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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.
Pine Script® library
by TradingView
25
Buy/Sell Alert EMA with SuperFormula by zdmre*** Use it at your own risk This indicator has 3 indicators and gives a buy/sell signal depending on the EMA. 3 indicators: - Ichimoku - Bollinger Band - EMA It also shows the value on the candle as a warning in the Buy and Sell signals. This value is calculated with a special formula I have created. On the other hand Bollinger Band and Ichimoku Cloud are also included to check the accuracy of the signals. For this indicator, I recommend a minimum of 4 hours chart.
Pine Script® indicator
by zdmre
10
Trend Indicators CollectionAnalyses MACD crosses with Ichimoku cloud direction and state General idea: - MACD crosses usually point to a change in trend direction and Kumo state and direction often act as a confirmation as well as a trend strength indicator. Using this, the script points out where there were was or can be a point where the trend change may have the strength to carry on. Buy warnings: - This warning will be triggered in two ways, both of them only if MACD is above EMA and the current close price is over Kumo: - Senku span A crosses over Senku B (Kumo turns positive) when MACD is already positive - MACD turns positive when Kumo is already positive Sell warnings - Triggered in two ways: - Kumo turns negative when the current close price is bellow EMA - The inverse of the above, the current close price falls bellow EMA when the Kumo is already negative Trend Indicators Collection (TIC) contains: - MACD, EMA, ADX, Mass index, Ichimoku Cloud, and Pivot points - Best suited for monthly charts with 30m bars
Pine Script® indicator
by UnknownUnicorn13575367
7-EMA 3-SMA BB_FiboR Icnimoke and SNRContains of:- 7 EMA 3 SMA Bollinger Bands Fibonacci Retracement Ichimoku Support and resistance The idea is, my technique required to use EMA and SMA and bollinger band to monitor trend whether strong or not, then I use Fibonacci retracement to monitor how far it will drop or how far it will go up. On the other method, I'm using EMA and SMA and Ichimoku to monitor counter that have midterm potential. The SNR is to calculate my support and resistance which is when to EP, TP and CL. RBS signal is when the price break the resistance, which the price exceed the top of latest length of bar you set. SBR signal indicate where we need to cutloss, when the price lower than bottom of latest of bar you set All in one indicator. Saves all number of indicator you need. Convenience for free user
Pine Script® indicator
by sarifzul
4
T3 ICL MACD STRATEGY Backtested manually and received approx 60% winrate. Tradingview strategy tester is skewed because this program does not specify when to sell at profit target or at a stop loss. Uses 1 min for entry and a longer time frame for confirmation (5,10,15, etc..) (Not sure what the yellow arrows are in the picture but they can be ignored) Ideal Long Entry - The algo uses T3 moving average (T3) and the Ichimoku Conversion Line (ICL) to determine when to enter a long or short position. In this case we are going to showcase what causes the algo to alert long. It first checks to see if the the ICL is greater than T3. Once that condition is met T3 must be green in order to enter long and finally the last closing price has to be greater than the ICL. You can use the MACD to further verify a long trend as well! Ideal Short Entry - The algo uses T3 moving average (T3) and the Ichimoku Conversion Line (ICL) to determine when to enter a long or short position. In this case we are going to showcase what causes the algo to alert short. It first checks to see if the the ICL is less than T3. Once that condition is met T3 must be red in order to enter short and finally the last closing price has to be less than the ICL. You can use the MACD to further verify a long trend as well!
Pine Script® strategy
by dannypopo
IKAKOver2（LITE雲なし） change point I tried to make the operation lighter by removing the display of the Ichimoku balance table. We have set a period such as EMA to use 5 minute bars and the first band is period 60 and 100 EMA . The color of the belt changes according to the position of the period 5EMA-25EMA-50EMA. The second sash is based on a 60- and 100-EMA period of 15 minutes. The change in the color of the obi is also a 15-minute specification. Since the above period can be changed, I think that there are customs such as 1 hour and 4 hours. Buying and selling signs are shown in green for buying and red for selling. (More frequent) For the time being, it is also possible to display the Ichimoku balance table. As for my usage method, when both the 15-minute and 5-minute bars have an uptrend (downtrend ), when each trading sign is confirmed, spread the limit just below the price. . (Because there is a commission in the market) If the color of the obi becomes yellow, the trend may be over, so wait for the signature to reach the bundle of 15 minutes instead of 5 minutes, and after the signature is confirmed, it is the same as 5 minutes. The loss cut line is often the latest low. Or when the obi is broken. . I am still studying about profitability. Sometimes we use indicators, sometimes we reach the target horizon. I think each way is good. It is a discretionary aid, and the head and tail are cut off, and the image is about 10 to 100 ＄.
Pine Script® indicator
by nanja600
1
Balanced/Unbalanced MarketWhen market chooses to go uptrend or downtrend, the equilibrium between buyers and sellers vanishes and the trend with the different qualifications forms. The number of balanced and unbalanced periods of a trend can relate to it's weakness/strength. Using indicators like ichimoku can initially help us to simply understand these concept. So simply: 1- When Kj (Kijunsen=Ichimoku baseline) become flat, it shows the equilibrium between buyers and sellers. In line 13 of the script code, we can see the condition for this. In this case, better to use Kj=52 as it's closer to the concept of equilibrium market and contains more flat periods. Also we can use Kj ==Kj and Kj ==Kj instead, to filter the balanced bars more. 2- When Kj stand higher or lower than it's previous value, it can be used as determiner for bullishness and bearishness of the market. In lines 16,19 of the script code, we can see the conditions for this. In this case, better to use Kj=26 as it's closer to the concept of trend market.
Pine Script® indicator
by SuYan
Cloud, MA & BB Signal ConvergenceA combination of 3 popular lagging indicators (Ichimoku Cloud, Moving Average and Bollinger Bands) that generates a signal when all 3 of those lagging indicators are bullish or bearish. Bullish is represented with a green dot above price. Bearish is represented with a red dot below price. PARAMETERS: 1) Ichimoku Cloud -Bullish Kumo -Price above Kumo -Chikou span above price -Tenkan-sen and Kijun-sen above Kumo -Tenkan-sen above Kijun-sen -Price above Tenkan-sen *opposite for bearish Note: cloud settings is the popular settings for cryptocurrency advocated by @CarpeNoctom. 2) Moving Average -MA1 greater than MA2 -MA2 greater than MA3 -MA3 greater than MA4 -MA4 greater than MA5 *opposite for bearish Note: Put your MA setting from lowest to highest on MA1-MA5 respectively to generate more accurate signals. 3) Bollinger Bands -price closed above upper band at least once *opposite for bearish Note: Put your MA setting from lowest to highest on MA1-MA5 respectively to generate more accurate signals. P.S. Still on early alpha stage.
Pine Script® indicator
by reimadara
Relative Volume EMA (RVOL)Relative Volume EMA (RVOL) measures the current bar’s volume relative to its typical volume over a selected lookback period. It helps traders identify whether a price move is supported by real participation or if it’s occurring on weak, low-quality volume. This version uses: RVOL = Current Volume ÷ Volume EMA Volume EMA Length: adjustable Signal Threshold: a customizable horizontal line (default = 1.2) How to Use 1. RVOL > 1.2 → High-Quality Momentum A value above 1.2 indicates that the current bar has at least 20% more volume than normal, suggesting: Strong conviction Algorithmic activity Momentum-backed breakout or breakdown Higher probability trend continuation These bars are ideal for confirming entries after a technical setup (e.g., pullback, engulfing pattern, Ichimoku trend confirmation, etc.). 2. RVOL < 1.0 → Weak or Low-Quality Move When RVOL is below 1.0: Volume is below average Moves are more likely to fail or reverse Breakouts are unreliable Triggers lack institutional participation These bars are best avoided for trade entries. Why This Indicator Is Useful In many strategies, price alone is not enough. RVOL acts as a filter to ensure that your signals occur during times when the market is actually active and committed. Typical use cases: Confirm trend-following entries Validate pullbacks and breakout candles Filter out low-volume chop Identify session-based volume surges Improve risk-to-reward quality by entering only during true momentum Recommended Settings EMA Length: 20 Threshold Line: 1.2 Works well on Forex, Crypto, and Indices Best used on 15m, 30m, 1H, and 4H charts
Pine Script® indicator
by FXLoungeIN
Super momentum DBSISuper momentum DBSI: The Ultimate Guide 1. What is this Indicator? The Super momentum DBSI is a "Consensus Engine." Instead of relying on a single line (like an RSI) to tell you where the market is going, this tool calculates 33 distinct technical indicators simultaneously for every single candle. It treats the market like a democracy. It asks 33 mathematical "voters" (Momentum, Trend, Volume, Volatility) if they are Bullish or Bearish. If 30 out of 33 say "Buy," the score is high (Yellow), and the trend is extremely strong. If only 15 say "Buy," the score is low (Teal), and the trend is weak or choppy. 2. Visual Guide: How to Read the Numbers The Scores Top Number (Bears): Represents Selling Pressure. Bottom Number (Bulls): Represents Buying Pressure. The Colors (The Traffic Lights) The colors are your primary signal. They tell you who is currently winning the war. 🟡 YELLOW (Dominance): This indicates the Winning Side. If the Bottom Number is Yellow, Bulls are in control. If the Top Number is Yellow, Bears are in control. 🔴 RED (Weakness): This appears on the Top. It means Bears are present but losing. 🔵 TEAL (Weakness): This appears on the Bottom. It means Bulls are present but losing. 3. Trading Strategy Scenario A: The "Strong Buy" (Long Entry) The Setup: You are looking for a shift in momentum where Buyers overwhelm Sellers. Watch the Bottom Number: Wait for it to turn Yellow. Confirm Strength: Ensure the score is above 15 and rising (e.g., 12 → 18 → 22). Check the Top: The Top Number should be Red and low (below 10). Trigger: Enter on the candle close. Scenario B: The "Strong Sell" (Short Entry) The Setup: You are looking for Sellers to crush the Buyers. Watch the Top Number: Wait for it to turn Yellow. Confirm Strength: Ensure the score is above 15 and rising. Check the Bottom: The Bottom Number should be Teal and low. Trigger: Enter on the candle close. Scenario C: The "No Trade Zone" (Choppy Market) The Setup: The market is confused. Visual: Top is Red, Bottom is Teal. Meaning: NOBODY IS WINNING. There is no Yellow number. Action: Do not trade. This usually happens during lunch hours, weekends, or right before big news. This filter alone will save you from many false breakouts. 4. What is Inside? (The 33 Indicators) To give you confidence in the signals, here is exactly what the script is checking: Group 1: Momentum (Oscillators) Detects if price is moving fast. RSI (Relative Strength Index) CCI (Commodity Channel Index) Stochastic Williams %R Momentum Rate of Change (ROC) Ultimate Oscillator Awesome Oscillator True Strength Index (TSI) Stoch RSI TRIX Chande Momentum Oscillator Group 2: Trend Direction Detects the general path of the market. 13. MACD 14. Parabolic SAR 15. SuperTrend 16. ALMA (Moving Average) 17. Aroon 18. ADX (Directional Movement) 19. Coppock Curve 20. Ichimoku Conversion Line 21. Hull Moving Average Group 3: Price Action Detects where price is relative to averages. 22. Price vs EMA 20 23. Price vs EMA 50 24. Price vs EMA 200 Group 4: Volume & Force Detects if there is money behind the move. 25. Money Flow Index (MFI) 26. On Balance Volume (OBV) 27. Chaikin Money Flow (CMF) 28. VWAP (Intraday) 29. Elder Force Index 30. Ease of Movement Group 5: Volatility Detects if price is pushing the outer limits. 31. Bollinger Bands 32. Keltner Channels 33. Donchian Channels 5. Pro Tips for Success Don't Catch Knives: If the Bear score (Top) is Yellow and 25+, do not try to buy the dip. Wait for the Yellow score to break. Exit Early: If you are Long and the Yellow Bull score drops from 28 to 15 in one candle, TAKE PROFIT. The momentum has died. Use Higher Timeframes: This indicator works best on 15m, 1H, and 4H charts. On the 1m chart, it may be too volatile.
Pine Script® indicator
by TradBee
13
Lynie's V9 SELL🟢🔴 Lynie’s V8 — BUY & SELL (Mirrored, Interlocking System) Lynie’s V8 is a paired long/short engine built as two mirrored scripts—Lynie’s V8 BUY and Lynie’s V8 SELL—that read price the same way, flip conditions symmetrically, and manage trades with the exact logic on opposite sides. Use either one standalone or run both together for full two-sided automation of entries, re-entries, caution states, and adaptive SL/TP. ✳️ What “mirrored” means here Supertrend Tri-Stack (10/11/12): BUY: ST10 primary pierce; ST12 fallback; “PAG Buy” when price pierces any ST while above the other two. SELL: Exact inverse—ST10 primary pierce down; ST12 fallback; “PAG Sell” when price pierces any ST while below the other two. Re-Enter Clusters: BUY: Ratcheted up (Heikin-Ashi green holds/tightens). SELL: Ratcheted down (Heikin-Ashi red holds/tightens). Both sides use the same cluster age/decay math, care penalties, session awareness, and fast-candle tightening. Care Flags (context risk): Ichimoku, MACD, RSI combine into single and paired flags that tighten or widen offsets on both sides with the same scoring. VWAP–EMA50 (5m) cluster gate: Identical distance checks for BUY/SELL. When the mean cluster is present, offsets and labels adapt (tighter/“riskier scalp” messaging). Golden Pocket A/B/C (prev-day): Same fib boxes & labeling (gold tone) on both sides to call out TP-friendly zones. SL/TP Envelope: Shared dynamic engine: per-bar decay, fast-candle expansion, and care-based compress/relax—all mirrored for up/down. Caution Labels: BUY side prints CAUTION SELL if HA flips red inside an active long cluster. SELL side prints CAUTION BUY if HA flips green inside an active short cluster. Same latching & auto-release behavior. 🧠 Core workflow (both sides) Primary trigger via ST10 pierce (structure shift) with an ST12 fallback when ST10 didn’t qualify. PAG Mode when price is already on the right side of the other two STs—strongest conviction. Cluster phase begins after a signal: ratcheted re-entry level, session-aware offsets, dynamic tightening on fast bars. Care system shapes every re-entry & SL/TP label (Ichi/MACD/RSI combos + VWAP/EMA gate + QQE). Protective layer: SL-wick and SL-body logic, caution flips, and “hold 1 bar” cluster carry after SL to avoid whipsaw spam. 🔎 Labels & messages (shared vocabulary) Lynie’s / Lynie’s+ / Lynie’s++ — strength tiers (ST12 involvement & clean context). Re-Enter / Excellent Re-Enter — cluster pullback quality; ratchet shows the “must-hold” zone. SL&TP (n) — live offset multiplier the engine is using right now. CAUTION BUY / CAUTION SELL — HA flip against the active side inside the cluster. Restart Next Candle — visual cue to re-arm after a confirmed signal bar. ⚡ Why run both together Continuity: When a long cycle ends (SL or caution degradation), the SELL engine is already tracking the inverse without re-tuning. Symmetry: Same math, same signals, opposite direction—no hidden biases. Coverage: Trend hand-offs are cleaner; you don’t miss early shorts after a long fade (and vice versa). 🔧 Recommended usage Intraday futures (ES/NQ) or any liquid market. Keep the VWAP–EMA cluster ON; it filters FOMO chases. Honor Caution flips inside cluster—scale down or wait for the next clean re-enter. Treat Golden Zones as TP magnets, not guaranteed reversals. 📌 Notes Both scripts are Pine v6 and independent. Load BUY and SELL together for the full experience. All offsets (re-enter & SL/TP) are visible in labels—so you always know why a zone is where it is. Alerts are provided for signals, re-enter hits, caution, and SL events on both sides. Summary: Lynie’s V8 BUY & SELL are vice-versa twins—one framework, two directions—delivering consistent entries, adaptive re-entries, and contextual risk management whether the market is pressing up or breaking down.
Pine Script® indicator
by CoderPAG
Advanced Multi-Timeframe Trend & Signal System═══════════════════════════════════════════════════════════════ ADVANCED MULTI-TIMEFRAME TREND & SIGNAL SYSTEM v1.0 ═══════════════════════════════════════════════════════════════ Created by: Zakaria Safri License: Mozilla Public License 2.0 A comprehensive technical analysis tool designed for traders seeking multi-dimensional market insights. This indicator combines proven technical analysis methods with modern visualization techniques. ═══════════════════════════════════════════════════════════════ KEY FEATURES ═══════════════════════════════════════════════════════════════ ✓ SUPERTREND SIGNAL GENERATION - Customizable sensitivity settings - Clear long/short entry signals - Automatic trend direction detection - ATR-based dynamic calculations ✓ MULTI-TIMEFRAME DASHBOARD - Real-time trend analysis across 6 timeframes - Synchronized trend confirmation - Customizable table position and size - Current: 1M, 5M, 15M, 1H, 1D coverage ✓ QQE REVERSAL DETECTION - Quantitative Qualitative Estimation algorithm - Early reversal signal identification - Adjustable RSI and smoothing parameters - Confirmation-based plotting ✓ DYNAMIC SUPPORT & RESISTANCE - Pivot-based level calculation - Quick and standard pivot detection - Color-coded zones (8 levels) - Automatic level updates ✓ MOMENTUM BREAKOUT SIGNALS - Ichimoku-inspired calculations - Bullish and bearish breakout detection - Visual zone highlighting - Trend confirmation filters ✓ RISK MANAGEMENT SYSTEM - ATR-based stop loss calculation - Multiple take profit targets (TP1, TP2, TP3) - Customizable risk-to-reward ratios - Dynamic price level tracking - Hit detection markers ✓ VOLATILITY BANDS - Keltner Channel implementation - Multiple band layers (3 levels) - EMA-based calculations - Adaptive to market conditions ✓ TREND CLOUD VISUALIZATION - Dual moving average cloud - Clear trend direction indication - Customizable color scheme - Trend bar coloring ═══════════════════════════════════════════════════════════════ HOW TO USE ═══════════════════════════════════════════════════════════════ SETUP: 1. Add indicator to your chart 2. Configure sensitivity in Core Signals section 3. Enable desired features (signals, reversals, breakouts) 4. Set up risk management levels if trading 5. Position MTF dashboard to preference SIGNAL INTERPRETATION: • LONG Signal: Price crosses above Supertrend • SHORT Signal: Price crosses below Supertrend • REV (Reversal): QQE indicates potential trend change • Diamond Breakouts: Momentum shift confirmation • T1/T2/T3: Take profit level hits MULTI-TIMEFRAME ANALYSIS: • Green (BULL): Higher timeframe supports uptrend • Red (BEAR): Higher timeframe supports downtrend • Use for trend alignment and confirmation • Best results when multiple timeframes align RISK MANAGEMENT: • Enable Stop Loss for automatic SL calculation • Activate TP levels based on trading style • Adjust Risk-to-Reward ratio (1:1 to 1:10) • Monitor hit detection circles for exits ═══════════════════════════════════════════════════════════════ TECHNICAL SPECIFICATIONS ═══════════════════════════════════════════════════════════════ CALCULATIONS: • Supertrend: ATR-based with customizable multiplier • QQE: Modified RSI with Wilders smoothing • Keltner Channels: EMA basis with ATR bands • Pivots: Standard left/right bar methodology • Support/Resistance: Multi-level pivot analysis PARAMETERS: • Supertrend Sensitivity: 0.5 to 10.0 (default: 2.0) • RSI Period: 5 to 50 (default: 14) • QQE Multiplier: 1.0 to 10.0 (default: 4.238) • Risk-to-Reward: 1 to 10 (default: 4) TIMEFRAMES: Compatible with all timeframes. MTF dashboard displays: • 1 Minute (1M) • 5 Minutes (5M) • 15 Minutes (15M) • 1 Hour (1H) • 1 Day (1D) • Current chart timeframe ═══════════════════════════════════════════════════════════════ CUSTOMIZATION OPTIONS ═══════════════════════════════════════════════════════════════ VISUAL: • Professional color scheme (Cyan/Orange) • Adjustable table position (9 positions) • Table size options (tiny/small/normal/large) • Transparent zone highlighting • Clean, modern label design TOGGLES: • Enable/disable any feature independently • Show/hide signals, reversals, breakouts • Toggle S/R levels and zones • Control trend cloud and bands • Master trend line optional ALERTS: The indicator provides visual signals that can be used with TradingView's alert system by setting alerts on the indicator. ═══════════════════════════════════════════════════════════════ BEST PRACTICES ═══════════════════════════════════════════════════════════════ ✓ Combine signals for higher probability setups ✓ Use MTF dashboard for trend confirmation ✓ Respect S/R levels for entry/exit planning ✓ Monitor QQE reversals at key price levels ✓ Adjust sensitivity based on asset volatility ✓ Test on demo/paper trading first ✓ Use proper risk management always ═══════════════════════════════════════════════════════════════ IMPORTANT DISCLAIMER ═══════════════════════════════════════════════════════════════ This indicator is a technical analysis tool and does NOT: • Guarantee profitable trades • Provide financial advice • Predict future price movements with certainty • Replace proper risk management • Substitute for personal due diligence Past performance does not indicate future results. All trading involves risk. Users should: - Understand the indicator's logic - Test thoroughly before live trading - Use appropriate position sizing - Never risk more than they can afford to lose - Consult financial advisors if needed ═══════════════════════════════════════════════════════════════ CODING STANDARDS ═══════════════════════════════════════════════════════════════ This indicator follows PineCoders Coding Conventions: ✓ Proper variable naming (prefixes: i_, f_, c_) ✓ Clear function documentation ✓ Organized code structure ✓ Type declarations ✓ Efficient calculations ✓ No repainting (confirmed signals) ✓ Proper use of request.security ═══════════════════════════════════════════════════════════════ SUPPORT & UPDATES ═══════════════════════════════════════════════════════════════ Version: 1.0 Author: Zakaria Safri License: MPL 2.0 Last Updated: 2024 For questions, feedback, or suggestions, please comment below. ═══════════════════════════════════════════════════════════════ #trading #signals #supertrend #multiTimeframe #QQE #reversals #supportResistance #riskManagement #trendAnalysis #momentum
Pine Script® indicator
by zakariasafri47
11
Forecast PriceTime Oracle [CHE] Forecast PriceTime Oracle — Prioritizes quality over quantity by using Power Pivots via RSI %B metric to forecast future pivot highs/lows in price and time Summary This indicator identifies potential pivot highs and lows based on out-of-bounds conditions in a modified RSI %B metric, then projects future occurrences by estimating time intervals and price changes from historical medians. It provides visual forecasts via diagonal and horizontal lines, tracks achievement with color changes and symbols, and displays a dashboard for statistical overview including hit rates. Signals are robust due to median-based aggregation, which reduces outlier influence, and optional tolerance settings for near-misses, making it suitable for anticipating reversals in ranging or trending markets. Motivation: Why this design? Standard pivot detection often lags or generates false signals in volatile conditions, missing the timing of true extrema. This design leverages out-of-bounds excursions in RSI %B to capture "Power Pivots" early—focusing on quality over quantity by prioritizing significant extrema rather than every minor swing—then uses historical deltas in time and price to forecast the next ones, addressing the need for proactive rather than reactive analysis. It assumes that pivot spacing follows statistical patterns, allowing users to prepare entries or exits ahead of confirmation. What’s different vs. standard approaches? - Reference baseline: Diverges from traditional ta.pivothigh/low, which require fixed left/right lengths and confirm only after bars close, often too late for dynamic markets. - Architecture differences: - Detects extrema during OOB runs rather than post-bar symmetry. - Aggregates deltas via medians (or alternatives) over a user-defined history, capping arrays to manage resources. - Applies tolerance thresholds for hit detection, with options for percentage, absolute, or volatility-adjusted (ATR) flexibility. - Freezes achieved forecasts with visual states to avoid clutter. - Practical effect: Charts show proactive dashed projections instead of retrospective dots; the dashboard reveals evolving hit rates, helping users gauge reliability over time without manual calculation. How it works (technical) The indicator first computes a smoothed RSI over a specified length, then applies Bollinger Bands to derive %B, flagging out-of-bounds below zero or above one hundred as potential run starts. During these runs, it tracks the extreme high or low price and bar index. Upon exit from the OOB state, it confirms the Power Pivot at that extreme and records the time delta (bars since prior) and price change percentage to rolling arrays. For forecasts, it calculates the median (or selected statistic) of recent deltas, subtracts the confirmation delay (bars from apex to exit), and projects ahead by that adjusted amount. Price targets use the median change applied to the origin pivot value. Lines are drawn from the apex to the target bar and price, with a short horizontal at the endpoint. Arrays store up to five active forecasts, pruning oldest on overflow. Tolerance adjusts hit checks: for highs, if the high reaches or exceeds the target (adjusted by tolerance); for lows, if the low drops to or below. Once hit, the forecast freezes, changing colors and symbols, and extends the horizontal to the hit bar. Persistent variables maintain last pivot states across bars; arrays initialize empty and grow until capped at history length. Parameter Guide Source: Specifies the data input for the RSI computation, influencing how price action is captured. Default is close. For conservative signals in noisy environments, switch to high; using low boosts responsiveness but may increase false positives. RSI Length: Sets the smoothing period for the RSI calculation, with longer values helping to filter out whipsaws. Default is 32. Opt for shorter lengths like 14 to 21 on faster timeframes for quicker reactions, or extend to 50 or more in strong trends to enhance stability at the cost of some lag. BB Length: Defines the period for the Bollinger Bands applied to %B, directly affecting how often out-of-bounds conditions are triggered. Default is 20. Align it with the RSI length: shorter periods detect more potential runs but risk added noise, while longer ones provide better filtering yet might overlook emerging extrema. BB StdDev: Controls the multiplier for the standard deviation in the bands, where wider settings reduce false out-of-bounds alerts. Default is 2.0. Narrow it to 1.5 for highly volatile assets to catch more signals, or broaden to 2.5 or higher to emphasize only major movements. Show Price Forecast: Enables or disables the display of diagonal and target lines along with their updates. Default is true. Turn it off for simpler chart views, or keep it on to aid in trade planning. History Length: Determines the number of recent pivot samples used for median-based statistics, where more history leads to smoother but potentially less current estimates. Default is 50. Start with a minimum of 5 to build data; limit to 100 to 200 to prevent outdated regimes from skewing results. Max Lookahead: Limits the number of bars projected forward to avoid overly extended lines. Default is 500. Reduce to 100 to 200 for intraday focus, or increase for longer swing horizons. Stat Method: Selects the aggregation technique for time and price deltas: Median for robustness against outliers, Trimmed Mean (20%) for a balanced trim of extremes, or 75th Percentile for a conservative upward tilt. Default is Median. Use Median for even distributions; switch to Percentile when emphasizing potential upside in trending conditions. Tolerance Type: Chooses the approach for flexible hit detection: None for exact matches, Percentage for relative adjustments, Absolute for fixed point offsets, or ATR for scaling with volatility. Default is None. Begin with Percentage at 0.5 percent for currency pairs, or ATR for adapting to cryptocurrency swings. Tolerance %: Provides the relative buffer when using Percentage mode, forgiving small deviations. Default is 0.5. Set between 0.2 and 1.0 percent; higher values accommodate gaps but can overstate hit counts. Tolerance Points: Establishes a fixed offset in price units for Absolute mode. Default is 0.0010. Tailor to the asset, such as 0.0001 for forex pairs, and validate against past wick behavior. ATR Length: Specifies the period for the Average True Range in dynamic tolerance calculations. Default is 14. This is the standard setting; shorten to 10 to reflect more recent volatility. ATR Multiplier: Adjusts the ATR scale for tolerance width in ATR mode. Default is 0.5. Range from 0.3 for tighter precision to 0.8 for greater leniency. Dashboard Location: Positions the summary table on the chart. Default is Bottom Right. Consider Top Left for better visibility on mobile devices. Dashboard Size: Controls the text scaling for dashboard readability. Default is Normal. Choose Tiny for dense overlays or Large for detailed review sessions. Text/Frame Color: Sets the color scheme for dashboard text and borders. Default is gray. Align with your chart theme, opting for lighter shades on dark backgrounds. Reading & Interpretation Forecast lines appear as dashed diagonals from confirmed pivots to projected targets, with solid horizontals at endpoints marking price levels. Open targets show a target symbol (🎯); achieved ones switch to a trophy symbol (🏆) in gray, with lines fading to gray. The dashboard summarizes median time/price deltas, sample counts, and hit rates—rising rates indicate improving forecast alignment. Colors differentiate highs (red) from lows (lime); frozen states signal validated projections. Practical Workflows & Combinations - Trend following: Enter long on low forecast hits during uptrends (higher highs/lower lows structure); filter with EMA crossovers to ignore counter-trend signals. - Reversal setups: Short above high projections in overextended rallies; use volume spikes as confirmation to reduce false breaks. - Exits/Stops: Trail stops to prior pivot lows; conservative on low hit rates (below 50%), aggressive above 70% with tight tolerance. - Multi-TF: Apply on 1H for entries, 4H for time projections; combine with Ichimoku clouds for confluence on targets. - Risk management: Position size inversely to delta uncertainty (wider history = smaller bets); avoid low-liquidity sessions. Behavior, Constraints & Performance Confirmation occurs on OOB exit, so live-bar pivots may adjust until close, but projections update only on events to minimize repaint. No security or HTF calls, so no external lookahead issues. Arrays cap at history length with shifts; forecasts limited to five active, pruning FIFO. Loops iterate over small fixed sizes (e.g., up to 50 for stats), efficient on most hardware. Max lines/labels at 500 prevent overflow. Known limits: Sensitive to OOB parameter tuning—too tight misses runs; assumes stationary pivot stats, which may shift in regime changes like low vol. Gaps or holidays distort time deltas. Sensible Defaults & Quick Tuning Defaults suit forex/crypto on 1H–4H: RSI 32/BB 20 for balanced detection, Median stats over 50 samples, None tolerance for exactness. - Too many false runs: Increase BB StdDev to 2.5 or RSI Length to 50 for filtering. - Lagging forecasts: Shorten History Length to 20; switch to 75th Percentile for forward bias. - Missed near-hits: Enable Percentage tolerance at 0.3% to capture wicks without overcounting. - Cluttered charts: Reduce Max Lookahead to 200; disable dashboard on lower TFs. What this indicator is—and isn’t This is a forecasting visualization layer for pivot-based analysis, highlighting statistical projections from historical patterns. It is not a standalone system—pair with price action, volume, and risk rules. Not predictive of all turns; focuses on OOB-derived extrema, ignoring volume or news impacts. Disclaimer The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context. Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved. By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk. Do not use this indicator on Heikin-Ashi, Renko, Kagi, Point-and-Figure, or Range charts, as these chart types can produce unrealistic results for signal markers and alerts. Best regards and happy trading Chervolino
Pine Script® indicator
by chervolino
[ZP] Fixed v6 testDISCLAIMER: This indicator in Pine V6 as my first ever Tradingview indicator, has been developed for my personal trading analysis, consolidating various powerful indicators that I frequently use. A number of the embedded indicators within this tool are the creations of esteemed Pine Script developers from the TradingView community. In recognition of their contributions, the names of these developers will be prominently displayed alongside the respective indicator names. My selection of these indicators is rooted in my own experience and reflects those that have proven most effective for me. Please note that the past performance of any trading system or methodology is not necessarily indicative of future results. Always conduct your own research and due diligence before using any indicator or tool. =========================================================================== Introducing the ultimate all-in-one DIY strategy builder indicator, With over 30+ famous indicators (some with custom configuration/settings) indicators included, you now have the power to mix and match to create your own custom strategy for shorter time or longer time frames depending on your trading style. Say goodbye to cluttered charts and manual/visual confirmation of multiple indicators and hello to endless possibilities with this indicator. Available indicators that you can choose to build your strategy, are coded to seamlessly print the BUY and SELL signal upon confirmation of all selected indicators: EMA Filter 2 EMA Cross 3 EMA Cross Range Filter (Guikroth) SuperTrend Ichimoku Cloud SuperIchi (LuxAlgo) B-Xtrender (QuantTherapy) Bull Bear Power Trend (Dreadblitz) VWAP BB Oscillator (Veryfid) Trend Meter (Lij_MC) Chandelier Exit (Everget) CCI Awesome Oscillator DMI ( Adx ) Parabolic SAR Waddah Attar Explosion (Shayankm) Volatility Oscillator (Veryfid) Damiani Volatility ( DV ) (RichardoSantos) Stochastic RSI MACD SSL Channel (ErwinBeckers) Schaff Trend Cycle ( STC ) (LazyBear) Chaikin Money Flow Volume Wolfpack Id (Darrellfischer1) QQE Mod (Mihkhel00) Hull Suite (Insilico) Vortex Indicator
Pine Script® indicator
by Justas123
10
Trend Bars with Okuninushi Line Filter# Trend Bars with Okuninushi Line Filter: A Powerful Trading Indicator ## Introduction The **Trend Bars with Okuninushi Line Filter** is an innovative technical indicator that combines two powerful concepts: trend bar analysis and the Okuninushi Line filter. This indicator helps traders identify high-quality trending moves by analyzing candle body strength relative to the overall price range while ensuring the price action aligns with the dominant market structure. ## What Are Trend Bars? Trend bars are candles where the body (distance between open and close) represents a significant portion of the total price range (high to low). These bars indicate strong directional momentum with minimal indecision, making them valuable signals for trend continuation. ### Key Characteristics: - **Strong directional movement**: Large body relative to total range - **Minimal upper/lower shadows**: Shows sustained pressure in one direction - **High conviction**: Represents decisive market action ## The Okuninushi Line Filter The Okuninushi Line, also known as the Kijun Line in Ichimoku analysis, is calculated as the midpoint of the highest high and lowest low over a specified period (default: 52 periods). **Formula**: `(Highest High + Lowest Low) / 2` This line acts as a dynamic support/resistance level and trend filter, helping to: - Identify the overall market bias - Filter out counter-trend signals - Provide confluence for trade entries ## How the Indicator Works The indicator combines these two concepts with the following logic: ### Bull Trend Bars (Green) A candle is colored **green** when ALL conditions are met: 1. **Bullish candle**: Close > Open 2. **Strong body**: |Close - Open| ≥ Threshold × (High - Low) 3. **Above trend filter**: Close > Okuninushi Line ### Bear Trend Bars (Red) A candle is colored **red** when ALL conditions are met: 1. **Bearish candle**: Close < Open 2. **Strong body**: |Close - Open| ≥ Threshold × (High - Low) 3. **Below trend filter**: Close < Okuninushi Line ### Neutral Bars (Gray) All other candles that don't meet the complete criteria are colored **gray**. ## Customizable Parameters ### Trend Bar Threshold - **Range**: 10% to 100% - **Default**: 75% - **Purpose**: Controls how "strong" a candle must be to qualify as a trend bar **Threshold Effects:** - **Low (10-30%)**: More sensitive, catches smaller trending moves - **Medium (50-75%)**: Balanced approach, filters out most noise - **High (80-100%)**: Very selective, only captures the strongest moves ### Okuninushi Line Length - **Default**: 52 periods - **Purpose**: Determines the lookback period for calculating the midpoint - **Common Settings**: - 26 periods: More responsive to recent price action - 52 periods: Standard setting, good balance - 104 periods: Longer-term trend perspective ## Trading Applications ### 1. Trend Continuation Signals - **Green bars**: Look for bullish continuation opportunities - **Red bars**: Consider bearish continuation setups - **Gray bars**: Exercise caution, mixed signals ### 2. Market Structure Analysis - Clusters of same-colored bars indicate strong trends - Alternating colors suggest choppy, indecisive markets - Transition from red to green (or vice versa) may signal trend changes ### 3. Entry Timing - Use colored bars as confirmation for existing trade setups - Wait for color alignment with your market bias - Avoid trading during predominantly gray periods ### 4. Risk Management - Gray bars can serve as early warning signs of weakening trends - Color changes might indicate appropriate exit points - Use in conjunction with other risk management tools ## Advantages 1. **Dual Filtering**: Combines momentum (trend bars) with trend direction (Okuninushi Line) 2. **Visual Clarity**: Immediate visual feedback through candle coloring 3. **Customizable**: Adjustable parameters for different trading styles 4. **Versatile**: Works across multiple timeframes and instruments 5. **Objective**: Rule-based system reduces subjective interpretation ## Limitations 1. **Lagging Nature**: Based on historical price data 2. **False Signals**: Can produce whipsaws in choppy markets 3. **Parameter Sensitivity**: Requires optimization for different instruments 4. **Market Conditions**: May be less effective in ranging markets ## Best Practices ### Optimization Tips: - **Volatile Markets**: Use higher thresholds (80-90%) - **Steady Trends**: Use moderate thresholds (60-75%) - **Short-term Trading**: Shorter Okuninushi Line periods (26) - **Long-term Analysis**: Longer Okuninushi Line periods (104+) ### Combination Strategies: - Pair with volume indicators for confirmation - Use alongside support/resistance levels - Combine with other trend-following indicators - Consider market context and overall trend direction ## Conclusion The Trend Bars with Okuninushi Line Filter offers traders a sophisticated yet intuitive way to identify high-quality trending moves. By combining the momentum characteristics of trend bars with the directional filter of the Okuninushi Line, this indicator helps traders focus on the most promising opportunities while avoiding low-probability setups. Remember that no single indicator should be used in isolation. Always consider market context, risk management, and other technical factors when making trading decisions. The true power of this indicator lies in its ability to quickly highlight periods of strong, aligned price action – exactly what trend traders are looking for. --- *Disclaimer: This article is for educational purposes only and should not be considered as financial advice. Always conduct your own research and consider your risk tolerance before making any trading decisions.*
Pine Script® indicator
by YAMAGUCHI-KUNI
Swing Guardrail — 30-sec Midterm Check (EBITDA Margin & EV/EBITDWhat it does Before a short-term swing entry, this indicator right-sizes positions by a quick midterm (3–12m) durability screen using two fundamentals: EBITDA Margin (TTM) → earning power / operational resilience EV/EBITDA (TTM) → price tag vs earning capacity (payback feel) A high-contrast table (top-right) shows both metrics and a verdict: PASS — both meet thresholds → normal size HALF — only one meets → reduce size FAIL — neither meets → avoid Why check “midterm” for a short-term trade? Short swings still face earnings/news gaps, failed breakouts, and regime shifts. Names with weak margins or stretched valuation tend to break faster and deeper. A 30-sec durability check helps you: Filter fragile setups (avoid expensive + weakening names) Stabilize drawdowns (size down when quality/price don’t align) Keep timing unchanged while improving risk-adjusted returns Inputs (defaults) Min EBITDA Margin % (TTM): 8% Max EV/EBITDA (TTM): 12 Dark chart? High-contrast colors How to use with a swing system Get your entry from price/volume (e.g., Ichimoku cloud break, Kijun reclaim, Tenkan>Kijun; or your A/B/C rules). Run this check only to set size (not timing). Optional alerts: Once per bar close for PASS / HALF / FAIL. Size mapping & event guard PASS → 100% of your planned size HALF → ~50% size / tighter stops FAIL → watchlist only If earnings < ~10 JP business days, drop one tier; ≤3 days → avoid. Sector guides (tweak as needed) Software/Internet: Margin ≥ 15%, EV/EBITDA ≤ 18 Industrials/Consumer: Margin ≥ 8%, EV/EBITDA ≤ 12 Retail: Margin ≥ 5–7%, EV/EBITDA ≤ 10–12 Edge cases / substitutions Banks/Insurers/REITs or net-cash/negative EBITDA: EV/EBITDA may mislead → consider Net Debt/EBITDA or sector metrics (CET1/LTV/DSCR). Sparse data / fresh listings: numbers may be NA until updates. Notes & limitations Data via request.financial() (TTM/most-recent). Some tickers/regions can show NA until fundamentals refresh. This is a risk-screen / sizing tool, not a buy/sell signal. Disclaimer Educational use only. Not investment advice. 日本語 タイトル スイング用ガードレール―中期“壊れにくさ”30秒チェック（EBITDAマージン & EV/EBITDA, TTM） 概要 短期スイングのエントリー前に、中期（3〜12か月）の耐久性を2指標で素早く確認し、ポジションサイズを決めるためのツールです。 EBITDAマージン（TTM）：事業の稼ぐ力・体力 EV/EBITDA（TTM）：その体力に対する“値札”（回収年数の感覚） 右上の高コントラスト表に数値と判定を表示： PASS：両方クリア → 通常サイズ HALF：片方のみ → サイズ半分 FAIL：両方NG → 見送り なぜ短期でも“中期”を確認？ 短期でも決算・ニュースのギャップ、ブレイク失敗、地合い転換は起きます。マージンが弱い／割高すぎる銘柄は崩れやすく、戻りも鈍い傾向。30秒の耐久性チェックで 脆いセットアップを回避 ドローダウンを平準化（サイズで吸収） タイミングは変えずに、リスク調整後リターンの改善を狙えます。 入力（既定） 最低EBITDAマージン：8% 最大EV/EBITDA：12 黒背景向け：高コントラスト表示 使い方（スイング手法と併用） まずは価格シグナル（一目の雲上抜け／基準線回復／転換線>基準線、またはA/B/Cルール）。 本インジの判定でサイズのみ決定（エントリーのタイミングは出しません）。 任意でバー確定アラート（PASS/HALF/FAIL）を設定。 サイズ目安 & イベント抑制 PASS：計画サイズ100% HALF：約50%（ストップもタイトに） FAIL：見送り 決算まで≦10営業日なら1段階サイズダウン、≦3営業日は原則見送り。 セクター目安（調整推奨） ソフト/ネット：マージン 15%以上、EV/EBITDA 18以下 工業/一般消費：マージン 8%以上、EV/EBITDA 12以下 小売：マージン 5〜7%以上、EV/EBITDA 10〜12以下 例外・代替 銀行・保険・REIT／ネットキャッシュ・EBITDAマイナス：EV/EBITDAは適さない場合 → Net Debt/EBITDAやCET1/LTV/DSCR等で補助。 新規上場・データ薄：更新までNAのことあり。 注意 データは request.financial() を使用。更新前はNAの可能性。 本ツールはリスク確認／サイズ調整用で、売買シグナルではありません。 免責 情報提供のみ。投資判断は自己責任で。
Pine Script® indicator
by zukinkun
Trend Continuation Filter - 🚀 Trend Continuation Filter — Multi-Factor Overlay This overlay plots bullish / bearish continuation labels & arrows only when the market has enough confluence behind the move. Think of it as your “trend gatekeeper” — cutting out weak setups and highlighting only those with real momentum + structure. 🔍 Built-in Filters ✔ Ichimoku Cloud → trend bias + Tenkan/Kijun confirmation ✔ MACD (12/26/9) → acceleration via histogram slope ✔ RSI / MFI (14) → momentum quality (≥60 bullish / ≤40 bearish) ✔ ADX (14) → strength check (≥20 and rising) ➕ EMA Alignment (9/21/55/233) (optional) ➕ ATR Slope (14) (optional) 🎯 How it works ✅ Prints a Bull Continuation label/arrow when ≥4 filters align to the upside ✅ Prints a Bear Continuation label/arrow when ≥4 filters align to the downside ⚙️ minChecks input lets you adjust the strictness: • Normal Days → set to 4 (more frequent, flexible) • Trend Days → raise to 5–6 (fewer, high-conviction setups) 📈 Best Practices ⏰ Focus on London & New York sessions for clean expectancy 🧩 Pair with a HUD/Dashboard panel to see exactly which filters are active
Pine Script® indicator
by Tradebeast911
T-Virus Sentiment [hapharmonic]🧬 T-Virus Sentiment: Visualize the Market's DNA Remember the iconic T-Virus vial from the first Resident Evil? That powerful, swirling helix of potential has always fascinated me. It sparked an idea: what if we could visualize the market's underlying health in a similar way? What if we could capture the "genetic code" of market sentiment and contain it within a dynamic, 3D indicator? This project is the result of that idea, brought to life with Pine Script. The indicator's main goal is to measure the strength and direction of market sentiment by analyzing the "genetic code" of price action through a variety of trusted indicators. The result is displayed as a liquid level within a DNA helix, a bubble density representing buying pressure, and a T-Virus mascot that reflects the overall mood. 🧐 Core Concept: How It Works The primary output of the indicator is the "Active %" gauge you see on the right side of the vial. This percentage represents the overall sentiment score, calculated as an average from 7 different technical analysis tools. Each tool is analyzed on every bar and assigned a score from 1 (strong bearish pressure) to 5 (strong bullish potential). In this indicator, we re-imagine market dynamics through the lens of a viral outbreak. A strong bear market is like a virus taking hold, pulling all technical signals down into a state of weakness. Conversely, a powerful bull market is like an antiviral serum ; positive signals rise and spread toward the top of the vial, indicating that the system is being injected with strength. This is not just another line on a chart. It's a comprehensive sentiment dashboard designed to give an immediate, at-a-glance understanding of the confluence between 7 classic technical indicators. The incredible 3D model of the vial itself was inspired by a design concept found here . ⚛️ The 4 Core Elements of T-Virus Sentiment These four elements work in harmony to give a complete, multi-faceted picture of market sentiment. Each component tells a different part of the story. The Virus Mascot: An instant emotional cue. This character provides the quickest possible read on the overall market mood, combining sentiment with volume pressure. The Antiviral Serum Level: The main quantitative output. This is the liquid level in the DNA helix and the percentage gauge on the right, representing the average sentiment score from all 7 indicators. Buy Pressure & Bubble Density: This visualizes volume flow. The density of bubbles represents the intensity of accumulation (buying) versus distribution (selling). It's the "power" behind the move. The Signal Distribution: This shows the confluence (or dispersion) of sentiment. Are all signals bullish and clustered at the top, or are they scattered, indicating a conflicted market? The position of the indicator labels is crucial, as each is assigned to one of five distinct zones: Base Bottom: The market is at its weakest. Signals here suggest strong bearish control and distribution. Lower Zone: The market is still bearish, but signals may be showing early signs of accumulation or bottoming. Neutral Core (Center): A state of balance or sideways consolidation. The market is waiting for a new direction. Upper Zone: Bullish momentum is becoming clear. Signals are strengthening and showing bullish control. Top Cap: The market is "heating up" with strong bullish sentiment, potentially nearing overbought conditions. 🐂🐻 The Virus Mascot: The At-a-Glance Indicator This character acts as a shortcut to confirm market health. It combines the sentiment score with volume, preventing false confidence in a low-volume rally. Its state is determined by a dual-check: the overall "Antiviral Serum Level" and the "Buy Pressure" must both be above 50%. Green & Smiling: The 'all clear' signal. This means that not only is the overall technical sentiment bullish, but it's also being supported by real buying pressure. This is a sign of a healthy bull market. Red & Angry: A warning sign. This appears if either the sentiment is weak, or a bullish sentiment is not being confirmed by buying volume. The latter could indicate a potential "bull trap" or an exhaustive move. This mascot can be disabled from the settings page under "Virus Mascot Styling" if a cleaner look is preferred. 🫧 Bubble Density: Gauging Buy vs. Sell Pressure The bubbles visualize the battle between buyers and sellers. There are two modes to control how this is calculated: Mode 1: Visible Range (The 'Big Picture' View) This default mode is best for getting a broad, contextual understanding of the current session. It dynamically analyzes the volume of every single candlestick currently visible on the screen to calculate the buy/sell pressure ratio. It answers the question: "Over the entire period I'm looking at, who is in control?" As you zoom in or out, the calculation adapts. Mode 2: Custom Lookback (The 'Precision' View) This mode is for traders who need to analyze short-term pressure. You can define a fixed number of recent bars to analyze, which is perfect for scalping or understanding the volume dynamics leading into a key level. It answers the question: "What is happening right now ?" In the example above, a lookback of 2 focuses only on the most recent action, clearly showing intense, immediate selling pressure (few bubbles) and a corresponding drop in the sentiment score to 29%. ℹ️ Interactive Tooltips: Dive Deeper We believe in transparency, not 'black box' indicators. This feature transforms the indicator from a visual aid into an active learning tool. Simply hover the mouse over any indicator label (like EMA, OBV, etc.) to get a detailed tooltip. It will explain the specific data points and thresholds that signal met to be placed in its current zone. This helps build trust in the signals and allows users to fine-tune the indicator settings to better match their own trading style. 🎯 The Scoring Logic Breakdown The "Antiviral Serum Level" gauge is the average score from 7 technical analysis tools. Each is graded on a 5-point scale (1=Strong Bearish to 5=Strong Bullish). Here’s a detailed, transparent look at how each "gene" is evaluated: Relative Strength Index (RSI) Measures momentum and overbought/oversold conditions. Group 1 (Strong Bearish): RSI > 80 (Extreme Overbought) Group 2 (Bearish): 70 < RSI ≤ 80 (Overbought) Group 3 (Neutral): 30 ≤ RSI ≤ 70 Group 4 (Bullish): 20 ≤ RSI < 30 (Oversold) Group 5 (Strong Bullish): RSI < 20 (Extreme Oversold) Exponential Moving Averages (EMA) Evaluates the trend's strength and structure based on the alignment of multiple EMAs (9, 21, 50, 100, 200, 250). Group 1 (Strong Bearish): A perfect bearish sequence (9 < 21 < 50 < ...) Group 2 (Bearish Transition): Early signs of a potential reversal (e.g., 9 > 21 but still below 50) Group 3 (Neutral / Mixed): MAs are intertwined or showing a partial bullish sequence. Group 4 (Bullish): A strong bullish sequence is forming (e.g., 9 > 21 > 50 > 100) Group 5 (Strong Bullish): A perfect bullish sequence (9 > 21 > 50 > 100 > 200 > 250) Moving Average Convergence Divergence (MACD) Analyzes the relationship between two moving averages to gauge momentum. Group 1 (Strong Bearish): MACD & Histogram are negative and momentum is falling. Group 2 (Weakening Bearish): MACD is negative but the histogram is rising or positive. Group 3 (Neutral / Crossover): A crossover event is occurring near the zero line. Group 4 (Bullish): MACD & Histogram are positive. Group 5 (Strong Bullish): MACD & Histogram are positive, rising strongly, and accelerating. Average Directional Index (ADX) Measures trend strength, not direction. The score is based on both ADX value and the dominance of DI+ vs DI-. Group 1 (Bearish / No Trend): ADX < 20 and DI- is dominant. Group 2 (Developing Bearish Trend): 20 ≤ ADX < 25 and DI- is dominant. Group 3 (Neutral / Indecision): Trend is weak or DI+ and DI- are nearly equal. Group 4 (Developing Bullish Trend): 25 ≤ ADX ≤ 40 and DI+ is dominant. Group 5 (Strong Bullish Trend): ADX > 40 and DI+ is dominant. Ichimoku Cloud (IKH) A comprehensive indicator that defines support/resistance, momentum, and trend direction. Group 1 (Strong Bearish): Price is below the Kumo, Tenkan < Kijun, and Chikou is below price. Group 2 (Bearish): Price is inside or below the Kumo, with mixed secondary signals. Group 3 (Neutral / Ranging): Price is inside the Kumo, often with a Tenkan/Kijun cross. Group 4 (Bullish): Price is above the Kumo with strong primary signals. Group 5 (Strong Bullish): All signals are aligned bullishly: price above Kumo, bullish Tenkan/Kijun cross, bullish future Kumo, and Chikou above price. Bollinger Bands (BB) Measures volatility and relative price levels. Group 1 (Strong Bearish): Price is below the lower band. Group 2 (Bearish Territory): Price is between the lower band and the basis line. Group 3 (Neutral): Price is hovering around the basis line. Group 4 (Bullish Territory): Price is between the basis line and the upper band. Group 5 (Strong Bullish): Price is above the upper band. On-Balance Volume (OBV) Uses volume flow to predict price changes. The score is based on OBV's trend and its position relative to its moving average. Group 1 (Strong Bearish): OBV is below its MA and falling. Group 2 (Weakening Bearish): OBV is below its MA but showing signs of rising. Group 3 (Neutral): OBV is very close to its MA. Group 4 (Bullish): OBV is above its MA and rising. Group 5 (Strong Bullish): OBV is above its MA, rising strongly, and showing signs of a volume spike. 🧭 How to Use the T-Virus Sentiment Indicator IMPORTANT: This indicator is a sentiment dashboard , not a direct buy/sell signal generator. Its strength lies in showing confluence and providing a quick, holistic view of the market's technical health. Confirmation Tool: Use the "Active %" gauge to confirm a trade setup from your primary strategy. For example, if you see a bullish chart pattern, a high and rising sentiment score can add confidence to your trade. Momentum & Trend Gauge: A consistently high score (e.g., > 75%) suggests strong, established bullish momentum. A consistently low score (< 25%) suggests strong bearish control. A score hovering around 50% often indicates a ranging or indecisive market. Divergence & Warning System: Pay attention to divergences. If the price is making new highs but the sentiment score is failing to follow or is actively decreasing, it could be an early warning sign that the underlying momentum is weakening. ⚙️ Settings & Customization The indicator is highly customizable to fit any trading style. Position & Anchor: Control where the vial appears on the chart. Styling (Vial, Helix, etc.): Nearly every visual element can be color-customized. Signals: This is where the real power is. All underlying indicator parameters (RSI length, MACD settings, etc.) can be fine-tuned to match a personal strategy. The text labels can also be disabled if the chart feels cluttered. Enjoy visualizing the market's DNA with the T-Virus Sentiment indicator
Pine Script® indicator
by hapharmonic
17