立即開始

在腳本中搜尋"range"

X OROverview Designed to plot hourly opening ranges (ORs) on an intraday chart. It primarily serves as a trading tool for assessing market direction and potential trading opportunities by analyzing price action relative to key OHLC (Open, High, Low, Close) levels within each hourly range. The code provided is for each hour sessions from 2:00 AM to 3:00 PM for a complete session-based framework. In addition there is the RTH open range Purpose The core purpose of this indicator is to: ✅ Define each hourly range (based on the session’s opening bar) by recording the high and low of that range. ✅ Extend this range into the following bars for visual reference — serving as dynamic support and resistance zones. ✅ Monitor price action relative to each hourly OR, helping traders evaluate market direction and structure trades using concepts like: Breakouts above/below the OR high/low. Rejections or consolidations within the OR. Continuation or reversal signals tied to each OR. Key Features The script marks the first bar of the session as the OR session start. During this bar, it initializes: Opening price Session high Session low These levels form the initial range. 🔹 Dynamic Range Tracking Throughout the one-minute OR session: The highest and lowest prices are updated in real time, capturing intra-hour volatility. A visual background box is drawn to highlight the OR range on the chart. 🔹 Range Extension The script defines an extended session period after the initial OR (e.g., 2:00 AM-2:45 AM for the 2:00 AM session). During this extension period: The box persists on the chart, providing a contextual zone that traders can use as a dynamic support/resistance area. 🔹 Visual Representation Transparent colored boxes highlight each session’s OR visually on the chart. These boxes help traders easily identify whether price is trading: Inside the OR Breaking above the high (potential bullish continuation) Breaking below the low (potential bearish continuation) Application in Trading 🔍 Trading the Opening Range Breakout Traders often use the OR high and low as breakout triggers. For example: A price break above the OR high may signal bullish momentum. A break below the OR low may signal bearish momentum. ⚖️ Support and Resistance Even if breakouts fail, the OR can act as a pivot zone — offering areas for: Stop placements Target levels Entry confirmations for fade trades or mean reversion strategies. 🕒 Session Awareness By defining each hour’s OR individually (from 2:00 AM to 3:00 PM), traders can: Analyze price behavior within each session. Recognize when liquidity or volatility increases (e.g. around overlapping sessions like London open or New York open). Summary This Pine Script indicator provides a powerful framework for visualizing and trading hourly opening ranges. It enhances intraday analysis by: Structuring price action within hourly boxes. Highlighting key price levels relative to OHLC concepts. Helping traders make more informed decisions by assessing price behavior around these critical ranges.
Pine Script®指標
由KinetiCapital提供
Auto Darvas Boxes## AUTO DARVAS BOXES --- ### OVERVIEW **Auto Darvas Boxes** is a fully-automated, event-driven implementation of Nicolas Darvas’s 1950s box methodology. The script tracks consolidation zones in real time, verifies that price truly “respects” those zones for a fixed validation window, then waits for the first decisive range violation to mark a directional breakout. Every box is plotted end-to-end—from the first candle of the sideways range to the exact candle that ruptures it—giving you an on-chart, visually precise record of accumulation or distribution and the expansion that follows. --- ### HISTORICAL BACKGROUND * Nicolas Darvas was a professional ballroom dancer who traded U.S. equities by telegram while touring the world. * Without live news or Level II, he relied exclusively on **price** to infer institutional intent. * His core insight: true market-moving entities leave footprints in the form of tight ranges; once their buying (or selling) is complete, price erupts out of the “box.” * Darvas’s original procedure was manual—he kept notebooks, drew rectangles around highs and lows, and entered only when price punched out of the roof of a valid box. * This indicator distills that logic into a rolling, self-resetting state machine so you never miss a box or breakout on any timeframe. --- ### ALGORITHM DETAIL (FOUR-STATE MACHINE) **STATE 0 – RANGE DEFINITION**  • Examine the last *N* candles (default 7).  • Record `rangeHigh = highest(high, N) + tolerance`.  • Record `rangeLow = lowest(low, N) – tolerance`.  • Remember the index of the earliest bar in this window (`startBar`).  • Immediately transition to STATE 1. **STATE 1 – RANGE VALIDATION**  • Observe the next *N* candles (again default 7).  • If **any** candle prints `high > rangeHigh` or `low < rangeLow`, the validation fails and the engine resets to STATE 0 **beginning at the violating candle**—no halfway boxes, no overlap.  • If all *N* candles remain inside the range, the box becomes **armed** and we transition to STATE 2. **STATE 2 – ARMED (LIVE VISUAL FEEDBACK)**  • Draw a **green horizontal line** at `rangeHigh`.  • Draw a **red horizontal line** at `rangeLow`.  • Lines are extended in real time so the user can see the “live” Darvas ceiling and floor.  • Engine waits indefinitely for a breakout candle:   – **Up-Breakout** if `high > rangeHigh`.   – **Down-Breakout** if `low < rangeLow`. **STATE 3 – BREAKOUT & COOLDOWN**  • Upon breakout the script:   1. Deletes the live range lines.   2. Draws a **filled rectangle (box)** from `startBar` to the breakout bar.     ◦ **Green fill** when price exits above the ceiling.     ◦ **Red fill** when price exits below the floor.   3. Optionally prints two labels at the left edge of the box:     ◦ Dollar distance = `rangeHigh − rangeLow`.     ◦ Percentage distance = `(rangeHigh − rangeLow) / rangeLow × 100 %`.  • After painting, the script waits a **user-defined cooldown** (default = 7 bars) before reverting to STATE 0. The cooldown guarantees separation between consecutive tests and prevents overlapping rectangles. --- ### INPUT PARAMETERS (ALL ADJUSTABLE FROM THE SETTINGS PANEL) * **BARS TO DEFINE RANGE** – Number of candles used for both the definition and validation windows. Classic Darvas logic uses 7 but feel free to raise it on higher timeframes or volatile instruments. * **OPTIONAL TOLERANCE** – Absolute price buffer added above the ceiling and below the floor. Use a small tolerance to ignore single-tick spikes or data-feed noise. * **COOLDOWN BARS AFTER BREAKOUT** – How long the engine pauses before hunting for the next consolidation. Setting this equal to the range length produces non-overlapping, evenly spaced boxes. * **SHOW BOX DISTANCE LABELS** – Toggle on/off. When on, each completed box displays its vertical size in both dollars and percentage, anchored at the box’s left edge. --- ### REAL-TIME VISUALISATION * During the **armed** phase you see two extended, colour-coded guide-lines showing the exact high/low that must hold. * When the breakout finally occurs, those lines vanish and the rectangle instantly appears, coloured to match the breakout direction. * This immediate visual feedback turns any chart into a live Darvas tape—no manual drawing, no lag. --- ### PRACTICAL USE-CASES & BEST-PRACTICE WORKFLOWS * **INTRADAY MOMENTUM** – Drop the script on 1- to 15-minute charts to catch tight coils before they explode. The coloured box marks the precise origin of the expansion; stops can sit just inside the opposite side of the box. * **SWING & POSITION TRADING** – On 4-hour or daily charts, boxes often correspond to accumulation bases or volatility squeezes. Waiting for the box-validated breakout filters many false signals. * **MEAN-REVERSION OR “FADE” STRATEGIES** – If a breakout immediately fails and price re-enters the box, you may have trapped momentum traders; fading that failure can be lucrative. * **RISK MANAGEMENT** – Box extremes provide objective, structure-based stop levels rather than arbitrary ATR multiples. * **BACK-TEST RESEARCH** – Because each box is plotted from first range candle to breakout candle, you can programmatically measure hold time, range height, and post-breakout expectancy for any asset. --- ### CUSTOMISATION IDEAS FOR POWER USERS * **VOLATILITY-ADAPTIVE WINDOW** – Replace the fixed 7-bar length with a dynamic value tied to ATR percentile so the consolidation window stretches or compresses with volatility. * **MULTI-TIMEFRAME LOGIC** – Only arm a 5-minute box if the 1-hour trend is aligned. * **STRATEGY WRAPPER** – Convert the indicator to a full `strategy{}` script, automate entries on breakouts, and benchmark performance across assets. * **ALERTS** – Create TradingView alerts on both up-breakout and down-breakout conditions; route them to webhook for broker automation. --- ### FINAL THOUGHTS **Auto Darvas Boxes** packages one of the market’s oldest yet still potent price-action frameworks into a modern, self-resetting indicator. Whether you trade equities, futures, crypto, or forex, the script highlights genuine contraction-expansion sequences—Darvas’s original “boxes”—with zero manual effort, letting you focus solely on execution and risk.
Pine Script®指標
由garysebastianbrowniii提供
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®腳本庫
由Trading-IQ提供
Timeframe PivotsUse this tool to plot open prices from any timeframe as a pivot level with the option to go advanced and turn on extensions (instructions below), which review the relationship between previous and current open prices to build range extensions up to six levels wide. Please be aware extensions, nor vwap are not enabled by default! It is up to the user to determine how they wish to setup this indicator. Please read the full description for utilizing this indicator so that it's well known the complete feature set and understanding of how to enable additional plots, complete instruction is provided for all users below. Default configuration example: To enable extensions the user must open the indicator configuration by clicking the gear icon for "Timeframe Pivots", depending on screen resolution scrolling with mouse may need to occur in order to find the section labeled "Extensions", use the mouse or equivalent human interface device to check the checkbox to the right of the color plots and line type drop down. Extensions enabled example: Timeframe Selection Timeframes available to the indicator are any timeframe the platform makes available to the user by default, or also if the TradingView user has higher tier plan to create custom timeframes - those should be available as well. To adjust timeframe the user must open the indicator configuration by clicking the gear icon for "Timeframe Pivots", depending on screen resolution scrolling with mouse may need to occur in order to find the input labeled "Timeframe", use the mouse or equivalent human interface device select the drop down and select timeframe suitable to users application. How the extension width and extensions are calculated: The exact process takes the new timeframe change open price calculates the difference between prior open, once that has been completed then it's divided in half to build extensions. Code example: Extension Width = (Open - Open ) / 2 How the extensions are calculated: // +1 for positive extension, -1 for negative extension (Extension Width * (Configured Multiplier * 1)) + Pivot Open Price +1 Extension: $5 * (1.0 * 1) + $400 = $405 -1 Extension: $5 * (1.0 * -1) + $400 = $395 So it should be established how each projected extension, either positive or negative, is created. Range bound market detection and notes: One note regarding the ranges, sometimes the open prices of each period can be close in proximity to their predecessor, there's not enough range to build meaningful projections. In these situations this means the market is most likely range bound and prior range data is utilized to continue providing guidance. This addresses an issue with other pivot indicators that will instead blindly follow price and present useless pivot ranges. It does this through detection of average half range widths, the last 14 ranges to be exact, if the current, (open - open / 2), half range width is smaller than the average, prior half range width will be used. Code example: // assume past half range widths are 10, 8, 9, 5, 14, 7, 7, 9, 10, 10, 4, 7, 7, 8 float v_halfRangeWidthToUseForExtensions = na v_priorHalfRangeWidth = 10 v_avgHalfRangeWidth = 8.2 // past range widths sum = 115 / 14 v_newHalfRangeWidthToUseForExtensions = 2 // new open - open is tiny compared to avg if v_newHalfRangeWidthToUseForExtensions < v_avgHalfRangeWidth // replace new half range width with previous one v_newHalfRangeWidthToUseForExtensions := v_priorHalfRangeWidth In the code example above if the new half range width was above or equal to the rolling average, no adjustment would be made by the indicator. VWAP Additional feature of showing vwap, anchored to the same timeframe as the pivot, provides a trend and volume analysis within the confines of the pivots range. The user must open the indicator configuration by clicking the gear icon for "Timeframe Pivots", scroll using mouse to the "VWAP" section and click the checkbox next to the "Source" field, past the color plots. They are not enabled by default! The user can also add the bands for VWAP by clicking the checkbox next to the "Bands" field, past the color plots. They are not enabled by default! VWAP calculations begin from open price of new timeframe change, then afterwards the "Source" set is utilized, the default is HLC3 which is standard for VWAP indicators. Multiple Timeframe Analysis (MTFA) It's simple to create a unique combination of favored timeframes for multiple timeframe analysis, consider daily, weekly and monthly combined analysis for powerful indications of market sentiment and directional bias. Example MTFA demonstration: Why was this created? I created this while investigating the efficacy of open price ranges, it became apparent that these pivot ranges are some of the more price respecting pivots I've ever observed. I also grew tired of lack of price adherence to other pivot indicators widely available. There exists a relationship between each timeframes open price in comparison to prior open price, if the market is willing to navigate to a prior lower open price from higher open price, it could be perceived as bearish and the extensions (if enabled as instructed above), could be suitable range based projections for future price movements. Example comparison: As can be seen, and there are many examples, where Timeframe Pivots provides more discreet levels and potential explanations for price movements.
Pine Script®指標
由TradeSeekers提供
17
[KVA]Body Percentage Counter This indicator presents a comprehensive view of the historical candle data within user-defined body percentage ranges. Each column represents a specific body size percentage threshold, starting from as low as 0.01% and extending up to 20%. The rows categorize candles by their closing and opening price differences, effectively sorting them into green (bullish) and red (bearish) candles based on whether they closed higher or lower than their opening prices. First Row of the table is the bu For developers, this table can be immensely useful in determining stop-loss ranges. By analyzing the frequency of candles that fall within certain body percentage ranges, developers can better understand where to set stop-loss orders. For instance, if a developer notices a high frequency of candles with body sizes within a specific percentage range, they may choose to set their stop-loss orders outside of this range to avoid being stopped out by normal market fluctuations. Moreover, the indicator can be used to: Volatility Assessment : The indicator can be used to gauge market volatility. Smaller bodies may indicate consolidation periods, while larger bodies might suggest more volatile market conditions. Optimize Trading Strategies : Adjust entry and exit points based on the prevalence of certain candle sizes. Risk Management : Determine the commonality of price movements within a certain range to better manage risks. Backtesting : Use historical data to backtest how different stop-loss ranges would have performed in the past. Comparative Analysis : Traders can compare the frequency of different body sizes over a selected period, providing insights into how the market is evolving. Educational Use : For new traders, the indicator can serve as an educational tool to understand the implications of candlestick sizes and their relationship with market dynamics The data provided in this output can guide developers to make more informed decisions about where to place stop-loss orders, potentially increasing the effectiveness of their trading algorithms or manual trading strategies. The output of the " Body Percentage Counter" indicator is organized into a table format, which can be broken down as follows: Header (First Row) : This row lists the body percentage thresholds used to categorize the candles. It starts from 0.01% and increases incrementally to 20%. These thresholds are likely set by the user and represent the range of candle body sizes as a percentage of the total candle size. Green Candle Count (Second Row) : This row displays the count of green candles—candles where the close price is higher than the open price—that fall within each body percentage threshold. For example, under the column "0.01", the number 25 indicates there are 25 green candles whose body size is 0.01% of the total candle size. Red Candle Count (Third Row) : This row shows the count of red candles—candles where the close price is lower than the open price—for each body percentage threshold. The numbers in this row reflect the number of red candles that match the body percentage criteria in the corresponding column. Total Candle Count (Fourth Row) : This row sums the counts of both green and red candles for each body percentage threshold, providing a total count of candles that have a body size within the specific range. For instance, if under "0.01" the green count is 25 and the red count is 26, then the total would be 51. This organized data representation allows users to quickly assess the distribution of candle body sizes over a historical period, which is especially useful for determining the frequency of price movements that are significant enough to consider for stop-loss settings or other trade management decisions.
Pine Script®指標
由Kamvia提供
Sessions [LuxAlgo]This indicator shows when user set sessions are active and returns various tools + metrics using the closing price within active sessions as an input. Users have the option to change up to 4 session times. The indicator will increasingly lack accuracy when the chart timeframe is higher than 1 hour. Settings Sessions Enable Session: Allows to enable or disable all associated elements with a specific user set session. Session Time: Opening and closing times of the user set session in the hh:mm format. Range: Highlights the associated session range on the chart. Trendline: Returns the associated session trendline on the chart. Mean: Returns the associated session mean average on the chart. VWAP: Returns the associated session volume weighted average price on the chart. Ranges Settings Range Area Transparency: Transparency of the area highlighting sessions ranges. Range Outline: Highlights the borders of the session range area. Range Label: Shows the session label at the mid-point of the session interval. Dashboard Show Dashboard: Enables sessions dashboard on the chart. Advanced Dashboard: Returns more information regarding user set sessions on the dashboard. Dividers Show Session Divider: Highlights active sessions using intervals on the bottom of the chart (this can lead to less responsive charts) Show Daily Divider: Highlights days on the chart. Usage This tool is versatile and allows the user to perform a wide variety of tasks all focusing on highlighting and analyzing price movements within a specific user set session in a periodic fashion. Significant forex trading sessions are used by default, but the users are free to choose the opening and closing time of their choices. Using ranges can indicate which sessions returned the most volatile price movements. Trendlines can be useful to estimate the underlying trend of a specific session, but they can also offer a quick way to see which session started a trend reversal. The session Mean highlights the equilibrium level within a session, extrapolating these levels can provide potential support and resistances levels of interest. Finally, users can use the sessions VWAP's for real time applications, using them as trailing supports and resistances. Using The Advanced Dashboard The advanced dashboard returns useful information regarding the user set sessions. Each dashboard elements are described below: Status: Highlights whether the user set session is active (open) of inactive (closed). Trend: Shows correlation coefficient between the session prices and a linear sequence of values. Values above 0 indicates an up-trending session, while values under 0 indicates a down-trending session. Values closer to (1, -1) indicates a more trending session. Volume: Shows accumulated volume within the session σ (Standard Deviation): Shows standard deviation of the session, while this value is not bounded it can be useful to compare it with the other ones to see which session was the most volatile. Note that when a session becomes inactive the value on the dashboard will hold until the specific session becomes active again.
Pine Script®指標
由LuxAlgo提供
78
ORB Advanced Cloud Indicator & FIB's by TenAMTraderSummary: ORB Advanced Cloud Indicator with Alerts and Fibonacci Retracement Targets by TenAMTrader This TradingView script is an advanced version of the Opening Range Breakout (ORB) indicator, enhanced with visual clouds and Fibonacci retracement/extension levels. It is designed to help traders identify key price levels and track price movements relative to those levels throughout the trading day. The script includes alert functionalities to notify traders when price crosses key levels and when Fibonacci levels are reached, which can serve as potential entry and exit targets. Key Features: Primary and Secondary Range Calculation: The indicator calculates the primary range (defined by a start and end time) and optionally, a secondary range. The primary range includes the highest and lowest prices during the designated time period, as well as the midpoint of this range. The secondary range (if enabled) tracks another price range during a second time period, with its own high, low, and midpoint. Visual Clouds: The script draws colored clouds between the high, midpoint, and low of the opening range. The upper cloud spans between the Opening High and Midpoint, while the lower cloud spans between the Midpoint and Opening Low. Similarly, a second set of clouds can be drawn for the secondary range (if enabled). Fibonacci Levels: The script calculates Fibonacci retracement and extension levels based on the primary range (the difference between the Opening High and Opening Low). Fibonacci levels can be used as entry and exit targets in a trading strategy, as these levels often act as potential support/resistance zones. Fibonacci levels include standard values like -0.236, -0.382, -0.618, and positive extensions like 1.236, 1.618, etc. Customizable Alerts: Alerts can be set to trigger when: The price crosses above the Opening High. The price crosses below the Opening Low. The price crosses the Opening Midpoint. These alerts can help traders act quickly on important price movements relative to the opening range. Customization Options: The indicator allows users to adjust the time settings for both the primary and secondary ranges. Custom colors can be set for the lines, clouds, and Fibonacci levels. The visibility of each line and cloud can be toggled on or off, giving users flexibility in how the chart is displayed. Fibonacci Levels Overview: The script includes several Fibonacci retracement and extension levels: Negative Retracements (e.g., -0.236, -0.382, -0.50, -0.618, etc.) are plotted below the Opening Low, and can act as potential support levels in a downtrend. Positive Extensions (e.g., 1.236, 1.382, 1.618, 2.0, etc.) are plotted above the Opening High, and can act as potential resistance levels in an uptrend. Fib levels can be used as entry and exit targets to capitalize on price reversals or breakouts. Safety Warning: This script is for educational and informational purposes only and is not intended as financial advice. While it provides valuable technical information about price ranges and Fibonacci levels, trading always involves risk. Users are encouraged to: Paper trade or use a demo account before applying this indicator with real capital. Use proper risk management strategies, including stop-loss orders, to protect against unexpected market movements. Understand that no trading strategy, indicator, or tool can guarantee profits, and losses can occur. Important: The creator, TenAMTrader, and TradingView are not responsible for any financial losses resulting from the use of this script. Always trade responsibly, and ensure you fully understand the risks involved in any trading strategy.
Pine Script®指標
由TenAM_Trader提供
1
Delta Flow Profile [LuxAlgo]The Delta Flow Profile is a charting tool that tracks and visualizes money flow and the difference between buying and selling pressure accumulated within multiple price ranges over a specified period. It reveals the relationship between an asset's price and traders' willingness to buy or sell, helping traders identify significant price levels and analyze market activity. The Normalized Profile displays the percentage of money flow at each price level relative to the maximum money flow level, enabling traders to easily compare levels and understand the relative importance of each price point in the context of overall trading activity. 🔶 USAGE The Delta Flow Profile is made of two principal components with different usability, each one of them described in the sub-sections below. 🔹 Money Flow Profile The Money Flow Profile illustrates the total buying and selling activity at different price ranges. By analyzing this profile, users can identify key price zones with substantial buying or selling pressure. These zones can often act as potential support or resistance. The rows of the Money Flow Profile represent the trading activity at specific price ranges over a given period. A normalized profile is included to compare each zone relative to the peak money flow using a percentage, with 100% indicating that a price range is the one with the highest accumulated money flow. 🔹 Delta Profile The Delta Profile assesses the dominant sentiment (buying or selling) from volume delta at different price levels to gauge market sentiment and potential reversals. Delta Profile rows with more significant buying or selling volume indicate dominance from one side of the market in that specific price area. Price coming back to that area might indicate willingness from a dominant side to further accumulate orders within it, potentially causing price to follow the direction established by this dominant side afterward. The volume delta is determined from the user-selected Polarity Method, with "Bar Polarity" using candle sentiment to determine if a bar associated volume is buying or selling volume, and "Bar Buying/Selling Pressure" making use of the high/low price to obtain more precise results. 🔹 Level of Significance Users can quickly highlight the price levels with the highest recorded money flow activity through the included "Level of Significance". Various display methods are included: Developing: Show the price level with the highest recorded money flow activity spanning over the indicator calculation interval. Level: Show the price level with the highest recorded money flow activity. Row: Show the price zone with the highest recorded money flow activity. These levels/zones can be used as potential support/resistance points and can serve as a reference of where prices might go next for market participants to accumulate orders. 🔶 SETTINGS The script offers a range of customizable settings to tailor the analysis to your trading needs. 🔹 Calculation Settings Money Flow Profile: Toggles the visibility of the Money Flow Profile. Normalized: Toggles the visibility of the Normalized Profile. Sentiment Profile: Toggles the visibility of the Sentiment Profile. Polarity Method: Choose between Bar Polarity or Bar Buying/Selling Pressure to calculate the Sentiment Profile. Level of Significance: Toggles the visibility of the level of significance line/zone. Lookback Length / Fixed Range: Sets the lookback length. Number of Rows: Specify how many rows each profile histogram will have. 🔹 Display Settings Profile Width %: Alters the width of the rows in the histogram, relative to the profile length. Profile Horizontal Offset: Enables moving the profile on the horizontal axis. Profile Text: Toggles the visibility of profile texts, and alters the size of the text. Setting to Auto will keep the text within the box limits. Currency: Extends the profile text with the traded currency. Profile Price Levels: Toggles the visibility of the profile price levels. 🔶 RELATED SCRIPTS Money-Flow-Profile Volume-Profile-with-Node-Detection
Pine Script®指標
由LuxAlgo提供
22
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®指標
由WeloTrades提供
114
Edufx's Power of ThreeIndicator Overview Name: Edufx's Power of Three Purpose: To highlight the high and low price ranges of specific hourly candles on a chart. To visualize these ranges using rectangles. Features Visibility Toggle: Users can enable or disable the visibility of the rectangles highlighting the high and low price ranges of the specified candles. Customizable Rectangle Length: Users can adjust the length of the rectangles that extend from the specified candle's high and low prices. Price Range Tracking: The high and low prices of the specified candles are tracked and stored. Rectangle Drawing: Rectangles are drawn from 5 bars before the end of the specified hour, highlighting the high and low price ranges. How It Works Price Range Tracking: During each specified hour, the high and low prices are updated with the highest and lowest prices observed. Rectangle Drawing: At the end of each specified hour, the high and low prices are used to draw rectangles extending 5 bars backward from the end of the hour. Rectangles are color-coded (red, green, and blue) for easy identification. Usage This indicator is useful for traders who want to monitor and react to key price levels at specific times of the day. The visual rectangles help in identifying potential trading opportunities based on price action relative to these key levels. Example If the price moves above the high of the specified candle but fails to close above it, a visual rectangle will highlight this price range. Similarly, if the price moves below the low of the specified candle but fails to close below it, the rectangle will indicate this range. This indicator provides visual aids to assist traders in making informed decisions based on the behavior of price at specific key levels.
Pine Script®指標
由Fx-Eddie提供
2
Murrey Math The Murrey Math indicator is a set of horizontal price levels, calculated from an algorithm developed by stock trader T.J. Murray. The main concept behind Murrey Math is that prices tend to react and rotate at specific price levels. These levels are calculated by dividing the price range into fixed segments called "ranges", usually using a number of 8, 16, 32, 64, 128 or 256. Murrey Math levels are calculated as follows: 1. A particular price range is taken, for example, 128. 2. Divide the current price by the range (128 in this example). 3. The result is rounded to the nearest whole number. 4. Multiply that whole number by the original range (128). This results in the Murrey Math level closest to the current price. More Murrey levels are calculated and drawn by adding and subtracting multiples of the range to the initially calculated level. Traders use Murrey Math levels as areas of possible support and resistance as it is believed that prices tend to react and pivot at these levels. They are also used to identify price patterns and possible entry and exit points in trading. The Murrey Math indicator itself simply calculates and draws these horizontal levels on the price chart, allowing traders to easily visualize them and use them in their technical analysis. HOW TO USE THIS INDICATOR? To use the Murrey Math indicator effectively, here are some tips: 1. Choose the appropriate Murrey Math range : The Murrey Math range input (128 by default in the provided code) determines the spacing between the levels. Common ranges used are 8, 16, 32, 64, 128, and 256. A smaller range will give you more levels, while a larger range will give you fewer levels. Choose a range that suits the volatility and trading timeframe you're working with. 2. Identify potential support and resistance levels: The horizontal lines drawn by the indicator represent potential support and resistance levels based on the Murrey Math calculation. Prices often react or reverse at these levels, so they can be used to spot areas of interest for entries and exits. 3. Look for price reactions at the levels: Watch for price action like rejections, bounces, or breakouts at the Murrey Math levels. These reactions can signal potential trend continuation or reversal setups. 4. Trail stop-loss orders: You can place stop-loss orders just below/above the nearest Murrey Math level to manage risk if the price moves against your trade. 5. Set targets at future levels: Project potential profit targets by looking at upcoming Murrey Math levels in the direction of the trend. 7. Adjust range as needed: If prices are consistently breaking through levels without reacting, try adjusting the range input to a different value to see if it provides better levels. In which asset can this indicator perform better? The Murrey Math indicator can potentially perform well on any liquid financial asset that exhibits some degree of mean-reversion or trading range behavior. However, it may be more suitable for certain asset classes or trading timeframes than others. Here are some assets and scenarios where the Murrey Math indicator can potentially perform better: 1. Forex Markets: The foreign exchange market is known for its ranging and mean-reverting nature, especially on higher timeframes like the daily or weekly charts. The Murrey Math levels can help identify potential support and resistance levels within these trading ranges. 2. Futures Markets: Futures contracts, such as those for commodities (e.g., crude oil, gold, etc.) or equity indices, often exhibit trading ranges and mean-reversion trends. The Murrey Math indicator can be useful in identifying potential turning points within these ranges. 3. Stocks with Range-bound Behavior: Some stocks, particularly those of large-cap companies, can trade within well-defined ranges for extended periods. The Murrey Math levels can help identify the boundaries of these ranges and potential reversal points. 4. I ntraday Trading: The Murrey Math indicator may be more effective on lower timeframes (e.g., 1-hour, 30-minute, 15-minute) for intraday trading, as prices tend to respect support and resistance levels more closely within shorter time periods. 5. Trending Markets: While the Murrey Math indicator is primarily designed for range-bound markets, it can also be used in trending markets to identify potential pullback or continuation levels.
Pine Script®指標
由AlgoriZate提供
4
Brake Of Structure (BOS) By GadatasThis indicator is designed to identify and track swing highs and lows in a given market on any timeframe. It plots these swing highs and lows as solid lines on the chart. The indicator allows for customization of the line color and width and using another timeframe. The indicator follows specific rules to determine when a new high or low is created. If the current range is considered bullish (meaning the most recent breakout was to the topside), the indicator will only update the low if a candle's body falls below the current low. However, if the current range is bearish (most recent breakout to the downside), the indicator will only update the high if a candle's body rises above the current high. When a range is identified as bullish, the indicator will continue updating the high until a swing high is formed, denoting the high of the range. The high will only change if a candle's body surpasses the previous high. The low, on the other hand, will be updated based on the last time a candle's body falls below a previous candle's low. The lowest low after this condition is met will be assigned as the low of the range. Conversely, when a range is identified as bearish, the indicator will continue updating the low until a swing low is formed, denoting the low of the range. The low will only change if a candle's body falls below the previous low. The high, in this case, will be updated based on the last time a candle's body rises above a previous candle's high. The highest high after this condition is met will be assigned as the high of the range. Swing highs are determined by having lower highs to the left and right, while swing lows have higher lows to the left and right. These swings are used to determine the final high or low of a bullish or bearish range, respectively. Tis Indicator differs from other indicators by incorporating this concept to track market structure. The indicator assumes that significant market players sell before making heavy purchases in bullish ranges and buy before selling heavily in bearish ranges. The lines on the chart represent prior highs and lows, as well as the current updated highs and lows based on this theory. By using this indicator, one can gain insights into the structure of price movement and potentially identify bullish or bearish continuations. It can also provide confluence when analyzing multiple timeframes to validate trend-following strategies.
Pine Script®指標
由gadatas提供
4
Technical Dashboard with High and Low Price Prediction Hello everyone! I am releasing this indicator. It is called the Technical Dashboard and the name is pretty self explanatory! So let's get into it: What it does: The technical dashboard displays 4 commonly used technical indicators: Stochastics, RSI, Z-Score and MFI. It will display the current value of each of these technical indicators, as well as the highest and lowest value over a user defined period and the SMA. The user can input the source and lookback period for each of the indicators individually. It is defaulted to 14, but I do recommend using a larger lookback time period as 14 tends to be a little too narrow. The indicator will display a notice of whether the stock is trading in a max range, min range or neutral range based on its previous highest and lowest range. If the stock is trading between the highest and lowest range, it will display a neutral range reading. In addition to displaying those 4 commonly used technical indicators, the indicator will also display the highest and lowest highs and lows of a ticker over a user defined period. You can opt for it to plot out the High and Low SMA and select your timeframe for these SMA plots. The current value for the High and Low actually depicts a predicted High and Low based on the user defined lookback period. The Current Range column will show you when and if the predicted high or low is reached. The high and low defaults to the timeframe you are on. So if you are trading off the 5 minute chart, it will display the predicted high and low on the 5 minute time frame. The 1 hour, it will show the 1 hour, etc. It provides price prediction using a simple regression based analysis that pinescript provides. Examples of its use: In the image above, you can see how the indicator shows you when the stock is trading in some of its max ranges. Note that just because a stock is trading in its max or min range does not necessarily mean that the stock is going to reverse in the opposite direction. While highest and lowest represent previous areas of reversal, it doesn't always mean that it will result in a reversal again. What it tells us more is whether momentum has picked up one way or the other, be it bearish or bullish momentum. This is useful information to help us decide whether a ticker has good momentum and whether a move is likely to have follow through. However, a stock trading in its high or low range can indeed signal a reversal. It is important to pay attention to the underlying price action and plan your trades accordingly. Customizations All of the indicators are individually customizable, from lookback length, SMA length and input source for RSI, Z-Score and MFI. In addition to the lookback periods, you can also view highest and lowest ranges based on the SMA length. If you select "Show reversals based on SMA", the indicator will display the highest and lowest values of the SMA instead of the stock itself. Gauging Strength: You can use this indicator to gauge strength in many ways. First of all, your ability to see where a stock is trading relative to its historically high and low technical ranges helps you determine the overall momentum of the stock. However, you can have the indicator plot the predicted high and low ranges (see image below): The green arrows are pointing to areas where the stock is breaking past its high levels. This shows that the over-arching sentiment is bullish. However, we can see when it starts to lose steam, it stops touching the high values and starts to touch and break below the low values (red arrows). This signals to us that the stock is losing the bullish momentum and we should be alert for a reversal to the downside or upside, depending on the setup. There are many applications you can use it for and there is a lot of customizability. Play around with it and let me know what you think, how it helps you and any suggestions for its improvement. As always, I have prepared a quick video tutorial on getting started with the setups on the indicator which is linked below: Thank you all for checking this out and safe trades everyone!
Pine Script®指標
由Steversteves提供
6
DR/IDR of Omega by TRSTNThis is an EXPERIMENTAL Script by @TRSTNGLRD derived from the coding of @IAmMas7er's "DR/IDR" Indicator that adds a total of 11 additional DR / IDR Ranges on both lower and higher timeframes. This script is no-longer being worked on, so I have made it public. Background: This Script utilizes the Fibonacci-Doubling Sequence between the range of 18:30pm and 16:55pm NY-Time. Each Cycle is grouped into the following: Omega/2, Omega/4, Omega/8, and Omega/16 The Mas7er's three original sessions are: Omega/4v1, Omega/4v2, and Omega/8v1 These three Sessions above take rule over all others. If you are looking to back-test this version of the script, please use the Experimental ranges as confirmation for the three above. Important Notes: - Please only select Sessions with their respected groups (All of Omega/4, All of Omega/16, etc...) rather than selecting all of them at once. If you select all of them at once, the ranges will not be correct and cut each other off. The only exceptions to this rule are the Mas7er's original ranges above. - If you wish to have multiple groups of Ranges together, please add a second indicator to your chart. - Omega/16v1 and Omega/16v6 are known to have a high-probability of a Judas Swing (takes out both sides of the range) - Be Cautious! - Omega/2v1 is a very large DR / IDR range. I am working on shrinking it in size, but have more experimenting to do with different ranges. - I do not use the experimental ranges with the IDR , only the DR . I have not been able to define probabilities fully yet, but the levels are respected nonetheless. This script is not supposed to work EXACTLY like the Mas7er's, rather, generally instead. Please comment and leave your opinion below about which ranges work the best and how you may utilize them. Thank you!
Pine Script®指標
由TRSTNGLRD提供
6
ValueAtTime█ OVERVIEW This library is a Pine Script® programming tool for accessing historical values in a time series using UNIX timestamps . Its data structure and functions index values by time, allowing scripts to retrieve past values based on absolute timestamps or relative time offsets instead of relying on bar index offsets. █ CONCEPTS UNIX timestamps In Pine Script®, a UNIX timestamp is an integer representing the number of milliseconds elapsed since January 1, 1970, at 00:00:00 UTC (the UNIX Epoch ). The timestamp is a unique, absolute representation of a specific point in time. Unlike a calendar date and time, a UNIX timestamp's meaning does not change relative to any time zone . This library's functions process series values and corresponding UNIX timestamps in pairs , offering a simplified way to identify values that occur at or near distinct points in time instead of on specific bars. Storing and retrieving time-value pairs This library's `Data` type defines the structure for collecting time and value information in pairs. Objects of the `Data` type contain the following two fields:  • `times` – An array of "int" UNIX timestamps for each recorded value.  • `values` – An array of "float" values for each saved timestamp. Each index in both arrays refers to a specific time-value pair. For instance, the `times` and `values` elements at index 0 represent the first saved timestamp and corresponding value. The library functions that maintain `Data` objects queue up to one time-value pair per bar into the object's arrays, where the saved timestamp represents the bar's opening time . Because the `times` array contains a distinct UNIX timestamp for each item in the `values` array, it serves as a custom mapping for retrieving saved values. All the library functions that return information from a `Data` object use this simple two-step process to identify a value based on time:  1. Perform a binary search on the `times` array to find the earliest saved timestamp closest to the specified time or offset and get the element's index.  2. Access the element from the `values` array at the retrieved index, returning the stored value corresponding to the found timestamp. Value search methods There are several techniques programmers can use to identify historical values from corresponding timestamps. This library's functions include three different search methods to locate and retrieve values based on absolute times or relative time offsets: Timestamp search   Find the value with the earliest saved timestamp closest to a specified timestamp. Millisecond offset search Find the value with the earliest saved timestamp closest to a specified number of milliseconds behind the current bar's opening time. This search method provides a time-based alternative to retrieving historical values at specific bar offsets. Period offset search Locate the value with the earliest saved timestamp closest to a defined period offset behind the current bar's opening time. The function calculates the span of the offset based on a period string . The "string" must contain one of the following unit tokens:  • "D" for days  • "W" for weeks  • "M" for months  • "Y" for years  • "YTD" for year-to-date, meaning the time elapsed since the beginning of the bar's opening year in the exchange time zone. The period string can include a multiplier prefix for all supported units except "YTD" (e.g., "2W" for two weeks). Note that the precise span covered by the "M", "Y", and "YTD" units varies across time. The "1M" period can cover 28, 29, 30, or 31 days, depending on the bar's opening month and year in the exchange time zone. The "1Y" period covers 365 or 366 days, depending on leap years. The "YTD" period's span changes with each new bar, because it always measures the time from the start of the current bar's opening year. █ CALCULATIONS AND USE This library's functions offer a flexible, structured approach to retrieving historical values at or near specific timestamps, millisecond offsets, or period offsets for different analytical needs. See below for explanations of the exported functions and how to use them. Retrieving single values The library includes three functions that retrieve a single stored value using timestamp, millisecond offset, or period offset search methods:  • `valueAtTime()` – Locates the saved value with the earliest timestamp closest to a specified timestamp.  • `valueAtTimeOffset()` – Finds the saved value with the earliest timestamp closest to the specified number of milliseconds behind the current bar's opening time.  • `valueAtPeriodOffset()` – Finds the saved value with the earliest timestamp closest to the period-based offset behind the current bar's opening time. Each function has two overloads for advanced and simple use cases. The first overload searches for a value in a user-specified `Data` object created by the `collectData()` function (see below). It returns a tuple containing the found value and the corresponding timestamp. The second overload maintains a `Data` object internally to store and retrieve values for a specified `source` series. This overload returns a tuple containing the historical `source` value, the corresponding timestamp, and the current bar's `source` value, making it helpful for comparing past and present values from requested contexts. Retrieving multiple values The library includes the following functions to retrieve values from multiple historical points in time, facilitating calculations and comparisons with values retrieved across several intervals:  • `getDataAtTimes()` – Locates a past `source` value for each item in a `timestamps` array. Each retrieved value's timestamp represents the earliest time closest to one of the specified timestamps.  • `getDataAtTimeOffsets()` – Finds a past `source` value for each item in a `timeOffsets` array. Each retrieved value's timestamp represents the earliest time closest to one of the specified millisecond offsets behind the current bar's opening time.  • `getDataAtPeriodOffsets()` – Finds a past value for each item in a `periods` array. Each retrieved value's timestamp represents the earliest time closest to one of the specified period offsets behind the current bar's opening time. Each function returns a tuple with arrays containing the found `source` values and their corresponding timestamps. In addition, the tuple includes the current `source` value and the symbol's description, which also makes these functions helpful for multi-interval comparisons using data from requested contexts. Processing period inputs When writing scripts that retrieve historical values based on several user-specified period offsets, the most concise approach is to create a single text input that allows users to list each period, then process the "string" list into an array for use in the `getDataAtPeriodOffsets()` function. This library includes a `getArrayFromString()` function to provide a simple way to process strings containing comma-separated lists of periods. The function splits the specified `str` by its commas and returns an array containing every non-empty item in the list with surrounding whitespaces removed. View the example code to see how we use this function to process the value of a text area input . Calculating period offset times Because the exact amount of time covered by a specified period offset can vary, it is often helpful to verify the resulting times when using the `valueAtPeriodOffset()` or `getDataAtPeriodOffsets()` functions to ensure the calculations work as intended for your use case. The library's `periodToTimestamp()` function calculates an offset timestamp from a given period and reference time. With this function, programmers can verify the time offsets in a period-based data search and use the calculated offset times in additional operations. For periods with "D" or "W" units, the function calculates the time offset based on the absolute number of milliseconds the period covers (e.g., `86400000` for "1D"). For periods with "M", "Y", or "YTD" units, the function calculates an offset time based on the reference time's calendar date in the exchange time zone. Collecting data All the `getDataAt*()` functions, and the second overloads of the `valueAt*()` functions, collect and maintain data internally, meaning scripts do not require a separate `Data` object when using them. However, the first overloads of the `valueAt*()` functions do not collect data, because they retrieve values from a user-specified `Data` object. For cases where a script requires a separate `Data` object for use with these overloads or other custom routines, this library exports the `collectData()` function. This function queues each bar's `source` value and opening timestamp into a `Data` object and returns the object's ID. This function is particularly useful when searching for values from a specific series more than once. For instance, instead of using multiple calls to the second overloads of `valueAt*()` functions with the same `source` argument, programmers can call `collectData()` to store each bar's `source` and opening timestamp, then use the returned `Data` object's ID in calls to the first `valueAt*()` overloads to reduce memory usage. The `collectData()` function and all the functions that collect data internally include two optional parameters for limiting the saved time-value pairs to a sliding window: `timeOffsetLimit` and `timeframeLimit`. When either has a non-na argument, the function restricts the collected data to the maximum number of recent bars covered by the specified millisecond- and timeframe-based intervals. NOTE : All calls to the functions that collect data for a `source` series can execute up to once per bar or realtime tick, because each stored value requires a unique corresponding timestamp. Therefore, scripts cannot call these functions iteratively within a loop . If a call to these functions executes more than once inside a loop's scope, it causes a runtime error. █ EXAMPLE CODE The example code at the end of the script demonstrates one possible use case for this library's functions. The code retrieves historical price data at user-specified period offsets, calculates price returns for each period from the retrieved data, and then populates a table with the results. The example code's process is as follows:   1. Input a list of periods – The user specifies a comma-separated list of period strings in the script's "Period list" input (e.g., "1W, 1M, 3M, 1Y, YTD"). Each item in the input list represents a period offset from the latest bar's opening time.   2. Process the period list – The example calls `getArrayFromString()` on the first bar to split the input list by its commas and construct an array of period strings.   3. Request historical data – The code uses a call to `getDataAtPeriodOffsets()` as the `expression` argument in a request.security() call to retrieve the closing prices of "1D" bars for each period included in the processed `periods` array.   4. Display information in a table – On the latest bar, the code uses the retrieved data to calculate price returns over each specified period, then populates a two-row table with the results. The cells for each return percentage are color-coded based on the magnitude and direction of the price change. The cells also include tooltips showing the compared daily bar's opening date in the exchange time zone. █ NOTES  • This library's architecture relies on a user-defined type (UDT) for its data storage format. UDTs are blueprints from which scripts create objects , i.e., composite structures with fields containing independent values or references of any supported type.  • The library functions search through a `Data` object's `times` array using the array.binary_search_leftmost() function, which is more efficient than looping through collected data to identify matching timestamps. Note that this built-in works only for arrays with elements sorted in ascending order .  • Each function that collects data from a `source` series updates the values and times stored in a local `Data` object's arrays. If a single call to these functions were to execute in a loop , it would store multiple values with an identical timestamp, which can cause erroneous search behavior. To prevent looped calls to these functions, the library uses the `checkCall()` helper function in their scopes. This function maintains a counter that increases by one each time it executes on a confirmed bar. If the count exceeds the total number of bars, indicating the call executes more than once in a loop, it raises a runtime error .  • Typically, when requesting higher-timeframe data with request.security() while using barmerge.lookahead_on as the `lookahead` argument, the `expression` argument should be offset with the history-referencing operator to prevent lookahead bias on historical bars. However, the call in this script's example code enables lookahead without offsetting the `expression` because the script displays results only on the last historical bar and all realtime bars, where there is no future data to leak into the past. This call ensures the displayed results use the latest data available from the context on realtime bars. Look first. Then leap. █ EXPORTED TYPES Data   A structure for storing successive timestamps and corresponding values from a dataset.   Fields:      times (array) : An "int" array containing a UNIX timestamp for each value in the `values` array.      values (array) : A "float" array containing values corresponding to the timestamps in the `times` array. █ EXPORTED FUNCTIONS getArrayFromString(str)   Splits a "string" into an array of substrings using the comma (`,`) as the delimiter. The function trims surrounding whitespace characters from each substring, and it excludes empty substrings from the result.   Parameters:      str (series string) : The "string" to split into an array based on its commas.   Returns: (array) An array of trimmed substrings from the specified `str`. periodToTimestamp(period, referenceTime)   Calculates a UNIX timestamp representing the point offset behind a reference time by the amount of time within the specified `period`.   Parameters:      period (series string) : The period string, which determines the time offset of the returned timestamp. The specified argument must contain a unit and an optional multiplier (e.g., "1Y", "3M", "2W", "YTD"). Supported units are: - "Y" for years. - "M" for months. - "W" for weeks. - "D" for days. - "YTD" (Year-to-date) for the span from the start of the `referenceTime` value's year in the exchange time zone. An argument with this unit cannot contain a multiplier.      referenceTime (series int) : The millisecond UNIX timestamp from which to calculate the offset time.   Returns: (int) A millisecond UNIX timestamp representing the offset time point behind the `referenceTime`. collectData(source, timeOffsetLimit, timeframeLimit)   Collects `source` and `time` data successively across bars. The function stores the information within a `Data` object for use in other exported functions/methods, such as `valueAtTimeOffset()` and `valueAtPeriodOffset()`. Any call to this function cannot execute more than once per bar or realtime tick.   Parameters:      source (series float) : The source series to collect. The function stores each value in the series with an associated timestamp representing its corresponding bar's opening time.      timeOffsetLimit (simple int) : Optional. A time offset (range) in milliseconds. If specified, the function limits the collected data to the maximum number of bars covered by the range, with a minimum of one bar. If the call includes a non-empty `timeframeLimit` value, the function limits the data using the largest number of bars covered by the two ranges. The default is `na`.      timeframeLimit (simple string) : Optional. A valid timeframe string. If specified and not empty, the function limits the collected data to the maximum number of bars covered by the timeframe, with a minimum of one bar. If the call includes a non-na `timeOffsetLimit` value, the function limits the data using the largest number of bars covered by the two ranges. The default is `na`.   Returns: (Data) A `Data` object containing collected `source` values and corresponding timestamps over the allowed time range. method valueAtTime(data, timestamp)   (Overload 1 of 2) Retrieves value and time data from a `Data` object's fields at the index of the earliest timestamp closest to the specified `timestamp`. Callable as a method or a function.   Parameters:      data (series Data) : The `Data` object containing the collected time and value data.      timestamp (series int) : The millisecond UNIX timestamp to search. The function returns data for the earliest saved timestamp that is closest to the value.   Returns: ( ) A tuple containing the following data from the `Data` object: - The stored value corresponding to the identified timestamp ("float"). - The earliest saved timestamp that is closest to the specified `timestamp` ("int"). valueAtTime(source, timestamp, timeOffsetLimit, timeframeLimit)   (Overload 2 of 2) Retrieves `source` and time information for the earliest bar whose opening timestamp is closest to the specified `timestamp`. Any call to this function cannot execute more than once per bar or realtime tick.   Parameters:      source (series float) : The source series to analyze. The function stores each value in the series with an associated timestamp representing its corresponding bar's opening time.      timestamp (series int) : The millisecond UNIX timestamp to search. The function returns data for the earliest bar whose timestamp is closest to the value.      timeOffsetLimit (simple int) : Optional. A time offset (range) in milliseconds. If specified, the function limits the collected data to the maximum number of bars covered by the range, with a minimum of one bar. If the call includes a non-empty `timeframeLimit` value, the function limits the data using the largest number of bars covered by the two ranges. The default is `na`.      timeframeLimit (simple string) : (simple string) Optional. A valid timeframe string. If specified and not empty, the function limits the collected data to the maximum number of bars covered by the timeframe, with a minimum of one bar. If the call includes a non-na `timeOffsetLimit` value, the function limits the data using the largest number of bars covered by the two ranges. The default is `na`.   Returns: ( ) A tuple containing the following data: - The `source` value corresponding to the identified timestamp ("float"). - The earliest bar's timestamp that is closest to the specified `timestamp` ("int"). - The current bar's `source` value ("float"). method valueAtTimeOffset(data, timeOffset)   (Overload 1 of 2) Retrieves value and time data from a `Data` object's fields at the index of the earliest saved timestamp closest to `timeOffset` milliseconds behind the current bar's opening time. Callable as a method or a function.   Parameters:      data (series Data) : The `Data` object containing the collected time and value data.      timeOffset (series int) : The millisecond offset behind the bar's opening time. The function returns data for the earliest saved timestamp that is closest to the calculated offset time.   Returns: ( ) A tuple containing the following data from the `Data` object: - The stored value corresponding to the identified timestamp ("float"). - The earliest saved timestamp that is closest to `timeOffset` milliseconds before the current bar's opening time ("int"). valueAtTimeOffset(source, timeOffset, timeOffsetLimit, timeframeLimit)   (Overload 2 of 2) Retrieves `source` and time information for the earliest bar whose opening timestamp is closest to `timeOffset` milliseconds behind the current bar's opening time. Any call to this function cannot execute more than once per bar or realtime tick.   Parameters:      source (series float) : The source series to analyze. The function stores each value in the series with an associated timestamp representing its corresponding bar's opening time.      timeOffset (series int) : The millisecond offset behind the bar's opening time. The function returns data for the earliest bar's timestamp that is closest to the calculated offset time.      timeOffsetLimit (simple int) : Optional. A time offset (range) in milliseconds. If specified, the function limits the collected data to the maximum number of bars covered by the range, with a minimum of one bar. If the call includes a non-empty `timeframeLimit` value, the function limits the data using the largest number of bars covered by the two ranges. The default is `na`.      timeframeLimit (simple string) : Optional. A valid timeframe string. If specified and not empty, the function limits the collected data to the maximum number of bars covered by the timeframe, with a minimum of one bar. If the call includes a non-na `timeOffsetLimit` value, the function limits the data using the largest number of bars covered by the two ranges. The default is `na`.   Returns: ( ) A tuple containing the following data: - The `source` value corresponding to the identified timestamp ("float"). - The earliest bar's timestamp that is closest to `timeOffset` milliseconds before the current bar's opening time ("int"). - The current bar's `source` value ("float"). method valueAtPeriodOffset(data, period)   (Overload 1 of 2) Retrieves value and time data from a `Data` object's fields at the index of the earliest timestamp closest to a calculated offset behind the current bar's opening time. The calculated offset represents the amount of time covered by the specified `period`. Callable as a method or a function.   Parameters:      data (series Data) : The `Data` object containing the collected time and value data.      period (series string) : The period string, which determines the calculated time offset. The specified argument must contain a unit and an optional multiplier (e.g., "1Y", "3M", "2W", "YTD"). Supported units are: - "Y" for years. - "M" for months. - "W" for weeks. - "D" for days. - "YTD" (Year-to-date) for the span from the start of the current bar's year in the exchange time zone. An argument with this unit cannot contain a multiplier.   Returns: ( ) A tuple containing the following data from the `Data` object: - The stored value corresponding to the identified timestamp ("float"). - The earliest saved timestamp that is closest to the calculated offset behind the bar's opening time ("int"). valueAtPeriodOffset(source, period, timeOffsetLimit, timeframeLimit)   (Overload 2 of 2) Retrieves `source` and time information for the earliest bar whose opening timestamp is closest to a calculated offset behind the current bar's opening time. The calculated offset represents the amount of time covered by the specified `period`. Any call to this function cannot execute more than once per bar or realtime tick.   Parameters:      source (series float) : The source series to analyze. The function stores each value in the series with an associated timestamp representing its corresponding bar's opening time.      period (series string) : The period string, which determines the calculated time offset. The specified argument must contain a unit and an optional multiplier (e.g., "1Y", "3M", "2W", "YTD"). Supported units are: - "Y" for years. - "M" for months. - "W" for weeks. - "D" for days. - "YTD" (Year-to-date) for the span from the start of the current bar's year in the exchange time zone. An argument with this unit cannot contain a multiplier.      timeOffsetLimit (simple int) : Optional. A time offset (range) in milliseconds. If specified, the function limits the collected data to the maximum number of bars covered by the range, with a minimum of one bar. If the call includes a non-empty `timeframeLimit` value, the function limits the data using the largest number of bars covered by the two ranges. The default is `na`.      timeframeLimit (simple string) : Optional. A valid timeframe string. If specified and not empty, the function limits the collected data to the maximum number of bars covered by the timeframe, with a minimum of one bar. If the call includes a non-na `timeOffsetLimit` value, the function limits the data using the largest number of bars covered by the two ranges. The default is `na`.   Returns: ( ) A tuple containing the following data: - The `source` value corresponding to the identified timestamp ("float"). - The earliest bar's timestamp that is closest to the calculated offset behind the current bar's opening time ("int"). - The current bar's `source` value ("float"). getDataAtTimes(timestamps, source, timeOffsetLimit, timeframeLimit)   Retrieves `source` and time information for each bar whose opening timestamp is the earliest one closest to one of the UNIX timestamps specified in the `timestamps` array. Any call to this function cannot execute more than once per bar or realtime tick.   Parameters:      timestamps (array) : An array of "int" values representing UNIX timestamps. The function retrieves `source` and time data for each element in this array.      source (series float) : The source series to analyze. The function stores each value in the series with an associated timestamp representing its corresponding bar's opening time.      timeOffsetLimit (simple int) : Optional. A time offset (range) in milliseconds. If specified, the function limits the collected data to the maximum number of bars covered by the range, with a minimum of one bar. If the call includes a non-empty `timeframeLimit` value, the function limits the data using the largest number of bars covered by the two ranges. The default is `na`.      timeframeLimit (simple string) : Optional. A valid timeframe string. If specified and not empty, the function limits the collected data to the maximum number of bars covered by the timeframe, with a minimum of one bar. If the call includes a non-na `timeOffsetLimit` value, the function limits the data using the largest number of bars covered by the two ranges. The default is `na`.   Returns: ( ) A tuple of the following data: - An array containing a `source` value for each identified timestamp (array). - An array containing an identified timestamp for each item in the `timestamps` array (array). - The current bar's `source` value ("float"). - The symbol's description from `syminfo.description` ("string"). getDataAtTimeOffsets(timeOffsets, source, timeOffsetLimit, timeframeLimit)   Retrieves `source` and time information for each bar whose opening timestamp is the earliest one closest to one of the time offsets specified in the `timeOffsets` array. Each offset in the array represents the absolute number of milliseconds behind the current bar's opening time. Any call to this function cannot execute more than once per bar or realtime tick.   Parameters:      timeOffsets (array) : An array of "int" values representing the millisecond time offsets used in the search. The function retrieves `source` and time data for each element in this array. For example, the array ` ` specifies that the function returns data for the timestamps closest to one day and one week behind the current bar's opening time.      source (float) : (series float) The source series to analyze. The function stores each value in the series with an associated timestamp representing its corresponding bar's opening time.      timeOffsetLimit (simple int) : Optional. A time offset (range) in milliseconds. If specified, the function limits the collected data to the maximum number of bars covered by the range, with a minimum of one bar. If the call includes a non-empty `timeframeLimit` value, the function limits the data using the largest number of bars covered by the two ranges. The default is `na`.      timeframeLimit (simple string) : Optional. A valid timeframe string. If specified and not empty, the function limits the collected data to the maximum number of bars covered by the timeframe, with a minimum of one bar. If the call includes a non-na `timeOffsetLimit` value, the function limits the data using the largest number of bars covered by the two ranges. The default is `na`.   Returns: ( ) A tuple of the following data: - An array containing a `source` value for each identified timestamp (array). - An array containing an identified timestamp for each offset specified in the `timeOffsets` array (array). - The current bar's `source` value ("float"). - The symbol's description from `syminfo.description` ("string"). getDataAtPeriodOffsets(periods, source, timeOffsetLimit, timeframeLimit)   Retrieves `source` and time information for each bar whose opening timestamp is the earliest one closest to a calculated offset behind the current bar's opening time. Each calculated offset represents the amount of time covered by a period specified in the `periods` array. Any call to this function cannot execute more than once per bar or realtime tick.   Parameters:      periods (array) : An array of period strings, which determines the time offsets used in the search. The function retrieves `source` and time data for each element in this array. For example, the array ` ` specifies that the function returns data for the timestamps closest to one day, week, and month behind the current bar's opening time. Each "string" in the array must contain a unit and an optional multiplier. Supported units are: - "Y" for years. - "M" for months. - "W" for weeks. - "D" for days. - "YTD" (Year-to-date) for the span from the start of the current bar's year in the exchange time zone. An argument with this unit cannot contain a multiplier.      source (float) : (series float) The source series to analyze. The function stores each value in the series with an associated timestamp representing its corresponding bar's opening time.      timeOffsetLimit (simple int) : Optional. A time offset (range) in milliseconds. If specified, the function limits the collected data to the maximum number of bars covered by the range, with a minimum of one bar. If the call includes a non-empty `timeframeLimit` value, the function limits the data using the largest number of bars covered by the two ranges. The default is `na`.      timeframeLimit (simple string) : Optional. A valid timeframe string. If specified and not empty, the function limits the collected data to the maximum number of bars covered by the timeframe, with a minimum of one bar. If the call includes a non-na `timeOffsetLimit` value, the function limits the data using the largest number of bars covered by the two ranges. The default is `na`.   Returns: ( ) A tuple of the following data: - An array containing a `source` value for each identified timestamp (array). - An array containing an identified timestamp for each period specified in the `periods` array (array). - The current bar's `source` value ("float"). - The symbol's description from `syminfo.description` ("string").
Pine Script®腳本庫
由TradingView提供
1
AllDay Session TimesIndicator: Custom Session Times This indicator is designed to assist traders by visualizing specific trading session times on the TradingView platform. It highlights two important trading sessions: the Day Session and the Evening Session, providing a visual aid that helps traders navigate the markets with greater accuracy. Day Session Time Range: Starts: 10:55 UTC+2 Ends: 13:30 UTC+2 Evening Session Time Range: Starts: 16:55 UTC+2 Ends: 18:30 UTC+2 How It Works: Colors and Backgrounds: This indicator uses background colors to differentiate the sessions. The green background appears during the Day Session, while the blue background indicates the Evening Session. Lines: Session time ranges are also marked with clear lines on the chart, making it easier to identify the specific session periods. Time Zone: The time zone is set to UTC+2 (Europe/Helsinki), but it can easily be adjusted to match your local time zone. Why Use This Indicator? This indicator is especially useful for traders who focus on specific market sessions. For example: The Day Session might be when the market is more active, and trends are clearer. The Evening Session could be a good time to observe market adjustments based on the events of the day and find potential trading opportunities. By visualizing these specific time frames, the indicator helps reduce distractions and enables a more focused approach to trading. Use Cases: This indicator is ideal for: Day traders and swing traders who want to focus on certain market sessions. Technical analysts who prefer to visualize market behavior within specific time frames. Strategy optimization and a more precise assessment of market conditions. Features: Visual session markers that help traders focus on key trading periods. Easy customization of time zone and session time ranges. Background colors and lines that improve chart readability and session tracking. Made By AllDayEsa
Pine Script®指標
由esa_takamaki提供