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Pearson's R TrendPearson's R Trend Indicator Overview The Pearson's R Trend Indicator is an advanced technical analysis tool that measures the strength and direction of price trends using statistical correlation. By comparing fast and slow-period Pearson correlation coefficients, this indicator helps identify trend momentum, potential reversals, and overbought/oversold conditions. Key Features Dual timeframe correlation analysis (Fast and Slow periods) Signal line with crossover alerts Dynamic histogram for trend visualization Configurable overbought/oversold levels Multiple visual components with customizable colors Comprehensive alert system Technical Details Core Calculations Fast R: Calculates Pearson's correlation coefficient over the faster period (default: 21 periods) Slow R: Calculates Pearson's correlation coefficient over the slower period (default: 34 periods) R-Diff: Normalized difference between Fast and Slow R values (range: -1 to 1) Signal Line: Smoothed average of R-Diff (default: 3-period SMA) Histogram: Difference between R-Diff and Signal Line Signal Generation Zero Line Crosses • Bullish: R-Diff crosses above zero • Bearish: R-Diff crosses below zero Signal Line Crosses • Bullish: R-Diff crosses above Signal Line • Bearish: R-Diff crosses below Signal Line Overbought/Oversold Conditions • Overbought: R-Diff above 0.45 (default) • Oversold: R-Diff below -0.45 (default) Customization Options Calculation Settings Fast Length: Period for fast correlation calculation (default: 21) Slow Length: Period for slow correlation calculation (default: 34) Signal Smoothing: Moving average period for signal line (default: 3) Price Source: Configurable input source (default: close) Visual Settings Histogram display toggle Signal line display toggle Crossing markers toggle Line width adjustments Custom color schemes for bullish/bearish signals Configurable overbought/oversold levels Interpretation Bullish Signals R-Diff crossing above zero R-Diff crossing above signal line R-Diff emerging from oversold territory Positive histogram expansion Bearish Signals R-Diff crossing below zero R-Diff crossing below signal line R-Diff dropping from overbought territory Negative histogram expansion Alert Conditions Zero line crosses (both directions) Signal line crosses (both directions) Overbought zone entry Oversold zone entry Best Practices Use multiple timeframe analysis for confirmation Combine with volume and price action analysis Watch for divergences between R-Diff and price Pay attention to histogram momentum changes Use overbought/oversold levels as dynamic support/resistance zones Notes The indicator uses statistical correlation to measure trend strength Normalized calculations ensure consistent -1 to 1 range Built-in alert system for all major signal types Customizable visual elements for optimal chart analysis Disclaimer This technical indicator is designed to supplement your trading analysis and should not be used as the sole decision-making tool. Always combine with other forms of analysis and proper risk management techniques.
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Sector Trend MapThe Sector Trend Map is a powerful tool designed to provide a sentiment heatmap for major market sectors. This indicator tracks the average trend direction across 11 key sectors, including Technology, Financials, Healthcare, Energy, and more. By monitoring each sector's sentiment, the Sector Trend Map helps traders quickly assess whether sectors are bullish or bearish, allowing for better-informed trading decisions. This indicator plots a visual heatmap showing the sentiment strength for each sector on a scale from 0 to 100. The colors range from green for bullish sentiment to red for bearish sentiment. Additionally, it displays a real-time percentage of sectors that are bullish and bearish in a dynamic table located in the bottom right corner of the chart. This indicator simplifies sector sentiment analysis by providing clear visual cues, making it easy to stay on top of market dynamics and make data-driven trading decisions. Key Features: Sentiment Heatmap: Displays a heatmap of sector sentiment ranging from bullish (green) to bearish (red). Bullish/Bearish Percentages: A dynamic table showing the percentage of sectors that are bullish or bearish. Tracks 11 Key Sectors: Monitors sectors such as Technology, Financials, Energy, Healthcare, and more. Simple and Clear Visuals: Provides easy-to-read color coding for quick decision-making. Customizable Moving Averages: Select between SMA, EMA, WMA, or DEMA for the trend calculation. Market Hours Sensitivity: Indicator operates during regular market hours, ensuring relevance for day traders and active traders. Overlay Sentiment Colors on Candles: This feature allows you to overlay the sentiment (green for bullish, red for bearish) directly onto the price chart candles. You can enable or disable this option based on your preference. How to Use the Sector Trend Map: The heatmap is divided into different sectors. Each sector is colored based on its current sentiment: 🟢 Green (Bullish sentiment) 🔴 Red (Bearish sentiment) Sentiment is calculated on a scale from 0 to 100, with 50 being the neutral point. Sectors above 50 are bullish, while sectors below 50 are bearish. Bullish/Bearish Percentage Table: A table is displayed in the bottom right corner of the screen, showing the percentage of sectors that are currently bullish and bearish. Bullish %: The percentage of sectors above 50 on the sentiment scale. Bearish %: The percentage of sectors below 50 on the sentiment scale. Market Hours Activity: The indicator only calculates and displays data during market hours (09:30 AM to 4:00 PM EST), ensuring it stays relevant to intraday trading. Outside of market hours, the indicator remains inactive. Best Used For: Intraday Traders: Get real-time sector sentiment during market hours and make better trading decisions based on sector strength or weakness. Swing Traders: Monitor sector trends to spot shifts in market sentiment over time. Sector Rotation Strategies: Use the indicator to identify which sectors are gaining or losing strength, aiding in sector rotation strategies. Practical Example: If 7 out of the 11 sectors display a bullish sentiment, the table will show 63.64% as bullish and 36.36% as bearish. The heatmap will show green sectors for those above the 50 sentiment threshold, allowing you to visually spot the sectors leading the market.
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Trading IQ - ICT LibraryLibrary "ICTlibrary" Used to calculate various ICT related price levels and strategies. An ongoing project. Hello Coders! This library is meant for sourcing ICT related concepts. While some functions might generate more output than you require, you can specify "Lite Mode" as "true" in applicable functions to slim down necessary inputs. isLastBar(userTF)   Identifies the last bar on the chart before a timeframe change   Parameters:      userTF (simple int) : the timeframe you wish to calculate the last bar for, must be converted to integer using 'timeframe.in_seconds()'   Returns: bool true if bar on chart is last bar of higher TF, dalse if bar on chart is not last bar of higher TF necessaryData(atrTF)   returns necessaryData UDT for historical data access   Parameters:      atrTF (float) : user-selected timeframe ATR value.   Returns: logZ. log return Z score, used for calculating order blocks. method gradBoxes(gradientBoxes, idColor, timeStart, bottom, top, rightCoordinate)   creates neon like effect for box drawings   Namespace types: array   Parameters:      gradientBoxes (array) : an array.new() to store the gradient boxes      idColor (color)      timeStart (int) : left point of box      bottom (float) : bottom of box price point      top (float) : top of box price point      rightCoordinate (int) : right point of box   Returns: void checkIfTraded(tradeName)   checks if recent trade is of specific name   Parameters:      tradeName (string)   Returns: bool true if recent trade id matches target name, false otherwise checkIfClosed(tradeName)   checks if recent closed trade is of specific name   Parameters:      tradeName (string)   Returns: bool true if recent closed trade id matches target name, false otherwise IQZZ(atrMult, finalTF)   custom ZZ to quickly determine market direction.   Parameters:      atrMult (float) : an atr multiplier used to determine the required price move for a ZZ direction change      finalTF (string) : the timeframe used for the atr calcuation   Returns: dir market direction. Up => 1, down => -1 method drawBos(id, startPoint, getKeyPointTime, getKeyPointPrice, col, showBOS, isUp)   calculates and draws Break Of Structure   Namespace types: array   Parameters:      id (array)      startPoint (chart.point)      getKeyPointTime (int) : the actual time of startPoint, simplystartPoint.time      getKeyPointPrice (float) : the actual time of startPoint, simplystartPoint.price      col (color) : color of the BoS line / label      showBOS (bool) : whether to show label/line. This function still calculates internally for other ICT related concepts even if not drawn.      isUp (bool) : whether BoS happened during price increase or price decrease.   Returns: void method drawMSS(id, startPoint, getKeyPointTime, getKeyPointPrice, col, showMSS, isUp, upRejections, dnRejections, highArr, lowArr, timeArr, closeArr, openArr, atrTFarr, upRejectionsPrices, dnRejectionsPrices)   calculates and draws Market Structure Shift. This data is also used to calculate Rejection Blocks.   Namespace types: array   Parameters:      id (array)      startPoint (chart.point)      getKeyPointTime (int) : the actual time of startPoint, simplystartPoint.time      getKeyPointPrice (float) : the actual time of startPoint, simplystartPoint.price      col (color) : color of the MSS line / label      showMSS (bool) : whether to show label/line. This function still calculates internally for other ICT related concepts even if not drawn.      isUp (bool) : whether MSS happened during price increase or price decrease.      upRejections (array)      dnRejections (array)      highArr (array) : array containing historical highs, should be taken from the UDT "necessaryData" defined above      lowArr (array) : array containing historical lows, should be taken from the UDT "necessaryData" defined above      timeArr (array) : array containing historical times, should be taken from the UDT "necessaryData" defined above      closeArr (array) : array containing historical closes, should be taken from the UDT "necessaryData" defined above      openArr (array) : array containing historical opens, should be taken from the UDT "necessaryData" defined above      atrTFarr (array) : array containing historical atr values (of user-selected TF), should be taken from the UDT "necessaryData" defined above      upRejectionsPrices (array) : array containing up rejections prices. Is sorted and used to determine selective looping for invalidations.      dnRejectionsPrices (array) : array containing down rejections prices. Is sorted and used to determine selective looping for invalidations.   Returns: void method getTime(id, compare, timeArr)   gets time of inputted price (compare) in an array of data this is useful when the user-selected timeframe for ICT concepts is greater than the chart's timeframe   Namespace types: array   Parameters:      id (array) : the array of data to search through, to find which index has the same value as "compare"      compare (float) : the target data point to find in the array      timeArr (array) : array of historical times   Returns: the time that the data point in the array was recorded method OB(id, highArr, signArr, lowArr, timeArr, sign)   store bullish orderblock data   Namespace types: array   Parameters:      id (array)      highArr (array) : array of historical highs      signArr (array) : array of historical price direction "math.sign(close - open)"      lowArr (array) : array of historical lows      timeArr (array) : array of historical times      sign (int) : orderblock direction, -1 => bullish, 1 => bearish   Returns: void OTEstrat(OTEstart, future, closeArr, highArr, lowArr, timeArr, longOTEPT, longOTESL, longOTElevel, shortOTEPT, shortOTESL, shortOTElevel, structureDirection, oteLongs, atrTF, oteShorts)   executes the OTE strategy   Parameters:      OTEstart (chart.point)      future (int) : future time point for drawings      closeArr (array) : array of historical closes      highArr (array) : array of historical highs      lowArr (array) : array of historical lows      timeArr (array) : array of historical times      longOTEPT (string) : user-selected long OTE profit target, please create an input.string() for this using the example below      longOTESL (int) : user-selected long OTE stop loss, please create an input.string() for this using the example below      longOTElevel (float) : long entry price of selected retracement ratio for OTE      shortOTEPT (string) : user-selected short OTE profit target, please create an input.string() for this using the example below      shortOTESL (int) : user-selected short OTE stop loss, please create an input.string() for this using the example below      shortOTElevel (float) : short entry price of selected retracement ratio for OTE      structureDirection (string) : current market structure direction, this should be "Up" or "Down". This is used to cancel pending orders if market structure changes      oteLongs (bool) : input.bool() for whether OTE longs can be executed      atrTF (float) : atr of the user-seleceted TF      oteShorts (bool) : input.bool() for whether OTE shorts can be executed @exampleInputs oteLongs = input.bool(defval = false, title = "OTE Longs", group = "Optimal Trade Entry") longOTElevel = input.float(defval = 0.79, title = "Long Entry Retracement Level", options = , group = "Optimal Trade Entry") longOTEPT = input.string(defval = "-0.5", title = "Long TP", options = , group = "Optimal Trade Entry") longOTESL = input.int(defval = 0, title = "How Many Ticks Below Swing Low For Stop Loss", group = "Optimal Trade Entry") oteShorts = input.bool(defval = false, title = "OTE Shorts", group = "Optimal Trade Entry") shortOTElevel = input.float(defval = 0.79, title = "Short Entry Retracement Level", options = , group = "Optimal Trade Entry") shortOTEPT = input.string(defval = "-0.5", title = "Short TP", options = , group = "Optimal Trade Entry") shortOTESL = input.int(defval = 0, title = "How Many Ticks Above Swing Low For Stop Loss", group = "Optimal Trade Entry")   Returns: void (0) displacement(logZ, atrTFreg, highArr, timeArr, lowArr, upDispShow, dnDispShow, masterCoords, labelLevels, dispUpcol, rightCoordinate, dispDncol, noBorders)   calculates and draws dispacements   Parameters:      logZ (float) : log return of current price, used to determine a "significant price move" for a displacement      atrTFreg (float) : atr of user-seleceted timeframe      highArr (array) : array of historical highs      timeArr (array) : array of historical times      lowArr (array) : array of historical lows      upDispShow (int) : amount of historical upside displacements to show      dnDispShow (int) : amount of historical downside displacements to show      masterCoords (map) : a map to push the most recent displacement prices into, useful for having key levels in one data structure      labelLevels (string) : used to determine label placement for the displacement, can be inside box, outside box, or none, example below      dispUpcol (color) : upside displacement color      rightCoordinate (int) : future time for displacement drawing, best is "last_bar_time"      dispDncol (color) : downside displacement color      noBorders (bool) : input.bool() to remove box borders, example below @exampleInputs labelLevels = input.string(defval = "Inside" , title = "Box Label Placement", options = ) noBorders = input.bool(defval = false, title = "No Borders On Levels")   Returns: void method getStrongLow(id, startIndex, timeArr, lowArr, strongLowPoints)   unshift strong low data to array id   Namespace types: array   Parameters:      id (array)      startIndex (int) : the starting index for the timeArr array of the UDT "necessaryData". this point should start from at least 1 pivot prior to find the low before an upside BoS      timeArr (array) : array of historical times      lowArr (array) : array of historical lows      strongLowPoints (array) : array of strong low prices. Used to retrieve highest strong low price and see if need for removal of invalidated strong lows   Returns: void method getStrongHigh(id, startIndex, timeArr, highArr, strongHighPoints)   unshift strong high data to array id   Namespace types: array   Parameters:      id (array)      startIndex (int) : the starting index for the timeArr array of the UDT "necessaryData". this point should start from at least 1 pivot prior to find the high before a downside BoS      timeArr (array) : array of historical times      highArr (array) : array of historical highs      strongHighPoints (array)   Returns: void equalLevels(highArr, lowArr, timeArr, rightCoordinate, equalHighsCol, equalLowsCol, liteMode)   used to calculate recent equal highs or equal lows   Parameters:      highArr (array) : array of historical highs      lowArr (array) : array of historical lows      timeArr (array) : array of historical times      rightCoordinate (int) : a future time (right for boxes, x2 for lines)      equalHighsCol (color) : user-selected color for equal highs drawings      equalLowsCol (color) : user-selected color for equal lows drawings      liteMode (bool) : optional for a lite mode version of an ICT strategy. For more control over drawings leave as "True", "False" will apply neon effects   Returns: void quickTime(timeString)   used to quickly determine if a user-inputted time range is currently active in NYT time   Parameters:      timeString (string) : a time range   Returns: true if session is active, false if session is inactive macros(showMacros, noBorders)   used to calculate and draw session macros   Parameters:      showMacros (bool) : an input.bool() or simple bool to determine whether to activate the function      noBorders (bool) : an input.bool() to determine whether the box anchored to the session should have borders   Returns: void po3(tf, left, right, show)   use to calculate HTF po3 candle @tip only call this function on "barstate.islast"   Parameters:      tf (simple string)      left (int) : the left point of the candle, calculated as bar_index + left,      right (int) : :the right point of the candle, calculated as bar_index + right,      show (bool) : input.bool() whether to show the po3 candle or not   Returns: void silverBullet(silverBulletStratLong, silverBulletStratShort, future, userTF, H, L, H2, L2, noBorders, silverBulletLongTP, historicalPoints, historicalData, silverBulletLongSL, silverBulletShortTP, silverBulletShortSL)   used to execute the Silver Bullet Strategy   Parameters:      silverBulletStratLong (simple bool)      silverBulletStratShort (simple bool)      future (int) : a future time, used for drawings, example "last_bar_time"      userTF (simple int)      H (float) : the high price of the user-selected TF      L (float) : the low price of the user-selected TF      H2 (float) : the high price of the user-selected TF      L2 (float) : the low price of the user-selected TF      noBorders (bool) : an input.bool() used to remove the borders from box drawings      silverBulletLongTP (series silverBulletLevels)      historicalPoints (array)      historicalData (necessaryData)      silverBulletLongSL (series silverBulletLevels)      silverBulletShortTP (series silverBulletLevels)      silverBulletShortSL (series silverBulletLevels)   Returns: void method invalidFVGcheck(FVGarr, upFVGpricesSorted, dnFVGpricesSorted)   check if existing FVGs are still valid   Namespace types: array   Parameters:      FVGarr (array)      upFVGpricesSorted (array) : an array of bullish FVG prices, used to selective search through FVG array to remove invalidated levels      dnFVGpricesSorted (array) : an array of bearish FVG prices, used to selective search through FVG array to remove invalidated levels   Returns: void (0) method drawFVG(counter, FVGshow, FVGname, FVGcol, data, masterCoords, labelLevels, borderTransp, liteMode, rightCoordinate)   draws FVGs on last bar   Namespace types: map   Parameters:      counter (map) : a counter, as map, keeping count of the number of FVGs drawn, makes sure that there aren't more FVGs drawn than int FVGshow      FVGshow (int) : the number of FVGs to show. There should be a bullish FVG show and bearish FVG show. This function "drawFVG" is used separately for bearish FVG and bullish FVG.      FVGname (string) : the name of the FVG, "FVG Up" or "FVG Down"      FVGcol (color) : desired FVG color      data (FVG)      masterCoords (map) : a map containing the names and price points of key levels. Used to define price ranges.      labelLevels (string) : an input.string with options "Inside", "Outside", "Remove". Determines whether FVG labels should be inside box, outside, or na.      borderTransp (int)      liteMode (bool)      rightCoordinate (int) : the right coordinate of any drawings. Must be a time point.   Returns: void invalidBlockCheck(bullishOBbox, bearishOBbox, userTF)   check if existing order blocks are still valid   Parameters:      bullishOBbox (array) : an array declared using the UDT orderBlock that contains bullish order block related data      bearishOBbox (array) : an array declared using the UDT orderBlock that contains bearish order block related data      userTF (simple int)   Returns: void (0) method lastBarRejections(id, rejectionColor, idShow, rejectionString, labelLevels, borderTransp, liteMode, rightCoordinate, masterCoords)   draws rejectionBlocks on last bar   Namespace types: array   Parameters:      id (array) : the array, an array of rejection block data declared using the UDT rejection block      rejectionColor (color) : the desired color of the rejection box      idShow (int)      rejectionString (string) : the desired name of the rejection blocks      labelLevels (string) : an input.string() to determine if labels for the block should be inside the box, outside, or none.      borderTransp (int)      liteMode (bool) : an input.bool(). True = neon effect, false = no neon.      rightCoordinate (int) : atime for the right coordinate of the box      masterCoords (map) : a map that stores the price of key levels and assigns them a name, used to determine price ranges   Returns: void method OBdraw(id, OBshow, BBshow, OBcol, BBcol, bullishString, bearishString, isBullish, labelLevels, borderTransp, liteMode, rightCoordinate, masterCoords)   draws orderblocks and breaker blocks for data stored in UDT array()   Namespace types: array   Parameters:      id (array) : the array, an array of order block data declared using the UDT orderblock      OBshow (int) : the number of order blocks to show      BBshow (int) : the number of breaker blocks to show      OBcol (color) : color of order blocks      BBcol (color) : color of breaker blocks      bullishString (string) : the title of bullish blocks, which is a regular bullish orderblock or a bearish orderblock that's converted to breakerblock      bearishString (string) : the title of bearish blocks, which is a regular bearish orderblock or a bullish orderblock that's converted to breakerblock      isBullish (bool) : whether the array contains bullish orderblocks or bearish orderblocks. If bullish orderblocks, the array will naturally contain bearish BB, and if bearish OB, the array will naturally contain bullish BB      labelLevels (string) : an input.string() to determine if labels for the block should be inside the box, outside, or none.      borderTransp (int)      liteMode (bool) : an input.bool(). True = neon effect, false = no neon.      rightCoordinate (int) : atime for the right coordinate of the box      masterCoords (map) : a map that stores the price of key levels and assigns them a name, used to determine price ranges   Returns: void FVG   UDT for FVG calcualtions   Fields:      H (series float) : high price of user-selected timeframe      L (series float) : low price of user-selected timeframe      direction (series string) : FVG direction => "Up" or "Down"      T (series int) : => time of bar on user-selected timeframe where FVG was created      fvgLabel (series label) : optional label for FVG      fvgLineTop (series line) : optional line for top of FVG      fvgLineBot (series line) : optional line for bottom of FVG      fvgBox (series box) : optional box for FVG labelLine   quickly pair a line and label together as UDT   Fields:      lin (series line) : Line you wish to pair with label      lab (series label) : Label you wish to pair with line orderBlock   UDT for order block calculations   Fields:      orderBlockData (array) : array containing order block x and y points      orderBlockBox (series box) : optional order block box      vioCount (series int) : = 0 violation count of the order block. 0 = Order Block, 1 = Breaker Block      traded (series bool)      status (series string) : = "OB" status == "OB" => Level is order block. status == "BB" => Level is breaker block.      orderBlockLab (series label) : options label for the order block / breaker block. strongPoints   UDT for strong highs and strong lows   Fields:      price (series float) : price of the strong high or strong low      timeAtprice (series int) : time of the strong high or strong low      strongPointLabel (series label) : optional label for strong point      strongPointLine (series line) : optional line for strong point      overlayLine (series line) : optional lines for strong point to enhance visibility      overlayLine2 (series line) : optional lines for strong point to enhance visibility displacement   UDT for dispacements   Fields:      highPrice (series float) : high price of displacement      lowPrice (series float) : low price of displacement      timeAtPrice (series int) : time of bar where displacement occurred      displacementBox (series box) : optional box to draw displacement      displacementLab (series label) : optional label for displacement po3data   UDT for po3 calculations   Fields:      dHigh (series float) : higher timeframe high price      dLow (series float) : higher timeframe low price      dOpen (series float) : higher timeframe open price      dClose (series float) : higher timeframe close price      po3box (series box) : box to draw po3 candle body      po3line (array) : line array to draw po3 wicks      po3Labels (array) : label array to label price points of po3 candle macros   UDT for session macros   Fields:      sessions (array) : Array of sessions, you can populate this array using the "quickTime" function located above "export macros".      prices (matrix) : Matrix of session data -> open, high, low, close, time      sessionTimes (array) : Array of session names. Pairs with array sessions.      sessionLines (matrix) : Optional array for sesion drawings. OTEtimes   UDT for data storage and drawings associated with OTE strategy   Fields:      upTimes (array) : time of highest point before trade is taken      dnTimes (array) : time of lowest point before trade is taken      tpLineLong (series line) : line to mark tp level long      tpLabelLong (series label) : label to mark tp level long      slLineLong (series line) : line to mark sl level long      slLabelLong (series label) : label to mark sl level long      tpLineShort (series line) : line to mark tp level short      tpLabelShort (series label) : label to mark tp level short      slLineShort (series line) : line to mark sl level short      slLabelShort (series label) : label to mark sl level short sweeps   UDT for data storage and drawings associated with liquidity sweeps   Fields:      upSweeps (matrix) : matrix containing liquidity sweep price points and time points for up sweeps      dnSweeps (matrix) : matrix containing liquidity sweep price points and time points for down sweeps      upSweepDrawings (array) : optional up sweep box array. Pair the size of this array with the rows or columns,      dnSweepDrawings (array) : optional up sweep box array. Pair the size of this array with the rows or columns, raidExitDrawings   UDT for drawings associated with the Liquidity Raid Strategy   Fields:      tpLine (series line) : tp line for the liquidity raid entry      tpLabel (series label) : tp label for the liquidity raid entry      slLine (series line) : sl line for the liquidity raid entry      slLabel (series label) : sl label for the liquidity raid entry m2022   UDT for data storage and drawings associated with the Model 2022 Strategy   Fields:      mTime (series int) : time of the FVG where entry limit order is placed      mIndex (series int) : array index of FVG where entry limit order is placed. This requires an array of FVG data, which is defined above.      mEntryDistance (series float) : the distance of the FVG to the 50% range. M2022 looks for the fvg closest to 50% mark of range.      mEntry (series float) : the entry price for the most eligible fvg      fvgHigh (series float) : the high point of the eligible fvg      fvgLow (series float) : the low point of the eligible fvg      longFVGentryBox (series box) : long FVG box, used to draw the eligible FVG      shortFVGentryBox (series box) : short FVG box, used to draw the eligible FVG      line50P (series line) : line used to mark 50% of the range      line100P (series line) : line used to mark 100% (top) of the range      line0P (series line) : line used to mark 0% (bottom) of the range      label50P (series label) : label used to mark 50% of the range      label100P (series label) : label used to mark 100% (top) of the range      label0P (series label) : label used to mark 0% (bottom) of the range      sweepData (array) silverBullet   UDT for data storage and drawings associated with the Silver Bullet Strategy   Fields:      session (series bool)      sessionStr (series string) : name of the session for silver bullet      sessionBias (series string)      sessionHigh (series float) : = high high of session // use math.max(silverBullet.sessionHigh, high)      sessionLow (series float) : = low low of session // use math.min(silverBullet.sessionLow, low)      sessionFVG (series float) : if applicable, the FVG created during the session      sessionFVGdraw (series box) : if applicable, draw the FVG created during the session      traded (series bool)      tp (series float) : tp of trade entered at the session FVG      sl (series float) : sl of trade entered at the session FVG      sessionDraw (series box) : optional draw session with box      sessionDrawLabel (series label) : optional label session with label silverBulletDrawings   UDT for trade exit drawings associated with the Silver Bullet Strategy   Fields:      tpLine (series line) : tp line drawing for strategy      tpLabel (series label) : tp label drawing for strategy      slLine (series line) : sl line drawing for strategy      slLabel (series label) : sl label drawing for strategy unicornModel   UDT for data storage and drawings associated with the Unicorn Model Strategy   Fields:      hPoint (chart.point)      hPoint2 (chart.point)      hPoint3 (chart.point)      breakerBlock (series box) : used to draw the breaker block required for the Unicorn Model      FVG (series box) : used to draw the FVG required for the Unicorn model      topBlock (series float) : price of top of breaker block, can be used to detail trade entry      botBlock (series float) : price of bottom of breaker block, can be used to detail trade entry      startBlock (series int) : start time of the breaker block, used to set the "left = " param for the box      includes (array) : used to store the time of the breaker block, or FVG, or the chart point sequence that setup the Unicorn Model.      entry (series float) : // eligible entry price, for longs"math.max(topBlock, FVG.get_top())",      tpLine (series line) : optional line to mark PT      tpLabel (series label) : optional label to mark PT      slLine (series line) : optional line to mark SL      slLabel (series label) : optional label to mark SL rejectionBlocks   UDT for data storage and drawings associated with rejection blocks   Fields:      rejectionPoint (chart.point)      bodyPrice (series float) : candle body price closest to the rejection point, for "Up" rejections => math.max(open, close),      rejectionBox (series box) : optional box drawing of the rejection block      rejectionLabel (series label) : optional label for the rejection block equalLevelsDraw   UDT for data storage and drawings associated with equal highs / equal lows   Fields:      connector (series line) : single line placed at the first high or low, y = avgerage of distinguished equal highs/lows      connectorLab (series label) : optional label to be placed at the highs or lows      levels (array) : array containing the equal highs or lows prices      times (array) : array containing the equal highs or lows individual times      startTime (series int) : the time of the first high or low that forms a sequence of equal highs or lows      radiate (array) : options label to "radiate" the label in connector lab. Can be used for anything necessaryData   UDT for data storage of historical price points.   Fields:      highArr (array) : array containing historical high points      lowArr (array) : array containing historical low points      timeArr (array) : array containing historical time points      logArr (array) : array containing historical log returns      signArr (array) : array containing historical price directions      closeArr (array) : array containing historical close points      binaryTimeArr (array) : array containing historical time points, uses "push" instead of "unshift" to allow for binary search      binaryCloseArr (array) : array containing historical close points, uses "push" instead of "unshift" to allow the correct      binaryOpenArr (array) : array containing historical optn points, uses "push" instead of "unshift" to allow the correct      atrTFarr (array) : array containing historical user-selected TF atr points      openArr (array) : array containing historical open points
Pine Script® kütüphanesi
Trading-IQ tarafından
1
Gabriel's Cyclic Smoothed RSI [Enhanced]Overview Gabriel's Cyclic Smoothed RSI (short title: cRSI ) is a sophisticated technical indicator developed to provide traders with deeper insights into market rhythms and price momentum. Building upon the traditional Relative Strength Index (RSI), this enhanced version incorporates dynamic cycle analysis, divergence detection, and optional stochastic oscillators to deliver a more nuanced understanding of market conditions. Key Features Cyclic Smoothed RSI (cRSI): Adaptive Momentum: The cRSI adapts to the dominant market cycle, providing a smoothed RSI that reacts dynamically to price changes. Ultra-Smooth & Zero-Lag: Designed to minimize lag, ensuring timely signals that closely follow price movements. Accurate Divergence Detection: Identifies both regular and hidden bullish/bearish divergences, enhancing signal reliability. Dynamic Overbought/Oversold Bands: Customizable Thresholds: Set dynamic overbought and oversold levels based on market rhythm analysis. Adaptive Bands: Bands adjust according to the dominant cycle, offering a more accurate representation of market extremes. Stochastic cRSI & KDJ Oscillator (Optional): Enhanced Oscillators: Incorporate stochastic and KDJ oscillators for additional momentum analysis. Ribbon Displays: Visual ribbons provide clarity on oscillator trends and potential reversal points. Divergence Detection: Regular & Hidden Divergences: Detects both regular and hidden bullish/bearish divergences to anticipate potential trend reversals. Customizable Lookback: Adjust pivot lookback periods to fine-tune divergence sensitivity. Visual Enhancements: Triangles & Labels: Visual signals in the form of triangles and labels indicate buy/sell opportunities and divergence events. Bar Coloring: Option to color bars based on signal strength, providing immediate visual cues. Alert Conditions: Custom Alerts: Set up alerts for various signal types, including strong buy/sell signals and divergence events, ensuring you never miss critical market movements. Input Settings cRSI Settings Source: Select the data source for calculations (e.g., Close, Open, High, Low, HLC3, OHLC4). Dominant Cycle Length: Define the dominant market cycle length based on rhythm analysis. Vibration: Adjusts the sensitivity of the cRSI to price changes. Leveling %: Determines the percentage level for dynamic band adjustments. Show cRSI Plot: Toggle the display of the cRSI line. Show Cyclic Smoothed Bands: Toggle the display of dynamic overbought and oversold bands. Show Trend Fill: Enable or disable the trend fill cloud between upper and lower bands. MA Settings MA Type: Choose the type of Moving Average (SMA, Bollinger Bands, EMA, SMMA (RMA), WMA, VWMA) to smooth the cRSI. MA Length: Set the length of the Moving Average. BB StdDev: Define the standard deviation multiplier for Bollinger Bands. Show cRSI-based MA: Toggle the display of the cRSI-based Moving Average line. Stochastic Settings Show Stochastic cRSI: Enable the stochastic oscillator based on cRSI. Ribbon: Enable ribbon display for the Stochastic oscillator. Show KDJ: Toggle the display of the KDJ oscillator. KDJ Ribbon: Enable ribbon display for the KDJ oscillator. Stochastic Length: Set the length for the Stochastic calculation. %K Smoothing: Define the smoothing period for %K. %D Smoothing: Define the smoothing period for %D. Stoch Scaling %: Adjusts the vertical scaling of the stochastic to prevent distortion. Overbought/Oversold Settings Overbought: Set the Overbought threshold for the cRSI. OB Extreme: Define the Extreme Overbought threshold for the Stochastic cRSI. Oversold: Set the Oversold threshold for the cRSI. OS Extreme: Define the Extreme Oversold threshold for the Stochastic cRSI. Divergence Settings Pivot Lookback Right: Number of bars to the right of the pivot for divergence detection. Pivot Lookback Left: Number of bars to the left of the pivot for divergence detection. Max of Lookback Range: Maximum number of bars to look back for divergence detection. Min of Lookback Range: Minimum number of bars to look back for divergence detection. Plot Bullish: Enable plotting of bullish divergence signals. Plot Hidden Bullish: Enable plotting of hidden bullish divergence signals. Plot Bearish: Enable plotting of bearish divergence signals. Plot Hidden Bearish: Enable plotting of hidden bearish divergence signals. Delay Plot Until Candle is Closed: Prevents repainting by delaying the plotting of divergence signals until the candle is fully closed.
Pine Script® göstergesi
GabrielAmadeusLau tarafından
1
The Adaptive Pairwise Momentum System [QuantraSystems]The Adaptive Pairwise Momentum System QuantraSystems guarantees that the information created and published within this document and on the Tradingview platform is fully compliant with applicable regulations, does not constitute investment advice, and is not exclusively intended for qualified investors. Important Note! The system equity curve presented here has been generated as part of the process of testing and verifying the methodology behind this script. Crucially, it was developed after the system was conceptualized, designed, and created, which helps to mitigate the risk of overfitting to historical data. In other words, the system was built for robustness, not for simply optimizing past performance. This ensures that the system is less likely to degrade in performance over time, compared to hyper-optimized systems that are tailored to past data. No tweaks or optimizations were made to this system post-backtest. Even More Important Note!! The nature of markets is that they change quickly and unpredictably. Past performance does not guarantee future results - this is a fundamental rule in trading and investing. While this system is designed with broad, flexible conditions to adapt quickly to a range of market environments, it is essential to understand that no assumptions should be made about future returns based on historical data. Markets are inherently uncertain, and this system - like all trading systems - cannot predict future outcomes. Introduction The Adaptive Pairwise Momentum System is not just an indicator but a comprehensive asset rotation and trend-following system. In short, it aims to find the highest performing asset from the provided range. The system dynamically optimizes capital allocation across up to four high-performing assets, ensuring that the portfolio adapts swiftly to changing market conditions. The system logic consists of sophisticated quantitative methods, rapid momentum analysis, and robust trend filtering. The overarching goal is to ensure that the portfolio is always invested in the highest-performing asset based on dynamic market conditions, while at the same time managing risk through broader market filters and internal mechanisms like volatility and beta analysis. Legend System Equity Curve: The equity curve displayed in the chart is dynamically colored based on the asset allocation at any given time. This color-coded approach allows traders to immediately identify transitions between assets and the corresponding impact on portfolio performance. Highlighting of Current Highest Performer: The current bar in the chart is highlighted based on the confirmed highest performing asset. This is designed to give traders advanced notice of potential shifts in allocation even before a formal position change occurs. The highlighting enables traders to prepare in real time, making it easier to manage positions without lag, particularly in fast-moving markets. Highlighted Symbols in the Asset Table: In the table displayed on the right hand side of the screen, the current top-performing symbol is highlighted. This clear signal at a glance provides immediate insight into which asset is currently being favored by the system. This feature enhances clarity and helps traders make informed decisions quickly, without needing to analyze the underlying data manually. Performance Overview in Tables: The left table provides insight into both daily and overall system performance from inception, offering traders a detailed view of short-term fluctuations and long-term growth. The right-hand table breaks down essential metrics such as Sharpe ratio, Sortino ratio, Omega ratio, and maximum drawdown for each asset, as well as for the overall system and HODL strategy. Asset-Specific Signals: The signals column in the table indicates whether an asset is currently held or being considered for holding based on the system's dynamic rankings. This is a critical visual aid for asset reallocation decisions, signaling when it may be appropriate to either maintain or change the asset of the portfolio. Core Features and Methodologies Flexibility in Asset Selection One of the major advantages of this system is its flexibility. Users can easily modify the number and type of assets included for comparison. You can quickly input different assets and backtest their performance, allowing you to verify how well this system might fit different tokens or market conditions. This flexibility empowers users to adapt the system to a wide range of market environments and tailor it to their unique preferences. Whole System Risk Mitigation - Macro Trend Filter One of the features of this script is its integration of a Macro-level Trend Filter for the entire portfolio. The purpose of this filter is to ensure no capital is allocated to any token in the rotation system unless Bitcoin itself is in a positive trend. The logic here is that Bitcoin, as the cryptocurrency market leader, often sets the tone for the entire cryptocurrency market. By using Bitcoins trend direction as a barometer for overall market conditions, we create a system where capital is not allocated during unfavorable or bearish market conditions - significantly reducing exposure to downside risk. Users have the ability to toggle this filter on and off in the input menu, with five customizable options for the trend filter, including the option to use no filter. These options are: Nova QSM - a trend aggregate combining the Rolling VWAP, Wave Pendulum Trend, KRO Overlay, and the Pulse Profiler provides the market trend signal confirmation. Kilonova QSM - a versatile aggregate combining the Rolling VWAP, KRO Overlay, the KRO Base, RSI Volatility Bands, NNTRSI, Regression Smoothed RSI and the RoC Suite. Quasar QSM - an enhanced version of the original RSI Pulsar. The Quasar QSM refines the trend following approach by utilizing an aggregated methodology. Pairwise Momentum and Strength Ranking The backbone of this system is its ability to identify the strongest-performing asset in the selected pool, ensuring that the portfolio is always exposed to the asset showing the highest relative momentum. The system continually ranks these assets against each other and determines the highest performer by measure of past and coincident outperformance. This process occurs rapidly, allowing for swift responses to shifts in market momentum, which ensures capital is always working in the most efficient manner. The speed and precision of this reallocation strategy make the script particularly well-suited for active, momentum-driven portfolios. Beta-Adjusted Asset Selection as a Tiebreaker In the circumstance where two (or more) assets exhibit the same relative momentum score, the system introduces another layer of analysis. In the event of a strength ‘tie’ the system will preference maintaining the current position - that is, if the previously strongest asset is now tied, the system will still allocate to the same asset. If this is not the case, the asset with the higher beta is selected. Beta is a measure of an asset’s volatility relative to Bitcoin (BTC). This ensures that in bullish conditions, the system favors assets with a higher potential for outsized gains due to their inherent volatility. Beta is calculated based on the Average Daily Return of each asset compared to BTC. By doing this, the system ensures that it is dynamically adjusting to risk and reward, allocating to assets with higher risk in favorable conditions and lower risk in less favorable conditions. Dynamic Asset Reallocation - Opposed to Multi-Asset Fixed Intervals One of the standout features of this system is its ability to dynamically reallocate capital. Unlike traditional portfolio allocation strategies that may rebalance between a basket of assets monthly or quarterly, this system recalculates and reallocates capital on the next bar close (if required). As soon as a new asset exhibits superior performance relative to others, the system immediately adjusts, closing the previous position and reallocating funds to the top-ranked asset. This approach is particularly powerful in volatile markets like cryptocurrencies, where trends can shift quickly. By reallocating swiftly, the system maximizes exposure to high-performing assets while minimizing time spent in underperforming ones. Moreover, this process is entirely automated, freeing the trader from manually tracking and measuring individual token strength. Our research has demonstrated that, from a risk-adjusted return perspective, concentration into the top-performing asset consistently outperforms broad diversification across longer time horizons. By focusing capital on the highest-performing asset, the system captures outsized returns that are not achievable through traditional diversification. However, a more risk-averse investor, or one seeking to reduce drawdowns, may prefer to move the portfolio further left along the theoretical Capital Allocation Line by incorporating a blend of cash, treasury bonds, or other yield-generating assets or even include market neutral strategies alongside the rotation system. This hybrid approach would effectively lower the overall volatility of the portfolio while still maintaining exposure to the system’s outsized returns. In theory, such an investor can reduce risk without sacrificing too much potential upside, creating a more balanced risk-return profile. Position Changes and Fees/Slippage Another critical and often overlooked element of this system is its ability to account for fees and slippage. Given the increased speed and frequency of allocation logic compared to the buy-and-hold strategy, it is of vital importance that the system recognises that switching between assets may incur slippage, especially in highly volatile markets. To account for this, the system integrates realistic slippage and fee estimates directly into the equity curve, simulating expected execution costs under typical market conditions and gives users a more realistic view of expected performance. Number of Position Changes Understanding the number of position changes in a strategy is critical to assessing its feasibility in real world trading. Frequent position changes can lead to increased costs due to slippage and fees. Monitoring the number of position changes provides insight into the system’s behavior - helping to evaluate how active the strategy is and whether it aligns with the trader's desired time input for position management. Equity Curve and Performance Calculations To provide a benchmark, the script also generates a Buy-and-Hold (or "HODL") equity curve that represents an equal split across the four selected assets. This allows users to easily compare the performance of the dynamic rotation system with that of a more traditional investment strategy. The script tracks key performance metrics for both the dynamic portfolio and the HODL strategy, including: Sharpe Ratio The Sharpe Ratio is a key metric that evaluates a portfolio’s risk-adjusted return by comparing its ‘excess’ return to its volatility. Traditionally, the Sharpe Ratio measures returns relative to a risk-free rate. However, in our system’s calculation, we omit the risk-free rate and instead measure returns above a benchmark of 0%. This adjustment provides a more universal comparison, especially in the context of highly volatile assets like cryptocurrencies, where a traditional risk-free benchmark, such as the usual 3-month T-bills, is often irrelevant or too distant from the realities of the crypto market. By using 0% as the baseline, we focus purely on the strategy's ability to generate raw returns in the face of market risk, which makes it easier to compare performance across different strategies or asset classes. In an environment like cryptocurrency, where volatility can be extreme, the importance of relative return against a highly volatile backdrop outweighs comparisons to a risk-free rate that bears little resemblance to the risk profile of digital assets. Sortino Ratio The Sortino Ratio improves upon the Sharpe Ratio by specifically targeting downside risk and leaves the upside potential untouched. In contrast to the Sharpe Ratio (which penalizes both upside and downside volatility), the Sortino Ratio focuses only on negative return deviations. This makes it a more suitable metric for evaluating strategies like the Adaptive Pairwise Momentum Strategy - that aim to minimize drawdowns without restricting upside capture. By measuring returns relative to a 0% baseline, the Sortino ratio provides a clearer assessment of how well the system generates gains while avoiding substantial losses in highly volatile markets like crypto. Omega Ratio The Omega Ratio is calculated as the ratio of gains to losses across all return thresholds, providing a more complete view of how the system balances upside and downside risk even compared to the Sortino Ratio. While it achieves a similar outcome to the Sortino Ratio by emphasizing the system's ability to capture gains while limiting losses, it is technically a mathematically superior method. However, we include both the Omega and Sortino ratios in our metric table, as the Sortino Ratio remains more widely recognized and commonly understood by traders and investors of all levels. Case Study Notes For the sake of brevity, the Important Notes section found in the header of this text will not be rewritten. Instead, it will be highlighted that now is the perfect time to reread these notes. Reading this case study in the context of what has been mentioned above is of key importance. As a second note, it is worth mentioning that certain market periods are referred to as either “Bull” or “Bear” markets - terms I personally find to be vague and undefinable - and therefore unfavorable. They will be used nevertheless, due to their familiarity and ease of understanding in this context. Substitute phrases could be “Macro Uptrend” or “Macro Downtrend.” Overview This case study provides an in-depth performance analysis of the Adaptive Pairwise Momentum System , a long-only system that dynamically allocates to outperforming assets and moves into cash during unfavorable conditions. This backtest includes realistic assumptions for slippage and fees, applying a 0.5% cost for every position change, which includes both asset reallocation and moving to a cash position. Additionally, the system was tested using the top four cryptocurrencies by market capitalization as of the test start date of 01/01/2022 in order to minimize selection bias. The top tokens on this date (excluding Stablecoins) were: Bitcoin Ethereum Solana BNB This decision was made in order to avoid cherry picking assets that might have exhibited exceptional historical performance - minimizing skew in the back test. Furthermore, although this backtest focuses on these specific assets, the system is built to be flexible and adaptable, capable of being applied to a wide range of assets beyond those initially tested. Any potential lookahead bias or repainting in the calculations has been addressed by implementing the lookback modifier for all repainting sensitive data, including asset ratios, asset scoring, and beta values. This ensures that no future information is inadvertently used in the asset allocation process. Additionally, a fixed lookback period of one bar is used for the trend filter during allocations - meaning that the trend filter from the prior bar must be positive for an allocation to occur on the current bar. It is also important to note that all the data displayed by the indicator is based on the last confirmed (closed) bar, ensuring that the entire system is repaint-proof. The study spans the 2022 cryptocurrency bear market through the subsequent bull market of 2023 and 2024. The stress test highlights how the system reacted to one of the most challenging market downturns in crypto history - which includes events such as: Luna and TerraUSD crash Three Arrows Capital liquidation Celsius bankruptcy Voyager Digital bankruptcy FTX collapse Silicon Valley + Signature + Silvergate banking collapses Subsequent USDC deppegging And arguably more important, 2022 was characterized by a tightening of monetary policy after the unprecedented monetary easing in response to the Covid pandemic of 2020/2021. This shift undeniably puts downward pressure on asset prices, most probably to the extent that this had a causal role to many of the above events. By incorporating these real-world challenges, the backtest provides a more accurate and robust performance evaluation that avoids overfitting or excessive optimization for one specific market condition. The Bear Market of 2022: Stress Test and System Resilience During the 2022 bear market, where the overall crypto market experienced deep and consistent corrections, the Adaptive Pairwise Momentum System demonstrated its ability to mitigate downside risk effectively. Dynamic Allocation and Cash Exposure: The system rotated in and out of cash, as indicated by the gray period on the system equity curve. This allocation to cash during downtrending periods, specifically in late 2022, acted as the systems ‘risk-off’ exposure - the purest form of such an exposure. This prevented the system from experiencing the magnitude of drawdown suffered by the ‘Buy-and-Hold (HODL) investors. In contrast, a passive HODL strategy would have suffered a staggering 75.32% drawdown, as it remained fully allocated to chosen assets during the market's decline. The active Pairwise Momentum system’s smaller drawdown of 54.35% demonstrates its more effective capital preservation mechanisms. The Bull Market of 2023 and 2024: Capturing Market Upside Following the crypto bear market, the system effectively capitalized on the recovery and subsequent bull market of 2023 and 2024. Maximizing Market Gains: As trends began turning bullish in early 2023, the system caught the momentum and promptly allocated capital to only the quantified highest performing asset of the time - resulting in a parabolic rise in the system's equity curve. Notably, the curve transitions from gray to purple during this period, indicating that Solana (SOL) was the top-performing asset selected by the system. This allocation to Solana is particularly striking because, at the time, it was an asset many in the market shunned due to its association with the FTX collapse just months prior. However, this highlights a key advantage of quantitative systems like the one presented here: decisions are driven purely from objective data - free from emotional or subjective biases. Unlike human traders, who are inclined (whether consciously or subconsciously) to avoid assets that are ‘out of favor,’ this system focuses purely on price performance, often uncovering opportunities that are overlooked by discretionary based investors. This ability to make data-driven decisions ensures that the strategy is always positioned to capture the best risk-adjusted returns, even in scenarios where judgment might fail. Minimizing Volatility and Drawdown in Uptrends While the system captured substantial returns during the bull market it also did so with lower volatility compared to HODL. The sharpe ratio of 4.05 (versus HODL’s 3.31) reflects the system's superior risk-adjusted performance. The allocation shifts, combined with tactical periods of cash holding during minor corrections, ensured a smoother equity curve growth compared to the buy-and-hold approach. Final Summary The percentage returns are mentioned last for a reason - it is important to emphasize that risk-adjusted performance is paramount. In this backtest, the Pairwise Momentum system consistently outperforms due to its ability to dynamically manage risk (as seen in the superior Sharpe, Sortino and Omega ratios). With a smaller drawdown of 54.35% compared to HODL’s 75.32%, the system demonstrates its resilience during market downturns, while also capturing the highest beta on the upside during bullish phases. The system delivered 266.26% return since the backtest start date of January 1st 2022, compared to HODL’s 10.24%, resulting in a performance delta of 256.02% While this backtest goes some of the way to verifying the system’s feasibility, it’s important to note that past performance is not indicative of future results - especially in volatile and evolving markets like cryptocurrencies. Market behavior can shift, and in particular, if the market experiences prolonged sideways action, trend following systems such as the Adaptive Pairwise Momentum Strategy WILL face significant challenges.
Pine Script® göstergesi
Cryptosystems tarafından
Prometheus Topological Persistent EntropyPersistence Entropy falls under the branch of math topology. Topology is a study of shapes as they twist and contort. It can be useful in the context of markets to determine how volatile they may be and different from the past. The key idea is to create a persistence diagram from these log return segments. The persistence diagram tracks the "birth" and "death" of price features: A birth occurs when a new price pattern or feature emerges in the data. A death occurs when that pattern disappears. By comparing prices within each segment, the script tracks how long specific price features persist before they die out. The lifetime of each feature (difference between death and birth) represents how robust or fleeting the pattern is. Persistent price features tend to reflect stable trends, while shorter-lived features indicate volatility. Entropy Calculation: The lifetimes of these patterns are then used to compute the entropy of the system. Entropy, in this case, measures the amount of disorder or randomness in the price movements. The more varied the lifetimes, the higher the entropy, indicating a more volatile market. If the price patterns exhibit longer, more consistent lifetimes, the entropy is lower, signaling a more stable market. Calculation: We start by getting log returns for a user defined look back value. In the compute_persistent_entropy function we separate the overall log returns into windows. We then compute persistence diagrams of the windows. It tracks the birth and death of price patterns to see how persistent they are. Then we calculate the entropy of the windows. After we go through that process we get an array of entropies, we then smooth it by taking the sum of all of them and dividing it by how many we have so the indicator can function better. // Calculate log returns log_returns = array.new() for i = 1 to lgr_lkb array.push(log_returns, math.log(close / close )) // Function to compute a simplified persistence diagram compute_persistence_diagram(segment) => n = array.size(segment) lifetimes = array.new() for i = 0 to n - 1 for j = i + 1 to n - 1 birth = array.get(segment, i) death = array.get(segment, j-1) if birth != death array.push(lifetimes, math.abs(death - birth)) lifetimes // Function to compute entropy of a list of values compute_entropy(values) => n = array.size(values) if n == 0 0.0 else freq_map = map.new() total_sum = 0.0 for i = 0 to n - 1 value = array.get(values, i) //freq_map := freq_map.get(value, 0.0) + 1 map.put(freq_map, value, value + 1) total_sum += 1 entropy = 0.0 for in freq_map p = count / total_sum entropy -= p * math.log(p) entropy compute_persistent_entropy(log_returns, window_size) => n = (lgr_lkb) - (2 * window_size) + 1 entropies = array.new() for i = 0 to n - 1 segment1 = array.new() segment2 = array.new() for j = 0 to window_size - 1 array.push(segment1, array.get(log_returns, i + j)) array.push(segment2, array.get(log_returns, i + window_size + j)) dgm1 = compute_persistence_diagram(segment1) dgm2 = compute_persistence_diagram(segment2) combined_diagram = array.concat(dgm1, dgm2) entropy = compute_entropy(combined_diagram) array.push(entropies, entropy) entropies //--------------------------------------------- //---------------PE---------------------------- //--------------------------------------------- // Calculate Persistent Entropy entropies = compute_persistent_entropy(log_returns, window_size) smooth_pe = array.sum(entropies) / array.size(entropies) This image illustrates how the indicator works for traders. The purple line is the actual indicator value. The line that changes from green to red is a SMA of the indicator value, we use this to determine bullish or bearish. When the smoothed persistence entropy is above it’s SMA that signals bearishness. The indicator tends to look prettier on higher time frames, we see NASDAQ:TSLA on a 4 hour here and below we see it on the 5 minute. On a lower time frame it looks a little weird but still functions the same way. Prometheus encourages users to use indicators as tools along with their own discretion. No indicator is 100% accurate. We encourage comments about requested features and criticism.
Pine Script® göstergesi
ScorsoneEnterprises tarafından
5
Options Series - MTF 1 and 3 Minute Objective: The indicator is named "Options Series - MTF 1 and 3 Minute", suggesting it's designed to analyze options series with multiple time frames (MTF), particularly focusing on 1-minute and 3-minute intervals. OHLC Values Of Candle: The code fetches the Open, High, Low, and Close (OHLC) values of the current candle for the specified ticker and timeframes (current, 1 minute, and 3 minutes). Additionally, it calculates the 200-period Simple Moving Average (SMA) of the closing prices for each timeframe. Bull vs. Bear Condition: It defines conditions for Bullish and Bearish scenarios based on comparing the current close price with the previous 200-period SMA close price for both 1-minute and 3-minute timeframes. If the current close price is higher than the previous 200-period SMA close price, it's considered Bullish, and if it's lower, it's considered Bearish. Final Color Condition and Plot: It determines the color of the candlestick based on the Bullish or Bearish condition. If the conditions for a Bullish scenario are met, the candlestick color is set to green (GreenColorCandle). If the conditions for a Bearish scenario are met, the candlestick color is set to red (RedColorCandle). If neither condition is met (i.e., the candle is neither Bullish nor Bearish), the color remains gray. The code then plots the 200-period SMA values for both 1-minute and 3-minute timeframes and colors them based on the candlestick color. It also colors the bars based on the candlestick color. Insights: This indicator focuses on comparing current close prices with the 200-period SMA close prices to determine market sentiment (Bullish or Bearish). It utilizes multiple time frames (1 minute and 3 minutes) to provide a broader perspective on market movements. The color-coded candlesticks and bars make it visually easy to identify Bullish and Bearish trends. This indicator can be used as part trading based on the identified market sentiment.
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Options_Series tarafından
1
Swiss Knife [MERT]Introduction The Swiss Knife indicator is a comprehensive trading tool designed to provide a multi-dimensional analysis of the market. By integrating a wide array of technical indicators across multiple timeframes, it offers traders a holistic view of market sentiment, momentum, and potential reversal points. This indicator is particularly useful for traders looking to combine trend analysis, momentum indicators, volume data, and price action into a single, easy-to-read format. --- Key Features Multi-Timeframe Analysis : Evaluates indicators on Daily , 4-Hour , 1-Hour , and 15-Minute timeframes. Comprehensive Indicator Suite : Incorporates MACD , Awesome Oscillator (AO) , Parabolic SAR , SuperTrend , DPO , RSI , Stochastic Oscillator , Bollinger Bands , Ichimoku Cloud , Chande Momentum Oscillator (CMO) , Donchian Channels , ADX , volume-based momentum indicators, Fractals , and divergence detection. Market Sentiment Scoring : Aggregates signals from multiple indicators to provide an overall sentiment score. Visual Aids : Displays EMA lines, trendlines, divergence signals, and a sentiment table directly on the chart. Super Trend Reversal Signals : Identifies potential market reversal points by assessing the momentum of automated trading bots. --- Explanation of Each Indicator Moving Average Convergence Divergence (MACD) - Purpose : Measures the relationship between two moving averages of price. - Interpretation : A positive histogram suggests bullish momentum; a negative histogram indicates bearish momentum. Awesome Oscillator (AO) - Purpose : Gauges market momentum by comparing recent market movements to historic ones. - Interpretation : Above zero indicates bullish momentum; below zero indicates bearish momentum. Parabolic SAR (SAR) - Purpose : Identifies potential reversal points in price direction. - Interpretation : Dots below price suggest an uptrend; dots above price suggest a downtrend. SuperTrend - Purpose : Determines the prevailing market trend. - Interpretation : Provides buy or sell signals based on price movements relative to the SuperTrend line. Detrended Price Oscillator (DPO) - Purpose : Removes trend from price to identify cycles. - Interpretation : Values above zero suggest price is above the moving average; values below zero indicate it is below. Relative Strength Index (RSI) - Purpose : Measures the speed and change of price movements. - Interpretation : Values above 50 indicate bullish momentum; values below 50 indicate bearish momentum. Stochastic Oscillator - Purpose : Compares a particular closing price to a range of its prices over a certain period. - Interpretation : Values above 50 indicate bullish conditions; values below 50 indicate bearish conditions. Bollinger Bands (BB) - Purpose : Measures market volatility and provides relative price levels. - Interpretation : Price above the middle band suggests bullishness; below the middle band suggests bearishness. Ichimoku Cloud - Purpose : Provides support and resistance levels, trend direction, and momentum. - Interpretation : Bullish signals when price is above the cloud; bearish signals when price is below the cloud. Chande Momentum Oscillator (CMO) - Purpose : Measures momentum on both up and down days. - Interpretation : Values above 50 indicate strong upward momentum; values below -50 indicate strong downward momentum. Donchian Channels - Purpose : Identifies volatility and potential breakouts. - Interpretation : Price above the upper band suggests bullish breakout; below the lower band suggests bearish breakout. Average Directional Index (ADX) - Purpose : Measures the strength of a trend. - Interpretation : DI+ above DI- indicates bullish trend; DI- above DI+ indicates bearish trend. Volume Momentum Indicators (VolMom, CumVolMom, POCMom) - Purpose : Analyze volume to assess buying and selling pressure. - Interpretation : Positive values suggest bullish volume momentum; negative values indicate bearish volume momentum. Fractals - Purpose : Identify potential reversal points in the market. - Interpretation : Up fractals may indicate a future downtrend; down fractals may indicate a future uptrend. Divergence Detection - Purpose : Identifies divergences between price and various indicators (RSI, MACD, Stochastic, OBV, MFI, A/D Line). - Interpretation : Bullish divergences suggest potential upward reversal; bearish divergences suggest potential downward reversal. - Note : This functionality utilizes the library from Divergence Indicator . --- Coloring Scheme Background Color - Purpose : Reflects the overall market sentiment by combining sentiment scores from all indicators across different timeframes. - Interpretation : - Green Shades : Indicate bullish market sentiment. - Red Shades : Indicate bearish market sentiment. - Intensity : The strength of the color corresponds to the strength of the sentiment score. Sentiment Table - Purpose : Displays the status of each indicator across different timeframes. - Interpretation : - Green Cell : The indicator suggests a bullish signal. - Red Cell : The indicator suggests a bearish signal. - Percentage Score : Indicates the overall bullish or bearish sentiment on that timeframe. Exponential Moving Averages (EMAs) - Purpose : Provide dynamic support and resistance levels. - Colors : - EMA 10 : Lime - EMA 20 : Yellow - EMA 50 : Orange - EMA 100 : Red - EMA 200 : Purple Trendlines - Purpose : Visual representation of support and resistance levels based on pivot points. - Interpretation : - Upward Trendlines : Colored green , indicating support levels. - Downward Trendlines : Colored red , indicating resistance levels. - Note : Trendlines are drawn using the library from Simple Trendlines . --- Utility of Market Sentiment The indicator aggregates signals from multiple technical indicators across various timeframes to compute an overall market sentiment score . This comprehensive approach helps traders understand the prevailing market conditions by: Confirming Trends : Multiple indicators pointing in the same direction can confirm the strength of a trend. Identifying Reversals : Divergences and fractals can signal potential turning points. Timeframe Alignment : Aligning signals across different timeframes can enhance the probability of successful trades. --- Divergences Divergence occurs when the price of an asset moves in the opposite direction of a technical indicator, suggesting a potential reversal. - Bullish Divergence : Price makes a lower low, but the indicator makes a higher low. - Bearish Divergence : Price makes a higher high, but the indicator makes a lower high. The indicator detects divergences for: RSI MACD Stochastic Oscillator On-Balance Volume (OBV) Money Flow Index (MFI) Accumulation/Distribution Line (A/D Line) By identifying these divergences, traders can spot early signs of trend reversals and adjust their strategies accordingly. --- Trendlines Trendlines are essential tools for identifying support and resistance levels. The indicator automatically draws trendlines based on pivot points: - Upward Trendlines (Support) : Connect higher lows, indicating an uptrend. - Downward Trendlines (Resistance) : Connect lower highs, indicating a downtrend. These trendlines help traders visualize the trend direction and potential breakout or reversal points. --- Super Trend Reversals (ST Reversal) The core idea behind the Super Trend Reversals indicator is to assess the momentum of automated trading bots (often referred to as 'Supertrend bots') that enter the market during critical turning points. Specifically, the indicator is tuned to identify when the market is nearing bottoms or peaks, just before it shifts direction based on the triggered Supertrend signals. This approach helps traders: Engage Early : Enter the market as reversal momentum builds up. Optimize Entries and Exits : Enter under favorable conditions and exit before momentum wanes. By capturing these reversal points, traders can enhance their trading performance. --- Conclusion The Swiss Knife indicator serves as a versatile tool that combines multiple technical analysis methods into a single, comprehensive indicator. By assessing various aspects of the market—including trend direction, momentum, volume, and price action—it provides traders with valuable insights to make informed trading decisions. --- Citations - Divergence Detection Library : Divergence Indicator by DevLucem - Trendline Drawing Library : Simple Trendlines by HoanGhetti --- Note : This indicator is intended for informational purposes and should be used in conjunction with other analysis techniques. Always perform due diligence before making trading decisions. ---
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UnknownUnicorn13336802 tarafından
10
Potential Divergence Checker#### Key Features 1. Potential Divergence Signals: Potential divergences can signal a change in price movement before it occurs. This indicator identifies potential divergences instead of waiting for full confirmation, allowing it to detect signs of divergence earlier than traditional methods. This provides more flexible entry points and can act as a broader filter for potential setups. 2. Exposing Signals for External Use: One of its advanced features is the ability to expose signals for use in other scripts. This allows users to integrate divergence signals and related entry/exit points into custom strategies or automated systems. 3. Custom Entry/Exit Timing Based on Years and Days: The indicator provides entry and exit signals based on years and days, which could be useful for time-specific market behavior, long-term trades, and back testing. #### Basic Usage This indicator can check for all types of potential divergences: bullish, hidden bullish, bearish, hidden bearish. All you need to do is choose the type you want to check for under “DIVERGENCE TYPE” in the settings. On the chart, potential bullish divergences will show up as triangles below the price candles. one the chart potential bearish divergences will show up as upside down triangles above the price candles #### Signals for Advanced Usage You can use this indicator as a source in other indicators or strategies using the following information: “ PD: Bull divergence signal ” will return “1” when a divergence is present and “0” when not present “ PD: HBull divergence(hidden bull) signal ” will return “1” when a divergence is present and “0” when not present “ PD: Bear divergence signal ” will return “1” when a divergence is present and “0” when not present “ PD: HBear divergence(hidden bear) signal ” will return “1” when a divergence is present and “0” when not present “ PD: enter ” signal will return a “1” when both the days and years criteria in the “entry filter settings” are met and “0” when not met. “ PD: exit ” signal will return a “1” when the days criteria in the “exit filter settings” are met and “0” when not met. #### Examples of Using Signals 1. If you are testing a long strategy for Bitcoin and do not want it to run during bear market years(e.g., the second year after a US presidential election), you can enable the “year and day filter for entry,” uncheck the following years in the settings: 2010, 2014, 2018, 2022, 2026, and reference the signal below in our strategy signal: “ PD: enter ” 2. Let’s say you have a good long strategy, but want to make it a bit more profitable, you can tell the strategy not to run on days where there is potential bearish divergence and have it only run on more profitable days using these signals and the appropriate settings in the indicator signal: “ PD: Bear divergence signal ” will return a ‘0’ with no bearish divergence present signal: “ PD: enter ” will return a “1” if the entry falls on a specific, more profitable day chosen in the settings #### Disclaimer The "Potential Divergence Checker" indicator is a tool designed to identify potential market signals. It may have bugs and not do what it should do. It is not a guarantee of future trading performance, and users should exercise caution when making trading decisions based on its outputs. Always perform your own research and consider consulting with a financial advisor before making any investment decisions. Trading involves significant risk, and past performance is not indicative of future results.
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shanenin tarafından
MTF AnalysisMTF Analysis - Multi-Timeframe TradingView Script Overview: The "MTF Analysis" script provides a comprehensive approach to analyzing price trends across daily, weekly, and monthly timeframes using linear regression channels. It helps traders identify strong and weak bullish or bearish conditions based on the relationship between the current price and regression lines derived from multiple timeframes. Key Features: User-Defined Inputs: Regression Lengths: Customize regression lengths for daily, weekly, and monthly timeframes. Smoothing Length: Apply smoothing to regression lines. Near-Zero Threshold: Filter out signals near a defined slope threshold for more refined analysis. Daily Time Frame Filter: Optional filter to consider daily regression slope in signal generation. Regression Line Calculation: The script calculates linear regression lines for each timeframe (daily, weekly, monthly) and applies a smoothing function to refine the signals. Signal Conditions: Strong Bullish/Bearish: Signals generated when the price is consistently above/below weekly and monthly regression lines, with the option to apply the daily timeframe filter. Weak Bullish/Bearish: Signals generated when the price is above/below the monthly regression line alone. Visual Indicators: The script plots regression lines on the chart with different colors for easy identification. It also displays arrows on the chart to indicate strong or weak bullish/bearish signals. Alerts: Custom alerts for each signal condition help traders stay informed of potential trading opportunities. This script is highly customizable, allowing traders to tailor it to their specific trading style and preferences. This summary can be used to introduce the script to other traders or for publication on platforms like TradingView.
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GlenAllan tarafından
Uptrick: FVG Market Zones**Uptrick: FVG Market Zones** --- ### Introduction **Uptrick: FVG Market Zones** is a cutting-edge technical analysis tool designed to identify and visualize Fair Value Gaps (FVGs) within financial markets. This indicator focuses on pinpointing critical price levels where significant gaps occur, which can act as potential support and resistance zones. By integrating advanced volatility analysis and user-configurable parameters, the **Uptrick: FVG Market Zones** provides traders with a robust framework for understanding market dynamics and making informed trading decisions. ### Purpose and Functionality The primary purpose of the **Uptrick: FVG Market Zones** indicator is to detect and highlight Fair Value Gaps, which are areas on a price chart where there is a significant price movement without any trading activity in between. These gaps can provide critical insights into market behavior, as they often indicate areas where the market has not fully accounted for the supply and demand dynamics. Traders use these zones to anticipate potential reversals, breakouts, or consolidations, making this tool highly valuable for both short-term and long-term trading strategies. ### Unique Features and Originality The **Uptrick: FVG Market Zones** indicator is distinguished by its focus on FVGs and its ability to integrate this concept into a broader market analysis framework. Unlike other indicators that may offer generalized support and resistance levels, this tool specifically identifies and visualizes gaps based on volatility-adjusted criteria. This precision allows traders to focus on the most relevant market zones, improving their ability to anticipate market movements. One of the standout features of this indicator is its user-configurable settings, which provide a high degree of customization. This flexibility ensures that traders can tailor the indicator to suit their specific trading style and the particular market they are analyzing. Additionally, the indicator's visualization capabilities are enhanced with customizable colors and gap-filling options, making it easier for traders to interpret and act on the information presented. ### Inputs and Configurations **Uptrick: FVG Market Zones** comes with several user inputs that allow traders to customize the indicator's behavior and appearance. Each input plays a crucial role in determining how the indicator identifies and visualizes FVGs on the chart. Here’s a detailed breakdown of each input: 1. **FVG Analysis Period (fvgPeriod):** - **Description:** This input determines the period over which the indicator analyzes the chart for identifying FVGs. By adjusting this value, traders can control how far back in time the indicator looks to detect significant gaps. - **Default Value:** 25 - **Purpose:** A shorter period may focus on more recent market activity, making the indicator more sensitive to recent price movements. In contrast, a longer period allows the indicator to identify gaps that have remained unfilled for an extended time, potentially acting as stronger support or resistance levels. 2. **Analysis Mode (mode):** - **Description:** The Analysis Mode input allows traders to choose between different methods of analyzing the chart for FVGs. - **Options:** "Recent Gaps" and "Extended View" - **Default Option:** "Recent Gaps" - **Purpose:** - **Recent Gaps:** Focuses on the latest significant gaps, providing traders with up-to-date information on the most relevant market zones. - **Extended View:** Considers a broader range of gap patterns, which can be useful in markets where historical gaps may still influence current price action. 3. **Volatility Sensitivity (volatilityFactor):** - **Description:** This input adjusts the sensitivity of the indicator to market volatility. It is used in calculating the threshold for identifying FVGs. - **Default Value:** 0.3 - **Step Size:** 0.1 - **Purpose:** A higher sensitivity will cause the indicator to detect smaller gaps, which might be more frequent but less significant. Lower sensitivity focuses on larger, more impactful gaps, which are less frequent but potentially more powerful in predicting market behavior. 4. **Highlight Market Gaps (showGaps):** - **Description:** A boolean input that determines whether the identified FVGs should be highlighted on the chart. - **Default Value:** True - **Purpose:** This input allows traders to toggle the visualization of FVGs. When enabled, the indicator highlights gaps using colored boxes, making them visually prominent on the chart. 5. **Bullish Highlight Color (bullColor):** - **Description:** Sets the color used to highlight bullish FVGs (gaps that may indicate support). - **Default Value:** #00FF7F (a shade of green) - **Purpose:** The color choice is crucial for quickly distinguishing bullish zones from bearish ones. Green is typically associated with upward price movement, making it intuitive for traders to identify potential support areas. 6. **Bearish Highlight Color (bearColor):** - **Description:** Sets the color used to highlight bearish FVGs (gaps that may indicate resistance). - **Default Value:** #FF4500 (a shade of red) - **Purpose:** Red is commonly associated with downward price movement, making it easy for traders to identify potential resistance areas. This color coding helps in quickly assessing the chart. 7. **Fill Gap Areas (fillGaps):** - **Description:** A boolean input that determines whether the FVGs should be filled with a color on the chart. - **Default Value:** True - **Purpose:** Filling the gap areas provides a more solid visual cue for traders. It enhances the visibility of the gaps, making it easier to spot these zones during fast-paced trading sessions. 8. **Hidden Color (hidden):** - **Description:** A color input that is used when certain elements should be hidden from the chart. - **Default Value:** color.rgb(0,0,0,100) (a semi-transparent black) - **Purpose:** This input is useful for controlling the visibility of certain plots or elements on the chart, ensuring that the indicator remains clean and uncluttered. ### Market Gap Detection The core functionality of the **Uptrick: FVG Market Zones** indicator lies in its ability to detect Fair Value Gaps. These gaps occur when the price makes a significant jump from one level to another without any trading activity in between. The indicator uses a combination of price action analysis and volatility thresholds to identify these gaps. - **Volatility Measurement:** The indicator begins by measuring market volatility using the Average True Range (ATR). This volatility measurement is then adjusted by the user-defined sensitivity factor, which determines the threshold for identifying significant gaps. - **Gap Identification:** The indicator checks for instances where the current low is higher than the high two bars ago (bullish gap) or where the current high is lower than the low two bars ago (bearish gap). These conditions signify a potential FVG. - **Gap Storage and Management:** Once a gap is identified, it is stored in an array. The indicator also manages the size of these arrays based on the selected analysis mode, ensuring that only the most relevant gaps are considered in the analysis. ### Visualization Visualization is a key component of the **Uptrick: FVG Market Zones** indicator. By providing clear and customizable visual cues, the indicator ensures that traders can quickly and easily interpret the information it provides. - **Gap Highlighting:** When enabled, the indicator highlights the identified FVGs on the chart using colored boxes. Bullish gaps are highlighted in green, while bearish gaps are highlighted in red. This color coding helps traders instantly recognize potential support and resistance zones. - **Gap Filling:** The indicator can also fill the identified gaps with a semi-transparent color. This option enhances the visibility of the gaps, making them more prominent on the chart. Filled gaps are particularly useful for traders who want to keep track of these zones over multiple trading sessions. - **Gap Averages:** The indicator calculates the average level of the identified gaps and plots these averages as lines on the chart. These lines represent the general area of support or resistance based on the detected gaps, providing traders with a reference point for setting their stop losses or profit targets. - **Text Labels:** The indicator also labels each FVG with the text "FVG" inside the highlighted area. This feature ensures that traders can easily identify these zones even in charts with dense price action. ### Practical Applications The **Uptrick: FVG Market Zones** indicator is versatile and can be applied to a wide range of trading strategies across different markets and timeframes. Here are a few examples of how this indicator can be used in practice: 1. **Support and Resistance Trading:** - Traders can use the identified FVGs as dynamic support and resistance levels. By placing their trades based on these levels, they can take advantage of potential reversals or continuations at key market zones. 2. **Gap Filling Strategy:** - Some traders focus on the concept of gap filling, where the market eventually returns to "fill" the gap created by rapid price movements. The **Uptrick: FVG Market Zones** indicator can help identify such gaps and anticipate when the market might return to these levels. 3. **Breakout Trading:** - The indicator can be used to identify breakouts from significant gaps. When the price moves beyond the identified FVGs, it may signal a strong trend continuation, providing an opportunity for breakout traders. 4. **Reversal Trading:** - By monitoring the signals generated by the indicator, traders can identify potential market reversals. A sell signal after a prolonged uptrend or a buy signal after a downtrend may indicate a reversal, allowing traders to position themselves accordingly. 5. **Risk Management:** - The average levels of the FVGs can be used to set stop-loss and take-profit levels. By aligning these levels with the FVG zones, traders can improve their risk management practices and enhance their trading discipline. ### Customization and Flexibility One of the standout features of the **Uptrick: FVG Market Zones** indicator is its high level of customization. Traders can adjust various parameters to tailor the indicator to their specific needs and preferences. - **Customizable Colors:** The indicator allows traders to choose their preferred colors for highlighting bullish and bearish gaps. This flexibility ensures that the indicator can be integrated seamlessly into any trading setup, regardless of the trader's color scheme preferences. - **Adjustable Periods and Sensitivity:** By allowing traders to adjust the analysis period and volatility sensitivity, the indicator can be fine-tuned to suit different market conditions. For example, a trader might use a shorter analysis period and higher sensitivity in a volatile market, while opting for a longer period and lower sensitivity in a more stable market. - **Toggling Visual Elements:** Traders can choose to enable or disable various visual elements of the indicator, such as gap highlighting, gap filling, and text labels. This level of control allows traders to declutter their charts and focus on the information that is most relevant to their trading strategy. ### Advantages and Benefits The **Uptrick: FVG Market Zones** indicator offers several key advantages that make it a valuable tool for traders: 1. **Precision:** By focusing on Fair Value Gaps, the indicator provides highly precise levels of support and resistance, which are often more reliable than traditional horizontal levels. 2. **Clarity:** The clear visual representation of FVGs, along with the text labels and color coding, ensures that traders can quickly interpret the indicator's signals and incorporate them into their trading decisions. 3. **Adaptability:** The indicator's customizable settings allow it to be adapted to different markets, timeframes, and trading styles. Whether you are a day trader, swing trader, or long-term investor, this indicator can be tailored to meet your needs. 4. **Enhanced Decision-Making:** The trading signals generated by the indicator provide actionable insights that can help traders make more informed decisions. By aligning their trades with the identified FVG zones, traders can improve their chances of success. 5. **Risk Management:** The use of FVG zones as reference points for stop-loss and take-profit levels enhances risk management practices, helping traders protect their capital while maximizing their profit potential. ### Conclusion The **Uptrick: FVG Market Zones** indicator is a powerful and versatile tool for traders seeking to enhance their market analysis and improve their trading outcomes. By focusing on Fair Value Gaps and providing a high level of customization, this indicator offers a unique blend of precision, clarity, and adaptability. Whether you are looking to identify key market zones, generate trading signals, or improve your risk management practices, the **Uptrick: FVG Market Zones** indicator is a valuable addition to any trader's toolkit. With its innovative approach to market analysis and user-friendly design, **Uptrick: FVG Market Zones** stands out as an essential tool for traders who want to stay ahead of the market and make more informed trading decisions. Whether you are trading stocks, forex, commodities, or cryptocurrencies, this indicator provides the insights you need to navigate the markets with confidence and success.
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Uptrick tarafından
2
Price Action Smart Money Concepts [BigBeluga]THE SMART MONEY CONCEPTS Toolkit The Smart Money Concepts [ BigBeluga ] is a comprehensive toolkit built around the principles of "smart money" behavior, which refers to the actions and strategies of institutional investors. The Smart Money Concepts Toolkit brings together a suite of advanced indicators that are all interconnected and built around a unified concept: understanding and trading like institutional investors, or "smart money." These indicators are not just randomly chosen tools; they are features of a single overarching framework, which is why having them all in one place creates such a powerful system. This all-in-one toolkit provides the user with a unique experience by automating most of the basic and advanced concepts on the chart, saving them time and improving their trading ideas. Real-time market structure analysis simplifies complex trends by pinpointing key support, resistance, and breakout levels. Advanced order block analysis leverages detailed volume data to pinpoint high-demand zones, revealing internal market sentiment and predicting potential reversals. This analysis utilizes bid/ask zones to provide supply/demand insights, empowering informed trading decisions. Imbalance Concepts (FVG and Breakers) allows traders to identify potential market weaknesses and areas where price might be attracted to fill the gap, creating opportunities for entry and exit. Swing failure patterns help traders identify potential entry points and rejection zones based on price swings. Liquidity Concepts, our advanced liquidity algorithm, pinpoints high-impact events, allowing you to predict market shifts, strong price reactions, and potential stop-loss hunting zones. This gives traders an edge to make informed trading decisions based on liquidity dynamics. 🔵 FEATURES The indicator has quite a lot of features that are provided below: Swing market structure Internal market structure Mapping structure Adjustable market structure Strong/Weak H&L Sweep Volumetric Order block / Breakers Fair Value Gaps / Breakers (multi-timeframe) Swing Failure Patterns (multi-timeframe) Deviation area Equal H&L Liquidity Prints Buyside & Sellside Sweep Area Highs and Lows (multi-timeframe) 🔵 BASIC DEMONSTRATION OF ALL FEATURES 1. MARKET STRUCTURE The preceding image illustrates the market structure functionality within the Smart Money Concepts indicator. ➤ Solid lines: These represent the core indicator's internal structure, forming the foundation for most other components. They visually depict the overall market direction and identify major reversal points marked by significant price movements (denoted as 'x'). ➤ Internal Structure: These represent an alternative internal structure with the potential to drive more rapid market shifts. This is particularly relevant when a significant gap exists in the established swing structure, specifically between the Break of Structure (BOS) and the most recent Change of High/Low (CHoCH). Identifying these formations can offer opportunities for quicker entries and potential short-term reversals. ➤ Sweeps (x): These signify potential turning points in the market where liquidity is removed from the structure. This suggests a possible trend reversal and presents crucial entry opportunities. Sweeps are identified within both swing and internal structures, providing valuable insights for informed trading decisions. ➤ Mapping structure: A tool that automatically identifies and connects significant price highs and lows, creating a zig-zag pattern. It visualizes market structure, highlights trends, support/resistance levels, and potential breakouts. Helps traders quickly grasp price action patterns and make informed decisions. ➤ Color-coded candles based on market structure: These colors visually represent the underlying market structure, making it easier for traders to quickly identify trends. ➤ Extreme H&L: It visualizes market structure with extreme high and lows, which gives perspective for macro Market Structure. 2. VOLUMETRIC ORDER BLOCKS Order blocks are specific areas on a financial chart where significant buying or selling activity has occurred. These are not just simple zones; they contain valuable information about market dynamics. Within each of these order blocks, volume bars represent the actual buying and selling activity that took place. These volume bars offer deeper insights into the strength of the order block by showing how much buying or selling power is concentrated in that specific zone. Additionally, these order blocks can be transformed into Breaker Blocks. When an order block fails—meaning the price breaks through this zone without reversing—it becomes a breaker block. Breaker blocks are particularly useful for trading breakouts, as they signal that the market has shifted beyond a previously established zone, offering opportunities for traders to enter in the direction of the breakout. Here's a breakdown: ➤ Bear Order Blocks (Red): These are zones where a lot of selling happened. Traders see these areas as places where sellers were strong, pushing the price down. When the price returns to these zones, it might face resistance and drop again. ➤ Bull Order Blocks (Green): These are zones where a lot of buying happened. Traders see these areas as places where buyers were strong, pushing the price up. When the price returns to these zones, it might find support and rise again. These Order Blocks help traders identify potential areas for entering or exiting trades based on past market activity. The volume bars inside blocks show the amount of trading activity that occurred in these blocks, giving an idea of the strength of buying or selling pressure. ➤ Breaker Block: When an order block fails, meaning the price breaks through this zone without reversing, it becomes a breaker block. This indicates a significant shift in market liquidity and structure. ➤ A bearish breaker block occurs after a bullish order block fails. This typically happens when there's an upward trend, and a certain level that was expected to support the market's rise instead gives way, leading to a sharp decline. This decline indicates that sellers have overcome the buyers, absorbing liquidity and shifting the sentiment from bullish to bearish. Conversely, a bullish breaker block is formed from the failure of a bearish order block. In a downtrend, when a level that was expected to act as resistance is breached, and the price shoots up, it signifies that buyers have taken control, overpowering the sellers. 3. FAIR VALUE GAPS: A fair value gap (FVG), also referred to as an imbalance, is an essential concept in Smart Money trading. It highlights the supply and demand dynamics. This gap arises when there's a notable difference between the volume of buy and sell orders. FVGs can be found across various asset classes, including forex, commodities, stocks, and cryptocurrencies. FVGs in this toolkit have the ability to detect raids of FVG which helps to identify potential price reversals. Mitigation option helps to change from what source FVGs will be identified: Close, Wicks or AVG. 4. SWING FAILURE PATTERN (SFP): The Swing Failure Pattern is a liquidity engineering pattern, generally used to fill large orders. This means, the SFP generally occurs when larger players push the price into liquidity pockets with the sole objective of filling their own positions. SFP is a technical analysis tool designed to identify potential market reversals. It works by detecting instances where the price briefly breaks a previous high or low but fails to maintain that breakout, quickly reversing direction. How it works: Pattern Detection: The indicator scans for price movements that breach recent highs or lows. Reversal Confirmation: If the price quickly reverses after breaching these levels, it's identified as an SFP. ➤ SFP Display: Bullish SFP: Marked with a green symbol when price drops below a recent low before reversing upwards. Bearish SFP: Marked with a red symbol when price rises above a recent high before reversing downwards. ➤ Deviation Levels: After detecting an SFP, the indicator projects white lines showing potential price deviation: For bullish SFPs, the deviation line appears above the current price. For bearish SFPs, the deviation line appears below the current price. These deviation levels can serve as a potential trading opportunity or areas where the reversal might lose momentum. With Volume Threshold and Filtering of SFP traders can adjust their trading style: Volume Threshold: This setting allows traders to filter SFPs based on the volume of the reversal candle. By setting a higher volume threshold, traders can focus on potentially more significant reversals that are backed by higher trading activity. SFP Filtering: This feature enables traders to filter SFP detection. It includes parameters such as: 5. LIQUIDITY CONCEPTS: ➤ Equal Lows (EQL) and Equal Highs (EQH) are important concepts in liquidity-based trading. EQL: A series of two or more swing lows that occur at approximately the same price level. EQH: A series of two or more swing highs that occur at approximately the same price level. EQLs and EQHs are seen as potential liquidity pools where a large number of stop loss orders or limit orders may be clustered. They can be used as potential reverse points for trades. This multi-period feature allows traders to select less and more significant EQL and EQH: ➤ Liquidity wicks: Liquidity wicks are a minor representation of a stop-loss hunt during the retracement of a pivot point: ➤ Buy and Sell side liquidity: The buy side liquidity represents a concentration of potential buy orders below the current price level. When price moves into this area, it can lead to increased buying pressure due to the execution of these orders. The sell side liquidity indicates a pool of potential sell orders below the current price level. Price movement into this area can result in increased selling pressure as these orders are executed. ➤ Sweep Liquidation Zones: Sweep Liquidation Zones are crucial for understanding market structure and potential future price movements. They provide insights into areas where significant market participants have been forced out of their positions, potentially setting up new trading opportunities. 🔵 USAGE & EXAMPLES The core principle behind the success of this toolkit lies in identifying "confluence." This refers to the convergence of multiple trading indicators all signaling the same information at a specific point or area. By seeking such alignment, traders can significantly enhance the likelihood of successful trades. MS + OBs The chart illustrates a highly bullish setup where the price is rejecting from a bullish order block (POC), while simultaneously forming a bullish Swing Failure Pattern (SFP). This occurs after an internal structure change, marked by a bullish Change of Character (CHoCH). The price broke through a bearish order block, transforming it into a breaker block, further confirming the bullish momentum. The combination of these elements—bullish order blocks, SFP, and CHoCH—creates a powerful bullish signal, reinforcing the potential for upward movement in the market. SFP + Bear OB This chart above displays a bearish setup with a high probability of a price move lower. The price is currently rejecting from a bear order block, which represents a key resistance area where significant selling pressure has previously occurred. A Swing Failure Pattern (SFP) has also formed near this bear order block, indicating that the price briefly attempted to break above a recent high but failed to sustain that upward movement. This failure suggests that buyers are losing momentum, and the market could be preparing for a move to the downside. Additionally, we can toggle on the Deviation Area in the SFP section to highlight potential levels where price deviation might occur. These deviation areas represent zones where the price is likely to react after the Swing Failure Pattern: BUY – SELL sides + EQL The chart showcases a bullish setup with a high probability of price breaking out of the current sell-side resistance level. The market structure indicates a formation of Equal Lows (EQL), which often suggests a build-up of liquidity that could drive the price higher. The presence of strong buy-side pressure (69%), indicated by the green zone at the bottom, reinforces this bullish outlook. This area represents a key support zone where buyers are outpacing sellers, providing the foundation for a potential upward breakout. EQL + Bull ChoCh This chart illustrates a potential bullish setup, driven by the formation of Equal Lows (EQL) followed by a bullish Change of Character (CHoCH). The presence of Equal Lows often signals a liquidity build-up, which can lead to a reversal when combined with additional bullish signals. Liquidity grab + Bull ChoCh + FVGs This chart demonstrates a strong bullish scenario, where several important market dynamics are at play. The price begins its upward momentum from Liquidity grab following a bullish Change of Character (CHoCH), signaling the transition from a bearish phase to a bullish one. As the price progresses, it performs liquidity grabs, which serve to gather the necessary fuel for further movement. These liquidity grabs often occur before significant price surges, as large market participants exploit these areas to accumulate positions before pushing the price higher. The chart also highlights a market imbalance area, showing strong momentum as the price moves swiftly through this zone. In this examples, we see how the combination of multiple “smart money” tools helps identify a potential trade opportunities. This is just one of the many scenarios that traders can spot using this toolkit. Other combinations—such as order blocks, liquidity grabs, fair value gaps, and Swing Failure Patterns (SFPs)—can also be layered on top of these concepts to further refine your trading strategy. 🔵 SETTINGS Window: limit calculation period Swing: limit drawing function Mapping structure: show structural points Algorithmic Logic: (Extreme-Adjusted) Use max high/low or pivot point calculation Algorithmic loopback: pivot point look back Show Last: Amount of Order block to display Hide Overlap: hide overlapping order blocks Construction: Size of the order blocks Fair value gaps: Choose between normal FVG or Breaker FVG Mitigation: (close - wick - avg) point to mitigate the order block/imbalance SFP lookback: find a higher / lower point to improve accuracy Threshold: remove less relevant SFP Equal H&L: (short-mid-long term) display longer term Liquidity Prints: Shows wicks of candles where liquidity was grabbed Sweep Area: Identify Sweep Liquidation areas By combining these indicators in one toolkit, traders are equipped with a comprehensive suite of tools that address every angle of the Smart Money Concept. Instead of relying on disparate tools spread across various platforms, having them integrated into a single, cohesive system allows traders to easily see confluence and make more informed trading decisions.
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Smart Money Concepts by WeloTradesThe "Smart Money Concepts by WeloTrades" indicator is designed to offer traders a comprehensive tool that integrates multiple advanced features to aid in market analysis. By combining order blocks, liquidity levels, fair value gaps, trendlines, and market structure analysis, the indicator provides a holistic approach to understanding market dynamics and making informed trading decisions. Components and Their Integration: Order Blocks and Breaker Blocks Detection Functionality: Order blocks represent areas where significant buying or selling occurred, creating potential support or resistance zones. Breaker blocks signal potential reversals. Integration: By detecting and visualizing these blocks, the indicator helps traders identify key levels where price might react, aiding in entry and exit decisions. The customizable settings allow traders to adjust the visibility and parameters to suit their specific trading strategy. Liquidity Levels Analysis Functionality: Liquidity levels indicate zones where significant price movements can occur due to the presence of large orders. These are areas where smart money might be executing trades. Integration: By tracking these high-probability liquidity areas, traders can anticipate potential price movements. Customizable display limits and mitigation strategies ensure that the information is tailored to the trader’s needs, providing precise and actionable insights. Fair Value Gaps (FVG) Functionality: Fair value gaps highlight areas where there is an imbalance between buyers and sellers. These gaps often represent potential trading opportunities. Integration: The ability to identify and analyze FVGs helps traders spot potential entries based on market inefficiencies. The touch and break detection functionalities provide further refinement, enhancing the precision of trading signals. Trendlines Functionality: Trendlines help in identifying the direction of the market and potential reversal points. The additional trendline adds a layer of confirmation for breaks or retests. Integration: Automatically drawn trendlines assist traders in visualizing market trends and making decisions about potential entries and exits. The additional trendline for stronger confirmation reduces the risk of false signals, providing more reliable trading opportunities. Market Structure Analysis Functionality: Understanding market structure is crucial for identifying key support and resistance levels and overall market dynamics. This component displays internal, external, and composite market structures. Integration: By automatically highlighting shifts in market structure, the indicator helps traders recognize important levels and potential changes in market direction. This analysis is critical for strategic planning and execution in trading. Customizable Alerts Functionality: Alerts ensure that traders do not miss significant market events, such as the formation or breach of order blocks, liquidity levels, and trendline interactions. Integration: Customizable alerts enhance the user experience by providing timely notifications of key events. This feature ensures that traders can act quickly and efficiently, leveraging the insights provided by the indicator. Interactive Visualization Functionality: Customizable visual aspects of the indicator allow traders to tailor the display to their preferences and trading style. Integration: This feature enhances user engagement and usability, making it easier for traders to interpret the data and make informed decisions. Personalization options like colors, styles, and display formats improve the overall effectiveness of the indicator. How Components Work Together Comprehensive Market Analysis Each component of the indicator addresses a different aspect of market analysis. Order blocks and liquidity levels highlight potential support and resistance zones, while fair value gaps and trendlines provide additional context for potential entries and exits. Market structure analysis ties everything together by offering a broad view of market dynamics. Synergistic Insights The integration of multiple features allows for cross-validation of trading signals. For instance, an order block coinciding with a high-probability liquidity level and a fair value gap can provide a stronger signal than any of these features alone. This synergy enhances the reliability of the insights and trading signals generated by the indicator. Enhanced Decision Making By combining these advanced features into a single tool, traders are equipped with a powerful resource for making informed decisions. The customizable alerts and interactive visualization further support this by ensuring that traders can act quickly on the insights provided. Order Blocks ( OB) & Breaker Blocks (BB) Visuals: 📝 OB Input Settings 📊 Timeframe #1 TF #1🕑: Enable or disable Timeframe 1. What it is: A boolean input to toggle the use of the first timeframe. What it does: Enables or disables Timeframe 1 for the OB settings. How to use it: Check or uncheck the box to enable or disable. 📊 Timeframe 1 Selection Timeframe #1🕑: Select the timeframe for Timeframe 1. What it is: A dropdown to select the desired timeframe. What it does: Sets the timeframe for Timeframe 1. How to use it: Choose a timeframe from the dropdown list. 📊 Timeframe #2 TF #2🕑: Enable or disable Timeframe 2. What it is: A boolean input to toggle the use of the second timeframe. What it does: Enables or disables Timeframe 2 for the OB settings. How to use it: Check or uncheck the box to enable or disable. 📊 Timeframe 2 Selection Timeframe #2🕑: Select the timeframe for Timeframe 2. What it is: A dropdown to select the desired timeframe. What it does: Sets the timeframe for Timeframe 2. How to use it: Choose a timeframe from the dropdown list. Additional Info: Higher TF Chart & Lower TF Setting / Lower TF Chart & Higher TF Setting. 📏 Show OBs OB (Length)📏: Toggle the display of Order Blocks. What it is: A boolean input to enable or disable the display of Order Blocks. What it does: Shows or hides Order Blocks based on the selected swing length. How to use it: Check or uncheck the box to enable or disable. 📏 Swing Length Option Swing Length Option: Select the swing length option. What it is: A dropdown to choose between SHORT, MID, LONG, or CUSTOM. What it does: Sets the length of swings for Order Blocks. How to use it: Choose an option from the dropdown. Additional Info: Default lengths are SHORT=10, MID=28, LONG=50. 🔧 Custom Swing Length 🔧custom: Specify a custom swing length. What it is: An integer input for setting a custom swing length. What it does: Overrides the default swing lengths if set to CUSTOM. How to use it: Enter a custom integer value (only shown when CUSTOM is selected). 📛 Show BBs BB (Method)📛: Toggle the display of Breaker Blocks. What it is: A boolean input to enable or disable the display of Breaker Blocks. What it does: Shows or hides Breaker Blocks. How to use it: Check or uncheck the box to enable or disable. 📛 OB End Method OB End Method: Select the method for determining the end of a Breaker Block. What it is: A dropdown to choose between Wick and Close. What it does: Sets the criteria for when a Breaker Block is considered mitigated. How to use it: Choose an option from the dropdown. Additional Info: Wicks: OB is mitigated when the price wicks through the OB Level. Close: OB is mitigated when the closing price is within the OB Level. 🔍 Max Bullish Zones 🔍Max Bullish: Set the maximum number of Bullish Order Blocks to display. What it is: A dropdown to select the maximum number of Bullish Order Blocks. What it does: Limits the number of Bullish Order Blocks shown on the chart. How to use it: Choose a value from the dropdown (1-10). 🔍 Max Bearish Zones 🔍Max Bearish: Set the maximum number of Bearish Order Blocks to display. What it is: A dropdown to select the maximum number of Bearish Order Blocks. What it does: Limits the number of Bearish Order Blocks shown on the chart. How to use it: Choose a value from the dropdown (1-10). 🟩 Bullish OB Color Bullish OB Color: Set the color for Bullish Order Blocks. What it is: A color picker to set the color of Bullish Order Blocks. What it does: Changes the color of Bullish Order Blocks on the chart. How to use it: Select a color from the color picker. 🟥 Bearish OB Color Bearish OB Color: Set the color for Bearish Order Blocks. What it is: A color picker to set the color of Bearish Order Blocks. What it does: Changes the color of Bearish Order Blocks on the chart. How to use it: Select a color from the color picker. 🔧 OB & BB Range ↔ OB & BB Range: Select the range option for OB and BB. What it is: A dropdown to choose between RANGE and CUSTOM. What it does: Sets how far the OB or BB should extend. How to use it: Choose an option from the dropdown. Additional Info: RANGE = Current price, CUSTOM = Adjustable Range. 🔧 Custom OB & BB Range 🔧Custom: Specify a custom range for OB and BB. What it is: An integer input for setting a custom range. What it does: Defines how far the OB or BB should go, based on a custom value. How to use it: Enter a custom integer value (range: 1000-500000). 💬 Text Options 💬Text Options: Set text size and color for OB and BB. What it is: A dropdown to select text size and a color picker to choose text color. What it does: Changes the size and color of the text displayed for OB and BB. How to use it: Select a size from the dropdown and a color from the color picker. 💬 Show Timeframe OB Text: Toggle to display the timeframe of OB. What it is: A boolean input to show or hide the timeframe text for OB. What it does: Displays the timeframe information for Order Blocks on the chart. How to use it: Check or uncheck the box to enable or disable. 💬 Show Volume Volume: Toggle to display the volume of OB. What it is: A boolean input to show or hide the volume information for Order Blocks. What it does: Displays the volume information for Order Blocks on the chart. How to use it: Check or uncheck the box to enable or disable. Additional Info: What it represents: The volume displayed represents the total trading volume that occurred during the formation of the Order Block. This can indicate the level of participation or interest in that price level. How it's calculated: The volume is the sum of all traded volumes within the candles that form the Order Block. What it means: Higher volume at an Order Block level may suggest stronger support or resistance. It shows the amount of trading activity and can be an indicator of the potential strength or validity of the Order Block. Why it's shown: To give traders an idea of the market participation and to help assess the strength of the Order Block. 💬 Show Percentage %: Toggle to display the percentage of OB. What it is: A boolean input to show or hide the percentage information for Order Blocks. What it does: Displays the percentage information for Order Blocks on the chart. How to use it: Check or uncheck the box to enable or disable. Additional Info: What it represents: The percentage displayed usually represents the proportion of price movement relative to the Order Block. How it's calculated: This can be the percentage move from the start to the end of the Order Block or the retracement level that price has reached relative to the Order Block's range. What it means: It helps traders understand the extent of price movement within the Order Block and can indicate the significance of the price level. Why it's shown: To provide a clearer understanding of the price dynamics and the importance of the Order Block within the overall price movement. Additional Information Volume Example: If an Order Block forms over three candles with volumes of 100, 150, and 200, the total volume displayed for that Order Block would be 450. Percentage Example: If the price moves from 100 to 110 within an Order Block, and the total range of the Order Block is from 100 to 120, the percentage shown might be 50% (since the price has moved halfway through the Order Block's range). Liquidity Levels visuals: 📊 Liquidity Levels Input Settings 📊 Current Timeframe TF #1🕑: Enable or disable the current timeframe. What it is: A boolean input to toggle the use of the current timeframe. What it does: Enables or disables the display of liquidity levels for the current timeframe. How to use it: Check or uncheck the box to enable or disable. 📊 Higher Timeframe Higher Timeframe: Select the higher timeframe for liquidity levels. What it is: A dropdown to select the desired higher timeframe. What it does: Sets the higher timeframe for liquidity levels. How to use it: Choose a timeframe from the dropdown list. 📏 Liquidity Length Option 📏Liquidity Length: Select the length for liquidity levels. What it is: A dropdown to choose between SHORT, MID, LONG, or CUSTOM. What it does: Sets the length of swings for liquidity levels. How to use it: Choose an option from the dropdown. Additional Info: Default lengths are SHORT=10, MID=28, LONG=50. 🔧 Custom Liquidity Length 🔧custom: Specify a custom length for liquidity levels. What it is: An integer input for setting a custom swing length. What it does: Overrides the default liquidity lengths if set to CUSTOM. How to use it: Enter a custom integer value (only shown when CUSTOM is selected). 📛 Mitigation Method 📛Mitigation (Method): Select the method for determining the mitigation of liquidity levels. What it is: A dropdown to choose between Close and Wick. What it does: Sets the criteria for when a liquidity level is considered mitigated. How to use it: Choose an option from the dropdown. Additional Info: Wick: Level is mitigated when the price wicks through the level. Close: Level is mitigated when the closing price is within the level. 📛 Display Mitigated Levels -: Select to display or hide mitigated levels. What it is: A dropdown to choose between Remove and Show. What it does: Displays or hides mitigated liquidity levels. How to use it: Choose an option from the dropdown. Additional Info: Remove: Hide mitigated levels. Show: Display mitigated levels. 🔍 Max Buy Side Liquidity 🔍Max Buy Side Liquidity: Set the maximum number of Buy Side Liquidity Levels to display. What it is: An integer input to set the maximum number of Buy Side Liquidity Levels. What it does: Limits the number of Buy Side Liquidity Levels shown on the chart. How to use it: Enter a value between 0 and 50. 🟦 Buy Side Liquidity Color Buy Side Liquidity Color: Set the color for Buy Side Liquidity Levels. What it is: A color picker to set the color of Buy Side Liquidity Levels. What it does: Changes the color of Buy Side Liquidity Levels on the chart. How to use it: Select a color from the color picker. Additional Info: Tooltip: Set the maximum number of Buy Side Liquidity Levels to display. Default: 5, Min: 1, Max: 50. If liquidity levels are not displayed as expected, try increasing the max count. 🔍 Max Sell Side Liquidity 🔍Max Sell Side Liquidity: Set the maximum number of Sell Side Liquidity Levels to display. What it is: An integer input to set the maximum number of Sell Side Liquidity Levels. What it does: Limits the number of Sell Side Liquidity Levels shown on the chart. How to use it: Enter a value between 0 and 50. 🟥 Sell Side Liquidity Color Sell Side Liquidity Color: Set the color for Sell Side Liquidity Levels. What it is: A color picker to set the color of Sell Side Liquidity Levels. What it does: Changes the color of Sell Side Liquidity Levels on the chart. How to use it: Select a color from the color picker. Additional Info: Tooltip: Set the maximum number of Sell Side Liquidity Levels to display. Default: 5, Min: 1, Max: 50. If liquidity levels are not displayed as expected, try increasing the max count. ✂ Box Style (Height) ✂ Box Style (↕): Set the box height style for liquidity levels. What it is: A float input to set the height of the boxes. What it does: Adjusts the height of the boxes displaying liquidity levels. How to use it: Enter a value between -50 and 50. Additional Info: Default value is -5. 📏 Box Length b: Set the box length of liquidity levels. What it is: An integer input to set the length of the boxes. What it does: Adjusts the length of the boxes displaying liquidity levels. How to use it: Enter a value between 0 and 500. Additional Info: Default value is 20. ⏭ Extend Liquidity Levels Extend ⏭: Toggle to extend liquidity levels beyond the current range. What it is: A boolean input to enable or disable the extension of liquidity levels. What it does: Extends liquidity levels beyond their default range. How to use it: Check or uncheck the box to enable or disable. Additional Info: Extend liquidity levels beyond the current range. 💬 Text Options 💬 Text Options: Set text size and color for liquidity levels. What it is: A dropdown to select text size and a color picker to choose text color. What it does: Changes the size and color of the text displayed for liquidity levels. How to use it: Select a size from the dropdown and a color from the color picker. 💬 Show Text Text: Toggle to display text for liquidity levels. What it is: A boolean input to show or hide the text for liquidity levels. What it does: Displays the text information for liquidity levels on the chart. How to use it: Check or uncheck the box to enable or disable. 💬 Show Volume Volume: Toggle to display the volume of liquidity levels. What it is: A boolean input to show or hide the volume information for liquidity levels. What it does: Displays the volume information for liquidity levels on the chart. How to use it: Check or uncheck the box to enable or disable. Additional Info: What it represents: The volume displayed represents the total trading volume that occurred during the formation of the liquidity level. This can indicate the level of participation or interest in that price level. How it's calculated: The volume is the sum of all traded volumes within the candles that form the liquidity level. What it means: Higher volume at a liquidity level may suggest stronger support or resistance. It shows the amount of trading activity and can be an indicator of the potential strength or validity of the liquidity level. Why it's shown: To give traders an idea of the market participation and to help assess the strength of the liquidity level. 💬 Show Percentage %: Toggle to display the percentage of liquidity levels. What it is: A boolean input to show or hide the percentage information for liquidity levels. What it does: Displays the percentage information for liquidity levels on the chart. How to use it: Check or uncheck the box to enable or disable. Additional Info: What it represents: The percentage displayed usually represents the proportion of price movement relative to the liquidity level. How it's calculated: This can be the percentage move from the start to the end of the liquidity level or the retracement level that price has reached relative to the liquidity level's range. What it means: It helps traders understand the extent of price movement within the liquidity level and can indicate the significance of the price level. Why it's shown: To provide a clearer understanding of the price dynamics and the importance of the liquidity level within the overall price movement. Fair Value Gaps visuals: 📊 Fair Value Gaps Input Settings 📊 Show FVG TF #1🕑: Enable or disable Fair Value Gaps for Timeframe 1. What it is: A boolean input to toggle the display of Fair Value Gaps. What it does: Shows or hides Fair Value Gaps on the chart. How to use it: Check or uncheck the box to enable or disable. 📊 Select Timeframe Timeframe: Select the timeframe for Fair Value Gaps. What it is: A dropdown to select the desired timeframe. What it does: Sets the timeframe for Fair Value Gaps. How to use it: Choose a timeframe from the dropdown list. Additional Info: Higher TF Chart & Lower TF Setting or Lower TF Chart & Higher TF Setting. 📛 FVG Break Method 📛FVG Break (Method): Select the method for determining when an FVG is mitigated. What it is: A dropdown to choose between Touch, Wicks, Close, or Average. What it does: Sets the criteria for when a Fair Value Gap is considered mitigated. How to use it: Choose an option from the dropdown. Additional Info: Touch: FVG is mitigated when the price touches the gap. Wicks: FVG is mitigated when the price wicks through the gap. Close: FVG is mitigated when the closing price is within the gap. Average: FVG is mitigated when the average price (average of high and low) is within the gap. 📛 Show Mitigated FVG show: Toggle to display mitigated FVGs. What it is: A boolean input to show or hide mitigated Fair Value Gaps. What it does: Displays or hides mitigated Fair Value Gaps. How to use it: Check or uncheck the box to enable or disable. 📛 Fill FVG Fill: Toggle to fill Fair Value Gaps. What it is: A boolean input to fill the Fair Value Gaps with color. What it does: Adds a color fill to the Fair Value Gaps. How to use it: Check or uncheck the box to enable or disable. 📛 Shade FVG Shade: Toggle to shade Fair Value Gaps. What it is: A boolean input to shade the Fair Value Gaps. What it does: Adds a shade effect to the Fair Value Gaps. How to use it: Check or uncheck the box to enable or disable. Additional Info: Select the method to break FVGs and toggle the visibility of FVG Breaks (fill FVG and/or shade FVG). 🔍 Max Bullish FVG 🔍Max Bullish FVG: Set the maximum number of Bullish Fair Value Gaps to display. What it is: An integer input to set the maximum number of Bullish Fair Value Gaps. What it does: Limits the number of Bullish Fair Value Gaps shown on the chart. How to use it: Enter a value between 0 and 50. 🔍 Max Bearish FVG 🔍Max Bearish FVG: Set the maximum number of Bearish Fair Value Gaps to display. What it is: An integer input to set the maximum number of Bearish Fair Value Gaps. What it does: Limits the number of Bearish Fair Value Gaps shown on the chart. How to use it: Enter a value between 0 and 50. 🟥 Bearish FVG Color Bearish FVG Color: Set the color for Bearish Fair Value Gaps. What it is: A color picker to set the color of Bearish Fair Value Gaps. What it does: Changes the color of Bearish Fair Value Gaps on the chart. How to use it: Select a color from the color picker. Additional Info: Tooltip: Set the maximum number of Bearish Fair Value Gaps to display. Default: 5, Min: 1, Max: 50. If Fair Value Gaps are not displayed as expected, try increasing the max count. 🟦 Bullish FVG Color Bullish FVG Color: Set the color for Bullish Fair Value Gaps. What it is: A color picker to set the color of Bullish Fair Value Gaps. What it does: Changes the color of Bullish Fair Value Gaps on the chart. How to use it: Select a color from the color picker. Additional Info: Tooltip: Set the maximum number of Bullish Fair Value Gaps to display. Default: 5, Min: 1, Max: 50. If Fair Value Gaps are not displayed as expected, try increasing the max count. 📏 FVG Range ↔ FVG Range: Set the range for Fair Value Gaps. What it is: An integer input to set the range of the Fair Value Gaps. What it does: Adjusts the range of the Fair Value Gaps displayed. How to use it: Enter a value between 0 and 100. Additional Info: Adjustable length only works when both RANGE & EXTEND display OFF. Range=current price, Extend=Full Range. ⏭ Extend FVG Extend⏭: Toggle to extend Fair Value Gaps beyond the current range. What it is: A boolean input to enable or disable the extension of Fair Value Gaps. What it does: Extends Fair Value Gaps beyond their default range. How to use it: Check or uncheck the box to enable or disable. ⏯ FVG Range Range⏯: Toggle the range of Fair Value Gaps. What it is: A boolean input to enable or disable the range display for Fair Value Gaps. What it does: Sets the range of Fair Value Gaps displayed. How to use it: Check or uncheck the box to enable or disable. ↕ Max Width ↕ Max Width: Set the maximum width of Fair Value Gaps. What it is: A float input to set the maximum width of Fair Value Gaps. What it does: Limits the width of Fair Value Gaps as a percentage of the price range. How to use it: Enter a value between 0 and 5.0. Additional Info: FVGs wider than this value will be ignored. ♻ Filter FVG Filter FVG ♻: Toggle to filter out small Fair Value Gaps. What it is: A boolean input to filter out small Fair Value Gaps. What it does: Ignores Fair Value Gaps smaller than the specified max width. How to use it: Check or uncheck the box to enable or disable. ➖ Mid Line Style ➖Mid Line Style: Select the style of the mid line for Fair Value Gaps. What it is: A dropdown to choose between Solid, Dashed, or Dotted. What it does: Sets the style of the mid line within Fair Value Gaps. How to use it: Choose an option from the dropdown. 🎨 Mid Line Color Mid Line Color: Set the color for the mid line within Fair Value Gaps. What it is: A color picker to set the color of the mid line. What it does: Changes the color of the mid line within Fair Value Gaps. How to use it: Select a color from the color picker. Additional Information Mitigation Methods: Each method (Touch, Wicks, Close, Average) provides different criteria for when a Fair Value Gap is considered mitigated, helping traders to understand the dynamics of price movements within gaps. Volume and Percentage: Displaying volume and percentage information for Fair Value Gaps helps traders gauge the strength and significance of these gaps in relation to trading activity and price movements. Trendlines visuals: 📊 Trendlines Input Settings 📊 Show Trendlines Trendlines & Trendlines Difference(%) ↕: Enable or disable trendlines and set the percentage difference from the first trendline. What it is: A boolean input to toggle the display of trendlines. What it does: Shows or hides trendlines on the chart and allows setting a percentage difference from the first trendline. How to use it: Check or uncheck the box to enable or disable. Additional Info: The percentage difference determines the distance of the second trendline from the first one. 📏 Trendline Length Option 📏Trendline Length: Select the length for trendlines. What it is: A dropdown to choose between SHORT, MID, LONG, or CUSTOM. What it does: Sets the length of trendlines. How to use it: Choose an option from the dropdown. Additional Info: Default lengths are SHORT=50, MID=100, LONG=200. 🔧 Custom Trendline Length 🔧custom: Specify a custom length for trendlines. What it is: An integer input for setting a custom trendline length. What it does: Overrides the default trendline lengths if set to CUSTOM. How to use it: Enter a custom integer value (only shown when CUSTOM is selected). 🔍 Max Bearish Trendlines 🔍Max Trendlines Bearish: Set the maximum number of bearish trendlines to display. What it is: A dropdown to select the maximum number of bearish trendlines. What it does: Limits the number of bearish trendlines shown on the chart. How to use it: Choose a value from the dropdown (2-20). 🟩 Bearish Trendline Color Bearish Trendline Color: Set the color for bearish trendlines. What it is: A color picker to set the color of bearish trendlines. What it does: Changes the color of bearish trendlines on the chart. How to use it: Select a color from the color picker. Additional Info: Adjust to control how many bearish trendlines are displayed. 🔍 Max Bullish Trendlines 🔍Max Trendlines Bullish: Set the maximum number of bullish trendlines to display. What it is: A dropdown to select the maximum number of bullish trendlines. What it does: Limits the number of bullish trendlines shown on the chart. How to use it: Choose a value from the dropdown (2-20). 🟥 Bullish Trendline Color Bullish Trendline Color: Set the color for bullish trendlines. What it is: A color picker to set the color of bullish trendlines. What it does: Changes the color of bullish trendlines on the chart. How to use it: Select a color from the color picker. Additional Info: Adjust to control how many bullish trendlines are displayed. 📐 Degrees Text 📐Degrees ° (💬 Size): Enable or disable degrees text and set its size and color. What it is: A boolean input to show or hide the degrees text for trendlines. What it does: Displays the degrees text for trendlines. How to use it: Check or uncheck the box to enable or disable. 📏 Text Size for Degrees Text Size: Set the text size for degrees on trendlines. What it is: A dropdown to select the size of the degrees text. What it does: Changes the size of the degrees text displayed for trendlines. How to use it: Choose a size from the dropdown (XS, S, M, L, XL). 🎨 Degrees Text Color Degrees Text Color: Set the color for the degrees text on trendlines. What it is: A color picker to set the color of the degrees text. What it does: Changes the color of the degrees text on the chart. How to use it: Select a color from the color picker. ♻ Filter Degrees ♻ Filter Degrees °: Enable or disable angle filtering and set the angle range. What it is: A boolean input to filter trendlines by their angle. What it does: Shows only trendlines within a specified angle range. How to use it: Check or uncheck the box to enable or disable. Additional Info: Angles outside this range will be filtered out. 🔢 Angle Range Angle Range: Set the angle range for filtering trendlines. What it is: Two float inputs to set the minimum and maximum angle for trendlines. What it does: Defines the range of angles for which trendlines will be shown. How to use it: Enter values for the minimum and maximum angles. ➖ Line Style ➖Style #1 & #2: Select the style of the primary and secondary trendlines. What it is: Two dropdowns to choose between Solid, Dashed, or Dotted for the trendlines. What it does: Sets the style of the primary and secondary trendlines. How to use it: Choose a style from each dropdown. 📏 Line Thickness : Set the thickness for the trendlines. What it is: An integer input to set the thickness of the trendlines. What it does: Adjusts the thickness of the trendlines displayed on the chart. How to use it: Enter a value between 1 and 5. Additional Information Trendline Percentage Difference: Setting a percentage difference helps in analyzing the relative position and angle of trendlines. Filtering by Angle: This feature allows focusing on trendlines within a specific angle range, enhancing the clarity of trend analysis. BOS & CHOCH Market Structure visuals: 📊 BOS & CHOCH Market Structure Input Settings 📏 Market Structure Length Option 📏Market Structure: Select the market structure length option. What it is: A dropdown to choose between INTERNAL, EXTERNAL, ALL, CUSTOM, or NONE. What it does: Sets the type of market structure to be displayed. How to use it: Choose an option from the dropdown. Additional Info: INTERNAL: Only internal structure. EXTERNAL: Only external structure. ALL: Both internal and external structures. CUSTOM: Custom lengths. NONE: No structure. 🔧 Custom Internal Length 🔧Custom Internal: Specify a custom length for internal market structure. What it is: An integer input for setting a custom internal length. What it does: Defines the length of internal market structures if CUSTOM is selected. How to use it: Enter a custom integer value (only shown when CUSTOM is selected). 💬 Internal Label Size 💬Internal Label Size: Set the label size for internal market structures. What it is: A dropdown to select the size of the labels. What it does: Changes the size of the labels for internal market structures. How to use it: Choose a size from the dropdown (XS, S, M, L, XL). 🟩 Internal Bullish Color Internal Bullish Color: Set the color for bullish internal market structures. What it is: A color picker to set the color of bullish internal market structures. What it does: Changes the color of bullish internal market structures on the chart. How to use it: Select a color from the color picker. 🟥 Internal Bearish Color Internal Bearish Color: Set the color for bearish internal market structures. What it is: A color picker to set the color of bearish internal market structures. What it does: Changes the color of bearish internal market structures on the chart. How to use it: Select a color from the color picker. 🔧 Custom External Length 🔧Custom External: Specify a custom length for external market structure. What it is: An integer input for setting a custom external length. What it does: Defines the length of external market structures if CUSTOM is selected. How to use it: Enter a custom integer value (only shown when CUSTOM is selected). 💬 External Label Size 💬External Label Size: Set the label size for external market structures. What it is: A dropdown to select the size of the labels. What it does: Changes the size of the labels for external market structures. How to use it: Choose a size from the dropdown (XS, S, M, L, XL). 🟩 External Bullish Color External Bullish Color: Set the color for bullish external market structures. What it is: A color picker to set the color of bullish external market structures. What it does: Changes the color of bullish external market structures on the chart. How to use it: Select a color from the color picker. 🟥 External Bearish Color External Bearish Color: Set the color for bearish external market structures. What it is: A color picker to set the color of bearish external market structures. What it does: Changes the color of bearish external market structures on the chart. How to use it: Select a color from the color picker. 📐 Show Equal Highs and Lows EQL & EQH📐: Toggle visibility for equal highs and lows. What it is: A boolean input to show or hide equal highs and lows. What it does: Displays or hides equal highs and lows on the chart. How to use it: Check or uncheck the box to enable or disable. 📏 Equal Highs and Lows Threshold Equal Highs and Lows Threshold: Set the threshold for equal highs and lows. What it is: A float input to set the threshold for equal highs and lows. What it does: Defines the range within which highs and lows are considered equal. How to use it: Enter a value between 0 and 10. 💬 Label Size for Equal Highs and Lows 💬Label Size for Equal Highs and Lows: Set the label size for equal highs and lows. What it is: A dropdown to select the size of the labels. What it does: Changes the size of the labels for equal highs and lows. How to use it: Choose a size from the dropdown (XS, S, M, L, XL). 🟩 Bullish Color for Equal Highs and Lows Bullish Color for Equal Highs and Lows: Set the color for bullish equal highs and lows. What it is: A color picker to set the color of bullish equal highs and lows. What it does: Changes the color of bullish equal highs and lows on the chart. How to use it: Select a color from the color picker. 🟥 Bearish Color for Equal Highs and Lows Bearish Color for Equal Highs and Lows: Set the color for bearish equal highs and lows. What it is: A color picker to set the color of bearish equal highs and lows. What it does: Changes the color of bearish equal highs and lows on the chart. How to use it: Select a color from the color picker. 📏 Show Swing Points Swing Points📏: Toggle visibility for swing points. What it is: A boolean input to show or hide swing points. What it does: Displays or hides swing points on the chart. How to use it: Check or uncheck the box to enable or disable. 📏 Swing Points Length Option Swing Points Length Option: Select the length for swing points. What it is: A dropdown to choose between SHORT, MID, LONG, or CUSTOM. What it does: Sets the length of swing points. How to use it: Choose an option from the dropdown. Additional Info: Default lengths are SHORT=10, MID=28, LONG=50. 💬 Swing Points Label Size 💬Swing Points Label Size: Set the label size for swing points. What it is: A dropdown to select the size of the labels. What it does: Changes the size of the labels for swing points. How to use it: Choose a size from the dropdown (XS, S, M, L, XL). 🎨 Swing Points Color Swing Points Color: Set the color for swing points. What it is: A color picker to set the color of swing points. What it does: Changes the color of swing points on the chart. How to use it: Select a color from the color picker. 🔧 Custom Swing Points Length 🔧Custom Swings: Specify a custom length for swing points. What it is: An integer input for setting a custom length for swing points. What it does: Defines the length of swing points if CUSTOM is selected. How to use it: Enter a custom integer value (only shown when CUSTOM is selected). Additional Information Market Structure Types: Understanding internal and external structures helps in analyzing different market behaviors. Equal Highs and Lows: This feature identifies areas where price action is balanced, which can be significant for trading strategies. Swing Points: Highlighting swing points aids in recognizing significant market reversals or continuations. Benefits Enhance your trading strategy by visualizing smart money's influence on price movements. Make informed decisions with real-time data on significant market structures. Reduce manual analysis with automated detection of key trading signals. Ideal For Traders looking for an edge in forex, equities, and cryptocurrency markets by understanding the underlying forces driving market dynamics. Acknowledgements Special thanks to these amazing creators for inspiration and their creations: I want to thank these amazing creators for creating there amazing indicators , that inspired me and also gave me a head start by making this indicator! Without their amazing indicators it wouldn't be possible! Flux Charts: Volumized Order Blocks LuxAlgo: Trend Lines UAlgo: Fair Value Gaps (FVG) By Leviathan: Market Structure Sonarlab: Liquidity Levels Note Remember to always backtest the indicator first before integrating it into your strategy! For any questions about the indicator, please feel free to ask for assistance.
Pine Script® göstergesi
WeloTrades tarafından
147
Comprehensive Technical AnalysisComprehensive Technical Analysis Script Overview This Script for TradingView is designed to perform and display a detailed technical analysis using a range of moving averages and oscillators. The script provides a summary of market conditions based on various indicators to help traders make informed decisions. Key Features - Technical Indicators: Moving Averages: Simple Moving Average (SMA): Calculates the average price over a specified period. Exponential Moving Average (EMA): Reacts faster to recent price changes by giving more weight to recent prices. Weighted Moving Average (WMA): Weighs prices based on their position, giving more importance to recent prices. Hull Moving Average (HMA): Reduces lag and provides a smoother trend line. Triple Exponential Moving Average (TEMA): Combines three EMAs to minimize lag and offer a responsive trend indicator. Exponential Moving Average of an Exponential Moving Average (EMAX): Applies an EMA twice to smooth out trends further. Triangular Moving Average (TMA): Provides a smoother moving average by averaging over a triangular window. Oscillators: Relative Strength Index (RSI): Measures the speed and change of price movements to identify overbought or oversold conditions. Stochastic Oscillator (%K): Compares a security’s closing price to its price range over a specific period to spot potential reversal points. Commodity Channel Index (CCI): Identifies cyclical trends and measures the deviation of the price from its average. Moving Average Convergence Divergence (MACD): Shows the relationship between two EMAs to identify changes in trend strength, direction, momentum, and duration. Awesome Oscillator (AO): Measures market momentum by comparing two different moving averages. Average Directional Index (ADX): Determines the strength of a trend and whether the market is trending or ranging. Williams %R (WPR): Identifies overbought and oversold levels with a different calculation approach compared to the RSI. Point System - Indicator Points: Bullish Signal: Each indicator contributing to a positive market sentiment adds points. Bearish Signal: Each indicator contributing to a negative market sentiment subtracts points. Point Calculation: Moving Averages: Points are assigned based on whether the current price is above or below each moving average. Oscillators: Points are assigned based on whether the oscillator values are in bullish or bearish zones. Summary Text: Categorization: Based on the total points calculated from all indicators, the market condition is categorized into: Strong Bullish: More than 8 points Bullish: Between 3 and 8 points Neutral: Between -2 and 2 points Bearish: Between -3 and -8 points Strong Bearish: Less than -8 points Text Display: The summary text reflects the overall market sentiment and is color-coded for easy interpretation. Table Display - The Position of the table can be customized by the user: Vertical: Options include Top, Center, Bottom Horizontal: Options include Left, Center, Right Table Content: Summary Text and Points: Displays the summary of technical indicators along with the calculated points.
Pine Script® göstergesi
TradeMentorship tarafından
1
FVG (ICT) with Swing LevelsThis indicator, called "Fair Value Gaps (ICT) with Swing Levels", overlays on the main chart and does the following: Initial Setup: It defines user-adjustable parameters: lookback: Lookback period to keep FVGs visible. swingPeriod: Period for calculating swing highs and lows. bullColor and bearColor: Colors for bullish and bearish FVGs. Fair Value Gaps (FVGs) Detection: Uses a function to identify FVGs by comparing candle high and low prices. A bullish FVG forms when the low of two candles ago is higher than the high of the current candle. A bearish FVG forms when the high of two candles ago is lower than the low of the current candle. Swing Levels Calculation: Calculates swing highs and lows over the specified period. These swing levels define the current market range. Current Range Verification: Implements a function to check if an FVG is within the range defined by swing levels. This ensures only the most relevant FVGs for the current market situation are displayed. FVG Drawing: When it detects an FVG (bullish or bearish) within the current range, it draws a box on the chart. Boxes extend from the bar where the FVG formed to the current bar. Bullish FVGs are drawn in green and bearish in red (colors are customizable). Old FVGs Management: On each new bar, the indicator checks all existing FVG boxes. It removes boxes that are outside the specified lookback period. It also removes boxes that are no longer within the current range of swing levels. Swing Levels Visualization: Draws lines on the chart to show swing highs (in blue) and swing lows (in purple). These lines help visualize the current market range. Continuous Update: The indicator updates on each new candle, constantly refreshing FVGs and swing levels. In summary, this indicator identifies and visualizes Fair Value Gaps according to the ICT methodology, filtering them based on higher timeframe swing levels. This helps traders focus on the most significant FVGs within the current market context, reducing visual noise and potentially improving trading decision-making.
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jugerardo tarafından
Market Structure Targets Model [LuxAlgo]The Market Structure Targets Model indicator provides an algorithmic approach to setting targets from market structure shifts (MSS) and market structure breaks (MSB), two popular Smart Money Concept (SMC) concepts. Depending on the target % settings, they can be used as take profit, confirmation levels, or potential reversal points. 🔶 USAGE Our Market Structure Targets Model scripts provide automated and customizable targets from MSS and MSB. Each displayed target can be used in several ways described in the sub-sections below: 🔹 Take Profit The targets can be used as take profit levels, where the target distance can be set separately for bullish/bearish MSS/MSB respectively. 🔹 Confirmation Levels Alternatively, targets can be used as an additional confirmation level of a trend reversal when set at a lower percentage, filtering out fake signals that might be given from market structures. In this way, targets can be used as potential entry levels. 🔹 Potential Reversal Points In some circumstances, targets being reached can be indicative of trend reversals. The percentage of the targets would be typically set higher to allow for trend exhaustion. The above examples highlight this usage for bearish reversal scenarios, while the image below highlights it for bullish reversal scenarios. 🔹 Support/Resistance Levels The targets, being horizontal levels, can also serve as potential support/resistances, with breakouts potentially confirming new trends. It is important to remain observant of the market structure. An MSS or MSB in the opposite direction provides essential information to be included in future decisions. Using multiple timeframes can help detect longer-term trends. Depending on the user's preference, they can choose the appropriate timeframe for their needs. Note that Target lines will only be drawn when the Target Level exceeds the close value when it is drawn. 🔹 Maximum Target Duration The Maximum Target Duration setting removes unreached target levels when the amount of bars since the associated market structure of that target exceeds the user set limit. This effectively allows the removal of any target that might no longer be relevant to newer trends. 🔹 Type: Switch/Hold This setting is another way to control unreached target levels. Switch: When a new MSS/MSB is found, the previous target level associated with a market structure with the same direction (bullish/bearish) is deleted if it hasn't been reached. Hold: Target levels are retained and continuously evaluated when a new MSS/MSB is formed. The target level will be removed in both cases when the  Maximum Target Duration  condition is applied. The above example shows the case when the Type setting is set to Switch , while in the example below, it is set to Hold . 🔶 DETAILS 🔹 Market Structure Market structures are commonly classified as follows: Market Structure Shift (MSS), also referred to as Change of Character (CHoCH) Market Structure Break (MSB), also referred to as Break of Structure (BOS) MSS indicates a shift in the market trend, confirming trend reversals. Conversely, MSB occurs once a trend is already determined, confirming new higher highs/lower lows. 🔹 Targets A: Highest/lowest between the extremities of the MSS/MSB line B: Price value of the MSS/MSB line The distance between A and B is projected on the opposite side of the MSS/MSB line, adjusted with a percentage that can be set by the user. The above example used 100% of the distance between A and B. The Target Percentage of MSS and MSB can be set separately for bullish or bearish market structures. 🔶 SETTINGS Swings: Period used for the swing detection, with higher values returning longer-term Swing Levels. Type: the Switch/Hold setting controls unattained target levels Maximum Target Duration: removes the target lines when the amount of bars since the drawing of the target exceeds the limit and the target has not been reached 🔹 Market Structure Shift (MSS) Bullish: Toggle, color setting, % Target Bearish: Toggle, color setting, % Target 🔹 Market Structure Break (MSB) Bullish: Toggle, color setting, % Target Bearish: Toggle, color setting, % Target
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LuxAlgo tarafından
9