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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)
Penunjuk Pine Script®
oleh sandrojacicero
SJA WINFUT B3-BRINDICATOR 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.
Penunjuk Pine Script®
oleh sandrojacicero
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)
Perpustakaan Pine Script®
oleh Justas123
2
CPR by VictorVCentral Pivot Range Where price is vs CPR Above TC: bullish bias; TC/BC act as support. Hold above TC → trend day likely. Inside CPR (BC–TC): balanced/choppy; expect mean reversion between edges until a clean break. Below BC: bearish bias; BC/TC act as resistance. Width of the CPR Narrow: energy coiled → higher chance of breakout/trend day. Wide: balanced market → range-bound behavior more likely. Shift vs yesterday CPR shifted up: bullish undertone. Shifted down: bearish undertone. Overlapping: neutral/indecisive. Intraday tells Acceptance: Several candles holding outside BC/TC = expansion in that direction. Rejection: Wicks through BC/TC that close back inside = likely fade back toward the opposite edge. Pivot (P) magnet: On non-trend days, price often gravitates back to P.
Penunjuk Pine Script®
oleh VCTRV
Rebound Sigma Pro - IndicatorOverview Rebound Sigma Pro is a mean-reversion indicator that detects statistically oversold conditions in trending markets. It helps traders identify potential short-term rebounds based on momentum exhaustion and volatility-adjusted entry zones. Concept The indicator combines two quantitative components: Short-term momentum to detect short-term exhaustion Trend filter to ensure setups align with the long-term direction When a stock in an uptrend becomes temporarily oversold, a limit-entry signal is plotted. The trade is then tracked until short-term conditions normalize or a time-based exit occurs. Visual Signals Green Triangle: Suggests placing a limit order for the next session Green Circle: Confirms entry was filled Red Triangle: Signals an exit for the next session’s open Orange Background: Pending order Green Background: Position active Red Background: Exit phase Yellow Line: Entry reference price User Inputs Limit Entry (% below previous close) – Default 1 % Use Limit Entry – Switch between limit or market entries Enable Time Exit – Optional holding-period constraint Maximum Holding Days All other internal parameters (momentum length, filters) are pre-configured. Alerts Limit Order Signal: New setup detected Entry Confirmed: Order filled Exit Signal: Exit expected next day Usage Designed for liquid equities and ETFs Works best in confirmed uptrends Backtesting encouraged to adapt parameters per symbol and timeframe Notes Not an automated strategy; manual order execution required Past behavior does not imply future performance Always apply sound position sizing and risk management Disclaimer This indicator is provided for educational and analytical purposes only. It does not constitute financial advice or performance assurance.
Penunjuk Pine Script®
oleh TheHitman
Rebound Sigma Pro - StrategyOverview Rebound Sigma Pro is a mean-reversion indicator that detects statistically oversold conditions in trending markets. It helps traders identify potential short-term rebounds based on momentum exhaustion and volatility-adjusted entry zones. Concept The indicator combines two quantitative components: Short-term momentum to detect short-term exhaustion Trend filter to ensure setups align with the long-term direction When a stock in an uptrend becomes temporarily oversold, a limit-entry signal is plotted. The trade is then tracked until short-term conditions normalize or a time-based exit occurs. Visual Signals Green Triangle: Suggests placing a limit order for the next session Green Circle: Confirms entry was filled Red Triangle: Signals an exit for the next session’s open Orange Background: Pending order Green Background: Position active Red Background: Exit phase Yellow Line: Entry reference price User Inputs Limit Entry (% below previous close) – Default 1 % Use Limit Entry – Switch between limit or market entries Enable Time Exit – Optional holding-period constraint Maximum Holding Days All other internal parameters (momentum length, filters) are pre-configured. Alerts Limit Order Signal: New setup detected Entry Confirmed: Order filled Exit Signal: Exit expected next day Usage Designed for liquid equities and ETFs Works best in confirmed uptrends Backtesting encouraged to adapt parameters per symbol and timeframe Notes Not an automated strategy; manual order execution required Past behavior does not imply future performance Always apply sound position sizing and risk management Disclaimer This indicator is provided for educational and analytical purposes only. It does not constitute financial advice or performance assurance.
Strategi Pine Script®
oleh TheHitman
Uptrick: Relative Strength Rotation SystemIntroduction The Uptrick: Relative Strength Rotation System is an indicator engineered to implement a regime-aware tactical allocation strategy across a predefined set of user-specified assets. It visualizes a simulated equity curve produced by a closed, managed rotation engine. The system is designed to identify relative strength relationships dynamically and rotate into stronger-performing assets, while offering an optional fallback into a defensive state when market conditions are deemed unfavorable by the logic. Overview This indicator allocates capital by continuously evaluating the relative strength between all asset pairs within the selected group. Unlike simplistic momentum models or rank-based selectors, this system uses internally calculated scores that compare each asset across multiple dimensions, forming a comprehensive decision matrix. These scores are evaluated through a regime-aware layer that determines whether the system should remain invested or move into an idle allocation. The rotation logic is implemented through a rebalancing structure that maintains exposure to a single asset at any time, or transitions into a fallback asset such as cash or PAXG based on internal conditions. Outputs include a dynamically colored equity curve, context-sensitive labels, and optional overlays comparing buy-and-hold performance of the selected assets. Originality The indicator utilizes a scoring matrix based on custom asset-to-asset comparative ratios, resulting in a relational framework that evaluates assets in the context of each other rather than in isolation. Each asset is analyzed through multiple statistical dimensions, including trend strength and normalized deviation using Z-score calculations. These metrics form the foundation of an adaptive matrix used to derive consensus leadership. A key differentiator lies in the optional routing of idle allocations to PAXG—a tokenized gold asset—offering a non-cash defensive alternative that introduces both diversification and risk modulation not typically seen in rotation models. The engine also includes an override layer that filters decisions through market state awareness, adding tactical discipline during ambiguous or bearish regimes. Taken together, these features form a self-contained rotation mechanism with multiple embedded controls and fallback logic, all of which are abstracted from the user. Inputs and Features Exponential Length (EMA Length) Specifies the smoothing length used by one of the internal scoring models. Lower values allow for more responsive asset comparisons, while longer values smooth out short-term volatility in score changes. Z Score Controls the statistical lookback length used for normalized relative comparisons. This Z-score is a cornerstone of the system’s comparative matrix, standardizing inter-asset ratio behaviors to detect statistically significant deviations from recent behavior. It allows the rotation engine to isolate and prioritize sustained leadership across assets, regardless of price volatility. Rebalance Every N Bars Sets how frequently the system evaluates potential changes in leadership. This controls the cadence of reallocation and can be tuned for faster or slower responsiveness. When Bearish / Neutral, go to Lets the user select how the system behaves during non-confirmed or bearish conditions. It can either route to a flat cash-equivalent state or into a user-defined defensive asset (such as PAXG), introducing an added layer of optional protection. Cash Filter Activates an override that forces the system into an idle state during unfavorable market regimes, even if a leader is otherwise present. This regime-aware mechanism adds another layer of conditional control to mitigate exposure risk. Start Date Defines the point in history from which the equity simulation begins. All calculations and equity values prior to this point are excluded. Asset Inputs (Asset 1 to Asset 4) Allow the user to specify up to four assets to be evaluated within the rotation universe. These may include crypto, forex, or other tradable symbols supported by TradingView. PAXG Fallback Asset Specifies the asset used as a fallback when the idle state is active and the defensive mode is set to PAXG rather than cash. Color Settings Users can customize the chart color palette for each asset and idle condition for enhanced clarity. HODL Curve Toggles Enable buy-and-hold equity curves for each input asset to be plotted for direct performance comparison with the system’s output. Simple Mode Reduces visual noise by simplifying the chart’s appearance and removing optional elements. Background Color and Shadow Equity Fill Offer additional styling options that reflect the system's current allocation, enhancing chart readability. COLORED EQUITY CURVE - PAXG COLORED EQUITY CURVE - CASH SYSTEM Current System Text Color Allows further customization of label text for visibility across different asset themes. Summary The Uptrick: Relative Strength Rotation System is a rotation engine that leverages a proprietary scoring matrix to simulate tactical asset allocation. It analyzes inter-asset behavior through pairwise ratio metrics and statistically normalized scoring methods, enabling it to identify leadership dynamics within a defined universe. The inclusion of PAXG as a defensive fallback, regime-aware cash filtering, and customizable rebalancing cadence gives the system adaptability beyond traditional relative strength models. Users are provided with transparent visual feedback through an equity curve, contextual labels, buy-and-hold overlays, and real-time equity statistics. The system is not designed to disclose its internal mechanics, but it enables full visualization of its output and decisions for comparative analysis. Disclaimer This script is intended solely for educational and informational purposes. It does not constitute financial advice, trading signals, or an offer to buy or sell any financial instrument. Trading and investing carry risk, and past performance does not guarantee future outcomes. Users should perform their own research and consult a licensed financial advisor before making trading decisions.
Penunjuk Pine Script®
oleh Uptrick
2
AlphaRadar - Market📊 ALPHARADAR - MARKET MONITOR ⚠️ IMPORTANT 🔴 This indicator MUST be used ONLY on DAILY (1D) timeframe. It will not work correctly on other timeframes. Overview: Real-time market and sector performance dashboard displaying major US indices and all 11 sector ETFs in a single, organized panel. Track market rotation and sector strength at a glance. Features: - Market Indices (4): SPY (S&P 500), QQQ (Nasdaq), IWM (Russell 2000), DIA (Dow Jones) - Sector ETFs (11): Complete coverage of all US market sectors - Performance Tracking: Day, 5D, 1M, 6M, and YTD returns - Color-Coded: 🟢 Green (positive) / 🔴 Red (negative) for instant visual analysis What You Can Track: ✅ Market breadth (all indices moving together vs divergence) ✅ Sector rotation (which sectors are leading/lagging) ✅ Risk-on vs Risk-off sentiment ✅ Short-term momentum (Day, 5D) ✅ Medium-term trends (1M, 6M) ✅ Year-to-date performance leaders Market Sectors Included: - XLC (Communication) - XLY (Consumer Discretionary) - XLP (Consumer Staples) - XLE (Energy) - XLF (Financials) - XLV (Healthcare) - XLI (Industrials) - XLB (Materials) - XLRE (Real Estate) - XLK (Technology) - XLU (Utilities) How to Use: 🔍 Spot Market Rotation: Identify which sectors are outperforming 📈 Confirm Trends: All green = strong market, all red = market weakness ⚡ Find Opportunities: Rotate into leading sectors, avoid lagging ones 🎯 Risk Management: Divergence between indices = potential warning signal Best For: - Sector rotation strategies - Market breadth analysis - Swing trading - Portfolio allocation decisions - Daily market monitoring Notes: - Data updates in real-time during market hours - All calculations based on daily closing prices - Works with any chart symbol - Free to use 🔔 Remember: Use DAILY (1D) charts only!
Penunjuk Pine Script®
oleh MG-Alpha
CISD Risk Calculator for futures tradingCISD Risk Calculator Indicator Explanation The CISD Risk Calculator is a specialized trading indicator that helps traders identify key market structure changes and automatically calculate optimal position sizing based on risk parameters. Here's a detailed explanation of what it does: Core Functionality: CISD Detection CISD stands for "Change In Structure Direction," which identifies important shifts in market structure: Market Structure Analysis: The indicator constantly analyzes price action to detect when the market structure changes from bullish to bearish or vice versa. Bullish CISD: Occurs when price makes a higher high, then retraces, but fails to make a lower low. This suggests a potential bullish continuation. Bearish CISD: Occurs when price makes a lower low, then bounces, but fails to make a higher high. This suggests a potential bearish continuation. Risk Calculation Features The primary purpose of this modified indicator is to calculate trading risk: Points Risk Calculation: The indicator measures the distance in points (price units) between the current price and the relevant structure level (high or low). Automatic Contract Value Detection: It automatically detects what instrument you're trading (ES, NQ, MES, MNQ) and applies the correct point value: NQ: $20 per point MNQ: $2 per point ES: $50 per point MES: $5 per point Position Sizing Calculation: Using your inputted dollar risk amount (e.g., $250), it calculates exactly how many contracts you should trade to maintain that risk level. Visual Interface The indicator has a minimalist design: Central Display Panel: Shows key information at the top center of your chart: CISD Type (Bullish or Bearish) Points Risk (distance to your stop level) Trade Risk (recommended number of contracts) Invisible CISD Levels: The actual CISD lines and markers are completely invisible, keeping your chart clean while still performing calculations. Simple Settings: Only shows essential settings: Dollar Risk Amount: How much money you want to risk Label Color and Text Color: For visual customization Text Size: Adjusts the display size
Penunjuk Pine Script®
oleh DrodzCip
NQ → NAS100 Converter by Dr WThis indicator allows traders to quickly and accurately convert stop levels from NQ (E-mini Nasdaq futures) to NAS100 (CFD) values, helping users who trade across different instruments to manage risk consistently. Key Features: Real-time Price Conversion: Displays the current NQ futures price and the corresponding NAS100 price on your chart, updated every bar. Stop Distance Conversion: Converts a user-defined stop distance in NQ points into the equivalent NAS100 stop level using proportional scaling based on current market prices. Customizable Labels: Choose between Candle-attached labels (appearing near the bar) or Chart-fixed labels (HUD style). Adjust label position, background color, text color, and label style (left, right, center). Flexible Display Options: Show/hide NQ price, NAS100 price, and converted stop independently. Perfect for traders who want a quick visual reference without cluttering the chart. Trading Direction Support: Select Long or Short trades, and the stop conversion automatically adapts to the trade direction. How It Works: The indicator requests the latest NQ and NAS100 prices at your chart’s timeframe. It calculates the NAS100 stop using the formula: NAS_Stop = NAS_Price ± (Stop_NQ_Points / NQ_Price * NAS_Price) + is used for short trades, - for long trades. The converted stop, along with the underlying prices, is displayed according to your label settings. Use Cases: Risk management for cross-instrument traders. Quickly visualizing equivalent stops when trading NQ futures vs NAS100 CFDs. An educational tool to understand proportional stop sizing between instruments. TradingView Policy Compliance Notes: The indicator does not provide trading advice or signals; it only performs calculations and visualizations. It does not execute trades or connect to brokerage accounts. All values displayed are informational only; users should independently verify stop levels before placing trades.
Penunjuk Pine Script®
oleh winkiefx
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!
Penunjuk Pine Script®
oleh kingshukghosh71
6
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.
Penunjuk Pine Script®
oleh FOREXSOM
2
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.
Penunjuk Pine Script®
oleh mattimeo_mouse
Force of Strategy (FoS, Multi TF/TA, Backtest, Alerts)Introducing the FoS Trading System A comprehensive and innovative solution designed for both novice and experienced traders to enhance their intraday trading. The basic idea of creating this script is to stay profitable in any market Key Features: There are over 25 no-repaint strategies for generating buy and sell signals to choose from 10 symbols for simultaneous trading Webhook alerts in TTA format (tradingview to anywhere) pre-configured to send messages for trading cross-margin futures on major Crypto Exchanges: Binance, Bitget, BingX, Bybit, GateIO and OKX A unique automated "Strategy switcher" feature for backtesting and live trading—not just a specific strategy, but the logic behind choosing a trading one or another strategy based on backtesting data obtained in real time Advanced risk management options and backtest result metrics Higher Timeframe filters (Technical Rating, ADX, Volatility) and ability for check backtest results with 9 main higher timeframes Buy and sell signals are generated using TradingView Technical Ratings, indicators with adaptive length algorithms and various classic indicators with standard settings to avoid overfitting Next, I will describe in detail what this script does and what settings it operates with: "All Strategies" off - In the global settings block, as shown in the main chart screenshot, you select how long the script will perform backtests in days, with a limitation on the number of bars for calculations. This limitation is necessary to maintain an acceptable calculation speed. You also choose which two higher timeframes we will use for signal and filters when confirming the opening of trades - With "All Strategies" off - as in the example on the main chart screenshot, trading is carried out by strategy #1 on 10 selected tickers simultaneously. By default, I selected the 9 top-capitalized cryptocurrencies on the Bitget exchange and the chart symbol. You can change that choice of 9 non chart opened instruments and # strategy for each them - The first row in the table 1 shows some of the main choosen script settings, in attached example: initial capital 20$, leverage 50L, 20 backtest days, 3$ is invest in one deal, 60m - is chart timeframe, next 60m is higher timeframe 1 and last 90m is higher timeframe 2. In first column you see shortened to 5 characters ticker names - The exchange name in the second row determines the alert messages format I've attached another example of trading with setting "All strategies" off in the image below. In this example, trading 10 standard symbols on an hourly timeframe, 2 coins from 10: 1000SATS and DOGE have generated a profit of over $65 over the past 20 days using strategy #4 Can you browse a wide range of trading instruments and select the 10 best strategies and settings for future trading? Of course, trading is what this script is do! The parameters in the table 1 mean the following: TR - count of closed trading deals WR - Winning Rate, PF - Profit Factor MDD - Max Draw Down for all calculated time from initial capital R$ - trading profit result in usd The parameters in the table 2 is just more metrics for chart symbol: PT - result in usd Per one Trade PW - result Per Win, PL - result Per Lose ROI - Rate of Investments SR - Sharpe Ratio, MR - CalMAR ration Tx - Commision Fee in Usd R$ - trading profit result in usd again Table 2 separate trade results of backtesting for longs and shorts. In first column you see how many USD were invested in one trade, taking into account possible position splitting (will be discussed in more detail in the risk management section) Settings: "All Strategies" on, "Check Last" off When "All Strategies" is active, trading changed from 10 symbols and one strategy to all strategies and one chart symbol. If option "Check Last" is inactive you will see backtest results for each of strategy in backtest setting days. This is useful, for example, if you want to see backtest results under different settings over a long period of time for calibrating risk management or entry rules "All Strategies" on, "Check Last" on - If "All Strategies" and "Check Last" is active trading will occur on the chart symbol only for those strategies that meet the criteria of the settings block for the enabled "All Strategies" option. For example your criteria is: for last 5 trades for all strategies, open next trade only on strategy which reached ROI 25% and WinRate 50%. When strategy with this setting criteria receive Buy or Sell Signal this trade will be opened, and when trade will be close "check last" will repeat. This feature i called "Strategy switcher" -In Table 1 if strategy meet criteria you will see "Ok" label, if strategy meet criteria and have maximum from other reached ROI they labeled "Best". Chart strategy labeled "Chart", Chart and Ok labels in one time is "Chart+", "Chart" and "Best" is labeled "Best+" - The color in the first column of table 1 indicates that the strategy is currently in an open position: green means an open long position, red means an open short position. In picture bellow you will see good example for trading with check results for last 10 trades, and make desicion for trading when criteries 0.25 ROI and WinRate 50% reached for Top 2 by ROI strategies from all list of them. This example of trading logic in last 20 days (include periods when strategy don't arise 10 trades) give a profit $30+. At the bottom of the screen, you can see Labels with the numbers of the strategies that opened the trades. In this example, trades were primarily opened using strategy number 2, and the second most effective strategy after the 20-day backtest was strategy number 9 Who can promise you'll make a profit of $30 in the next 20 days with a drawdown of no more than $8 from the initial $20 with invest in one trade just 2.7$? No one. But this script guarantees that in the future it will repeat the same logic of switching trading strategies that brought profit over the last 20 days Risk management options - When a buy or sell trade is opened, you'll see three lines on the chart: a red stop-loss line (SL), a green take-profit line (TP), and a blue line representing the entry price. The trade will be closed if the high price or low price reaches the line TP or SL (no wait for bar close) and alert will be triggered once per bar when script recalculates - Several options are available to control the behavior of SL/TP lines, such as stop-loss by percentage, ATR, or Highest High (HH) and Lowest Low (LL). Take Profit can be in percent, ATR or in Risk Reward ratio. There some Trailing Stop with start trail trigger options, like ATR, percent or HH / LL - Additionally, in risk managment settings a function has been implemented for adding a position when the breakeven level expressed in the current ROI is reached for opened trade (splitting position). The position is added within the bar. - Webhook alerts in TTA format with message contained next info : Buy / Sell or adding Quantity, Leverage, SL price, TP price and close trade Keep in mind if the stop-loss changed when adding a position, the stop-loss will not be able to be higher than the current bar's low price, regardless of your settings, as backtest trades do not use intra-bar data, in this situation SL will be correct at next bar (but alert message don't be sended twice). And please note that this script does not have an option to simultaneously open trades in different directions. Only 1 trade can be opened for 1 trading instrument at a time Backtest Engine Backtest is a very important part of this script. Here describe how its calculate: - Profit or Loss is USD: close trade price * open trade quantity - open trade price * open trade quantity - open trade quantity * (open trade price + close trade price)/2 * commision fee Possible slippage or alert sending delay needed to be include in commission % which you will set in risk managment settings block, default settings is 0.15% (0,06% for open, 0,06% for close and 0,03% for possible slippage or additional fees) - Maximum Draw Down: Drawdown = (peak - current equity) / peak * 100 ; Drawdown > maxDrawdown ? maxDrawdown = Drawdown - ROI: profit result in USD / sum of all positions margin - CalMAR Ratio: ROI / (-MaxDrawDown) - Sharpe Ratio: ROI / standard deviation for (Sum of all Profits and Loses) / (Sum of all Position Margins) This description was added because in metrics i don't use parameters like "The risk-free rate of return". Keep in mind how exactly this script calculate profit and perfomance when adjusting key criteria in the strategy switching parameters block of script settings Strategies itself For trading, you can enable or disable various Higher Timeframes Filters (ADX, volatility, technical rating). With filters enabled, trades will only open when the setting parameters are reached - Strategy number 1, 2 and 3: is Higher Timeframe TradingView Technical Ratings itself, 1 is summary total rating, 2 is oscillators and 3 is moving averages. When TR filter cross filter levels trade will be open at chart bar close. By Default on chart you see Summary Technical Rating oscillator, but here the options for change it to Oscillator TR or Moving Average TR - Strategy number 4, 5 and 6: is Chart TimeFrame TR. Trades will open when its values (Summary, Oscillators and Moving Averages) reached setting buy sell level - Strategy number 7, 8 and 9: is Alternative buy sell logic for Chart TimeFrame TR, trades will open when counting rising or falling values will be reached - Strategies with number from 10 to 18: is chosen by user adaptive moving averages and oscillators indicators. There in settings you will see many different adaptive length algorithms for trading and different types of moving averages and oscillators. In tooltips in settings you will find very more information, and in settings you will see list of all indicators and algorithms (more than 30 variations). All adaptive strategies have their options in settings for calibrating and plotting - Strategies with number from 19: its can't be chosen or calibarted, this is needed for avoid overfitting, i try to found mostly time worked strategies and use its with standard settings. In future it's possible to changing current or adding additional strategies. At the time of publication this script uses: Dynamic Swing HH LL (19), Composite indicator (20), %R Exhausting with different signals (21,22,23), Pivot Point SuperTrend (24), Ichimoku Cloud (25), TSI (26), Fib Level RSI (27). I don't plot classic strategies in this script Let me explain, the value of this script is not in the strategies it includes, but in how exactly it collects the results of their work, how it filters the opening of trades, what risk management it applies and what strategy switching logic it performs. The system itself that you are now reading about represents the main value of this script Finally if you get access for this script - You will see many other not described options and possibilities like Kelly position or list of settings for adaptive strategies, also i added many usefull tooltips in script settings Happy trading, and stay tuned for updates! DISCLAIMER: No sharing, copying, reselling, modifying, or any other forms of use are authorized for this script, and the information published with them. This script is strictly for individual use. No one know future and Investments are always made at your own risk. I am not responsible for any losses you may incur. Please before investment make sure that chosen logic is enaugh profitable on virtual demo account.
Penunjuk Pine Script®
oleh RGtrue
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.
Penunjuk Pine Script®
oleh AlgoAlpha
47
Blocks🔍 On-Chain Analytics Overview This indicator compares key on-chain metrics against their 55-day and 111-day moving averages to evaluate the network’s overall health. It helps visualize trends in user activity, transaction dynamics, and market valuation to identify potential shifts in market sentiment. 📊 Core Metrics Active Addresses: The number of unique addresses actively interacting with the network. An increase suggests higher user engagement and network utilization. New Address Count: The number of newly created wallets. A decline may indicate slowing user adoption or lower retail participation. Non-zero Balance Addresses: Addresses holding a non-zero balance — a metric of long-term adoption and retention. Active Supply (1Y): The percentage of supply that has moved within the last year. Lower values imply stronger “HODL” behavior and long-term confidence. Realized Market Value: Represents the total value of coins based on their last on-chain movement, reflecting the cost basis of holders. Market Value: The current market capitalization derived from price × circulating supply. Large Transaction Count / Volume: Measures institutional or whale-level activity. Spikes may indicate accumulation or distribution phases. 90-day NVT (Network Value to Transaction Volume): A valuation metric comparing network value to transaction activity. High NVT → Overvalued or speculative phase Low NVT → Undervalued or high on-chain utility Daily Transaction Count: Indicates on-chain activity levels; rising values often precede bullish momentum. Transaction Fees (USD): Network demand indicator — rising fees can reflect congestion or growing user activity. Top Holder Addresses: Tracks concentration among top wallets (e.g., top 0.1%, 0.001%), offering insights into wealth distribution and whale dominance. ⚙️ Delta & Score System Δ (Delta): Shows deviation from the long-term average (MA-55 / MA-111). Positive Delta → Metric above historical norm (strength or overheating) Negative Delta → Metric below historical norm (weakness or cooling) Score Icons: ✅ = Healthy / Positive trend ⚠️ = Mixed or Neutral signal 🔻 = Caution / Negative trend 🧭 Interpretation A cluster of green checkmarks (✅) signals robust network fundamentals — often supportive of long-term growth. A dominance of warnings (⚠️) or red signals (🔻) indicates network slowdowns or profit-taking phases.
Penunjuk Pine Script®
oleh DENIZ_HAN_DEMIRCI
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)
Perpustakaan Pine Script®
oleh TFlab
4