Şimdi başlat

Göstergeler ve stratejiler

交易区本地时间This is a practical timezone display indicator designed specifically for forex and global market traders, showing real-time current times of three major financial centers in a clear table format at the top-right corner of the chart: Tokyo, New York, and London. ✨ Key Features 🗾 Tokyo Time - Asian trading session reference 🗽 New York Time - American trading session reference 🏛️ London Time - European trading session reference 📅 Complete Date & Time - Display format: MM-DD HH:MM 🔄 Automatic DST - Smart handling of daylight saving time transitions 🎨 Color Coding - Different colors for different timezone identification ⚡ Real-time Updates - Based on current timestamp, accurate with no delay 💼 Use Cases Forex Traders - Track major financial center opening/closing times Global Market Analysis - Understand market activity across different timezones News Trading - Master timing of important economic data releases Multi-timezone Coordination - Time management tool for international investors 这是一个专为外汇和全球市场交易者设计的实用时区显示指标，在图表右上角以清晰的表格形式实时显示三大主要金融中心的当前时间：东京、纽约和伦敦。 ✨ 主要功能 🗾 东京时间 - 亚洲交易时段参考 🗽 纽约时间 - 美洲交易时段参考 🏛️ 伦敦时间 - 欧洲交易时段参考 📅 完整日期时间 - 显示格式：MM-DD HH:MM 🔄 自动夏令时 - 智能处理冬令时/夏令时切换 🎨 色彩区分 - 不同颜色标识不同时区 ⚡ 实时更新 - 基于当前时间戳，准确无延迟 💼 适用场景 外汇交易者 - 把握各大金融中心开盘收盘时间 全球市场分析 - 了解不同时区的市场活跃度 新闻交易 - 掌握重要经济数据发布时间 多时区协调 - 国际投资者的时间管理工具
Pine Script® göstergesi
pvwb3121 tarafından
Marubozu Detector with Dynamic SL/TP Strategy Overview: This indicator detects a "Marubozu" bullish pattern or a “Marubozu” bearish pattern to suggest potential buy and sell opportunities. It uses dynamic Stop Loss (SL) and Take Profit (TP) management, based on either market volatility (ATR) or liquidity zones. This tool is intended for educational and informational purposes only. Key Features: Entry: Based on detecting Marubozu bullish or bearish candle pattern. Exit: Targets are managed through ATR multiples or previous liquidity levels (swing highs or swing lows). Smart Liquidity: Optionally identify deeper liquidity targets. Full Alerts: Buy and Sell signals supported with customizable alerts. Visualized Trades: Entry, SL, and TP levels are plotted on the chart. User Inputs: ATR Length, ATR Multipliers Take Profit Mode (Liquidity/ATR) Swing Lookback and Strength Toggleable Buy/Sell alerts All Time Frames 📖 How to Use: Add the Indicator: Apply the script to your chart from the TradingView indicators panel. Look for Buy Signals: A buy signal is triggered when the script detects a "Marubozu" bullish pattern. Entry, Stop Loss, and Take Profit levels are plotted automatically. Look for Sell Signals: A Sell signal is triggered when the script detects a "Marubozu" bearish pattern. Entry, Stop Loss, and Take Profit levels are plotted automatically. Choose Take Profit Mode: ATR Mode: TP is based on a volatility target. Liquidity Mode: TP is based on past swing highs. Set Alerts (Optional): Enable Buy/Sell alerts in the settings to receive real-time notifications. Practice First: Always backtest and paper trade before live use. 📜 Disclaimer: This script does not offer financial advice. No guarantees of profit or performance are made. Use in demo accounts or backtesting first. Always practice proper risk management and seek advice from licensed professionals if needed. ✅ Script Compliance: This script is designed in full accordance with TradingView’s House Rules for educational tools. No financial advice is provided, no performance is guaranteed, and users are encouraged to backtest thoroughly.
Pine Script® göstergesi
kochumonchettan tarafından
Trading Sessions with Holidays & Timer🌍 Trading Sessions Matter Markets breathe in cycles. When Tokyo, London, or New York steps in, liquidity shifts and price often reacts fast. Example: New York closed BTC at $110K, and when traders woke up, the price was already $113K. That gap says everything about overnight pressure and the next move. ⚡ Indicator Features ✅ Session boxes (Tokyo, London, NY) with custom colors & time zones ✅ Open/close lines → spot gaps & momentum ✅ Average price per session → see where pressure builds ✅ Tick range → quick volatility check ✅ 🏖 Holiday markers → avoid false quiet markets ✅ Live status table → session OPEN / CLOSED + countdown timer 🚀 How to Use Works on intraday timeframes (1m–4h) Watch session opens/closes → liquidity shift points Compare ranges & averages between Tokyo, London, NY Use the timer to prep before the next wave This tool helps you visualize the heartbeat of global markets session by session. 🔖 #BTCUSDT #Forex #TradingSessions #Crypto #DayTrading
Pine Script® göstergesi
HamadaMark tarafından
2
Savitzky-Golay Hampel Filter | AlphaNattSavitzky-Golay Hampel Filter | AlphaNatt A revolutionary indicator combining NASA's satellite data processing algorithms with robust statistical outlier detection to create the most scientifically advanced trend filter available on TradingView. "This is the same mathematics that processes signals from the Hubble Space Telescope and analyzes data from the Large Hadron Collider - now applied to financial markets." ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🚀 SCIENTIFIC PEDIGREE Savitzky-Golay Filter Applications: NASA: Satellite telemetry and space probe data processing CERN: Particle physics data analysis at the LHC Pharmaceutical: Chromatography and spectroscopy analysis Astronomy: Processing signals from radio telescopes Medical: ECG and EEG signal processing Hampel Filter Usage: Aerospace: Cleaning sensor data from aircraft and spacecraft Manufacturing: Quality control in precision engineering Seismology: Earthquake detection and analysis Robotics: Sensor fusion and noise reduction ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🧬 THE MATHEMATICS 1. Savitzky-Golay Filter The SG filter performs local polynomial regression on data points: Fits a polynomial of degree n to a sliding window of data Evaluates the polynomial at the center point Preserves higher moments (peaks, valleys) unlike moving averages Maintains derivative information for true momentum analysis Originally published in Analytical Chemistry (1964) Mathematical Properties: Optimal smoothing in the least-squares sense Preserves statistical moments up to polynomial order Exact derivative calculation without additional lag Superior frequency response vs traditional filters 2. Hampel Filter A robust outlier detector based on Median Absolute Deviation (MAD): Identifies outliers using robust statistics Replaces spurious values with polynomial-fitted estimates Resistant to up to 50% contaminated data MAD is 1.4826 times more robust than standard deviation Outlier Detection Formula: |x - median| > k × 1.4826 × MAD Where k is the threshold parameter (typically 3 for 99.7% confidence) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 💎 WHY THIS IS SUPERIOR vs Moving Averages: Preserves peaks and valleys (critical for catching tops/bottoms) No lag penalty for smoothness Maintains derivative information Polynomial fitting > simple averaging vs Other Filters: Outlier immunity (Hampel component) Scientifically optimal smoothing Preserves higher-order features Used in billion-dollar research projects Unique Advantages: Feature Preservation: Maintains market structure while smoothing Spike Immunity: Ignores false breakouts and stop hunts Derivative Accuracy: True momentum without additional indicators Scientific Validation: 60+ years of academic research ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚙️ PARAMETER OPTIMIZATION 1. Polynomial Order (2-5) 2 (Quadratic): Maximum smoothing, gentle curves 3 (Cubic): Balanced smoothing and responsiveness (recommended) 4-5 (Higher): More responsive, preserves more features 2. Window Size (7-51) Must be odd number Larger = smoother but more lag Formula: 2×(desired smoothing period) + 1 Default 21 = analyzes 10 bars each side 3. Hampel Threshold (1.0-5.0) 1.0: Aggressive outlier removal (68% confidence) 2.0: Moderate outlier removal (95% confidence) 3.0: Conservative outlier removal (99.7% confidence) (default) 4.0+: Only extreme outliers removed 4. Final Smoothing (1-7) Additional WMA smoothing after filtering 1 = No additional smoothing 3-5 = Recommended for most timeframes 7 = Ultra-smooth for position trading ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📊 TRADING STRATEGIES Signal Recognition: Cyan Line: Bullish trend with positive derivative Pink Line: Bearish trend with negative derivative Color Change: Trend reversal with polynomial confirmation 1. Trend Following Strategy Enter when price crosses above cyan filter Exit when filter turns pink Use filter as dynamic stop loss Best in trending markets 2. Mean Reversion Strategy Enter long when price touches filter from below in uptrend Enter short when price touches filter from above in downtrend Exit at opposite band or filter color change Excellent for range-bound markets 3. Derivative Strategy (Advanced) The SG filter preserves derivative information Acceleration = second derivative > 0 Enter on positive first derivative + positive acceleration Exit on negative second derivative (momentum slowing) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📈 PERFORMANCE CHARACTERISTICS Strengths: Outlier Immunity: Ignores stop hunts and flash crashes Feature Preservation: Catches tops/bottoms better than MAs Smooth Output: Reduces whipsaws significantly Scientific Basis: Not curve-fitted or optimized to markets Considerations: Slight lag in extreme volatility (all filters have this) Requires odd window sizes (mathematical requirement) More complex than simple moving averages Best with liquid instruments ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🔬 SCIENTIFIC BACKGROUND Savitzky-Golay Publication: "Smoothing and Differentiation of Data by Simplified Least Squares Procedures" - Abraham Savitzky & Marcel Golay - Analytical Chemistry, Vol. 36, No. 8, 1964 Hampel Filter Origin: "Robust Statistics: The Approach Based on Influence Functions" - Frank Hampel et al., 1986 - Princeton University Press These techniques have been validated in thousands of scientific papers and are standard tools in: NASA's Jet Propulsion Laboratory European Space Agency CERN (Large Hadron Collider) MIT Lincoln Laboratory Max Planck Institutes ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 💡 ADVANCED TIPS News Trading: Lower Hampel threshold before major events to catch spikes Scalping: Use Order=2 for maximum smoothness, Window=11 for responsiveness Position Trading: Increase Window to 31+ for long-term trends Combine with Volume: Strong trends need volume confirmation Multiple Timeframes: Use daily for trend, hourly for entry Watch the Derivative: Filter color changes when first derivative changes sign ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚠️ IMPORTANT NOTICES Not financial advice - educational purposes only Past performance does not guarantee future results Always use proper risk management Test settings on your specific instrument and timeframe No indicator is perfect - part of complete trading system ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🏆 CONCLUSION The Savitzky-Golay Hampel Filter represents the pinnacle of scientific signal processing applied to financial markets. By combining polynomial regression with robust outlier detection, traders gain access to the same mathematical tools that: Guide spacecraft to other planets Detect gravitational waves from black holes Analyze particle collisions at near light-speed Process signals from deep space This isn't just another indicator - it's rocket science for trading . "When NASA needs to separate signal from noise in billion-dollar missions, they use these exact algorithms. Now you can too." ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Developed by AlphaNatt Version: 1.0 Release: 2025 Pine Script: v6 "Where Space Technology Meets Market Analysis" Not financial advice. Always DYOR
Pine Script® göstergesi
AlphaNatt tarafından
1
PCV (Darren.L-V2)Description: This indicator combines Bollinger Bands, CCI, and RVI to help identify high-probability zones on M15 charts. Features: Bollinger Bands (BB) – displayed on the main chart in light gray. Helps visualize overbought and oversold price levels. CCI ±100 levels + RVI – displayed in a separate sub-window: CCI only shows the ±100 reference lines. RVI displays a cyan main line and a red signal line. Valid Zone Detection: Candle closes outside the Bollinger Bands. RVI crosses above +100 or below -100 (CCI level reference). Candle closes back inside the BB, confirming a price rebound. Requires two touches in the same direction to confirm the zone. Only zones within 20–30 pips range are considered valid. Usage: Helps traders spot reversal or bounce zones with clear visual signals. Suitable for all indices, Forex, and crypto on M15 timeframe.
Pine Script® göstergesi
lawwaikean tarafından
Trend Score HTF (Raw Data) Pine Screener📘 Trend Score HTF (Raw Data) Pine Screener — Indicator Guide This indicator tracks price action using a custom cumulative Trend Score (TS) system. It helps you visualize trend momentum, detect early reversals, confirm direction changes, and screen for entries across large watchlists like SPX500 using TradingView’s Pine Script Screener (beta). ⸻ 🔧 What This Indicator Does • Assigns a +1 or -1 score when price breaks the previous high or low • Accumulates these scores into a real-time tsScore • Detects early warnings (primed flips) and trend changes (confirmed flips) • Supports alerts and labels for visual and automated trading • Designed to work inside the Pine Screener so you can filter hundreds of tickers live ⸻ ⚙️ Recommended Settings (for Beginners) When adding the indicator to your chart: Go to the “Inputs” tab at the top of the settings panel. Then: • Uncheck “Confirm flips on bar close” • Check “Accumulate TS Across Flips? (ON = non-reset, OFF = reset)” This setup allows you to see trend changes immediately without waiting for bar closes and lets the trend score build continuously over time, making it easier to follow long trends. ⸻ 🧠 Core Logic Start Date Select a meaningful historical start date — for example: 2020-01-01. This provides long-term context for trend score calculation. Per-Bar Delta (Δ) Calculation The indicator scores each bar based on breakout behavior: If the bar breaks only the previous high, Δ = +1 If it breaks only the previous low, Δ = -1 If it breaks both the high and low, Δ = 0 If it breaks neither, Δ = 0 This filters out wide-range or indecisive candles during volatility. Cumulative Trend Score Each bar’s delta is added to the running tsScore. When it rises, bullish pressure is building. When it falls, bearish pressure is increasing. Trend Flip Logic A bullish flip happens when tsScore rises by +3 from the lowest recent point. A bearish flip happens when tsScore falls by -3 from the highest recent point. These flips update the active trend direction between bullish and bearish. ⸻ ⚠️ What Is a “Primed” Flip? A primed flip is a signal that the current trend is about to flip — just one point away. A primed bullish flip means the trend is currently bearish, but the tsScore only needs +1 more to flip. If the next bar breaks the previous high (without breaking the low), it will trigger a bullish flip. A primed bearish flip means the trend is currently bullish, but the tsScore only needs -1 more to flip. If the next bar breaks the previous low (without breaking the high), it will trigger a bearish flip. Primed flips are plotted one bar ahead of the current bar. They act like forecasts and give you a head start. ⸻ ✅ What Is a “Confirmed” Flip? A confirmed flip is the first bar of a new trend direction. A confirmed bullish flip appears when a bearish trend officially flips into a new bullish trend. A confirmed bearish flip appears when a bullish trend officially flips into a new bearish trend. These signals are reliable and great for entries, trend filters, or reversals. ⸻ 🖼 Visual Cues The trend score (tsScore) line shows the accumulated trend strength. A Δ histogram shows the daily price contribution: +1 for breaking highs, -1 for breaking lows, 0 otherwise. A green background means the chart is in a bullish trend. A red background means the chart is in a bearish trend. A ⬆ label signals a primed bullish flip is possible on the next bar. A ⬇ label signals a primed bearish flip is possible on the next bar. A ✅ means a bullish flip just confirmed. A ❌ means a bearish flip just confirmed. ⸻ 🔔 Alerts You Can Use The indicator includes these built-in alerts: • Primed Bullish Flip — watch for possible bullish reversal tomorrow • Primed Bearish Flip — watch for possible bearish reversal tomorrow • Bullish Confirmed — official entry into new uptrend • Bearish Confirmed — official entry into new downtrend You can set these alerts in TradingView to monitor across your chart or watchlist. ⸻ 📈 How to Use in TradingView Pine Screener Step 1: Create your own watchlist — for example, SPX500 Step 2: Favorite this indicator so it shows up in the screener Step 3: Go to TradingView → Products → Screeners → Pine (Beta) Step 4: Select this indicator and choose a condition, like “Bullish Confirmed” Step 5: Click Scan You’ll instantly see stocks that just flipped trends or are close to doing so. ⸻ ⏰ When to Use the Screener Use this screener after market close or before the next open to avoid intraday noise. During the day, if a candle breaks both the high and low, the delta becomes 0, which may cancel a flip or primed signal. Results during regular trading hours can change frequently. For best results, scan during stable periods like pre-market or after-hours. ⸻ 🧪 Real-World Examples SWK NVR WMT UNH Each of these examples shows clean, structured trend transitions detected in advance or confirmed with precision. PLTR: complicated case primed for bullish (but we don't when it will flip) ⚠️ Risk Disclaimer & Trend Context A confirmed bullish signal does not guarantee an immediate price increase. Price may continue to consolidate or even pull back after a bullish flip. Likewise, a primed bullish signal does not always lead to confirmation. It simply means the conditions are close — but if the next bar breaks both the high and low, or breaks only the low, the flip will be canceled. On the other side, a confirmed bearish signal does not mean the market will crash. If the overall trend is bullish (for example, tsScore has been rising for weeks), then a bearish flip may just represent a short-term pullback — not a trend reversal. You always need to consider the overall market structure. If the long-term trend is bullish, it’s usually smarter to wait for bullish confirmation signals. Bearish flips in that context are often just dips — not opportunities to short. This indicator gives you context, not predictions. It’s a tool for alignment — not absolute outcomes. Use it to follow structure, not fight it.
Pine Script® göstergesi
DeLeBlanc tarafından
Sniper Swing — Short TF (Clean Signals) [v6]📘 How to Use the Sniper Swing Indicator 1. What It Does It looks for short-term swing breaks in price. It uses an oscillator (RSI/Stoch) and swing pivots to confirm moves. It gives you 3 clear signals only: BUY → Enter long (expecting price to go up). Gay bear → Enter short (expecting price to go down). EXIT → Close your trade (long or short). Candles also change color: Green = in a BUY trade. Red = in a Gay bear trade. Neutral (gray/none) = no trade. 2. When to Use Works best on short timeframes (1m–5m) for scalping/intraday. Use on liquid markets (MES/ES, NQ, SPY, BTC, ETH). Avoid dead hours with no volume (like overnight futures lull or midday chop). 3. How to Trade With It A. BUY trade Wait for a BUY triangle below the candle. Confirm: Candle turned green. Price broke a recent swing high. Oscillator shows strength (indicator does this for you). Enter long at the close of that candle. Place your stop-loss: At the yellow stop line (auto trailing stop), or Just below the last swing low. Stay in while candles are green. Exit when: An orange X appears, or Price hits your stop. B. Gay bear (short) trade Wait for a Gay bear triangle above the candle. Confirm: Candle turned red. Price broke a recent swing low. Oscillator shows weakness. Enter short at the close of that candle. Place stop-loss: At the yellow stop line, or Just above the last swing high. Stay in while candles are red. Exit on an orange X or stop hit. 4. Pro Tips for New Traders Only take one signal at a time → don’t double dip. Quality > Quantity: ignore weak, sideways markets. Best signals happen during trends. Start small: trade micros (MES) or small position sizes. Use alerts: set TradingView alerts for BUY/Gay bear/EXIT so you don’t miss setups. Think of the indicator like a navigator: it tells you the likely path, but you’re the driver → always manage risk. 5. Quick Mental Checklist Signal? (BUY or Gay bear triangle) Confirmed? (candle color + swing break) Enter? (on close) Stop? (yellow line or swing) Exit? (orange X or stop)
Pine Script® göstergesi
Jmathe20 tarafından
Laguerre-Kalman Adaptive Filter | AlphaNattLaguerre-Kalman Adaptive Filter |AlphaNatt A sophisticated trend-following indicator that combines Laguerre polynomial filtering with Kalman optimal estimation to create an ultra-smooth, low-lag trend line with exceptional noise reduction capabilities. "The perfect trend line adapts to market conditions while filtering out noise - this indicator achieves both through advanced mathematical techniques rarely seen in retail trading." ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🎯 KEY FEATURES Dual-Filter Architecture: Combines two powerful filtering methods for superior performance Adaptive Volatility Adjustment: Automatically adapts to market conditions Minimal Lag: Laguerre polynomials provide faster response than traditional moving averages Optimal Noise Reduction: Kalman filtering removes market noise while preserving trend Clean Visual Design: Color-coded trend visualization (cyan/pink) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📊 THE MATHEMATICS 1. Laguerre Filter Component The Laguerre filter uses a cascade of four all-pass filters with a single gamma parameter: 4th order IIR (Infinite Impulse Response) filter Single parameter (gamma) controls all filter characteristics Provides smoother output than EMA with similar lag Based on Laguerre polynomials from quantum mechanics 2. Kalman Filter Component Implements a simplified Kalman filter for optimal estimation: Prediction-correction algorithm from aerospace engineering Dynamically adjusts based on estimation error Provides mathematically optimal estimate of true price trend Reduces noise while maintaining responsiveness 3. Adaptive Mechanism Monitors market volatility in real-time Adjusts filter parameters based on current conditions More responsive in trending markets More stable in ranging markets ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚙️ INDICATOR SETTINGS Laguerre Gamma (0.1-0.99): Controls filter smoothness. Higher = smoother but more lag Adaptive Period (5-100): Lookback for volatility calculation Kalman Noise Reduction (0.1-2.0): Higher = more noise filtering Trend Threshold (0.0001-0.01): Minimum change to register trend shift Recommended Settings: Scalping: Gamma: 0.6, Period: 10, Noise: 0.3 Day Trading: Gamma: 0.8, Period: 20, Noise: 0.5 (default) Swing Trading: Gamma: 0.9, Period: 30, Noise: 0.8 Position Trading: Gamma: 0.95, Period: 50, Noise: 1.2 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📈 TRADING SIGNALS Primary Signals: Cyan Line: Bullish trend - price above filter and filter ascending Pink Line: Bearish trend - price below filter or filter descending Color Change: Potential trend reversal point Entry Strategies: Trend Continuation: Enter on pullback to filter line in trending market Trend Reversal: Enter on color change with volume confirmation Breakout: Enter when price crosses filter with momentum Exit Strategies: Exit long when line turns from cyan to pink Exit short when line turns from pink to cyan Use filter as trailing stop in strong trends ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ✨ ADVANTAGES OVER TRADITIONAL INDICATORS Vs. Moving Averages: Significantly less lag while maintaining smoothness Adaptive to market conditions Better noise filtering Vs. Standard Filters: Dual-filter approach provides optimal estimation Mathematical foundation from signal processing Self-adjusting parameters Vs. Other Trend Indicators: Cleaner signals with fewer whipsaws Works across all timeframes No repainting or lookahead bias ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🎓 MATHEMATICAL BACKGROUND The Laguerre filter was developed by John Ehlers, applying Laguerre polynomials (used in quantum mechanics) to financial markets. These polynomials provide an elegant solution to the lag-smoothness tradeoff that plagues traditional moving averages. The Kalman filter, developed by Rudolf Kalman in 1960, is used in everything from GPS systems to spacecraft navigation. It provides the mathematically optimal estimate of a system's state given noisy measurements. By combining these two approaches, this indicator achieves what neither can alone: a smooth, responsive trend line that adapts to market conditions while filtering out noise. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 💡 TIPS FOR BEST RESULTS Confirm with Volume: Strong trends should have increasing volume Multiple Timeframes: Use higher timeframe for trend, lower for entry Combine with Momentum: RSI or MACD can confirm filter signals Market Conditions: Adjust noise parameter based on market volatility Backtesting: Always test settings on your specific instrument ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚠️ IMPORTANT NOTES No indicator is perfect - always use proper risk management Best suited for trending markets May produce false signals in choppy/ranging conditions Not financial advice - for educational purposes only ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🚀 CONCLUSION The Laguerre-Kalman Adaptive Filter represents a significant advancement in technical analysis, bringing institutional-grade mathematical techniques to retail traders. Its unique combination of polynomial filtering and optimal estimation provides a clean, reliable trend-following tool that adapts to changing market conditions. Whether you're scalping on the 1-minute chart or position trading on the daily, this indicator provides clear, actionable signals with minimal false positives. "In the world of technical analysis, the edge comes from using better mathematics. This indicator delivers that edge." ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Developed by AlphaNatt | Professional Quantitative Trading Tools Version: 1.0 Last Updated: 2025 Pine Script: v6 License: Open Source Not financial advice. Always DYOR
Pine Script® göstergesi
AlphaNatt tarafından
2
EMA Cross Suite (8/20/50/200) GOLDEN/DEATH by Carlos Chavez📜 Short Description (max 160 characters) “Advanced EMA crossover system with FAST, MID, GOLDEN, and DEATH signals. Includes alerts, optimized visuals, and full customization.” 📄 Full Description (Paste in the box) 📌 Overview The Embilletados • EMA Cross Suite is a professional trading indicator designed for intraday traders, scalpers, and swing traders. It provides clear crossover signals using 4 EMAs combined with optimized visualization and built-in alerts to help you catch opportunities faster. ✨ Key Features: 🔹 4 configurable EMAs → 8, 20, 50, and 200. 🔹 Instant visual signals with colored labels: FAST CROSS (8/20) → Quick momentum shifts. MID CROSS (20/50) → Trend confirmation signals. GOLDEN CROSS (50/200) → Strong bullish trend signals. DEATH CROSS (50/200) → Strong bearish trend signals. 🔹 Built-in alerts → Get notified instantly for all crossover events. 🔹 Optimized visualization → Clean and easy-to-read interface. 🔹 Highly customizable → Enable/disable signals, labels, colors, and alerts according to your strategy. 📊 Recommended Timeframes: 10-minute charts → Best for intraday setups. 1-hour charts → Ideal for swing trading and trend confirmation. 🚀 How to Use: Add the indicator to your chart. Set up alerts for the desired crossovers: FAST, MID, GOLDEN, or DEATH. Trade confidently using clear visual confirmations and real-time notifications. 🌟 Perfect for: ✅ Intraday traders ✅ Scalpers ✅ Swing traders ✅ Trend-following strategies
Pine Script® göstergesi
Carlostradercr tarafından
7
Greer Gap# Greer Gap Indicator (No mitigation: i.e. removing false signals) ## Summary The **Greer Gap Indicator** identifies **Fair Value Gaps (FVGs)** and introduces specialized **Greer Bull Gaps (Blue)** and **Greer Bear Gaps (Orange)** to highlight high-probability trading opportunities. Unlike traditional FVG indicators, it avoids hindsight bias by not removing historical gaps based on future price action, ensuring transparency in signal accuracy. Built upon LuxAlgo’s FVG logic, it adds unique filtering: only the first Greer Gap after an opposite gap is plotted if its level (min for Bull, max for Bear) is not higher/lower than the previous Greer Gap of the same type, while all valid gaps are recorded for comparison. Traders can use these gaps as support/resistance or entry signals, customizable via timeframe, look back, and display options. ## Description This indicator detects and displays **Fair Value Gaps (FVGs)** on the chart, with a focus on specialized **Greer Gaps**: - **Bullish Gaps (Green)**: Areas where the low of the current candle is above the high of a previous candle (look back period), indicating potential upward momentum. - **Bearish Gaps (Red)**: Areas where the high of the current candle is below the low of a previous candle, indicating potential downward momentum. - **Greer Bull Gaps (Blue)**: A bullish gap that is above the latest bearish gap's max. Only the first such gap after a bearish gap is plotted if it meets criteria (not higher than the previous Greer Bull Gap's min), but all valid ones are recorded for comparison. - **Greer Bear Gaps (Orange)**: A bearish gap that is below the latest bullish gap's min. Only the first such gap after a bullish gap is plotted if it meets criteria (not lower than the previous Greer Bear Gap's max), but all valid ones are recorded. ## How It Works The script uses a dynamic look back period to detect FVGs. It maintains a record of all detected gaps and applies additional logic for Greer Gaps: - **Greer Bull Gaps**: Checks if the new bullish gap's min is above the latest bearish gap's max. Plots only if it's the first since the last bearish gap and its min is <= previous Greer Bull min (or first one). - **Greer Bear Gaps**: Checks if the new bearish gap's max is below the latest bullish gap's min. Plots only if it's the first since the last bullish gap and its max is >= previous Greer Bear max (or first one). - **Resets**: A new bearish gap resets the Greer Bull Gap flag, and a new bullish gap resets the Greer Bear Gap flag. ## How to Use - **Timeframe**: Set a higher timeframe (e.g., 'D' for daily) to detect gaps from that timeframe on the current chart. - **Look back Period**: Adjust to change gap detection sensitivity (default: 34). Use 2 if you want to compare to LuxAlgo - **Extend**: Controls how far right the gap boxes extend. - **Show Options**: Toggle visibility of all bullish/bearish gaps or Greer Gaps. - **Colors**: Customize colors for each gap type. - **Application**: Use Greer Gaps as potential support/resistance levels or entry signals, but combine with other analysis for confirmation. ## Originality and Credits This script is inspired by and builds upon the **"Fair Value Gap "** indicator by LuxAlgo (available on TradingView: ()). **Credits**: Thanks to LuxAlgo for the core FVG detection logic. **Significant Changes**: - Added **Greer Bull and Bear Gap** logic for filtered, directional gaps with reset mechanisms. - Introduced recording of all valid Greer Gaps without plotting all, to compare levels without hindsight bias. - **No mitigation/removal of gaps**: Unlike LuxAlgo's approach, which mitigates (removes or alters) gaps based on future price action (e.g., when filled), this can create a hindsight bias where incorrect signals disappear over time. If a signal is used for a trade and later removed due to new data, it doesn't reflect real-time performance accurately. The Greer Gap avoids this by using gap comparisons to validate signals without altering historical boxes, ensuring transparency in when signals were right or wrong.
Pine Script® göstergesi
controllinghand tarafından
PumpC ATR Line LevelsPumpC ATR Line Levels Overview PumpC ATR Line Levels is a volatility-based indicator that projects potential expansion levels from the previous session’s close using the Average True Range (ATR). This tool builds upon the Previous OHLC framework created by Nephew_Sam_ by extending its session-handling logic and adding ATR-based levels, statistical tracking, and flexible visualization options. How It Works Calculates ATR from a user-selectable higher timeframe (default: Daily). Projects levels above and below the previous session’s close (or current close when preview mode is enabled). Supports up to 5 ATR multiples, each with independent toggles, colors, and labels. Optionally displays only the most recent ATR session for clarity. Includes a data table tracking how often ATR levels are reached or closed beyond. Features Configurable ATR timeframe and length (default: 21). Default multiples: 0.30, 0.60, 0.90; optional: 1.236, 2.00. Toggle for preview mode (using current close vs. locked prior session close). Customizable line style, width, colors, and label placement. Visibility filter to show only on chart TF ≤ 60 minutes. Session statistics table with counts and percentages of level interactions. Use Cases Identify intraday expansion targets or stop placement zones based on volatility. Evaluate historical tendencies of price respecting or breaking ATR bands. Support volatility-adjusted trade planning with statistical validation. Acknowledgment This script was developed on top of the Previous OHLC indicator by Nephew_Sam_ , with major modifications to implement ATR-driven levels, extended statistics, and customizable table output. Notes This indicator does not generate buy/sell signals. Best applied to intraday charts anchored to a higher-timeframe ATR. Keep charts clean and avoid non-standard bar types when publishing.
Pine Script® göstergesi
PumpCTrader tarafından
Fisher //@version=5 indicator("Fisher + EMA + Histogram (Working)", overlay=false) // Inputs fLen = input.int(125, "Fisher Length") emaLen = input.int(21, "EMA Length") src = input.source(close, "Source") // Fisher Transform var float x = na minL = ta.lowest(src, fLen) maxH = ta.highest(src, fLen) rng = maxH - minL val = rng != 0 ? (src - minL) / rng : 0.5 x := 0.33 * 2 * (val - 0.5) + 0.67 * nz(x ) x := math.max(math.min(x, 0.999), -0.999) fish = 0.5 * math.log((1 + x) / (1 - x)) // EMA of Fisher fishEma = ta.ema(fish, emaLen) // Histogram hist = fish - fishEma histColor = hist >= 0 ? color.new(color.lime, 50) : color.new(color.red, 50) plot(hist, style=plot.style_histogram, color=histColor, title="Histogram") // Fisher Plot fishColor = fish > 2 ? color.red : fish < -2 ? color.lime : color.teal plot(fish, "Fisher", color=fishColor, linewidth=2) plot(fishEma, "Fisher EMA", color=color.orange, linewidth=2) // Horizontal Lines hline(2, "Upper Extreme", color=color.new(color.red, 70)) hline(-2, "Lower Extreme", color=color.new(color.green, 70)) hline(0, "Zero", color=color.gray) // Cross Signals bull = ta.crossover(fish, fishEma) bear = ta.crossunder(fish, fishEma) plotshape(bull, style=shape.triangleup, location=location.bottom, color=color.lime, size=size.tiny) plotshape(bear, style=shape.triangledown, location=location.top, color=color.red, size=size.tiny) // Background for extremes bgcolor(fish > 2 ? color.new(color.red, 80) : fish < -2 ? color.new(color.green, 80) : na)
Pine Script® göstergesi
luisbolanos521 tarafından
Playbook//@version=6 indicator('Playbook', overlay = true, scale = scale.right) // === Inputs === useYesterdayPOC = input.bool(true, 'Use Yesterday\'s POC (else Today’s Developing)') atrLength = input.int(14, 'ATR Length', minval = 1) stretchMult = input.float(1.5, 'Stretch Threshold (in ATRs)', minval = 0.1, step = 0.1) showBands = input.bool(true, "Show Stretch Bands") useAnchoredVWAP = input.bool(true, "Show Anchored VWAP") anchorDate = input.time(timestamp("01 Jan 2023 00:00 +0000"), "VWAP Anchor Date") // === ATR === atr = ta.atr(atrLength) isNewDay = ta.change(time('D')) != 0 // === VWAP as POC Approximation === todayVWAP = ta.vwap var float yVWAP = na if isNewDay yVWAP := todayVWAP activePOC = useYesterdayPOC and not na(yVWAP) ? yVWAP : todayVWAP // === Stretch Bands === upperBand = activePOC + atr * stretchMult lowerBand = activePOC - atr * stretchMult // Plot stretch bands pocColor = color.yellow bandFill = plot(upperBand, "Upper Band", color=color.red, linewidth=1, display=showBands ? display.all : display.none) bandFill2 = plot(lowerBand, "Lower Band", color=color.green, linewidth=1, display=showBands ? display.all : display.none) pocLine = plot(activePOC, "POC Target", color=pocColor, linewidth=2) fill(bandFill, bandFill2, color=color.new(color.gray, 90)) // === Anchored VWAP === anchoredVWAP = ta.vwap(ta.change(time) >= anchorDate ? close : na) plot(useAnchoredVWAP ? anchoredVWAP : na, "Anchored VWAP", color=color.blue, linewidth=2) // === STATUS TABLE === var table statusTable = table.new(position.bottom_right, 1, 1, border_width=1, border_color=color.gray) insideBands = close <= upperBand and close >= lowerBand statusText = insideBands ? "WAIT" : "TRADE AVAILABLE" statusColor = insideBands ? color.orange : color.green table.cell(statusTable, 0, 0, statusText, text_color=color.rgb(5, 4, 4), bgcolor=statusColor) // === Heatmap === bgcolor(close > upperBand ? color.new(color.red, 80) : close < lowerBand ? color.new(color.green, 80) : color.new(color.orange, 90))
Pine Script® göstergesi
luisbolanos521 tarafından