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Delta Weighted Average Price (DWAP) @MaxMaserati 2.0MMM DWAP (Delta Weighted Average Price) - Trading Indicator Guide Overview The MMM DWAP (Delta Weighted Average Price) indicator analyzes volume-price relationships by incorporating buying and selling pressure (delta) to identify key support and resistance levels. This tool provides multi-timeframe analysis with momentum assessment and breakout detection capabilities. Core Methodology MMM DWAP calculates weighted average prices based on delta (buying vs selling pressure) rather than volume alone. This approach reveals where directional money flow creates sustainable support and resistance levels, providing traders with enhanced market analysis. Key Innovation: Fair Value Magnetism The market facilitates fair exchange between buyers and sellers. The indicator identifies dynamic fair value zones through delta-weighted cloud bands. Price tends to return to these levels, creating high-probability reaction points for trading decisions. Technical Comparison vs VWAP - VWAP: Volume-weighted calculation showing where volume occurred - MMM DWAP: Delta-weighted analysis revealing directional money flow with multi-timeframe integration vs Moving Averages - Moving Averages: Price-only calculation with inherent lag - MMM DWAP: Real-time delta analysis providing delta-defended levels with market context vs Bollinger Bands - Bollinger Bands: Statistical volatility measures for squeeze detection - MMM DWAP: Breakout prediction with confidence levels based on market pressure analysis Visual Components MMM DWAP Line (Orange): Primary fair value level based on delta weighting Dynamic Cloud Bands: Overbought/oversold zones with fair value magnetism Support/Resistance Lines: Multi-timeframe key levels with delta directional indicators Squeeze Detection: Volatility compression alerts with breakout direction prediction Analysis Table: Real-time consensus direction, momentum strength, and breakout predictions Fair Value Zone Concept Orange Line: Absolute Fair Value Price - the natural equilibrium level where price gravitates. Most important support/resistance level. Price closed below the line Price closed above the line Upper Cloud = Bullish Fair Value Area (BuFV): - When price is above Orange Line, Upper Cloud acts as support - Price pullbacks to this zone create buying opportunities - Represents fair value in bullish market conditions Far Above Upper Cloud = "TOO HIGH" Zone: - Price is overextended above fair value - Overbought condition - likely to reverse DOWN to Upper Cloud (BuFV) - Sell signal area or profit-taking zone for longs Lower Cloud = Bearish Fair Value Area (BeFV): - When price is below Orange Line, Lower Cloud acts as resistance - Price rallies to this zone create selling opportunities - Represents fair value in bearish market conditions Far Below Lower Cloud = "TOO LOW" Zone: - Price is overextended below fair value - Oversold condition - likely to reverse UP to Lower Cloud (BeFV) - Buy signal area or profit-taking zone for shorts Rubber Band Effect: - Upper Cloud (BuFV): If price stretches TOO FAR UP → snaps back DOWN to fair value area - Lower Cloud (BeFV): If price stretches TOO FAR DOWN → snaps back UP to fair value area Support & Resistance Intelligence Resistance Line Behavior: Red Arrow Down (R ↓): - Bearish delta at resistance level - Sellers are defending this resistance - Strong selling pressure - price likely to reject downward - Traditional resistance behavior - SELL zone Green Arrow Up (R ↑): - Bullish delta at resistance level - Buyers are challenging this resistance - Strong buying pressure pushing through - Potential breakout signal - BUY zone Support Line Behavior: Green Arrow Up (S ↑): - Bullish delta at support level - Buyers are defending this support - Strong buying interest - price likely to bounce up - Traditional support behavior - BUY zone Red Arrow Down (S ↓): - Bearish delta at support level - Sellers are overwhelming support - Strong selling pressure breaking through - Potential breakdown signal - SELL zone When the arrow is → for the Support and Resistance line, it is a neutral state 4-Phase Breakout Cycle Phase 1 - Normal Trading: Regular price movement with bands at normal width Phase 2 - Band Tightening (SQUEEZE): Yellow diamonds appear as bands compress. Breakout direction prediction activates - early warning before the move. Phase 3 - Balloon Formation: Bands expand outward, forming balloon shape around price. Preparation phase - volatility releasing but price still contained. Phase 4 - Explosive Breakout: Price breaks decisively through expanded bands with volume surge and directional momentum. Execution phase. Strategy Sequence: - Tightening Phase = PREDICT (Get direction forecast) - Balloon Phase = PREPARE (Confirm setup and position size) - Breakout Phase = EXECUTE (Enter trade in predicted direction) Trading Applications Retest Strategy: 1. Identify trend bias through MMM DWAP line position 2. Monitor for breakouts above/below Orange Line 3. Wait for pullback to appropriate Fair Value zone (BuFV or BeFV) 4. Execute trades on reaction at fair value levels High-Probability Setups: - Bullish Breakout: Bullish consensus + Strong momentum + Resistance with strong buying delta - Bearish Rejection: Bearish consensus + Strong momentum + Resistance with strong selling delta - Support Bounce: Bullish consensus + Support with strong buying delta Analysis Table Guide Consensus Row: Overall market sentiment based on volume-weighted buying/selling pressure - BULLISH: Look for long opportunities - BEARISH: Look for short opportunities Momentum Row: Current strength compared to recent average - STRONG: High conviction moves - ride momentum - WEAK: Low conviction moves - wait for better setups Price Level Rows (R1, R2, S1, S2): Delta pressure at each level - High positive delta = Buyers dominated (potential breakout level) - High negative delta = Sellers dominated (potential rejection level) Risk Management - Stop Levels: Orange Line breaks or opposite band extremes - Profit Targets: Opposite fair value zones - Position Sizing: Based on momentum strength indicators Technical Notes - Delta Calculation: Bullish volume minus bearish volume for directional pressure - Timeframe Independence: MMM DWAP and S/R levels can utilize different timeframes - Squeeze Algorithm: Adaptive band width analysis for volatility compression - Consensus Logic: Aggregate delta analysis across multiple price levels - Fair Value Zones: Dynamic BuFV/BeFV adaptation based on Orange Line position Note: This indicator combines volume-price analysis with order flow concepts. Effectiveness depends on market liquidity and proper application of fair value principles. Most effective setups occur when consensus direction, momentum strength, squeeze detection, and favorable delta history align.
Indicador Pine Script®
por MaxMaserati
2
Daily Status + ATR + MAAfter years of studying, analyzing markets, and thousands of hours of trial and error – I'm proud to present my new indicator for smarter and more precise trading! 🔍 What's inside? ✔️ Real-time daily status (percentage and monetary change) ✔️ ATR indicator to measure volatility ✔️ 150-period Moving Average for trend analysis ✔️ Smart signal system based on ATR + MA: ▪️ Strong / Weak Buy ▪️ Strong / Weak Sell ▪️ “No-Touch” zone detection ✔️ Clean and clear visual display directly on the chart, including company name, ticker, market cap, and timeframe (1D, 1W, etc.) ✔️ Built-in alerts to notify you when a strong buy signal is triggered – so you never miss an opportunity 🧠 Designed to provide quick and intelligent decisions at a glance, filtering out noise and focusing only on what matters. 💡 Suitable for both beginners and advanced traders – whether you're tracking stocks, crypto, or indices. 📈 Result: A chart that speaks your language – simple, focused, and powerful.
Indicador Pine Script®
por gabriel_adi
Combined Predictive Indicator### Combined Predictive Zones & Levels This indicator is a powerful hybrid tool designed to provide a comprehensive map of potential future price action. It merges two distinct predictive models into a single, cohesive view, helping traders identify key levels of support, resistance, and areas of high confluence. #### How It Works: Two Models in One This script is built on two core components that you can use together or analyze separately: **Part 1: Classic Range & Fibonacci Prediction** This model uses classic technical analysis principles to project a potential range for the upcoming price action. * **Highest High / Lowest Low:** It identifies the significant trading range over a user-defined lookback period. * **Fibonacci Levels:** It automatically plots key Fibonacci retracement levels (e.g., 38.2% and 61.8%) within this range, which often act as critical support or resistance. * **ATR & Average Range:** It calculates a "predicted" upper and lower boundary based on the average historical range and current volatility (ATR). **Part 2: Advanced Predictive Ranges (Self-Adjusting Channels)** This is a dynamic model that creates adaptive support and resistance zones based on a smoothed average price and volatility. * **Dynamic Average:** It uses a unique moving average that only adjusts when the price moves significantly, creating a stable baseline. * **ATR-Based Zones:** It projects multiple levels of support (S1, S2) and resistance (R1, R2) around this average, which widen and narrow based on market volatility. These zones often signal areas where price might stall or reverse. #### Key Features: * **Hybrid Model for Confluence:** The true power of this indicator lies in finding where the levels from both models overlap. A Fibonacci level aligning with a Predictive Range support zone is a much stronger signal. * **Comprehensive Data Table:** A clean, on-chart table displays the precise values of all key predictive levels, allowing for quick reference and precise trade planning. * **Multi-Timeframe (MTF) Capability:** The Advanced Predictive Ranges can be calculated on a higher timeframe, giving you a broader market context. * **Fully Customizable:** All lengths, multipliers, and levels for both models are fully adjustable in the settings to fit any asset or trading style. * **Clear Visuals:** All zones and levels are color-coded for intuitive and easy-to-read analysis. #### How to Use: 1. Look for areas of **confluence** where multiple levels from both models cluster together. These are high-probability zones for price reactions. 2. Use the Predictive Range zones (S1/S2 and R1/R2) as potential targets for trades or as areas to watch for entries and exits. 3. Pay attention to the on-chart table for exact price levels to set limit orders or stop-losses. **Disclaimer:** This script is an analytical tool for educational purposes and should not be considered financial advice. All trading involves risk. Past performance is not indicative of future results. Always use this indicator as part of a comprehensive trading strategy with proper risk management. Feedback is welcome! If you find this tool useful, please leave a like.
Indicador Pine Script®
por TiamatCrypto
1
[LeonidasCrypto]EMA with Volatility GlowEMA Volatility Glow - Advanced Moving Average with Dynamic Volatility Visualization Overview The EMA Volatility Glow indicator combines dual exponential moving averages with a sophisticated volatility measurement system, enhanced by dynamic visual effects that respond to real-time market conditions. Technical Components Volatility Calculation Engine BB Volatility Curve: Utilizes Bollinger Band width normalized through RSI smoothing Multi-stage Noise Filtering: 3-layer exponential smoothing algorithm reduces market noise Rate of Change Analysis: Dual-timeframe RoC calculation (14/11 periods) processed through weighted moving average Dynamic Normalization: 100-period lookback for relative volatility assessment Moving Average System Primary EMA: Default 55-period exponential moving average with volatility-responsive coloring Secondary EMA: Default 100-period exponential moving average for trend confirmation Trend Analysis: Real-time bullish/bearish determination based on EMA crossover dynamics Visual Enhancement Framework Gradient Band System: Multi-layer volatility bands using Fibonacci ratios (0.236, 0.382, 0.618) Dynamic Color Mapping: Five-tier color system reflecting volatility intensity levels Configurable Glow Effects: Customizable transparency and intensity settings Trend Fill Visualization: Directional bias indication between moving averages Key Features Volatility States: Ultra-Low: Minimal market movement periods Low: Reduced volatility environments Medium: Normal market conditions High: Increased volatility phases Extreme: Exceptional market stress periods Customization Options: Adjustable EMA periods Configurable glow intensity (1-10 levels) Variable transparency controls Toggleable visual components Customizable gradient band width Technical Calculations: ATR-based gradient bands with noise filtering ChartPrime-inspired multi-layer fill system Real-time volatility curve computation Smooth color gradient transitions Applications Trend Identification: Dual EMA system for directional bias assessment Volatility Analysis: Real-time market stress evaluation Risk Management: Visual volatility cues for position sizing decisions Market Timing: Enhanced visual feedback for entry/exit consideration
Indicador Pine Script®
por LeonidasCrypto
Anti Nyangkut – Indikator Karya Anak Bangsa Anti Nyangkut – Indikator Karya Anak Bangsa Indikator ini khusus buat kamu yang sering beli di pucuk dan jual di support, lalu akhirnya jadi bahan backtest orang lain. 💡 Sinyal buy only - muncul kalau harga udah: ✅ Di atas MA5 ✅ Di atas Bollinger Bands Upper ✅ Di atas VWAP (khusus 1H & 4H) 🟢 TP dan SL otomatis muncul — biar gak cuma "niat hold sampe hijau" 📊 Cocok buat scalping & swing di 1H / 4H / 1D Gak ada sinyal jual. Exit di tangan masing-nasing, jangan lupa pasang SL. — 100% gratis. Bayarnya pakai amal jariyah. — Anti Nyangkut – An Indicator by the People, for the People This one's for you if you always buy the top, sell the bottom, and end up becoming someone else's backtest data. 💡 Buy-Only Signals — triggered when price is: ✅ Above MA5 ✅ Above Bollinger Bands Upper ✅ Above VWAP (on 1H & 4H only) 🟢 Auto TP & SL lines — so you stop saying "I'll hold until it turns green" 📊 Perfect for scalping & swing trades on 1H / 4H / 1D There’s no sell signal. Exits are your responsibility — just don’t skip the stop loss. — 100% free. Just pay with good karma.
Indicador Pine Script®
por farsavt
1
Free Master Trend Navigator/ 趋势大师导航仪（免费版） by Mrlazycat趋势大师导航仪简单上手版使用说明 （这是一个简单版的趋势大师导航仪；如果需要趋势大师导航仪Pro版，可联系作者懒猫先生进行授权使用【推特联系：Jeffmo0769】） (This is a simplified version of the Trend Master Navigator. For the Pro version, please contact Mr. Lazy Cat for authorization ) ⚠ 非常重要，使用指标前请认真阅读这个使用说明 这是一个简单版的趋势大师导航仪 指标核心功能 本指标通过分析比特币的成交量、动能指标（MACD）、相对强弱指数（RSI）、趋势强度和成交量比率，生成在-1到1之间波动的趋势大师导航仪，帮助判断买卖时机。指标最佳适用场为4小时（4H）图表，适合1-2周的中短期交易。该趋势大师导航仪适用于BTC,ETH, DOGE等现货成交量大的虚拟货币 趋势曲线解读指南 ① 市场状态（曲线颜色） 暗紫色：区间震荡市场 红色曲线：多头趋势 绿色曲线：空头趋势 ② 关键信号区域 红色区域（超买）：趋势曲线 ≥ 0.6 时，可能出现回调风险 绿色区域（超卖）：趋势曲线 ≤ -0.615 时，可能出现反弹机会 ③ 锁定机制 对部分强多头趋势（红色）和强空头趋势（绿色）进行锁定： 如果趋势曲线突破红色区域（超买）且市场趋势强度保持在强趋势或较强的弱趋势，趋势曲线会锁定在0.7附近（原始曲线以灰色继续）。 如果趋势曲线跌破绿色区域（超卖）且市场趋势强度保持在强趋势或较强的弱趋势，趋势曲线会锁定在-0.7附近（原始曲线以灰色继续）。 这表示趋势可能继续发展，建议等待锁定期结束后再进行操作。 ✅ 极端多头趋势的特殊案例：（如ETH在2025年7月10日到20日，趋势曲线一直维持红色，意味着多头趋势不变。但这段时间ETH的趋势曲线曾跌到超卖区，因此曲线曾在底部锁定3个K线的时间，这意味着是多头右侧追多的机会。） 交易信号 超买超卖信号+趋势判断 红色区域（超买）：趋势曲线 ≥ 0.6 时，可能出现回调风险，注意趋势变化 绿色区域（超卖）：趋势曲线 ≤ -0.615 时，可能出现反弹机会，注意趋势变化 使用注意事项 ① 交易所推荐：同时使用币安(Binance)和OKX的BTC/USDT现货数据（不同交易所的量能差异可能影响信号准确性）。 ② 特殊行情优化：已针对2024-2025年比特币ETF上市后的低波动行情调整参数，未来将持续根据市场变化优化。 ③ 强趋势操作提示：当趋势曲线锁定在超买或超卖区，应减少逆势操作。 ④ 首次使用建议：观察历史行情以验证信号特征，震荡市捕捉反转点，趋势市识别延续信号。 Trend Master Navigator (Simplified Version) User Guide ⚠ Important: Please read this guide carefully before using the indicator This is a simplified version of the Trend Master Navigator. Core Functionality This indicator analyzes Bitcoin's trading volume, MACD, RSI, trend strength, and volume ratio to generate the Trend Master Navigator, which oscillates between -1 and 1 to assist in buy/sell decisions. The indicator is best suited for 4-hour (4H) charts and is ideal for 1-2 week swing trading. The Trend Master Navigator is suitable for cryptocurrencies with high spot trading volumes, such as BTC, ETH, and DOGE. Interpreting the Trend Curve ① Market States (Curve Colors) Dark Purple: Range-bound market Red Curve: Bullish trend Green Curve: Bearish trend ② Key Signal Zones Red Zone (Overbought): Trend curve ≥ 0.6 → Potential pullback risk Green Zone (Oversold): Trend curve ≤ -0.615 → Potential rebound opportunity ③ Locking Mechanism During strong bullish (red) and strong bearish （green） trends, and partial weak trends: If the trend curve breaks above the red zone (overbought) and the market trend strength remains in a strong trend or robust weak trend, the trend curve will lock near 0.7 (original curve continues in gray). If the trend curve breaks below the green zone (oversold) and the market trend strength remains in a strong trend or robust weak trend, the trend curve will lock near -0.7 (original curve continues in gray). This indicates that the trend may continue, and it is advisable to wait until the lock period ends before taking action. ✅ Example of extreme bullish trend: (e.g., ETH from July 10 to 20, 2025, where the trend curve remained red, indicating a persistent bullish trend. During this period, ETH's trend curve dipped into the oversold zone, locking the curve at the bottom for 3 K-line periods, signifying a right-side buying opportunity in the bullish trend.) Trading Signals Overbought/Oversold Signals + Trend Judgment Red Zone (Overbought): Trend curve ≥ 0.6 → Potential pullback risk, pay attention to trend changes Green Zone (Oversold): Trend curve ≤ -0.615 → Potential rebound opportunity, pay attention to trend changes Usage Notes ① Exchange Recommendation: Use Binance and OKX BTC/USDT spot data simultaneously (volume discrepancies across different exchanges may affect signal accuracy). ② Special Market Optimization: Parameters have been adjusted for the low-volatility era following the Bitcoin ETF launch (2024-2025) and will continue to be optimized based on market changes. ③ Strong Trend Operation Tips: When the trend curve is locked in overbought or oversold zones, reduce counter-trend operations. ④ First Use Recommendation: Observe historical market trends to validate signal characteristics. Capture reversal points in range-bound markets and identify continuation signals in trending markets. Contact on X: Jeffmo0769
Indicador Pine Script®
por Mrlazycat
ADR Tracker Version 2Description The **ADR Tracker** plots a customizable panel on your chart that monitors the Average Daily Range (ADR) and shows how today’s price action compares to that average. It calculates the daily high–low range for each of the past 14 days (can be adjusted) and then takes a simple moving average of those ranges to determine the ADR. **Features:** * **Current ADR value:** Shows the 14‑day ADR in price units. * **ADR status:** Indicates whether today’s range has reached or exceeded the ADR. * **Ticks remaining:** Calculates how many minimum price ticks remain before the ADR would be met. * **Real‑time tracking:** Monitors the intraday high and low to update the range continuously. * **Customizable panel:** Uses TradingView’s table object to display the information. You can set the table’s horizontal and vertical position (top/middle/bottom and left/centre/right) with inputs. The script also lets you change the text and background colours, as well as the width and height of each row. Table cells use explicit width and height percentages, which Pine supports in v6. Each call to `table.cell()` defines the text, colours and dimensions for its cell, so the panel resizes automatically based on your settings. **Usage:** Apply the indicator to any chart. For the most accurate real‑time tracking, use it on intraday timeframes (e.g. 5‑min or 1‑hour) so the current day’s range updates as new bars arrive. Adjust the inputs in the settings panel to reposition the list or change its appearance. --- This description explains what the indicator does and highlights its customizable table display, referencing the Pine Script table features used.
Indicador Pine Script®
por davon.jennings1023
Market DashboardMarket Dashboard — All-in-One Technical Indicator Panel The Market Dashboard is a powerful visual tool that consolidates key technical indicators into a single on-chart table, helping traders make faster and more informed decisions. This script includes: RSI — Detects overbought and oversold market conditions MACD — Shows trend momentum and crossover signals CVD (Cumulative Volume Delta) — Highlights buyer vs. seller pressure Volume Analysis — Flags unusually high volume ATR (Average True Range) — Displays current market volatility Session Detector — Automatically identifies ASIAN, LONDON, or NEW YORK sessions based on UTC time Fully Customizable — Adjust table position and text size to fit your chart layout Designed for traders who want a clean, real-time snapshot of market dynamics, directly on the chart.
Indicador Pine Script®
por CaptainsPlan
2
[FRK] Volatility-Adjusted Mean Reversion 🎯 What It Does : - Spots when price has moved "too far" from average - Adjusts for how jumpy/calm the market is right now - Gives you better signals than simple oscillators ⚙️ Every Setting Explained: - MA Length (9): How many bars for the "center line" - Volatility Length (20): How many bars to measure "jumpiness" - Threshold (0.04): When to actually signal you - Price Input (Close): Which price to use - MA Type (SMA): How to calculate the average - Vol Multiplier (10.0): Just visual scaling 📊 Visual Guide: - Blue line above red dotted = Price too high, expect drop - Blue line below green dotted = Price too low, expect bounce - Background colors = Active signals - Table = Current stats and history 🧮 Simple Formula: Signal = (Price - Average) ÷ Average ÷ (Volatility × 10) When Signal > 0.04 or < -0.04 → Trade signal! // ⚠️ IMPORTANT TRADING WARNING: // DO NOT TRADE ON THIS SIGNAL ALONE! This is a confluence tool that helps you: // • Understand current volatility vs historical levels // • Get a "feel" for how extended current price moves are // • Confirm other trading setups with volatility context // • See when market is unusually calm or wild
Indicador Pine Script®
por murdrae
Liquidity Grab Detector (Stop Hunt Sniper) v2.2📌 Purpose This indicator detects Stop Hunts (Liquidity Grabs) — false breakouts above/below recent highs or lows — filtered by trend direction, volatility, and volume conditions. It is designed for scalpers and intraday traders who want to identify high-probability reversal zones. 🧠 How It Works 1. Key Logic Detects previous swing high / swing low over the Lookback Bars. Marks a false breakout when price moves beyond the level and closes back inside. Requires a volume spike on the breakout to confirm liquidity sweep. 2. Trend Filter (EMA 50) Bullish signals only if price is above EMA 50. Bearish signals only if price is below EMA 50. This removes most counter-trend stop hunts. 3. ADX Filter Signals appear only when ADX < Max ADX (low-trend conditions). This avoids false signals in strong trending markets. 📈 How to Use Green Arrows: Bullish stop hunt (potential long entry). Red Arrows: Bearish stop hunt (potential short entry). Works best in range conditions, liquidity zones, or near session highs/lows. Combine with order flow, volume profile, or price action for extra confirmation. Recommended Timeframes: 1m–15m for scalping; 30m–1h for intraday. Markets: Crypto, Forex, Indices. ⚙️ Inputs Lookback Bars — swing detection Volume Spike Multiplier EMA Length (trend filter) Min Retrace — how much price must return inside range Max ADX — trend filter sensitivity ⚠️ Disclaimer This script is for educational purposes only and does not constitute financial advice. Always test thoroughly before live trading.
Indicador Pine Script®
por artemka3091
Open Interest Screener (Fixed Zones)📌 Purpose This indicator scans Open Interest (OI) changes across selected exchanges and highlights significant spikes or drops directly on the chart using dynamic shaded zones. It is designed to help traders detect unusual market positioning changes that may precede volatility events. 🧠 How It Works 1. Data Sources Supports multiple exchanges: BitMEX USD, BitMEX USDT, Kraken USD (toggle on/off in settings). Automatically adapts symbol prefix based on the chart’s base asset. 2. Spike / Drop Detection OI % Change is calculated over a configurable lookback (Bars to look back). Spike Up: OI increases by more than Threshold %. Spike Down: OI decreases by more than Threshold %. 3. Dynamic Zones When a spike occurs, a green zone (increase) or red zone (decrease) is drawn on the chart. Zone height is dynamic, based on price high/low ± 5%, preventing chart distortion. Minimum spacing (Zone Spacing) prevents clustering. 📈 How to Use Green Zones: Large OI increase can signal fresh positioning (possible breakout setups). Red Zones: Large OI decrease can signal liquidation events or position unwinds. Combine with price action, funding rates, or volatility measures for higher confidence. Recommended Timeframes: Works best on 15m, 1h, 4h. Markets: Crypto derivatives (OI data available). ⚙️ Inputs Bars to Look Back OI % Change Threshold Zone Width Exchange toggles (BitMEX USD/USDT, Kraken USD) ⚠️ Disclaimer This script is for educational purposes only and does not constitute financial advice. Always test thoroughly before live trading.
Indicador Pine Script®
por artemka3091
Volume Scanner (Spikes & Drops) [Context]📌 Purpose This indicator detects significant volume spikes or drops and optionally filters them by price context (local highs/lows). It helps identify potential breakout or exhaustion points with improved signal quality compared to raw volume alerts. 🧠 How It Works 1. Volume Spike / Drop Detection SMA Volume over N bars is calculated as baseline. Volume Spike: Volume > SMA × Spike Multiplier (default 1.5×). Volume Drop: Volume < SMA × Drop Multiplier (default 0.5×). 2. Context Filter (optional) When Use Context = ON: Bullish Context: Volume spike at/near local price high (last Lookback bars). Bearish Context: Volume drop at/near local price low (last Lookback bars). 3. Signal Gap Minimum spacing between signals (Min Gap Bars) prevents excessive clustering. 4. Visuals Background shading: Green = Volume Spike in bullish context. Red = Volume Drop in bearish context. Alerts can be configured for both conditions. 📈 How to Use Volume Spikes near highs can indicate breakouts or exhaustion tops. Volume Drops near lows can signal liquidity dry-up or potential reversals. Combine with price action or support/resistance for confirmation. Recommended Timeframes: Works on all timeframes; more reliable on 15m, 1h, 4h. Markets: Crypto, Forex, Stocks. ⚙️ Inputs Volume SMA Length Spike Multiplier / Drop Multiplier Use Context (High/Low filter) Min Gap Bars (avoid clustered signals) ⚠️ Disclaimer This script is for educational purposes only. It does not constitute financial advice. Always test thoroughly before live trading.
Indicador Pine Script®
por artemka3091
Smart Volatility Squeeze + Trend Filter📌 Purpose This indicator detects volatility squeeze conditions when Bollinger Bands contract inside Keltner Channels and signals potential breakout opportunities. It also includes an optional EMA-based trend filter to align signals with the dominant market direction. 🧠 How It Works 1. Squeeze Condition Bollinger Bands (BB): Length = 20, StdDev = 2.0 (default) Keltner Channels (KC): EMA Length = 20, ATR Multiplier = 1.5 (default) Squeeze ON: Occurs when BB Upper < KC Upper and BB Lower > KC Lower (low volatility zone). 2. Breakout Signals Long Breakout: Price crosses above BB Upper after squeeze. Short Breakout: Price crosses below BB Lower after squeeze. 3. Trend Filter (optional) EMA(50) used to confirm breakout direction: Long signals allowed only if price > EMA(50) Short signals allowed only if price < EMA(50) Toggle Use Trend Filter to enable/disable. 4. Visual & Alerts Green circle at chart bottom indicates Squeeze ON. Green/Red triangles mark breakouts. Background gradually brightens during squeeze buildup. Alerts available for long and short breakouts. 📈 How to Use Look for Squeeze ON → then wait for breakout arrows. Trade in breakout direction, preferably with trend filter ON. Works best on higher timeframes (1h, 4h, D) and trending markets. Markets: Crypto, Forex, Stocks — effective in volatile assets. ⚙️ Inputs BB Length / StdDev KC EMA Length / ATR Multiplier Use Trend Filter Trend EMA Length ⚠️ Disclaimer This script is for educational purposes only. It does not constitute financial advice. Always test thoroughly before live trading.
Indicador Pine Script®
por artemka3091
Smart Impulse Exhaustion Finder (ATR + ADX Filter)📌 Purpose This indicator detects potential exhaustion of strong bullish or bearish impulses at fresh swing highs/lows by combining multiple price action and volatility-based filters. 🧠 How It Works A signal is triggered only when all core conditions are satisfied: 1. Swing High/Low Detection Current high (or low) must be the highest (or lowest) over the last Extremum Lookback bars (default: 50). This ensures the move is significant relative to recent price action. 2. Impulse Confirmation Price must extend by at least 1 × ATR from the previous swing point. This filters out minor fluctuations. 3. Exhaustion Conditions (at least 2 out of 3 must be met) RSI Extreme: RSI > Overbought Level (default: 80) for bearish signals, RSI < Oversold Level (default: 20) for bullish signals. Volume Spike: Volume > SMA(Volume, Volume SMA Length) × Volume Spike Multiplier. Candle Wick Rejection: Upper wick ≥ Wick Threshold % for bearish setups, Lower wick ≥ Wick Threshold % for bullish setups. 4. Trend Filter ADX > ADX Threshold ensures the market is trending and filters out sideways conditions. 5. Candle Body Filter Candle body must be ≥ Body Size ATR Factor × ATR. This avoids weak signals from small candles or doji formations. 📈 How to Use Bearish Signal: Appears at fresh swing highs with exhaustion conditions met. Useful for tightening stops, taking partial profits, or counter-trend shorts. Bullish Signal: Appears at fresh swing lows with exhaustion conditions met. Useful for trailing stops, profit-taking, or counter-trend longs. Recommended Timeframes: Works best on 1h, 4h, and Daily charts. Markets: Crypto, Forex, Stocks — wherever volatility and trends are present. ⚙️ Inputs RSI Length / Overbought / Oversold Volume SMA Length & Volume Spike Multiplier Wick Threshold % Extremum Lookback (bars for highs/lows) ADX Length & Threshold Body Size ATR Factor ⚠️ Disclaimer This script is for educational purposes only and does not constitute financial advice. Always test thoroughly and apply proper risk management before live trading. 💡 Tip: Combine this tool with your own market context and confluence factors for higher probability setups.
Indicador Pine Script®
por artemka3091
PrismNorm (Rolling)# PrismNorm (Rolling) Overview PrismNorm (Rolling) frames four series — VWMA, TWMA, TrueWMA, and a half-price line — over a fixed lookback window, with all series scaled by a chosen volatility measure. Each bar shows how far price has strayed from its rolling anchor, expressed in StdDev, MAD, ATR-scaled, or fixed-percent units. How It Works • Compute rolling Weighted Moving Averages over the last lookback bars: — VWMA: volume-weighted HLC3 — TWMA: simple average of OHLC midpoint — TrueWMA: TrueRange-weighted TrueMid average • Anchor each series to its value lookback bars ago (first bar in window). The half-price series uses either close or an SMA lagged by half the window. • Calculate a volatility measure over volWindowLen = lookback × normMult bars: — Std Dev of close — MAD of close — ATR averaged and scaled to approximate σ — A fixed percent of the window’s anchor value • Band width = volatility (or percent of anchor). Normalized output = (net move) ÷ (band width) Inputs Settings / Description • Lookback Period (bars) / Bars used for rolling WMAs and as the anchor lookback • Deviation Measure / Volatility method: Std Dev, MAD, ATR (scaled), or Percent • Normalization Span (×Lookback) / Multiplier (1–10) to expand lookback into volatility window • Percent Deviation (%) / When Percent mode is on, band width = this % of the anchor WMA (or price) • Scale MAD to σ / Scale Mad by √(π/2) so it aligns with σ under Normal distribution • Use MA Anchor for Price (½×) / Off: anchor = close ; On: anchor = SMA(close, lookback) shifted by half the lookback Display • Show Normalized VWMA • Show Normalized TWMA • Show Normalized TrueWMA • Show Normalized Price (½×) Tips & Use Cases • Percent mode yields fixed-width bands, handy for identifying structural shifts without volatility scaling. • Toggling the MA anchor smooths the reference point, reducing noise in price normalization. References: 1. TrueWMA Description ## 1. TrueWMA: Volatility-Weighted Price Averaging What Is TrueWMA? TrueWMA weights each bar’s TrueMid (TrueRange midpoint) by its TrueRange, so high-volatility bars carry more influence. It blends price level and volatility into one moving average. In short, it’s a *TrueRange-weighted TrueMid average*. Pseudocode // TWMA Example for Comparison window_size = 50 OHLC = (Open + High + Low + Close) / 4 TWMA = MA(OHLC, window_size) // VWMA Example for Comparison window_size = 50 HLC3 = (High + Low + Close) / 3 VWMA = Sum(HLC3 * Volume, window_size) / Sum(Volume, window_size) // TrueWMA (Rolling) window_size = 50 max_val = Maximum(Close , High) // TrueRange High min_val = Minimum(Close , Low) // TrueRange Low true_mid = (max_val + min_val) / 2 // TrueMid TrueWMA = Sum(true_mid * TrueRange, window_size) / Sum(TrueRange, window_size) Interpretation For each bar, Rolling TrueWMA: • Computes a TrueMid (“contextual midpoint”) from the prior close and the current bar’s high/low. • Weights each TrueMid by that bar’s TrueRange. • Divides the sum of those weighted midpoints by the total TrueRange over the lookback window. The result is a single series that dynamically blends price levels with recent volatility.
Indicador Pine Script®
por DeltaStats
PrismNorm (Anchored)# PrismNorm (Anchored) Overview PrismNorm plots anchored, span-normalized price averages (VWAP, TWAP, TrueWAP) alongside a half-price line, with all series scaled by a blended volatility measure. This frames price swings across anchor periods of varying lengths in units of recent volatility. How It Works On each new anchor span (session, week, month, etc.), the script: • Resets an anchor line to the first bar’s open. • Computes raw VWAP, TWAP, TrueWAP and a half-price delta (close–anchor)/2 cumulatively over the span. • Calculates a deviation metric (Std Dev, MAD, ATR-scaled, or Percent of anchor price) for the current span. • Blends the current span’s deviation with up to N prior spans (for non-Percent modes). • Divides each net price series by the blended deviation to yield normalized outputs. Inputs Settings / Description • Anchor Period / Span for resetting the anchor line (Week, Month, etc.) • Deviation Measure / Volatility method for normalization: Std Dev, MAD, ATR (scaled), or Percent • Normalization Interval / Number of past spans (current+1 … current+10) to include in blended deviation • Percent Deviation (%) / Band width % when Percent mode is selected (applied to anchor price) • Scale MAD to σ / Scale MAD by √(π/2) so it aligns with σ under Normal distribution Display • Show Normalized VWAP • Show Normalized TWAP • Show Normalized TrueWAP • Show Normalized Price (½×) Tips & Use Cases • Use shorter anchor spans (Session, Week) for intraday normalization. • Use longer spans (Quarter, Year) to compare price action across macro periods. References: 1. TrueWAP Description 2. SD, MAD, ATR (scaled) Deviation Measure Methodology ## 1. TrueWAP: Volatility-Weighted Price Averaging What Is TrueWAP? TrueWAP plugs actual price fluctuations into your average. Instead of only tracking time (TWAP) or volume (VWAP), it weights each bar’s TrueMid (TrueRange midpoint) by its TrueRange—so when the market moves more, that bar counts more. In short, it’s a *TrueRange-weighted TrueMid average* anchored at your start date. TrueWAP (Anchored) Overview • On the first bar, it uses the simple high-low midpoint for price and the bar’s high-low range for weighting. • From the next bar onward, it computes TrueMid (TrueRange midpoint). • Each TrueMid is weighted by its TrueRange and cumulatively summed from the anchor point. Pseudocode // TWAP Example for Comparison current_days = BarsSince("start_of_period") OHLC = (Open + High + Low + Close) / 4 TWAP = MA(OHLC, current_days) // VWAP Example for Comparison current_days = BarsSince("start_of_period") HLC3 = (High + Low + Close) / 3 VWAP = Sum(HLC3 * Volume, current_days) / Sum(Volume, current_days) // TrueWAP (Anchored) current_days = BarsSince("start_of_period") // Count of bars since the period began first_bar = (current_days == 0) // Boolean flag if current bar is 1st of period hilo_mid = (High + Low) / 2 max_val = max(Close , High) min_val = min(Close , Low) true_mid = (max_val + min_val) / 2 // Use hilo_mid and (High - Low) for the first bar; otherwise, use true_mid and True Range mid_val = IF(first_bar, hilo_mid, true_mid) range_val = IF(first_bar, (High - Low), TrueRange) TrueWAP = Sum(mid_val * range_val, current_days) / Sum(range_val, current_days) Recap: Interpretation • The first bar uses the simple high-low midpoint and range. • Subsequent bars use TrueMid and TrueRange based on prior close. • This ensures the average reflects only the observed volatility and price since the anchor. A Note on True Range TrueRange captures the full extent of bar-to-bar volatility as the maximum of: • High – Low • |High – Previous Close| • |Low – Previous Close| ## 2. SD, MAD, ATR (scaled) Deviation Measure Methodology: Segmented Weighted-Average Volatility ### Introduction Conventional standard deviation calculations aggregate data over an expanding window and rely on a single mean, producing one summary statistic. This can obscure segmented, sequential datasets—such as MTD, QTD, and YTD—where additional granularity and time-sensitive insights matter. This methodology isolates standard deviation within defined time frames and then proportionally allocates them based on custom lookback criteria. The result is a dynamic, multi-period normalization benchmark that captures both emerging volatility and historical stability. Note: While this example uses SD, the same fixed-point approach applies to MAD and ATR (scaled). ### 2.1 Standard Deviation (Rolling Window) pseudocode // -- STANDARD DEVIATION (ROLLING) Calculation -- window_size = 20 rolling_SD = STDDEV(Close, window_size) • Ideal for immediate trading insights. • Reflects pure, short-term price dynamics. • Captures volatility using the most recent 20 bars. ### 2.2 Blended SD: Current + 3 Past Periods This method fuses current month data with the last three complete months. pseudocode // -- MULTI-PERIOD STANDARD DEVIATION (PROXY) with Three Past Periods -- current_days = BarsSince("start_of_month") current_SD = STDDEV(Close, current_days) prev1_days = TradingDaysLastMonth prev1_SD = STDDEV_LastMonth(Close) prev2_days = TradingDaysTwoMonthsAgo prev2_SD = STDDEV_TwoMonthsAgo(Close) prev3_days = TradingDaysThreeMonthsAgo prev3_SD = STDDEV_ThreeMonthsAgo(Close) // Blending with Proportional Weights Weighted_SD = (current_SD * current_days + prev1_SD * prev1_days + prev2_SD * prev2_days + prev3_SD * prev3_days) / (current_days + prev1_days + prev2_days + prev3_days) • Merges evolving volatility with the stability of three prior months. • Weights each period by its trading days. • Yields a robust normalization benchmark. ### 2.3 Blended SD: Current + 1 Past Period This variant tempers emerging volatility by blending the current month with last month only. pseudocode // -- MULTI-PERIOD STANDARD DEVIATION (PROXY) with One Past Period -- current_days = BarsSince("start_of_month") current_SD = STDDEV(Close, current_days) prev1_days = TradingDaysLastMonth prev1_SD = STDDEV_LastMonth(Close) // Proportional Blend Weighted_SD = (current_SD * current_days + prev1_SD * prev1_days) / (current_days + prev1_days) • Anchors current volatility to last month’s baseline. • Softens spikes by blending with historical data. Conclusion Segmented weighted-average volatility transforms global benchmarking by integrating immediate market dynamics with historical context. This fixed-point approach—applicable to SD, MAD, and ATR (scaled)—delivers time-sensitive analysis.
Indicador Pine Script®
por DeltaStats
Master Trend Navigator/趋势大师导航仪[4H] by mrlazycat趋势大师导航仪使用说明 ⚠ 非常重要，使用指标前请认真阅读这个使用说明 指标核心功能 本指标通过分析比特币的成交量、动能指标（MACD）、相对强弱指数（RSI）、趋势强度和成交量比率，生成在-1到1之间波动的趋势大师导航仪，帮助判断买卖时机。指标最佳适用场为4小时（4H）图表，适合1-2周的中短期交易。该趋势大师导航仪适用于 BTC,ETH, DOGE 等现货成交量大的虚拟货币 趋势曲线解读指南 ① 市场状态（曲线颜色） 暗紫色：区间震荡市场 浅红色：弱多头趋势 深红色：强多头趋势 浅绿色：弱空头趋势 深绿色：强空头趋势 ② 关键信号区域 红色区域（超买）：趋势曲线 ≥ 0.6 时，可能出现回调风险 绿色区域（超卖）：趋势曲线 ≤ -0.615 时，可能出现反弹机会 ③ 锁定机制 在强多头趋势（深红色）和深绿色（强空头趋势）和部分弱趋势期间： 如果趋势曲线突破红色区域（超买）且市场趋势强度保持在强趋势或较强的弱趋势，趋势曲线会锁定在0.7附近（原始曲线以灰色继续）。 如果趋势曲线跌破绿色区域（超卖）且市场趋势强度保持在强趋势或较强的弱趋势，趋势曲线会锁定在-0.7附近（原始曲线以灰色继续）。 这表示趋势可能继续发展，建议等待锁定期结束后再进行操作。 ✅ 极端多头趋势的特殊案例：（如ETH在2025年7月10日到20日，趋势曲线一直维持红色，意味着多头趋势不变。但这段时间ETH的趋势曲线曾跌到超卖区，因此曲线曾在底部锁定3个K线的时间，这意味着是多头右侧追多的机会。） 交易信号 ① 超买超卖信号 红色区域（超买）：趋势曲线 ≥ 0.6 时，可能出现回调风险 绿色区域（超卖）：趋势曲线 ≤ -0.615 时，可能出现反弹机会 ② 成交量爆发信号 顶部红色圆圈：代表成交量比率的爆发期，可能在当前或未来1-6根K线内出现阶段性高点。 底部黄色圆圈：代表成交量比率的潜在底部机会，可能在当前或未来1-6根K线内出现阶段性低点。 ✅ 注意连续大量的顶部红色圆圈和底部黄色圆圈的出现，这意味着极端行情的出现。 ③ 背离信号 顶背离（卖出信号）：红色倒三角图标（标记为Bearish divergence\Sell）出现在趋势曲线顶部，当价格创新高但趋势曲线未创新高时触发，预示大幅回调风险。 底背离（买入信号）：绿色正三角图标（标记为Bullish divergence\Buy）出现在趋势曲线底部，当价格创新低但趋势曲线未创新低时触发，预示底部反弹机会。 使用注意事项 ① 交易所推荐：同时使用币安(Binance)和OKX的BTC/USDT现货数据（不同交易所的量能差异可能影响信号准确性）。 ② 特殊行情优化：已针对2024-2025年比特币ETF上市后的低波动行情调整参数，未来将持续根据市场变化优化。 ③ 强趋势操作提示：当趋势曲线锁定在超买或超卖区，应减少逆势操作。 ④ 首次使用建议：观察历史行情以验证信号特征，震荡市捕捉反转点，趋势市识别延续信号。 最简单操作要诀 ✅ 底部抄底组合：强空头趋势转弱空头 + 绿色超卖区 + 底背离绿色三角 + 底部黄色成交量圈 ✅ 顶部逃顶组合：强多头趋势转弱多头趋势转换 + 红色超买区 + 顶背离红色三角 + 顶部红色成交量圈 ✅ 趋势延续信号：趋势曲线锁定在 ±0.7 时，耐心等待锁定解除 推特联系：Jeffmo0769 Trend Master Navigator User Guide ⚠ Important: Please read this guide carefully before using the indicator Core Functionality This indicator analyzes Bitcoin's trading volume, MACD, RSI, trend strength, and volume ratio to generate the Trend Master Navigator, which oscillates between -1 and 1 to assist in buy/sell decisions. The indicator is best suited for 4-hour (4H) charts and is ideal for 1-2 week swing trading.The Trend Master Navigator is suitable for cryptocurrencies with high spot trading volumes, such as BTC ， ETH , and DOGE . Interpreting the Trend Curve ① Market States (Curve Colors) Dark Purple: Range-bound market Light Red: Weak bullish trend Deep Red: Strong bullish trend Light Green: Weak bearish trend Deep Green: Strong bearish trend ② Key Signal Zones Red Zone (Overbought): Trend curve ≥ 0.6 → Potential pullback risk Green Zone (Oversold): Trend curve ≤ -0.615 → Potential rebound opportunity ③ Locking Mechanism During strong bullish trends (deep red) and strong bearish trends (deep green), and partial weak trends: If the trend curve breaks above the red zone (overbought) and market trend strength remains in a strong trend or robust weak trend, the trend curve will lock near 0.7 (original curve continues in gray). If the trend curve breaks below the green zone (oversold) and market trend strength remains in a strong trend or robust weak trend, the trend curve will lock near -0.7 (original curve continues in gray). This indicates that the trend may continue, and it is advisable to wait until the lock period ends before taking action. ✅ In the context of extreme bullish trends (e.g., ETH from July 10 to 20, 2025, where the trend curve remained red, indicating a persistent bullish trend), even though ETH's trend curve once dipped into the oversold zone, causing the curve to lock at the bottom for 3 K-line periods, this signifies a right-side buying opportunity during the bullish trend. Trading Signals ① Overbought/Oversold Signals Red Zone (Overbought): Trend curve ≥ 0.6 → Potential pullback risk Green Zone (Oversold): Trend curve ≤ -0.615 → Potential rebound opportunity ② Volume Explosion Signals Top Red Circle: Represents a volume ratio explosion period, possibly indicating a phase peak within the current or next 1-6 bars. Bottom Yellow Circle: Represents a potential bottom opportunity in volume ratio, possibly indicating a phase trough within the current or next 1-6 bars. ✅ Pay attention to the continuous appearance of top red circles and bottom yellow circles, as this signals the emergence of extreme market conditions. ③ Divergence Signals Bearish Divergence (Sell): Red inverted triangle icon (marked as Bearish divergence\Sell) appears at the trend curve top when the price makes a new high, but the trend curve does not; this indicates a significant pullback risk. Bullish Divergence (Buy): Green upright triangle icon (marked as Bullish divergence\Buy) appears at the trend curve bottom when the price makes a new low, but the trend curve does not; this indicates a potential bottom rebound opportunity. Other Usage Notes ① Exchange Recommendation: Use Binance and OKX BTC/USDT spot data simultaneously (volume discrepancies across different exchanges may affect signal accuracy). ② Special Market Optimization: Parameters have been adjusted for the low-volatility era following the Bitcoin ETF launch (2024-2025) and will continue to be optimized based on market changes. ③ Strong Trend Operation Tips: When the trend curve is locked in overbought or oversold zones, reduce counter-trend operations. ④ First Use Recommendation: Observe historical market trends to validate signal characteristics. Capture reversal points in range-bound markets and identify continuation signals in trending markets. Simplest Trading Tactics ✅ Bottom Picking Setup: Transition from strong bearish trend to weak bearish + Green oversold zone + Bullish divergence green triangle + Bottom yellow volume circle ✅ Top Selling Setup: Transition from strong bullish trend to weak bullish trend + Red overbought zone + Bearish divergence red triangle + Top red volume circle ✅ Trend Continuation Signal: Trend curve locked at ±0.7 → Wait patiently for lock release Contact on X: Jeffmo0769
Indicador Pine Script®
por Mrlazycat
6