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Recherche dans les scripts pour "黄金近50年的走势"

The Lazy Trader - Index (ETF) Trend Following Robot50/150 moving average, index (ETF) trend following robot. Coded for people who cannot psychologically handle dollar-cost-averaging through bear markets and extreme drawdowns (although DCA can produce better results eventually), this robot helps you to avoid bear markets. Be a fair-weathered friend of Mr Market, and only take up his offer when the sun is shining! Designed for the lazy trader who really doesn't care... Recommended Chart Settings: Asset Class: ETF Time Frame: Daily Necessary ETF Macro Conditions: a) Country must have healthy demographics, good ratio of young > old b) Country population must be increasing c) Country must be experiencing price-inflation Default Robot Settings: Slow Moving Average: 50 (integer) //adjust to suit your underlying index Fast Moving Average: 150 (integer) //adjust to suit your underlying index Bullish Slope Angle: 5 (degrees) //up angle of moving averages Bearish Slope Angle: -5 (degrees) //down angle of moving averages Average True Range: 14 (integer) //input for slope-angle formula Risk: 100 (%) //100% risk means using all equity per trade ETF Test Results (Default Settings): SPY (1993 to 2020, 27 years), 332% profit, 20 trades, 6.4 profit factor, 7% drawdown EWG (1996 to 2020, 24 years), 310% profit, 18 trades, 3.7 profit factor, 10% drawdown EWH (1996 to 2020, 24 years), 4% loss, 26 trades, 0.9 profit factor, 36% drawdown QQQ (1999 to 2020, 21 years), 232% profit, 17 trades, 3.6 profit factor, 2% drawdown EEM (2003 to 2020, 17 years), 73% profit, 17 trades, 1.1 profit factor, 3% drawdown GXC (2007 to 2020, 13 years), 18% profit, 14 trades, 1.3 profit factor, 26% drawdown BKF (2009 to 2020, 11 years), 11% profit, 13 trades, 1.2 profit factor, 33% drawdown A longer time in the markets is better, with the exception of EWH. 6 out of 7 tested ETFs were profitable, feel free to test on your favourite ETF (default settings) and comment below. Risk Warning: Not tested on commodities nor other financial products like currencies (code will not work), feel free to leave comments below. Moving Average Slope Angle Formula: Reproduced and modified from source:
Stratégie Pine Script®
par UnknownUnicorn1373033
3
50-Line Oscillator // (\_/) // ( •.•) // (")_(") 25-Line Oscillator Description: The 25-Line Oscillator is a sophisticated technical analysis tool designed to visualize market trends through the use of multiple Simple Moving Averages (SMAs). This indicator computes a series of 26 SMAs, incrementally increasing the base length, providing traders with a comprehensive view of price dynamics. Features: Customizable Base Length: Adjust the base length of the SMAs according to trading preferences, enhancing versatility for different market conditions. Rainbow Effect: The indicator employs a visually appealing rainbow color scheme to differentiate between the various trend lines, making it easy to identify crossovers and momentum shifts. Crossovers Detection: The script includes logic to detect crossover events between consecutive trend lines, which can serve as signals for potential entry or exit points in trading. Clear Visualization: Suitable for both novice and seasoned traders, the plots enable quick interpretation of trends and market behavior. How to Use: Add the indicator to your chart and customize the base length as desired. Observe the rainbow-colored lines for trend direction. Look for crossover events between the SMAs as potential trading signals. Application: This indicator is particularly useful for swing traders and trend followers who aim to capitalize on market momentum and identify reversals. By monitoring the behavior of multiple SMAs, traders can gain insights into the strength and direction of price movements over various time frames.
Indicateur Pine Script®
par FollowtheWhiteRabbitz
50/100/200 Moving Averages (Pine Script For Copy)by fresca SCRIPT LANGUAGE Copy script below and adjust based on your preferences. -function (change function from "sma" to "ema", "wma" and more) -length (25 Day, 150 Day or add more averages to the three in this script.) -color, (red, yellow, etc. or use color hex codes i.e. #FEDA15, #FFAD8F, etc.) -transparency (set to desired level 1-100) Or add more options. RESOURCES Color hex codes site: www.canva.com Trading View Pine Script Editor Reference Guide: www.tradingview.com
Indicateur Pine Script®
par manifresca
9
Liquidity Void Zone Detector [PhenLabs]📊 Liquidity Void Zone Detector Version: PineScript™v6 📌 Description The Liquidity Void Zone Detector is a sophisticated technical indicator designed to identify and visualize areas where price moved with abnormally low volume or rapid momentum, creating "voids" in market liquidity. These zones represent areas where insufficient trading activity occurred during price movement, often acting as magnets for future price action as the market seeks to fill these gaps. Built on PineScript v6, this indicator employs a dual-detection methodology that analyzes both volume depletion patterns and price movement intensity relative to ATR. The revolutionary 3D visualization system uses three-layer polyline rendering with adaptive transparency and vertical offsets, creating genuine depth perception where low liquidity zones visually recede and high liquidity zones protrude forward. This makes critical market structure immediately apparent without cluttering your chart. 🚀 Points of Innovation Dual detection algorithm combining volume threshold analysis and ATR-normalized price movement sensitivity for comprehensive void identification Three-layer 3D visualization system with progressive transparency gradients (85%, 78%, 70%) and calculated vertical offsets for authentic depth perception Intelligent state machine logic that tracks consecutive void bars and only renders zones meeting minimum qualification requirements Dynamic strength scoring system (0-100 scale) that combines inverted volume ratios with movement intensity for accurate void characterization Adaptive ATR-based spacing calculation that automatically adjusts 3D layering depth to match instrument volatility Efficient memory management system supporting up to 100 simultaneous void visualizations with automatic array-based cleanup 🔧 Core Components Volume Analysis Engine: Calculates rolling volume averages and compares current bar volume against dynamic thresholds to detect abnormally thin trading conditions Price Movement Analyzer: Normalizes bar range against ATR to identify rapid price movements that indicate liquidity exhaustion regardless of instrument or timeframe Void Tracking State Machine: Maintains persistent tracking of void start bars, price boundaries, consecutive bar counts, and cumulative strength across multiple bars 3D Polyline Renderer: Generates three-layer rectangular polylines with precise timestamp-to-bar index conversion and progressive offset calculations Strength Calculation System: Combines volume component (inverted ratio capped at 100) with movement component (ATR intensity × 30) for comprehensive void scoring 🔥 Key Features Automatic Void Detection: Continuously scans price action for low volume conditions or rapid movements, triggering void tracking when thresholds are exceeded Real-Time Visualization: Creates 3D rectangular zones spanning from void initiation to termination, with color-coded depth indicating liquidity type Adjustable Sensitivity: Configure volume threshold multiplier (0.1-2.0x), price movement sensitivity (0.5-5.0x), and minimum qualifying bars (1-10) for customized detection Dual Color Coding: Separate visual treatment for low liquidity voids (receding red) and high liquidity zones (protruding green) based on 50-point strength threshold Optional Compact Labels: Toggle LV (Low Volume) or HV (High Volume) circular labels at void centers for quick identification without visual clutter Lookback Period Control: Adjust analysis window from 5 to 100 bars to match your trading timeframe and market volatility characteristics Memory-Efficient Design: Automatically manages polyline and label arrays, deleting oldest elements when user-defined maximum is reached Data Window Integration: Plots void detection binary, current strength score, and average volume for detailed analysis in TradingView's data window 🎨 Visualization Three-Layer Depth System: Each void is rendered as three stacked polylines with progressive transparency (85%, 78%, 70%) and calculated vertical offsets creating authentic 3D appearance Directional Depth Perception: Low liquidity zones recede with back layer most transparent; high liquidity zones protrude with front layer most transparent for instant visual differentiation Adaptive Offset Spacing: Vertical separation between layers calculated as ATR(14) × 0.001, ensuring consistent 3D effect across different instruments and volatility regimes Color Customization: Fully configurable base colors for both low liquidity zones (default: red with 80 transparency) and high liquidity zones (default: green with 80 transparency) Minimal Chart Clutter: Closed polylines with matching line and fill colors create clean rectangular zones without unnecessary borders or visual noise Background Highlight: Subtle yellow background (96% transparency) marks bars where void conditions are actively detected in real-time Compact Labeling: Optional tiny circular labels with 60% transparent backgrounds positioned at void center points for quick reference 📖 Usage Guidelines Detection Settings Lookback Period: Default: 10 | Range: 5-100 | Number of bars analyzed for volume averaging and void detection. Lower values increase sensitivity to recent changes; higher values smooth detection across longer timeframes. Adjust based on your trading timeframe: short-term traders use 5-15, swing traders use 20-50, position traders use 50-100. Volume Threshold: Default: 1.0 | Range: 0.1-2.0 (step 0.1) | Multiplier applied to average volume. Bars with volume below (average × threshold) trigger void conditions. Lower values detect only extreme volume depletion; higher values capture more moderate low-volume situations. Start with 1.0 and decrease to 0.5-0.7 for stricter detection. Price Movement Sensitivity: Default: 1.5 | Range: 0.5-5.0 (step 0.1) | Multiplier for ATR-normalized price movement detection. Values above this threshold indicate rapid price changes suggesting liquidity voids. Increase to 2.0-3.0 for volatile instruments; decrease to 0.8-1.2 for ranging or low-volatility conditions. Minimum Void Bars: Default: 10 | Range: 1-10 | Minimum consecutive bars exhibiting void conditions required before visualization is created. Filters out brief anomalies and ensures only sustained voids are displayed. Use 1-3 for scalping, 5-10 for intraday trading, 10+ for swing trading to match your time horizon. Visual Settings Low Liquidity Color: Default: Red (80% transparent) | Base color for zones where volume depletion or rapid movement indicates thin liquidity. These zones recede visually (back layer most transparent). Choose colors that contrast with your chart theme for optimal visibility. High Liquidity Color: Default: Green (80% transparent) | Base color for zones with relatively higher liquidity compared to void threshold. These zones protrude visually (front layer most transparent). Ensure clear differentiation from low liquidity color. Show Void Labels: Default: True | Toggle display of compact LV/HV labels at void centers. Disable for cleaner charts when trading; enable for analysis and review to quickly identify void types across your chart. Max Visible Voids: Default: 50 | Range: 10-100 | Maximum number of void visualizations kept on chart. Each void uses 3 polylines, so setting of 50 maintains 150 total polylines. Higher values preserve more history but may impact performance on lower-end systems. ✅ Best Use Cases Gap Fill Trading: Identify unfilled liquidity voids that price frequently returns to, providing high-probability retest and reversal opportunities when price approaches these zones Breakout Validation: Distinguish genuine breakouts through established liquidity from false breaks into void zones that lack sustainable volume support Support/Resistance Confluence: Layer void detection over key horizontal levels to validate structural integrity—levels within high liquidity zones are stronger than those in voids Trend Continuation: Monitor for new void formation in trend direction as potential continuation zones where price may accelerate due to reduced resistance Range Trading: Identify void zones within consolidation ranges that price tends to traverse quickly, helping to avoid getting caught in rapid moves through thin areas Entry Timing: Wait for price to reach void boundaries rather than entering mid-void, as voids tend to be traversed quickly with limited profit-taking opportunities ⚠️ Limitations Historical Pattern Indicator: Identifies past liquidity voids but cannot predict whether price will return to fill them or when filling might occur No Volume on Forex: Indicator uses tick volume for forex pairs, which approximates but doesn't represent true trading volume, potentially affecting detection accuracy Lagging Confirmation: Requires minimum consecutive bars (default 10) before void is visualized, meaning detection occurs after void formation begins Trending Market Behavior: Strong trends driven by fundamental catalysts may create voids that remain unfilled for extended periods or permanently Timeframe Dependency: Detection sensitivity varies significantly across timeframes; settings optimized for one timeframe may not perform well on others No Directional Bias: Indicator identifies liquidity characteristics but provides no predictive signal for price direction after void detection Performance Considerations: Higher max visible void settings combined with small minimum void bars can generate numerous visualizations impacting chart rendering speed 💡 What Makes This Unique Industry-First 3D Visualization: Unlike flat volume or liquidity indicators, the three-layer rendering with directional depth perception provides instant visual hierarchy of liquidity quality Dual-Mode Detection: Combines both volume-based and movement-based detection methodologies, capturing voids that single-approach indicators miss Intelligent Qualification System: State machine logic prevents premature visualization by requiring sustained void conditions, reducing false signals and chart clutter ATR-Normalized Analysis: All detection thresholds adapt to instrument volatility, ensuring consistent performance across stocks, forex, crypto, and futures without constant recalibration Transparency-Based Depth: Uses progressive transparency gradients rather than colors or patterns to create depth, maintaining visual clarity while conveying information hierarchy Comprehensive Strength Metrics: 0-100 void strength calculation considers both the degree of volume depletion and the magnitude of price movement for nuanced zone characterization 🔬 How It Works Phase 1: Real-Time Detection On each bar close, the indicator calculates average volume over the lookback period and compares current bar volume against the volume threshold multiplier Simultaneously measures current bar's high-low range and normalizes it against ATR, comparing the result to price movement sensitivity parameter If either volume falls below threshold OR movement exceeds sensitivity threshold, the bar is flagged as exhibiting void characteristics Phase 2: Void Tracking & Qualification When void conditions first appear, state machine initializes tracking variables: start bar index, initial top/bottom prices, consecutive bar counter, and cumulative strength accumulator Each subsequent bar with void conditions extends the tracking, updating price boundaries to envelope all bars and accumulating strength scores When void conditions cease, system checks if consecutive bar count meets minimum threshold; if yes, proceeds to visualization; if no, discards the tracking and resets Phase 3: 3D Visualization Construction Calculates average void strength by dividing cumulative strength by number of bars, then determines if void is low liquidity (>50 strength) or high liquidity (≤50 strength) Generates three polyline layers spanning from start bar to end bar and from top price to bottom price, each with calculated vertical offset based on ATR Applies progressive transparency (85%, 78%, 70%) with layer ordering creating recession effect for low liquidity zones and protrusion effect for high liquidity zones Creates optional center label and pushes all visual elements into arrays for memory management Phase 4: Memory Management & Display Continuously monitors polyline array size (each void creates 3 polylines); when total exceeds max visible voids × 3, deletes oldest polylines via array.shift() Similarly manages label array, removing oldest labels when count exceeds maximum to prevent memory accumulation over extended chart history Plots diagnostic data to TradingView’s data window (void detection binary, current strength, average volume) for detailed analysis without cluttering main chart 💡 Note: This indicator is designed to enhance your market structure analysis by revealing liquidity characteristics that aren’t visible through standard price and volume displays. For best results, combine void detection with your existing support/resistance analysis, trend identification, and risk management framework. Liquidity voids are descriptive of past market behavior and should inform positioning decisions rather than serve as standalone entry/exit signals. Experiment with detection parameters across different timeframes to find settings that align with your trading style and instrument characteristics.
Indicateur Pine Script®
par PhenLabs
EMA Dynamic Crossover Detector with Real-Time Signal TableDescriptionWhat This Indicator Does:This indicator monitors all possible crossovers between four key exponential moving averages (20, 50, 100, and 200 periods) and displays them both visually on the chart and in an organized data table. Unlike standard EMA indicators that only plot the lines, this tool actively detects every crossover event, marks the exact crossover point with a circle, records the precise price level, and maintains a running log of all crossovers during the trading session. It's designed for traders who want comprehensive EMA crossover analysis without manually watching multiple moving average pairs.Key Features: Four Essential EMAs: Plots 20, 50, 100, and 200-period exponential moving averages with color-coded thin lines for clean chart presentation Complete Crossover Detection: Monitors all 6 possible EMA pair combinations (20×50, 20×100, 20×200, 50×100, 50×200, 100×200) in both directions Precise Price Marking: Places colored circles at the exact average price where crossovers occur (not just at candle close) Real-Time Signal Table: Displays up to 10 most recent crossovers with timestamp, direction, exact price, and signal type Session Filtering: Only records crossovers during active trading hours (10:00-18:00 Istanbul time) to avoid noise from low-liquidity periods Automatic Daily Reset: Clears the signal table at the start of each new trading day for fresh analysis Built-In Alerts: Two alert conditions (bullish and bearish crossovers) that can be configured to send notifications How It Works:The indicator calculates four exponential moving averages using the standard EMA formula, then continuously monitors for crossover events using Pine Script's ta.crossover() and ta.crossunder() functions:Bullish Crossovers (Green ▲): When a faster EMA crosses above a slower EMA, indicating potential upward momentum: 20 crosses above 50, 100, or 200 50 crosses above 100 or 200 100 crosses above 200 (Golden Cross when it's the 50×200) Bearish Crossovers (Red ▼): When a faster EMA crosses below a slower EMA, indicating potential downward momentum: 20 crosses below 50, 100, or 200 50 crosses below 100 or 200 100 crosses below 200 (Death Cross when it's the 50×200) Price Calculation: Instead of marking crossovers at the candle's close price (which might not be where the actual cross occurred), the indicator calculates the average price between the two crossing EMAs, providing a more accurate representation of the crossover point.Signal Table Structure:The table in the top-right corner displays four columns: Saat (Time): Exact time of crossover in HH:MM format Yön (Direction): Arrow indicator (▲ green for bullish, ▼ red for bearish) Fiyat (Price): Calculated average price at the crossover point Durum (Status): Signal classification ("ALIŞ" for buy signals, "SATIŞ" for sell signals) with color-coded background The table shows up to 10 most recent crossovers, automatically updating as new signals appear. If no crossovers have occurred during the session within the time filter, it displays "Henüz kesişim yok" (No crossovers yet).EMA Color Coding: EMA 20 (Aqua/Turquoise): Fastest-reacting, most sensitive to recent price changes EMA 50 (Green): Short-term trend indicator EMA 100 (Yellow): Medium-term trend indicator EMA 200 (Red): Long-term trend baseline, key support/resistance level How to Use:For Day Traders: Monitor 20×50 crossovers for quick entry/exit signals within the day Use the time filter (10:00-18:00) to focus on high-volume trading hours Check the signal table throughout the session to track momentum shifts Look for confirmation: if 20 crosses above 50 and price is above EMA 200, bullish bias is stronger For Swing Traders: Focus on 50×200 crossovers (Golden Cross/Death Cross) for major trend changes Use higher timeframes (4H, Daily) for more reliable signals Wait for price to close above/below the crossover point before entering Combine with support/resistance levels for better entry timing For Position Traders: Monitor 100×200 crossovers on daily/weekly charts for long-term trend changes Use as confirmation of major market shifts Don't react to every crossover—wait for sustained movement after the cross Consider multiple timeframe analysis (if crossovers align on weekly and daily, signal is stronger) Understanding EMA Hierarchies:The indicator becomes most powerful when you understand EMA relationships:Bullish Hierarchy (Strongest to Weakest): All EMAs ascending (20 > 50 > 100 > 200): Strong uptrend 20 crosses above 50 while both are above 200: Pullback ending in uptrend 50 crosses above 200 while 20/50 below: Early trend reversal signal Bearish Hierarchy (Strongest to Weakest): All EMAs descending (20 < 50 < 100 < 200): Strong downtrend 20 crosses below 50 while both are below 200: Rally ending in downtrend 50 crosses below 200 while 20/50 above: Early trend reversal signal Trading Strategy Examples:Pullback Entry Strategy: Identify major trend using EMA 200 (price above = uptrend, below = downtrend) Wait for pullback (20 crosses below 50 in uptrend, or above 50 in downtrend) Enter when 20 re-crosses 50 in the trend direction Place stop below/above the recent swing point Exit when 20 crosses 50 against the trend again Golden Cross/Death Cross Strategy: Wait for 50×200 crossover (appears in the signal table) Verify: Check if crossover occurs with increasing volume Entry: Enter in the direction of the cross after a pullback Stop: Place stop below/above the 200 EMA Target: Swing high/low or when opposite crossover occurs Multi-Crossover Confirmation: Watch for multiple crossovers in the same direction within a short period Example: 20×50 crossover followed by 20×100 = strengthening momentum Enter after the second confirmation crossover More crossovers = stronger signal but also means you're entering later Time Filter Benefits:The 10:00-18:00 Istanbul time filter prevents recording crossovers during: Pre-market volatility and gaps Low-volume overnight sessions (for 24-hour markets) After-hours erratic movements
Indicateur Pine Script®
par TraderDemircan_