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Atilla NoSignal Full – Trend Filter, No-Signal Zone & Clean Scal (Features) • NoSignal Zone Filter (Prevents trades during sideways/no-momentum conditions.) • Advanced Trend Confirmation (Confirms directional bias with EMA structure.) • Smart Long/Short Signals (Clean Buy/Sell signals only during valid market structure.) • Multi-Timeframe Friendly (Stable from 1-minute up to 4-hour charts.) • Noise Reduction Algorithm (Reduces noise in volatile zones.) • Simple, Clean Visual Design (Clean layout with minimal clutter.)
אינדיקטור Pine Script®
מאת ‎AtillaAlanya‎
Top-line % MovesOverview A clean, text-only overlay that shows price momentum at a glance. It prints one line at the top-center of your chart: Movement | Day % | 3-Day % | Wk % What it shows Day - Percent change from today’s regular-session open to the latest price 3-Day - Percent change from the daily open 3 trading days ago Wk - Percent change from the daily open 5 trading days ago How it works Pulls daily opens via request.security so it stays consistent across intraday and daily timeframes Calculates percent moves versus those opens and renders a single centered text line Transparent background, bright white text, no bars or lines, minimal chart footprint Notes “Wk” uses 5 trading days. If you prefer 7 calendar days, change the lookback to your preference Daily opens follow the symbol’s TradingView session settings. Extended or 24h markets may differ from your broker’s definition of “open” Best for Quick momentum read without clutter Screeners, streaming layouts, and compact dashboards Inputs None Tags percent change, overlay, momentum, daily open, intraday, text display, minimal, Pine v6
אינדיקטור Pine Script®
מאת ‎EVerzub30‎
bar color changeThis Pine v5 code allows you to distinguish between candles on the chart. The body/wick/frame of the "live" candle that hasn't yet closed is colored white. When a live candle is present, the body of the immediately preceding candle is colored green with offset = -1. All other candles remain gray (#2e2e2e). plotcandle fixes the wick/frame so that the live and previous candles are selected when following the trend. If there are other conflicting scripts, the most recently added one quickly takes precedence.
אינדיקטור Pine Script®
מאת ‎justcaredit‎
Previous Day OHLC with Fib LevelThe Previous Day OHLC indicator is designed to help traders identify key price levels from the previous trading session. These levels often act as important zones of support, resistance, and market reaction points during the current day’s price action. This indicator automatically plots the Previous Day’s Open, High, Low, and Close on any intraday timeframe, making it a powerful tool for day traders, scalpers, and swing traders who rely on market structure and session behavior.
אינדיקטור Pine Script®
מאת ‎Rachoti‎
Boring MACD Trading Strategy - Dedicated to 'The Secret Mindset'This indicator displays the MACD status across three selectable timeframes, regardless of the chart timeframe you are currently viewing. For each timeframe, it shows whether the MACD line is above or below the zero line, indicating bullish or bearish momentum. It also shows whether the MACD line is above or below the signal line, revealing the current trend condition as bullish, bearish, or neutral.
אינדיקטור Pine Script®
מאת ‎hungryHead54637‎
Boring MACD Trading Strategy - Dedicated to 'The Secret Mindset'This indicator displays the MACD status across three selectable timeframes, regardless of the chart timeframe you are currently viewing. For each timeframe, it shows whether the MACD line is above or below the zero line, indicating bullish or bearish momentum. It also shows whether the MACD line is above or below the signal line, revealing the current trend condition as bullish, bearish, or neutral.
אינדיקטור Pine Script®
מאת ‎hungryHead54637‎
YCGH ATH DrawdownHow the Indicator Measures Drawdown from ATH The indicator continuously tracks and calculates the percentage decline from the all-time high (ATH) using a systematic approach.​ ATH Tracking Mechanism Dynamic ATH Calculation: The script maintains a persistent variable that stores the highest price ever reached. On each bar, it compares the current high with the stored ATH using ath := math.max(ath, high), updating the ATH whenever a new peak is reached.
אינדיקטור Pine Script®
מאת ‎YCGH_Capital‎
LibVeloLibrary "LibVelo" This library provides a sophisticated framework for **Velocity Profile (Flow Rate)** analysis. It measures the physical speed of trading at specific price levels by relating volume to the time spent at those levels. ## Core Concept: Market Velocity Unlike Volume Profiles, which only answer "how much" traded, Velocity Profiles answer "how fast" it traded. It is calculated as: `Velocity = Volume / Duration` This metric (contracts per second) reveals hidden market dynamics invisible to pure Volume or TPO profiles: 1. **High Velocity (Fast Flow):** * **Aggression:** Initiative buyers/sellers hitting market orders rapidly. * **Liquidity Vacuum:** Price slips through a level because order book depth is thin (low resistance). 2. **Low Velocity (Slow Flow):** * **Absorption:** High volume but very slow price movement. Indicates massive passive limit orders ("Icebergs"). * **Apathy:** Little volume over a long time. Lack of interest from major participants. ## Architecture: Triple-Engine Composition To ensure maximum performance while offering full statistical depth for all metrics, this library utilises **object composition** with a lazy evaluation strategy: #### Engine A: The Master (`vpVol`) * **Role:** Standard Volume Profile. * **Purpose:** Maintains the "ground truth" of volume distribution, price buckets, and ranges. #### Engine B: The Time Container (`vpTime`) * **Role:** specialized container for time duration (in ms). * **Hack:** It repurposes standard volume arrays (specifically `aBuy`) to accumulate time duration for each bucket. #### Engine C: The Calculator (`vpVelo`) * **Role:** Temporary scratchpad for derived metrics. * **Purpose:** When complex statistics (like Value Area or Skewness) are requested for **Velocity**, this engine is assembled on-demand to leverage the full statistical power of `LibVPrf` without rewriting complex algorithms. --- **DISCLAIMER** This library is provided "AS IS" and for informational and educational purposes only. It does not constitute financial, investment, or trading advice. The author assumes no liability for any errors, inaccuracies, or omissions in the code. Using this library to build trading indicators or strategies is entirely at your own risk. As a developer using this library, you are solely responsible for the rigorous testing, validation, and performance of any scripts you create based on these functions. The author shall not be held liable for any financial losses incurred directly or indirectly from the use of this library or any scripts derived from it. create(buckets, rangeUp, rangeLo, dynamic, valueArea, allot, estimator, cdfSteps, split, trendLen)   Construct a new `Velo` controller, initializing its engines.   Parameters:      buckets (int) : series int Number of price buckets ≥ 1.      rangeUp (float) : series float Upper price bound (absolute).      rangeLo (float) : series float Lower price bound (absolute).      dynamic (bool) : series bool Flag for dynamic adaption of profile ranges.      valueArea (int) : series int Percentage for Value Area (1..100).      allot (series AllotMode) : series AllotMode Allocation mode `Classic` or `PDF` (default `PDF`).      estimator (series PriceEst enum from AustrianTradingMachine/LibBrSt/1) : series PriceEst PDF model for distribution attribution (default `Uniform`).      cdfSteps (int) : series int Resolution for PDF integration (default 20).      split (series SplitMode) : series SplitMode Buy/Sell split for the master volume engine (default `Classic`).      trendLen (int) : series int Look‑back for trend factor in dynamic split (default 3).   Returns: Velo Freshly initialised velocity profile. method clone(self)   Create a deep copy of the composite profile.   Namespace types: Velo   Parameters:      self (Velo) : Velo Profile object to copy.   Returns: Velo A completely independent clone. method clear(self)   Reset all engines and accumulators.   Namespace types: Velo   Parameters:      self (Velo) : Velo Profile object to clear.   Returns: Velo Cleared profile (chaining). method merge(self, srcVolBuy, srcVolSell, srcTime, srcRangeUp, srcRangeLo, srcVolCvd, srcVolCvdHi, srcVolCvdLo)   Merges external data (Volume and Time) into the current profile. Automatically handles resizing and re-bucketing if ranges differ.   Namespace types: Velo   Parameters:      self (Velo) : Velo The profile object.      srcVolBuy (array) : array Source Buy Volume bucket array.      srcVolSell (array) : array Source Sell Volume bucket array.      srcTime (array) : array Source Time bucket array (ms).      srcRangeUp (float) : series float Upper price bound of the source data.      srcRangeLo (float) : series float Lower price bound of the source data.      srcVolCvd (float) : series float Source Volume CVD final value.      srcVolCvdHi (float) : series float Source Volume CVD High watermark.      srcVolCvdLo (float) : series float Source Volume CVD Low watermark.   Returns: Velo `self` (chaining). method addBar(self, offset)   Main data ingestion. Distributes Volume and Time to buckets.   Namespace types: Velo   Parameters:      self (Velo) : Velo The profile object.      offset (int) : series int Offset of the bar to add (default 0).   Returns: Velo `self` (chaining). method setBuckets(self, buckets)   Sets the number of buckets for the profile.   Namespace types: Velo   Parameters:      self (Velo) : Velo The profile object.      buckets (int) : series int New number of buckets.   Returns: Velo `self` (chaining). method setRanges(self, rangeUp, rangeLo)   Sets the price range for the profile.   Namespace types: Velo   Parameters:      self (Velo) : Velo The profile object.      rangeUp (float) : series float New upper price bound.      rangeLo (float) : series float New lower price bound.   Returns: Velo `self` (chaining). method setValueArea(self, va)   Set the percentage of volume/time for the Value Area.   Namespace types: Velo   Parameters:      self (Velo) : Velo The profile object.      va (int) : series int New Value Area percentage (0..100).   Returns: Velo `self` (chaining). method getBuckets(self)   Returns the current number of buckets in the profile.   Namespace types: Velo   Parameters:      self (Velo) : Velo The profile object.   Returns: series int The number of buckets. method getRanges(self)   Returns the current price range of the profile.   Namespace types: Velo   Parameters:      self (Velo) : Velo The profile object.   Returns: rangeUp series float The upper price bound of the profile. rangeLo series float The lower price bound of the profile. method getArrayBuyVol(self)   Returns the internal raw data array for **Buy Volume** directly.   Namespace types: Velo   Parameters:      self (Velo) : Velo The profile object.   Returns: array The internal array for buy volume. method getArraySellVol(self)   Returns the internal raw data array for **Sell Volume** directly.   Namespace types: Velo   Parameters:      self (Velo) : Velo The profile object.   Returns: array The internal array for sell volume. method getArrayTime(self)   Returns the internal raw data array for **Time** (in ms) directly.   Namespace types: Velo   Parameters:      self (Velo) : Velo The profile object.   Returns: array The internal array for time duration. method getArrayBuyVelo(self)   Returns the internal raw data array for **Buy Velocity** directly. Automatically executes _assemble() if data is dirty.   Namespace types: Velo   Parameters:      self (Velo) : Velo The profile object.   Returns: array The internal array for buy velocity. method getArraySellVelo(self)   Returns the internal raw data array for **Sell Velocity** directly. Automatically executes _assemble() if data is dirty.   Namespace types: Velo   Parameters:      self (Velo) : Velo The profile object.   Returns: array The internal array for sell velocity. method getBucketBuyVol(self, idx)   Returns the **Buy Volume** of a specific bucket.   Namespace types: Velo   Parameters:      self (Velo) : Velo The profile object.      idx (int) : series int The index of the bucket.   Returns: series float The buy volume. method getBucketSellVol(self, idx)   Returns the **Sell Volume** of a specific bucket.   Namespace types: Velo   Parameters:      self (Velo) : Velo The profile object.      idx (int) : series int The index of the bucket.   Returns: series float The sell volume. method getBucketTime(self, idx)   Returns the raw accumulated time (in ms) spent in a specific bucket.   Namespace types: Velo   Parameters:      self (Velo) : Velo The profile object.      idx (int) : series int The index of the bucket.   Returns: series float The time in milliseconds. method getBucketBuyVelo(self, idx)   Returns the **Buy Velocity** (Aggressive Buy Flow) of a bucket.   Namespace types: Velo   Parameters:      self (Velo) : Velo The profile object.      idx (int) : series int The index of the bucket.   Returns: series float The buy velocity in . method getBucketSellVelo(self, idx)   Returns the **Sell Velocity** (Aggressive Sell Flow) of a bucket.   Namespace types: Velo   Parameters:      self (Velo) : Velo The profile object.      idx (int) : series int The index of the bucket.   Returns: series float The sell velocity in . method getBktBnds(self, idx)   Returns the price boundaries of a specific bucket.   Namespace types: Velo   Parameters:      self (Velo) : Velo The profile object.      idx (int) : series int The index of the bucket.   Returns: up series float The upper price bound of the bucket. lo series float The lower price bound of the bucket. method getPoc(self, target)   Returns Point of Control (POC) information for the specified target metric. Calculates on-demand if the target is 'Velocity' and data changed.   Namespace types: Velo   Parameters:      self (Velo) : Velo The profile object.      target (series Metric) : Metric The data aspect to analyse (Volume, Time, Velocity).   Returns: pocIdx series int The index of the POC bucket. pocPrice series float The mid-price of the POC bucket. method getVA(self, target)   Returns Value Area (VA) information for the specified target metric. Calculates on-demand if the target is 'Velocity' and data changed.   Namespace types: Velo   Parameters:      self (Velo) : Velo The profile object.      target (series Metric) : Metric The data aspect to analyse (Volume, Time, Velocity).   Returns: vaUpIdx series int The index of the upper VA bucket. vaUpPrice series float The upper price bound of the VA. vaLoIdx series int The index of the lower VA bucket. vaLoPrice series float The lower price bound of the VA. method getMedian(self, target)   Returns the Median price for the specified target metric distribution. Calculates on-demand if the target is 'Velocity' and data changed.   Namespace types: Velo   Parameters:      self (Velo) : Velo The profile object.      target (series Metric) : Metric The data aspect to analyse (Volume, Time, Velocity).   Returns: medianIdx series int The index of the bucket containing the median. medianPrice series float The median price. method getAverage(self, target)   Returns the weighted average price (VWAP/TWAP) for the specified target. Calculates on-demand if the target is 'Velocity' and data changed.   Namespace types: Velo   Parameters:      self (Velo) : Velo The profile object.      target (series Metric) : Metric The data aspect to analyse (Volume, Time, Velocity).   Returns: avgIdx series int The index of the bucket containing the average. avgPrice series float The weighted average price. method getStdDev(self, target)   Returns the standard deviation for the specified target distribution. Calculates on-demand if the target is 'Velocity' and data changed.   Namespace types: Velo   Parameters:      self (Velo) : Velo The profile object.      target (series Metric) : Metric The data aspect to analyse (Volume, Time, Velocity).   Returns: series float The standard deviation. method getSkewness(self, target)   Returns the skewness for the specified target distribution. Calculates on-demand if the target is 'Velocity' and data changed.   Namespace types: Velo   Parameters:      self (Velo) : Velo The profile object.      target (series Metric) : Metric The data aspect to analyse (Volume, Time, Velocity).   Returns: series float The skewness. method getKurtosis(self, target)   Returns the excess kurtosis for the specified target distribution. Calculates on-demand if the target is 'Velocity' and data changed.   Namespace types: Velo   Parameters:      self (Velo) : Velo The profile object.      target (series Metric) : Metric The data aspect to analyse (Volume, Time, Velocity).   Returns: series float The excess kurtosis. method getSegments(self, target)   Returns the fundamental unimodal segments for the specified target metric. Calculates on-demand if the target is 'Velocity' and data changed.   Namespace types: Velo   Parameters:      self (Velo) : Velo The profile object.      target (series Metric) : Metric The data aspect to analyse (Volume, Time, Velocity).   Returns: matrix A 2-column matrix where each row is an pair. method getCvd(self, target)   Returns Cumulative Volume/Velo Delta (CVD) information for the target metric.   Namespace types: Velo   Parameters:      self (Velo) : Velo The profile object.      target (series Metric) : Metric The data aspect to analyse (Volume, Time, Velocity).   Returns: cvd series float The final delta value. cvdHi series float The historical high-water mark of the delta. cvdLo series float The historical low-water mark of the delta. Velo   Velo Composite Velocity Profile Controller.   Fields:      _vpVol (VPrf type from AustrianTradingMachine/LibVPrf/2) : LibVPrf.VPrf Engine A: Master Volume source.      _vpTime (VPrf type from AustrianTradingMachine/LibVPrf/2) : LibVPrf.VPrf Engine B: Time duration container (ms).      _vpVelo (VPrf type from AustrianTradingMachine/LibVPrf/2) : LibVPrf.VPrf Engine C: Scratchpad for velocity stats.      _aTime (array) : array Pointer alias to `vpTime.aBuy` (Time storage).      _valueArea (series float) : int Percentage of total volume to include in the Value Area (1..100)      _estimator (series PriceEst enum from AustrianTradingMachine/LibBrSt/1) : LibBrSt.PriceEst PDF model for distribution attribution.      _allot (series AllotMode) : AllotMode Attribution model (Classic or PDF).      _cdfSteps (series int) : int Integration resolution for PDF.      _isDirty (series bool) : bool Lazy evaluation flag for vpVelo.
ספריית Pine Script®
מאת ‎AustrianTradingMachine‎
Binary Ratio Table (30 tokens) - against 3 Benchmark TokensDescription: This indicator compares the relative strength of 30 selected cryptocurrencies against three major benchmark assets — BTC, ETH, and SOL — using a ratio-based RSI system. For each token, the script: Calculates the ratio of the token’s price to each major (BTC, ETH, SOL). Computes RSI(60) of the ratio, then compares its EMA(10) vs. Median(30). Assigns a score of 1 (green) if EMA > Median (bullish) or 0 (red) if not (bearish). Results are displayed in two color-coded tables showing all 30 tokens and their relative strength signals vs. BTC, ETH, and SOL. A full JSON payload of all scores is also generated for webhook alerts or external automation. Use Case: Quickly assess which altcoins are outperforming or underperforming major crypto benchmarks. Ideal for relative strength rotation, momentum analysis, or automated portfolio filters. Ratio Logic is adjustable in Pincescript
אינדיקטור Pine Script®
מאת ‎GetaDiego‎
Chande Momentum Oscillator Trend | DextraOverview A momentum-driven trend filter that turns the powerful Chande Momentum Oscillator (CMO) into a clean, actionable trend signal. ChandeMO Trend uses hysteresis locking to stay in bullish or bearish mode only when true momentum confirms direction. Instant visual clarity with fully colored candles: Emerald Green → Bullish momentum locked Hot Pink → Bearish momentum locked How It Works Calculates Chande Momentum Oscillator using EMA-smoothed upside/downside momentum Triggers trend only when CMO exits the neutral zone Locks the state until opposite threshold is broken Updates CMO line color and candle appearance in real time
אינדיקטור Pine Script®
מאת ‎xdextra‎
ATR (No Gap) - Advanced Volatility IndicatorA customizable Average True Range indicator that eliminates gap distortion between trading sessions, providing cleaner volatility measurements for intraday and swing traders. Key Features: Gap Filtering: Optional toggle to ignore overnight/weekend gaps that distort volatility readings EMA Smoothing: Defaults to EMA for more responsive volatility tracking (also supports RMA and SMA) Half ATR Display: Shows 50% ATR value for quick stop-loss and take-profit calculations Clean Value Table: Real-time values displayed on chart with configurable decimal precision Flexible Settings: Customize length, smoothing method, and display options Ideal for: Setting dynamic stop losses and take profits Position sizing based on current volatility Comparing gap vs. no-gap volatility measurements Trading instruments with large overnight gaps (indices, forex, crypto) Use this indicator to get a more accurate picture of intraday volatility without the noise from session gaps!
אינדיקטור Pine Script®
מאת ‎itisfilipe‎
Commodity Channel Index Trend | DextraOverview A smart, noise-filtered CCI that transforms chaotic oscillations into clear trend states. Instead of flipping constantly, CCI Trend locks into bullish or bearish mode only when momentum truly breaks out — using hysteresis to eliminate false signals. Instant visual feedback via fully colored candles: - Emerald Green = Bullish trend locked - Hot Pink = Bearish trend locked How It Works 1. Calculates standard CCI using EMA and price deviation 2. Triggers trend only when CCI exits the neutral zone 3. Locks the state until CCI breaks the opposite threshold 4. Updates CCI line color and candle appearance in real time
אינדיקטור Pine Script®
מאת ‎xdextra‎
1
Smart Price Projection - Crypto Scalping V3Core Functionality Trend Detection System: Identifies swing highs/lows to detect breakouts Requires 3 confirmations: swing break + volume spike + momentum Uses ADX for trend strength validation Tracks price structure (higher highs, lower lows) Statistical Projection Engine: Stores historical trend data (duration & movement per bar) Filters by volatility regime (HIGH/MED/LOW) Uses exponentially weighted averages to favor recent patterns Projects 3 targets: Conservative (60%), Expected (100%), Aggressive (140%) Applies momentum decay over projection period Key Features: Adaptive: Adjusts projections based on current volatility regime Quality-aware: Compares current momentum to historical average Visual: Shows trend phase (EARLY/MID/LATE), momentum strength, ADX, volume Defensive: Won't project until sufficient sample size builds up Strengths ✅ Multiple confirmation layers reduce false signals ✅ Volatility-adjusted projections ✅ Momentum decay prevents unrealistic targets ✅ Clean visual feedback with emojis and color coding
אינדיקטור Pine Script®
מאת ‎Aarcan‎