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A Multi 10 indicatorREAD NOTE BEFORE APPLYING or you may think indicator doesnt work. This indicator is a revise of another i made and contains 10 Optional Indicators allowing you to load more then 3 indicators at once if you so choose and dont pay for the platform! Hopefully someone will find use for this script besides me :) I dont suggest turning all on at once because it will not look right. Alot will overlap if you wish but i only use the Session and trend bar at once in conjuction with a Oscillator setting like MacD , RSI , Stoch , Aroon or CCI . In the chart you see i only have a few indicators active ENJOY!! ---------- NOTE ----------- ( Everything is OFF by default and indicator SHOULD show up BLANK when loaded) ------------ NOTE ------------- (Can turn EVERYTHING on AND change any values in the format tab once indicator loads) Indicators included are listed below Sessions, including, NY session, Aussie session, Asian session, and Europe market sessions. MacD Split Colored , aroon oscillator CCI Oscillator , classic aroon RSI Oscillator , Elliot wave Stoch RSI Oscillator , ATR% My own Trend bar ---------- NOTE ----------- ( Everything is OFF by default and indicator SHOULD show up BLANK when loaded) ------------ NOTE ------------- (Can turn EVERYTHING on AND change any values in the format tab once indicator loads) CODE probably looks messey but this is something i made for me so i didnt really care lol
Indicatore Pine Script®
di penright
A Multi 10 indicatorREAD NOTE BEFORE APPLYING or you may think indicator doesnt work. This indicator is a revise of another i made and contains 10 Optional Indicators allowing you to load more then 3 indicators at once if you so choose and dont pay for the platform! Hopefully someone will find use for this script besides me :) I dont suggest turning all on at once because it will not look right. Alot will overlap if you wish but i only use the Session and trend bar at once in conjuction with a Oscillator setting like MacD , RSI , Stoch , Aroon or CCI . In the chart you see i only have a few indicators active ENJOY!! ---------- NOTE ----------- ( Everything is OFF by default and indicator SHOULD show up BLANK when loaded) ------------ NOTE ------------- (Can turn EVERYTHING on AND change any values in the format tab once indicator loads) NY session, Aussie session, Asian session, and Europe market sessions. MacD Split Colored , aroon oscillator CCI Oscillator , classic aroon RSI Oscillator , Elliot wave Stoch RSI Oscillator Aroon Oscillator My own Trend bar ---------- NOTE ----------- ( Everything is OFF by default and indicator SHOULD show up BLANK when loaded) ------------ NOTE ------------- (Can turn EVERYTHING on AND change any values in the format tab once indicator loads) CODE probably looks messey but this is something i made for me so i didnt really care lol
Indicatore Pine Script®
di penright
TKE INDICATOR by KıvanÇ fr3762TKE INDICATOR is created by Dr Yasar ERDINC (@yerdinc65 on twitter ) It's exactly the arithmetical mean of 7 most commonly used oscillators which are: RSI STOCHASTIC ULTIMATE OSCILLATOR MFI WIILIAMS %R MOMENTUM CCI the calculation is simple: TKE=(RSI+STOCHASTIC+ULTIMATE OSCILLATOR+MFI+WIILIAMS %R+MOMENTUM+CCI)/7 Buy signal: when TKE crosses above 20 value Oversold region: under 20 value Overbought region: over 80 value Another usage of TKE is with its EMA , You can add the EMA line of TKE in the settings menu by clicking the "Show EMA Line" button: the default value is defined as 5 bars of EMA of the TKE line, Go long: when TKE crosses above EMALine Go short: when TKE crosses below EMALine
Indicatore Pine Script®
di KivancOzbilgic
20
BUBD+ - Bats Ultimate Bullish Divergence DetectorBUBD checks for price divergence from oscillators across 6 different oscillators - MACD, CCI (Vol. weighted), RSI, Stochastic RSI, Money Flow and Relative Vigor index. Use it to find good entry spots for longs and also to find downtrend reversals. If this gets popular I will release a Bearish divergence indicator as well. Please check your stock/crypto across all time frames to get a hint of any developing "Bullish" divergences. In case you get mixed signals - Blue - RSI Purple - RVI Yellow - CCI Green - MACD Lime light green - MFI Orange - Stoch RSI Dont get confused by signals appearing on top and bottom all are bullish indicators. If you see a signal go to the respective oscillator to check the developing trend.
Indicatore Pine Script®
di UnknownUnicorn1178563
12
Civan Ali'nin Sihirli Çizgisi🧙‍♂️ Civan Ali’s Magic Line Sense the trends, don’t miss the moves! This strategy is built on two magically effective foundations: 📏 Moving Averages (WMA 50 & 200) and 🧠 CCI signals powered by the IFT Combo filter. How It Works 🔹 When price starts accelerating upward and the short-term average (WMA50) crosses above the long-term (WMA200), a potential long signal forms. 🔻 If it crosses downward, a short signal is considered. But it doesn’t jump in immediately! 🎯 To avoid “noisy” market moves, the system uses an Inverse Fisher Transform (IFT) filter. Only when momentum is truly strong does it allow trades. Why It’s Different ✅ Detects trend direction ✅ Filters out weak signals ✅ Manages risk and profit intelligently And while doing all that, it warns you with magical labels and emojis on the chart. In short: It’s both effective and entertaining. 🎯
Strategia Pine Script®
di ALCIVOOO
Ichimuku Momentum Strategy | VTS Pro📈 Ichimoku Momentum Strategy | VTS Pro By Alireza Mossaheb Description: This advanced strategy blends the timeless power of the Ichimoku Cloud with dynamic momentum and trend confirmation filters to generate high-quality trading signals. It offers ideal and golden signal detection, multi-layered entry and exit conditions, and flexible risk management features, making it suitable for both beginner and professional traders. Core Features: ✅ Multi-condition Ideal and Golden buy/sell signals 📊 Smart filters using RSI(7), CCI(26), ADX strength & slope, DI+/DI-, EMA200, volume, and higher-timeframe trend ☁️ Full Ichimoku Cloud system: Tenkan-sen, Kijun-sen, Senkou Spans A/B, and Chikou Span logic 🔄 Dynamic ATR-based trailing stop-loss system ⛳ Low time frame fractal-based exit logic 🔔 Profit alert system with real-time notifications and PnL labels 🧠 Fractal lines with both strict and loose calculation modes 📉 Adaptive to various timeframes and market types (forex, crypto, indices, etc.) This script is designed for serious traders who need strong signal validation, smart exit options, and clear visual cues for entry and exit timing.
Indicatore Pine Script®
di VTSPRO
1
Z Score 主图策略 — v1.02Hello Traders, Here is my new year gift for the community, Digergence for Many Indicators v4. I tried to make it modular and readable as much as I can. Thanks to Pine Team for improving Pine Platform all the time! How it works? - On each candle it checks divergences between current and any of last 16 Pivot Points for the indicators. - it search divergence on choisen indicators => RSI , MACD , MACD Histogram, Stochastic , CCI , Momentum, OBV, VWMACD, CMF and any External Indicator! - it checks following divergences for 16 pivot points that is in last 100 bars for each Indicator. --> Regular Positive Digergences --> Regular Negative Digergences --> Hidden Positive Digergences --> Hidden Negative Digergences - for positive divergences first it checks if closing price is higher than last closing price and indicator value is higher than perious value, then start searching divergence - for negative divergences first it checks if closing price is lower than last closing price and indicator value is lower than perious value, then start searching divergence Some Options: Pivot Period: you set Pivot Period as you wish. you can see Pivot Points using "Show Pivot Points" option Source for Pivot Points: you can use Close or High/Low as source Divergence Type: you can choose Divergence type to be shown => "Regular", "Hidden", "Regular/Hidden" Show Indicator Names: you have different options to show indicator names => "Full", "First Letter", "Don't Show" Show Divergence Number: option to see number of indicators which has Divergence Show Only Last Divergence: if you enable this option then it shows only last Positive and Negative Divergences you can include any External Indicator to see if there is divergence - enable "Check External Indicator" - and then choose External indicator name in the list, "External Indicator" - External indicator name is shown as Extrn - related external indicator must be added before enabling this option Coloring, line width and line style options for different type of divergences. Following Alerts added: - Positive Regular Divergence Detected - Negative Regular Divergence Detected - Positive Hidden Divergence Detected - Negative Hidden Divergence Detected Now lets see some examples:
Strategia Pine Script®
di cqxistus82
TZADIKAOTTZA1.2 - Triple Convergence🚀 *TZADIK – Triple Convergence* The ultimate convergence indicator that brings clarity through the power of consensus. *What’s Inside?* A smart fusion of *3 powerful momentum-based indicators*: * *SMI (Stochastic Momentum Index)* * *Stochastic RSI* * *CCI Stochastic* 📊 Each one generates its own buy/sell signal — and TZADIKAOT combines them into a clear, unified consensus: * ✅ *3/3 BUY / SELL* – Strong entry signals * ⚠ *2/3 BUY / SELL* – Moderate signals worth watching * ⚪ *Neutral* – No consensus yet 🎯 *Features*: ✔ Dynamic score histogram ✔ Color-coded background zones ✔ Visual arrows + status labels ✔ Real-time signal table ✔ Built-in alerts for full consensus *Who is it for?* Traders who want structured, data-driven signals instead of noise — and a single, trustworthy indicator to guide their decisions. 💡 Designed for clarity, precision, and ease of use on *any timeframe*. No more guesswork. Just signals that matter.
Indicatore Pine Script®
di tnatan1995
TZADIKAOT - Triple Convergence🚀 *TZADIK – Triple Convergence* The ultimate convergence indicator that brings clarity through the power of consensus. *What’s Inside?* A smart fusion of *3 powerful momentum-based indicators*: * *SMI (Stochastic Momentum Index)* * *Stochastic RSI* * *CCI Stochastic* 📊 Each one generates its own buy/sell signal — and TZADIKAOT combines them into a clear, unified consensus: * ✅ *3/3 BUY / SELL* – Strong entry signals * ⚠ *2/3 BUY / SELL* – Moderate signals worth watching * ⚪ *Neutral* – No consensus yet 🎯 *Features*: ✔ Dynamic score histogram ✔ Color-coded background zones ✔ Visual arrows + status labels ✔ Real-time signal table ✔ Built-in alerts for full consensus *Who is it for?* Traders who want structured, data-driven signals instead of noise — and a single, trustworthy indicator to guide their decisions. 💡 Designed for clarity, precision, and ease of use on *any timeframe*. No more guesswork. Just signals that matter.
Indicatore Pine Script®
di tnatan1995
Magnificent 7 OscillatorThe Magnificent 7 Oscillator is a sophisticated momentum-based technical indicator designed to analyze the collective performance of the seven largest technology companies in the U.S. stock market (Apple, Microsoft, Alphabet, Amazon, NVIDIA, Tesla, and Meta). This indicator incorporates established momentum factor research and provides three distinct analytical modes: absolute momentum tracking, equal-weighted market comparison, and relative performance analysis. The tool integrates five different oscillator methodologies and includes advanced breadth analysis capabilities. Theoretical Foundation Momentum Factor Research The indicator's foundation rests on seminal momentum research in financial markets. Jegadeesh and Titman (1993) demonstrated that stocks with strong price performance over 3-12 month periods tend to continue outperforming in subsequent periods¹. This momentum effect was later incorporated into formal factor models by Carhart (1997), who extended the Fama-French three-factor model to include a momentum factor (UMD - Up Minus Down)². The momentum calculation methodology follows the academic standard: Momentum(t) = / P(t-n) × 100 Where P(t) is the current price and n is the lookback period. The focus on the "Magnificent 7" stocks reflects the increasing market concentration observed in recent years. Fama and French (2015) noted that a small number of large-cap stocks can drive significant market movements due to their substantial index weights³. The combined market capitalization of these seven companies often exceeds 25% of the total S&P 500, making their collective momentum a critical market indicator. Indicator Architecture Core Components 1. Data Collection and Processing The indicator employs robust data collection with error handling for missing or invalid security data. Each stock's momentum is calculated independently using the specified lookback period (default: 14 periods). 2. Composite Oscillator Calculation Following Fama-French factor construction methodology, the indicator offers two weighting schemes: - Equal Weight: Each active stock receives identical weighting (1/n) - Market Cap Weight: Reserved for future enhancement 3. Oscillator Transformation Functions The indicator provides five distinct oscillator types, each with established technical analysis foundations: a) Momentum Oscillator (Default) - Pure rate-of-change calculation - Centered around zero - Direct implementation of Jegadeesh & Titman methodology b) RSI (Relative Strength Index) - Wilder's (1978) relative strength methodology - Transformed to center around zero for consistency - Scale: -50 to +50 c) Stochastic Oscillator - George Lane's %K methodology - Measures current position within recent range - Transformed to center around zero d) Williams %R - Larry Williams' range-based oscillator - Inverse stochastic calculation - Adjusted for zero-centered display e) CCI (Commodity Channel Index) - Donald Lambert's mean reversion indicator - Measures deviation from moving average - Scaled for optimal visualization Operational Modes Mode 1: Magnificent 7 Analysis Tracks the collective momentum of the seven constituent stocks. This mode is optimal for: - Technology sector analysis - Growth stock momentum assessment - Large-cap performance tracking Mode 2: S&P 500 Equal Weight Comparison Analyzes momentum using an equal-weighted S&P 500 reference (typically RSP ETF). This mode provides: - Broader market momentum context - Size-neutral market analysis - Comparison baseline for relative performance Mode 3: Relative Performance Analysis Calculates the momentum differential between Magnificent 7 and S&P 500 Equal Weight. This mode enables: - Sector rotation analysis - Style factor assessment (Growth vs. Value) - Relative strength identification Formula: Relative Performance = MAG7_Momentum - SP500EW_Momentum Signal Generation and Thresholds Signal Classification The indicator generates three signal states: - Bullish: Oscillator > Upper Threshold (default: +2.0%) - Bearish: Oscillator < Lower Threshold (default: -2.0%) - Neutral: Oscillator between thresholds Relative Performance Signals In relative performance mode, specialized thresholds apply: - Outperformance: Relative momentum > +1.0% - Underperformance: Relative momentum < -1.0% Alert System Comprehensive alert conditions include: - Threshold crossovers (bullish/bearish signals) - Zero-line crosses (momentum direction changes) - Relative performance shifts - Breadth Analysis Component The indicator incorporates market breadth analysis, calculating the percentage of constituent stocks with positive momentum. This feature provides insights into: - Strong Breadth (>60%): Broad-based momentum - Weak Breadth (<40%): Narrow momentum leadership - Mixed Breadth (40-60%): Neutral momentum distribution Visual Design and User Interface Theme-Adaptive Display The indicator automatically adjusts color schemes for dark and light chart themes, ensuring optimal visibility across different user preferences. Professional Data Table A comprehensive data table displays: - Current oscillator value and percentage - Active mode and oscillator type - Signal status and strength - Component breakdowns (in relative performance mode) - Breadth percentage - Active threshold levels Custom Color Options Users can override default colors with custom selections for: - Neutral conditions (default: Material Blue) - Bullish signals (default: Material Green) - Bearish signals (default: Material Red) Practical Applications Portfolio Management - Sector Allocation: Use relative performance mode to time technology sector exposure - Risk Management: Monitor breadth deterioration as early warning signal - Entry/Exit Timing: Utilize threshold crossovers for position sizing decisions Market Analysis - Trend Identification: Zero-line crosses indicate momentum regime changes - Divergence Analysis: Compare MAG7 performance against broader market - Volatility Assessment: Oscillator range and frequency provide volatility insights Strategy Development - Factor Timing: Implement growth factor timing strategies - Momentum Strategies: Develop systematic momentum-based approaches - Risk Parity: Use breadth metrics for risk-adjusted portfolio construction Configuration Guidelines Parameter Selection - Momentum Period (5-100): Shorter periods (5-20) for tactical analysis, longer periods (50-100) for strategic assessment - Smoothing Period (1-50): Higher values reduce noise but increase lag - Thresholds: Adjust based on historical volatility and strategy requirements Timeframe Considerations - Daily Charts: Optimal for swing trading and medium-term analysis - Weekly Charts: Suitable for long-term trend analysis - Intraday Charts: Useful for short-term tactical decisions Limitations and Considerations Market Concentration Risk The indicator's focus on seven stocks creates concentration risk. During periods of significant rotation away from large-cap technology stocks, the indicator may not represent broader market conditions. Momentum Persistence While momentum effects are well-documented, they are not permanent. Jegadeesh and Titman (1993) noted momentum reversal effects over longer time horizons (2-5 years). Correlation Dynamics During market stress, correlations among the constituent stocks may increase, reducing the diversification benefits and potentially amplifying signal intensity. Performance Metrics and Backtesting The indicator includes hidden plots for comprehensive backtesting: - Individual stock momentum values - Composite breadth percentage - S&P 500 Equal Weight momentum - Relative performance calculations These metrics enable quantitative strategy development and historical performance analysis. References ¹Jegadeesh, N., & Titman, S. (1993). Returns to buying winners and selling losers: Implications for stock market efficiency. Journal of Finance, 48(1), 65-91. Carhart, M. M. (1997). On persistence in mutual fund performance. Journal of Finance, 52(1), 57-82. Fama, E. F., & French, K. R. (2015). A five-factor asset pricing model. Journal of Financial Economics, 116(1), 1-22. Wilder, J. W. (1978). New concepts in technical trading systems. Trend Research.
Indicatore Pine Script®
di EdgeTools
5
Combined ATPC & MACD DivergenceTrend Optimizer + Divergence Finder in One Unified Tool 🔍 Overview: This powerful dual-system indicator merges two proven analytical engines: ✅ The Algorganic Typical Price Channel (ATPC) — a custom trend oscillator that highlights mean-reversion and directional bias. ✅ A refined MACD system with divergence detection, enhanced with an adjusted Donchian midline for real-time trend strength filtering. Together, they provide a high-confidence, multi-signal system ideal for swing trading, scalping, or confirming reversals with context. ⚙️ Core Components & Logic 🧠 1. ATPC Engine (Trend Commodity Index) A momentum and volatility-normalized oscillator based on the typical price (H+L+C)/3: TrendCI Line (Blue) – Main trend signal based on smoothed CCI logic. TrendLine2 (Orange) – A slower smoothing of TrendCI for crossovers. Key Zones (customizable): 🔴 Ultra Overbought: +73 🟣 Overbought: +58 🟣 Oversold: -58 🔴 Ultra Oversold: -73 Trade Logic: ✅ Buy Signal: TrendCI crosses above TrendLine2 while in oversold zone ❌ Sell Signal: TrendCI crosses below TrendLine2 while in overbought zone Additional visual feedback: Histogram Bars show strength and direction of momentum shift Green/Red Circles highlight potential long/short setups 📉 2. MACD System + Divergence Finder Classic MACD enhanced with a Donchian Midline overlay to filter trend bias. 🔷 MACD Line and 🟠 Signal Line show crossover momentum 🟩/🟥 Histogram shows distance from the signal line 🟪 Adjusted Donchian Midline dynamically adapts to range-bound vs trending environments Background Color provides real-time trend state: ✅ Green = Bullish Trend ❌ Red = Bearish Trend No color = Neutral / Choppy MACD Boundaries (user-defined): Overbought: +1.0 Oversold: -1.0 🔀 3. Divergence Detection Spot hidden power shifts before price reacts: 🔼 Positive Divergence – Price makes lower lows, but MACD histogram rises 🔽 Negative Divergence – Price makes higher highs, but MACD histogram weakens These are visually marked with: Green “+Div” label (bullish reversal cue) Red “–Div” label (bearish exhaustion signal) 🎯 How to Use It For Trend Traders: Stay in sync with macro trend using MACD histogram + background Use ATPC crossovers for precision entries Avoid signals during neutral background (chop filter) For Reversal Traders: Look for bullish +Div with ATPC buy signal in oversold zone Look for bearish –Div with ATPC sell signal in overbought zone Mid-Donchian line can act as confluence or breakout trigger For Scalpers & Intraday Traders: Combine with VWAP, liquidity zones, or order flow levels ATPC crossovers + MACD histogram zero-line flip = potential scalp entry Use histogram slope and divergence to avoid false momentum traps 🧩 Customizable Inputs 🎛️ ATPC: Channel & Smoothing lengths, overbought/oversold thresholds 🎛️ MACD: Fast/slow EMAs, signal smoothing, Donchian period, bounds 🎨 Fully theme-compatible with adjustable colors and line styles 🔔 Alerts (Add Your Own) While this version doesn’t contain built-in alerts, you can easily add alerts based on: buySignal or sellSignal from ATPC logic Histogram cross zero or trend flip MACD Divergence event 📜 “This indicator doesn't just show signals—it tells a story about who’s in control of the market, and when that control might be slipping.”
Indicatore Pine Script®
di herose4the
QG-Particle OscillatorThis is an advanced oscillator based on auxiliary particle filter. It separates signal from noise and uses smoothing algorithm similar to JMA. The main oscillator line is a smoothed and detrended version of the price series similar to detrended oscillator line. The purple/aqua lines are a prediction based on an additional adaptive smoothing technique and current volatility. The prediction is smoothed twice and is supposed to represent the true signal without any noise, thus the prediction should always be less than the raw detrend line. However, certain volatile conditions will cause the prediction to cross above/below the detrend line. When this happens the likelihood of a reversal or pullback is extremely high. There are 3 dots on the zero line- Red, Green and Yellow. The yellow dots warn of an eminent pullback 2 bars before it actually occurs. This is a non-repainting indicator. One can also use this indicator to trade CCI signals, similar to zero line rejection in existing trend. The indicator has 2 settings- Period and Phase. The phase represents cycle phase and Period represents oscillator period. Credits: This indicator has been originally published for Ninjatrader and this is conversion into pinescript.
Indicatore Pine Script®
di QuantG
TTM Scalper AlertTTM Scalper Alert — Real-Time Pivot Detector Description: This is a custom implementation of the classic TTM Scalper Alert, adapted to show early pivot detection and trend structure tracking in real-time. The script identifies potential highs and lows before the full pivot confirmation—giving traders an early edge—and removes outdated signals once pivots are confirmed. It supports two levels of detection: Fast Alert Pivots : Identified after Alert Period candles confirm a local reversal. Confirmed Pivots : Validated only after Pivot Period candles on both sides ensure a true swing high/low. How It Works: Fast Detection (Early Pivots): Detected after Alert Period (AP) candles. These are provisional signals, shown as triangle labels (▲▼) near current price. Only the latest signal is shown; previous fast pivots are deleted to avoid clutter. Confirmed Pivots: Detected with a full lookback of Pivot Period (PP) on both sides of the candle. Shown using plotshape with triangle markers (▲▼). Serve as anchors for price structure analysis (HH-HL or LL-LH tracking). Custom Source Option: Users can choose to base pivots on High/Low or Close/Open range. Helps adjust sensitivity depending on volatility or bar structure. How to Interpret: Trend & Market Structure: Use Confirmed Pivots (plotshapes) to analyze market structure: HH → HL: Uptrend LL → LH: Downtrend Watch for breaks in structure for possible reversals Early Alerts: The floating labels (▲▼) represent early warnings of a potential pivot. Use them to anticipate: Short-term exhaustion Quick scalping entries Divergence setups Inputs: Source : Choose from High/Low or Close/Open — affects how pivots are calculated Alert Period : How fast the script detects an early reversal pattern (used for entry timing) Pivot Period : How many candles before/after to confirm a full pivot (used for structural analysis) Best For: Traders who follow price action and structure Scalpers and intraday traders who want early signals Anyone using pivot highs/lows for confluence with other tools (like RSI divergence, Bollinger Bands, VWAP, etc.) Pro Tips: Combine this with: Trend Magic or Supertrend for directional bias Volume spike filters to confirm reversal intent RSI/CCI divergence to strengthen reversal pivots Adjust Alert Period to tune early signal sensitivity (lower = faster but noisier)
Indicatore Pine Script®
di alexrainman
3
CSCMultiTimeframeToolsLibrary "CSCMultiTimeframeTools" Calculates instant higher timeframe values for higher timeframe analysis with zero lag. getAdjustedLookback(current_tf_minutes, higher_tf_minutes, length)   Calculate adjusted lookback period for higher timeframe conversion.   Parameters:      current_tf_minutes (int) : Current chart timeframe in minutes (e.g., 5 for 5m).      higher_tf_minutes (int) : Target higher timeframe in minutes (e.g., 15 for 15m).      length (int) : Base length value (e.g., 14 for RSI/MFI).   Returns: Adjusted lookback period (length × multiplier). Purpose and Benefits of the TimeframeTools Library This library is designed to solve a critical pain point for traders who rely on higher timeframe (HTF) indicator values while analyzing lower timeframe (LTF) charts. Traditional methods require waiting for multiple candles to close—for example, to see a 1-hour RSI on a 5-minute chart, you’d need 12 closed candles (5m × 12 = 60m) before the value updates. This lag means missed opportunities, delayed signals, and inefficient decision-making. Why Traders Need This Whether you’re scalping (5M/15M) or swing trading (1H/4H), this library bridges the gap between timeframes, giving you HTF context in real time—so you can act faster, with confidence. How This Library Eliminates the Waiting Game By dynamically calculating the adjusted lookback period, the library allows: Real-time HTF values on LTF charts – No waiting for candle closes. Accurate conversions – A 14-period RSI on a 1-hour chart translates to 168 periods (14 × 12) on a 5-minute chart, ensuring mathematical precision. Flexible application – Works with common indicators like RSI, MFI, CCI, and moving averages (though confirmations should be done before publishing under your own secondary use). Key Advantages Over Manual Methods Speed: Instantly reflects HTF values without waiting for candle resolutions. Adaptability: Adjusts automatically if the user changes timeframes or lengths. Consistency: Removes human error in manual period calculations. Limitations to Note Not a magic bullet – While it solves the lag issue, traders should still: Validate signals with price action or additional confirmations. Be mindful of extreme lookback lengths (e.g., a 200-period daily SMA on a 1-minute chart requires 28,800 periods, which may strain performance).
Libreria Pine Script®
di CoffeeshopCrypto
2
SuperTrader Trend Analysis and Trade Study DashboardSuperTrader Trend Analysis and Trade Study Dashboard Overview This script offers a multi-faceted look at market behavior. It combines signals from different momentum indicators, daily cross checks, and a specialized dashboard to reveal trend strength, potential divergences, and how far price has traveled from its recent averages. Three Musketeers Method This script uses a special set of three indicators (the “Three Musketeers”) to determine bullish or bearish pressure on the current chart. Trend Condition – Compares fast vs. slow EMAs (50 and 200) and checks which side of the line price is favoring. Mean Reversion Condition – Watches RSI crossing typical oversold or overbought thresholds (e.g., crossing above 30 or below 70). Bollinger Condition – Checks whether price pushes above/below the Bollinger Bands (based on a 20 SMA + standard deviations). When at least two out of these three conditions align in a bullish way, the script issues a Buy Signal . Conversely, if at least two align in a bearish way, a Sell Signal is triggered. This “Three Musketeers” synergy ensures multiple confirmations before calling a potential market turn. Mag 8 Daily Performance The script tracks eight highly influential stocks (AAPL, AMZN, GOOG, NFLX, NVDA, TSLA, META, MSFT) to see which are green (higher) or red (lower) compared to yesterday’s close. It then prints a quick tally – helpful in gauging overall market mood via these major players. Golden / Death Cross Signals On a daily time frame, the script notes when the 50-day SMA crosses above or below the 200-day SMA. A “Golden Cross” often signals rising momentum, while a “Death Cross” can hint at oncoming weakness. RSI & Divergence Checks RSI helps identify hidden turning points. Whenever a bullish or bearish divergence is spotted, the script updates you via a concise readout. Hardcoded Settings EMA lengths for trend checks, Bollinger parameters, etc., are locked in, letting you focus on adjusting only the pivotal study inputs (e.g., RSI length, VIDYA momentum). VIDYA Trend Line & Fill Built on an adaptive Variable Index Dynamic Average, it plots a line that quickly reacts to changing momentum. Users can set a “Trend Band Distance” to mark ATR-based thresholds around that line, identifying possible breakouts or breakdowns. YoYo Distance This concept measures how far price strays from SMA(10). If it’s too far, the script colors your display to indicate potential snapbacks. Gap Up/Down Probability By weighing volume, MACD signals, and whether price sits above/below its midrange, the script estimates probabilities of a gap up or down on the next daily candle. Table Output & Trend Label Turning on Show Table Widget reveals a quick dashboard on the chart detailing RSI, CCI, divergences, bull/bear scores, and more. A label on the last bar further summarizes overall trend, gap distance, and the Mag 8 snapshot – perfect for a fast read of current market posture. Use this script to unify multiple signals in one place, see how far price has ventured from typical patterns, and get daily cross signals plus real-time bullish/bearish calls – all at a glance.
Indicatore Pine Script®
di Midgar-
7
Multi-Anchored Linear Regression Channels [TANHEF]█ Overview: The 'Multi-Anchored Linear Regression Channels ' plots multiple dynamic regression channels (or bands) with unique selectable calculation types for both regression and deviation. It leverages a variety of techniques, customizable anchor sources to determine regression lengths, and user-defined criteria to highlight potential opportunities. Before getting started, it's worth exploring all sections, but make sure to review the Setup & Configuration section in particular. It covers key parameters like anchor type, regression length, bias, and signal criteria—essential for aligning the tool with your trading strategy. █ Key Features: ⯁ Multi-Regression Capability: Plot up to three distinct regression channels and/or bands simultaneously, each with customizable anchor types to define their length. ⯁ Regression & Deviation Methods: Regressions Types: Standard: Uses ordinary least squares to compute a simple linear trend by averaging the data and deriving a slope and endpoints over the lookback period. Ridge: Introduces L2 regularization to stabilize the slope by penalizing large coefficients, which helps mitigate multicollinearity in the data. Lasso: Uses L1 regularization through soft-thresholding to shrink less important coefficients, yielding a simpler model that highlights key trends. Elastic Net: Combines L1 and L2 penalties to balance coefficient shrinkage and selection, producing a robust weighted slope that handles redundant predictors. Huber: Implements the Huber loss with iteratively reweighted least squares (IRLS) and EMA-style weights to reduce the impact of outliers while estimating the slope. Least Absolute Deviations (LAD): Reduces absolute errors using iteratively reweighted least squares (IRLS), yielding a slope less sensitive to outliers than squared-error methods. Bayesian Linear: Merges prior beliefs with weighted data through Bayesian updating, balancing the prior slope with data evidence to derive a probabilistic trend. Deviation Types: Regressive Linear (Reverse): In reverse order (recent to oldest), compute weighted squared differences between the data and a line defined by a starting value and slope. Progressive Linear (Forward): In forward order (oldest to recent), compute weighted squared differences between the data and a line defined by a starting value and slope. Balanced Linear: In forward order (oldest to newest), compute regression, then pair to source data in reverse order (newest to oldest) to compute weighted squared differences. Mean Absolute: Compute weighted absolute differences between each data point and its regression line value, then aggregate them to yield an average deviation. Median Absolute: Determine the weighted median of the absolute differences between each data point and its regression line value to capture the central tendency of deviations. Percent: Compute deviation as a percentage of a base value by multiplying that base by the specified percentage, yielding symmetric positive and negative deviations. Fitted: Compare a regression line with high and low series values by computing weighted differences to determine the maximum upward and downward deviations. Average True Range: Iteratively compute the weighted average of absolute differences between the data and its regression line to yield an ATR-style deviation measure. Bias: Bias: Applies EMA or inverse-EMA style weighting to both Regression and/or Deviation, emphasizing either recent or older data. ⯁ Customizable Regression Length via Anchors: Anchor Types: Fixed: Length. Bar-Based: Bar Highest/Lowest, Volume Highest/Lowest, Spread Highest/Lowest. Correlation: R Zero, R Highest, R Lowest, R Absolute. Slope: Slope Zero, Slope Highest, Slope Lowest, Slope Absolute. Indicator-Based: Indicators Highest/Lowest (ADX, ATR, BBW, CCI, MACD, RSI, Stoch). Time-Based: Time (Day, Week, Month, Quarter, Year, Decade, Custom). Session-Based: Session (Tokyo, London, New York, Sydney, Custom). Event-Based: Earnings, Dividends, Splits. External: Input Source Highest/Lowest. Length Selection: Maximum: The highest allowed regression length (also fixed value of “Length” anchor). Minimum: The shortest allowed length, ensuring enough bars for a valid regression. Step: The sampling interval (e.g., 1 checks every bar, 2 checks every other bar, etc.). Increasing the step reduces the loading time, most applicable to “Slope” and “R” anchors. Adaptive lookback: Adaptive Lookback: Enable to display regression regardless of too few historical bars. ⯁ Selecting Bias: Bias applies separately to regression and deviation. Positive values emphasize recent data (EMA-style), negative invert, and near-zero maintains balance. (e.g., a length 100, bias +1 gives the newest price ~7× more weight than the oldest). It's best to apply bias to both (regression and deviation) or just the deviation. Biasing only regression may distort deviation visually, while biasing both keeps their relationship intuitive. Using bias only for deviation scales it without altering regression, offering unique analysis. ⯁ Scale Awareness: Supports linear and logarithmic price scaling, the regression and deviations adjust accordingly. ⯁ Signal Generation & Alerts: Customizable entry/exit signals and alerts, detailed in the dedicated section below. ⯁ Visual Enhancements & Real-World Examples: Optional on-chart table display summarizing regression input criteria (display type, anchor type, source, regression type, regression bias, deviation type, deviation bias, deviation multiplier) and key calculated metrics (regression length, slope, Pearson’s R, percentage position within deviations, etc.) for quick reference. █ Understanding R (Pearson Correlation Coefficient): Pearson’s R gauges data alignment to a straight-line trend within the regression length: Range: R varies between –1 and +1. R = +1 → Perfect positive correlation (strong uptrend). R = 0 → No linear relationship detected. R = –1 → Perfect negative correlation (strong downtrend). This script uses Pearson’s R as an anchor, adjusting regression length to target specific R traits. Strong R (±1) follows the regression channel, while weak R (0) shows inconsistency. █ Understanding the Slope: The slope is the direction and rate at which the regression line rises or falls per bar: Positive Slope (>0): Uptrend – Steeper means faster increase. Negative Slope (<0): Downtrend – Steeper means sharper drop. Zero or Near-Zero Slope: Sideways – Indicating range-bound conditions. This script uses highest and lowest slope as an anchor, where extremes highlight strong moves and trend lines, while values near zero indicate sideways action and possible support/resistance. █ Setup & Configuration: Whether you’re new to this script or want to quickly adjust all critical parameters, the panel below shows the main settings available. You can customize everything from the anchor type and maximum length to the bias, signal conditions, and more. Scale (select Log Scale for logarithmic, otherwise linear scale). Display (regression channel and/or bands). Anchor (how regression length is determined). Length (control bars analyzed): • Max – Upper limit. • Min – Prevents regression from becoming too short. • Step – Controls scanning precision; increasing Step reduces load time. Regression: • Type – Calculation method. • Bias – EMA-style emphasis (>0=new bars weighted more; <0=old bars weighted more). Deviation: • Type – Calculation method. • Bias – EMA-style emphasis (>0=new bars weighted more; <0=old bars weighted more). • Multiplier - Adjusts Upper and Lower Deviation. Signal Criteria: • % (Price vs Deviation) – (0% = lower deviation, 50% = regression, 100% = upper deviation). • R – (0 = no correlation, ±1 = perfect correlation; >0 = +slope, <0 = -slope). Table (analyze table of input settings, calculated results, and signal criteria). Adaptive Lookback (display regression while too few historical bars). Multiple Regressions (steps 2 to 7 apply to #1, #2, and #3 regressions). █ Signal Generation & Alerts: The script offers customizable entry and exit signals with flexible criteria and visual cues (background color, dots, or triangles). Alerts can also be triggered for these opportunities. Percent Direction Criteria: (0% = lower deviation, 50% = regression line, 100% = upper deviation) Above %: Triggers if price is above a specified percent of the deviation channel. Below %: Triggers if price is below a specified percent of the deviation channel. (Blank): Ignores the percent‐based condition. Pearson's R (Correlation) Direction Criteria: (0 = no correlation, ±1 = perfect correlation; >0 = positive slope, <0 = negative slope) Above R / Below R: Compares the correlation to a threshold. Above│R│ / Below│R│: Uses absolute correlation to focus on strength, ignoring direction. Zero to R: Checks if R is in the 0-to-threshold range. (Blank): Ignores correlation-based conditions. █ User Tips & Best Practices: Choose an anchor type that suits your strategy, “Bar Highest/Lowest” automatically spots commonly used regression zones, while “│R│ Highest” targets strong linear trends. Consider enabling or disabling the Adaptive Lookback feature to ensure you always have a plotted regression if your chart doesn’t meet the maximum-length requirement. Use a small Step size (1) unless relying on R-correlation or slope-based anchors as the are time-consuming to calculate. Larger steps speed up calculations but reduce precision. Fine-tune settings such as lookback periods, regression bias, and deviation multipliers, or trend strength. Small adjustments can significantly affect how channels and signals behave. To reduce loading time , show only channels (not bands) and disable signals, this limits calculations to the last bar and supports more extreme criteria. Use the table display to monitor anchor type, calculated length, slope, R value, and percent location at a glance—especially if you have multiple regressions visible simultaneously. █ Conclusion: With its blend of advanced regression techniques, flexible deviation options, and a wide range of anchor types, this indicator offers a highly adaptable linear regression channeling system. Whether you're anchoring to time, price extremes, correlation, slope, or external events, the tool can be shaped to fit a variety of strategies. Combined with customizable signals and alerts, it may help highlight areas of confluence and support a more structured approach to identifying potential opportunities.
Indicatore Pine Script®
di TanHef
12
Volume +OBV + ADXVolume + OBV + ADX Table Optimized Buyer & Seller Volume with Trend Indications Overview: This indicator provides a comprehensive view of market participation and trend strength by integrating Volume, On Balance Volume (OBV) trends, and ADX (Average Directional Index) signals into a visually structured table. Designed for quick decision-making, it highlights buyer and seller dominance while comparing the selected stock with another custom symbol. Features: ✅ Buyer & Seller Volume Analysis: Computes buyer and seller volume percentages based on market movements. Displays daily cumulative volume statistics to assess ongoing market participation. ✅ On Balance Volume (OBV) Trends: Identifies positive, negative, or neutral OBV trends using an advanced smoothing mechanism. Highlights accumulation or distribution phases with colored visual cues. ✅ ADX-Based Trend Confirmation: Evaluates Directional Indicators (DI+ and DI-) to determine the trend direction. Uses customizable ADX settings to filter out weak trends. Provides uptrend, downtrend, or neutral signals based on strength conditions. ✅ Custom Symbol Comparison: Allows users to compare two different assets (e.g., a stock vs. an index or ETF). Displays a side-by-side comparison of volume dynamics and trend strength. ✅ User-Friendly Table Display: Presents real-time calculations in a compact and structured table format. Uses color-coded trend signals for easier interpretation. Recommended Usage for Best Results: 📌 Pairing this indicator with Sri_Momentum and Sri(+) Pivot will enhance accuracy and provide better trade confirmations. 📌 Adding other major indicators like RSI, CCI, etc., will further increase the probability of winning trades. How to Use: Select a custom symbol for comparison. Adjust ADX settings based on market conditions. Analyze the table to identify buyer/seller dominance, OBV trends, and ADX trend strength. Use the combined signals to confirm trade decisions and market direction. Best Use Cases: 🔹 Trend Confirmation – Validate breakout or reversal signals. 🔹 Volume Strength Analysis – Assess buyer/seller participation before entering trades. 🔹 Multi-Asset Comparison – Compare the behavior of two related instruments. This indicator is ideal for traders looking to combine volume dynamics with trend-following strategies. 🚀📈
Indicatore Pine Script®
di venkat_27
Dual Zigzag [Trendoscope®]🎲 Dual Zigzag indicator is built on recursive zigzag algorithm. It is very similar to other zigzag indicators published by us and other authors. However, the key point here is, the indicator draws zigzag on both price and any other plot based indicator on separate layouts. Before we get into the indicator, here are some brief descriptions of the underlying concepts and key terminologies 🎯 Zigzag Zigzag indicator breaks down price or any input series into a series of Pivot Highs and Pivot Lows alternating between each other. Zigzags though shows pivot high and lows, should not be used for buying at low and selling at high. The main application of zigzag indicator is for the visualisation of market structure and this can be used as basic building block for any pattern recognition algorithms. 🎯 Recursive Zigzag Algorithm Recursive zigzag algorithm builds zigzag on multiple levels and each level of zigzag is based on the previous level pivots. The level zero zigzag is built on price. However, for level 1, instead of price level 0 zigzag pivots are used. Similarly for level 2, level 1 zigzag pivots are used as base. 🎲 Components Dual Zigzag Indicator Here are the components of Dual zigzag indicator Built in Oscillator - Indicator has built in oscillator options for plotting RSI (Relative Strength Index), MFI (Money Flow Index), cci (Commodity Channel Index) , CMO (Chande Momentum Oscillator), COG (Center of Gravity), and ROC (Rate of Change). Apart from the given built in oscillators, users can also use a custom external output as base. The oscillators are not printed on the price pane. But, printed on a separate indicator overlay. Zigzag On Oscillator - Recursive zigzag is calculated and printed on the oscillator series. Each pivot high and pivot low also prints a label having the retracement ratios, and price levels at those points. Zigzag on the oscillator is also printed on the indicator overlay pane. Zigzag on Price - Recursive zigzag calculated based on price and printed on the price pane. This is made possible by using force_overlay option present in the drawing objects. At each zigzag pivot levels, the label having price retracement ratios, and oscillator values are printed. It is called dual zigzag because, the indicator calculates the zigzag on both price and oscillator series of values and prints them separately on different panes on the chart. 🎲 Indicator Settings Settings include Theme display settings to get the right colour combination to match the background. Zigzag settings to be used for zigzag calculation and display Oscillator settings to chose the oscillator to be used as base for 2nd zigzag 🎲 Applications Useful in spotting divergences with both indicator and price having their own zigzag to highlight pivots Spotting patterns in indicators/oscillators and correlate them with the patterns on price 🎲 Using External Input If users want to use an external indicator such as OBV instead of the built in oscillators, then can do so by using the custom option. Here is how this can be done. Step1. Add both Dual Zigzag and the intended indicator (in this case OBV) on the chart. Notice that both OBV and Dual zigzag appear on different panes. Step2. Edit the indicator settings of Dual zigzag and set custom indicator by selecting "custom" as oscillator name and then by setting the custom external indicator name and input. Step 3. You would notice that the zigzag in Dual Zigzag indictor pane is already showing the zigzag pivots based on the OBV indicator and the price pivots display obv values at the pivot points. We can leave this as is. Step 4. As an additional step, you can also merge the OBV pane and the Dual zigzag indicator pane into one by going into OBV settings and moving the indicator to above pane. Merge the scales so that there is no two scales on the same pane and the entire scale appear on the right. At the end, you should see two panes - one with price and other with OBV and both having their zigzag plotted.
Indicatore Pine Script®
di Trendoscope
12
Strength of Divergence Across Multiple Indicators (+CMF&VWMACD)Modified Version of Strength of Divergence Across Multiple Indicators by reees Purpose: This Pine Script indicator is designed to identify and evaluate the strength of bullish and bearish divergences across multiple technical indicators. Divergences occur when the price of an asset is moving in one direction while a technical indicator is moving in the opposite direction, potentially signaling a trend reversal. Key Features: 1. Multiple Indicator Support: The script now analyzes divergences for the following indicators: * RSI (Relative Strength Index) * OBV (On-Balance Volume) * MACD (Moving Average Convergence/Divergence) * STOCH (Stochastic Oscillator) * CCI (Commodity Channel Index) * MFI (Money Flow Index) * AO (Awesome Oscillator) * CMF (Chaikin Money Flow) - Newly added * VWMACD (Volume-Weighted MACD) - Newly added 2. Customizable Divergence Parameters: * Bullish/Bearish: Enable or disable the detection of bullish and bearish divergences independently. * Regular/Hidden: Detect both regular and hidden divergences (hidden divergences can indicate trend continuation). * Broken Trendline Exclusion: Optionally ignore divergences where the trendline connecting price pivots is broken by an intermediate pivot. * Pivot Lookback Periods: Adjust the number of bars used to identify valid pivot highs and lows for divergence calculations. * Weighting: Assign different weights to regular vs. hidden divergences and to the relative change in price vs. the indicator. 3. Indicator-Specific Settings: * Weight: Each indicator can be assigned a weight, influencing its contribution to the overall divergence strength calculation. * Extreme Value: Define a threshold above which an indicator's divergence is considered "extreme," giving it a higher strength rating. 4. Divergence Strength Calculation: * For each indicator, the script calculates a divergence "degree" based on the magnitude of the divergence and the user-defined weightings. * The total divergence strength is the sum of the individual indicator divergence degrees. * Strength is categorized as "Extreme," "Very strong," "Strong," "Moderate," "Weak," or "Very weak." 5. Visualization: * Divergence Lines: The script draws lines on the chart connecting the price and indicator pivots that form a divergence (optional, with customizable transparency). * Labels: Labels display the total divergence strength and a breakdown of each indicator's contribution. The size and visibility of labels are based on the strength. 6. Alerts: * The script can generate alerts when the total divergence strength exceeds a user-defined threshold. New Indicators (CMF and VWMACD): * Chaikin Money Flow (CMF): * Purpose: Measures the buying and selling pressure by analyzing the relationship between price, volume, and the accumulation/distribution line. * Divergence: A bullish CMF divergence occurs when the price makes a lower low, but the CMF makes a higher low (suggesting increasing buying pressure). A bearish divergence is the opposite. * Volume-Weighted MACD (VWMACD): * Purpose: Similar to the standard MACD but uses volume-weighted moving averages instead of simple moving averages, giving more weight to periods with higher volume. * Divergence: Divergences are interpreted similarly to the standard MACD, but the VWMACD can be more sensitive to volume changes. How It Works (Simplified): 1. Pivot Detection: The script identifies pivot highs and lows in both price and the selected indicators using the specified lookback periods. 2. Divergence Check: For each indicator: * It checks if a series of pivots in price and the indicator are diverging (e.g., price makes a lower low, but the indicator makes a higher low for a bullish divergence). * It calculates the divergence degree based on the difference in price and indicator values, weightings, and whether it's a regular or hidden divergence. 3. Strength Aggregation: The script sums up the divergence degrees of all enabled indicators to get the total divergence strength. 4. Visualization and Alerts: It draws lines and labels on the chart to visualize the divergences and generates alerts if the total strength exceeds the set threshold. Benefits: * Comprehensive Divergence Analysis: By considering multiple indicators, the script provides a more robust assessment of potential trend reversals. * Customization: The many adjustable parameters allow traders to fine-tune the script to their specific trading style and preferences. * Objective Strength Evaluation: The divergence strength calculation and categorization offer a more objective way to evaluate the significance of divergences. * Early Warning System: Divergences can often precede significant price movements, making this script a valuable tool for anticipating potential trend changes. * Volume Confirmation: The inclusion of CMF and VWMACD add volume-based confirmation to the divergence signals, potentially increasing their reliability. Limitations: * Lagging Indicators: Most of the indicators used are lagging, meaning they are based on past price data. Divergences may sometimes occur after a significant price move has already begun. * False Signals: No indicator is perfect, and divergences can sometimes produce false signals, especially in choppy or ranging markets. * Subjectivity: While the script aims for objectivity, some settings (like weightings and extreme values) still involve a degree of subjective judgment.
Indicatore Pine Script®
di AzamSaja
2
taLibrary "ta" Collection of all custom and enhanced TA indicators ma(source, maType, length)   returns custom moving averages   Parameters:      source (float) : Moving Average Source      maType (simple string) : Moving Average Type : Can be sma, ema, hma, rma, wma, vwma, swma, highlow, linreg, median      length (simple int) : Moving Average Length   Returns: moving average for the given type and length atr(maType, length)   returns ATR with custom moving average   Parameters:      maType (simple string) : Moving Average Type : Can be sma, ema, hma, rma, wma, vwma, swma, highlow, linreg, median      length (simple int) : Moving Average Length   Returns: ATR for the given moving average type and length atrpercent(maType, length)   returns ATR as percentage of close price   Parameters:      maType (simple string) : Moving Average Type : Can be sma, ema, hma, rma, wma, vwma, swma, highlow, linreg, median      length (simple int) : Moving Average Length   Returns: ATR as percentage of close price for the given moving average type and length bb(source, maType, length, multiplier, sticky)   returns Bollinger band for custom moving average   Parameters:      source (float) : Moving Average Source      maType (simple string) : Moving Average Type : Can be sma, ema, hma, rma, wma, vwma, swma, highlow, linreg, median      length (simple int) : Moving Average Length      multiplier (float) : Standard Deviation multiplier      sticky (simple bool) : - sticky boundaries which will only change when value is outside boundary.   Returns: Bollinger band with custom moving average for given source, length and multiplier bbw(source, maType, length, multiplier, sticky)   returns Bollinger bandwidth for custom moving average   Parameters:      source (float) : Moving Average Source      maType (simple string) : Moving Average Type : Can be sma, ema, hma, rma, wma, vwma, swma, highlow, linreg, median      length (simple int) : Moving Average Length      multiplier (float) : Standard Deviation multiplier      sticky (simple bool) : - sticky boundaries which will only change when value is outside boundary.   Returns: Bollinger Bandwidth for custom moving average for given source, length and multiplier bpercentb(source, maType, length, multiplier, sticky)   returns Bollinger Percent B for custom moving average   Parameters:      source (float) : Moving Average Source      maType (simple string) : Moving Average Type : Can be sma, ema, hma, rma, wma, vwma, swma, highlow, linreg, median      length (simple int) : Moving Average Length      multiplier (float) : Standard Deviation multiplier      sticky (simple bool) : - sticky boundaries which will only change when value is outside boundary.   Returns: Bollinger Percent B for custom moving average for given source, length and multiplier kc(source, maType, length, multiplier, useTrueRange, sticky)   returns Keltner Channel for custom moving average   Parameters:      source (float) : Moving Average Source      maType (simple string) : Moving Average Type : Can be sma, ema, hma, rma, wma, vwma, swma, highlow, linreg, median      length (simple int) : Moving Average Length      multiplier (float) : Standard Deviation multiplier      useTrueRange (simple bool) : - if set to false, uses high-low.      sticky (simple bool) : - sticky boundaries which will only change when value is outside boundary.   Returns: Keltner Channel for custom moving average for given souce, length and multiplier kcw(source, maType, length, multiplier, useTrueRange, sticky)   returns Keltner Channel Width with custom moving average   Parameters:      source (float) : Moving Average Source      maType (simple string) : Moving Average Type : Can be sma, ema, hma, rma, wma, vwma, swma, highlow, linreg, median      length (simple int) : Moving Average Length      multiplier (float) : Standard Deviation multiplier      useTrueRange (simple bool) : - if set to false, uses high-low.      sticky (simple bool) : - sticky boundaries which will only change when value is outside boundary.   Returns: Keltner Channel Width for custom moving average kpercentk(source, maType, length, multiplier, useTrueRange, sticky)   returns Keltner Channel Percent K Width with custom moving average   Parameters:      source (float) : Moving Average Source      maType (simple string) : Moving Average Type : Can be sma, ema, hma, rma, wma, vwma, swma, highlow, linreg, median      length (simple int) : Moving Average Length      multiplier (float) : Standard Deviation multiplier      useTrueRange (simple bool) : - if set to false, uses high-low.      sticky (simple bool) : - sticky boundaries which will only change when value is outside boundary.   Returns: Keltner Percent K for given moving average, source, length and multiplier dc(length, useAlternateSource, alternateSource, sticky)   returns Custom Donchian Channel   Parameters:      length (simple int) : - donchian channel length      useAlternateSource (simple bool) : - Custom source is used only if useAlternateSource is set to true      alternateSource (float) : - Custom source      sticky (simple bool) : - sticky boundaries which will only change when value is outside boundary.   Returns: Donchian channel dcw(length, useAlternateSource, alternateSource, sticky)   returns Donchian Channel Width   Parameters:      length (simple int) : - donchian channel length      useAlternateSource (simple bool) : - Custom source is used only if useAlternateSource is set to true      alternateSource (float) : - Custom source      sticky (simple bool) : - sticky boundaries which will only change when value is outside boundary.   Returns: Donchian channel width dpercentd(length, useAlternateSource, alternateSource, sticky)   returns Donchian Channel Percent of price   Parameters:      length (simple int) : - donchian channel length      useAlternateSource (simple bool) : - Custom source is used only if useAlternateSource is set to true      alternateSource (float) : - Custom source      sticky (simple bool) : - sticky boundaries which will only change when value is outside boundary.   Returns: Donchian channel Percent D oscillatorRange(source, method, highlowLength, rangeLength, sticky)   oscillatorRange - returns Custom overbought/oversold areas for an oscillator input   Parameters:      source (float) : - Osillator source such as RSI, COG etc.      method (simple string) : - Valid values for method are : sma, ema, hma, rma, wma, vwma, swma, highlow, linreg, median      highlowLength (simple int) : - length on which highlow of the oscillator is calculated      rangeLength (simple int) : - length used for calculating oversold/overbought range - usually same as oscillator length      sticky (simple bool) : - overbought, oversold levels won't change unless crossed   Returns: Dynamic overbought and oversold range for oscillator input oscillator(type, length, shortLength, longLength, source, highSource, lowSource, method, highlowLength, sticky)   oscillator - returns Choice of oscillator with custom overbought/oversold range   Parameters:      type (simple string) : - oscillator type. Valid values : cci, cmo, cog, mfi, roc, rsi, stoch, tsi, wpr      length (simple int) : - Oscillator length - not used for TSI      shortLength (simple int) : - shortLength only used for TSI      longLength (simple int) : - longLength only used for TSI      source (float) : - custom source if required      highSource (float) : - custom high source for stochastic oscillator      lowSource (float) : - custom low source for stochastic oscillator      method (simple string) : - Valid values for method are : sma, ema, hma, rma, wma, vwma, swma, highlow, linreg, median      highlowLength (simple int) : - length on which highlow of the oscillator is calculated      sticky (simple bool) : - overbought, oversold levels won't change unless crossed   Returns: Oscillator value along with dynamic overbought and oversold range for oscillator input
Libreria Pine Script®
di Trendoscope
2
ADM Indicator [CHE] Comprehensive Description of the Three Market Phases for TradingView Introduction Financial markets often exhibit patterns that reflect the collective behavior of participants. Recognizing these patterns can provide traders with valuable insights into potential future price movements. The ADM Indicator is designed to help traders identify and capitalize on these patterns by detecting three primary market phases: 1. Accumulation Phase 2. Manipulation Phase 3. Distribution Phase This indicator places labels on the chart to signify these phases, aiding traders in making informed decisions. Below is an in-depth explanation of each phase, including how the ADM Indicator detects them. 1. Accumulation Phase Definition The Accumulation Phase is a period where informed investors or institutions discreetly purchase assets before a potential price increase. During this phase, the price typically moves within a confined range between established highs and lows. Characteristics - Price Range Bound: The asset's price stays within the previous high and low after a timeframe change. - Low Volatility: Minimal price movement indicates a balance between buyers and sellers. - Steady Volume: Trading volume may remain relatively constant or show slight increases. - Market Sentiment: General market interest is low, as the accumulation is not yet apparent to the broader market. Detection with ADM Indicator - Criteria: An accumulation is detected when the price remains within the previous high and low after a timeframe change. - Indicator Action: At the end of the period, if accumulation has occurred, the indicator places a label "Accumulation" on the chart. - Visual Cues: A yellow semi-transparent background highlights the accumulation phase, enhancing visual recognition. Implications for Traders - Entry Opportunity: Consider preparing for potential long positions before a possible upward move. - Risk Management: Use tight stop-loss orders below the support level due to the defined trading range. 2. Manipulation Phase Definition The Manipulation Phase, also known as the Shakeout Phase, occurs when dominant market players intentionally move the price to trigger stop-loss orders and create panic among less-informed traders. This action generates liquidity and better entry prices for large positions. Characteristics - False Breakouts: The price moves above the previous high or below the previous low but quickly reverses. - Increased Volatility: Sharp price movements occur without fundamental reasons. - Stop-Loss Hunting: The price targets common stop-loss areas, triggering them before reversing. - Emotional Trading: Retail traders may react impulsively, leading to poor trading decisions. Detection with ADM Indicator - Manipulation Up: - Criteria: Detected when the price rises above the previous high and then falls back below it. - Indicator Action: Places a label "Manipulation Up" on the chart at the point of detection. - Manipulation Down: - Criteria: Detected when the price falls below the previous low and then rises back above it. - Indicator Action: Places a label "Manipulation Down" on the chart at the point of detection. - Visual Cues: - Manipulation Up: Blue background highlights the phase. - Manipulation Down: Orange background highlights the phase. Implications for Traders - Caution Advised: Be wary of false signals and avoid overreacting to sudden price changes. - Preparation for Next Phase: Use this phase to anticipate potential distribution and adjust strategies accordingly. 3. Distribution Phase Definition The Distribution Phase occurs when the institutions or informed investors who accumulated positions start selling to the general market at higher prices. This phase often follows a Manipulation Phase and may signal an impending trend reversal. Characteristics - Price Reversal: The price moves in the opposite direction of the prior manipulation. - High Trading Volume: Increased selling activity as large players offload positions. - Trend Weakening: The previous trend loses momentum, indicating a potential shift. - Market Sentiment Shift: Optimism fades, and uncertainty or pessimism may emerge. Detection with ADM Indicator - Distribution Up: - Criteria: Detected after a verified Manipulation Up when the price subsequently falls below the previous low. - Indicator Action: Places a label "Distribution Up" on the chart. - Distribution Down: - Criteria: Detected after a verified Manipulation Down when the price subsequently rises above the previous high. - Indicator Action: Places a label "Distribution Down" on the chart. - Visual Cues: - Distribution Up: Purple background highlights the phase. - Distribution Down: Maroon background highlights the phase. Implications for Traders - Exit Signals: Consider closing long positions if in a Distribution Up phase. - Short Selling Opportunities: Potential to enter short positions anticipating a downtrend. Using the ADM Indicator on TradingView Indicator Overview The ADM Indicator automates the detection of Accumulation, Manipulation, and Distribution phases by analyzing price movements relative to previous highs and lows on a selected timeframe. It provides visual cues and labels on the chart, helping traders quickly identify the current market phase. Features - Multi-Timeframe Analysis: Choose from auto, multiplier, or manual timeframe settings. - Visual Labels: Clear labeling of market phases directly on the chart. - Background Highlighting: Distinct background colors for each phase. - Customizable Settings: Adjust colors, styles, and display options. - Period Separators: Optional separators delineate different timeframes. Interpreting the Indicator 1. Accumulation Phase - Detection: Price stays within the previous high and low after a timeframe change. - Label: "Accumulation" placed at the period's end if detected. - Background: Yellow semi-transparent color. - Action: Prepare for potential long positions. 2. Manipulation Phase - Detection: - Manipulation Up: Price rises above previous high and then falls back below. - Manipulation Down: Price falls below previous low and then rises back above. - Labels: "Manipulation Up" or "Manipulation Down" placed at detection. - Background: - Manipulation Up: Blue color. - Manipulation Down: Orange color. - Action: Exercise caution; avoid impulsive trades. 3. Distribution Phase - Detection: - Distribution Up: After a Manipulation Up, price falls below previous low. - Distribution Down: After a Manipulation Down, price rises above previous high. - Labels: "Distribution Up" or "Distribution Down" placed at detection. - Background: - Distribution Up: Purple color. - Distribution Down: Maroon color. - Action: Consider exiting positions or entering counter-trend trades. Configuring the Indicator - Timeframe Type: Select Auto, Multiplier, or Manual for analysis timeframe. - Multiplier: Set a custom multiplier when using "Multiplier" type. - Manual Resolution: Define a specific timeframe with "Manual" option. - Separator Settings: Customize period separators for visual clarity. - Label Display Options: Choose to display all labels or only the most recent. - Visualization Settings: Adjust colors and styles for personal preference. Practical Tips - Combine with Other Analysis Tools: Use alongside volume indicators, trend lines, or other technical tools. - Backtesting: Review historical data to understand how the indicator signals would have impacted past trades. - Stay Informed: Keep abreast of market news that might affect price movements beyond technical analysis. - Risk Management: Always employ stop-loss orders and position sizing strategies. Conclusion The ADM Indicator is a valuable tool for traders seeking to understand and leverage market phases. By detecting Accumulation, Manipulation, and Distribution phases through specific price action criteria, it provides actionable insights into market dynamics. Understanding the precise conditions under which each phase is detected empowers traders to make more informed decisions. Whether preparing for potential breakouts during accumulation, exercising caution during manipulation, or adjusting positions during distribution, the ADM Indicator aids in navigating the complexities of the financial markets. 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. This indicator is inspired by the Super 6x Indicators: RSI, MACD, Stochastic, Loxxer, CCI, and Velocity . A special thanks to Loxx for their relentless effort, creativity, and contributions to the TradingView community, which served as a foundation for this work. Best regards Chervolino Overview of the Timeframe Levels in the `autotimeframe()` Function The `autotimeframe()` function automatically adjusts the higher timeframe based on the current chart timeframe. Here are the specific timeframe levels used in the function: - Current Timeframe ≤ 1 Minute → Higher Timeframe: 240 Minutes (4 Hours) - Current Timeframe ≤ 5 Minutes → Higher Timeframe: 1 Day - Current Timeframe ≤ 1 Hour → Higher Timeframe: 3 Days - Current Timeframe ≤ 4 Hours → Higher Timeframe: 7 Days - Current Timeframe ≤ 12 Hours → Higher Timeframe: 1 Month - Current Timeframe ≤ 1 Day → Higher Timeframe: 3 Months - Current Timeframe ≤ 7 Days → Higher Timeframe: 6 Months - For All Higher Timeframes (over 7 Days) → Higher Timeframe: 12 Months Summary: The function assigns a corresponding higher timeframe based on the current timeframe to optimize the analysis: - 1 Minute or Less → 4 Hours - Up to 5 Minutes → 1 Day - Up to 1 Hour → 3 Days - Up to 4 Hours → 7 Days - Up to 12 Hours → 1 Month - Up to 1 Day → 3 Months - Up to 7 Days → 6 Months - Over 7 Days → 12 Months This automated adjustment ensures that the indicator works effectively across different chart timeframes without requiring manual changes.
Indicatore Pine Script®
di chervolino