseToday (int)      showMarketsWeekends (simple bool)      oneDay (simple int)
مكتبة Pine Script®
من ‎Justas123‎
1
SJA WINFUT B3-10 INDICATOR FOR WINFUT B3 – 5-minute chart. This indicator was designed to trade the Bovespa index futures contract (WINFUT) on the 5-minute chart. It integrates technical analysis and macroeconomic context elements. It combines several indicators in which the system calculates a score weighted by color and intensity for each indicator, generating a metric called “STRENGTH %,” which reflects the dominance of buyers (green), sellers (red), or sideways movement (orange) at the moment. The calculation is adapted to market hours: Between 9:00 a.m. and 9:59 a.m., it considers only the available indicators; after 10:00 a.m., it uses all data. The panel displays real-time information, including divergences between strength and price, providing robust decision support for short-term operations on the mini index. Buying trend. The more green indicators (at the top of the panel) and dark blue indicators (at the bottom of the panel) and the higher the strength percentage, the greater the probability of buying. Selling trend. The more red indicators (at the top of the panel) and dark blue indicators (at the bottom of the panel) and the higher the strength percentage, the greater the probability of selling. Translated with DeepL.com (free version)
مؤشر Pine Script®
من ‎sandrojacicero‎
FOREXSOM Session Boxes (Local Time) — Asian, London & New YorkFOREXSOM Session Boxes (Local Time) highlights the three major Forex sessions — Asian, London, and New York — using your chart’s local timezone automatically. This indicator helps traders visualize market structure, liquidity zones, and timing across global trading hours with accuracy and clarity. Key Features Automatically adjusts to your chart’s local timezone Highlights Asian, London, and New York sessions with clean color zones Works on all timeframes and asset classes Ideal for Smart Money Concepts (SMC), ICT, and price action strategies Helps identify range breakouts, session highs/lows, and liquidity grabs How It Works Each session box updates in real time to show the current range as the market develops. The boxes reset at the end of each session, making it easy to compare volatility and liquidity shifts between regions. Sessions (default times): Asian: 17:00 – 03:00 London: 02:00 – 11:00 New York: 07:00 – 16:00 How to Use Add the indicator to your chart. Ensure your chart timezone matches your local time in chart settings. Watch session ranges form and look for liquidity sweeps or breakouts between overlaps (London/New York). Created by FOREXSOM Empowering traders worldwide with precision-built tools for Smart Money and institutional trading education.
مؤشر Pine Script®
من ‎FOREXSOM‎
Simple Custom Watermark & Symbol Info ジAdd a clean, configurable watermark to any chart. This lightweight indicator displays a custom name or brand plus optional symbol, timeframe, and current date in any corner of the chart. Perfect for traders, streamers, analysts, and content creators who want consistent chart branding, fast timestamps, or tidy screenshots. Key features Custom watermark text (brand, username, or logo text) Toggle display of Symbol, Timeframe, and Date Choose position: Top/Bottom × Left/Center/Right Text color, background color (with alpha) and text size (small/normal/large) Ultra-light, overlay-only — no chart clutter or extra objects Why use it Professionalize screenshots and shared charts with consistent branding Add automatic timestamps to charts for auditability or content posts Useful for streaming, educational content, reports, or trading journals Minimal footprint keeps the chart readable while adding essential metadata How traders use it Add your name/handle for attribution on social posts Show timeframe & symbol automatically when switching charts Use date stamp for sessions, reports, and evidence of analysis timing Built for clarity, speed, and clean visuals. Simple to configure — drop it on any chart and customize the watermark to match your workflow.
مؤشر Pine Script®
من ‎archiedurrant‎
Multi Brownian Forecast📊 Multi Brownian Forecast (Time-Adaptive, Probabilistic) This indicator uses a sophisticated Geometric Brownian Motion (GBM) Monte Carlo simulation to project future price paths. It adapts to any chart timeframe and provides quantitative, multi-period probability signals. --- 🧠 Core Mathematical Methodology The model relies on GBM, which is a continuous-time stochastic process that models asset prices. 1. Historical Analysis (Drift & Volatility): * The script first calculates Logarithmic Returns over a user-defined Historical Lookback (Hours) . * Drift ($\mu$): Computed as the average of the log returns. * Volatility ($\sigma$): Computed as the standard deviation of the log returns. * These values are then time-adapted to an hourly step, compensating for the chart's current timeframe (e.g., 5-minute, 1-hour). 2. Monte Carlo Simulation: * It runs a specified Number of Simulations (e.g., 1000). * For each simulation, the price is stepped forward hourly using the GBM formula, which incorporates the calculated drift and a random shock drawn from a normal distribution (generated via the Box-Muller transform ). --- ✨ Key Features Probabilistic Quartile Forecast: Plots a dynamic "cone" of probability on the chart. It shows key price percentiles (Q1, Q2/Median, Q3, and Q4/Outer Bound) at the forecast's expiration, visualizing the expected range of price outcomes based on the simulations. Multi-Period Probability Signals: This is the core signal feature. Users can define multiple, independent forecast periods (e.g., 4h, 16h, 48h) in a comma-separated list. * For each period, a Probability Up and Probability Down is calculated based on hitting a custom Target Price Change (%) (e.g., 2%) at a certain confidence level given a simulation over the historical backlook. * The probabilities are displayed in a chart table. The cell text turns white if the calculated probability exceeds the user-defined Signal Confidence (%) . Conditional Fibonacci Retracement: Optionally displays a Fibonacci Retracement on the chart. This feature is only activated when one of the multi-period signals reaches its minimum confidence threshold, providing a contextual technical level when a probabilistic edge is found.
مؤشر Pine Script®
من ‎mattimeo_mouse‎
Advanced HMM - 3 States CompleteHidden Markov Model Aconsistent challenge for quantitative traders is the frequent behaviour modification of financial markets, often abruptly, due to changing periods of government policy, regulatory environment and other macroeconomic effects. Such periods are known as market regimes. Detecting such changes is a common, albeit difficult, process undertaken by quantitative market participants. These various regimes lead to adjustments of asset returns via shifts in their means, variances, autocorrelation and covariances. This impacts the effectiveness of time series methods that rely on stationarity. In particular it can lead to dynamically-varying correlation, excess kurtosis ("fat tails"), heteroskedasticity (volatility clustering) and skewed returns. There is a clear need to effectively detect these regimes. This aids optimal deployment of quantitative trading strategies and tuning the parameters within them. The modeling task then becomes an attempt to identify when a new regime has occurred adjusting strategy deployment, risk management and position sizing criteria accordingly. A principal method for carrying out regime detection is to use a statistical time series tech nique known as a Hidden Markov Model . These models are well-suited to the task since they involve inference on "hidden" generative processes via "noisy" indirect observations correlated to these processes. In this instance the hidden, or latent, process is the underlying regime state, while the asset returns are the indirect noisy observations that are influenced by these states.
مؤشر Pine Script®
من ‎Limitedterminator‎
Smart Money Volume Activity [AlgoAlpha]🟠 OVERVIEW This tool visualizes how Smart Money and Retail participants behave through lower-timeframe volume analysis. It detects volume spikes far beyond normal activity, classifies them as institutional or retail, and projects those zones as reactive levels. The script updates dynamically with each bar, showing when large players enter while tracking whether those events remain profitable. Each event is drawn as a horizontal line with bubble markers and summarized in a live P/L table comparing Smart Money versus Retail. 🟠 CONCEPTS The core logic uses Z-score normalization on lower-timeframe volumes (like 5m inside a 1h chart). This lets the script detect statistically extreme bursts of buying or selling activity. It classifies each detected event as: Smart Money — volume inside the candle body (suggesting hidden accumulation or distribution) Retail — volume closing at bar extremes (suggesting chase entries or panic exits) When new events appear, the script plots them as horizontal levels that persist until price interacts again. Each level acts as a potential reaction zone or liquidity footprint. The integrated P/L table then measures which class (Retail or Smart Money) is currently “winning” — comparing cumulative profitable versus losing volume. 🟠 FEATURES Classifies flows into Smart Money or Retail based on candle-body context. Displays live P/L comparison table for Smart vs Retail performance. Alerts for each detected Smart or Retail buy/sell event. 🟠 USAGE Setup : Add the script to any chart. Set Lower Timeframe Value (e.g., “5” for 5m) smaller than your main chart timeframe. The Period input controls how many bars are analyzed for the Z-score baseline. The Threshold (|Z|) decides how extreme a volume must be to plot a level. Read the chart : Horizontal lines mark where heavy Smart or Retail volume occurred. Bright bubbles show the strongest events — their size reflects Z-score intensity. The on-chart table updates live: green cells show profitable flows, red cells show losing flows. A dominant green Smart Money row suggests institutions are currently controlling price. See what others are doing : Settings that matter : Raising Threshold (|Z|) filters noise, showing only large players. Increasing Period smooths results but reacts slower to new bursts. Use Show = “Both” for full comparison or isolate “Smart Money” / “Retail” to focus on one class.
مؤشر Pine Script®
من ‎AlgoAlpha‎
33
Robirop Float & Liquidity Dashboard 3Suomi — tiivistelmä Taulukko, joka näyttää keskeiset float- ja likviditeettimittarit intrapäivässä ja päivätasolla. Sisältö: Market Cap, All Shares, Free Float (kpl), Free Float %, Float Rotation (päivän kum. vol / free float), Day Change (% eilisen closesta), Cum Vol (D), Avg Vol, Cum $ Vol (D), Avg $ Vol. Asetukset: taulukon sijainti, koko ja värit. LoD-kentät voi kytkeä päälle/pois. ADR ja Proj. Vol ovat oletuksena pois. Huom: Day Change vertaa aina nykyhintaa edellisen regular session -closeen; Market Cap käyttää ensin financial-dataa, muuten (All Shares × daily close). English — summary A compact table showing core float & liquidity metrics for intraday and daily context. Includes: Market Cap, All Shares, Free Float (shares), Free Float %, Float Rotation (day cumulative vol / free float), Day Change (% vs prior close), Cum Vol (D), Avg Vol, Cum $ Vol (D), Avg $ Vol. Options: table position, size, colors. LoD fields can be toggled on/off. ADR and Projected Volume are OFF by default. Note: Day Change compares current price to the previous regular-session close; Market Cap uses financial data first, otherwise (All Shares × daily close).
مؤشر Pine Script®
من ‎Robirop‎
Market Structure Report Library [TradingFinder]🔵 Introduction Market Structure is one of the most fundamental concepts in Price Action and Smart Money theory. In simple terms, it represents how price moves between highs and lows and reveals which phase of the market cycle we are currently in uptrend, downtrend, or transition. Each structure in the market is formed by a combination of Breaks of Structure (BoS) and Changes of Character (CHoCH) : BoS occurs when the market breaks a previous high or low, confirming the continuation of the current trend. CHoCH occurs when price breaks in the opposite direction for the first time, signaling a potential trend reversal. Since price movement is inherently fractal, market structure can be analyzed on two distinct levels : Major / External Structure: represents the dominant macro trend. Minor / Internal Structure: represents corrective or smaller-scale movements within the larger trend. 🔵 Library Purpose The “Market Structure Report Library” is designed to automatically detect the current market structure type in real time. Without drawing or displaying any visuals, it analyzes raw price data and returns a series of logical and textual outputs (Return Values) that describe the current structural state of the market. It provides the following information : Trend Type : External Trend (Major): Up Trend, Down Trend, No Trend Internal Trend (Minor): Up Trend, Down Trend, No Trend Structure Type : BoS : Confirms trend continuation CHoCH : Indicates a potential trend reversal Consecutive BoS Counter : Measures trend strength on both Major and Minor levels. Candle Type : Returns the current candle’s condition(Bullish, Bearish, Doji) This library is specifically designed for use in Smart Money–based screeners, indicators, and algorithmic strategies. It can analyze multiple symbols and timeframes simultaneously and return the exact structure type (BoS or CHoCH) and trend direction for each. 🔵 Function Outputs The function MS() processes the price data and returns seven key outputs, each representing a distinct structural state of the market. These values can be used in indicators, strategies, or multi-symbol screeners. 🟣 ExternalTrend Type : string Description : Represents the direction of the Major (External) market structure. Possible values : Up Trend Down Trend No Trend This is determined based on the behavior of Major Pivots (swing highs/lows). 🟣 InternalTrend Type : string Description : Represents the direction of the Minor (Internal) market structure. Possible values : Up Trend Down Trend No Trend 🟣 M_State Type : string Description : Specifies the type of the latest Major Structure event. Possible values : BoS CHoCH 🟣 m_State Type : string Description : Specifies the type of the latest Minor Structure event. Possible values : BoS CHoCH 🟣 MBoS_Counter Type : integer Description : Counts the number of consecutive structural breaks (BoS) in the Major structure. Useful for evaluating trend strength : Increasing count: indicates trend continuation. Reset to zero: typically occurs after a CHoCH. 🟣 mBoS_Counter Type : integer Description : Counts the number of consecutive structural breaks in the Minor structure. Helps analyze the micro structure of the market on lower timeframes. Higher value : strong internal trend. Reset : indicates a minor pullback or reversal. 🟣 Candle_Type Type : string Description : Represents the type of the current candle. Possible values : Bullish Bearish Doji import TFlab/Market_Structure_Report_Library_TradingFinder/1 as MSS PP = input.int (5 , 'Market Structure Pivot Period' , group = 'Symbol 1' ) = MSS.MS(PP)
مكتبة Pine Script®
من ‎TFlab‎
4
PnL PortfolioThis indicator provides a comprehensive, real-time overview of your open trading portfolio directly on the chart. It allows you to track up to 20 different trading pairs simultaneously. For each asset, simply input the Pair Symbol, Average Entry Price, and Position Quantity. The script securely fetches the current market price and dynamically calculates and displays a customizable table showing: Real-Time Profit/Loss ($) Percentage PnL (%) Entry Price and Position Quantity The table uses color coding to clearly highlight profitable (green) or losing (red) positions, and its location on the chart (top/bottom, left/right) is fully adjustable.
مؤشر Pine Script®
من ‎ikbenmax‎
PnL TrackerThis script allows you to manually input the details for up to 64 unique positions in the settings, each requiring a Symbol, Average Cost, and Quantity (Qty). Key Features: Average Cost Line: Plots a horizontal line on the chart corresponding to your recorded Average Cost for the security currently being viewed. Real-Time PnL Label: A dynamic label attached to the Average Cost line provides an instant summary of your PnL in both percentage and currency for the last visible bar. Detailed PnL Box: Displays a consolidated, easy-to-read table in the bottom-right corner of the chart, clearly showing: The Symbol and Quantity of your position. Your Average Cost. The current PnL in percentage (%) and base currency (e.g., USD, EUR). Visibility Controls: Toggles in the settings allow you to show or hide the Average Cost line and the PnL summary box independently. This tool is perfect for actively managing and visualizing your multi-asset portfolio positions without leaving your main trading chart. Simply enter your positions in the indicator's settings, and the script will automatically track the PnL for the symbol matching the current chart.
مؤشر Pine Script®
من ‎ikbenmax‎
PnL PortfolioThis script allows you to input the details for up to 20 active positions across various trading pairs or markets. Stop manually calculating your trades—get instant, real-time feedback on your performance. Key Features: Multi-Pair Tracking: Monitor up to 20 unique symbols simultaneously. Required Inputs: Easily define the Symbol, Entry Price, and Position Quantity (size) for each trade in the indicator settings. Real-Time PnL: Instantly calculates and displays two critical metrics based on the current market price: % PnL (Percentage Profit/Loss) Absolute Profit/Loss (in currency) Color-Coded Feedback: The PnL columns are color-coded (green/teal for profit, red/maroon for loss) for immediate visual confirmation of your trade health. Customizable Layout: Choose where the dashboard table appears on your chart (top-left, top-right, bottom-left, or bottom-right) to keep your trading view clean. This is an essential overlay for any trader managing multiple active positions and needing a consolidated, easy-to-read overview.
مؤشر Pine Script®
من ‎ikbenmax‎
Delta Volume Heatmap🔥 Delta Volume Heatmap The Delta Volume Heatmap visualizes the real-time strength of per-bar delta volume — highlighting the imbalance between buying and selling pressure. Each column’s color intensity reflects how strong the delta volume deviates from its moving average and standard deviation. 🟩 Green tones = Buy-dominant activity (bullish imbalance) 🟥 Red tones = Sell-dominant activity (bearish imbalance) This tool helps traders quickly identify: Abnormal volume spikes Absorption or exhaustion zones Potential reversal or continuation signals
مؤشر Pine Script®
من ‎ryanli38572331‎
First Passage Time - Distribution AnalysisThe First Passage Time (FPT) Distribution Analysis indicator is a sophisticated probabilistic tool that answers one of the most critical questions in trading: "How long will it take for price to reach my target, and what are the odds of getting there first?" Unlike traditional technical indicators that focus on what might happen, this indicator tells you when it's likely to happen. Mathematical Foundation: First Passage Time Theory What is First Passage Time? First Passage Time (FPT) is a concept in stochastic processes that measures the time it takes for a random process to reach a specific threshold for the first time. Originally developed in physics and mathematics, FPT has applications in: Quantitative Finance: Option pricing, risk management, and algorithmic trading Neuroscience: Modeling neural firing patterns Biology: Population dynamics and disease spread Engineering: Reliability analysis and failure prediction The Mathematics Behind It This indicator uses Geometric Brownian Motion (GBM), the same stochastic model used in the Black-Scholes option pricing formula: dS = μS dt + σS dW Where: S = Asset price μ = Drift (trend component) σ = Volatility (uncertainty component) dW = Wiener process (random walk) Through Monte Carlo simulation, the indicator runs 1,000+ price path simulations to statistically determine: When each threshold (+X% or -X%) is likely to be hit Which threshold is hit first (directional bias) How often each scenario occurs (probability distribution) 🎯 How This Indicator Works Core Algorithm Workflow: Calculate Historical Statistics Measures recent price volatility (standard deviation of log returns) Calculates drift (average directional movement) Annualizes these metrics for meaningful comparison Run Monte Carlo Simulations Generates 1,000+ random price paths based on historical behavior Tracks when each path hits the upside (+X%) or downside (-X%) threshold Records which threshold was hit first in each simulation Aggregate Statistical Results Calculates percentile distributions (10th, 25th, 50th, 75th, 90th) Computes "first hit" probabilities (upside vs downside) Determines average and median time-to-target Visual Representation Displays thresholds as horizontal lines Shows gradient risk zones (purple-to-blue) Provides comprehensive statistics table 📈 Use Cases 1. Options Trading Selling Options: Determine if your strike price is likely to be hit before expiration Buying Options: Estimate probability of reaching profit targets within your time window Time Decay Management: Compare expected time-to-target vs theta decay Example: You're considering selling a 30-day call option 5% out of the money. The indicator shows there's a 72% chance price hits +5% within 12 days. This tells you the trade has high assignment risk. 2. Swing Trading Entry Timing: Wait for higher probability setups when directional bias is strong Target Setting: Use median time-to-target to set realistic profit expectations Stop Loss Placement: Understand probability of hitting your stop before target Example: The indicator shows 85% upside probability with median time of 3.2 days. You can confidently enter long positions with appropriate position sizing. 3. Risk Management Position Sizing: Larger positions when probability heavily favors one direction Portfolio Allocation: Reduce exposure when probabilities are near 50/50 (high uncertainty) Hedge Timing: Know when to add protective positions based on downside probability Example: Indicator shows 55% upside vs 45% downside—nearly neutral. This signals high uncertainty, suggesting reduced position size or wait for better setup. 4. Market Regime Detection Trending Markets: High directional bias (70%+ one direction) Range-bound Markets: Balanced probabilities (45-55% both directions) Volatility Regimes: Compare actual vs theoretical minimum time Example: Consistent 90%+ bullish bias across multiple timeframes confirms strong uptrend—stay long and avoid counter-trend trades. First Hit Rate (Most Important!) Shows which threshold is likely to be hit FIRST: Upside %: Probability of hitting upside target before downside Downside %: Probability of hitting downside target before upside These always sum to 100% ⚠️ Warning: If you see "Low Hit Rate" warning, increase this parameter! Advanced Parameters Drift Mode Allows you to explore different scenarios: Historical: Uses actual recent trend (default—most realistic) Zero (Neutral): Assumes no trend, only volatility (symmetric probabilities) 50% Reduced: Dampens trend effect (conservative scenario) Use Case: Switch to "Zero (Neutral)" to see what happens in a pure volatility environment, useful for range-bound markets. Distribution Type Percentile: Shows 10%, 25%, 50%, 75%, 90% levels (recommended for most users) Sigma: Shows standard deviation levels (1σ, 2σ)—useful for statistical analysis ⚠️ Important Limitations & Best Practices Limitations Assumes GBM: Real markets have fat tails, jumps, and regime changes not captured by GBM Historical Parameters: Uses recent volatility/drift—may not predict regime shifts No Fundamental Events: Cannot predict earnings, news, or macro shocks Computational: Runs only on last bar—doesn't give historical signals Remember: Probabilities are not certainties. Use this indicator as part of a comprehensive trading plan with proper risk management. Created by: Henrique Centieiro. feedback is more than welcome!
مؤشر Pine Script®
من ‎HenriqueCentieiro‎
5