Mulakan

Penunjuk dan strategi

Punjis Dynamic Daily EMA/SMA 5,9,21,50,100 LevelsPunjis Dynamic Daily EMA/SMA 5,9,21,50,100 Levels Overview: This indicator displays daily timeframe moving averages as horizontal lines extending to the right of your chart, regardless of what timeframe you're currently viewing. It includes six key moving averages: EMA 5, EMA 9, EMA 21, SMA 50, SMA 100, and SMA 200. Key Features: Clean Chart Design: Unlike traditional moving average lines that clutter your chart with curves across all candles, this indicator uses horizontal lines that extend only from the current price level to the right edge of your screen Multi-Timeframe Analysis: View daily moving averages on any intraday timeframe (1min, 5min, 15min, etc.) without switching charts Fully Customizable: Toggle each moving average on/off independently Adjust the period length for each MA Customize colors for each line Master toggle to show/hide all lines at once Reduced Visual Noise: Horizontal lines keep your price action clean and easy to read while still providing critical support/resistance levels Professional Layout: Perfect for traders who need to monitor multiple key levels without obscuring candlestick patterns and chart analysis Benefits of Horizontal Lines: Cleaner Charts: Traditional MAs draw lines through every candle, creating visual clutter. Horizontal lines only show current values, keeping your chart clean Focus on Current Levels: What matters most is where the MAs are NOW relative to price - horizontal lines highlight this instantly Better Price Action Visibility: See candlestick patterns, volume, and support/resistance levels clearly without MA lines crossing through them Quick Reference: Instantly identify if price is above or below key moving averages without following curved lines across the chart Professional Appearance: Clean, minimalist design preferred by institutional traders and technical analysts Use Cases: Day traders monitoring higher timeframe levels on intraday charts Swing traders tracking daily moving averages as dynamic support/resistance Multi-timeframe analysis without chart switching Identifying trend direction and potential reversal zones Clean workspace for pattern recognition and price action trading
Penunjuk Pine Script®
oleh TheWisard
TedAlpha – Structure / FVG / OB Sessions: Only looks for trades when price is inside your defined London or NY time blocks. CHOCH: Uses pivots to track swing highs/lows, then flags a bullish CHOCH when structure flips from LL/LH to HH/HL, and vice versa for bearish. FVG: Detects 3-candle imbalance and keeps the zone “active” for fvgLookback bars, then checks if price trades back into it. Order Blocks: On a CHOCH, grabs the last opposite candle (bearish before bull CHOCH = bullish OB, bullish before bear CHOCH = bearish OB) and marks its body as the OB zone. Signal: A valid long = bull CHOCH + in session + (price inside bullish FVG and/or bullish OB, depending on toggles). Short is the mirror image. RR 1:3: SL uses the last swing low (for longs) or last swing high (for shorts), TP is auto-set at 3× that distance and plotted as lines.
Penunjuk Pine Script®
oleh teddyleting
TDI Fibonacci Volatility Bands Candle Coloring [cryptalent]"This is an advanced Traders Dynamic Index (TDI) candle coloring system, designed for traders seeking precise dynamic analysis. Unlike traditional TDI, which typically relies on a 50 midline with a single standard deviation band (±1 SD), this indicator innovatively incorporates Fibonacci golden ratio multiples (1.618, 2.618, 3.618 times standard deviation) to create multi-layered dynamic bands. It precisely divides the RSI fast line (green line) position into five distinct strength zones, instantly reflecting them on the candle colors, allowing you to grasp market sentiment in real-time without switching to a sub-chart. Core Calculation Logic: RSI Period (default 20), Band Length (default 50), and Fast MA Smoothing Period (default 1) are all adjustable. The midline is the Simple Moving Average (SMA) of RSI, with upper and lower bands calculated by multiplying Fibonacci multiples with Standard Deviation (STDEV), generating three dynamic band sets: 1.618, 2.618, and 3.618. Traders can quickly identify the following scenarios: Extreme Overbought Zone (Strong Bullish, Red): Fast line exceeds custom threshold (default 82) and breaks above the specified band (default 2.618). This often signals overheating, potentially a profit-taking point or reversal short entry, especially at trend tops. Extreme Oversold Zone (Strong Bearish, Green): Fast line drops below custom threshold (default 28) and breaks below the specified band (default 2.618). This is a potential strong rebound starting point, ideal for bottom-fishing or long entries. Medium Bullish Zone (Yellow): Fast line surpasses medium threshold (default 66) and stands above the specified band (default 1.618), indicating bullish dominance in trend continuation. Medium Bearish Zone (Orange): Fast line falls below medium threshold (default 33) and breaks below the specified band (default 1.618), signaling bearish control in segment transitions. Neutral Zone (No Color Change): Fast line within custom upper and lower limits (default 34~65), retaining original candle colors to avoid noise interference during consolidation. Color priority logic flows from strong to weak (Extreme > Medium > Neutral), ensuring no conflicts. All parameters are highly customizable, including thresholds, band selections (1.618/2.618/3.618/Midline/None), color schemes, and even optional semi-transparent background coloring (default off, transparency 90%) for enhanced visual layering. Applicable Scenarios: Intraday Trading: Capture extreme color shifts as entry/exit signals. Swing Trading: Use medium colors to confirm trend extensions. Long-Term Trend Following: Filter noise in neutral zones to focus on major trends. Supports various markets like forex, stocks, and cryptocurrencies. After installation, adjust parameters in settings to match your strategy, and combine with other indicators like moving averages or support/resistance for improved accuracy. If you're a TDI enthusiast, this will make your trading more intuitive and efficient!
Penunjuk Pine Script®
oleh cryptalent
Mirpapa_Lib_StructLibrary "Mirpapa_Lib_Struct" ICT 구조 변화 감지 라이브러리 (BOS, CHoCH, MSS, Sweep) initStructState()   StructState 초기화 checkBOS(_trend, _currentClose, _lastHHPrice, _lastLLPrice)   BOS 체크 (추세 지속) - 종가 기준   Parameters:      _trend (string) : 현재 추세      _currentClose (float) : 현재 종가      _lastHHPrice (float) : 마지막 HH 가격      _lastLLPrice (float) : 마지막 LL 가격   Returns: checkCHoCH(_trend, _currentClose, _lastHHPrice, _lastLLPrice)   CHoCH 체크 (추세 전환) - 종가 기준   Parameters:      _trend (string) : 현재 추세      _currentClose (float) : 현재 종가      _lastHHPrice (float) : 마지막 HH 가격      _lastLLPrice (float) : 마지막 LL 가격   Returns: checkSweep(_currentHigh, _currentLow, _currentClose, _lastHHPrice, _lastLLPrice)   Sweep 체크 (유동성 수집) 설명   Parameters:      _currentHigh (float) : 현재 고가      _currentLow (float) : 현재 저가      _currentClose (float) : 현재 종가      _lastHHPrice (float) : 마지막 HH 가격      _lastLLPrice (float) : 마지막 LL 가격   Returns: checkMSS(_hadCHoCH, _chochDir, _currentHigh, _currentLow, _chochPrice)   MSS 체크 (CHoCH + 리테스트 확인)   Parameters:      _hadCHoCH (bool) : CHoCH 발생 여부      _chochDir (string) : CHoCH 방향      _currentHigh (float) : 현재 고가      _currentLow (float) : 현재 저가      _chochPrice (float) : CHoCH 발생 가격   Returns: drawStructLabel(_price, _time, _type, _dir, _lblColor)   구조 변화 라벨 그리기   Parameters:      _price (float) : 가격      _time (int) : 시간      _type (string) : 구조 타입      _dir (string) : 방향      _lblColor (color) : 라벨 색상 drawStructLine(_price, _startTime, _endTime, _lineColor, _lineWidth)   구조 변화 라인 그리기   Parameters:      _price (float) : 가격      _startTime (int) : 시작 시간      _endTime (int) : 끝 시간      _lineColor (color) : 라인 색상      _lineWidth (int) : 라인 두께 StructType   구조 타입 상수   Fields:      BOS (series string)      CHOCH (series string)      MSS (series string)      SWEEP (series string) TrendDir   추세 방향 상수   Fields:      UP (series string)      DOWN (series string)      NONE (series string) StructState   구조 변화 상태   Fields:      _trend (series string) : 현재 추세 방향      _lastHHPrice (series float) : 마지막 HH 가격      _lastHHTime (series int) : 마지막 HH 시간      _lastLLPrice (series float) : 마지막 LL 가격      _lastLLTime (series int) : 마지막 LL 시간      _peakHHPrice (series float) : 최고 HH 가격 (BOS 레벨용)      _peakHHTime (series int) : 최고 HH 시간      _peakLLPrice (series float) : 최저 LL 가격 (BOS 레벨용)      _peakLLTime (series int) : 최저 LL 시간      _bosLevelHH (series float) : BOS 체크용 HH 레벨 (확정된 최고 HH)      _bosLevelHHTime (series int) : BOS 체크용 HH 시간      _bosLevelLL (series float) : BOS 체크용 LL 레벨 (확정된 최저 LL)      _bosLevelLLTime (series int) : BOS 체크용 LL 시간
Perpustakaan Pine Script®
oleh goodia
KernelFunctionsLibrary "KernelFunctions" This library provides non-repainting kernel functions for Nadaraya-Watson estimator implementations. This allows for easy substition/comparison of different kernel functions for one another in indicators. Furthermore, kernels can easily be combined with other kernels to create newer, more customized kernels. rationalQuadratic(_src, _lookback, _relativeWeight, startAtBar)   Rational Quadratic Kernel - An infinite sum of Gaussian Kernels of different length scales.   Parameters:      _src (float) : The source series.      _lookback (simple int) : The number of bars used for the estimation. This is a sliding value that represents the most recent historical bars.      _relativeWeight (simple float) : Relative weighting of time frames. Smaller values resut in a more stretched out curve and larger values will result in a more wiggly curve. As this value approaches zero, the longer time frames will exert more influence on the estimation. As this value approaches infinity, the behavior of the Rational Quadratic Kernel will become identical to the Gaussian kernel.      startAtBar (simple int)   Returns: yhat The estimated values according to the Rational Quadratic Kernel. gaussian(_src, _lookback, startAtBar)   Gaussian Kernel - A weighted average of the source series. The weights are determined by the Radial Basis Function (RBF).   Parameters:      _src (float) : The source series.      _lookback (simple int) : The number of bars used for the estimation. This is a sliding value that represents the most recent historical bars.      startAtBar (simple int)   Returns: yhat The estimated values according to the Gaussian Kernel. periodic(_src, _lookback, _period, startAtBar)   Periodic Kernel - The periodic kernel (derived by David Mackay) allows one to model functions which repeat themselves exactly.   Parameters:      _src (float) : The source series.      _lookback (simple int) : The number of bars used for the estimation. This is a sliding value that represents the most recent historical bars.      _period (simple int) : The distance between repititions of the function.      startAtBar (simple int)   Returns: yhat The estimated values according to the Periodic Kernel. locallyPeriodic(_src, _lookback, _period, startAtBar)   Locally Periodic Kernel - The locally periodic kernel is a periodic function that slowly varies with time. It is the product of the Periodic Kernel and the Gaussian Kernel.   Parameters:      _src (float) : The source series.      _lookback (simple int) : The number of bars used for the estimation. This is a sliding value that represents the most recent historical bars.      _period (simple int) : The distance between repititions of the function.      startAtBar (simple int)   Returns: yhat The estimated values according to the Locally Periodic Kernel.
Perpustakaan Pine Script®
oleh TFU_Tradewise
MLExtensionsLibrary "MLExtensions" A set of extension methods for a novel implementation of a Approximate Nearest Neighbors (ANN) algorithm in Lorentzian space. normalizeDeriv(src, quadraticMeanLength)   Returns the smoothed hyperbolic tangent of the input series.   Parameters:      src (float) : The input series (i.e., the first-order derivative for price).      quadraticMeanLength (int) : The length of the quadratic mean (RMS).   Returns: nDeriv The normalized derivative of the input series. normalize(src, min, max)   Rescales a source value with an unbounded range to a target range.   Parameters:      src (float) : The input series      min (float) : The minimum value of the unbounded range      max (float) : The maximum value of the unbounded range   Returns: The normalized series rescale(src, oldMin, oldMax, newMin, newMax)   Rescales a source value with a bounded range to anther bounded range   Parameters:      src (float) : The input series      oldMin (float) : The minimum value of the range to rescale from      oldMax (float) : The maximum value of the range to rescale from      newMin (float) : The minimum value of the range to rescale to      newMax (float) : The maximum value of the range to rescale to   Returns: The rescaled series getColorShades(color)   Creates an array of colors with varying shades of the input color   Parameters:      color (color) : The color to create shades of   Returns: An array of colors with varying shades of the input color getPredictionColor(prediction, neighborsCount, shadesArr)   Determines the color shade based on prediction percentile   Parameters:      prediction (float) : Value of the prediction      neighborsCount (int) : The number of neighbors used in a nearest neighbors classification      shadesArr (array) : An array of colors with varying shades of the input color   Returns: shade Color shade based on prediction percentile color_green(prediction)   Assigns varying shades of the color green based on the KNN classification   Parameters:      prediction (float) : Value (int|float) of the prediction   Returns: color color_red(prediction)   Assigns varying shades of the color red based on the KNN classification   Parameters:      prediction (float) : Value of the prediction   Returns: color tanh(src)   Returns the the hyperbolic tangent of the input series. The sigmoid-like hyperbolic tangent function is used to compress the input to a value between -1 and 1.   Parameters:      src (float) : The input series (i.e., the normalized derivative).   Returns: tanh The hyperbolic tangent of the input series. dualPoleFilter(src, lookback)   Returns the smoothed hyperbolic tangent of the input series.   Parameters:      src (float) : The input series (i.e., the hyperbolic tangent).      lookback (int) : The lookback window for the smoothing.   Returns: filter The smoothed hyperbolic tangent of the input series. tanhTransform(src, smoothingFrequency, quadraticMeanLength)   Returns the tanh transform of the input series.   Parameters:      src (float) : The input series (i.e., the result of the tanh calculation).      smoothingFrequency (int)      quadraticMeanLength (int)   Returns: signal The smoothed hyperbolic tangent transform of the input series. n_rsi(src, n1, n2)   Returns the normalized RSI ideal for use in ML algorithms.   Parameters:      src (float) : The input series (i.e., the result of the RSI calculation).      n1 (simple int) : The length of the RSI.      n2 (simple int) : The smoothing length of the RSI.   Returns: signal The normalized RSI. n_cci(src, n1, n2)   Returns the normalized CCI ideal for use in ML algorithms.   Parameters:      src (float) : The input series (i.e., the result of the CCI calculation).      n1 (simple int) : The length of the CCI.      n2 (simple int) : The smoothing length of the CCI.   Returns: signal The normalized CCI. n_wt(src, n1, n2)   Returns the normalized WaveTrend Classic series ideal for use in ML algorithms.   Parameters:      src (float) : The input series (i.e., the result of the WaveTrend Classic calculation).      n1 (simple int)      n2 (simple int)   Returns: signal The normalized WaveTrend Classic series. n_adx(highSrc, lowSrc, closeSrc, n1)   Returns the normalized ADX ideal for use in ML algorithms.   Parameters:      highSrc (float) : The input series for the high price.      lowSrc (float) : The input series for the low price.      closeSrc (float) : The input series for the close price.      n1 (simple int) : The length of the ADX. regime_filter(src, threshold, useRegimeFilter)   Parameters:      src (float)      threshold (float)      useRegimeFilter (bool) filter_adx(src, length, adxThreshold, useAdxFilter)   filter_adx   Parameters:      src (float) : The source series.      length (simple int) : The length of the ADX.      adxThreshold (int) : The ADX threshold.      useAdxFilter (bool) : Whether to use the ADX filter.   Returns: The ADX. filter_volatility(minLength, maxLength, useVolatilityFilter)   filter_volatility   Parameters:      minLength (simple int) : The minimum length of the ATR.      maxLength (simple int) : The maximum length of the ATR.      useVolatilityFilter (bool) : Whether to use the volatility filter.   Returns: Boolean indicating whether or not to let the signal pass through the filter. backtest(high, low, open, startLongTrade, endLongTrade, startShortTrade, endShortTrade, isEarlySignalFlip, maxBarsBackIndex, thisBarIndex, src, useWorstCase)   Performs a basic backtest using the specified parameters and conditions.   Parameters:      high (float) : The input series for the high price.      low (float) : The input series for the low price.      open (float) : The input series for the open price.      startLongTrade (bool) : The series of conditions that indicate the start of a long trade.      endLongTrade (bool) : The series of conditions that indicate the end of a long trade.      startShortTrade (bool) : The series of conditions that indicate the start of a short trade.      endShortTrade (bool) : The series of conditions that indicate the end of a short trade.      isEarlySignalFlip (bool) : Whether or not the signal flip is early.      maxBarsBackIndex (int) : The maximum number of bars to go back in the backtest.      thisBarIndex (int) : The current bar index.      src (float) : The source series.      useWorstCase (bool) : Whether to use the worst case scenario for the backtest.   Returns: A tuple containing backtest values init_table()   init_table()   Returns: tbl The backtest results. update_table(tbl, tradeStatsHeader, totalTrades, totalWins, totalLosses, winLossRatio, winrate, earlySignalFlips)   update_table(tbl, tradeStats)   Parameters:      tbl (table) : The backtest results table.      tradeStatsHeader (string) : The trade stats header.      totalTrades (float) : The total number of trades.      totalWins (float) : The total number of wins.      totalLosses (float) : The total number of losses.      winLossRatio (float) : The win loss ratio.      winrate (float) : The winrate.      earlySignalFlips (float) : The total number of early signal flips.   Returns: Updated backtest results table.
Perpustakaan Pine Script®
oleh TFU_Tradewise
MorphWave Bands [JOAT]MorphWave Bands - Adaptive Volatility Envelope System MorphWave Bands create a dynamic price envelope that automatically adjusts its width based on current market conditions. Unlike static Bollinger Bands, this indicator blends ATR and standard deviation with an efficiency ratio to expand during trending conditions and contract during consolidation. What This Indicator Does Plots adaptive upper and lower bands around a customizable moving average basis Automatically adjusts band width using a blend of ATR and standard deviation Detects volatility squeezes when bands contract to historical lows Highlights breakouts when price moves beyond the bands Provides squeeze alerts for anticipating volatility expansion Adaptive Mechanism The bands adapt through a multi-step process: // Blend ATR and Standard Deviation blendedVol = useAtrBlend ? (atrVal * 0.6 + stdVal * 0.4) : stdVal // Normalize volatility to its historical range volNorm = (blendedVol - volLow) / (volHigh - volLow) // Create adaptive multiplier adaptMult = baseMult * (0.5 + volNorm * adaptSens) This creates bands that respond to market regime changes while maintaining stability. Squeeze Detection A squeeze is identified when band width drops below a specified percentile of its historical range: Background highlighting indicates active squeeze conditions Low percentile readings suggest compressed volatility Squeeze exits often precede directional moves Inputs Overview Band Length — Period for basis calculation (default: 20) Base Multiplier — Starting band width multiplier (default: 2.0) MA Type — Choose from SMA, EMA, WMA, VWMA, or HMA Adaptation Lookback — Historical period for normalization (default: 50) Adaptation Sensitivity — How much bands respond to volatility changes Squeeze Threshold — Percentile below which squeeze is detected Dashboard Information Current trend direction relative to basis and bands Band width percentage Squeeze status (Active or None) Efficiency ratio Current adaptive multiplier value How to Use It Look for squeeze conditions as potential precursors to breakouts Use band touches as dynamic support/resistance references Monitor breakout signals when price closes beyond bands Combine with momentum indicators for directional confirmation Alerts Upper/Lower Breakout — Price exceeds band boundaries Squeeze Entry/Exit — Volatility compression begins or ends Basis Crosses — Price crosses the center line This indicator is provided for educational purposes. It does not constitute financial advice. — Made with passion by officialjackofalltrades
Penunjuk Pine Script®
oleh officialjackofalltrades
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.
Penunjuk Pine Script®
oleh BackQuant
4
9/39 EMA Crossover + ADX + RSI Filter (No builtin ADX) 9/39 EMA Crossover + ADX + RSI Filter This indicator combines classic trend‑following EMAs with momentum and trend‑strength filters to generate high‑quality Buy/Sell signals. It is designed for traders who want cleaner entries, reduced noise, and confirmation‑based signals. ✅ How It Works 1. EMA Trend Logic • Buy Signal: 9 EMA crosses above 39 EMA • Sell Signal: 9 EMA crosses below 39 EMA This captures short‑term momentum shifts within the broader trend. ✅ 2. ADX Trend Strength Filter To avoid weak or sideways markets, signals only trigger when: • ADX > 20 This ensures the market has enough directional strength before taking trades. ✅ 3. RSI Momentum Filter Momentum must align with the direction of the crossover: • Buy: RSI > 50 • Sell: RSI < 50 This prevents counter‑trend entries and improves signal reliability. ✅ Final Signal Conditions ✅ BUY • 9 EMA crosses above 39 EMA • ADX > 20 • RSI > 50 ✅ SELL • 9 EMA crosses below 39 EMA • ADX > 20 • RSI < 50 ✅ Features • Clean BUY/SELL labels on chart • ADX calculated manually (compatible with all Pine environments) • Alerts included for automation • Works on all timeframes and instruments ✅ Best Use‑Cases • Trend‑following strategies • Swing trading • Intraday momentum confirmation • Filtering out sideways/noisy markets
Penunjuk Pine Script®
oleh hmtsahu
MTF Switch Level (Single TF)Multi-timeframe Switch Level (Single TF) This indicator marks the most recent “switch level” created by breakout / breakdown behaviour on the current timeframe. How it works – After a bullish breakout (close above the previous bar’s high), the script sets a bearish switch level at that previous high. – After a bearish breakdown (close below the previous bar’s low), it sets a bullish switch level at that previous low. – A single horizontal line extends from the latest switch level. – The line and “S” label turn bullish when price is above the level and bearish when price is below it. – Optional alerts fire when price crosses the active switch level. Use-cases – Visualise where breakout traders are likely trapped. – Define a simple “above = bullish / below = bearish” bias line. – Combine with higher-timeframe analysis or other tools for context. Inputs – Enable/disable bullish and bearish switch conditions. – Line length, colour, style, thickness. – Label position and offsets. – Alert conditions for crosses. Disclaimer This tool is for charting and educational purposes only and is not financial advice or a signal service. Always do your own research and risk management.
Penunjuk Pine Script®
oleh TRADE_the_ORB
ADR% / ATR / Dynamic LoD–HoD TableThis indicator displays a clean data table showing ADR%, ATR, and a dynamic LoD/HoD distance value based on daily trend conditions. When price is above the 21-day or 50-day moving average, the indicator shows the distance from the Low of Day. When price is below BOTH daily moving averages, it automatically switches to showing distance from the High of Day. The table updates in real-time and gives a fast, volatility-based view of where price sits inside the day’s range. Features • ADR% (Average Daily Range Percentage) • ATR (Average True Range) • Automatic LoD → HoD switching based on daily trend • Customizable colors and layout • Clean, space-efficient table format • Designed for intraday and volatility-focused traders
Penunjuk Pine Script®
oleh InsiderTradingCuh
VCAI Volume & Liquidity Map LiteVCAI Volume & Liquidity Map Lite visualises recent market participation using a horizontal liquidity/volume histogram plotted beside current price. It shows where trading activity has clustered, where the chart is thin, and how much of that activity came from buying vs selling pressure. This Lite edition keeps the tool simple and fast: Yellow = buy-side volume (aggressive buyers / upward pressure) Purple = sell-side volume (aggressive sellers / downward pressure) Thicker sections = higher traded volume at that price POC line (purple) marks the price with the highest volume concentration Value Area lines (yellow dashed) mark where ~70% of volume has traded Bars extend outward to the right of price for a clean, unobstructed chart Lookback setting controls how many candles the map is built from Use it to quickly identify: high-interest price zones low-liquidity areas where price can move fast likely reaction levels where momentum may slow, reverse, or break through Designed as a lightweight, open-source tool for anyone wanting a clean liquidity/volume map without complex settings. Part of the VCAI Lite Series.
Penunjuk Pine Script®
oleh Vectorcoresai
VCAI Volume LiteVCAI Volume Lite is a clean, modern take on volume analysis designed for traders who want a clearer read on participation without loading multiple indicators. This Lite edition focuses on the essentials: real activity vs dead sessions expansion vs contraction momentum shifts around breakouts and pullbacks No hype, no filters, no hidden logic — just a straightforward volume tool rebuilt with the VCAI visual framework. Use it to quickly spot: stronger moves backed by genuine participation weak pushes running on low volume areas where momentum may stall or accelerate Part of the VCAI Lite Series.
Penunjuk Pine Script®
oleh Vectorcoresai
(5+15+60min+1D)EMA20+Y'SH/L+count简介： 这是一个专为 5分钟图表 (5min Chart) 日内交易者设计的综合辅助工具。它结合了多周期趋势均线、美股核心交易时段的时间周期计数以及关键流动性位置（前一日高低点）的智能突破监测。该脚本针对美股个股及 24/7 交易的 BTC/ETH 进行了优化，强制锁定纽约时间进行运算。 核心功能： 1. 多周期 EMA 监控系统 (MTF EMAs) 5min EMA20 (蓝色)：日内短期趋势核心线（默认开启）。 60min EMA20 (绿色)：小时级别趋势参考（默认开启）。 15min EMA20 (红色) & 1D EMA20 (橙色)：可选开启，用于捕捉更大周期的支撑阻力。 特点：所有均线采用最细线宽，平滑显示，右上角表格实时展示当前价格。 2. 美股时段 Bar Count 计数器 时间锚定：以纽约时间 (New York Time) 09:30 开盘为起点（Bar 0）。 显示规则：仅在 K 线底部显示 偶数 序号 (0, 2, 4, 6 ...)，直至第 82 根 K 线停止。 关键时间窗 (Time Pivots)： Bar 18 (约 NY 10:55) 和 Bar 40 (约 NY 12:45) 会被自动高亮。 字体变为 蓝色粗体，且对应 K 线实体变为蓝色，提示潜在的变盘或宏观流动性注入时刻。 3. 智能 PDH/PDL 射线 (Smart Rays) 精确锚点：前一日高点 (PDH) 和低点 (PDL) 的射线不是从开盘画起，而是从昨日形成高低点的具体时间点射出，精确还原价格行为。 自动阻断 (Breakout Logic)：一旦当前价格触碰或突破该射线，射线将自动停止延伸，直观展示“阻力/支撑已失效”。 自动清理：每日自动清除旧线，仅保留当天的参考线，保持图表整洁。 4. 视觉优化 每日分割线：自动绘制灰色虚线分隔交易日。 图表限制：脚本仅在 5分钟图表上可见，切换周期自动隐藏，避免干扰大周期分析。 设置说明： 可在设置面板中自由开关各周期 EMA 的显示。 可开关底部的计数数字显示。 English Version (for TradingView Publishing) Title: 5min Intraday Precision Toolkit: MTF EMAs + NY Session Count + Smart Rays Introduction: This is a comprehensive auxiliary tool designed specifically for 5-minute chart intraday traders. It combines multi-timeframe trend EMAs, time cycle counting based on the US Session, and smart breakout monitoring for key liquidity levels (Previous Day High/Low). Optimized for US Equities and Crypto (BTC/ETH) using New York Time. Key Features: 1. Multi-Timeframe EMA System 5min EMA20 (Blue): Core short-term intraday trend (On by default). 60min EMA20 (Green): Hourly trend reference (On by default). 15min EMA20 (Red) & 1D EMA20 (Orange): Optional overlays for higher timeframe support/resistance. Visuals: All EMAs are rendered with fine lines for a clean look, accompanied by a top-right dashboard table. 2. NY Session Bar Count Time Anchor: Starts counting from 09:30 New York Time (Bar 0). Display Logic: Displays only EVEN numbers (0, 2, 4...) at the bottom of the bars, stopping at count 82. Time Pivots: Bar 18 (~10:55 NY) and Bar 40 (~12:45 NY) are highlighted. Labels turn Bold Blue, and the specific candles are colored Blue to indicate potential reversal or liquidity injection times. 3. Smart PDH/PDL Rays Precise Origin: Rays for Previous Day High (PDH) and Previous Day Low (PDL) originate from the exact timestamp they were created yesterday, not just the daily open. Breakout Stop Logic: Rays automatically stop extending once price touches or breaks them, clearly indicating that the level has been tested. Auto-Clean: Automatically removes old rays from previous days to keep the chart clean. 4. Visual Optimization Daily Separators: Automatic vertical dotted lines marking new days. Visibility: All elements are hidden on non-5m charts to prevent clutter. Settings: Toggle visibility for individual EMAs. Toggle visibility for the bottom bar counter.
Penunjuk Pine Script®
oleh sdtg1259
Continuation Model by XausThis report summarizes the historical performance of the Institutional Daily Bias Probability Model on EURUSD daily data for the 2025 calendar year. The model combines three components: 1. Continuation bias around the previous day's high/low (PDH/PDL). 2. Reversal bias based on failed continuation, failed breakouts, and exhaustion. 3. Neutral bias to identify liquidity-building days when no directional trades should be taken. A fixed 25-pip stop loss (0.0025) is assumed for R-multiple calculations. Trades are only taken when Neutral score < 50 and either Continuation or Reversal score is at least 70, with Neutral overriding, then Reversal, then Continuation.
Penunjuk Pine Script®
oleh CCRafael46
Mirpapa_Lib_UnicornLibrary "Mirpapa_Lib_Unicorn" 유니콘 패턴 라이브러리 (Unicorn Pattern Library) 유니콘 모델 전략 로직, 데이터 구조체 및 상태 관리를 구현합니다. initUnicornData(_isBull, _createTime, _createBar, _timeframe)   UnicornData 초기화 @description 새로운 UnicornData 객체를 생성하고 초기화합니다.   Parameters:      _isBull (bool) : 방향 (True: 상승, False: 하락)      _createTime (int) : 생성 시간      _createBar (int) : 생성 Bar Index      _timeframe (string) : 시간대 calculateOverlap(_obTop, _obBot, _fvgTop, _fvgBot)   중첩 영역(Overlap Zone) 계산 @description OB와 FVG 사이의 겹치는 영역을 계산합니다.   Parameters:      _obTop (float) : OB 상단      _obBot (float) : OB 하단      _fvgTop (float) : FVG 상단      _fvgBot (float) : FVG 하단   Returns: 겹침 영역 상단, 하단, 겹침 여부 updateUnicornStatus(_data, _currentHigh, _currentLow, _time)   유니콘 상태 업데이트 @description 가격 움직임에 따라 유니콘 패턴의 상태를 업데이트합니다. active: 진입 대기 (리테스트 대기) -> triggered: 진입 (TP/SL 대기) -> win/loss: 결과 확정   Parameters:      _data (UnicornData) : UnicornData 객체      _currentHigh (float) : 현재 고가      _currentLow (float) : 현재 저가      _time (int) : 현재 시간   Returns: UnicornData 업데이트된 객체 activateUnicorn(_data)   유니콘 활성화 (Active 전환) @description Pending 상태인 유니콘 데이터를 Active 상태로 전환합니다. (보통 CHoCH 발생 시 호출)   Parameters:      _data (UnicornData) : UnicornData 객체 setTradeLevels(_data, _entry, _stop, _target)   트레이딩 레벨 설정 @description 진입가, 목표가, 손절가를 설정합니다.   Parameters:      _data (UnicornData) : UnicornData 객체      _entry (float) : 진입가      _stop (float) : 손절가      _target (float) : 목표가 UnicornData   유니콘 데이터 (UnicornData)   Fields:      _isBull (series bool) : // 상승/하락 방향 (True: Long, False: Short)      _status (series string) : // "pending", "active", "triggered", "win", "loss", "cancelled"      _createTime (series int) : // 생성 시간      _createBar (series int) : // 생성 bar_index      _obTop (series float) : // OB 상단      _obBot (series float) : // OB 하단      _obTime (series int) : // OB 캔들 시간      _obBox (series box) : // OB 박스 객체      _fvgTop (series float) : // FVG 상단      _fvgBot (series float) : // FVG 하단      _fvgTime (series int) : // FVG 시간      _fvgBox (series box) : // FVG 박스 객체      _zoneTop (series float) : // 겹침 영역 상단 (Unicorn Zone)      _zoneBot (series float) : // 겹침 영역 하단 (Unicorn Zone)      _zoneBox (series box) : // Unicorn Zone 박스 객체      _chochConfirmed (series bool) : // CHoCH 확정 여부      _chochTime (series int) : // CHoCH 발생 시간      _chochPrice (series float) : // CHoCH 돌파 가격      _entryPrice (series float) : // 진입가      _targetPrice (series float) : // 목표가 (다음 유동성 레벨)      _stopPrice (series float) : // 손절가 (Zone 반대편)      _result (series string) : // "none", "win", "loss"      _resultTime (series int) : // 결과 확정 시간      _resultPrice (series float) : // 결과 확정 가격      _profitPips (series float) : // 수익 pips (양수)      _lossPips (series float) : // 손실 pips (음수)      _profitPercent (series float) : // 수익 %      _lossPercent (series float) : // 손실 %      _rrRatio (series float) : // Risk:Reward 비율      _timeframe (series string) : // 시간대 (HTF/MTF/CTF)      _triggerTime (series int) : // 진입 트리거 시간 (리테스트)      _triggerPrice (series float) : // 진입 트리거 가격      _isRetested (series bool) : // 리테스트 여부      _retestCount (series int) : // 리테스트 횟수      _maxDrawdown (series float) : // 최대 손실폭 (진입 후)      _maxProfit (series float) : // 최대 수익폭 (진입 후)
Perpustakaan Pine Script®
oleh goodia
Emmanuel Optuma Bar Colors v2This script colours TradingView’s Bar Chart to follow a simple, powerful bar-type logic used in Optuma-style analysis. It makes the chart easier to read by showing the relationship between: Up bars Down bars Outside bars Inside bars 🔍 Bar Type Detection Up Bar Close > Previous close → Indicates upward strength → Coloured Green Down Bar Close < Previous close → Indicates downward pressure → Coloured Red Outside Bar High > Previous high and Low < Previous low → Market expands its range → Coloured Blue Inside Bar High < Previous high and Low > Previous low → Market contracts inside the previous bar → Follows previous bar’s colour 🎨 Colour Rules Summary Bar Type Colour Meaning Up Bar 🟩 Green Bullish pressure Down Bar 🟥 Red Bearish pressure Outside Bar 🔵 Blue Range expansion, bar resets structure Inside Bar Same as previous bar Market indecision, continuation 🧠 Inside Bar Logic (Very Important) Inside bars always copy the colour of the previous bar, which means: If the previous bar was Green → inside bar becomes Green If the previous bar was Red → inside bar becomes Red If the previous bar was Blue → inside bar becomes Blue This keeps the structure visually consistent and easy to read. 📈 Why This Helps Traders This approach makes it easier to see: ✔ Trend continuation Inside bars keep the trend colour, making swings clearer. ✔ Trend weakness Inside bars after outside bars show contraction. ✔ Breakouts Blue outside bars stand out as moments of range expansion. ✔ Market rhythm The chart becomes easier to follow for beginners and advanced traders. 🧩 How to Use It Set chart type to Bars Add the script Hide default colours (barcolor replaces them) This instantly transforms TradingView into a teaching-friendly chart like Optuma.
Penunjuk Pine Script®
oleh madue2014