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Insync Index [LazyBear]BB Support + Histo mode ------------------------------- Code: pastebin.com Show enclosing BB Show Insync as Histo: v02 - Configurable levels --------------------------------- Small update to allow configuring the 95/75/25/5 levels. Latest source code: pastebin.com v01 - orginal description --------------------------------- Insync Index, by Norm North, is a consensus indicator. It uses RSI, MACD, MFI, DPO, ROC, Stoch, CCI and %B to calculate a composite signal. Basically, this index shows that when a majority of underlying indicators is in sync, a turning point is near. There are couple of ways to use this indicator. - Buy when crossing up 5, sell when crossing down 95. - Market is typically bullish when index is above 50, bearish when below 50. This can be a great confirmation signal for price action + trend lines. Also, since this is typical oscillator, look for divergences between price and index. Levels 75/25 are early warning levels. Note that, index > 75 (and less than 95) should be considered very bullish and index below 25 (but above 5) as very bearish. Levels 95/5 are equivalent to traditional OB/OS levels. The various values of the underlying components can be tuned via options page. I have also provided an option to color bars based on the index value. More info: The Insync Index by Norm North, TASC Jan 1995 drive.google.com List of my free indicators: bit.ly List of my app-store indicators: blog.tradingview.com (Support doc: bit.ly)
Pine Script® indicator
by LazyBear
35
Volume Profile AnalysisThe Volume Profile Dashboard is a professional-grade analysis tool built for TradingView. It focuses on displaying a comprehensive volume profile breakdown within a dashboard format directly on the chart. The purpose of this tool is to help traders quickly assess buy versus sell volume dynamics, momentum, and sentiment in order to support informed trading decisions. Instead of plotting simple bars, this indicator uses a detailed table and visual progress bar to summarize live and historical market activity. By condensing key metrics into a structured format, traders can analyse market behaviour without manually calculating or switching between multiple indicators. ________________________________________ How the Script Works 1. Data Gathering The script uses lower-timeframe price and volume data to calculate buy volume, sell volume, and total traded volume for the current and previous candles. 2. Volume Allocation Buy and sell volumes are estimated by looking at the candle’s range (high to low) and how the closing price aligns within that range. The closer the close is to the high, the stronger the buying pressure. The closer the close is to the low, the stronger the selling pressure. 3. Delta and Momentum o Delta measures the difference between buy and sell volume. o Volume momentum compares the current candle’s activity to the previous one, showing if interest is rising or fading. 4. Point of Control (POC) An average of high, low, and close is calculated to give an approximate “point of control” level—an area of balance where buyers and sellers previously agreed on price. 5. Dashboard Visualization All these calculations are displayed inside a clean dashboard table with separate rows for the current candle, previous candle, and a summary row. Icons, colors, and progress bars make it visually intuitive. 6. On-Chart Progress Indicator A dynamic horizontal progress bar is plotted on the chart above price, showing the balance between buy and sell volume for the latest activity. 7. Alerts Built-in alerts trigger when strong buying or selling pressure is detected or when there is a significant spike in total traded volume. ________________________________________ How This Tool Can Be Used • Intraday Trading: Quickly gauge whether buyers or sellers are in control of the market at any moment. • Swing Trading: Compare momentum shifts between candles to identify early trend reversals. • Risk Management: Use delta and sentiment signals to confirm whether to hold or reduce exposure. • Confirmation: Align the volume profile dashboard with other indicators (such as RSI, MACD, or trendlines) for stronger trading conviction. ________________________________________ Using Mixed Indicators for Decisions This dashboard alone provides volume insights, but better decisions come when it is combined with other tools: • Pairing it with an RSI can show whether heavy buying is happening in overbought conditions. • Combining with a SuperTrend or moving averages can confirm if volume momentum aligns with the price trend. • Overlaying support/resistance levels can identify whether strong buy/sell signals occur at critical levels. Mixed indicators prevent relying on one signal alone, reducing false trades. ________________________________________ Importance of This Tool • Clarity: Condenses complex volume data into a simple, visual format. • Speed: Traders can react faster with pre-calculated buy/sell percentages. • Precision: Highlights hidden imbalances that are not obvious from candles alone. • Professional-grade dashboard: Offers an institutional-style view of market behavior directly within TradingView. ________________________________________ Parameters in the Dashboard Table • Period: Shows whether the row is for the current or previous candle, along with trend arrows. • Price Range: The high–low range of the candle. • Total Volume: The sum of buy and sell activity. • Buy Volume / Sell Volume: Separated distribution of transactions leaning bullish or bearish. • Delta: The net difference between buy and sell volumes, highlighting pressure imbalance. • Buy % / Sell %: The percentage contribution of each side to total volume. • POC: An average reference level where market consensus was strongest. • Progress: A graphical bar showing buy vs sell dominance. • Signal: Simplified output like Strong Buy, Buy, Strong Sell, Sell, Neutral. • Summary Row: Compares changes between the current and previous candles and gives overall market sentiment. ________________________________________ Stock Market Disclaimer This tool is for educational and informational purposes only. It does not constitute financial advice, investment advice, or trading recommendations. The stock market and cryptocurrency markets involve high risk. Traders and investors should do their own research and consult licensed financial advisors before making investment decisions. Past performance is not indicative of future results. ________________________________________ Misuse Disclaimer This script has been developed as per TradingView’s rules and is intended for responsible trading analysis only. Any misuse, redistribution, or modification outside of TradingView’s policies is discouraged. The author and platform are not responsible for financial losses, misinterpretation of signals, or misuse of the code. ________________________________________ Disclaimer Training & Educational Only — This material and the indicator are provided for educational purposes only. Nothing here is investment advice or a solicitation to buy or sell financial instruments. Past simulated or historical performance does not predict future results. Always perform full back testing and risk management, and consider seeking advice from a qualified financial professional before trading with real capital. ________________________________________
Pine Script® indicator
by aiTrendview-Charting-System
4
DECODE Moving Average ToolkitDECODE Moving Average Toolkit: Your All-in-One MA Analysis Powerhouse! This versatile indicator is designed to be your go-to solution for analysing trends, identifying potential entry/exit points, and staying ahead of market movements using the power of Moving Averages (MAs). Whether you're a seasoned trader or just starting out, the Decode MAT offers a comprehensive suite of features in a user-friendly package. Key Features: Multiple Moving Averages: Visualize up to 10 Moving Averages simultaneously on your chart. Includes 5 Exponential Moving Averages (EMAs) and 5 Simple Moving Averages (SMAs). Easily toggle the visibility of each MA and customize its length to suit your trading style and the asset you're analyzing. Dynamic MA Ribbons: Gain a clearer perspective on trend direction and strength with 5 configurable MA Ribbons. Each ribbon is formed between a corresponding EMA and SMA (e.g., EMA 20 / SMA 20). The ribbon color changes to indicate bullish (e.g., green) or bearish (e.g., red) sentiment, providing an intuitive visual cue. Toggle ribbon visibility with a single click. Powerful Crossover Alerts: Never miss a potential trading opportunity with up to 5 customizable MA Crossover Alerts. Define your own fast and slow MAs for each alert from any of the 10 available MAs. Receive notifications directly through TradingView when your specified MAs cross over or cross under. Optionally display visual symbols (e.g., triangles ▲▼) directly on your chart at the exact crossover points for quick identification. Highly Customizable: Adjust the source price (close, open, etc.) for all MA calculations. Fine-tune the appearance (colors, line thickness) of every MA line, ribbon, and alert symbol to match your charting preferences. User-Friendly Interface: All settings are neatly organized in the indicator's input menu, making configuration straightforward and intuitive. How Can You Use the Decode MAT in Your Trading? This toolkit is incredibly versatile and can be adapted to various trading strategies: Trend Identification: Use longer-term MAs (e.g., 50, 100, 200 period) to identify the prevailing market trend. When prices are consistently above these MAs, it suggests an uptrend, and vice-versa. Observe the MA ribbons: A consistently green ribbon can indicate a strong uptrend, while a red ribbon can signal a downtrend. The widening or narrowing of the ribbon can also suggest changes in trend momentum. Dynamic Support & Resistance: Shorter-term MAs (e.g., 10, 20 period EMAs) can act as dynamic levels of support in an uptrend or resistance in a downtrend. Look for price pullbacks to these MAs as potential entry opportunities. Crossover Signals (Entries & Exits): Golden Cross / Death Cross: Configure alerts for classic crossover signals. For example, a 50-period MA crossing above a 200-period MA (Golden Cross) is often seen as a long-term bullish signal. Conversely, a 50-period MA crossing below a 200-period MA (Death Cross) can be a bearish signal. Shorter-Term Signals: Use crossovers of shorter-term MAs (e.g., EMA 10 crossing EMA 20) for more frequent, shorter-term trading signals. A fast MA crossing above a slow MA can signal a buy, while a cross below can signal a sell. Use the on-chart symbols for quick visual confirmation of these crossover events. Confirmation Tool: Combine the Decode MAT with other indicators (like RSI, MACD, or volume analysis) to confirm signals and increase the probability of successful trades. For instance, a bullish MA crossover combined with an oversold RSI reading could strengthen a buy signal. Multi-Timeframe Analysis: Apply the toolkit across different timeframes to get a broader market perspective. A long-term uptrend on the daily chart, confirmed by a short-term bullish crossover on the 1-hour chart, can provide a higher-confidence entry. The DECODE Moving Average Toolkit empowers you to tailor your MA analysis precisely to your needs.
Pine Script® indicator
by decodejar
1
HTF EMA Pivot PointsHTF EMA Pivot Points - TradingView Indicator 📌 Overview The HTF EMA Pivot Points indicator displays Exponential Moving Averages (EMAs) from higher timeframes (HTF) on your current chart. These EMAs act as dynamic support and resistance levels, helping traders identify key areas where price is likely to react. ⚡ Key Features ✅ Plots EMAs from multiple timeframes (1H, 4H, Daily) ✅ Works on any chart (1M, 5M, 15M, etc.) ✅ Acts as pivot points for price action, helping with trade entries & exits ✅ Customizable EMA lengths for flexibility ✅ Ideal for scalping, 0DTE options trading, and swing trading 🛠 How It Works The script calculates EMAs from 1H, 4H, and Daily charts and overlays them on your current timeframe. These levels often act as support and resistance zones, where price tends to bounce or reject. 🎯 How to Use It for Trading 📍 Bullish Setup (Buy Calls) • Price bounces off a higher timeframe EMA (e.g., 4H or Daily EMA) • Confirmation with RSI or Fair Value Gaps (FVGs) 📍 Bearish Setup (Buy Puts) • Price rejects from a higher timeframe EMA • Confirmation with other indicators (RSI, MACD, Order Flow) 🚀 Why Use This Indicator? • Filters out noise from lower timeframe EMAs • Confirms trend direction using key moving averages • Helps avoid false breakouts by identifying strong institutional levels This is a must-have tool for traders who rely on higher timeframe confluence for scalping, options trading, or swing trading. 📈🔥
Pine Script® indicator
by Mfyock
1
Inverse VIX / Custom Inverse Line🎯 Main Idea This indicator creates a line that moves opposite to the VIX (Volatility Index) — or any symbol you choose. When VIX rises (fear increases), → this line goes down. When VIX falls (market calm), → this line goes up. It helps you visually understand market sentiment — calm periods (bullish) vs fear periods (bearish). ⚙️ Input Settings Setting Description Symbol to invert The symbol to invert. Default is CBOE:VIX. Inverse mode The method used to invert the values. There are 3 options: ① Negate Simply flips the sign (multiplies by -1). Very straightforward. ② Reciprocal Uses the mathematical inverse (1 ÷ value). High values become smaller, and vice versa. ③ Inverse Normalized The most useful mode 🔥 — normalizes values between 0–100 and flips them, similar to an RSI. Normalization lookback How many bars to use for normalization (default 252 = roughly one trading year). Smoothing (SMA) Number of bars for smoothing (makes the line smoother). Use log for reciprocal Uses logarithmic scaling to stabilize big swings. Plot color / width Customize the line’s color and thickness. Show original source If enabled, shows the original VIX line for comparison. 📈 How It Works The script fetches the close price of the VIX (or your chosen symbol). It applies the selected inversion method. The inverted line is plotted on the chart. In “Inverse Normalized” mode: The range is 0–100. Values above 75 = high optimism (market often overheated). Values below 25 = high fear (potential buying opportunity). A middle line at 50 marks neutral sentiment. ⚠️ Alerts The indicator includes two default alerts when using “Inverse Normalized” mode: 🔔 Above 75: Market showing strong optimism (potential top or correction zone). 🔔 Below 25: Market showing fear (potential bottom or buy signal). 🧠 How to Use It Use it on daily or weekly charts for clearer signals. Compare it with SPX or NASDAQ: When the Inverse VIX line rises, markets often go up. When it falls, markets usually drop or consolidate. Combine it with other indicators (e.g., RSI, MACD) for confirmation.
Pine Script® indicator
by adnan997it
Bull Market Support Band (20W SMA + 21W EMA)🟩 Bull Market Support Band (20W SMA + 21W EMA) OVERVIEW The Bull Market Support Band is a long-term trend indicator that combines the 20-week SMA and 21-week EMA. When price is above the band → bullish trend. When below → bearish trend. When within → neutral or transition phase. This v6 version adds full customization, dynamic coloring, event labels, candle coloring, and a configurable on-chart legend table with trend arrows. HOW IT WORKS Calculates the 20W SMA and 21W EMA from a user-selectable higher timeframe (weekly by default). Plots both averages and shades the area between them to form the support band. The fill and line colors change automatically based on the market phase:  🟩 Green = Bullish (price above)  🟥 Red = Bearish (price below)  ⬜ Gray = Neutral (price within). Labels appear only when the trend state changes. Alerts trigger when price crosses the band or either moving average. Optional candle coloring applies the same bull/bear/neutral logic to price bars. A convenience legend table displays current 20W SMA and 21W EMA values, along with slope arrows (^, v, =). INCLUDED FEATURES Configurable calculation timeframe. Automatic band fill and line coloring. Optional candle coloring overlay. Compact or detailed regime-change labels. ATR-based label offset and spacing control. Customizable legend table with background color. Horizontal or vertical legend layout. Custom arrow characters (ASCII or Unicode). Built-in alerts for band and MA crosses. Optimized for higher-timeframe accuracy using request.security(). USAGE TIPS Keep the default weekly setting for macro trend context. On lower chart timeframes, use the band as higher-level support/resistance. Combine with momentum or volume indicators (RSI, MACD, OBV) for confirmation. Adjust ATR multiplier to move labels further from price candles. Increase “Min bars between labels” to reduce visual clutter. Disable auto-coloring if you prefer a static color theme. Toggle compact legend or switch between horizontal/vertical layouts for best fit. INTERPRETATION GUIDE 🟩 Bullish: Price above the band → trend continuation likely. ⬜ Neutral: Price within the band → consolidation or potential reversal zone. 🟥 Bearish: Price below the band → downtrend continuation or distribution. Sustained closes above or below the band typically align with major market cycle shifts. NOTES Uses request.security() for higher-timeframe precision — accurate even on smaller charts. The legend table is screen-anchored and remains fixed as you pan or zoom. Plots and labels are price-anchored and move with candles. Lightweight and efficient for all markets and intervals. CREDITS Original concept: The Bull Market Support Band (popularized in crypto analysis). Enhanced Pine Script v6 version: Ricco . Modernized for clarity, flexibility, and multi-timeframe accuracy. SUMMARY A modern, customizable Bull Market Support Band indicator highlighting long-term market regimes with clean visuals, color logic, and convenience features. Designed for traders seeking macro clarity, minimal clutter, and professional presentation.
Pine Script® indicator
by ricco_n
EMA 9, 21 & 50 Indicator with Floating Labels🟢 EMA 9, 21 & 50 Indicator with Floating Labels 📘 Overview This indicator plots three exponential moving averages (EMAs) to visualize short-, medium-, and longer-term trend structure on any timeframe: EMA 9 – Bright Green (short-term momentum) EMA 21 – Bright Yellow (medium-term trend) EMA 50 – Red (broader trend confirmation) Each EMA has a floating label on the right edge of the chart, so line identities remain visible as new candles form. 🪶 Features Clear, fixed colors for easy recognition (Green 9 / Yellow 21 / Red 50) Floating labels that stay visible off the right edge Clean overlay compatible with any chart style Lightweight and fast to render 📈 How to Use Trend Filter: Price above 21 & 50 → bullish bias; look for long setups or pullbacks toward the 9/21. Price below 21 & 50 → bearish bias; look for short setups or rallies into 9/21. Momentum vs. Structure: 9 EMA = momentum guide for quick swings. 21 EMA = primary trend line for swing entries/exits. 50 EMA = confirmation of broader direction. 🔧 Tips Analyze trend on Daily or 4H; fine-tune entries on 1H/15m near the 9 or 21 EMA. Pair with volume or RSI/MACD for extra confirmation at EMA touches/crosses.
Pine Script® indicator
by zannic515
HM2 - Murrey Math Levels# Murrey Math Indicator - Comprehensive Description ## **What is Murrey Math?** Murrey Math is a trading system developed by T.H. Murrey that divides price action into 8 equal segments (octaves) based on Gann and geometry principles. It automatically identifies key support and resistance levels where price is likely to react, making it a powerful tool for determining entry/exit points and price targets. ## **How It Works** The indicator: 1. **Analyzes price history** over a lookback period (default 64-200 bars) 2. **Finds the highest high and lowest low** in that period 3. **Calculates a "fractal"** - a geometric scaling factor based on price magnitude 4. **Creates 8 equal divisions** between key levels, plus 4 overshoot levels (total 13 levels) 5. **Labels each level** from -2/8 to +2/8 with their trading significance ## **The 13 Murrey Math Levels** ### **Core Levels (0/8 to 8/8):** - ** - Ultimate Support** (Blue) - Extreme oversold condition - Strong buying opportunity - Price rarely breaks below this - ** - Weak, Stall & Reverse** (Orange) - Weak support level - Price often stalls and reverses here - ** - Pivot/Reverse Level** (Red) - Major support that can become resistance - Important reversal zone - ** - Bottom of Trading Range - BUY Zone** (Green) - Bottom boundary of normal trading - **Premium BUY zone** - 40% of trading happens between 3/8 and 5/8 - ** - Major Support/Resistance** (Blue) - **THE MOST IMPORTANT LEVEL** - The midpoint - best entry/exit level - Strong pivot point that price respects - ** - Top of Trading Range - SELL Zone** (Green) - Top boundary of normal trading - **Premium SELL zone** - ** - Pivot/Reverse Level** (Red) - Major resistance that can become support - Important reversal zone - ** - Weak, Stall & Reverse** (Orange) - Weak resistance level - Price often stalls and reverses here - ** - Ultimate Resistance** (Blue) - Extreme overbought condition - Strong selling opportunity - Price rarely breaks above this ### **Overshoot Levels:** - ** & ** (Gray) - Extreme downside overshoot zones - ** & ** (Gray) - Extreme upside overshoot zones - These indicate extreme moves beyond normal trading ranges ## **Trading Zones (from your diagram)** 1. **Consolidation Trading Area** (0/8 to 3/8) - Price is in a bearish zone - Look for BUY opportunities near support levels 2. **Normal Trading Area** (3/8 to 5/8) - **40% of trading occurs here** - Price oscillates between these boundaries - Range-bound trading strategies work best 3. **Premium Trading Area** (5/8 to 8/8) - Price is in a bullish zone - Look for SELL opportunities near resistance levels ## **Trading Strategies** ### **Buy Signals:** - Price bounces off 0/8 (ultimate support) - Price pulls back to 3/8 in an uptrend - Price breaks above 4/8 after consolidation ### **Sell Signals:** - Price rejects at 8/8 (ultimate resistance) - Price rallies to 5/8 in a downtrend - Price breaks below 4/8 after consolidation ### **Range Trading:** - Buy near 3/8, sell near 5/8 when price is ranging - Use 4/8 as the pivot to determine trend direction ## **Key Advantages** ✅ **Objective levels** - No subjective placement ✅ **Self-adjusting** - Automatically recalculates based on recent price action ✅ **Clear trading zones** - Easy to identify support/resistance ✅ **Works on all timeframes** - From 1-minute to monthly charts ✅ **Combines with other indicators** - Works well with RSI, MACD, etc. ## **Important Notes** - The indicator is **dynamic** - levels update as new highs/lows form - **4/8 is the most critical level** - price above = bullish, below = bearish - When price reaches overshoot levels (±1/8, ±2/8), expect strong reversals - Works best in trending markets; can give false signals in choppy conditions This geometric approach to support/resistance has been used by traders for decades and remains popular due to its objective, mathematical nature!
Pine Script® indicator
by tiddug_singh
Volume Based Sampling [BackQuant]Volume Based Sampling What this does This indicator converts the usual time-based stream of candles into an event-based stream of “synthetic” bars that are created only when enough trading activity has occurred . You choose the activity definition: Volume bars : create a new synthetic bar whenever the cumulative number of shares/contracts traded reaches a threshold. Dollar bars : create a new synthetic bar whenever the cumulative traded dollar value (price × volume) reaches a threshold. The script then keeps an internal ledger of these synthetic opens, highs, lows, closes, and volumes, and can display them as candles, plot a moving average calculated over the synthetic closes, mark each time a new sample is formed, and optionally overlay the native time-bars for comparison. Why event-based sampling matters Markets do not release information on a clock: activity clusters during news, opens/closes, and liquidity shocks. Event-based bars normalize for that heteroskedastic arrival of information: during active periods you get more bars (finer resolution); during quiet periods you get fewer bars (coarser resolution). Research shows this can reduce microstructure pathologies and produce series that are closer to i.i.d. and more suitable for statistical modeling and ML. In particular: Volume and dollar bars are a common event-time alternative to time bars in quantitative research and are discussed extensively in Advances in Financial Machine Learning (AFML). These bars aim to homogenize information flow by sampling on traded size or value rather than elapsed seconds. The Volume Clock perspective models market activity in “volume time,” showing that many intraday phenomena (volatility, liquidity shocks) are better explained when time is measured by traded volume instead of seconds. Related market microstructure work on flow toxicity and liquidity highlights that the risk dealers face is tied to information intensity of order flow, again arguing for activity-based clocks. How the indicator works (plain English) Choose your bucket type Volume : accumulate volume until it meets a threshold. Dollar Bars : accumulate close × volume until it meets a dollar threshold. Pick the threshold rule Dynamic threshold : by default, the script computes a rolling statistic (mean or median) of recent activity to set the next bucket size. This adapts bar size to changing conditions (e.g., busier sessions produce more frequent synthetic bars). Fixed threshold : optionally override with a constant target (e.g., exactly 100,000 contracts per synthetic bar, or $5,000,000 per dollar bar). Build the synthetic bar While a bucket fills, the script tracks: o_s: first price of the bucket (synthetic open) h_s: running maximum price (synthetic high) l_s: running minimum price (synthetic low) c_s: last price seen (synthetic close) v_s: cumulative native volume inside the bucket d_samples: number of native bars consumed to complete the bucket (a proxy for “how fast” the threshold filled) Emit a new sample Once the bucket meets/exceeds the threshold, a new synthetic bar is finalized and stored. If overflow occurs (e.g., a single native bar pushes you past the threshold by a lot), the code will emit multiple synthetic samples to account for the extra activity. Maintain a rolling history efficiently A ring buffer can overwrite the oldest samples when you hit your Max Stored Samples cap, keeping memory usage stable. Compute synthetic-space statistics The script computes an SMA over the last N synthetic closes and basic descriptors like average bars per synthetic sample, mean and standard deviation of synthetic returns, and more. These are all in event time , not clock time. Inputs and options you will actually use Data Settings Sampling Method : Volume or Dollar Bars. Rolling Lookback : window used to estimate the dynamic threshold from recent activity. Filter : Mean or Median for the dynamic threshold. Median is more robust to spikes. Use Fixed? / Fixed Threshold : override dynamic sizing with a constant target. Max Stored Samples : cap on synthetic history to keep performance snappy. Use Ring Buffer : turn on to recycle storage when at capacity. Indicator Settings SMA over last N samples : moving average in synthetic space . Because its index is sample count, not minutes, it adapts naturally: more updates in busy regimes, fewer in quiet regimes. Visuals Show Synthetic Bars : plot the synthetic OHLC candles. Candle Color Mode : Green/Red: directional close vs open Volume Intensity: opacity scales with synthetic size Neutral: single color Adaptive: graded by how large the bucket was relative to threshold Mark new samples : drop a small marker whenever a new synthetic bar prints. Comparison & Research Show Time Bars : overlay the native time-based candles to visually compare how the two sampling schemes differ. How to read it, step by step Turn on “Synthetic Bars” and optionally overlay “Time Bars.” You will see that during high-activity bursts, synthetic bars print much faster than time bars. Watch the synthetic SMA . Crosses in synthetic space can be more meaningful because each update represents a roughly comparable amount of traded information. Use the “Avg Bars per Sample” in the info table as a regime signal. Falling average bars per sample means activity is clustering, often coincident with higher realized volatility. Try Dollar Bars when price varies a lot but share count does not; they normalize by dollar risk taken in each sample. Volume Bars are ideal when share count is a better proxy for information flow in your instrument. Quant finance background and citations Event time vs. clock time : Easley, López de Prado, and O’Hara advocate measuring intraday phenomena on a volume clock to better align sampling with information arrival. This framing helps explain volatility bursts and liquidity droughts and motivates volume-based bars. Flow toxicity and dealer risk : The same authors show how adverse selection risk changes with the intensity and informativeness of order flow, further supporting activity-based clocks for modeling and risk management. AFML framework : In Advances in Financial Machine Learning , event-driven bars such as volume, dollar, and imbalance bars are presented as superior sampling units for many ML tasks, yielding more stationary features and fewer microstructure distortions than fixed time bars. ( Alpaca ) Practical use cases 1) Regime-aware moving averages The synthetic SMA in event time is not fooled by quiet periods: if nothing of consequence trades, it barely updates. This can make trend filters less sensitive to calendar drift and more sensitive to true participation. 2) Breakout logic on “equal-information” samples The script exposes simple alerts such as breakout above/below the synthetic SMA . Because each bar approximates a constant amount of activity, breakouts are conditioned on comparable informational mass, not arbitrary time buckets. 3) Volatility-adaptive backtests If you use synthetic bars as your base data stream, most signal rules become self-paced : entry and exit opportunities accelerate in fast markets and slow down in quiet regimes, which often improves the realism of slippage and fill modeling in research pipelines (pair this indicator with strategy code downstream). 4) Regime diagnostics Avg Bars per Sample trending down: activity is dense; expect larger realized ranges. Return StdDev (synthetic) rising: noise or trend acceleration in event time; re-tune risk. Interpreting the info panel Method : your sampling choice and current threshold. Total Samples : how many synthetic bars have been formed. Current Vol/Dollar : how much of the next bucket is already filled. Bars in Bucket : native bars consumed so far in the current bucket. Avg Bars/Sample : lower means higher trading intensity. Avg Return / Return StdDev : return stats computed over synthetic closes . Research directions you can build from here Imbalance and run bars Extend beyond pure volume or dollar thresholds to imbalance bars that trigger on directional order flow imbalance (e.g., buy volume minus sell volume), as discussed in the AFML ecosystem. These often further homogenize distributional properties used in ML. alpaca.markets Volume-time indicators Re-compute classical indicators (RSI, MACD, Bollinger) on the synthetic stream. The premise is that signals are updated by traded information , not seconds, which may stabilize indicator behavior in heteroskedastic regimes. Liquidity and toxicity overlays Combine synthetic bars with proxies of flow toxicity to anticipate spread widening or volatility clustering. For instance, tag synthetic bars that surpass multiples of the threshold and test whether subsequent realized volatility is elevated. Dollar-risk parity sampling for portfolios Use dollar bars to align samples across assets by notional risk, enabling cleaner cross-asset features and comparability in multi-asset models (e.g., correlation studies, regime clustering). AFML discusses the benefits of event-driven sampling for cross-sectional ML feature engineering. Microstructure feature set Compute duration in native bars per synthetic sample , range per sample , and volume multiple of threshold as inputs to state classifiers or regime HMMs . These features are inherently activity-aware and often predictive of short-horizon volatility and trend persistence per the event-time literature. ( Alpaca ) Tips for clean usage Start with dynamic thresholds using Median over a sensible lookback to avoid outlier distortion, then move to Fixed thresholds when you know your instrument’s typical activity scale. Compare time bars vs synthetic bars side by side to develop intuition for how your market “breathes” in activity time. Keep Max Stored Samples reasonable for performance; the ring buffer avoids memory creep while preserving a rolling window of research-grade data.
Pine Script® indicator
by BackQuant
Price–MA Separation (Z-Score)Price–MA Separation (Z-Score + Shading) This indicator measures how far price is from a chosen moving average and shows it in a separate pane. It helps traders quickly spot overextended moves and mean-reversion opportunities. ⸻ What it does • Calculates the separation between price and a moving average (MA): • In Points (Price − MA) • In Percent ((Price / MA − 1) × 100%) • Converts that separation into a Z-Score (statistical measure of deviation): • Z = (Separation − Mean) ÷ StdDev • Highlights when price is unusually far from the MA relative to its recent history. ⸻ Visuals • Histogram bars: • Green = above the MA, • Orange = below the MA. • Intensity increases with larger Z-Scores. • Zero line: red baseline (price = MA). • Z threshold lines: • +T1 = light red (mild overbought) • +T2 = dark red (strong overbought) • −T1 = light green (mild oversold) • −T2 = dark green (strong oversold) • Default thresholds: ±1 and ±2. ⸻ Settings • MA Type & Length: Choose between SMA, EMA, WMA, VWMA, or SMMA (RMA). • Units: Show separation in Points or Percent. • Plot Mode: • Raw = distance in points/percent. • Z-Score = standardized deviation (default). • Absolute Mode: Show only magnitude (ignore direction). • Smoothing: Overlay a smoothed line on the histogram. • Z-Bands: Visual guides at ± thresholds. ⸻ How to use • Look for large positive Z-Scores (red zones): price may be stretched far above its MA. • Look for large negative Z-Scores (green zones): price may be stretched far below its MA. • Use as a mean-reversion signal or to confirm trend exhaustion. • Works well with: • Swing entries/exits • Overbought/oversold conditions • Filtering other signals (RSI, MACD, VWAP) ⸻ Notes • Z-Scores depend on the lookback window (default = 100 bars). Adjust for shorter/longer memory. • Strong deviations don’t always mean reversal—combine with other tools for confirmation. • Not financial advice. Always manage risk. ⸻ Try adjusting the MA length and Z-Score thresholds to fit your trading style.
Pine Script® indicator
by Leree123
Enhanced Chande Momentum OscillatorEnhanced Chande Momentum Oscillator (Enh CMO) 📊 Description The Enhanced Chande Momentum Oscillator is an advanced version of the classic Chande Momentum Oscillator with dynamic envelope boundaries that automatically adapt to market volatility. This indicator provides clear visual signals for potential price reversals and momentum shifts. Key Features: Original Chande Momentum Oscillator calculation Dynamic upper and lower boundaries based on statistical analysis Adaptive envelope that adjusts to market volatility Visual fill area between boundaries for easy interpretation Real-time values table with current readings Built-in alert conditions for boundary touches Customizable moving average types (SMA, EMA, WMA) ⚙️ Settings CMO Settings: CMO Length (9): Period for calculating the base Chande Momentum Oscillator Source (close): Price source for calculations Envelope Settings: Envelope Length (20): Lookback period for calculating the moving average and standard deviation Envelope Multiplier (1.5): Multiplier for standard deviation to create upper/lower bounds Moving Average Type (EMA): Type of moving average for envelope calculation 📈 How to Use Visual Elements Lines: White Line: Main Chande Momentum Oscillator Red Line: Upper boundary (resistance level) Green Line: Lower boundary (support level) Yellow Line: Moving average of CMO (trend direction) Purple Fill: Visual envelope between boundaries Reference Lines: Zero Line: Neutral momentum level +50/-50 Lines: Traditional overbought/oversold levels Trading Signals 🔴 Sell/Short Signals CMO touches or crosses above upper boundary → Potential bearish reversal CMO is above +50 and declining → Weakening bullish momentum CMO crosses below yellow MA line while above zero → Momentum shift 🟢 Buy/Long Signals CMO touches or crosses below lower boundary → Potential bullish reversal CMO is below -50 and rising → Weakening bearish momentum CMO crosses above yellow MA line while below zero → Momentum shift ⚡ Advanced Signals Boundary contraction → Decreasing volatility, potential breakout coming Boundary expansion → High volatility period, use wider stops CMO hugging upper boundary → Strong uptrend continuation CMO hugging lower boundary → Strong downtrend continuation 🎯 Trading Strategies Strategy 1: Reversal Trading Wait for CMO to touch extreme boundaries (red or green lines) Look for divergence with price action Enter counter-trend position when CMO starts moving back toward center Set stop beyond the boundary breach point Take profit near zero line or opposite boundary Strategy 2: Momentum Confirmation Use CMO direction to confirm trend Enter positions when CMO crosses above/below yellow MA line Hold positions while CMO remains on the correct side of MA Exit when CMO crosses back through MA line Strategy 3: Volatility Breakout Monitor boundary width (envelope expansion/contraction) When boundaries contract significantly, prepare for breakout Enter in direction of CMO breakout from narrow range Use boundary expansion as confirmation signal ⚠️ Important Notes Best Timeframes Scalping: 1m, 5m charts Day Trading: 15m, 30m, 1H charts Swing Trading: 4H, Daily charts Market Conditions Trending Markets: Focus on momentum confirmation signals Ranging Markets: Focus on boundary reversal signals High Volatility: Increase envelope multiplier (1.8-2.5) Low Volatility: Decrease envelope multiplier (1.0-1.3) Risk Management Always use stop losses beyond boundary levels Reduce position size during boundary expansion periods Combine with price action and support/resistance levels Monitor the real-time table for precise entry/exit levels 🔔 Alerts The indicator includes built-in alert conditions: "CMO Above Upper Bound": Potential reversal down signal "CMO Below Lower Bound": Potential reversal up signal Set these alerts to catch opportunities without constantly monitoring charts. 💡 Tips for Success Combine with other indicators: Use with RSI, MACD, or volume indicators for confirmation Watch for divergences: CMO making new highs/lows while price doesn't follow Use multiple timeframes: Check higher timeframe CMO for overall trend context Adjust settings for different assets: Crypto may need different settings than forex Paper trade first: Test the indicator with your trading style before using real money 🎨 Customization Tips Change colors in the Pine Script to match your chart theme Adjust envelope length for faster (shorter) or slower (longer) signals Modify envelope multiplier based on asset volatility Hide the table if it obstructs your view by commenting out the table section Complete trading solution: Pair with the Optimus Indicator (paid indicator) for multi-timeframe trend analysis and trend signals. Together they create a powerful confluence system for professional trading setups.
Pine Script® indicator
by Jazzman34
Weekend Hunter Ultimate v6.2 Weekend Hunter Ultimate v6.2 - Automated Crypto Weekend Trading System OVERVIEW: Specialized trading strategy designed for cryptocurrency weekend markets (Saturday-Sunday) when institutional traders are typically offline and market dynamics differ significantly from weekdays. Optimized for 15-minute timeframe execution with multi-timeframe confluence analysis. KEY FEATURES: - Weekend-Only Trading: Automatically activates during configurable weekend hours - Dynamic Leverage: 5-20x leverage adjusted based on market safety and signal confidence - Multi-Timeframe Analysis: Combines 4H trend, 1H momentum, and 15M execution - 10 Pre-configured Crypto Pairs: BTC, ETH, LINK, XRP, DOGE, SOL, AVAX, PEPE, TON, POL - Position & Risk Management: Max 4 concurrent positions, -30% account protection - Smart Trailing Stops: Protects profits when approaching targets RISK MANAGEMENT: - Maximum daily loss: 5% (configurable) - Maximum weekend loss: 15% (configurable) - Per-position risk: Capped at 120-156 USDT - Emergency stops for flash crashes (8% moves) - Consecutive loss protection (4 losses = pause) TECHNICAL INDICATORS: - CVD (Cumulative Volume Delta) divergence detection - ATR-based dynamic stop loss and take profit - RSI, MACD, Bollinger Bands confluence - Volume surge confirmation (1.5x average) - Weekend liquidity adjustments INTEGRATION: - Designed for Bybit Futures (0.075% taker fee) - WunderTrading webhook compatibility via JSON alerts - Minimum position size: 120 USDT (Bybit requirement) - Initial capital: $500 recommended TARGET METRICS: - Win rate target: 65% - Average win: 5.5% - Average loss: 1.8% - Risk-reward ratio: ~3:1 IMPORTANT DISCLAIMERS: - Past performance does not guarantee future results - Leveraged trading carries substantial risk of loss - Weekend crypto markets have 13% of normal liquidity - Not suitable for traders who cannot afford to lose their entire investment - Requires continuous monitoring and adjustment USAGE: 1. Apply to 15-minute charts only 2. Configure weekend hours for your timezone 3. Set up webhook alerts for automation 4. Monitor performance table in top-right corner 5. Adjust parameters based on your risk tolerance This is an experimental strategy for educational purposes. Always test with small amounts first and never invest more than you can afford to lose completely.
Pine Script® strategy
by YOUNGPSI
FU + SMI Validator (Proper FU, 30m)Overview The FU + SMI Validator is a sophisticated technical analysis indicator designed to detect Proper FU (Fakeouts or Liquidity Sweeps) on the 30-minute timeframe. This tool aims to help traders identify high-probability reversal setups that occur when price briefly breaks key levels (sweeping liquidity), then reverses with momentum confirmation. Fakeouts are common market events where price action “hunts stops” before reversing direction. Correctly identifying these events can offer excellent entry points with defined risk. This indicator combines price action logic with momentum and volatility filters to provide reliable signals. Core Concepts Proper FU (Fakeout) Detection At its core, the script identifies proper fakeouts by checking if the current bar’s price: For bullish fakeouts: dips below the previous bar’s low (sweeping stops) and then closes above the previous bar’s high For bearish fakeouts: spikes above the previous bar’s high and then closes below the previous bar’s low This ensures that the breakout is a true sweep rather than just a one-sided close. Optionally, the script can require one additional confirmation bar after the FU, ensuring that the momentum is sustained and reducing false signals. SMI-style Momentum Validation To improve the quality of signals, the indicator uses a proxy for the Stochastic Momentum Index (SMI) by calculating the difference between current and past linear regression slopes of price. This momentum check helps ensure that fakeouts occur alongside actual directional strength. Key points: Momentum must be increasing in the direction of the FU signal. Momentum filters can be enabled or disabled based on user preference. Squeeze Condition to Avoid Low-Volatility Traps The script includes a volatility filter based on a squeeze-like condition: It compares Bollinger Bands (BB) and Keltner Channels (KC). When BB bands contract inside KC bands, the market is in a squeeze state, signaling low volatility. Fakeouts during squeeze conditions are often unreliable; the script can filter these out to reduce false alarms. Killzone Session Timing Filter Recognizing that liquidity and volatility vary by session, this tool supports optional filtering for: London Killzone: 09:00 to 10:30 (UK time) New York Killzone: 13:00 to 14:30 (UK time) Signals only trigger during these high-activity windows if enabled, helping traders focus on periods with the best liquidity and market participation. Note: For Killzone filtering to work accurately, your TradingView chart must be set to the UK timezone. Features & Benefits Robust FU detection ensures the breakout price action is meaningful, reducing noise. Momentum filter via linear regression slope captures trend strength in a smooth, mathematically sound way. Low-volatility squeeze avoidance helps reduce false signals in choppy or range-bound markets. Killzone timing filter focuses your attention on the most liquid and active market hours. Optional confirmation bar increases signal reliability. Raw FU markers allow visualization of all detected fakeouts for pattern recognition and manual analysis. Alerts built-in for both valid buy and sell FU setups, enabling real-time notification and quicker decision-making. Customization Options Killzone usage: Enable or disable the session timing filter. Sessions: Configure London and New York killzone time ranges. Momentum alignment: Enable or disable momentum filter based on SMI proxy. Volatility filter: Avoid signals during squeeze or low-volatility conditions. FU confirmation: Option to require one additional confirming candle after the initial FU. Squeeze and momentum parameters: Adjust Bollinger Bands length and multiplier, Keltner Channel length and ATR multiplier. Raw FU markers: Show or hide all detected fakeouts regardless of filters. How to Use This Indicator Apply to 30-minute charts for forex pairs, indices, cryptocurrencies, or other instruments. Set your chart timezone to UK time if using Killzone filters. Adjust input parameters based on your preferred sessions and risk tolerance. Look for green “VALID BUY FU” labels below bars for bullish fakeout entries. Look for red “VALID SELL FU” labels above bars for bearish fakeout entries. Use the alert system to receive notifications on setups. Combine with your existing analysis or risk management strategy for entries, stops, and profit targets. Why Use FU + SMI Validator? Fakeouts are some of the most lucrative but tricky setups for many traders. Without proper filters, they can lead to false entries and losses. This script integrates price action, momentum, volatility, and session timing into one package, providing a robust tool to spot high-quality fakeout opportunities and improve trading confidence. Limitations Requires chart to be set to UK timezone for session filters. Designed specifically for 30-minute timeframe — performance on other timeframes may vary. Momentum is a proxy, not a direct SMI calculation. Like all indicators, best used in conjunction with sound risk management and other analysis tools. Potential Enhancements Conversion into a full strategy script for backtesting entries and exits. Addition of other momentum indicators (RSI, MACD) or volume filters. Customizable time zones or auto time zone detection. Multi-timeframe analysis capabilities. Visual dashboard for summary of signal stats.
Pine Script® indicator
by frazerlittle
2
Bollinger Bands Difference Score Bollinger Bands Difference Score (TradingView – Pine Script v6) The **Bollinger Bands Difference Score** is a volatility-based scoring system designed to help traders quickly assess whether a stock is in a **strong trend, neutral zone, or weak setup**. It transforms the raw **Bollinger Band Width (BB-Diff)** into a **normalized score (0–100)** and classifies conditions with intuitive thresholds. --- ### 🔹 What is Bollinger Bands Difference (BB-Diff)? * **Bollinger Bands** are built from a moving average with upper and lower bands set by standard deviations. * The **difference (or width)** between the bands reflects market volatility. * A **high difference** = wide bands = strong volatility (breakout/trend). * A **low difference** = narrow bands = low volatility (consolidation). This indicator standardizes BB-Diff into a score and smooths it for cleaner signals. --- ### 🔹 Key Features 1. **BB-Diff Scoring System** * Converts Bollinger Band width into a **0–100 normalized score**. * Higher score → higher volatility/trend strength. * Lower score → consolidation or weaker momentum. 2. **Signal Levels** * **Strong Zone (≥ 70):** Indicates strong trend strength or expansion in volatility. * **Neutral Zone (40–70):** Sideways or undecided price action. * **Weak Zone (≤ 20):** Suggests very low volatility, potential upcoming squeeze. 3. **Score Smoothing** * Applies a moving average to reduce noise. * Helps avoid false signals during choppy markets. 4. **Visual Enhancements** * Plots the score as a line (0–100 scale). * Adds horizontal reference lines for **Strong**, **Neutral**, and **Weak** levels. * Background colors automatically highlight **bullish strength (green)** or **weakness (red)**. --- ### 🔹 How to Use * **Trend Confirmation:** Look for scores **above 70** → suggests trend continuation or volatility breakout. * **Consolidation Watch:** Scores in the **20 or below** zone may precede volatility squeezes → breakout setups. * **Neutral Zone:** Scores between **40–70** suggest sideways price action; avoid aggressive trades. * **Combine with Price Action:** Use with support/resistance, candlestick patterns, or momentum indicators for confirmation. --- ### 🔹 Best Practices * Great as a **volatility filter** before entries. * Use in combination with **RSI, MACD, or OBV** for directional bias. * Works well for **breakout trading** (when score rises from low levels). * Monitor on multiple timeframes for alignment. --- ✅ **In summary:** The **Bollinger Bands Difference Score** is a simple yet powerful tool that quantifies volatility strength into an actionable score, making it easier to spot strong trends, consolidation phases, and potential breakout opportunities.
Pine Script® indicator
by raghavprakash05
HeatCandleHeatCandle - AOC Indicator ✨ Features 📊 Heat-Map Candles: Colors candles based on the price’s deviation from a Triangular Moving Average (TMA), creating a heat-map effect to visualize price zones. 📏 Zone-Based Coloring: Assigns colors to 20 distinct zones (Z0 to Z19) based on the percentage distance from the TMA, with customizable thresholds. ⚙️ Timeframe-Specific Zones: Tailored zone thresholds for 1-minute, 5-minute, 15-minute, 30-minute, 1-hour, and 4-hour timeframes for precise analysis. 🎨 Customizable Visuals: Gradient color scheme from deep blue (oversold) to red (overbought) for intuitive price movement interpretation. 🛠️ Adjustable Parameters: Configure TMA length and threshold multiplier to fine-tune sensitivity. 🛠️ How to Use Add to Chart: Apply the "HeatCandle - AOC" indicator on TradingView. Configure Inputs: TMA Length: Set the period for the Triangular Moving Average (default: 150). Threshold Multiplier: Adjust the multiplier to scale zone sensitivity (default: 1.0). Analyze: Observe colored candles on the chart, where colors indicate the price’s deviation from the TMA: Dark blue (Z0) indicates strong oversold conditions. Red (Z19) signals strong overbought conditions. Track Trends: Use the color zones to identify potential reversals, breakouts, or trend strength based on price distance from the TMA. 🎯 Why Use It? Visual Clarity: The heat-map candle coloring simplifies identifying overbought/oversold conditions at a glance. Timeframe Flexibility: Zone thresholds adapt to the selected timeframe, ensuring relevance across short and long-term trading. Customizable Sensitivity: Adjust TMA length and multiplier to match your trading style or market conditions. Versatile Analysis: Ideal for scalping, swing trading, or trend analysis when combined with other indicators. 📝 Notes Ensure sufficient historical data for accurate TMA calculations, especially with longer lengths. The indicator is most effective on volatile markets where price deviations are significant. Pair with momentum indicators (e.g., RSI, MACD) or support/resistance levels for enhanced trading strategies. Happy trading! 🚀📈
Pine Script® indicator
by AlchimistOfCrypto
Moving Average Signals : Support ResistanceThis indicator plots a Simple Moving Average (default 50-period, adjustable) and highlights potential bounce or rejection signals when price interacts with the SMA. It is designed to identify moments when price tests the moving average from one side and then continues in the prior direction, signaling a possible continuation trade. 🔴 Red Triangle (Bearish Rejection) A red triangle is plotted above the bar when: Price has been trading below the SMA. Price tests the SMA from below (the high touches or pierces the SMA but closes back below it). Price then continues lower on the next bar. This suggests the SMA acted as resistance and the downtrend may resume. 🟢 Green Triangle (Bullish Rejection) A green triangle is plotted below the bar when: Price has been trading above the SMA. Price tests the SMA from above (the low touches or pierces the SMA but closes back above it). Price then continues higher on the next bar. This suggests the SMA acted as support and the uptrend may resume. ⚡ HOW TO USE IN TRADING Trend Confirmation Use this indicator in trending markets (not choppy ranges). A rising SMA suggests bullish trend bias; a falling SMA suggests bearish trend bias. Signal Entry Green Triangle: Consider long entries when the SMA supports price and a bullish continuation is signaled. Red Triangle: Consider short entries when the SMA rejects price and a bearish continuation is signaled. Stop-Loss Placement Place stops just beyond the SMA or the rejection candle’s high/low. Example: For a red signal, stop above the SMA or rejection candle’s high. Take-Profit Ideas Target prior swing highs/lows or use risk/reward multiples (e.g., 2R, 3R). You can also trail stops behind the SMA in a strong trend. Filters for Higher Accuracy (optional) Confirm signals with volume, momentum indicators (e.g., RSI, MACD), or higher-timeframe trend. Avoid trading signals against strong higher-timeframe bias.
Pine Script® indicator
by ozzy_livin
Gann Fan Strategy [KedarArc Quant]Description A single-concept, rule-based strategy that trades around a programmatic Gann Fan. It anchors to a swing (or a manual point), builds 1×1 and related fan lines numerically, and triggers entries when price interacts with the 1×1 (breakout or bounce). Management is done entirely with the fan structure (next/previous line) plus optional ATR trailing. What TV indicators are used * Pivots: `ta.pivothigh/ta.pivotlow` to confirm swing highs/lows for anchor selection. * ATR: `ta.atr` only to scale the 1×1 slope (optional) and for an optional trailing stop. * EMA: `ta.ema` as a trend filter (e.g., only long above the EMA, short below). No RSI/MACD/Stoch/Heikin/etc. The logic is one coherent framework: Gann price–time geometry, with ATR as a scale and EMA as a risk filter. How it works 1. Anchor * Auto: chooses the most recent *confirmed* pivot (you control Left/Right). * Manual: set a price and bar index and the fan will hold that point (no re-anchoring). * Optional Re-anchor when a newer pivot confirms. 2. 1×1 Slope (numeric, not cosmetic) * ATR mode: `1×1 = ATR(Length) × Multiplier` (adapts to volatility). * Fixed mode: `ticks per bar` (constant slope). Because slope is numeric, it doesn’t change with chart zoom, unlike the drawing tool. 3. Fan Lines Builds classic ratios around the 1×1: 1/8, 1/4, 1/3, 1/2, 1/1, 2/1, 3/1, 4/1, 8/1. 4. Signals * Breakout: cross of price over/under the 1×1 in the EMA-aligned direction. * Bounce (optional): touch + reversal across the 1×1 to reduce whipsaw. 5. Exits & Risk * Take-profit at the next fan line; Stop at the previous fan line. * If a level is missing (right after re-anchor), a fallback Risk-Reward (RR) is used. * Optional ATR trailing stop. Why this is unique * True numeric fan: The 1×1 slope is calculated from ATR or fixed ticks—not from screen geometry—so it is scale-invariant and reproducible across users/timeframes. * Deterministic anchor logic: Uses confirmed pivots (with your L/R settings). No look-ahead; anchors update only when the right bars complete. * Fan-native trade management: Both entries and exits come from the fan structure itself (with a minimal ATR/EMA assist), keeping the method pure. * Two entry archetypes: Breakout for momentum days; Bounce for range days—switchable without changing the core model. * Manual mode: Lock a session’s bias by anchoring to a chosen swing (e.g., day’s first major low/high) and keep the fan constant all day. Inputs (quick guide) * Auto Anchor (Left/Right): pivot sensitivity. Higher values = fewer, stronger anchors. * Re-anchor: refresh to newer pivots as they confirm. * Manual Anchor Price / Bar Index: fixes the fan (turn Auto off). * Scale 1×1 by ATR: on = adaptive; off = use ticks per bar. * ATR Length / ATR Multiplier: controls adaptive slope; start around 14 / 0.25–0.35. * Ticks per bar: exact fixed slope (match a hand-drawn fan by computing slope ÷ mintick). * EMA Trend Filter: e.g., 50–100; trades only in EMA direction. * Use Bounce: require touch + reverse across 1×1 (helps in chop). * TP/SL at fan lines; Fallback RR for missing levels; ATR Trailing Stop optional. * Transparency/Plot EMA: visual preferences. Tips * Range days: larger pivots (L/R 8–12), Bounce ON, ATR Multiplier \~0.30–0.40, EMA 100. * Trend days: L/R 5–6, Breakout, Multiplier \~0.20–0.30, EMA 50, ATR trail 1.0–1.5. * Match the TV Gann Fan drawing: turn ATR scale OFF, set ticks per bar = `(Δprice between anchor and 1×1 target) / (bars) / mintick`. Repainting & testing notes * Pivots require Right bars to confirm; anchors are set after confirmation (no look-ahead). * Signals use the current bar close with TradingView strategy mechanics; real-time vs. bar-close can differ slightly, as with any strategy. * Re-anchoring legitimately moves the structure when new pivots confirm—by design. ⚠️ Disclaimer This script is provided for educational purposes only. Past performance does not guarantee future results. Trading involves risk, and users should exercise caution and use proper risk management when applying this strategy.
Pine Script® strategy
by kedarcquant
Advanced Range Analyzer ProAdvanced Range Analyzer Pro – Adaptive Range Detection & Breakout Forecasting Overview Advanced Range Analyzer Pro is a comprehensive trading tool designed to help traders identify consolidations, evaluate their strength, and forecast potential breakout direction. By combining volatility-adjusted thresholds, volume distribution analysis, and historical breakout behavior, the indicator builds an adaptive framework for navigating sideways price action. Instead of treating ranges as noise, this system transforms them into opportunities for mean reversion or breakout trading. How It Works The indicator continuously scans price action to identify active range environments. Ranges are defined by volatility compression, repeated boundary interactions, and clustering of volume near equilibrium. Once detected, the indicator assigns a strength score (0–100), which quantifies how well-defined and compressed the consolidation is. Breakout probabilities are then calculated by factoring in: Relative time spent near the upper vs. lower range boundaries Historical breakout tendencies for similar structures Volume distribution inside the range Momentum alignment using auxiliary filters (RSI/MACD) This creates a live probability forecast that updates as price evolves. The tool also supports range memory, allowing traders to analyze the last completed range after a breakout has occurred. A dynamic strength meter is displayed directly above each consolidation range, providing real-time insight into range compression and breakout potential. Signals and Breakouts Advanced Range Analyzer Pro includes a structured set of visual tools to highlight actionable conditions: Range Zones – Gradient-filled boxes highlight active consolidations. Strength Meter – A live score displayed in the dashboard quantifies compression. Breakout Labels – Probability percentages show bias toward bullish or bearish continuation. Breakout Highlights – When a breakout occurs, the range is marked with directional confirmation. Dashboard Table – Displays current status, strength, live/last range mode, and probabilities. These elements update in real time, ensuring that traders always see the current state of consolidation and breakout risk. Interpretation Range Strength : High scores (70–100) indicate strong consolidations likely to resolve explosively, while low scores suggest weak or choppy ranges prone to false signals. Breakout Probability : Directional bias greater than 60% suggests meaningful breakout pressure. Equal probabilities indicate balanced compression, favoring mean-reversion strategies. Market Context : Ranges aligned with higher timeframe trends often resolve in the dominant direction, while counter-trend ranges may lead to reversals or liquidity sweeps. Volatility Insight : Tight ranges with low ATR imply imminent expansion; wide ranges signal extended consolidation or distribution phases. Strategy Integration Advanced Range Analyzer Pro can be applied across multiple trading styles: Breakout Trading : Enter on probability shifts above 60% with confirmation of volume or momentum. Mean Reversion : Trade inside ranges with high strength scores by fading boundaries and targeting equilibrium. Trend Continuation : Focus on ranges that form mid-trend, anticipating continuation after consolidation. Liquidity Sweeps : Use failed breakouts at boundaries to capture reversals. Multi-Timeframe : Apply on higher timeframes to frame market context, then execute on lower timeframes. Advanced Techniques Combine with volume profiles to identify areas of institutional positioning within ranges. Track sequences of strong consolidations for trend development or exhaustion signals. Use breakout probability shifts in conjunction with order flow or momentum indicators to refine entries. Monitor expanding/contracting range widths to anticipate volatility cycles. Custom parameters allow fine-tuning sensitivity for different assets (crypto, forex, equities) and trading styles (scalping, intraday, swing). Inputs and Customization Range Detection Sensitivity : Controls how strictly ranges are defined. Strength Score Settings : Adjust weighting of compression, volume, and breakout memory. Probability Forecasting : Enable/disable directional bias and thresholds. Gradient & Fill Options : Customize range visualization colors and opacity. Dashboard Display : Toggle live vs last range, info table size, and position. Breakout Highlighting : Choose border/zone emphasis on breakout events. Why Use Advanced Range Analyzer Pro This indicator provides a data-driven approach to trading consolidation phases, one of the most common yet underutilized market states. By quantifying range strength, mapping probability forecasts, and visually presenting risk zones, it transforms uncertainty into clarity. Whether you’re trading breakouts, fading ranges, or mapping higher timeframe context, Advanced Range Analyzer Pro delivers a structured, adaptive framework that integrates seamlessly into multiple strategies.
Pine Script® indicator
by BOSWaves
4