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Ehlers Autocorrelation Periodogram (EACP)# EACP: Ehlers Autocorrelation Periodogram ## Overview and Purpose Developed by John F. Ehlers (Technical Analysis of Stocks & Commodities, Sep 2016), the Ehlers Autocorrelation Periodogram (EACP) estimates the dominant market cycle by projecting normalized autocorrelation coefficients onto Fourier basis functions. The indicator blends a roofing filter (high-pass + Super Smoother) with a compact periodogram, yielding low-latency dominant cycle detection suitable for adaptive trading systems. Compared with Hilbert-based methods, the autocorrelation approach resists aliasing and maintains stability in noisy price data. EACP answers a central question in cycle analysis: “What period currently dominates the market?” It prioritizes spectral power concentration, enabling downstream tools (adaptive moving averages, oscillators) to adjust responsively without the lag present in sliding-window techniques. ## Core Concepts * **Roofing Filter:** High-pass plus Super Smoother combination removes low-frequency drift while limiting aliasing. * **Pearson Autocorrelation:** Computes normalized lag correlation to remove amplitude bias. * **Fourier Projection:** Sums cosine and sine terms of autocorrelation to approximate spectral energy. * **Gain Normalization:** Automatic gain control prevents stale peaks from dominating power estimates. * **Warmup Compensation:** Exponential correction guarantees valid output from the very first bar. ## Implementation Notes **This is not a strict implementation of the TASC September 2016 specification.** It is a more advanced evolution combining the core 2016 concept with techniques Ehlers introduced later. The fundamental Wiener-Khinchin theorem (power spectral density = Fourier transform of autocorrelation) is correctly implemented, but key implementation details differ: ### Differences from Original 2016 TASC Article 1. **Dominant Cycle Calculation:** - **2016 TASC:** Uses peak-finding to identify the period with maximum power - **This Implementation:** Uses Center of Gravity (COG) weighted average over bins where power ≥ 0.5 - **Rationale:** COG provides smoother transitions and reduces susceptibility to noise spikes 2. **Roofing Filter:** - **2016 TASC:** Simple first-order high-pass filter - **This Implementation:** Canonical 2-pole high-pass with √2 factor followed by Super Smoother bandpass - **Formula:** `hp := (1-α/2)²·(p-2p +p ) + 2(1-α)·hp - (1-α)²·hp ` - **Rationale:** Evolved filtering provides better attenuation and phase characteristics 3. **Normalized Power Reporting:** - **2016 TASC:** Reports peak power across all periods - **This Implementation:** Reports power specifically at the dominant period - **Rationale:** Provides more meaningful correlation between dominant cycle strength and normalized power 4. **Automatic Gain Control (AGC):** - Uses decay factor `K = 10^(-0.15/diff)` where `diff = maxPeriod - minPeriod` - Ensures K < 1 for proper exponential decay of historical peaks - Prevents stale peaks from dominating current power estimates ### Performance Characteristics - **Complexity:** O(N²) where N = (maxPeriod - minPeriod) - **Implementation:** Uses `var` arrays with native PineScript historical operator ` ` - **Warmup:** Exponential compensation (§2 pattern) ensures valid output from bar 1 ### Related Implementations This refined approach aligns with: - TradingView TASC 2025.02 implementation by blackcat1402 - Modern Ehlers cycle analysis techniques post-2016 - Evolved filtering methods from *Cycle Analytics for Traders* The code is mathematically sound and production-ready, representing a refined version of the autocorrelation periodogram concept rather than a literal translation of the 2016 article. ## Common Settings and Parameters | Parameter | Default | Function | When to Adjust | |-----------|---------|----------|---------------| | Min Period | 8 | Lower bound of candidate cycles | Increase to ignore microstructure noise; decrease for scalping. | | Max Period | 48 | Upper bound of candidate cycles | Increase for swing analysis; decrease for intraday focus. | | Autocorrelation Length | 3 | Averaging window for Pearson correlation | Set to 0 to match lag, or enlarge for smoother spectra. | | Enhance Resolution | true | Cubic emphasis to highlight peaks | Disable when a flatter spectrum is desired for diagnostics. | **Pro Tip:** Keep `(maxPeriod - minPeriod)` ≤ 64 to control $O(n^2)$ inner loops and maintain responsiveness on lower timeframes. ## Calculation and Mathematical Foundation **Explanation:** 1. Apply roofing filter to `source` using coefficients $\alpha_1$, $a_1$, $b_1$, $c_1$, $c_2$, $c_3$. 2. For each lag $L$ compute Pearson correlation $r_L$ over window $M$ (default $L$). 3. For each period $p$, project onto Fourier basis: $C_p=\sum_{n=2}^{N} r_n \cos\left(\frac{2\pi n}{p}\right)$ and $S_p=\sum_{n=2}^{N} r_n \sin\left(\frac{2\pi n}{p}\right)$. 4. Power $P_p=C_p^2+S_p^2$, smoothed then normalized via adaptive peak tracking. 5. Dominant cycle $D=\frac{\sum p\,\tilde P_p}{\sum \tilde P_p}$ over bins where $\tilde P_p≥0.5$, warmup-compensated. **Technical formula:** ``` Step 1: hp_t = ((1-α₁)/2)(src_t - src_{t-1}) + α₁ hp_{t-1} Step 2: filt_t = c₁(hp_t + hp_{t-1})/2 + c₂ filt_{t-1} + c₃ filt_{t-2} Step 3: r_L = (M Σxy - Σx Σy) / √ Step 4: P_p = (Σ_{n=2}^{N} r_n cos(2πn/p))² + (Σ_{n=2}^{N} r_n sin(2πn/p))² Step 5: D = Σ_{p∈Ω} p · ĤP_p / Σ_{p∈Ω} ĤP_p with warmup compensation ``` > 🔍 **Technical Note:** Warmup uses $c = 1 / (1 - (1 - \alpha)^{k})$ to scale early-cycle estimates, preventing low values during initial bars. ## Interpretation Details - **Primary Dominant Cycle:** - High $D$ (e.g., > 30) implies slow regime; adaptive MAs should lengthen. - Low $D$ (e.g., < 15) signals rapid oscillations; shorten lookback windows. - **Normalized Power:** - Values > 0.8 indicate strong cycle confidence; consider cyclical strategies. - Values < 0.3 warn of flat spectra; favor trend or volatility approaches. - **Regime Shifts:** - Rapid drop in $D$ alongside rising power often precedes volatility expansion. - Divergence between $D$ and price swings may highlight upcoming breakouts. ## Limitations and Considerations - **Spectral Leakage:** Limited lag range can smear peaks during abrupt volatility shifts. - **O(n²) Segment:** Although constrained (≤ 60 loops), wide period spans increase computation. - **Stationarity Assumption:** Autocorrelation presumes quasi-stationary cycles; regime changes reduce accuracy. - **Latency in Noise:** Even with roofing, extremely noisy assets may require higher `avgLength`. - **Downtrend Bias:** Negative trends may clip high-pass output; ensure preprocessing retains signal. ## References * Ehlers, J. F. (2016). “Past Market Cycles.” *Technical Analysis of Stocks & Commodities*, 34(9), 52-55. * Thinkorswim Learning Center. “Ehlers Autocorrelation Periodogram.” * Fab MacCallini. “autocorrPeriodogram.R.” GitHub repository. * QuantStrat TradeR Blog. “Autocorrelation Periodogram for Adaptive Lookbacks.” * TradingView Script by blackcat1402. “Ehlers Autocorrelation Periodogram (Updated).”
Pine Script®指標
由mihakralj提供
ChartWise Pro 9/30Complete Indicator Description Added! This comprehensive description covers: 📊 Core Signal System - MA Crossover Strategy (9/30) 📦 Order Blocks (OB) - Institutional zones 📈 Fair Value Gaps (FVG) - Price imbalances 🔝 Double Top/Bottom - Reversal patterns 📍 Support & Resistance - Key levels with beeping 🚩 Swing Flags - Green/Red for highs/lows 📐 Chart Patterns - Channels, wedges, triangles 🔄 CHOCH - Change of Character 🧠 Smart Features - Auto-cleanup, sound alerts, toggles 🌐 Markets - Crypto, Futures, Forex, Options 🔌 Platforms - TradingView, Sierra, Rithmic, etc. This description is now live on your About page! 📚
Pine Script®指標
由al4trazz提供
Amiya's Doji / Hammer / Spinning Top Breakout Strategy v5How it works 1. Pattern Detection (Previous Candle): • Checks if total shadow length ≥ 2 × body. • Checks if candle height (high − low) is between 10 and 21.5 points. • If true → marks that candle as a potential Doji, Hammer, or Spinning Top. 2. Long Setup: • LTP (close) crosses above previous candle high. • Previous candle is a valid pattern candle. • Stop Loss = 3 points below previous candle low. • Take Profit = 5 × (high − low) of previous candle added to previous high. 3. Short Setup: • LTP (close) crosses below previous candle low. • Previous candle is a valid pattern candle. • Stop Loss = 3 points above previous candle high. • Take Profit = 5 × (high − low) of previous candle subtracted from previous low. 4. Visualization: • Yellow background highlights pattern candles. • Green ▲ and Red ▼ markers show entry points. Deep yellow candles → represent Doji / Hammer / Spinning Top patterns • Green triangle → Buy signal • Red triangle → Sell signal • Dotted green line + label → Target • Dotted red line + label → Stop loss • Gray background → Outside trading hours • Auto close → All trades square off at 3:29 PM IST
Pine Script®策略
由amiyashankar提供
Trading Lot & Margin Calculator # 💹 Trading Lot & Margin Calculator - Professional Risk Management Tool ## 🎯 Overview A comprehensive, all-in-one calculator dashboard that helps traders determine optimal position sizes, calculate margin requirements, and manage risk effectively across multiple asset classes. This indicator displays directly on your chart as a customizable table, providing real-time calculations based on current market prices. ## ✨ Key Features ### 📊 Three Powerful Calculation Modes: **1. Calculate Lot Size (Risk-Based Position Sizing)** - Input your risk percentage and stop loss in pips - Automatically calculates the optimal lot size for your risk tolerance - Respects margin limitations (configurable margin % cap) - Ensures positions don't exceed minimum lot size (0.01) - Perfect for risk management and proper position sizing **2. Calculate Margin Cost** - Input desired lot size - See exactly how much margin is required - Shows percentage of deposit used - Displays free margin remaining - Warns when insufficient funds **3. Margin to Lots** - Specify a fixed margin amount you want to use - Calculator shows how many lots/contracts you can buy - Ideal for traders with fixed margin budgets ## 🤖 Auto-Detection of Instruments The calculator **automatically detects** what you're trading and adjusts calculations accordingly: ### ✅ Fully Supported: - **💱 Forex Pairs** - All majors, minors, exotics (EURUSD, GBPJPY, etc.) - Standard lot: 100,000 units - JPY pairs: 0.01 pip size, others: 0.0001 - **🛢️ Commodities** - Gold, Silver, Oil - XAUUSD (Gold): 100 oz per lot - XAGUSD (Silver): 5,000 oz per lot - Oil (WTI/Brent): 1,000 barrels per lot - **📈 Indices** - US500, NAS100, US30, DAX, etc. - Correct contract sizes per point - **📊 Stocks** - All individual stocks - 1 lot = 1 share - Direct share calculations ### ⚠️ Known Limitation: - **₿ Crypto calculations may not work properly** on all crypto pairs. Use manual contract size if needed. ## 📋 Dashboard Information Displayed: - 🎯 Optimal/Requested Lot Size - 💰 Margin Required - 📊 Margin % of Deposit - 💵 Free Margin Remaining - 💎 Position Value - 📈 Pip/Point Value - ⚠️ Safety Warnings (insufficient funds, high risk, etc.) - 🔍 Detected Instrument Type - 📦 Contract Size ## ⚙️ Customizable Settings: **Account Settings:** - Account Deposit - Leverage (1:1 to 1:1000) - Max Margin % of Deposit (default 5% for safety) **Risk Management:** - Risk Percentage (for lot size calculation) - Stop Loss in Pips - Lot Amount (for margin cost calculation) - Margin to Use (for margin-to-lots calculation) **Display Options:** - Show/Hide Dashboard - Position: Top/Middle/Bottom, Left/Right - Auto-detect instrument ON/OFF - Manual contract size override ## 🎨 Professional Design - Clean, modern table interface - Color-coded warnings (red = danger, yellow = caution, green = safe) - Large, readable text - Minimal screen space usage - Non-intrusive overlay ## 💡 Use Cases: 1. **Day Traders** - Quick position sizing based on account risk 2. **Swing Traders** - Calculate optimal positions for longer-term setups 3. **Risk Managers** - Ensure positions stay within margin limits 4. **Beginners** - Learn proper position sizing and risk management 5. **Multi-Asset Traders** - Seamlessly switch between forex, commodities, indices, and stocks ## ⚠️ Important Notes: - ✅ Works on all timeframes - ✅ Updates in real-time with price changes - ✅ Minimum lot size enforced (0.01) - ✅ Margin calculations use current chart price - ⚠️ **Crypto calculations may be inaccurate** - verify with your broker - 📌 Always verify calculations with your broker's specifications - 📌 Contract sizes may vary by broker ## 🚀 How to Use: 1. Add indicator to any chart 2. Click settings ⚙️ icon 3. Enter your account details (deposit, leverage) 4. Choose calculation mode 5. Input your parameters 6. View optimal lot size and margin requirements on dashboard ## 📈 Perfect For: - Forex traders managing multiple currency pairs - Commodity traders (Gold, Silver, Oil) - Index traders (S&P 500, NASDAQ, etc.) - Stock traders - Anyone who wants professional risk management ## 🛡️ Risk Management Features: - Configurable margin % cap prevents over-leveraging - Risk-based position sizing protects your account - Warnings for high risk, insufficient funds, margin limitations - Prevents positions below minimum lot size --- **Trade smarter, not harder. Calculate before you trade!** 📊💪 --- ## Version Notes: - Pine Script v6 - Overlay mode for chart display - No external dependencies - Lightweight and fast **Disclaimer:** This calculator is for educational and informational purposes only. Always verify calculations with your broker and trade at your own risk. Past performance does not guarantee future results. ---
Pine Script®指標
由Makshels提供
MarketMonkey-Indicator-Set-1 - GMMA open 🧠 MarketMonkey-Indicator-Set-1 — GMMA Open GMMA (Guppy Multiple Moving Average) Toolkit for Trend Clarity & Timing The MarketMonkey GMMA Open indicators brings a clean, high-performance visual of trend strength and direction using multiple exponential moving averages (EMAs) across short- and long-term time frames. Designed for traders who want to see momentum shifts and market transitions as they happen, this version overlays directly on the price chart for quick and confident reads. 🔍 How It Works * Short-term EMAs (3–15) track trader sentiment and momentum. * Long-term EMAs (30–60) show investor trend commitment. * The indicator dynamically colors the long-term EMAs: * 🔵 Blue : Upward momentum * 🔴 Red : Downward momentum When the short-term group expands above the long-term group, it signals strength and potential continuation. Tightening or compression may warn of pauses or reversals. 💡 Features * 12 adjustable EMA periods (customize your GMMA spacing) * Automatic color shifts for trend clarity * Live price flag for easy reference * Compact ticker/date display in the top-right corner * Minimalist, overlay-based design — no clutter, just clarity 📈 Best Used For * Spotting early trend changes * Confirming continuation or breakout setups * Identifying compression zones before reversals * Overlaying on ASX, S&P, FX, Gold, or Crypto charts 🔔 Part of the MarketMonkey Indicator Set series — tools built for real-world trend recognition and momentum trading.
Pine Script®指標
由Market_Monkey_AU提供
BankNifty Etharia Aggresive Buyer / SellerOverview Professional intraday trading strategy for BankNifty Futures that identifies high-probability setups by combining multiple technical indicators. Works in BOTH directions - LONG and SHORT. Best Timeframe: 5-Minute Chart Key Features: ✅ Multi-Confluence Entry System - All indicators must align for signal ✅ Bidirectional Trading - Captures both uptrends and downtrends ✅ Advanced Risk Management - Daily loss limits, consecutive loss protection ✅ Smart Exit System - Partial profit taking + trailing stops ✅ Session-Based Trading - Avoids opening and closing volatility Entry Logic: LONG Signals: Price above Kernel Regression (trend confirmation) Price above VWAP with positive slope (momentum) Cumulative Volume Delta bullish (buying pressure) Volume spike or increasing volume (strength confirmation) Strong bullish candle with 60%+ body ratio RSI filter to avoid overbought entries SHORT Signals: Price below Kernel Regression (downtrend confirmation) Price below VWAP with negative slope (bearish momentum) CVD bearish (selling pressure dominates) High volume confirmation Strong bearish candle pattern RSI filter to avoid oversold entries Exit Management: 🎯 Target 1: 1.5 R:R (50% position exit) 🎯 Target 2: 2.5 R:R (full exit) 🛡️ Stop Loss Options: ATR-based, Swing-based, or Fixed 🟡 Trailing Stop: Activates after 1.2 R:R, trails at 0.8 R:R ⏰ Time-Based Exit: Closes all positions 5 mins before session end Risk Controls: Maximum trades per day (default: 5) Consecutive loss limit (default: 2) Daily loss limit: 2.5% of capital Daily profit target: 5% (stops trading when reached) Position sizing based on account risk percentage Recommended Settings: Asset: BankNifty Futures (NSE:BANKNIFTY1!) Timeframe: 5-minute Initial Capital: ₹1,00,000 Risk per trade: 1% Commission: 0.05% Slippage: 5 points Performance Expectations: Win Rate: 55-65% Profit Factor: 1.5-2.0 Average Trades/Day: 3-8 Risk:Reward: 1:1.8 average Customizable Parameters: Trading direction (Long Only / Short Only / Both) Indicator lengths and thresholds Stop loss type and targets Risk management limits Trading session hours Best For: Intraday traders seeking systematic, rule-based entries with strong confluence, proper risk management, and the ability to profit from both bullish and bearish market conditions.
Pine Script®策略
由Diamondhands1212提供
Bollinger Band Spread (Dunk)Bollinger Band Width measures the distance between the upper and lower Bollinger Bands. It reflects market volatility—wider bands mean higher volatility, narrower bands mean lower volatility. When the width contracts to low levels, it can signal price consolidation and potential breakouts. When the width expands, it indicates active markets or strong trends. Traders use it to spot volatility squeezes, confirm breakouts, and compare relative volatility across assets or timeframes.
Pine Script®指標
由dunk-devs提供
Trappin Previous Timeframe LevelsTrappin Previous Timeframe Levels (Trappin PTL) Overview Trappin PTL is a comprehensive multi-timeframe support and resistance indicator that displays key price levels from multiple timeframes on a single chart. This indicator helps traders identify critical price zones where reversals or breakouts are likely to occur, making it ideal for both intraday and swing trading strategies. 💡 Origin Story I got tired of manually drawing these lines that I learned from watching Wallstreet Trapper on Trappin Tuesdays YouTube live streams. After repeatedly marking the same previous timeframe levels on every chart, I decided to automate the process. Hope it helps you as much as it helps me! Key Features 📊 Multiple Timeframe Levels The indicator tracks and displays high/low levels from: Previous Hour (PHH/PHL) - Purple lines Previous Day (PDH/PDL) - Green lines Previous Week (PWH/PWL) - Yellow lines Previous Month (PMH/PML) - Blue lines All-Time High (ATH) - Red line 52-Week High - Orange line 🎨 Fully Customizable Colors - Change the color of each timeframe independently Line Styles - Choose between Solid, Dashed, or Dotted lines Line Widths - Adjust thickness from 1-4 pixels All settings organized in intuitive groups for easy access 📍 Smart Line Extension Lines extend back to show when the level was established Lines project forward to show current relevance Historical context helps identify key support/resistance zones 🏷️ Clear Price Labels Each level displays its exact price value (no currency symbols) Labels positioned horizontally to avoid overlap Adaptive text color for visibility on any chart theme (dark or light mode) Why "Trappin"? The name is a tribute to Wallstreet Trapper and his Trappin Tuesdays YouTube live streams, where I learned the importance of marking previous timeframe levels. The name also reflects the indicator's purpose: identifying price levels where traders often get "trapped" - whether it's bulls getting trapped below resistance or bears getting trapped above support. These levels represent zones where significant order flow and liquidity exist, making them prime areas for reversals or breakouts. Credits Created by resoh Inspired by Wallstreet Trapper and Trappin Tuesdays YouTube live streams This indicator is provided for educational and informational purposes. Always practice proper risk management and conduct your own analysis before making trading decisions. Version History v1.0 - Initial Release Multi-timeframe high/low levels All-time high tracking 52-week high tracking Fully customizable colors, styles, and widths Adaptive labels with price display Smart line extension showing historical context
Pine Script®指標
由resoh提供
TTM Squeeze Pro - IntradayTTM Squeeze Pro – Intraday (AI MTF Edition) Design Rationale This indicator is built to help traders identify when markets are consolidating, when volatility is building (squeeze), and when a breakout or trend is starting — all across multiple timeframes. The design combines three powerful ideas: Volatility Compression & Expansion (TTM Squeeze Logic): By comparing Bollinger Bands (BB) and Keltner Channels (KC), the indicator detects when volatility contracts (BB inside KC). These moments often precede explosive moves. White dots on the BB basis line mark these “squeeze” periods. Trend Strength & Direction (ADX System): The ADX (Average Directional Index) measures how strong a trend is. ADX rising above the threshold → trending market. ADX falling below the threshold → consolidation. The system classifies each bar as Trending Up, Trending Down, Consolidating, or Neutral, depending on ADX and momentum direction. Multi-Timeframe (MTF) Alignment: The same logic is applied to several timeframes (1m, 3m, 5m, 15m, 30m, 1h). A compact table at the top-right shows each timeframe’s trend and squeeze strength. This helps traders see whether short-term and higher timeframes are aligned, improving trade confidence and timing. The AI Enhancer automatically adjusts all parameters (ADX, BB, KC lengths, and thresholds) depending on the current chart timeframe, keeping signals consistent between scalping and swing trading setups. Trend and squeeze strengths are normalized on a 1–9 scale, giving users a quick numerical sense of trend power and squeeze intensity. The design emphasizes clarity, speed, and adaptability — critical for intraday trading decisions. How to Use Identify a Squeeze Setup: Look for white dots on the chart — this marks low volatility and potential energy buildup. Wait for Breakout Confirmation: When the white dots disappear, volatility expands. Check the MTF table — if multiple timeframes show green (uptrend) or red (downtrend) in the “TR” column, momentum is aligning. Enter the Trade: Go long if breakout happens above BB basis and most timeframes show green. Go short if breakout happens below BB basis and most timeframes show red. Exit or Manage Position: When new white dots appear → volatility contracting again → consider exiting or tightening stops. If MTF colors become mixed → trend losing strength. In Summary The TTM Squeeze Pro – Intraday AI MTF Indicator blends volatility analysis, trend strength, momentum, and multi-timeframe alignment into one adaptive tool. Its design aims to simplify complex market behavior into a visual, data-backed format — enabling traders to catch high-probability breakout trends early and avoid false moves during low-volatility phases.
Pine Script®指標
由Just-a-Trader提供
st 47Усредненный Ишимоку (Custom: 9/48/96) [V6]st47 — Volume in Clouds This indicator is a custom Ichimoku Cloud modification that dynamically reacts to market volume. The color intensity of the Kumo (cloud) changes depending on the current trading volume — brighter clouds indicate stronger activity, while dimmer ones reflect low participation. Key Features: • Based on the Ichimoku Cloud system (8/48/96 settings) • Volume-sensitive cloud visualization • Works on any timeframe and pair • Supports multi-ticker averaging (BTCUSDT, BTCUSDT.P, etc.) • Displays additional volume histogram below the chart Purpose: Helps visualize both trend structure and the strength behind it by combining Ichimoku logic with real-time volume dynamics.
Pine Script®指標
由sathabodn22提供
Dow Jones Trading System with PivotsThis TradingView indicator, tailored for the 30-minute Dow Jones (^DJI) chart, supports DIA options trading with a trend-following approach. It features a 30-period SMA (blue) and a 60-period SMA (red), with an optional 90-period SMA (orange) drawn from rauItrades' Dow SMA outfit. A bullish crossover (30 SMA > 60 SMA) displays a green "BUY" triangle below the bar for potential DIA longs, while a bearish crossunder (30 SMA < 60 SMA) shows a red "SELL" triangle above for shorts or exits. The background turns green (bullish) or red (bearish) to indicate trend bias. Pivot points highlight recent highs (orange circles) and lows (purple circles) for support/resistance, using a 5-bar lookback. Alerts notify for crossovers.
Pine Script®指標
由DarkMoneyMusic提供
Volume Surge by MashrabThe "Volume Surge" indicator is like a simple market health checkup. It looks at how much of an asset (like a stock or crypto) is being traded right now and compares it to the recent past. Think of it as a way to quickly see if interest in that asset is suddenly spiking, fading, or staying the same. The indicator shows this information in an easy-to-read table right on your chart. How it works: The indicator keeps track of two main things for you: Current Volume: The total trading volume over the last "N" days (or whatever time period you choose). Previous Volume: The total trading volume over the period right before that Then, it gives you a summary: The "Ratio" tells you how many times bigger or smaller the current volume is. The "Percent Change" shows the percentage jump in volume. How to use it: This indicator helps you see when something interesting might be happening. Here are a few ways traders use it: Confirm Breakouts: If a stock breaks above a key price level and the indicator shows a huge volume surge, it’s a stronger signal that the move is real and not a false alarm. Spot Reversals: If a stock has been trending up but the volume starts to drop off, it could mean the trend is losing steam. A sudden, massive volume surge on a down day might indicate panic selling, which can sometimes happen right before the price turns around. Check Trend Strength: A healthy trend usually has increasing volume going in the same direction. For example, if a stock is in an uptrend, you want to see lots of volume on the days it goes up. This indicator isn't a crystal ball, but it's a great tool for understanding the "who" and "how much" behind a price move. It helps you see when a price change is backed by a lot of market activity, which often makes the move more trustworthy.
Pine Script®指標
由highstandart9提供
ChartWise Pro🎯 What is ChartWise Pro? ChartWise Pro is a comprehensive TradingView Pine Script indicator (Version 6) that combines multiple technical analysis tools into one powerful trading system. It helps traders identify high-probability entry and exit points through automated signal detection. 🔧 Core Components: 1. Moving Average Crossover System 📈 Fast MA (Default: 9 periods) - Blue line Slow MA (Default: 50 periods) - Orange line Fully customizable periods (1-200) What it detects: ✅ Golden Cross = Fast MA crosses ABOVE Slow MA = BUY Signal (Green arrow below price) ❌ Death Cross = Fast MA crosses BELOW Slow MA = SELL Signal (Red arrow above price) 2. Support & Resistance Levels 🎯 Auto-detects pivot points using 5-bar lookback Dynamic S/R lines that update in real-time Dashed lines for easy visual identification Color-coded: 🟢 Green = Support levels 🔴 Red = Resistance levels 3. Built-in Alert System 🔔 Audio notifications when signals trigger Once per bar alert frequency (no spam) Can be disabled via settings
Pine Script®指標
由al4trazz提供
DAX Zonen Ergänzungen (Pro Signale + EMAs mit Filter RSI MACD)📊 DAX Zones Enhancements (Pro Signals + EMA with RSI & MACD Filter) Description: This indicator enhances DAX trading analysis by combining dynamic support/resistance zones with professional-level signal filters. It automatically detects potential buy and sell zones and confirms them using EMA trends, RSI conditions, and MACD momentum. Key features: 🔹 Visual display of DAX high- and low-price zones 🔹 EMA-based trend confirmation 🔹 RSI and MACD filters to reduce false signals 🔹 Customizable alerts when price interacts with key zones 🔹 Works on multiple timeframes Ideal for traders who want a clean, rule-based approach to identifying high-probability entries and exits on the DAX index.
Pine Script®指標
由dfce82提供
COT Index Indicator 1) One‑liner My version of the OTC COT Index indicator: a 0–120 oscillator built from CFTC COT data that shows where Commercial, Noncommercial, and Nonreportable net positions sit relative to recent extremes. 2) Short paragraph This is my version of the OTC COT Index indicator. It converts CFTC Commitments of Traders (COT) net positions into a normalized 0–120 oscillator for each trader group—Commercials, Noncommercials, and Nonreportables—so you can quickly see when positioning is near recent highs or lows. Data comes from TradingView’s official COT library and supports both “Futures Only” and “Futures and Options” reports. 3) Compact bullets What: My version of the OTC COT Index indicator Why: Quickly spot when trader groups are near positioning extremes Data: CFTC COT via TradingView/LibraryCOT/2; Futures Only or Futures & Options How: Index = 120 × (Current − Min) ÷ (Max − Min) over a configurable lookback Plots: Commercials (blue), Noncommercials (orange), Nonreportables (red) Lines: Overbought, Midline, Oversold, optional 0/100, upper/lower bounds Note: Values are relative to the chosen window; not trading advice 4) Publication‑ready (sections) Overview My version of the OTC COT Index indicator. It turns CFTC COT positioning into a 0–120 oscillator per trader group (Commercials, Noncommercials, Nonreportables) to highlight relative extremes. Data source CFTC Commitments of Traders via TradingView’s official library (TradingView/LibraryCOT/2). Supports “Futures Only” and “Futures and Options.” Method Net positions = Longs − Shorts. Index = 120 × (Current Net − Min(Net, Lookback)) ÷ (Max(Net, Lookback) − Min(Net, Lookback)). Inputs Weeks Look Back (normalization window) Weeks Look Back for Historical Hi/Los (longer reference) Report Type selection Visuals Three indexes by trader group, plus reference levels (OB/OS, Midline, optional 0/100). Notes Some symbols map to specific CFTC codes for reliability. If no relevant COT data exists for the symbol, the script reports it clearly. If you want this adapted to a specific platform’s character limits (e.g., TradingView’s publish dialog), tell me the target length and I’ll trim it to fit.
Pine Script®指標
由dragos_cocos_dev提供