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taLibrary "ta" █  OVERVIEW This library holds technical ​analysis functions calculating values for which no Pine built-in exists. Look first. Then leap. █  FUNCTIONS cagr(entryTime, entryPrice, exitTime, exitPrice) It calculates the "Compound Annual Growth Rate" between two points in time. The ​CAGR is a notional, annualized growth rate that assumes all profits are reinvested. It only takes into account the prices of the two end points — not drawdowns, so it does not calculate risk. It can be used as a yardstick to compare the performance of two instruments. Because it annualizes values, the function requires a minimum of one day between the two end points (annualizing returns over smaller periods of times doesn't produce very meaningful figures).   Parameters:      entryTime : The starting timestamp.      entryPrice : The starting point's price.      exitTime : The ending timestamp.      exitPrice : The ending point's price.   Returns: ​CAGR in % (50 is 50%). Returns `na` if there is not >=1D between `entryTime` and `exitTime`, or until the two time points have not been reached by the script. █  v2, Mar. 8, 2022 Added functions `allTimeHigh()` and `allTimeLow()` to find the highest or lowest value of a source from the first historical bar to the current bar. These functions will not look ahead; they will only return new highs/lows on the bar where they occur. allTimeHigh(​src) Tracks the highest value of `src` from the first historical bar to the current bar.   Parameters:      src : (series int/float) Series to track. Optional. The default is `high`.   Returns: (float) The highest value tracked. allTimeLow(​src) Tracks the lowest value of `src` from the first historical bar to the current bar.   Parameters:      src : (series int/float) Series to track. Optional. The default is `low`.   Returns: (float) The lowest value tracked. █  v3, Sept. 27, 2022 This version includes the following new functions: aroon(length)   Calculates the values of the Aroon indicator.   Parameters:      length (simple int) : (simple int) Number of bars (length).   Returns: ( [float, float ]) A tuple of the Aroon-Up and Aroon-Down values. coppock(source, longLength, shortLength, smoothLength)   Calculates the value of the Coppock Curve indicator.   Parameters:      source (float) : (series int/float) Series of values to process.      longLength (simple int) : (simple int) Number of bars for the fast ROC value (length).      shortLength (simple int) : (simple int) Number of bars for the slow ROC value (length).      smoothLength (simple int) : (simple int) Number of bars for the weigted moving average value (length).   Returns: (float) The oscillator value. dema(source, length)   Calculates the value of the Double Exponential Moving Average (DEMA).   Parameters:      source (float) : (series int/float) Series of values to process.      length (simple int) : (simple int) Length for the smoothing parameter calculation.   Returns: (float) The double exponentially weighted moving average of the `source`. d​ema2(​src, length)   An alternate ​Double Exponential ​Moving Average (D​ema) function to `d​ema()`, which allows a "series float" length argument.   Parameters:      ​src : (series int/float) Series of values to process.      length : (series int/float) Length for the smoothing parameter calculation.   Returns: (float) The double exponentially ​weighted moving average of the `​src`. dm(length)   Calculates the value of the "Demarker" indicator.   Parameters:      length (simple int) : (simple int) Number of bars (length).   Returns: (float) The oscillator value. donchian(length)   Calculates the values of a Donchian Channel using `high` and `low` over a given `length`.   Parameters:      length (int) : (series int) Number of bars (length).   Returns: ( [float, float, float ]) A tuple containing the channel high, low, and median, respectively. ​ema2(​src, length)   An alternate ​ema function to the `ta.​ema()` built-in, which allows a "series float" length argument.   Parameters:      ​src : (series int/float) Series of values to process.      length : (series int/float) Number of bars (length).   Returns: (float) The exponentially ​weighted moving average of the `​src`. eom(length, div)   Calculates the value of the Ease of Movement indicator.   Parameters:      length (simple int) : (simple int) Number of bars (length).      div (simple int) : (simple int) Divisor used for normalzing values. Optional. The default is 10000.   Returns: (float) The oscillator value. frama(source, length)   The Fractal Adaptive Moving Average (FRAMA), developed by John Ehlers, is an adaptive moving average that dynamically adjusts its lookback period based on fractal geometry.   Parameters:      source (float) : (series int/float) Series of values to process.      length (int) : (series int) Number of bars (length).   Returns: (float) The fractal adaptive moving average of the `source`. ft(source, length)   Calculates the value of the Fisher Transform indicator.   Parameters:      source (float) : (series int/float) Series of values to process.      length (simple int) : (simple int) Number of bars (length).   Returns: (float) The oscillator value. ht(source)   Calculates the value of the Hilbert Transform indicator.   Parameters:      source (float) : (series int/float) Series of values to process.   Returns: (float) The oscillator value. ichimoku(conLength, baseLength, senkouLength)   Calculates values of the Ichimoku Cloud indicator, including tenkan, kijun, senkouSpan1, senkouSpan2, and chikou. NOTE: offsets forward or backward can be done using the `offset` argument in `plot()`.   Parameters:      conLength (int) : (series int) Length for the Conversion Line (Tenkan). The default is 9 periods, which returns the mid-point of the 9 period Donchian Channel.      baseLength (int) : (series int) Length for the Base Line (Kijun-sen). The default is 26 periods, which returns the mid-point of the 26 period Donchian Channel.      senkouLength (int) : (series int) Length for the Senkou Span 2 (Leading Span B). The default is 52 periods, which returns the mid-point of the 52 period Donchian Channel.   Returns: ( [float, float, float, float, float ]) A tuple of the Tenkan, Kijun, Senkou Span 1, Senkou Span 2, and Chikou Span values. NOTE: by default, the senkouSpan1 and senkouSpan2 should be plotted 26 periods in the future, and the Chikou Span plotted 26 days in the past. ift(source)   Calculates the value of the Inverse Fisher Transform indicator.   Parameters:      source (float) : (series int/float) Series of values to process.   Returns: (float) The oscillator value. kvo(fastLen, slowLen, trigLen)   Calculates the values of the Klinger Volume Oscillator.   Parameters:      fastLen (simple int) : (simple int) Length for the fast moving average smoothing parameter calculation.      slowLen (simple int) : (simple int) Length for the slow moving average smoothing parameter calculation.      trigLen (simple int) : (simple int) Length for the trigger moving average smoothing parameter calculation.   Returns: ( [float, float ]) A tuple of the KVO value, and the trigger value. pzo(length)   Calculates the value of the Price Zone Oscillator.   Parameters:      length (simple int) : (simple int) Length for the smoothing parameter calculation.   Returns: (float) The oscillator value. rms(source, length)   Calculates the Root Mean Square of the `source` over the `length`.   Parameters:      source (float) : (series int/float) Series of values to process.      length (int) : (series int) Number of bars (length).   Returns: (float) The RMS value. rwi(length)   Calculates the values of the Random Walk Index.   Parameters:      length (simple int) : (simple int) Lookback and ATR smoothing parameter length.   Returns: ( [float, float ]) A tuple of the `rwiHigh` and `rwiLow` values. stc(source, fast, slow, cycle, d1, d2)   Calculates the value of the Schaff Trend Cycle indicator.   Parameters:      source (float) : (series int/float) Series of values to process.      fast (simple int) : (simple int) Length for the MACD fast smoothing parameter calculation.      slow (simple int) : (simple int) Length for the MACD slow smoothing parameter calculation.      cycle (simple int) : (simple int) Number of bars for the Stochastic values (length).      d1 (simple int) : (simple int) Length for the initial %D smoothing parameter calculation.      d2 (simple int) : (simple int) Length for the final %D smoothing parameter calculation.   Returns: (float) The oscillator value. stochFull(periodK, smoothK, periodD)   Calculates the %K and %D values of the Full Stochastic indicator.   Parameters:      periodK (simple int) : (simple int) Number of bars for Stochastic calculation. (length).      smoothK (simple int) : (simple int) Number of bars for smoothing of the %K value (length).      periodD (simple int) : (simple int) Number of bars for smoothing of the %D value (length).   Returns: ( [float, float ]) A tuple of the slow %K and the %D moving average values. stochRsi(lengthRsi, periodK, smoothK, periodD, source)   Calculates the %K and %D values of the Stochastic RSI indicator.   Parameters:      lengthRsi (simple int) : (simple int) Length for the RSI smoothing parameter calculation.      periodK (simple int) : (simple int) Number of bars for Stochastic calculation. (length).      smoothK (simple int) : (simple int) Number of bars for smoothing of the %K value (length).      periodD (simple int) : (simple int) Number of bars for smoothing of the %D value (length).      source (float) : (series int/float) Series of values to process. Optional. The default is `close`.   Returns: ( [float, float ]) A tuple of the slow %K and the %D moving average values. supertrend(factor, atrLength, wicks)   Calculates the values of the SuperTrend indicator with the ability to take candle wicks into account, rather than only the closing price.   Parameters:      factor (float) : (series int/float) Multiplier for the ATR value.      atrLength (simple int) : (simple int) Length for the ATR smoothing parameter calculation.      wicks (simple bool) : (simple bool) Condition to determine whether to take candle wicks into account when reversing trend, or to use the close price. Optional. Default is false.   Returns: ( [float, int ]) A tuple of the superTrend value and trend direction. szo(source, length)   Calculates the value of the Sentiment Zone Oscillator.   Parameters:      source (float) : (series int/float) Series of values to process.      length (simple int) : (simple int) Length for the smoothing parameter calculation.   Returns: (float) The oscillator value. t3(source, length, vf)   Calculates the value of the Tilson Moving Average (T3).   Parameters:      source (float) : (series int/float) Series of values to process.      length (simple int) : (simple int) Length for the smoothing parameter calculation.      vf (simple float) : (simple float) Volume factor. Affects the responsiveness.   Returns: (float) The Tilson moving average of the `source`. t3Alt(source, length, vf)   An alternate Tilson Moving Average (T3) function to `t3()`, which allows a "series float" `length` argument.   Parameters:      source (float) : (series int/float) Series of values to process.      length (float) : (series int/float) Length for the smoothing parameter calculation.      vf (simple float) : (simple float) Volume factor. Affects the responsiveness.   Returns: (float) The Tilson moving average of the `source`. tema(source, length)   Calculates the value of the Triple Exponential Moving Average (TEMA).   Parameters:      source (float) : (series int/float) Series of values to process.      length (simple int) : (simple int) Length for the smoothing parameter calculation.   Returns: (float) The triple exponentially weighted moving average of the `source`. tema2(source, length)   An alternate Triple Exponential Moving Average (TEMA) function to `tema()`, which allows a "series float" `length` argument.   Parameters:      source (float) : (series int/float) Series of values to process.      length (float) : (series int/float) Length for the smoothing parameter calculation.   Returns: (float) The triple exponentially weighted moving average of the `source`. trima(source, length)   Calculates the value of the Triangular Moving Average (TRIMA).   Parameters:      source (float) : (series int/float) Series of values to process.      length (int) : (series int) Number of bars (length).   Returns: (float) The triangular moving average of the `source`. trima2(​src, length)   An alternate Triangular ​Moving Average (TRIMA) function to `trima()`, which allows a "series int" length argument.   Parameters:      ​src : (series int/float) Series of values to process.      length : (series int) Number of bars (length).   Returns: (float) The triangular moving average of the `​src`. trix(source, length, signalLength, exponential)   Calculates the values of the TRIX indicator.   Parameters:      source (float) : (series int/float) Series of values to process.      length (simple int) : (simple int) Length for the smoothing parameter calculation.      signalLength (simple int) : (simple int) Length for smoothing the signal line.      exponential (simple bool) : (simple bool) Condition to determine whether exponential or simple smoothing is used. Optional. The default is `true` (exponential smoothing).   Returns: ( [float, float, float ]) A tuple of the TRIX value, the signal value, and the histogram. uo(fastLen, midLen, slowLen)   Calculates the value of the Ultimate Oscillator.   Parameters:      fastLen (simple int) : (series int) Number of bars for the fast smoothing average (length).      midLen (simple int) : (series int) Number of bars for the middle smoothing average (length).      slowLen (simple int) : (series int) Number of bars for the slow smoothing average (length).   Returns: (float) The oscillator value. vhf(source, length)   Calculates the value of the Vertical Horizontal Filter.   Parameters:      source (float) : (series int/float) Series of values to process.      length (simple int) : (simple int) Number of bars (length).   Returns: (float) The oscillator value. vi(length)   Calculates the values of the Vortex Indicator.   Parameters:      length (simple int) : (simple int) Number of bars (length).   Returns: ( [float, float ]) A tuple of the viPlus and viMinus values. vzo(length)   Calculates the value of the Volume Zone Oscillator.   Parameters:      length (simple int) : (simple int) Length for the smoothing parameter calculation.   Returns: (float) The oscillator value. williamsFractal(period)   Detects Williams Fractals.   Parameters:      period (int) : (series int) Number of bars (length).   Returns: ( [bool, bool ]) A tuple of an up fractal and down fractal. Variables are true when detected. wpo(length)   Calculates the value of the Wave Period Oscillator.   Parameters:      length (simple int) : (simple int) Length for the smoothing parameter calculation.   Returns: (float) The oscillator value. █  v7, Nov. 2, 2023 This version includes the following new and updated functions: atr2(length)   An alternate ATR function to the `ta.atr()` built-in, which allows a "series float" `length` argument.   Parameters:      length (float) : (series int/float) Length for the smoothing parameter calculation.   Returns: (float) The ATR value. changePercent(newValue, oldValue)   Calculates the percentage difference between two distinct values.   Parameters:      newValue (float) : (series int/float) The current value.      oldValue (float) : (series int/float) The previous value.   Returns: (float) The percentage change from the `oldValue` to the `newValue`. donchian(length)   Calculates the values of a Donchian Channel using `high` and `low` over a given `length`.   Parameters:      length (int) : (series int) Number of bars (length).   Returns: ( [float, float, float ]) A tuple containing the channel high, low, and median, respectively. highestSince(cond, source)   Tracks the highest value of a series since the last occurrence of a condition.   Parameters:      cond (bool) : (series bool) A condition which, when `true`, resets the tracking of the highest `source`.      source (float) : (series int/float) Series of values to process. Optional. The default is `high`.   Returns: (float) The highest `source` value since the last time the `cond` was `true`. lowestSince(cond, source)   Tracks the lowest value of a series since the last occurrence of a condition.   Parameters:      cond (bool) : (series bool) A condition which, when `true`, resets the tracking of the lowest `source`.      source (float) : (series int/float) Series of values to process. Optional. The default is `low`.   Returns: (float) The lowest `source` value since the last time the `cond` was `true`. relativeVolume(length, anchorTimeframe, isCumulative, adjustRealtime)   Calculates the volume since the last change in the time value from the `anchorTimeframe`, the historical average volume using bars from past periods that have the same relative time offset as the current bar from the start of its period, and the ratio of these volumes. The volume values are cumulative by default, but can be adjusted to non-accumulated with the `isCumulative` parameter.   Parameters:      length (simple int) : (simple int) The number of periods to use for the historical average calculation.      anchorTimeframe (simple string) : (simple string) The anchor timeframe used in the calculation. Optional. Default is "D".      isCumulative (simple bool) : (simple bool) If `true`, the volume values will be accumulated since the start of the last `anchorTimeframe`. If `false`, values will be used without accumulation. Optional. The default is `true`.      adjustRealtime (simple bool) : (simple bool) If `true`, estimates the cumulative value on unclosed bars based on the data since the last `anchor` condition. Optional. The default is `false`.   Returns: ( [float, float, float ]) A tuple of three float values. The first element is the current volume. The second is the average of volumes at equivalent time offsets from past anchors over the specified number of periods. The third is the ratio of the current volume to the historical average volume. rma2(source, length)   An alternate RMA function to the `ta.rma()` built-in, which allows a "series float" `length` argument.   Parameters:      source (float) : (series int/float) Series of values to process.      length (float) : (series int/float) Length for the smoothing parameter calculation.   Returns: (float) The rolling moving average of the `source`. supertrend2(factor, atrLength, wicks)   An alternate SuperTrend function to `supertrend()`, which allows a "series float" `atrLength` argument.   Parameters:      factor (float) : (series int/float) Multiplier for the ATR value.      atrLength (float) : (series int/float) Length for the ATR smoothing parameter calculation.      wicks (simple bool) : (simple bool) Condition to determine whether to take candle wicks into account when reversing trend, or to use the close price. Optional. Default is `false`.   Returns: ( [float, int ]) A tuple of the superTrend value and trend direction. vStop(source, atrLength, atrFactor)   Calculates an ATR-based stop value that trails behind the `source`. Can serve as a possible stop-loss guide and trend identifier.   Parameters:      source (float) : (series int/float) Series of values that the stop trails behind.      atrLength (simple int) : (simple int) Length for the ATR smoothing parameter calculation.      atrFactor (float) : (series int/float) The multiplier of the ATR value. Affects the maximum distance between the stop and the `source` value. A value of 1 means the maximum distance is 100% of the ATR value. Optional. The default is 1.   Returns: ( [float, bool ]) A tuple of the volatility stop value and the trend direction as a "bool". vStop2(source, atrLength, atrFactor)   An alternate Volatility Stop function to `vStop()`, which allows a "series float" `atrLength` argument.   Parameters:      source (float) : (series int/float) Series of values that the stop trails behind.      atrLength (float) : (series int/float) Length for the ATR smoothing parameter calculation.      atrFactor (float) : (series int/float) The multiplier of the ATR value. Affects the maximum distance between the stop and the `source` value. A value of 1 means the maximum distance is 100% of the ATR value. Optional. The default is 1.   Returns: ( [float, bool ]) A tuple of the volatility stop value and the trend direction as a "bool". Removed Functions: allTimeHigh(src)   Tracks the highest value of `src` from the first historical bar to the current bar. allTimeLow(src)   Tracks the lowest value of `src` from the first historical bar to the current bar. trima2(src, length)   An alternate Triangular Moving Average (TRIMA) function to `trima()`, which allows a "series int" length argument.
Bibliothèque Pine Script®
par TradingView
25
My:HTF O/H/L/C█ MY Higher Time Frame Open / High / Low / Close This indicator shows one line per Higher Time Frame Price of Interest. We are interested to know whether we are currently seeing support or resistance at previous daily / weekly / monthly price of interest. Each price of interest can be displayed or hidden in the configuration. Each line has a label attached to it with the (short) label on it to help identifying what is this line. Price of interest with (short) label : Current Daily Open (CDO) Current Daily High (CDH) Current Daily Low (CDL) Previous Daily Open (PDO) Previous Daily High (PDH) Previous Daily Low (PDL) Previous Daily Close (PDC) Current Weekly Open (CWO) Current Weekly High (CWH) Current Weekly Low (CWL) Previous Weekly Open (PWO) Previous Weekly High (PWH) Previous Weekly Low (PWL) Previous Weekly Close (PWC) Current Monthly Open (CMO) Current Monthly High (CMH) Current Monthly Low (CML) Previous Monthly Open (PMO) Previous Monthly High (PMH) Previous Monthly Low (PML) Previous Monthly Close (PMC)
Indicateur Pine Script®
par Thlem
1
Volume EffectivenessI have been trying to work with volume as an indicator for quite some time, as it holds qualities as a 'leading indicator'. However, please note that any indicator which to some extent predict a future trend has its issues as it can be misleading. But, in some datasets in a selected timeframe the leading properties of volume as an indicator are useful. So this script is not too complicated. It shows a numeric which resembles the 'effectiveness of volume' in moving price. For example, if a small volume creates a large price change - the Volume Effectiveness indicator will be high and show a spike Whereas, if a large volume creates a small price change - the Volume Effectiveness indicator will be low I used 3 metrics to represent Volume Effectiveness (these are different colors on the bar chart) One price difference is the absolute(high - low) for each bar Another is the absolute(open - close) The 'open-close' is smaller than the 'high-low', so note this when viewing the bar charts The final metric depends on if the open is greater than the close or vice-versa But it considers the 'absolute(high-low)' and the difference between the open and the high (or low) and the close and the low (or high) So the final metric is the largest of the 3 metrics and is generally the most useful of the 3 however, the other 2 are displayed to provide a better understanding of what 'Volume Effectiveness' displays Note, I use absolute values so they are only positive, i.e. there are no negative values to represent a price drop within a bar So, why is this indicator useful - its because volume is a leading indicator A decreasing volume tends to suggest a price change is coming Also, when the volume within a bar is very small, its Volume Effectiveness tends to go very high That means a small trade volume creates a relatively large change in price This is ideal conditions for a big pump (or big dump - although this indicator seems to work better before pumps) A large spike in the Volume Effectiveness is commonly/sometimes preceding a big pump So watch this indicator - and if there is a big spike - evaluate other market conditions to consider getting into position Large spikes in the Volume Effectiveness can precede big price changes and therefore can provide a leading indication before a pump or dump Timeframe is important - I found on the daily timeframe this indicator did not provide sufficient lead to be useful. Similarly on the <15min timeframe the spikes were not highly correlated with pumps/dumps However, in medium timeframes (15mins, 1hour, 4hours) this indicator can be useful for predicting sizeable price changes.
Indicateur Pine Script®
par MoonFlag
7
HhLl-OscilatorSimple oscillator which checks how many highs and how many lows the price is making. Parameters are as explained below: lookback - Checks how many highs and lows it is making in these many bars. Sum of all highs and lows are taken for plotting. periods - Initial period to check high and lows multiples - Number of multiples on initial period for which highs and lows are checked colorCandles - CandleColor based on the oscillator If periods is 20 and multiples is 5 and loopback is 10 Indicator checks for last 10 bars how many highs/lows are made for 20, 40, 60, 80 and 100 periods. Sum of all highs and lows are plotted on the oscillator overlay
Indicateur Pine Script®
par Trendoscope
1
Expanded Floor PivotsHello Everyone, The Expanded Floor Pivots is introduced in the book "Secrets of a Pivot Boss: Revealing Proven Methods for Profiting in the Market " by Franklin Ochoa. He added four new levels: S4, R4, BC and TC. There are many great ideas in the book, such using these levels, following trend, time price opportunity and much more. (Thanks to @tonyjab for pushing me to read this book) The definition/formula of the levels defined in the book: r1 = 2 * pivot - Low r2 = pivot + (High - Low) r3 = r1 + (High - Low) r4 = r3 + (r2 - r1) tc = (pivot - bc) + pivot pivot = (High + Low + Close) / 3 bc = (High + Low) / 2 s1 = 2 * pivot - High s2 = pivot - (High - Low) s3 = s1 - (High - Low) s4 = s3 - (s1 - s2) The area between TC and BC is used as Pivot Channel, (blue area in the chart). you can see how it helps on identifying the trend. Options: By default the script decides Higher Time Frame but if you want you can set HTF as you wish. You can choose line style as: Solid, Circles or Cross and also you have option to show only last period or all historical levels. Enjoy!
Indicateur Pine Script®
par LonesomeTheBlue
36
Volume Profile Free Ultra SLI (100 Levels Value Area VWAP) - RRBVolume Profile Free Ultra SLI by RagingRocketBull 2019 Version 1.0 This indicator calculates Volume Profile for a given range and shows it as a histogram consisting of 100 horizontal bars. This is basically the MAX SLI version with +50 more Pinescript v4 line objects added as levels. It can also show Point of Control (POC), Developing POC, Value Area/VWAP StdDev High/Low as dynamically moving levels. Free accounts can't access Standard TradingView Volume Profile, hence this indicator. There are several versions: Free Pro, Free MAX SLI, Free Ultra SLI, Free History. This is the Free Ultra SLI version. The Differences are listed below: - Free Pro: 25 levels, +Developing POC, Value Area/VWAP High/Low Levels, Above/Below Area Dimming - Free MAX SLI: 50 levels, 2x SLI modes for Buy/Sell or even higher res 150 levels - Free Ultra SLI: 100 levels, packed to the limit, 2x SLI modes for Buy/Sell or even higher res 300 levels - Free History: auto highest/lowest, historic poc/va levels for each session Features: - High-Res Volume Profile with up to 100 levels (line implementation) - 2x SLI modes for even higher res: 300 levels with 3x vertical SLI, 100 buy/sell levels with 2x horiz SLI - Calculate Volume Profile on full history - POC, Developing POC Levels - Buy/Sell/Total volume modes - Side Cover - Value Area, VAH/VAL dynamic levels - VWAP High/Low dynamic levels with Source, Length, StdDev as params - Show/Hide all levels - Dim Non Value Area Zones - Custom Range with Highlighting - 3 Anchor points for Volume Profile - Flip Levels Horizontally - Adjustable width, offset and spacing of levels - Custom Color for POC/VA/VWAP levels, Transparency for buy/sell levels WARNING: - Compilation Time: 1 min 20 sec Usage: - specify max_level/min_level/spacing (required) - select range (start_bar, range length), confirm with range highlighting - select volume type: Buy/Sell/Total - select mode Value Area/VWAP to show corresponding levels - flip/select anchor point to position the buy/sell levels - use Horiz Buy/Sell SLI mode with 100 or Vertical SLI with 300 levels if needed - use POC/Developing POC/VA/VWAP High/Low as S/R levels. Usually daily values from 1-3 days back are used as levels for the current day. SLI: use SLI modes to extend the functionality of the indicator: - Horiz Buy/Sell 2x SLI lets you view 100 Buy/Sell Levels at the same time - Vertical Max_Vol 3x SLI lets you increase the resolution to 300 levels - you need at least 2 instances of the indicator attached to the same chart for SLI to work 1) Enable Horiz SLI: - attach 2 indicator instances to the chart - make sure all instances have the same min_level/max_level/range/spacing settings - select volume type for each instance: you can have a buy/sell or buy/total or sell/total SLI. Make sure your buy volume instance is the last attached to be displayed on top of sell/total instances without overlapping. - set buy_sell_sli_mode to true for indicator instances with volume_type = buy/sell, for type total this is optional. - this basically tells the script to calculate % lengths based on total volume instead of individual buy/sell volumes and use ext offset for sell levels - Sell Offset is calculated relative to Buy Offset to stack/extend sell after buy. Buy Offset = Zero - Buy Length. Sell Offset = Buy Offset - Sell Length = Zero - Buy Length - Sell Length - there are no master/slave instances in this mode, all indicators are equal, poc/va levels are not affected and can work independently, i.e. one instance can show va levels, another - vwap. 2) Enable Vertical SLI: - attach the first instance and evaluate the full range to roughly determine where is the highest max_vol/poc level i.e. 0..20000, poc is in the bottom half (third, middle etc) or - add more instances and split the full vertical range between them, i.e. set min_level/max_level of each corresponding instance to 0..10000, 10000..20000 etc - make sure all instances have the same range/spacing settings - an instance with a subrange containing the poc level of the full range is now your master instance (bottom half). All other instances are slaves, their levels will be calculated based on the max_vol/poc of the master instance instead of local values - set show_max_vol_sli to true for the master instance. for slave instances this is optional and can be used to check if master/slave max_vol values match and slave can read the master's value. This simply plots the max_vol value - you can also attach all instances and set show_max_vol_sli to true in all of them - the instance with the largest max_vol should become the master Auto/Manual Ext Max_Vol Modes: - for auto vertical max_vol SLI mode set max_vol_sli_src in all slave instances to the max_vol of the master indicator: "VolumeProfileFree_MAX_RRB: Max Volume for Vertical SLI Mode". It can be tricky with 2+ instances - in case auto SLI mode doesn't work - assign max_vol_sli_ext in all slave instances the max_vol value of the master indicator manually and repeat on each change - manual override max_vol_sli_ext has higher priority than auto max_vol_sli_src when both values are assigned, when they are 0 and close respectively - SLI is disabled - master/slave max_vol values must match on each bar at all times to maintain proper level scale, otherwise slave's levels will look larger than they should relative to the master's levels. - Max_vol (red) is the last param in the long list of indicator outputs - the only true max_vol/poc in this SLI mode is the master's max_vol/poc. All poc/va levels in slaves will be irrelevant and are disabled automatically. Slaves can only show VWAP levels. - VA Levels of the master instance in this SLI mode are calculated based on the subrange, not the whole range and may be inaccurate. Cross check with the full range. WARNING! - auto mode max_vol_sli_src is experimental and may not work as expected - you can only assign auto mode max_vol_sli_src = max_vol once due to some bug with unhandled exception/buffer overflow in Tradingview. Seems that you can clear the value only by removing the indicator instance - sometimes you may see a "study in error state" error when attempting to set it back to close. Remove indicator/Reload chart and start from scratch - volume profile may not finish to redraw and freeze in an ugly shape after an UI parameter change when max_vol_sli_src is assigned a max_vol value. Assign it to close - VP should redraw properly, but it may not clear the assigned max_vol value - you can't seem to be able to assign a proper auto max_vol value to the 3rd slave instance - 2x Vertical SLI works and tested in both auto/manual, 3x SLI - only manual seems to work (you can have a mixed mode: 2nd instance - auto, 3rd - manual) Notes: - This code uses Pinescript v3 compatibility framework - This code is 20x-30x faster (main for cycle is removed) especially on lower tfs with long history - only 4-5 sec load/redraw time vs 30-60 sec of the old Pro versions - Instead of repeatedly calculating the total sum of volumes for the whole range on each bar, vol sums are now increased on each bar and passed to the next in the range making it a per range vs per bar calculation that reduces time dramatically - 100 levels consist of 50 main plot levels and 50 line objects used as alternate levels, differences are: - line objects are always shown on top of other objects, such as plot levels, zero line and side cover, it's not possible to cover/move them below. - all line objects have variable lengths, use actual x,y coords and don't need side cover, while all plot levels have a fixed length of 100 bars, use offset and require cover. - all key properties of line objects, such as x,y coords, color can be modified, objects can be moved/deleted, while this is not possible for static plot levels. - large width values cause line objects to expand only up/down from center while their length remains the same and stays within the level's start/end points similar to an area style. - large width values make plot levels expand in all directions (both h/v), beyond level start/end points, sometimes overlapping zero line, making them an inaccurate % length representation, as opposed to line objects/plot levels with area style. - large width values translate into different widths on screen for line objects and plot levels. - you can't compensate for this unwanted horiz width expansion of plot levels because width uses its own units, that don't translate into bars/pixels. - line objects are visible only when num_levels > 50, plot levels are used otherwise - Since line objects are lines, plot levels also use style line because other style implementations will break the symmetry/spacing between levels. - if you don't see a volume profile check range settings: min_level/max_level and spacing, set spacing to 0 (or adjust accordingly based on the symbol's precision, i.e. 0.00001) - you can view either of Buy/Sell/Total volumes, but you can't display Buy/Sell levels at the same time using a single instance (this would 2x reduce the number of levels). Use 2 indicator instances in horiz buy/sell sli mode for that. - Volume Profile/Value Area are calculated for a given range and updated on each bar. Each level has a fixed length. Offsets control visible level parts. Side Cover hides the invisible parts. - Custom Color for POC/VA/VWAP levels - UI Style color/transparency can only change shape's color and doesn't affect textcolor, hence this additional option - Custom Width - UI Style supports only width <= 4, hence this additional option - POC is visible in both modes. In VWAP mode Developing POC becomes VWAP, VA High and Low => VWAP High and Low correspondingly to minimize the number of plot outputs - You can't change buy/sell level colors from input (only transparency) - this requires 2x plot outputs => 2x reduces the number of levels to fit the max 64 limit. That's why 2 additional plots are used to dim the non Value Area zones - You can change level transparency of line objects. Due to Pinescript limitations, only discrete values are supported. - Inverse transp correlation creates the necessary illusion of "covered" line objects, although they are shown on top of the cover all the time - If custom lines_transp is set the illusion will break because transp range can't be skewed easily (i.e. transp 0..100 is always mapped to 100..0 and can't be mapped to 50..0) - transparency can applied to lines dynamically but nva top zone can't be completely removed because plot/mixed type of levels are still used when num_levels < 50 and require cover - transparency can't be applied to plot levels dynamically from script this can be done only once from UI, and you can't change plot color for the past length bars - All buy/sell volume lengths are calculated as % of a fixed base width = 100 bars (100%). You can't set show_last from input to change it - Range selection/Anchoring is not accurate on charts with time gaps since you can only anchor from a point in the future and measure distance in time periods, not actual bars, and there's no way of knowing the number of future gaps in advance. - Adjust Width for Log Scale mode now also works on high precision charts with small prices (i.e. 0.00001) - in Adjust Width for Log Scale mode Level1 width extremes can be capped using max deviation (when level1 = 0, shift = 0 width becomes infinite) - There's no such thing as buy/sell volume, there's just volume, but for the purposes of the Volume Profile method, assume: bull candle = buy volume, bear candle = sell volume P.S. I am your grandfather, Luke! Now, join the Dark Side in your father's steps or be destroyed! Once more the Sith will rule the Galaxy, and we shall have peace...
Indicateur Pine Script®
par RagingRocketBull
113
CME Gap Tracker [captainua]CME Gap Tracker - Advanced Gap Detection & Tracking System Overview This indicator provides comprehensive gap detection and tracking capabilities for both consecutive bar gaps and weekly CME trading session gaps. It automatically detects gaps, tracks their fill progress in real-time, provides detailed statistics, and includes backtesting features to validate gap trading strategies. The script is optimized for CME futures trading but works with any instrument, automatically handling ticker conversion between CME futures and spot markets. Gap Detection Types Consecutive Bar Gaps: Detects gaps between any two consecutive bars on the current timeframe. Two detection modes are available: - High/Low Mode: Detects gaps when current bar's low > previous bar's high (gap up) or current bar's high < previous bar's low (gap down). This is more sensitive and detects more gaps. - Close/Open Mode: Detects gaps when current bar's open > previous bar's close (gap up) or current bar's open < previous bar's close (gap down). This is more conservative. Weekly CME Gaps: Detects gaps between weekly trading sessions, specifically designed for CME futures markets. The script automatically detects the first bar of each new week and compares the current week's open with the previous week's close/high/low. This is particularly useful for tracking weekend gaps in CME futures markets where price can gap significantly between Friday close and Monday open. Smart Ticker Detection The script automatically converts between CME futures tickers (e.g., BTC1!, ETH1!) and spot tickers (e.g., BTCUSDT, ETHUSDT). When viewing a CME futures chart, it can automatically detect and use the corresponding spot ticker for gap analysis, and vice versa. This allows traders to: - View CME futures but track spot market gaps - View spot markets but track CME futures gaps - Manually override with custom ticker specification The ticker validation system uses caching to prevent race conditions during initial script load, ensuring reliable ticker resolution. Gap Filtering & Tolerance Static Tolerance: Set minimum and maximum gap sizes as percentages (default: show only gaps > 0.333% and < 100%). This filters out noise and focuses on significant gaps. Dynamic Tolerance: When enabled, tolerance is calculated dynamically based on ATR (Average True Range). The formula: Dynamic Tolerance = (ATR × ATR Multiplier / Close Price) × 100%. This adapts to market volatility - in volatile markets, only larger gaps are shown; in calm markets, smaller gaps are displayed. This is particularly useful for instruments with varying volatility. Absolute Size Filtering: In addition to percentage filtering, gaps can be filtered by absolute price size (e.g., show only gaps > $100). This is useful for instruments where percentage alone doesn't capture significance (e.g., high-priced stocks). Fill Confirmation System To reduce false gap closure signals, the script requires multiple consecutive bars to confirm gap closure. The default is 2 bars, but can be adjusted from 1-10 bars. Lower values (1) confirm faster but may produce false signals from temporary wicks. Higher values (3-5) reduce false fill signals but delay confirmation. This prevents temporary price spikes from triggering false gap closure alerts. Gap Fill Tracking The script tracks gap fill progress in real-time: - Fill Percentage: How much of the gap has been filled (0-100%) - Fill Speed: Whether fill is accelerating, decelerating, or constant - Time to Fill: For closed gaps, how many bars it took to fill - Fill Status: Unfilled, partially filled, or fully filled Visual Features Heatmap Colors: Gap colors can be adjusted based on gap size, with larger gaps appearing more intense and smaller gaps more faded. Adaptive Line Width: Line thickness automatically adjusts based on gap size, making larger gaps more prominent. Age-Based Coloring: Gaps can be color-coded by age, with newer gaps appearing brighter and older gaps more faded. Confluence Zones: Areas where multiple gaps overlap are highlighted with enhanced visuals, indicating stronger support/resistance zones. Gap Statistics A comprehensive statistics table provides: - Total gaps created, open, and closed - Fill rates by direction (up vs down) and size category (small, medium, large) - Average fill time, fastest fill, slowest fill - Oldest gap and oldest unfilled gap - Backtesting results: success rate, reversal rate, average move after fill - CME gap expiration statistics: Gaps expired unfilled (for Weekly CME gaps only) Statistics can be filtered by period (All Time, Last 100/500/1000/5000 bars) and can be reset via toggle button. Backtesting When enabled, the script tracks price movement after gap fills: - Price after fill: Captures price when gap closes - Move after fill: Percentage price movement after closure - Success/Reversal tracking: Determines if price continued in fill direction or reversed - Success rate: Percentage of gaps where price continued in fill direction This data helps validate gap trading strategies and understand gap fill behavior. Gap Re-opening Detection When enabled, the script detects when a previously filled gap reopens (price gaps back through the filled gap zone). This is useful for identifying when support/resistance levels break and can signal trend reversals. CME-Specific Features Monday Opening Volume Analysis: For Weekly CME gaps detected on Monday openings, the script tracks Monday opening volume relative to average volume. Higher Monday volume ratios indicate stronger gap significance. This ratio is integrated into gap strength calculations and can be displayed in gap labels. Gaps with Monday volume > 1.5x average receive priority score boosts. CME Gap Expiration Tracking: Weekly CME gaps that remain unfilled beyond a configurable threshold (default 1000 bars) are automatically marked as "expired" and tracked separately in statistics. This helps identify gaps that act as strong support/resistance levels and never fill. Expired gaps are displayed with special labeling and counted in the "Gaps Expired (CME)" statistic. CME Gap Priority Scoring Enhancement: The priority scoring system includes special boosts for CME gaps: - Monday gaps: +10 points (gaps detected on Monday openings) - High Monday volume gaps: +15 points (Monday volume ratio > 1.5x average) - Gaps at key weekly levels: +10 points (gaps aligning with previous week's high, low, or close within 0.5% tolerance) These enhancements help prioritize the most significant CME gaps for trading decisions. Custom Gap Zones Traders can manually mark custom gap zones by specifying top and bottom levels. These zones are tracked like automatically detected gaps, allowing traders to: - Mark historical gaps that weren't detected - Create support/resistance zones based on other analysis - Track specific price levels of interest Multi-Timeframe Support The script can detect gaps on higher timeframes simultaneously. For example, when viewing a 1-hour chart, it can also detect and display gaps from the weekly timeframe. This provides multi-timeframe context for gap analysis. Alert System Comprehensive alert system with multiple trigger types: - Gap Creation: Alert when new gaps are detected - Gap Closure: Alert when gaps are fully filled - Partial Fill: Alert when gaps reach specific fill percentages (e.g., 25%, 50%, 75%, 90%) - Approaching Closure: Alert when gaps reach high fill levels (e.g., 90%, 95%) before closing - Gap Re-opening: Alert when previously filled gaps reopen Alerts can be filtered to trigger only on Mondays (useful for CME weekly gaps) or any day. Filtering Options Gaps can be filtered by: - Fill Status: Show all, unfilled only, partially filled only, or fully filled only - Fill Percentage Range: Show gaps within specific fill percentage ranges - Gap Age: Show only gaps within specific age ranges (bars) - Gap Expiration: Automatically remove gaps older than specified number of bars (for Weekly CME gaps, uses separate CME expiration threshold) Performance & Safety The script includes several safety features: - Safe array operations to prevent index out-of-bounds errors - Memory leak prevention through proper visual object cleanup - Ticker validation caching to prevent race conditions - Week boundary detection for accurate CME gap identification - Fill confirmation system to reduce false signals - Monday opening volume analysis for CME gap strength assessment - CME gap expiration tracking with configurable thresholds - Priority scoring enhancement for Monday gaps, high Monday volume, and key weekly levels Usage Recommendations For CME Weekly Gaps: 1. Set "Gap Detection Type" to "Weekly CME" 2. View a CME futures chart (e.g., BTC1!) or enable auto-detect spot ticker 3. Set tolerance to filter gap size (default 0.333%) 4. Enable statistics to track fill rates 5. Configure alerts for gap creation/closure For Consecutive Bar Gaps: 1. Set "Gap Detection Type" to "Consecutive Bars" 2. Choose "High/Low" for more gaps or "Close/Open" for fewer gaps 3. Adjust tolerance based on instrument volatility 4. Enable fill confirmation (2-3 bars) for more reliable signals 5. Use filtering to focus on specific gap types For Gap Trading Strategies: 1. Enable backtesting to validate strategy performance 2. Review statistics to understand gap fill patterns 3. Use confluence zones to identify strong support/resistance 4. Configure alerts for gap events matching your strategy 5. Use custom zones to mark important levels Technical Details: • Pine Script v6 | Overlay indicator • Safe array operations with index validation • Memory leak prevention through proper object cleanup • Ticker validation caching for reliable ticker resolution • Works on all timeframes and instruments • Comprehensive edge case handling • Week boundary detection using ta.change(weekofyear) • Fill confirmation system with configurable bars For detailed documentation and usage instructions, see the script comments.
Indicateur Pine Script®
par captain_ua
Ultimate Lines Statistical Backtest @MaxMaseratiUltimate lines (MAs/MACD/VWAP,DWA etc..) Statistical Backtest This is a comprehensive statistical backtesting tool that allows traders to objectively measure the performance of 27+ different trading lines across multiple timeframes and sessions. Instead of guessing which moving averages, VWAPs, or volume levels actually work for your trading style, this indicator provides hard data showing exactly how price behaves around each line at specific times of day. The indicator solves a critical problem: most lines create whipsaws in choppy markets, but knowing which lines have the highest continuation rates vs reversal rates at specific session times helps you avoid false signals and focus on setups with proven statistical edges. 🎯 LINES YOU CAN TEST MMM Core Lines: Mid MA: Trend velocity tracker using simple moving average MMPD Line: Premium/Discount change-of-direction indicator Fair Value Golden Ratio: 0.618 equilibrium level between premium and discount zones Volume-Based Lines: VWAP Daily/Weekly: Volume-weighted average price (daily and weekly sessions) Volume POC Multi-TF: Multi-timeframe Point of Control (highest volume price level) Volume POC Weekly: Weekly momentum pivot based on volume distribution Range Midpoints: Range Midpoint 50: 50-period high/low midpoint Range Midpoint 14 TF1/TF2: Configurable timeframe range midpoints with smoothing options Moving Averages (10 MA Types): MACD Fast (12) / Signal (26): Standard MACD moving averages Fast MA 20 / Mid MA 50 / Slow MA 200: Classic trend-following averages Available MA Types: SMA, EMA, WMA, HMA, DEMA, TEMA, LSMA, KAMA, ALMA, VWMA Volatility Indicators: MVM Upper/Lower Bands: Momentum-based volatility bands with adaptive option HVC Bullish/Bearish: High Volume Candle support/resistance levels Ultimate Suite Advanced Lines: DWAP (Delta Weighted Average Price): Directional volume-weighted price with upper/lower bands HVN (High Volume Node): High-frequency trading node detection Hybrid Line: Volume-weighted momentum composite Trend Filter: Two-pole smoothing filter for trend clarity STL Lines: iBuSTL / iBeSTL: Internal Bullish/Bearish Structural Trend Liquidity levels ⚙️ HOW TO TEST Select Lines: Check the boxes for lines you want to analyze (Mid MA, VWAP Daily, Volume POC, etc.) Choose Times: Enable tracking for specific session times (default: 8:30 AM, 9:30 AM, 10:00 AM, Daily Close - EST) Set Lookback: Choose how many days of historical data to analyze (default: 60 days) Enable Pattern Analysis: Turn on "Enable Pattern Analysis" in settings Wait for Data: The indicator needs 20 bars after each signal time to complete analysis Review Statistics: Check the statistics table for detailed breakdowns 📈 STATISTICS EXPLAINED For Each Tracked Time, You'll See: 🟢 Above Selected Lines (X samples): Continued↑: Price stayed above the lines = bullish continuation Reversed↓: Price broke below the lines = reversal/rejection →Kept Going↓: After reversing down, price continued lower (bars 11-20) →Stalled: After reversing down, price came back up (consolidation) Neutral: Price didn't make a clear move either way 🔴 Below Selected Lines (X samples): Continued↓: Price stayed below the lines = bearish continuation Reversed↑: Price broke above the lines = reversal/support bounce →Kept Going↑: After reversing up, price continued higher (bars 11-20) →Stalled: After reversing up, price came back down (consolidation) Neutral: No clear directional move ⭐ Star Ratings: Show which outcome happens most frequently (best probability) 🔬 HYBRID DETECTION SYSTEM (ADVANCED) When enabled, the indicator uses a multi-signal composite scoring system that goes beyond simple percentage movements: Signal A - % Movement Direction (40% weight): Measures the strength and direction of price movement. Strong directional moves (>0.8%) score higher, while opposite-direction moves score negatively. Signal B - Inside Candles (30% weight): Detects true consolidation by counting how many candles close within a defined range. High inside-candle counts indicate choppy, stalled price action rather than clean continuation. Signal C - Successive Closes (30% weight): Tracks momentum persistence by counting consecutive closes in the expected direction. Long streaks (6+ bars) indicate strong follow-through, while breaks in the sequence suggest weakness. Composite Score Classification: ⭐⭐⭐ Strong (75-100 points): All three signals align - high-confidence pattern ⭐⭐ Moderate (50-75 points): Two signals agree - reliable pattern ⭐ Weak (25-50 points): Mixed signals - lower confidence ⚠️ Strong Stalled (0-25 points): Signals show consolidation/reversal This provides nuanced pattern detection that identifies not just IF a pattern succeeded, but HOW STRONGLY it performed. 💡 INTERPRETING RESULTS Good Lines Show: High continuation % when price is above/below (>60% is strong) Clean "Kept Going" patterns after reversals (>50% indicates reliable rejection) Low stalled % (less whipsaw/consolidation) Consistent patterns across multiple times (validates the line's reliability) Poor Lines Show: 50/50 continuation vs reversal (coin flip = no edge) High stalled % (lots of whipsaw/false signals) Inconsistent patterns across different times (unreliable) Example Interpretation: 9:30 AM - VWAP Daily (120 samples) 🟢 Above: Continued↑ 75 (62.5%) ⭐ BEST Reversed↓ 30 (25.0%) Meaning: When price is above VWAP Daily at 9:30 AM, it continues higher 62.5% of the time - this is a statistically strong bullish signal for that session time. 🎯 PRACTICAL VALUE Solves the Whipsaw Problem: Most moving averages and lines work beautifully in trending markets but create endless false signals in choppy, range-bound conditions. By analyzing specific session times and continuation vs reversal patterns, you can: Identify high-probability setups: Focus on lines that show >60% continuation at your preferred trading times Avoid weak signals: Skip lines with high stall rates or 50/50 outcomes Time your entries better: Know which session times produce the cleanest patterns Combine complementary lines: Stack multiple high-scoring lines for confluence Adapt to market conditions: Switch to different lines when market structure changes Real-World Application: Instead of blindly trading VWAP crosses or MA bounces, you'll have objective data showing: "At 9:30 AM on ES, when price is above Mid MA + VWAP Daily + Volume POC, it continues higher 68% of the time with strong momentum (⭐⭐⭐)." This transforms discretionary guesswork into data-driven decision making. ⚙️ LINE DEFINITIONS Moving Averages: Smooth price data over X periods to identify trend direction and dynamic support/resistance. VWAP: Anchored average price weighted by volume - institutional traders' benchmark for "fair value." Volume POC (Point of Control): Price level with the most traded volume - represents maximum market acceptance. Fair Value Golden Ratio: Fibonacci 0.618 level between recent premium (high) and discount (low) - equilibrium zone. DWAP (Delta Weighted): Price average weighted by buying vs selling volume delta - shows directional money flow. Range Midpoints: Geometric center of recent high/low range - mean reversion pivot. Volatility Bands: Envelope around momentum lines showing normal price deviation ranges. HVN (High Volume Node): Automated detection of high-volume price clusters - institutional accumulation/distribution zones. Note: This indicator is purely for statistical analysis and backtesting. It does not generate trade signals or provide entry/exit recommendations. Use the statistics to inform your own trading decisions and strategy development.
Indicateur Pine Script®
par MaxMaserati
Stochastic RSI (adjustable fast line color)Definition The Stochastic RSI indicator (Stoch RSI) is essentially an indicator of an indicator. It is used in technical analysis to provide a stochastic calculation to the RSI indicator. This means that it is a measure of RSI relative to its own high/low range over a user defined period of time. The Stochastic RSI is an oscillator that calculates a value between 0 and 1 which is then plotted as a line. This indicator is primarily used for identifying overbought and oversold conditions. History The Stochastic RSI (Stoch RSI) indicator was developed by Tushard Chande and Stanley Kroll. They introduced their indicator in their 1994 book The New Technical Trader. Calculation In this example, a very common 14 Period Stoch RSI is used. Stoch RSI = (RSI - Lowest Low RSI) / (Highest High RSI - Lowest Low RSI) Here are some approximate benchmark levels: 14 Day Stoch RSI = 1 when RSI is at its highest level in 14 Days. 14 Day Stoch RSI = .8 when RSI is near the high of its 14 Day high/low range. 14 Day Stoch RSI = .5 when RSI is in the middle of its 14 Day high/low range. 14 Day Stoch RSI = .2 when RSI is near the low of its 14 Day high/low range. 14 Day Stoch RSI = 0 when RSI is at its lowest level in 14 Days. The basics It is important to remember that the Stoch RSI is an indicator of an indicator making it two steps away from price. RSI is one step away from price and therefore a stochastic calculation of the RSI is two steps away. This is important because as with any indicator that is multiple steps away from price, Stoch RSI can have brief disconnects from actual price movement. That being said, as a range bound indicator, the Stoch RSI's primary function is identifying crossovers as well as overbought and oversold conditions. What to look for Overbought/Oversold Overbought and Oversold conditions are traditionally different than the RSI. While RSI overbought and oversold conditions are traditionally set at 70 for overbought and 30 for oversold, Stoch RSI are typically .80 and .20 respectively. When using the Stoch RSI, overbought and oversold work best when trading along with the underlying trend. During an uptrend, look for oversold conditions for points of entry. During a downtrend, look for overbought conditions for points of entry. Summary When using Stoch RSI in technical analysis, a trader should be careful. By adding the Stochastic calculation to RSI, speed is greatly increased. This can generate many more signals and therefore more bad signals as well as the good ones. Stoch RSI needs to be combined with additional tools or indicators in order to be at its most effective. Using trend lines or basic chart pattern analysis can help to identify major, underlying trends and increase the Stoch RSI's accuracy. Using Stoch RSI to make trades that go against the underlying trend is a dangerous proposition. Inputs K The time period to be used in calculating the %K. 3 is the default. D % D = Percent of Deviation between price and the average of previous prices (Momentum). The time period to be used in calculating the %D. 3 is the default. RSI Length The time period to be used in calculating the RSI Stochastic Length The time period to be used in calculating the Stochastic RSI Source Determines what data from each bar will be used in calculations. Close is the default.
Indicateur Pine Script®
par cpolaritz2
Order Blocks & ImbalanceThis indicator automatically identifies and plots Order Blocks (also known as Fair Value Gaps or Imbalances) based on Smart Money Concepts (SMC) and ICT methodology. It detects significant price inefficiencies (gaps between candles) that often act as institutional supply or demand zones. How It Works (Technical Methodology) 1. Fair Value Gap (FVG) Detection The indicator identifies classic 3-candle imbalances: - Bullish Order Block (Demand): When the low of the current candle is significantly below the high of the candle two bars ago (low - high ). - Bearish Order Block (Supply): When the high of the current candle is significantly above the low of the candle two bars ago (low - high ). A minimum size threshold is enforced using ATR(14) × user-defined multiplier (default 0.5) to filter out minor gaps and focus on meaningful inefficiencies. 2. Zone Creation - Bullish zones are created at the candle two bars ago (the "origin" candle where inefficiency occurred). - Bearish zones use the same origin candle. - Zone boundaries: Top = high of origin candle Bottom = low of origin candle This captures the full range where price moved aggressively, leaving an imbalance that institutions may later revisit. 3. Mitigation Detection Zones can be mitigated in two ways (user-selectable): - "Close": Zone is considered touched only if the close price enters the zone. - "Wick": Zone is touched if any wick (high/low) enters the zone (more sensitive). When mitigated: - Background becomes more transparent - Border turns dotted - Label changes to "Mitigated" Broken zones (price fully closes beyond the opposite side) are automatically deleted. 4. Zone Lifecycle Management - Active Zone: Strong color fill (green for demand, red for supply) with solid border. - Mitigated Zone: Faded color, dotted border – indicates partial fill or reduced strength. - Broken Zone: Automatically removed from chart to reduce clutter. Old zones are also pruned when exceeding 450 total to maintain performance. 5. Smart Visibility Engine (Optional) When enabled: - All zones are initially hidden. - Only the closest relevant zones are shown: - Up to user-defined limit (default 10) highest bullish zones (closest below price) - Up to user-defined limit (default 10) lowest bearish zones (closest above price) - Visible zones are automatically extended to the right and styled appropriately. This keeps the chart clean while highlighting the most actionable zones near current price. 6. Visual Elements - Demand Zones: Green fill, labeled "OB Demand" - Supply Zones: Red fill, labeled "OB Supply" - Tiny text size to minimize chart clutter - Zones drawn as boxes using bar_index positioning How to Use Order Blocks represent areas of price inefficiency where smart money likely entered/exited positions aggressively. - Demand Zones (Green): Potential long entry areas when price returns. Expect buying pressure to defend these levels. Best setups when price retests an active (non-mitigated) zone. - Supply Zones (Red): Potential short entry areas when price returns. Expect selling pressure to emerge. - Mitigated Zones: Lower probability – may act as weaker support/resistance. - Smart Visibility: Highly recommended for cleaner charts. Focuses attention on zones most likely to be tested soon. - Combine with: - Break of Structure (BOS)/Change of Character (CHOCH) - Liquidity grabs - Higher timeframe confluence - Volume or momentum confirmation Use higher FVG threshold (e.g., 0.8–1.0) for fewer, higher-quality zones. Lower threshold for more aggressive detection. Disclaimer This indicator is a technical analysis tool and should be used in conjunction with other forms of analysis. Past performance does not guarantee future results. Always use proper risk management.
Indicateur Pine Script®
par s3u1l
5
Iridescent Liquidity Prism [JOAT]Iridescent Liquidity Prism | Peer Momentum HUD A multi-layered order-flow indicator that combines microstructure analysis, smart-money footprint detection, and intermarket momentum signals. The script uses dynamic color-shifting themes to visualize liquidity patterns, structure, and peer momentum data directly on the chart. There is so much to choose from inside the settings, if you think it's a mess on the chart it's because you have to personally customize it based on your needs... Core Functionality The indicator calculates and displays several analytical layers simultaneously: Order-Flow Imbalance (OFI): Calculates buy vs. sell volume pressure using volume-weighted price distribution within each bar. Uses an EMA filter (default: 55 periods) to smooth the signal. Values are normalized using standard deviation to identify significant imbalances. Smart Money Footprints: Detects accumulation and distribution zones by comparing volume rate of change (ROC) against price ROC. When volume ROC exceeds a threshold (default: 65%) and price ROC is positive, accumulation is detected. When volume ROC is high but price ROC is negative, distribution is detected. Fractal Structure Mapping: Identifies pivot highs and lows using a fractal detection algorithm (default: 5-bar period). Maintains a rolling window of recent structure points (default: 4 levels) and draws connecting lines to show trend structure. Fair Value Gap (FVG) Detection: Automatically detects price gaps where three consecutive candles create an imbalance. Bullish FVGs occur when the current low exceeds the high two bars ago. Bearish FVGs occur when the current high is below the low two bars ago. Gaps persist for a configurable duration (default: 320 bars) and fade when price fills the gap. Liquidity Void Detection: Identifies candles where the high-low range exceeds an ATR threshold (default: 1.7x ATR) while volume is below average (default: 65% of 20-bar average). These conditions suggest areas where liquidity may be thin. Price/Volume Divergence: Uses linear regression to detect when price trend direction disagrees with volume trend direction. A divergence alert appears when price is trending up while volume is trending down, or vice versa. Peer Momentum Heatmap (PMH): Calculates composite momentum scores for up to 6 symbols across 4 timeframes. Each score combines RSI (default: 14 periods) and StochRSI (default: 14 periods, 3-bar smooth) to create a momentum composite between -1 and +1. The highest absolute momentum score across all combinations is displayed in the HUD. Custom settings using Fractal Pivots, Skeleton Structure, Pulse Liquidity Voids, Bottom Colorful HeatMaps, and Iridescent Field. --- Visual Components Spectrum Aura Glow: ATR-weighted bands (default: 0.25x ATR) that expand and contract around price action, indicating volatility conditions. The thickness adapts to market volatility. Chromatic Flow Trail: A blended line combining EMA and WMA of price (default: 8-period EMA blended with WMA at 65% ratio). The trail uses gradient colors that shift based on a phase oscillator, creating an iridescent effect. Volume Heat Projection: Creates horizontal volume profile bands at price levels (default: 14 levels). Scans recent bars (default: 150 bars) to calculate volume concentration. Each level is colored based on its volume density relative to the maximum volume level. Structure Skeleton: Dashed lines connecting fractal pivot points. Uses two layers: a primary line (2-3px width) and an optional glow overlay (4-5px width) for enhanced visibility. Fractal Markers: Diamond shapes placed at pivot high and low points. Color-coded: primary color for highs, secondary color for lows. Iridescent Color Themes: Five color themes available: Iridescent (default), Pearlescent, Prismatic, ColorShift, and Metallic. Colors shift dynamically using a phase oscillator that cycles through the color spectrum based on bar index and a speed multiplier (default: 0.35). --- HUD Console Metrics The right-side HUD displays seven key metrics: Flow: Shows OFI status: ▲ FLOW BUY when normalized OFI exceeds imbalance threshold (default: 2.2), ▼ FLOW SELL when below -2.2, or ◆ FLOW BAL when balanced. Struct: Structure trend bias: ▲ STRUCT BULL when microtrend > 2, ▼ STRUCT BEAR when < -2, or ◆ STRUCT RANGE when neutral. Smart$: Institutional activity: ◈ ACCUM when smart money index = 1, ◈ DISTRIB when = -1, or ○ IDLE when inactive. Liquid: Liquidity state: ⚡ VOID when a liquidity void is detected, or ● NORMAL otherwise. Diverg: Divergence status: ⚠ ALERT when price/volume divergence detected, or ✓ CLEAR when aligned. PMH: Peer Momentum Heatmap status: Shows dominant timeframe and momentum score. Displays 🪩 for bull surge (above 0.55 threshold) or 🧨 for bear surge (below -0.55). FVG: Fair Value Gap status: Shows active gap count or CLEAR when no gaps exist. Displays GAP LONG when bullish gap detected, GAP SHORT when bearish gap detected. Pearlscent Color with Volume Heatmap. Parameters and Settings Microstructure Engine: Analysis Depth: 20-250 bars (default: 55) - Controls OFI smoothing period Liquidity Threshold ATR: 1.0-4.0 (default: 1.7) - Multiplier for void detection Imbalance Ratio: 1.5-6.0 (default: 2.2) - Standard deviations for OFI significance Smart Money Layer: Smart Money Window: 10-150 bars (default: 24) - Period for ROC calculations Accumulation Threshold: 40-95% (default: 65%) - Volume ROC threshold Structural Mapping: Fractal Pivot Period: 3-15 bars (default: 5) - Period for pivot detection Structure Memory: 2-8 levels (default: 4) - Number of structure points to track Volume Heat Projection: Heat Map Lookback: 60-400 bars (default: 150) - Bars to analyze for volume profile Heat Map Levels: 5-30 levels (default: 14) - Number of price level bands Heat Map Opacity: 40-100% (default: 92%) - Transparency of heat map boxes Heat Map Width Limit: 6-80 bars (default: 26) - Maximum width of heat map boxes Heat Map Visibility Threshold: 0.0-0.5 (default: 0.08) - Minimum density to display Iridescent Enhancements: Visual Theme: Iridescent, Pearlescent, Prismatic, ColorShift, or Metallic Color Shift Speed: 0.05-1.00 (default: 0.35) - Speed of color phase oscillation Aura Thickness (ATR): 0.05-1.0 (default: 0.25) - Multiplier for aura band width Chromatic Trail Length: 2-50 bars (default: 8) - Period for trail calculation Trail Blend Ratio: 0.1-0.95 (default: 0.65) - EMA/WMA blend percentage FVG Persistence: 50-600 bars (default: 320) - Bars to keep FVG boxes active Max Active FVG Boxes: 10-200 (default: 40) - Maximum boxes on chart FVG Base Opacity: 20-95% (default: 80%) - Transparency of FVG boxes Peer Momentum Heatmap: Peer Symbols: Comma-separated list of up to 6 symbols (e.g., "BTCUSD,ETHUSD") Peer Timeframes: Comma-separated list of up to 4 timeframes (default: "60,240,D") PMH RSI Length: 5-50 periods (default: 14) PMH StochRSI Length: 5-50 periods (default: 14) PMH StochRSI Smooth: 1-10 periods (default: 3) Super Momentum Threshold: 0.2-0.95 (default: 0.55) - Threshold for surge detection Clarity & Readability: Liquidity Void Opacity: 5-90% (default: 30%) Smart Money Footprint Opacity: 5-90% (default: 35%) HUD Background Opacity: 40-95% (default: 70%) Iridescent Field: Field Opacity: 20-100% (default: 86%) - Background color intensity Field Smooth Length: 10-200 bars (default: 34) - Smoothing for background gradient --- Alerts The indicator provides seven alert conditions: Liquidity Void Detected - Triggers when void conditions are met Strong Order Flow - Triggers when normalized OFI exceeds imbalance ratio Smart Money Activity - Triggers when accumulation or distribution detected Price/Volume Divergence - Triggers when divergence conditions occur Structure Shift - Triggers when structure polarity changes significantly PMH Bull Surge - Triggers when PMH exceeds positive threshold (if enabled) PMH Bear Surge - Triggers when PMH exceeds negative threshold (if enabled) Bull/Bear Prismatic FVG - Triggers when new FVG is detected (if FVG display enabled) --- Usage Considerations Performance may vary on lower timeframes due to the volume heat map calculations scanning multiple bars. Consider reducing heat map lookback or levels if experiencing slowdowns. The PMH feature requires data requests to other symbols/timeframes, which may impact performance. Limit the number of peer symbols and timeframes for optimal performance. FVG boxes automatically expire after the persistence period to prevent chart clutter. The maximum box limit (default: 40) prevents excessive memory usage. Color themes affect all visual elements. Choose a theme that provides good contrast with your chart background. The indicator is designed for overlay display. All visual elements are positioned relative to price action. Structure lines are drawn dynamically as new pivots form. On fast-moving markets, structure may update frequently. Volume calculations assume typical volume data availability. Symbols without volume may show incomplete data for volume-dependent features. --- Technical Notes Built on Pine Script v6 with dynamic request capability for PMH functionality. Uses exponential moving averages (EMA) and weighted moving averages (WMA) for trail calculations to balance responsiveness and smoothness. Volume profile calculation uses price level buckets. Higher levels provide finer granularity but require more computation. Iridescent color engine uses a phase oscillator with sine wave calculations for smooth color transitions. Box management includes automatic cleanup of expired boxes to maintain performance. All visual elements use color gradients and transparency for smooth blending with price action. --- Customization Examples Intraday Scalping Setup: Analysis Depth: 30 bars Heat Map Lookback: 100 bars FVG Persistence: 150 bars PMH Window: 15 bars Fast color shift speed: 0.5+ Macro Structure Tracking: Analysis Depth: 100+ bars Heat Map Lookback: 300+ bars FVG Persistence: 500+ bars Structure Memory: 6-8 levels Slower color shift speed: 0.2 --- Limitations Volume heat map calculations may be computationally intensive on lower timeframes with high lookback values. PMH requires valid symbol names and accessible timeframes. Invalid symbols or timeframes will return no data. FVG detection requires at least 3 bars of history. Early bars may not show FVG boxes. Structure lines connect points but do not predict future structure. They reflect historical pivot relationships. Color themes are aesthetic choices and do not affect calculation logic. The indicator does not provide trading signals. All visual elements are analytical tools that require interpretation in context of market conditions. Open Source This indicator is open source and available for modification and distribution. The code is published with Pine Script v6 compliance. Users are free to customize parameters, modify calculations, and adapt the visual elements to their trading needs. For questions, suggestions, or anything please talk to me in private messages or comments below! Would love to help! - officialjackofalltrades
Indicateur Pine Script®
par officialjackofalltrades
1
Market Efficiency Ratio [Interakktive]The Market Efficiency Ratio decomposes price movement into two components: net progress vs wasted movement. This tool exposes the underlying math that most traders never see, helping you understand when price is moving efficiently versus chopping sideways. Unlike simple trend indicators, this shows you WHY price movement matters — not just whether it's up or down, but how much of that movement was useful directional progress versus noisy oscillation. █ WHAT IT DOES • Calculates Efficiency Ratio (0–1 or 0–100) measuring directional progress • Exposes Net Displacement (how far price actually moved) • Exposes Path Length (total distance price traveled) • Calculates Chop Cost (wasted movement) • Visual zones for high/mid/low efficiency states █ WHAT IT DOES NOT DO • NO signals, NO entries/exits, NO buy/sell • NO performance claims • NO predictions — purely diagnostic • This is a tool for understanding price behavior █ HOW IT WORKS The efficiency ratio answers one question: "Of all the movement price made, how much was useful progress?" 🔹 THE MATH Over a lookback period of N bars: Net Displacement = |Close - Close | Path Length = Σ |Close - Close | for all bars Efficiency Ratio = Net Displacement / Path Length 🔹 INTERPRETATION • Efficiency = 1.0 (100%): Price moved in a straight line — every tick was progress • Efficiency = 0.5 (50%): Half the movement was wasted in back-and-forth chop • Efficiency = 0.0 (0%): Price ended exactly where it started — all movement was noise 🔹 CHOP COST This is the "wasted movement" — how much price traveled without making progress: Chop Cost = Path Length - Net Displacement Chop % = Chop Cost / Path Length High chop cost means lots of effort for little result — a warning sign for trend traders. █ VISUAL GUIDE Three efficiency zones: • GREEN (≥70): High efficiency — strong directional movement • YELLOW (30-70): Mixed efficiency — some progress, some chop • RED (<30): Low efficiency — mostly noise, little progress █ INPUTS Lookback Length (default: 14) Number of bars to calculate efficiency over. Higher values produce smoother readings but respond slower to changes. Smoothing Length (default: 5) EMA smoothing applied to the output. Reduces noise in the efficiency reading. Apply Smoothing (default: true) Toggle EMA smoothing on/off. Scale Mode (default: 0–100) Display as percentage (0-100) or decimal ratio (0-1). Show Reference Bands (default: true) Display the high/low efficiency threshold lines. Low/High Efficiency Level (default: 30/70) Thresholds for classifying efficiency zones. Overlay Effect (default: None) • None: No overlay • Background Tint: Subtle chart background color in high/low zones • Bar Highlight: Color bars during low efficiency periods Show Data Window Values (default: true) Export all raw values (Net Displacement, Path Length, Efficiency, Chop Cost, Chop %) to the data window for analysis. █ USE CASES This indicator helps traders understand: • Why some trends are "clean" and others are "messy" • When price is consolidating vs trending (without using volume) • The relationship between movement and progress • Why high-chop environments are difficult to trade This is the foundational concept behind more advanced regime detection systems. █ SUITABLE MARKETS Works on: Stocks, Futures, Forex, Crypto Timeframes: All timeframes Note: This is a price-only indicator — no volume required █ DISCLAIMER This indicator is for informational and educational purposes only. It does not constitute financial advice. It does not generate trading signals. Past performance does not guarantee future results. Always conduct your own analysis.
Indicateur Pine Script®
par Interakktive
1
able FRVP Reversal# able FRVP Reversal - Complete User Guide ## 📌 Overview **able FRVP Reversal** is a professional-grade Volume Profile indicator with an integrated reversal detection system. It combines Fixed Range Volume Profile (FRVP) analysis with a confluence-based reversal scoring system to identify high-probability turning points at key volume levels. --- ## ✨ Key Features | Feature | Description | |---------|-------------| | **Session-Based Volume Profile** | Automatically resets at the beginning of each regular trading session | | **POC (Point of Control)** | Highest volume price level - strongest support/resistance | | **VAH (Value Area High)** | Upper boundary of the 70% value area - resistance zone | | **VAL (Value Area Low)** | Lower boundary of the 70% value area - support zone | | **Confluence Scoring System** | 5-point scoring system for reversal detection | | **Smart Cooldown** | Prevents signal spam with customizable cooldown period | | **Real-time Info Table** | Displays all key metrics in a retro-style dashboard | --- ## 🔧 Installation 1. Open TradingView and go to **Pine Editor** 2. Delete any existing code and paste the indicator code 3. Click **"Add to Chart"** 4. Configure settings as needed --- ## ⚙️ Settings Explained ### 📊 Volume Profile Settings | Setting | Default | Description | |---------|---------|-------------| | **Number of Rows** | 50 | Resolution of the volume profile (more rows = finer detail) | | **Value Area %** | 70 | Percentage of volume to include in Value Area (industry standard: 70%) | | **Profile Width** | 40 | Visual width of the histogram on chart | | **Show Histogram** | ✓ | Display volume histogram bars | | **Show POC/VAH/VAL** | ✓ | Display the three key levels | | **Show Labels** | ✓ | Display price labels for each level | | **Extend Lines** | ✓ | Extend levels to the right of current price | | **Extend Length** | 100 | How far to extend the lines (in bars) | ### 🔄 Reversal Detection Settings | Setting | Default | Description | |---------|---------|-------------| | **Enable Reversal Detection** | ✓ | Turn reversal signals on/off | | **Min Confluence Score** | 3 | Minimum score required to trigger signal (1-5) | | **Cooldown Bars** | 10 | Minimum bars between signals to prevent spam | #### Understanding Min Confluence Score: - **Score 1-2**: Very sensitive, many signals (not recommended) - **Score 3**: Balanced - good for most traders ⭐ Recommended - **Score 4**: Conservative - fewer but higher quality signals - **Score 5**: Very strict - only strongest reversals ### 🎨 Color Settings All colors are fully customizable: - **POC Line**: Default Gold (#FFD700) - **VAH Line**: Default Coral Red (#FF6B6B) - **VAL Line**: Default Teal (#4ECDC4) - **Bullish Reversal**: Default Green (#00E676) - **Bearish Reversal**: Default Red (#FF5252) --- ## 📖 How to Read the Indicator ### Volume Profile Histogram ``` █████████████ ← High volume = Strong S/R ████████ ← Medium volume ████ ← Low volume = Weak S/R ██ ``` - **Darker/Longer bars** = More trading activity at that price - **Inside Value Area** = Colored based on session direction (Bull/Bear) - **Outside Value Area** = Muted gray color ### Key Levels | Level | Color | Meaning | |-------|-------|---------| | **POC** | Yellow | Price with highest volume - Strongest magnet | | **VAH** | Red | Upper resistance - Look for bearish reversals | | **VAL** | Teal | Lower support - Look for bullish reversals | --- ## 🔄 Reversal Detection System ### How the Scoring System Works The indicator uses a **5-point confluence scoring system**. Each condition adds 1 point: #### 🟢 Bullish Reversal Score (at VAL) | Condition | Points | Description | |-----------|--------|-------------| | Price at VAL Zone | +1 | Price is within VAL ± 0.2 ATR | | Bullish Candle | +1 | Close > Open (green candle) | | RSI Oversold | +1 | RSI < 35 | | Rejection Wick | +1 | Lower wick > 1.5× body size | | Failed Breakdown | +1 | Touched below VAL but closed above | #### 🔴 Bearish Reversal Score (at VAH) | Condition | Points | Description | |-----------|--------|-------------| | Price at VAH Zone | +1 | Price is within VAH ± 0.2 ATR | | Bearish Candle | +1 | Close < Open (red candle) | | RSI Overbought | +1 | RSI > 65 | | Rejection Wick | +1 | Upper wick > 1.5× body size | | Failed Breakout | +1 | Touched above VAH but closed below | ### Signal Quality Ratings | Score | Rating | Meaning | |-------|--------|---------| | 5/5 | ★★★ | Excellent - Highest probability | | 4/5 | ★★ | Good - High probability | | 3/5 | ★ | Acceptable - Moderate probability | | <3 | - | No signal triggered | --- ## 📋 Info Table Explained ``` ╔═ able-REV ═╗ 15 ████████ SCR ───────────────────────────────────── ZONE UPPER VA ▒▒▓▓████ ▲ POC 4272.680 ██████·· ▲ VAH 4322.745 ████···· · VAL 4264.977 ██████·· · ═ SCORE ═════════════════════════════ BULL 0/5 ········ · BEAR 1/5 ░······· · RSI 49 ▒▒▓▓···· · ◄SIGNAL► WAIT ········ · ``` | Row | Description | |-----|-------------| | **ZONE** | Current price position relative to Value Area | | **POC/VAH/VAL** | Price levels with distance indicators | | **BULL Score** | Current bullish confluence score | | **BEAR Score** | Current bearish confluence score | | **RSI** | RSI value with OB/OS status | | **SIGNAL** | Current signal status (BUY/SELL/WAIT) | ### Zone Types | Zone | Meaning | Bias | |------|---------|------| | ABOVE VAH | Price broke above resistance | Bullish (but watch for rejection) | | ⚠ AT VAH | Price testing resistance | Watch for bearish reversal | | UPPER VA | Price in upper value area | Slight bullish bias | | LOWER VA | Price in lower value area | Slight bearish bias | | ⚠ AT VAL | Price testing support | Watch for bullish reversal | | BELOW VAL | Price broke below support | Bearish (but watch for rejection) | --- ## 📈 Trading Strategies ### Strategy 1: VAH Rejection (Bearish Reversal) **Setup:** 1. Price approaches or touches VAH (red dashed line) 2. BEAR score reaches 3+ (or your minimum setting) 3. REV signal appears above the candle **Entry:** - Enter SHORT on signal candle close - Or wait for confirmation candle **Stop Loss:** - Above the signal candle high - Or above VAH + 0.5 ATR **Take Profit:** - First target: POC (yellow line) - Second target: VAL (teal line) --- ### Strategy 2: VAL Bounce (Bullish Reversal) **Setup:** 1. Price approaches or touches VAL (teal dashed line) 2. BULL score reaches 3+ (or your minimum setting) 3. REV signal appears below the candle **Entry:** - Enter LONG on signal candle close - Or wait for confirmation candle **Stop Loss:** - Below the signal candle low - Or below VAL - 0.5 ATR **Take Profit:** - First target: POC (yellow line) - Second target: VAH (red line) --- ### Strategy 3: POC Bounce **Setup:** 1. Price pulls back to POC after trending 2. POC acts as support/resistance 3. Watch for reversal candle patterns **Entry:** - Long if bullish candle at POC from below - Short if bearish candle at POC from above **Stop Loss:** - Other side of POC ± buffer --- ## ⚠️ Important Notes ### When Signals Work Best ✅ **High Probability Setups:** - Score 4-5 with clear rejection wick - RSI confirms (oversold for long, overbought for short) - First test of VAH/VAL in the session - Clear trend before reversal ❌ **Low Probability Setups:** - Score barely meeting minimum (3/5) - Multiple tests of same level (level weakening) - Low volume/choppy market - News events pending ### Risk Management Rules 1. **Never risk more than 1-2% per trade** 2. **Always use stop loss** - place beyond the level 3. **Wait for candle close** - don't enter on wick touches 4. **Respect the cooldown** - avoid overtrading 5. **Consider the trend** - counter-trend reversals are riskier --- ## 🔔 Alerts The indicator includes built-in alerts: | Alert | Trigger | |-------|---------| | VAL Bullish Reversal | BULL score meets minimum at VAL | | VAH Bearish Reversal | BEAR score meets minimum at VAH | ### Setting Up Alerts: 1. Right-click on the chart 2. Select "Add Alert" 3. Choose "able FRVP Reversal" as condition 4. Select desired alert type 5. Configure notification method --- ## 💡 Pro Tips 1. **Combine with trend analysis** - Reversals in trend direction are more reliable 2. **Watch for confluence with other S/R** - If VAH/VAL aligns with round numbers, previous highs/lows, or fib levels, the level is stronger 3. **Volume confirmation** - Higher volume on reversal candle = stronger signal 4. **Time of day matters** - Reversals during active trading hours are more reliable 5. **Adjust sensitivity by market** - Volatile assets may need higher Min Confluence Score 6. **Use multiple timeframes** - Check if reversal level aligns with higher timeframe levels --- ## 🔧 Recommended Settings by Trading Style | Style | Min Confluence | Cooldown | Best For | |-------|----------------|----------|----------| | Scalping | 3 | 5-7 | Quick trades, more signals | | Day Trading | 3-4 | 10-15 | Balanced approach | | Swing Trading | 4-5 | 20+ | Fewer, higher quality signals | --- ## ❓ Troubleshooting | Issue | Solution | |-------|----------| | No signals appearing | Lower Min Confluence Score or check if market is ranging | | Too many signals | Increase Min Confluence Score or Cooldown Bars | | Levels not showing | Enable Show POC/VAH/VAL in settings | | Histogram too wide/narrow | Adjust Profile Width setting | --- ## 📞 Support For questions, suggestions, or bug reports, please contact the developer. --- **Version:** 1.0 **Last Updated:** 2024 **Platform:** TradingView (Pine Script v6)
Indicateur Pine Script®
par Able-terminal
11-MA Institutional System (ATR+HTF Filters)11-MA Institutional Trading System Analysis. This is a comprehensive Trading View Pine Script indicator that implements a sophisticated multi-timeframe moving average system with institutional-grade filters. Let me break down its key components and functionality: 🎯 Core Features 1. 11 Moving Average System. The indicator plots 11 customizable moving averages with different roles: MA1-MA4 (5, 8, 10, 12): Fast-moving averages for short-term trends MA5 (21 EMA): Short-term anchor - critical pivot point MA6 (34 EMA): Intermediate support/resistance MA7 (50 EMA): Medium-term bridge between short and long trends MA8-MA9 (89, 100): Transition zone indicators MA10-MA11 (150, 200): Long-term anchors for major trend identification Each MA is fully customizable: Type: SMA, EMA, WMA, TMA, RMA Color, width, and enable/disable toggle 📊 Signal Generation System Three Signal Tiers: Short-Term Signals (ST) Trigger: MA8 (EMA 8) crossing MA21 (EMA 21) Filters Applied: ✅ ATR-based post-cross confirmation (optional) ✅ Momentum confirmation (RSI > 50, MACD positive) ✅ Volume spike requirement ✅ HTF (Higher Timeframe) alignment ✅ Strong candle body ratio (>50%) ✅ Multi-MA confirmation (3+ MAs supporting direction) ✅ Price beyond MA21 with conviction ✅ Minimum bar spacing (prevents signal clustering) ✅ Consolidation filter ✅ Whipsaw protection (ATR-based price threshold) Medium-Term Signals (MT) Trigger: MA21 crossing MA50 Less strict filtering for swing trades Major Signals Golden Cross: MA50 crossing above MA200 (major bullish) Death Cross: MA50 crossing below MA200 (major bearish) 🔍 Advanced Filtering System1. ATR-Based ConfirmationPrice must move > (ATR × 0.25) beyond the MA after crossover This prevents false signals during low-volatility consolidation.2. Momentum Filters RSI (14) MACD Histogram Rate of Change (ROC) Composite momentum score (-3 to +3) 3. Volume Analysis Volume spike detection (2x MA) Volume classification: LOW, MED, HIGH, EXPL Directional volume confirmation 4. Higher Timeframe Alignment HTF1: 60-minute (default) HTF2: 4-hour (optional) HTF3: Daily (optional) Signals only trigger when current TF aligns with HTF trend 5. Market Structure Detection Break of Structure (BOS): Price breaking recent swing highs/lows Order Blocks (OB): Institutional demand/supply zones Fair Value Gaps (FVG): Imbalance areas for potential fills 📈 Comprehensive DashboardReal-Time Metrics Display: {scrollbar-width:none;-ms-overflow-style:none;-webkit-overflow-scrolling:touch;} ::-webkit-scrollbar{display:none}MetricDescriptionPriceCurrent close priceTimeframeCurrent chart timeframeSHORT/MEDIUM/MAJORTrend classification (🟢BULL/🔴BEAR/⚪NEUT)HTF TrendsHigher timeframe alignment indicatorsMomentumSTR↑/MOD↑/WK↑/WK↓/MOD↓/STR↓VolatilityLOW/MOD/HIGH/EXTR (based on ATR%)RSI(14)Color-coded: >70 red, <30 greenATR%Volatility as % of priceAdvanced Dashboard Features (Optional): Price Distance from Key MAs vs MA21, MA50, MA200 (percentage) Color-coded: green (above), red (below) MA Alignment Score Calculates % of MAs in proper order 🟢 for bullish alignment, 🔴 for bearish Trend Strength Based on separation between MA21 and MA200 NONE/WEAK/MODERATE/STRONG/EXTREME Consolidation Detection Identifies low-volatility ranges Prevents signals during sideways markets ⚙️ Customization OptionsFilter Toggles: ☑️ Require Momentum ☑️ Require Volume ☑️ Require HTF Alignment ☑️ Use ATR post-cross confirmation ☑️ Whipsaw filter Min bars between signals (default: 5) Dashboard Styling: 9 position options 6 text sizes Custom colors for header, rows, and text Toggle individual metrics on/off 🎨 Visual Elements Signal Labels: ST▲/ST▼ (green/red) - Short-term MT▲/MT▼ (blue/orange) - Medium-term GOLDEN CROSS / DEATH CROSS - Major signals Volume Spikes: Small labels showing volume class + direction Example: "HIGH🟢" or "EXPL🔴" Market Structure: Dashed lines for Break of Structure levels Automatic detection of swing highs/lows 🔔 Alert Conditions Pre-configured alerts for: Short-term bullish/bearish crosses Medium-term bullish/bearish crosses Golden Cross / Death Cross Volume spikes 💡 Key Strengths Institutional-Grade Filtering: Multiple confirmation layers reduce false signals Multi-Timeframe Analysis: Ensures alignment across timeframes Adaptive to Market Conditions: ATR-based thresholds adjust to volatility Comprehensive Dashboard: All critical metrics in one view Highly Customizable: 100+ input parameters Signal Quality Over Quantity: Strict filters prioritize high-probability setups ⚠️ Usage Recommendations Best for: Swing trading and position trading Timeframes: Works on all TFs, optimized for 15m-Daily Markets: Stocks, Forex, Crypto, Indices Signal Frequency: Conservative (quality over quantity) Combine with: Support/resistance, price action, risk management 🔧 Technical Implementation Notes Uses Pine Script v6 syntax Efficient calculation with minimal repainting Maximum 500 labels for performance Security function for HTF data (no lookahead bias) Array-based MA alignment calculation State variables to track signal spacing This is a professional-grade trading system that combines classical technical analysis (moving averages) with modern institutional concepts (market structure, order blocks, multi-timeframe alignment). The extensive filtering system is designed to eliminate noise and focus on high-probability trade setups.
Indicateur Pine Script®
par lohanineeraj
RSI Pivot Breaks█ OVERVIEW RSI Pivot Breaks is an RSI-based indicator that detects breakout events on oscillator-based pivot levels (RSI or MA RSI). The tool automatically plots pivot levels, tracks their breakouts, highlights momentum shifts, and generates alerts for key events (pivot breaks and OB/OS crosses). The indicator is designed primarily for momentum strategies — pivot breakouts often precede directional price moves, making RSI Pivot Breaks a powerful tool for identifying accelerations and changes in strength. █ CONCEPTS The indicator analyzes local RSI extremes and transforms them into dynamic support/resistance levels. When RSI or MA RSI breaks the last pivot, it signals a shift in momentum balance, often leading to an impulse move. Key concepts: - pivot highs/lows detected on RSI or MA RSI, - pivot lines extend forward until broken, - pivot filters restrict pivot detection to specific RSI zones, - OB/OS levels provide contextual momentum thresholds. █ FEATURES Pivot Detection & Breakouts - Detection of pivot highs and lows on RSI or MA RSI. - Pivot filters allow you to limit pivot detection to specific RSI ranges (e.g., only bullish pivots below 50 or bearish pivots above 50). - Pivot lines update automatically after breakout. Background highlights: - green on pivot-high breakouts, - red on pivot-low breakouts. RSI & MA RSI - Dynamic RSI colors based on momentum direction. - Optional MA RSI line (SMA/EMA/RMA/WMA) usable as a smoother pivot source. OB / OS Zones - Fully adjustable overbought/oversold levels. - Dedicated OB/OS colors. - Optional gradient backgrounds. Highlights - Instant identification of moments when RSI breaks a key pivot level. Alerts: - pivot high breakouts. - pivot low breakouts. - OB crosses. - OS crosses. █ HOW TO USE Add the indicator: Indicators → RSI Pivot Breaks. RSI Settings - RSI Length – core RSI period. - RSI MA Length & Type – MA RSI smoothing parameters. Pivot Settings - Pivot Left / Pivot Right – number of bars required to form a pivot and also the number of bars of delay before the pivot becomes confirmed. (Higher values produce more reliable but slower pivots.) Pivot Filters - Minimum/maximum allowed RSI levels for pivot Highs and Lows. - Examples: - detect only pivot Highs at low RSI values. - ignore pivots during extreme momentum. - allow only mid-range pivot detection depending on strategy. Visualization - Toggles for RSI and MA RSI visibility. - Optional gradients. - Full color and transparency customization. OB/OS Levels - Adjustable thresholds depending on instrument volatility and strategy style. █ SIGNAL INTERPRETATION BUY - RSI breaks the latest pivot high. - RSI crosses upward out of OS. - Context example: pivot lows forming a rising sequence. SELL - RSI breaks the latest pivot low. - RSI drops downward from OB. - Context example: pivot highs forming a declining sequence. Trend / Momentum - Pivot breakouts indicate acceleration or continuation of momentum. - MA-based pivots provide smoother and more stable momentum structure. █ APPLICATIONS - Momentum Trading – pivot breaks as early acceleration signals. - Scalping & Intraday – fast RSI pivots react quickly to short-term shifts. - Swing Trading – smoother pivots using MA RSI for higher-timeframe structure. - Divergence Detection – pivot behavior helps reveal divergence patterns, e.g.: - RSI pivots rising while price is falling → potential early momentum reversal. - Custom Filtering – pivot filters allow, for example: - blocking bullish signals near OB. - blocking bearish signals near OS. - detecting pivots only above/below mid-range during strong trends, depending entirely on strategy design. █ NOTES - Pivot detection includes natural delay equal to the Left/Right parameters. - Pivot filters significantly change the character of signals, allowing fine-tuning of aggressiveness for any strategy.
Indicateur Pine Script®
par Uncle_the_shooter
2
Open Interest Z-Score [BackQuant]Open Interest Z-Score A standardized pressure gauge for futures positioning that turns multi venue open interest into a Z score, so you can see how extreme current positioning is relative to its own history and where leverage is stretched, decompressing, or quietly re loading. What this is This indicator builds a single synthetic open interest series by aggregating futures OI across major derivatives venues, then standardises that aggregated OI into a rolling Z score. Instead of looking at raw OI or a simple change, you get a normalized signal that says "how many standard deviations away from normal is positioning right now", with optional smoothing, reference bands, and divergence detection against price. You can render the Z score in several plotting modes: Line for a clean, classic oscillator. Colored line that encodes both sign and momentum of OI Z. Oscillator histogram that makes impulses and compressions obvious. The script also includes: Aggregated open interest across Binance, Bybit, OKX, Bitget, Kraken, HTX, and Deribit, using multiple contract suffixes where applicable. Choice of OI units, either coin based or converted to USD notional. Standard deviation reference lines and adaptive extreme bands. A flexible smoothing layer with multiple moving average types. Automatic detection of regular and hidden divergences between price and OI Z. Alerts for zero line and ±2 sigma crosses. Aggregated open interest source At the core is the same multi venue OI aggregation engine as in the OI RSI tool, adapted from NoveltyTrade's work and extended for this use case. The indicator: Anchors on the current chart symbol and its base currency. Loops over a set of exchanges, gated by user toggles: Binance. Bybit. OKX. Bitget. Kraken. HTX. Deribit. For each exchange, loops over several contract suffixes such as USDT.P, USD.P, USDC.P, USD.PM to cover the common perp and margin styles. Requests OI candles for each exchange plus suffix pair into a small custom OI type that carries open, high, low and close of open interest. Converts each OI stream into a common unit via the sw method: In COIN mode, OI is normalized relative to the coin. In USD mode, OI is scaled by price to approximate notional. Exchange specific scaling factors are applied where needed to match contract multipliers. Accumulates all valid OI candles into a single combined OI "candle" by summing open, high, low and close across venues. The result is oiClose , a synthetic close for aggregated OI that represents cross venue positioning. If there is no valid OI data for the symbol after this process, the script throws a clear runtime error so you know the market is unsupported rather than quietly plotting nonsense. How the Z score is computed Once the aggregated OI close is available, the indicator computes a rolling Z score over a configurable lookback: Define subject as the aggregated OI close. Compute a rolling mean of this subject with EMA over Z Score Lookback Period . Compute a rolling standard deviation over the same length. Subtract the mean from the current OI and divide by the standard deviation. This gives a raw Z score: oi_z_raw = (subject − mean) ÷ stdDev . Instead of plotting this raw value directly, the script passes it through a smoothing layer: You pick a Smoothing Type and Smoothing Period . Choices include SMA, HMA, EMA, WMA, DEMA, RMA, linear regression, ALMA, TEMA, and T3. The helper ma function applies the chosen smoother to the raw Z score. The result is oi_z , a smoothed Z score of aggregated open interest. A separate EMA with EMA Period is then applied on oi_z to create a signal line ma that can be used for crossovers and trend reads. Plotting modes The Plotting Type input controls how this Z score is rendered: 1) Line In line mode: The smoothed OI Z score is plotted as a single line using Base Line Color . The EMA overlay is optionally plotted if Show EMA is enabled. This is the cleanest view when you want to treat OI Z like a standard oscillator, watching for zero line crosses, swings, and divergences. 2) Colored Line Colored line mode adds conditional color logic to the Z score: If the Z score is above zero and rising, it is bright green, representing positive and strengthening positioning pressure. If the Z score is above zero and falling, it shifts to a cooler cyan, representing positive but weakening pressure. If the Z score is below zero and falling, it is bright red, representing negative and strengthening pressure (growing net de risking or shorting). If the Z score is below zero and rising, it is dark red, representing negative but recovering pressure. This mapping makes it easy to see not only whether OI is above or below its historical mean, but also whether that deviation is intensifying or fading. 3) Oscillator Oscillator mode turns the Z score into a histogram: The smoothed Z score is plotted as vertical columns around zero. Column colors use the same conditional palette as colored line mode, based on sign and change direction. The histogram base is zero, so bars extend up into positive Z and down into negative Z. Oscillator mode is useful when you care about impulses in positioning, for example sharp jumps into positive Z that coincide with fast builds in leverage, or deep spikes into negative Z that show aggressive flushes. 4) None If you only want reference lines, extreme bands, divergences, or alerts without the base oscillator, you can set plotting to None and keep the rest of the tooling active. The EMA overlay respects plotting mode and only appears when a visible Z score line or histogram is present. Reference lines and standard deviation levels The Select Reference Lines input offers two styles: Standard Deviation Levels Plots small markers at zero. Draws thin horizontal lines at +1, +2, −1 and −2 Z. Acts like a classic Z score ladder, zero as mean, ±1 as normal band, ±2 as outer band. This mode is ideal if you want a textbook statistical framing, using ±1 and ±2 sigma as standard levels for "normal" versus "extended" positioning. Extreme Bands Extreme bands build on the same ±1 and ±2 lines, then add: Upper outer band between +3 and +4 Z. Lower outer band between −3 and −4 Z. Dynamic fill colors inside these bands: If the Z score is positive, the upper band fill turns red with an alpha that scales with the magnitude of |Z|, capped at a chosen max strength. Stronger deviations towards +4 produce more opaque red fills. If the Z score is negative, the lower band fill turns green with the same adaptive alpha logic, highlighting deep negative deviations. Opposite side bands remain a faint neutral white when not in use, so they still provide structural context without shouting. This creates a visual "danger zone" for position crowding. When the Z score enters these outer bands, open interest is many standard deviations away from its mean and you are dealing with rare but highly loaded positioning states. Z score as a positioning pressure gauge Because this is a Z score of aggregated open interest, it measures how unusual current positioning is relative to its own recent history, not just whether OI is rising or falling: Z near zero means total OI is roughly in line with normal conditions for your lookback window. Positive Z means OI is above its recent mean. The further above zero, the more "crowded" or extended positioning is. Negative Z means OI is below its recent mean. Deep negatives often mark post flush environments where leverage has been cleared and the market is under positioned. The smoothing options help control how much noise you want in the signal: Short Z score lookback and short smoothing will react quickly, suited for short term traders watching intraday positioning shocks. Longer Z score lookback with smoother MA types (EMA, RMA, T3) give a slower, more structural view of where the crowd sits over days to weeks. Divergences between price and OI Z The indicator includes automatic divergence detection on the Z score versus price, using pivot highs and lows: You configure Pivot Lookback Left and Pivot Lookback Right to control swing sensitivity. Pivots are detected on the OI Z series. For each eligible pivot, the script compares OI Z and price at the last two pivots. It looks for four patterns: Regular Bullish – price makes a lower low, OI Z makes a higher low. This can indicate selling exhaustion in positioning even as price washes out. These are marked with a line and a label "ℝ" below the oscillator, in the bullish color. Hidden Bullish – price makes a higher low, OI Z makes a lower low. This suggests continuation potential where price holds up while positioning resets. Marked with "ℍ" in the bullish color. Regular Bearish – price makes a higher high, OI Z makes a lower high. This is a classic warning sign of trend exhaustion, where price pushes higher while OI Z fails to confirm. Marked with "ℝ" in the bearish color. Hidden Bearish – price makes a lower high, OI Z makes a higher high. This is often seen in pullbacks within downtrends, where price retraces but positioning stretches again in the direction of the prevailing move. Marked with "ℍ" in the bearish color. Each divergence type can be toggled globally via Show Detected Divergences . Internally, the script restricts how far back it will connect pivots, so you do not get stray signals linking very old structures to current bars. Trading applications Crowding and squeeze risk Z scores are a natural way to talk about crowding: High positive Z in aggregated OI means the market is running high leverage compared to its own norm. If price is also extended, the risk of a squeeze or sharp unwind rises. Deep negative Z means leverage has been cleaned out. While it can be painful to sit through, this environment often sets up cleaner new trends, since there is less one sided positioning to unwind. The extreme bands at ±3 to ±4 highlight the rare states where crowding is most intense. You can treat these events as regime markers rather than day to day noise. Trend confirmation and fade selection Combine Z score with price and trend: Bull trends with positive and rising Z are supported by fresh leverage, usually more persistent. Bull trends with flat or falling Z while price keeps grinding up can be more fragile. Divergences and extreme bands can help identify which edges you do not want to fade and which you might. In downtrends, deep negative Z that stays pinned can mean persistent de risking. Once the Z score starts to mean revert back toward zero, it can mark the early stages of stabilization. Event and liquidation context Around major events, you often see: Rapid spikes in Z as traders rush to position. Reversal and overshoot as liquidations and forced de risking clear the book. A move from positive extremes through zero into negative extremes as the market transitions from crowded to under exposed. The Z score makes that path obvious, especially in oscillator mode, where you see a block of high positive bars before the crash, then a slab of deep negative bars after the flush. Settings overview Z Score group Plotting Type – None, Line, Colored Line, Oscillator. Z Score Lookback Period – window used for mean and standard deviation on aggregated OI. Smoothing Type – SMA, HMA, EMA, WMA, DEMA, RMA, linear regression, ALMA, TEMA or T3. Smoothing Period – length for the selected moving average on the raw Z score. Moving Average group Show EMA – toggle EMA overlay on Z score. EMA Period – EMA length for the signal line. EMA Color – color of the EMA line. Thresholds and Reference Lines group Select Reference Lines – None, Standard Deviation Levels, Extreme Bands. Standard deviation lines at 0, ±1, ±2 appear in both modes. Extreme bands add filled zones at ±3 to ±4 with adaptive opacity tied to |Z|. Extra Plotting and UI Base Line Color – default color for the simple line mode. Line Width – thickness of the oscillator line. Positive Color – positive or bullish condition color. Negative Color – negative or bearish condition color. Divergences group Show Detected Divergences – master toggle for divergence plotting. Pivot Lookback Left and Pivot Lookback Right – how many bars left and right to define a pivot, controlling divergence sensitivity. Open Interest Source group OI Units – COIN or USD. Exchange toggles for Binance, Bybit, OKX, Bitget, Kraken, HTX, Deribit. Internally, all enabled exchanges and contract suffixes are aggregated into one synthetic OI series. Alerts included The indicator defines alert conditions for several key events: OI Z Score Positive – Z crosses above zero, aggregated OI moves from below mean to above mean. OI Z Score Negative – Z crosses below zero, aggregated OI moves from above mean to below mean. OI Z Score Enters +2σ – Z enters the +2 band and above, marking extended positive positioning. OI Z Score Enters −2σ – Z enters the −2 band and below, marking extended negative positioning. Tie these into your strategy to be notified when leverage moves from normal to extended states. Notes This indicator does not rely on price based oscillators. It is a statistical lens on cross venue open interest, which makes it a complementary tool rather than a replacement for your existing price or volume signals. Use it to: Quantify how unusual current futures positioning is compared to recent history. Identify crowded leverage phases that can fuel squeezes. Spot structural divergences between price and positioning. Frame risk and opportunity around events and regime shifts. It is not a complete trading system. Combine it with your own entries, exits and risk rules to get the most out of what the Z score is telling you about positioning pressure under the hood of the market.
Indicateur Pine Script®
par BackQuant
4
Box TheoryBox Theory – Description This indicator is based on the popular “Box Theory” concept, where the previous session’s High–Low range acts as the most important structure for the next session. Traders use this because the market often reacts to the same areas where liquidity, orders, and imbalances were created in the prior session. At every new session open, the indicator automatically records: Previous High Previous Low Middle (50% level) These three levels form a box, which becomes your roadmap for the new session. This method is widely used because it highlights where most reversals, sweeps, and reactions occur—without needing any extra indicators. How the Zones Are Calculated Previous High The highest price of the last session. This forms the top edge, which acts as resistance and the basis for the Sell Zone. Previous Low The lowest price of the last session. This forms the bottom edge, acting as support and the basis for the Buy Zone. Middle Line (50% Level) The exact midpoint between High and Low. This is the fair-value zone, where price often consolidates and becomes directionless. No signals are triggered near the middle, because trades taken here historically have low accuracy. Buy Zone (Green Area) The lower part of the box. Price often reacts here because this area held buyers in the previous session. When price enters this green zone inside the box, the indicator can show a Buy Zone label. Sell Zone (Red Area) The upper part of the box. Price commonly rejects here because this area acted as resistance previously. When price enters this red zone inside the box, the indicator can show a Sell Zone label. How Zone Size Is Set (Sensitivity %) You can adjust how big the Buy/Sell zones are using the Sensitivity (%) input. Lower % → Smaller zones → More precise signals Higher % → Larger zones → Signals appear earlier and from farther away Formula: Zone Size = (Previous High − Previous Low) × (Sensitivity % ÷ 100) This lets you customize how tight or how early your signals appear. Inside-Box Only Logic The indicator only works inside the previous session’s range. If price breaks above the previous High → No sell signal If price breaks below the previous Low → No buy signal This avoids false signals during breakouts or trending markets. Alerts The indicator includes two alerts: Buy Zone Alert → Triggers when price enters the Buy Zone Sell Zone Alert → Triggers when price enters the Sell Zone Just enable them in TradingView’s alert panel.
Indicateur Pine Script®
par ebecihalil
2
52 Week High LowPurpose This indicator plots the rolling **52-week high and low price levels** to highlight long-term breakout zones, major support/resistance bands, and trend structure used by position and swing traders. ## How It Works The script dynamically calculates: - The highest high over the last ~260 trading sessions (52-week high) - The lowest low over the last ~260 trading sessions (52-week low) - Visual bands that update in real time as price evolves ## Best Timeframe Optimized for **daily charts** to reflect true yearly price ranges. Can be adapted to other timeframes using the bar-count inputs. ## Trading Applications ✅ Breakout confirmation tool ✅ Long-term trend validation ✅ Relative strength filter alignment ✅ RRG and momentum cross-checks ✅ Swing trade zone identification ## How To Use 1. Apply to daily charts. 2. Track price interaction with the 52-week bands. 3. Look for: - Breakouts above the high band for trend continuation - Pullbacks toward the high band for retest entries - Rejections at the low band as breakdown confirmation ⚠️ This indicator maps key price structure — it does **not predict directional outcomes**. Always combine with volume or momentum confirmation. --- ## Mathematical Basis Rolling extreme calculations based on: - **Highest high over N bars** - **Lowest low over N bars** N defaults to **52 weeks × 5 sessions = 260 bars** for daily charts. --- Developed for professional retail traders seeking institutional-grade structural tools.
Indicateur Pine Script®
par amitlall
Session, Weekly, Daily LevelsScroll down for hungarian description! Magyar leíráshoz görgess lejjebb! Overview This script provides a unified market structure mapping tool that automatically identifies and visualizes key intraday, daily, and weekly reference levels. It helps traders contextualize price action throughout the trading week by marking true session opens, previous day highs/lows, weekly highs/lows, and weekday opens, all with accurate historical anchoring and correct timezone handling. What This Script Does 1. Intraday Session Opens (Tokyo, London, New York) - Detects the exact candle where each session opens. - Draws horizontal rays with labels. - Automatically clears lines at the start of each new day. - Uses a custom local-to-exchange timezone conversion system. 2. Weekly Levels - Last week high and low (precise bar anchoring, not HTF aggregation) - Current week open (also Monday open) - Auto-reset on new week - Levels are always drawn from the true candle where they formed. 3. Previous Day High & Low - Continuously tracks intraday highs and lows. - On a new day, stores yesterday’s values and anchors rays to the exact bars. - Levels remain visible for the full current day and reset the next day. 4. Weekday Opens (Tue–Fri) - Captures the exact opening price of Tuesday–Friday. - Monday open = Week open, so it is not shown separately. - Auto-reset on new week. Timezone Logic (Original Feature) The script converts: local session times → exchange timezone → chart timestamps It works correctly regardless of chart timezone or instrument exchange location. Line Drawing Logic - Finds the exact bar_index where each level forms. - Draws rays extending to the right. - Labels are placed ahead of price. - Safe updating prevents “bar index too far” errors. How to Use - Identify daily/weekly structure. - Track bias relative to session opens. - Observe reactions around weekday opens. - Compare price action to last week's range. Originality - Custom timezone conversion engine. - True historical bar anchoring. - Fully automated weekly/daily structural resets. - Independent styling for each level type. - Not a mashup; all components follow one unified logic. Limitations - Does not predict trend or direction. - Structural tool only. Summary A precise and reliable market structure tool that unifies weekly, daily, and intraday reference levels with full timezone automation and true-candle anchoring. MAGYAR LEÍRÁS -------------- Áttekintés Ez az indikátor egy összetett piaci szerkezet-feltérképező eszköz, amely automatikusan megjeleníti a legfontosabb intraday, napi és heti referenciaértékeket. A célja, hogy a kereskedő tisztán lássa a piac aktuális környezetét: hol nyíltak a főbb devizapiaci szekciók, hogyan alakult a tegnapi tartomány, hol volt a múlt heti csúcs/mélypont, és hogyan nyitottak az egyes hétköznapok. Mit tud a script? 1. Szekciónyitások (Tokyo, London, New York) - Megkeresi a pontos gyertyát, amely a szekciónyitáskori árat tartalmazza. - Vízszintes vonalat és címkét rajzol. - Minden nap elején automatikusan törli a korábbi nap szintjeit. - Egyedi időzóna-konverziós rendszerrel működik (helyi idő → tőzsdei idő → chart idő). 2. Heti szintek - Múlt heti maximum és minimum (pontos gyertyapontra horgonyozva) - Aktuális heti nyitóár (egyben a hétfői nyitó is) - Új hét kezdetekor automatikusan frissül. - A múlt heti high/low nem fix időpontra, hanem a valódi gyertyára kerül. 3. Előző napi High és Low - Folyamatosan követi a napi maximumot és minimumot. - Napváltáskor elmenti és pontos gyertyáról indítja a ray-t. - A szintek a teljes nap folyamán megmaradnak, majd a következő nap törlődnek. 4. Hétköznapok nyitóárai (Kedd–Péntek) - A kedd, szerda, csütörtök és péntek nyitóárát rögzíti és megjeleníti. - A hétfői nyitó a Week Open, ezért külön nem jelenik meg. - Heti váltáskor automatikusan törlődnek. Időzóna-kezelés (egyedi megoldás) A script a felhasználó helyi idejét átszámítja az instrumentum tőzsdei időzónájára, majd a chartra vetíti. Ez biztosítja, hogy minden szekciónyitás helyesen jelenik meg, bármely chart vagy instrumentum esetén. Vonalrajzolási logika - A szintek a valódi bar_index alapján kerülnek rögzítésre. - Jobbra nyúló ray-eket rajzol. - A címkék mindig a jobb oldalon, előre helyezve jelennek meg. - Biztonságos frissítési rendszer akadályozza meg a hibákat (pl. “bar index too far”). Használat - Napi/heti szerkezet meghatározása. - Bias követése a session openekhez viszonyítva. - Reakciók figyelése a hétköznapok nyitóárai körül. - Összevetés a múlt heti tartománnyal. Eredetiség - Egyedi időzóna-kezelő motor. - Igazi gyertyapont-alapú horgonyzás. - Automatikus napi/heti reset. - Minden szint külön stílusban konfigurálható. - Nem mashup; egységes rendszer. Összegzés Professzionális, pontos eszköz a piaci szerkezet feltérképezésére, amely egyesíti a heti, napi és intraday szinteket, teljes időzóna-automatizálással és gyertyapontra horgonyzott kijelölésekkel.
Indicateur Pine Script®
par mildZebra14333
Kaufman Adaptive Moving Average + ART**Kaufman Adaptive Moving Average (fixed TF) + ATR Volatility Bands** This script is a Pine Script v5 extension of the original *Kaufman Adaptive Moving Average* by Alex Orekhov (everget). It adds: * a **fixed timeframe option** for KAMA * a separate **ATR panel under the chart** * **configurable ATR volatility levels** with dynamic coloring. KAMA adapts its smoothing to market conditions: it speeds up in strong trends and slows down in choppy phases. Here, KAMA can be calculated on any timeframe (e.g. 1D) and overlaid on a lower-timeframe chart (e.g. 1H), so you can track higher-TF trend structure while trading intraday. The ATR panel visualizes volatility in the same or a separate timeframe and highlights phases of high/low volatility based on user-defined thresholds. --- ### Features **KAMA (on chart)** * Standard KAMA parameters: `Length`, `Fast EMA Length`, `Slow EMA Length`, `Source` * Input: **KAMA Timeframe** * empty → uses chart timeframe * any value (e.g. `60`, `240`, `D`, `W`) → calculates KAMA on that fixed TF and maps it to the chart * Color-changing KAMA line: * **green** when the selected-TF KAMA is rising * **red** when it is falling * Optional *Await Bar Confirmation* to avoid reacting to still-forming bars * Built-in alert when the KAMA color changes (potential trend shift). **ATR panel (separate window under the chart)** * Own inputs: `Show ATR`, `ATR Length` * **ATR Timeframe** input: * empty → ATR uses the same TF as KAMA * custom value → fully independent ATR timeframe * Two user-defined volatility levels: * `ATR High Vol Level` – threshold for **high volatility** * `ATR Low Vol Level` – threshold for **low volatility** * ATR line coloring: * **red** when ATR > High Vol Level (high volatility regime) * **green** when ATR < Low Vol Level (quiet market) * **blue** in the normal range between the two levels. --- ### How to use 1. Add the script to your chart. 2. Choose a **KAMA Timeframe** (leave empty for chart TF, or set to a higher TF for multi-timeframe trend following). 3. Optionally set a different **ATR Timeframe** to monitor volatility on yet another TF. 4. Adjust `ATR High Vol Level` and `ATR Low Vol Level` to match the instrument and timeframe you trade. 5. Use: * the **KAMA color changes** as trend / regime signals, and * the **ATR colors & levels** to quickly see whether you’re trading in a low-, normal- or high-volatility environment. This combination is designed to keep the chart itself clean (only KAMA on price) while giving you a dedicated volatility dashboard directly underneath.
Indicateur Pine Script®
par p_zerbst
Float Rotation TrackerFloat Rotation Tracker - Quick Reference Guide What is Float Rotation? Float Rotation = Cumulative Daily Volume ÷ Float Example: Float = 5,000,000 shares Day Volume = 7,500,000 shares Rotation = 7.5M ÷ 5M = 1.5x (150%) When rotation hits 1x (100%), every available share has theoretically changed hands at least once during the trading day. Why It Matters RotationMeaningImplication0.5x50% of float tradedInterest building1.0x 🔥Full rotationExtreme interest confirmed2.0x 🔥🔥Double rotationVery high volatility3.0x 🔥🔥🔥Triple rotationRare - maximum volatility Key insight: High rotation on a low-float stock = explosive potential Float Classification Float SizeClassificationRotation Impact≤ 2M🔥 MICROExtremely volatile, fast rotation≤ 5M🔥 VERY LOWExcellent momentum potential≤ 10MLOWGood for rotation plays> 10MNORMALNeeds massive volume to rotate Rule of thumb: Focus on stocks with float under 10M for meaningful rotation signals. Reading the Indicator Rotation Line (Yellow) Shows current rotation level Rises throughout the day as volume accumulates Crosses horizontal level lines at milestones Level Lines LineColorMeaning0.5Gray dotted50% rotation1.0Orange solidFull rotation2.0Red solidDouble rotation3.0Fuchsia solidTriple rotation Volume Bars (Bottom) ColorMeaningGrayBelow average volumeBlueNormal volume (1-2x avg)GreenHigh volume (2-5x avg)LimeExtreme volume (5x+ avg) Milestone Markers Circles appear when rotation crosses key levels Labels show "50%", "1x", "2x", "3x🔥" Background Color Changes as rotation increases Darker = higher rotation level Info Table Explained FieldDescriptionFloatShare count + classification (MICRO/LOW/NORMAL)SourceAuto ✓ = TradingView data / Manual = user enteredRotationCurrent rotation with emoji indicatorRotation %Same as rotation × 100Day VolumeCumulative volume todayTo XxVolume needed to reach next milestoneBar RVolCurrent bar's relative volumeMilestonesWhich levels have been hit todayPer RotationShares equal to one full rotationEst. TimeBars until next milestone (at current pace) Trading with Float Rotation Entry Signals Early Entry (Higher Risk, Higher Reward) Rotation approaching 0.5x Strong price action (bull flag, breakout) Rising relative volume bars Confirmation Entry (Lower Risk) Rotation at or above 1x Price holding above VWAP Continuous green/lime volume bars Late Entry (Highest Risk) Rotation above 2x Only enter on clear pullback pattern Tight stop required Exit Signals Warning Signs: Rotation very high (2x+) with declining volume bars Reversal candle after milestone Price breaking below key support Volume bars turning gray/blue after being green/lime Take Profits: Partial profit at each rotation milestone Trail stop as rotation increases Full exit on reversal pattern after 2x+ rotation Best Setups Ideal Float Rotation Play ✓ Float under 10M (preferably under 5M) ✓ Stock up 5%+ on the day ✓ News catalyst driving interest ✓ Rotation approaching or exceeding 1x ✓ Price above VWAP ✓ Volume bars green or lime ✓ Clear chart pattern (bull flag, flat top) Red Flags to Avoid ✗ Float over 50M (hard to rotate meaningfully) ✗ Rotation high but price declining ✗ Volume bars turning gray after spike ✗ No clear catalyst ✗ Price below VWAP with high rotation ✗ Late in day (3pm+) after 2x rotation Float Data Sources If auto-detect doesn't work, get float from: SourceHow to FindFinvizfinviz.com → ticker → "Shs Float"Yahoo FinanceFinance.yahoo.com → Statistics → "Float"MarketWatchMarketwatch.com → ticker → ProfileYour BrokerUsually in stock details/fundamentals Note: Float can change due to offerings, buybacks, lockup expirations. Check recent data. Settings Guide Conservative Settings Alert Level 1: 0.75 (75%) Alert Level 2: 1.0 (100%) Alert Level 3: 2.0 (200%) Alert Level 4: 3.0 (300%) High Vol Multiplier: 2.0 Extreme Vol Multiplier: 5.0 Aggressive Settings Alert Level 1: 0.3 (30%) Alert Level 2: 0.5 (50%) Alert Level 3: 1.0 (100%) Alert Level 4: 2.0 (200%) High Vol Multiplier: 1.5 Extreme Vol Multiplier: 3.0 Alert Setup Recommended Alerts 100% Rotation (1x) - Primary signal Most important milestone Confirms extreme interest High Rotation + Extreme Volume Combined condition Very high probability signal How to Set Right-click chart → Add Alert Condition: Float Rotation Tracker Select desired milestone Set notification (popup/email/phone) Set expiration Common Questions Q: Why is my float showing "Manual (no data)"? A: TradingView doesn't have float data for this stock. Enter the float manually in settings after looking it up on Finviz or Yahoo Finance. Q: The rotation seems too high/low - is the float wrong? A: Possibly. Cross-check float on Finviz. Recent offerings or share structure changes may not be reflected in TradingView's data. Q: What if float rotates early in the day? A: Early 1x rotation (within first hour) is very bullish - indicates massive interest. Watch for continuation patterns. Q: High rotation but price is dropping? A: This is distribution - large holders are selling into demand. High rotation doesn't guarantee price direction, just volatility. Q: Can I use this for swing trading? A: The indicator resets daily, so it's designed for intraday use. You could note multi-day rotation patterns manually. Quick Decision Matrix RotationPrice ActionVolumeDecision<0.5xStrong upHighWatch, early stage0.5-1xConsolidatingSteadyPrepare entry1x+Breaking outIncreasingEntry on pattern1x+DroppingHighAvoid - distribution2x+Strong upExtremePartial profit, trail stop2x+Reversal candleDecliningExit or avoid Workflow Integration MORNING ROUTINE: 1. Scan for gappers (5%+, high volume) 2. Check float on each candidate 3. Apply Float Rotation Tracker 4. Prioritize lowest float with building rotation DURING SESSION: 5. Watch rotation levels on active trades 6. Enter on patterns when rotation confirms (0.5-1x) 7. Scale out as rotation increases 8. Exit or trail after 2x rotation END OF DAY: 9. Note which stocks hit 2x+ rotation 10. Review rotation vs price action 11. Learn patterns for future trades Combining with Other Indicators IndicatorHow to Use Together5 PillarsScreen for low-float stocks firstGap & GoCheck rotation on gappersBull FlagEnter bull flags with 1x+ rotationVWAPOnly trade rotation plays above VWAPRSIWatch for divergence at high rotation Key Takeaways Float size matters - Lower float = faster rotation = more volatility 1x is the key level - Full rotation confirms extreme interest Volume quality matters - Green/lime bars better than gray Combine with price action - Rotation confirms, patterns trigger Know when you're late - 2x+ rotation is late stage Check your float data - Wrong float = wrong rotation calculation Happy Trading! 🔥
Indicateur Pine Script®
par DayTradingMD1992
Gap & Go Day Trading Tool - Key Levels, Alerts & Setup GradingVisualizes Gap & Go setups with automatic gap detection, pre-market levels, and breakout signals. Shows: ✅ Gap % with quality rating (5%/10%/20%+) ✅ Pre-market high/low ✅ First candle range ✅ 50% gap fill target ✅ VWAP ✅ Relative volume. Includes setup grading system (A+ to C), entry signals on PM high breakouts, and 6 customizable alerts. Perfect for momentum day traders focusing on gapping stocks. Full Description █ OVERVIEW The Gap & Go indicator automatically identifies and visualizes gap trading setups - one of the most popular momentum day trading strategies. When a stock gaps up significantly from the prior close, it often signals strong buying interest and potential for continuation moves. This indicator displays all the key levels you need to trade gaps effectively, grades setup quality, and alerts you to breakout opportunities. █ HOW IT WORKS The indicator calculates the gap percentage between yesterday's close and today's open, then displays critical support/resistance levels that gap traders watch: Gap Zone → The price range between prior close and gap open Pre-Market High/Low → Key breakout and support levels from extended hours First Candle Range → Opening range that often defines intraday direction 50% Gap Fill → Common retracement target and support level VWAP → Institutional reference point █ GAP CLASSIFICATION Gaps are automatically classified by magnitude: 🔥 Qualifying Gap (5%+) → Meets minimum threshold for gap trading 🔥🔥 Strong Gap (10%+) → Ideal gap size for momentum plays 🔥🔥🔥 Monster Gap (20%+) → Exceptional move requiring extra attention Background color changes based on gap quality for instant visual identification. █ SETUP GRADING SYSTEM The indicator grades each setup from A+ to C based on multiple factors: - Gap magnitude (qualifying vs strong) - Relative volume (2x+ vs 5x+ average) - Price position relative to VWAP A+ Setup (4-5 points) → High probability A Setup (3 points) → Good setup B Setup (2 points) → Moderate C Setup (0-1 points) → Weak/avoid █ ENTRY SIGNALS Triangle signals appear when price breaks above key levels: ▲ Lime Triangle → Breaking above Pre-Market High ▲ Aqua Triangle → Breaking above First Candle High Signals require volume confirmation by default (configurable). █ KEY LEVELS DISPLAYED - Prior Close (Orange) → Gap reference point - Pre-Market High (Lime) → Primary breakout level - Pre-Market Low (Red) → Support if gap fails - First Candle Range (Aqua box) → Opening range breakout levels - 50% Gap Fill (Yellow dotted) → Common support/target - VWAP (Purple) → Institutional pivot █ INFO TABLE Real-time dashboard showing: - Gap % with quality emoji - Relative Volume with status - All key price levels - Breakout status (✓ if broken) - Distance from PM High - Setup Grade █ ALERTS INCLUDED 6 customizable alerts: 1. Qualifying Gap Detected (5%+) 2. Strong Gap Detected (10%+) 3. Monster Gap Detected (20%+) 4. Pre-Market High Breakout 5. First Candle High Breakout 6. 50% Gap Fill Test 7. Full Gap Fill (setup invalidated) █ SETTINGS Gap Settings - Minimum gap % threshold - Strong gap % threshold - Monster gap % threshold Volume Settings - Enable/disable relative volume filter - Minimum RVol requirement - Strong RVol threshold - RVol calculation period Level Settings - Toggle each level type on/off - Show/hide gap zone - Show/hide VWAP Signal Settings - Breakout signal type (PM High, First Candle, Both) - Volume confirmation requirement Visual Settings - Info table position - Color customization for all levels █ HOW TO USE 1. Scan for gapping stocks pre-market (use a scanner or watchlist) 2. Apply this indicator to candidates 3. Check the Setup Grade in the info table 4. Wait for price to consolidate near pre-market high 5. Enter on breakout above PM High with volume confirmation 6. Use 50% gap fill or PM Low as stop loss reference 7. Monitor VWAP - staying above is bullish █ BEST PRACTICES ✓ Focus on A and A+ setups ✓ Require strong relative volume (5x+) ✓ Trade in the direction of the gap (long for gap ups) ✓ Watch for gap fill as potential support ✓ Be cautious if price falls below VWAP ✓ First 30-60 minutes typically have best momentum █ TIMEFRAME RECOMMENDATIONS - 1-minute: Scalping, precise entries - 5-minute: Most common for gap trading (recommended) - 15-minute: Swing entries, less noise █ NOTES - Pre-market levels require extended hours data enabled - First candle range is based on the first regular market candle - Works on stocks, ETFs, and futures - Gaps down are detected but focus is on gap-up setups █ DISCLAIMER This indicator is for educational purposes only. Gap trading involves significant risk. Past performance does not guarantee future results. Always use proper risk management and never risk more than you can afford to lose.
Indicateur Pine Script®
par DayTradingMD1992
Scout Regiment - D17# Scout Regiment - D17 Indicator ## English Documentation ### Overview Scout Regiment - D17 is a comprehensive TradingView indicator that combines multiple technical analysis tools into one powerful overlay indicator. It provides traders with market structure analysis, divergence detection, volume profiling, smart money concepts, and session analysis. ### Key Features #### 1. **EMA (Exponential Moving Averages)** - **Purpose**: Trend identification and dynamic support/resistance levels - **Configuration**: 13 customizable EMAs with adjustable periods - **Default Active EMAs**: EMA 3 (21), EMA 5 (55), EMA 7 (144), EMA 8 (233) - **Uses**: Identify trend direction, entry/exit points, and trend strength - **Color Coding**: Different colors for easy visual distinction #### 2. **TFMA (Timeframe Moving Averages)** - **Purpose**: Multi-timeframe trend analysis - **Features**: - 3 EMAs on higher timeframes - Dynamic labels showing trend direction - Price difference percentage display - Customizable timeframe settings - **Default Settings**: 21-period timeframe with lengths 55, 144, and 233 - **Benefits**: Align trades with higher timeframe trends #### 3. **DFMA (Daily Frame Moving Averages)** - **Purpose**: Daily timeframe perspective on any chart - **Features**: Similar to TFMA but specifically for daily analysis - **Default Timeframe**: 1D (Daily) - **Use Case**: Long-term trend confirmation and positioning #### 4. **PMA (Price Moving Averages)** - **Purpose**: Price channel analysis with filled areas - **Configuration**: 7 customizable moving averages with fill zones - **Default Lengths**: 12, 144, 169, 288, 338, 576, 676 - **Visual**: Color-filled zones between selected MAs for channel trading #### 5. **VWAP (Volume Weighted Average Price)** - **Purpose**: Institutional trading levels and fair value - **Features**: - Multiple anchor periods (Session, Week, Month, Quarter, Year, etc.) - Standard deviation bands - Corporate event anchoring (Earnings, Dividends, Splits) - **Use Case**: Identify institutional support/resistance and mean reversion opportunities #### 6. **Divergence Detector** - **Purpose**: Identify potential trend reversals - **Supported Indicators**: MACD, MACD Histogram, RSI, Stochastic, CCI, Williams %R, Bias, Momentum, OBV, SOBV, VWmacd, CMF, MFI, and external indicators - **Divergence Types**: - Regular Bullish/Bearish - Hidden Bullish/Bearish - **Features**: - Automatic divergence line drawing - Customizable detection parameters - Color-coded alerts #### 7. **Volume Profile & Node Detection** - **Purpose**: Identify key price levels based on volume distribution - **Features**: - Volume Profile with POC (Point of Control) - Value Area High (VAH) and Value Area Low (VAL) - Peak and trough volume node detection - Highest/lowest volume node highlighting - **Lookback**: Configurable (default 377 bars) - **Use Case**: Identify support/resistance zones and liquidity areas #### 8. **Smart Money Concepts** - **Purpose**: Track institutional trading patterns - **Features**: - Market Structure (BOS - Break of Structure, CHoCH - Change of Character) - Internal and Swing structures - Strong/Weak Highs and Lows - Equal Highs/Lows detection - Fair Value Gaps (FVG) - **Modes**: Historical or Present (latest only) - **Use Case**: Trade with institutional flow #### 9. **Trading Sessions** - **Purpose**: Analyze market behavior during different global sessions - **Available Sessions**: - Asian Session - Sydney, Tokyo, Shanghai, Hong Kong - European Session - London, New York, NYSE - **Features**: - Session boxes with high/low visualization - Real-time countdown timers - Volume and price change tracking - Information table with session statistics - **Customization**: Choose which sessions to display, colors, and box styles ### How to Use #### For Trend Following: 1. Enable EMAs 3, 5, 7, and 8 2. Use TFMA for higher timeframe confirmation 3. Look for price above/below key EMAs for trend direction 4. Use VWAP as additional confirmation #### For Reversal Trading: 1. Enable Divergence Detector with MACD Histogram and Bias 2. Look for divergences at key support/resistance levels 3. Confirm with Smart Money CHoCH signals 4. Use Volume Profile nodes as entry/exit targets #### For Intraday Trading: 1. Enable Trading Sessions 2. Focus on high-volume sessions (London, New York overlap) 3. Use session highs/lows as support/resistance 4. Trade Fair Value Gaps during active sessions #### For Swing Trading: 1. Use DFMA for daily trend 2. Enable PMA for channel identification 3. Look for price reactions at volume profile value areas 4. Confirm with swing structure breaks ### Best Practices 1. **Don't Overcrowd**: Enable only the components you need for your strategy 2. **Multi-Timeframe Analysis**: Always check higher timeframe TFMA/DFMA 3. **Confluence**: Look for multiple signals confirming the same direction 4. **Volume Confirmation**: Use Volume Profile to validate price action 5. **Session Awareness**: Be aware of which session is active for volatility expectations ### Performance Optimization - Disable unused features to improve chart loading speed - Use "Present Mode" for Smart Money Concepts if historical data isn't needed - Reduce Volume Profile lookback period on slower devices ### Alerts The indicator includes alert conditions for: - All divergence types (8 conditions) - Smart Money structure breaks (8 conditions) - Equal highs/lows detection - Fair Value Gaps formation --- ## 中文说明文档 ### 概述 Scout Regiment - D17 是一款综合性TradingView指标，将多个技术分析工具整合到一个强大的叠加指标中。它为交易者提供市场结构分析、背离检测、成交量分析、聪明钱概念和时区分析。 ### 核心功能 #### 1. **EMA（指数移动平均线）** - **用途**：趋势识别和动态支撑阻力位 - **配置**：13条可自定义周期的EMA - **默认启用**：EMA 3（21）、EMA 5（55）、EMA 7（144）、EMA 8（233） - **应用**：识别趋势方向、进出场点位和趋势强度 - **颜色编码**：不同颜色便于视觉区分 #### 2. **TFMA（时间框架移动平均线）** - **用途**：多时间框架趋势分析 - **特点**： - 3条更高时间框架的EMA - 显示趋势方向的动态标签 - 价格差异百分比显示 - 可自定义时间框架设置 - **默认设置**：21周期时间框架，长度为55、144和233 - **优势**：使交易与更高时间框架趋势保持一致 #### 3. **DFMA（日线框架移动平均线）** - **用途**：在任何图表上提供日线时间框架视角 - **特点**：与TFMA类似，但专门用于日线分析 - **默认时间框架**：1D（日线） - **使用场景**：长期趋势确认和定位 #### 4. **PMA（价格移动平均线）** - **用途**：价格通道分析与填充区域 - **配置**：7条可自定义的移动平均线，带填充区域 - **默认长度**：12、144、169、288、338、576、676 - **视觉效果**：选定MA之间的彩色填充区域，用于通道交易 #### 5. **VWAP（成交量加权平均价格）** - **用途**：机构交易水平和公允价值 - **特点**： - 多个锚定周期（交易日、周、月、季度、年等） - 标准差波段 - 企业事件锚定（财报、分红、拆股） - **使用场景**：识别机构支撑阻力和均值回归机会 #### 6. **背离检测器** - **用途**：识别潜在趋势反转 - **支持指标**：MACD、MACD柱状图、RSI、随机指标、CCI、威廉指标、乖离率、动量、OBV、SOBV、VWmacd、CMF、MFI及外部指标 - **背离类型**： - 常规看涨/看跌背离 - 隐藏看涨/看跌背离 - **特点**： - 自动绘制背离连线 - 可自定义检测参数 - 颜色编码警报 #### 7. **成交量分布与节点检测** - **用途**：基于成交量分布识别关键价格水平 - **特点**： - 成交量分布图与POC（控制点） - 价值区域高点（VAH）和低点（VAL） - 峰值和低谷成交量节点检测 - 最高/最低成交量节点突出显示 - **回溯期**：可配置（默认377根K线） - **使用场景**：识别支撑阻力区域和流动性区域 #### 8. **聪明钱概念** - **用途**：追踪机构交易模式 - **特点**： - 市场结构（BOS-突破结构、CHoCH-结构转变） - 内部和摆动结构 - 强/弱高低点 - 等高/等低检测 - 公允价值缺口（FVG） - **模式**：历史模式或当前模式（仅最新） - **使用场景**：跟随机构资金流动交易 #### 9. **交易时区** - **用途**：分析不同全球时段的市场行为 - **可用时段**： - 亚洲时段 - 悉尼、东京、上海、香港 - 欧洲时段 - 伦敦、纽约、纽交所 - **特点**： - 时段方框显示高低点 - 实时倒计时 - 成交量和价格变化追踪 - 时段统计信息表格 - **自定义**：选择显示哪些时段、颜色和方框样式 ### 使用方法 #### 趋势跟随策略： 1. 启用EMA 3、5、7和8 2. 使用TFMA进行更高时间框架确认 3. 观察价格在关键EMA上方/下方确定趋势方向 4. 使用VWAP作为额外确认 #### 反转交易策略： 1. 启用背离检测器（MACD柱状图和乖离率） 2. 在关键支撑阻力位寻找背离 3. 用聪明钱CHoCH信号确认 4. 使用成交量分布节点作为进出场目标 #### 日内交易策略： 1. 启用交易时区 2. 关注高成交量时段（伦敦、纽约重叠时段） 3. 使用时段高低点作为支撑阻力 4. 在活跃时段交易公允价值缺口 #### 波段交易策略： 1. 使用DFMA确定日线趋势 2. 启用PMA识别通道 3. 观察价格在成交量分布价值区域的反应 4. 用摆动结构突破确认 ### 最佳实践 1. **避免过度拥挤**：仅启用策略所需的组件 2. **多时间框架分析**：始终检查更高时间框架的TFMA/DFMA 3. **汇合点**：寻找多个信号确认同一方向 4. **成交量确认**：使用成交量分布验证价格行为 5. **时段意识**：了解当前活跃时段以预期波动性 ### 性能优化 - 禁用未使用的功能以提高图表加载速度 - 如果不需要历史数据，对聪明钱概念使用"当前模式" - 在较慢设备上减少成交量分布回溯期 ### 警报 指标包含以下警报条件： - 所有背离类型（8个条件） - 聪明钱结构突破（8个条件） - 等高/等低检测 - 公允价值缺口形成 --- ## Technical Support For questions or issues, please refer to the TradingView community or contact the indicator creator. ## 技术支持 如有问题，请参考TradingView社区或联系指标创建者。
Indicateur Pine Script®
par lwmxmpyp