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Daily Seasonality Strength + Prediction TableDaily Seasonality Strength + Prediction Table Return Estimates: This indicator uses historical price data to calculate average returns for each day (of the week or month) and uses these to predict the next day’s return. Seasonality Strength: It measures seasonality strength by comparing predicted returns with actual returns, using the inverse of MSE (higher values mean stronger seasonality). supports up to 10 assets This script is for informational and educational purposes only. It does not constitute financial, investment, or trading advice. I am not a financial advisor. Any decisions you make based on this indicator are your own responsibility. Always do your own research and consult with a qualified financial professional before making any investment decisions. Past performance is no guarantee of future results. The value of the instruments may fluctuate and is not guaranteed
Pine Script®指標
由Hutmacher42提供
Volume Profile Grid [Alpha Extract]A sophisticated volume distribution analysis system that transforms market activity into institutional-grade visual profiles, revealing hidden support/resistance zones and market participant behavior. Utilizing advanced price level segmentation, bullish/bearish volume separation, and dynamic range analysis, the Volume Profile Grid delivers comprehensive market structure insights with Point of Control (POC) identification, Value Area boundaries, and volume delta analysis. The system features intelligent visualization modes, real-time sentiment analysis, and flexible range selection to provide traders with clear, actionable volume-based market context. 🔶 Dynamic Range Analysis Engine Implements dual-mode range selection with visible chart analysis and fixed period lookback, automatically adjusting to current market view or analyzing specified historical periods. The system intelligently calculates optimal bar counts while maintaining performance through configurable maximum limits, ensuring responsive profile generation across all timeframes with institutional-grade precision. // Dynamic period calculation with intelligent caching get_analysis_period() => if i_use_visible_range chart_start_time = chart.left_visible_bar_time current_time = last_bar_time time_span = current_time - chart_start_time tf_seconds = timeframe.in_seconds() estimated_bars = time_span / (tf_seconds * 1000) range_bars = math.floor(estimated_bars) final_bars = math.min(range_bars, i_max_visible_bars) math.max(final_bars, 50) // Minimum threshold else math.max(i_periods, 50) 🔶 Advanced Bull/Bear Volume Separation Employs sophisticated candle classification algorithms to separate bullish and bearish volume at each price level, with weighted distribution based on bar intersection ratios. The system analyzes open/close relationships to determine volume direction, applying proportional allocation for doji patterns and ensuring accurate representation of buying versus selling pressure across the entire price spectrum. 🔶 Multi-Mode Volume Visualization Features three distinct display modes for bull/bear volume representation: Split mode creates mirrored profiles from a central axis, Side by Side mode displays sequential bull/bear segments, and Stacked mode separates volumes vertically. Each mode offers unique insights into market participant behavior with customizable width, thickness, and color parameters for optimal visual clarity. // Bull/Bear volume calculation with weighted distribution for bar_offset = 0 to actual_periods - 1 bar_high = high bar_low = low bar_volume = volume // Calculate intersection weight weight = math.min(bar_high, next_level) - math.max(bar_low, current_level) weight := weight / (bar_high - bar_low) weighted_volume = bar_volume * weight // Classify volume direction if bar_close > bar_open level_bull_volume += weighted_volume else if bar_close < bar_open level_bear_volume += weighted_volume else // Doji handling level_bull_volume += weighted_volume * 0.5 level_bear_volume += weighted_volume * 0.5 🔶 Point of Control & Value Area Detection Implements institutional-standard POC identification by locating the price level with maximum volume accumulation, providing critical support/resistance zones. The Value Area calculation uses sophisticated sorting algorithms to identify the price range containing 70% of trading volume, revealing the market's accepted value zone where institutional participants concentrate their activity. 🔶 Volume Delta Analysis System Incorporates real-time volume delta calculation with configurable dominance thresholds to identify significant bull/bear imbalances. The system visually highlights price levels where buying or selling pressure exceeds threshold percentages, providing immediate insight into directional volume flow and potential reversal zones through color-coded delta indicators. // Value Area calculation using 70% volume accumulation total_volume_sum = array.sum(total_volumes) target_volume = total_volume_sum * 0.70 // Sort volumes to find highest activity zones for i = 0 to array.size(sorted_volumes) - 2 for j = i + 1 to array.size(sorted_volumes) - 1 if array.get(sorted_volumes, j) > array.get(sorted_volumes, i) // Swap and track indices for value area boundaries // Accumulate until 70% threshold reached for i = 0 to array.size(sorted_indices) - 1 accumulated_volume += vol array.push(va_levels, array.get(volume_levels, idx)) if accumulated_volume >= target_volume break ❓How It Works 🔶 Weighted Volume Distribution Implements proportional volume allocation based on the percentage of each bar that intersects with price levels. When a bar spans multiple levels, volume is distributed proportionally based on the intersection ratio, ensuring precise representation of trading activity across the entire price spectrum without double-counting or volume loss. 🔶 Real-Time Profile Generation Profiles regenerate on each bar close when in visible range mode, automatically adapting to chart zoom and scroll actions. The system maintains optimal performance through intelligent caching mechanisms and selective line updates, ensuring smooth operation even with maximum resolution settings and extended analysis periods. 🔶 Market Sentiment Analysis Features comprehensive volume analysis table displaying total volume metrics, bullish/bearish percentages, and overall market sentiment classification. The system calculates volume dominance ratios in real-time, providing immediate insight into whether buyers or sellers control the current price structure with percentage-based sentiment thresholds. 🔶 Visual Profile Mapping Provides multi-layered visual feedback through colored volume bars, POC line highlighting, Value Area boundaries, and optional delta indicators. The system supports profile mirroring for alternative perspectives, line extension for future reference, and customizable label positioning with detailed price information at critical levels. Why Choose Volume Profile Grid The Volume Profile Grid represents the evolution of volume analysis tools, combining traditional volume profile concepts with modern visualization techniques and intelligent analysis algorithms. By integrating dynamic range selection, sophisticated bull/bear separation, and multi-mode visualization with POC/Value Area detection, it provides traders with institutional-quality market structure analysis that adapts to any trading style. The comprehensive delta analysis and sentiment monitoring system eliminates guesswork while the flexible visualization options ensure optimal clarity across all market conditions, making it an essential tool for traders seeking to understand true market dynamics through volume-based price discovery.
Pine Script®指標
由AlphaExtract提供
2
SONIC R BREAK FINAL (VER5) Purpose: Capture breakouts through Support/Resistance (S/R) zones based on Pivot and filter signals using EMA 34 (High/Low/Close), EMA 89, volume, and candle structure. Includes a Higher Timeframe (H4) RSI risk warning (visual only, does not block entries). How it works S/R zones from Pivot Draws Resistance and Support using ta.pivothigh/ta.pivotlow with Left/Right Bars. S/R lines are locked with offset to reduce repaint. EMA trend filters EMA34 High/Low/Close build a “EMA 34 band”. EMA89 works as the main trend filter. Trend conditions: Long: close above all EMA34 High/Low/Close and EMA89. Short: close below all EMA34 High/Low/Close and EMA89. Volume filter (optional) Signal valid only if Volume > SMA(Volume, n). Wick filter Each wick (upper/lower) ≤ 50% of candle range to avoid weak breakouts. Higher TF RSI risk (H4) Fetches RSI from a higher timeframe (default H4). If RSI exceeds threshold, breakout labels turn gray (risk warning only). Anti-repeat mechanism Each new pivot resets trigger. Each S/R level triggers only once until the next pivot is formed. Signals & Alerts Label “B” (green) below candle: breakout above Resistance, valid EMA/Volume/Wick conditions. Label “S” (red) above candle: breakout below Support, valid EMA/Volume/Wick conditions. Gray labels = H4 RSI risk warning. Unified alert: “S/R Breakout (Unified)” with message B=Buy, S=Sell, Gray=Risk. Parameters Show Breaks: toggle breakout detection. Left/Right Bars: pivot sensitivity. Require Volume > Average + Volume MA Length: volume filter. Use H4 RSI Risk Warning: enable higher TF RSI check. RSI Length, Higher TF (minutes), RSI thresholds for Buy/Sell risk. Usage tips Prioritize trades in the same direction as EMA89 and EMA34 trend. Works on M5 to H4; best combined with RSI H4 when trading M15/M30. Place SL behind the S/R just broken, TP by fixed RR or EMA trailing. Increase Left/Right Bars for stronger zones and less noise in sideways markets. Notes Pivot still has repaint element (mitigated by offset). This indicator is not financial advice. Always combine with proper risk management. Version Clean v4: added wick ≤50% filter, H4 RSI risk coloring, volume filter, anti-repeat pivot trigger, unified alert, EMA34 H/L/C background shading.
Pine Script®指標
由tanle26112002提供
Recent Range DetectorOverview The Recent Range Detector is a specialized indicator designed to identify when an asset is currently range-bound, providing traders with clear support and resistance levels for range trading strategies. Unlike traditional indicators that focus on trend detection, this tool specifically answers the question: "Is the price range-bound right now, and what are the exact trading levels?" Key Features ✅ Smart Range Detection - Uses a multi-factor scoring system to identify legitimate ranges ✅ Dynamic Support/Resistance Levels - Automatically calculates and displays key trading levels ✅ Range Quality Scoring - Provides confidence levels (Strong/Moderate/Weak Range) ✅ Touch Validation - Counts actual price touches to confirm range reliability ✅ Breakout Detection - Alerts when price exits the established range ✅ Visual Clarity - Clean boxes, lines, and labels for easy interpretation How It Works The indicator analyses recent price action using three core metrics: Touch Quality (40%) - How many times price has respected support/resistance levels Containment Quality (40%) - What percentage of recent bars stayed within the range Recent Respect (20%) - Whether the latest price action confirms the range These combine into a Range Score (0-1) that determines range strength and reliability. Settings & Parameters Range Lookback Period (Default: 15) Number of bars to analyse for range detection Shorter periods = more responsive to recent ranges Longer periods = more stable, fewer false signals Range Tolerance (Default: 2.0%) Tolerance for price touches around exact highs/lows Lower values = stricter range requirements Higher values = more flexible range detection Minimum Touches (Default: 3) Required number of support/resistance touches for valid range Higher values = more confirmed ranges, fewer signals Lower values = more sensitive, earlier detection Visual Options Show Range Box: Displays the range boundaries Show Support/Resistance Lines: Extends levels into the future Understanding the Output Range Score (0.000 - 1.000) 0.7+ = Strong Range (Green) - High confidence range trading setup 0.5-0.7 = Moderate Range (Yellow) - Decent range with some caution 0.3-0.5 = Weak Range (Orange) - Low confidence, be careful <0.3 = Not Ranging - Avoid range trading strategies Range Status Classifications Strong Range - Perfect for range trading strategies Moderate Range - Good range with normal risk Weak Range - Marginal range, use smaller positions Not Ranging - Price is trending or too choppy for range trading Key Metrics in Info Table Range Size (%) - Size of the range relative to price level 5-15% = Ideal range size for most strategies <5% = Tight range, lower profit potential >15% = Wide range, higher profit potential but more risk Support/Resistance Levels - Exact price levels for entries/exits Use these as your key trading levels Support = potential buy zone Resistance = potential sell zone Total Touches - Number of times price respected the levels 3-5 touches = Newly formed range 6-10 touches = Well-established range 10+ touches = Very strong, reliable range Price Position (%) - Current location within the range 0-20% = Near support (potential long opportunity) 80-100% = Near resistance (potential short opportunity) 40-60% = Middle of range (wait for better entry) Visual Elements Range Box Green Box = Strong Range (Score ≥ 0.7) Yellow Box = Moderate Range (Score 0.5-0.7) Orange Box = Weak Range (Score 0.3-0.5) Support/Resistance Lines - Horizontal lines showing exact trading levels - Extend into the future for forward guidance - Colour matches the range strength Background Colouring - Subtle background tint during range periods - Helps quickly identify ranging vs trending markets Breakout Signals - 📈 RANGE BREAK UP - Price breaks above resistance - 📉 RANGE BREAK DOWN - Price breaks below support - Only appears for confirmed ranges (Score ≥ 0.5) Trading Applications Range Trading Strategy 1. Look for Range Score ≥ 0.5 2. Buy near support (Price Position 0-20%) 3. Sell near resistance (Price Position 80-100%) 4. Set stops just outside the range 5. Exit on breakout signals Breakout Strategy 1. Identify strong ranges (Score ≥ 0.7) 2. Wait for volume-confirmed breakout 3. Enter in breakout direction 4. Use previous resistance as support (or vice versa) Market Context - Strong ranges often occur after trending moves - Use higher timeframes to confirm overall market structure - Combine with volume analysis for better entries/exits Best Practices What to Look For ✅ Range Score ≥ 0.5 for trading consideration ✅ Multiple touches (5+) for confirmation ✅ Clear price rejection at levels ✅ Reasonable range size (5-15% for most assets) ✅ Recent price respect of boundaries What to Avoid ❌ Trading ranges with Score < 0.3 ❌ Very tight ranges (<3% size) - low profit potential ❌ Ranges with only 1-2 touches - not confirmed ❌ Ignoring breakout signals ❌ Trading against the higher timeframe trend Alerts Available - Range Detected - New range formation - Range Break Up - Upward breakout - Range Break Down - Downward breakout - Range Ended - Range condition ended Timeframe Recommendations - Daily Charts - Best for swing trading ranges - 4H Charts - Good for intermediate-term ranges - 1H Charts - Suitable for day trading ranges - Lower Timeframes - May produce more noise Conclusion The Recent Range Detector eliminates guesswork in range identification by providing objective, quantified range analysis. It's particularly valuable for traders who prefer range-bound strategies or need to identify when trending strategies should be avoided. Remember: No indicator is perfect. Always combine with proper risk management, volume analysis, and broader market context for best results. Disclaimer This indicator is for educational purposes only and should not be considered as financial advice. Trading involves risk, and past performance does not guarantee future results. Always conduct your own research and consider your risk tolerance before making any trading decisions.
Pine Script®指標
由eggubonda提供
Crypto Options Greeks & Volatility Analyzer [BackQuant]Crypto Options Greeks & Volatility Analyzer Overview The Crypto Options Greeks & Volatility Analyzer is a comprehensive analytical tool that calculates Black-Scholes option Greeks up to the third order for Bitcoin and Ethereum options. It integrates implied volatility data from VOLMEX indices and provides multiple visualization layers for options risk analysis. Quick Introduction to Options Trading Options are financial derivatives that give the holder the right, but not the obligation, to buy or sell an underlying asset at a predetermined price (strike price) within a specific time period (expiration date). Understanding options requires grasping two fundamental concepts: Call Options : Give the right to buy the underlying asset at the strike price. Calls increase in value when the underlying price rises above the strike price. Put Options : Give the right to sell the underlying asset at the strike price. Puts increase in value when the underlying price falls below the strike price. The Language of Options: Greeks Options traders use "Greeks" - mathematical measures that describe how an option's price changes in response to various factors: Delta : How much the option price moves for each $1 change in the underlying Gamma : How fast delta changes as the underlying moves Theta : Daily time decay - how much value erodes each day Vega : Sensitivity to implied volatility changes Rho : Sensitivity to interest rate changes These Greeks are essential for understanding risk. Just as a pilot needs instruments to fly safely, options traders need Greeks to navigate market conditions and manage positions effectively. Why Volatility Matters Implied volatility (IV) represents the market's expectation of future price movement. High IV means: Options are more expensive (higher premiums) Market expects larger price swings Better for option sellers Low IV means: Options are cheaper Market expects smaller moves Better for option buyers This indicator helps you visualize and quantify these critical concepts in real-time. Back to the Indicator Key Features & Components 1. Complete Greeks Calculations The indicator computes all standard Greeks using the Black-Scholes-Merton model adapted for cryptocurrency markets: First Order Greeks: Delta (Δ) : Measures the rate of change of option price with respect to underlying price movement. Ranges from 0 to 1 for calls and -1 to 0 for puts. Vega (ν) : Sensitivity to implied volatility changes, expressed as price change per 1% change in IV. Theta (Θ) : Time decay measured in dollars per day, showing how much value erodes with each passing day. Rho (ρ) : Interest rate sensitivity, measuring price change per 1% change in risk-free rate. Second Order Greeks: Gamma (Γ) : Rate of change of delta with respect to underlying price, indicating how quickly delta will change. Vanna : Cross-derivative measuring delta's sensitivity to volatility changes and vega's sensitivity to price changes. Charm : Delta decay over time, showing how delta changes as expiration approaches. Vomma (Volga) : Vega's sensitivity to volatility changes, important for volatility trading strategies. Third Order Greeks: Speed : Rate of change of gamma with respect to underlying price (∂Γ/∂S). Zomma : Gamma's sensitivity to volatility changes (∂Γ/∂σ). Color : Gamma decay over time (∂Γ/∂T). Ultima : Third-order volatility sensitivity (∂²ν/∂σ²). 2. Implied Volatility Analysis The indicator includes a sophisticated IV ranking system that analyzes current implied volatility relative to its recent history: IV Rank : Percentile ranking of current IV within its 30-day range (0-100%) IV Percentile : Percentage of days in the lookback period where IV was lower than current IV Regime Classification : Very Low, Low, High, or Very High Color-Coded Headers : Visual indication of volatility regime in the Greeks table Trading regime suggestions based on IV rank: IV Rank > 75%: "Favor selling options" (high premium environment) IV Rank 50-75%: "Neutral / Sell spreads" IV Rank 25-50%: "Neutral / Buy spreads" IV Rank < 25%: "Favor buying options" (low premium environment) 3. Gamma Zones Visualization Gamma zones display horizontal price levels where gamma exposure is highest: Purple horizontal lines indicate gamma concentration areas Opacity scaling : Darker shading represents higher gamma values Percentage labels : Shows gamma intensity relative to ATM gamma Customizable zones : 3-10 price levels can be analyzed These zones are critical for understanding: Pin risk around expiration Potential for explosive price movements Optimal strike selection for gamma trading Market maker hedging flows 4. Probability Cones (Expected Move) The probability cones project expected price ranges based on current implied volatility: 1 Standard Deviation (68% probability) : Shown with dashed green/red lines 2 Standard Deviations (95% probability) : Shown with dotted green/red lines Time-scaled projection : Cones widen as expiration approaches Lognormal distribution : Accounts for positive skew in asset prices Applications: Strike selection for credit spreads Identifying high-probability profit zones Setting realistic price targets Risk management for undefined risk strategies 5. Breakeven Analysis The indicator plots key price levels for options positions: White line : Strike price Green line : Call breakeven (Strike + Premium) Red line : Put breakeven (Strike - Premium) These levels update dynamically as option premiums change with market conditions. 6. Payoff Structure Visualization Optional P&L labels display profit/loss at expiration for various price levels: Shows P&L at -2 sigma, -1 sigma, ATM, +1 sigma, and +2 sigma price levels Separate calculations for calls and puts Helps visualize option payoff diagrams directly on the chart Updates based on current option premiums Configuration Options Calculation Parameters Asset Selection : BTC or ETH (limited by VOLMEX IV data availability) Expiry Options : 1D, 7D, 14D, 30D, 60D, 90D, 180D Strike Mode : ATM (uses current spot) or Custom (manual strike input) Risk-Free Rate : Adjustable annual rate for discounting calculations Display Settings Greeks Display : Toggle first, second, and third-order Greeks independently Visual Elements : Enable/disable probability cones, gamma zones, P&L labels Table Customization : Position (6 options) and text size (4 sizes) Price Levels : Show/hide strike and breakeven lines Technical Implementation Data Sources Spot Prices : INDEX:BTCUSD and INDEX:ETHUSD for underlying prices Implied Volatility : VOLMEX:BVIV (Bitcoin) and VOLMEX:EVIV (Ethereum) indices Real-Time Updates : All calculations update with each price tick Mathematical Framework The indicator implements the full Black-Scholes-Merton model: Standard normal distribution approximations using Abramowitz and Stegun method Proper annualization factors (365-day year) Continuous compounding for interest rate calculations Lognormal price distribution assumptions Alert Conditions Four categories of automated alerts: Price-Based : Underlying crossing strike price Gamma-Based : 50% surge detection for explosive moves Moneyness : Deep ITM alerts when |delta| > 0.9 Time/Volatility : Near expiration and vega spike warnings Practical Applications For Options Traders Monitor all Greeks in real-time for active positions Identify optimal entry/exit points using IV rank Visualize risk through probability cones and gamma zones Track time decay and plan rolls For Volatility Traders Compare IV across different expiries Identify mean reversion opportunities Monitor vega exposure across strikes Track higher-order volatility sensitivities Conclusion The Crypto Options Greeks & Volatility Analyzer transforms complex mathematical models into actionable visual insights. By combining institutional-grade Greeks calculations with intuitive overlays like probability cones and gamma zones, it bridges the gap between theoretical options knowledge and practical trading application. Whether you're: A directional trader using options for leverage A volatility trader capturing IV mean reversion A hedger managing portfolio risk Or simply learning about options mechanics This tool provides the quantitative foundation needed for informed decision-making in cryptocurrency options markets. Remember that options trading involves substantial risk and complexity. The Greeks and visualizations provided by this indicator are tools for analysis - they should be combined with proper risk management, position sizing, and a thorough understanding of options strategies. As crypto options markets continue to mature and grow, having professional-grade analytics becomes increasingly important. This indicator ensures you're equipped with the same analytical capabilities used by institutional traders, adapted specifically for the unique characteristics of 24/7 cryptocurrency markets.
Pine Script®指標
由BackQuant提供
4
Time-Price Velocity [QuantAlgo]🟢 Overview The Time-Price Velocity indicator uses advanced velocity-based analysis to measure the rate of price change normalized against typical market movement, creating a dynamic momentum oscillator that identifies market acceleration patterns and momentum shifts. Unlike traditional momentum indicators that focus solely on price change magnitude, this indicator incorporates time-weighted displacement calculations and ATR normalization to create a sophisticated velocity measurement system that adapts to varying market volatility conditions. This indicator displays a velocity signal line that oscillates around zero, with positive values indicating upward price velocity and negative values indicating downward price velocity. The signal incorporates acceleration background columns and statistical normalization to help traders identify momentum shifts and potential reversal or continuation opportunities across different timeframes and asset classes. 🟢 How It Works The indicator's key insight lies in its time-price velocity calculation system, where velocity is measured using the fundamental physics formula: velocity = priceChange / timeWeight The system normalizes this raw velocity against typical price movement using Average True Range (ATR) to create market-adjusted readings: normalizedVelocity = typicalMove > 0 ? velocity / typicalMove : 0 where "typicalMove = ta.atr(lookback)" provides the baseline for normal price movement over the specified lookback period. The Time-Price Velocity indicator calculation combines multiple sophisticated components. First, it calculates acceleration as the change in velocity over time: acceleration = normalizedVelocity - normalizedVelocity Then, the signal generation applies EMA smoothing to reduce noise while preserving responsiveness: signal = ta.ema(normalizedVelocity, smooth) This creates a velocity-based momentum indicator that combines price displacement analysis with statistical normalization, providing traders with both directional signals and acceleration insights for enhanced market timing. 🟢 How to Use 1. Signal Interpretation and Threshold Zones Positive Values (Above Zero): Time-price velocity indicating bullish momentum with upward price displacement relative to normalized baseline Negative Values (Below Zero): Time-price velocity indicating bearish momentum with downward price displacement relative to normalized baseline Zero Line Crosses: Velocity transitions between bullish and bearish regimes, indicating potential trend changes or momentum shifts Upper Threshold Zone: Area above positive threshold (default 1.0) indicating strong bullish velocity and potential reversal point Lower Threshold Zone: Area below negative threshold (default -1.0) indicating strong bearish velocity and potential reversal point 2. Acceleration Analysis and Visual Features Acceleration Columns: Background histogram showing velocity acceleration (the rate of change of velocity), with green columns indicating accelerating velocity and red columns indicating decelerating velocity. The interpretation depends on trend context: red columns in downtrends indicate strengthening bearish momentum, while red columns in uptrends indicate weakening bullish momentum Acceleration Column Height: The height of each column represents the magnitude of acceleration, with taller columns indicating stronger acceleration or deceleration forces Bar Coloring: Optional price bar coloring matches velocity direction for immediate visual trend confirmation Info Table: Real-time display of current velocity and acceleration values with trend arrows and change indicators 3. Additional Features: Confirmed vs Live Data: Toggle between confirmed (closed) bar analysis for stable signals or current bar inclusion for real-time updates Multi-timeframe Adaptability: Velocity normalization ensures consistent readings across different chart timeframes and asset volatilities Alert System: Built-in alerts for threshold crossovers and direction changes 🟢 Examples with Preconfigured Settings Default : Balanced configuration suitable for most timeframes and general trading applications, providing optimal balance between sensitivity and noise filtering for medium-term analysis. Scalping : High sensitivity setup with shorter lookback period and reduced smoothing for ultra-short-term trades on 1-15 minute charts, optimized for capturing rapid momentum shifts and frequent trading opportunities. Swing Trading : Extended lookback period with enhanced smoothing and higher threshold for multi-day positions, designed to filter market noise while capturing significant momentum moves on 1-4 hour and daily timeframes.
Pine Script®指標
由QuantAlgo提供
5
TZtraderTZtrader This is a TrendZones version with features to set stoploss and targets in short and long positions meant for use in intraday charts. It aims to provide signals for opening and closing long and short positions. In the comments under the TrendZones publication several people expressed a need for features for a short position similar to those for a long position as implemented in TrendZones, some want to use it for scalping, some asked for alerts. When I proposed to create a version for day trading with target lines based on ATR, several people liked the idea. Full disclosure: I don’t do day trading, because, after I lost a lot of money, I had to promise my wife to stay away from it. I restrict myself to long term investing in stocks which are in uptrend. However I understand what a day trader needs. I gather from my experience that day trading or scalping is an attempt to earn something by opening a position in the morning and close, reopen and close it again during the day with a profit. It is usually done with leveraged instruments like CFD’s, futures, options, and what have you. Opening and closing positions is done within minutes, so the trader needs a quick and efficient way to set proper stoploss and target. TZtrader supports this by showing only three or four numbers on the price bar: The price of the instrument, The logical stop level (gray or green or maroon dots), and the target level (navy). All other numbers are suppressed to prevent mistakes. Also a clear feedback for current settings at the top-center of the pane and an alert feedback at bottom that flashes alerts during the development of the current bar and gives suppression status. The script First I made a bare bones version of TrendZones to which I added code for long and short trading setups and a bare setup for no position. The code for the logical stops in long setup had to be reviewed, after which this became the basis for stops in short setup. Then I added code for 10 alert messages, which was a hassle, because this is the first time I coded alerts and the first time I used an array as a stack to avoid a complicated if-then construction. During testing the array caused a runtime error which I solved by adding ‘array.clear’ to the code, also I discovered that in TradingView separate alerts have to be created for all three setups - short, long and bare. Flipping setups is done in the inputs with a dropdown menu because Pine Script has no function for a clickable button. One visual with three setups. The visual has the TrendZones structure: Three near parallel very smooth curves, which border the moderate uptrend (green) and downtrend (orange) zone over and under the curve in the middle, the COG (Center Of Gravity). Where the price breaks out of these curves, strong trend zones show up over and under the curves, respectively strong uptrend (blue) and strong downtrend (red). Three setups were made clearly different to avoid confusion and to provide oversight in case of multiple trades going on simultaneously which I imagine are monitored in one screen. You have to see which one is long, which short and which have no position. The long setup should not trigger short signals, nor should the short trigger long signals nor the bare setup exclusive long or short signals. The Long setup is default, shown on the example chart. In this setup the Stoploss suggestions (green, gray and maroon dots) are under the price bars and the target line (navy) at a set distance above the High Border. A zone with a width of 1 ATR is drawn under the Low Border. In this setup 5 specific alerts are provided The Short setup has the Stoploss suggestions over the price bars, the target line at a set distance under the Low Border. A zone with a width of 1 ATR is drawn above the High Border. This setup also has 5 specific alerts. The Bare setup has no Stoploss suggestions, no target line and supports 4 alerts, 2 in common with the Long setup and 2 with Short. The table below gives a summary of scripted alerts: Setup = Where = When = Purpose Long, Bare = Green Zone = Bars come from lower zones = Uptrend starts Long, Bare = Green Zone = Sideways ends in uptrend = Uptrend resumes Long = COG = First crossing = Uptrend might end warning Long = Orange Zone = Bars come from higher zones = Uptrend ended take care Long = Red Zone = Bars come from higher zones = Strong downtrend->close Long Short, Bare = Orange Zone = Bars come from higher zones = Downtrend starts Short, Bare = Orange Zone = Sideways ends in downtrend = Downtrend resumes Short = COG = First crossing = Downtrend might end warning Short = Green Zone = Bars come from lower zones = Downtrend ended take care Short = Blue Zone = Bars come from lower zones = Strong uptrend -> close short You can use script alerts in TradingView by clicking the clock in the sidebar, then ‘create alert’ or plus, as condition you choose ‘Tztrader’ in the dialog box, then the “Any alert() function call” option (the first item in the list). The script lets the valid alert trigger by TradingView after the bar is completed, this can differ from the flashed messages during its formation. When you create alerts in Tradingview, I advice to do that for each setup, then to make only the alert active which matches the current setup, pause the other ones. Suppressing false and annoying signals The script has two ways to suppress such signals, which have to do with the numbers in the alert feedback. The numbers left and right of the message with a colored background, depict the zones in which the previous (left) and current (right) bar move. 1 is the strong downtrend zone (red), 2 the moderate downtrend zone (orange), 3 the sideways zones (gray), 4 the COG (gray), 5 the moderate uptrend zone (green), 6 the strong uptrend zone (blue), 7 something went wrong with assigning a zone (black). In extensive testing the number 7 never occurs, because I catch that error in the code. The idea is that an alert is only triggered if the previous bar was in a different zone. When the bars are in the same zone, no alert is possible. This way all annoying signals are suppressed and long, short and bare get the appropriate alerts. The third number is a counter. It counts how often the COG is crossed without touching the outer curves. The counter will reset to zero when the upper or lower curve is touched. When the count is 1 you have zone situation 4 and appropriate alerts are flashed. When the count is 2 or higher, a sideways situation (3) is called and while the recrossings are going on, no alerts can be flashed. This suppresses false signals. The ATR zone and curves are brownish-gray where sideways happens(ed). When the channel is narrowed down to just the three curves, some false signals still might occur. Inputs “Setup”, default is long, drop down menu provides long, short and bare. “Target ATR”, default is 2, sets the amount of ATR for the target line. In 1 minute charts 4 seems an appropriate setting, you have to learn by experience which setting works. “show feedback …” default is on, This creates two feedback labels, a Setup feedback on top of the pane, which shows charted instrument, Setup type, Trend and timeframe of the chart. Background color of Trend feedback is green when it matches the setup, red when mismatches and gray when no match. The alert feedback at the bottom of the pane shows a number, a message and two numbers. The numbers will be explained in the chapter about false and annoying signals below. During formation of the bar, valid alerts are flashed with a blue background, otherwise the message ‘alerts for current bar suppressed’. Logical Stops The curves are the logical place to put stops, because, as these are averages of the high and low border of a Donchian channel, they signify the ‘natural’ current highest, lowest and main level in the lookback period that fit the monitored trend setup. A downtrend turns into an uptrend when a breakout of the upper curve occurs. If you are short, that is where you want to close position, so the logical place for the stoploss is the upper curve. Vice versa, when you are long, the logical stop is on the lower curve. The stops show up as green or gray dots on the curves, the green dots signify a nice entry level, the gray stops are there to suggest levels where unrealized profits might be secured, the maroon dots indicate that the trend mismatches the setup. COG versus other lines Any line used to identify a trend, be it some MA or some other line, is interpreted the same way: When the bars move above the line there is an uptrend and when below, a downtrend. COG is not different in that sense. If you put such a line in the same chart as TZtrader, you can see situations in which the other line shows uptrend or downtrend earlier than COG, also some other lines, e.g. Hull MA, are very good at showing tops and bottoms, while COG ignores these. On the other hand the other lines are usually a little nervous and let you shake out of position too soon. Just like the other lines, COG gives false signals when it is near horizontal. The advantage of the placement COG is the tolerance for pull backs. This way TZtrader keeps you longer in the trend. Such pull backs are often ‘flags’ which are interpreted in TA as confirming the trend. Tztrader aims to get you in position reasonably soon when a trend begins and out of position as soon as the trend turns against you. The placement of COG is done with a fundamentally different algorithm than other lines as it is not an average of prices, but the middle of two averages of borders of a Donchian channel. This gives the two zones between the curves the same quality as the two zones above and below the middle line of a standard Donchian Channel. A multi timeframe application. In this scenario you put a 5 minutes and 1 minute chart with Tztrader side by side. If the 5 minutes shows uptrend, set the 1 minute on long trading and open positions when the trend matches uptrend en close when it mismatches. Don’t open short positions. Once the 5 minute changes to downtrend, set Tztrader in the 1 minute to short trading and open positions when the trend matches downtrend and close when it mismatches. The idea is that in a long ‘context’, provided by the 5 minutes, the uptrends in the 1 minute will last longer and go further, vice versa for the short ‘context’. This way you do swing trading in the 5 minute in a smart way, maximizing profits. You can do this with any timeframe pairs with a proportion of around 5:1, 4:1, 6:1, like e.g. 60 minutes and 15 minutes or weeks and days (5 trading days in a week). Dear day-traders, may this tool be helpful and may your days be blessed. Take care
Pine Script®指標
由eykpunter提供
2
FEDFUNDS Rate Divergence Oscillator [BackQuant]FEDFUNDS Rate Divergence Oscillator 1. Concept and Rationale The United States Federal Funds Rate is the anchor around which global dollar liquidity and risk-free yield expectations revolve. When the Fed hikes, borrowing costs rise, liquidity tightens and most risk assets encounter head-winds. When it cuts, liquidity expands, speculative appetite often recovers. Bitcoin, a 24-hour permissionless asset sometimes described as “digital gold with venture-capital-like convexity,” is particularly sensitive to macro-liquidity swings. The FED Divergence Oscillator quantifies the behavioural gap between short-term monetary policy (proxied by the effective Fed Funds Rate) and Bitcoin’s own percentage price change. By converting each series into identical rate-of-change units, subtracting them, then optionally smoothing the result, the script produces a single bounded-yet-dynamic line that tells you, at a glance, whether Bitcoin is outperforming or underperforming the policy backdrop—and by how much. 2. Data Pipeline • Fed Funds Rate – Pulled directly from the FRED database via the ticker “FRED:FEDFUNDS,” sampled at daily frequency to synchronise with crypto closes. • Bitcoin Price – By default the script forces a daily timeframe so that both series share time alignment, although you can disable that and plot the oscillator on intraday charts if you prefer. • User Source Flexibility – The BTC series is not hard-wired; you can select any exchange-specific symbol or even swap BTC for another crypto or risk asset whose interaction with the Fed rate you wish to study. 3. Math under the Hood (1) Rate of Change (ROC) – Both the Fed rate and BTC close are converted to percent return over a user-chosen lookback (default 30 bars). This means a cut from 5.25 percent to 5.00 percent feeds in as –4.76 percent, while a climb from 25 000 to 30 000 USD in BTC over the same window converts to +20 percent. (2) Divergence Construction – The script subtracts the Fed ROC from the BTC ROC. Positive values show BTC appreciating faster than policy is tightening (or falling slower than the rate is cutting); negative values show the opposite. (3) Optional Smoothing – Macro series are noisy. Toggle “Apply Smoothing” to calm the line with your preferred moving-average flavour: SMA, EMA, DEMA, TEMA, RMA, WMA or Hull. The default EMA-25 removes day-to-day whips while keeping turning points alive. (4) Dynamic Colour Mapping – Rather than using a single hue, the oscillator line employs a gradient where deep greens represent strong bullish divergence and dark reds flag sharp bearish divergence. This heat-map approach lets you gauge intensity without squinting at numbers. (5) Threshold Grid – Five horizontal guides create a structured regime map:  • Lower Extreme (–50 pct) and Upper Extreme (+50 pct) identify panic capitulations and euphoria blow-offs.  • Oversold (–20 pct) and Overbought (+20 pct) act as early warning alarms.  • Zero Line demarcates neutral alignment. 4. Chart Furniture and User Interface • Oscillator fill with a secondary DEMA-30 “shader” offers depth perception: fat ribbons often precede high-volatility macro shifts. • Optional bar-colouring paints candles green when the oscillator is above zero and red below, handy for visual correlation. • Background tints when the line breaches extreme zones, making macro inflection weeks pop out in the replay bar. • Everything—line width, thresholds, colours—can be customised so the indicator blends into any template. 5. Interpretation Guide Macro Liquidity Pulse  • When the oscillator spends weeks above +20 while the Fed is still raising rates, Bitcoin is signalling liquidity tolerance or an anticipatory pivot view. That condition often marks the embryonic phase of major bull cycles (e.g., March 2020 rebound).  • Sustained prints below –20 while the Fed is already dovish indicate risk aversion or idiosyncratic crypto stress—think exchange scandals or broad flight to safety. Regime Transition Signals  • Bullish cross through zero after a long sub-zero stint shows Bitcoin regaining upward escape velocity versus policy.  • Bearish cross under zero during a hiking cycle tells you monetary tightening has finally started to bite. Momentum Exhaustion and Mean-Reversion  • Touches of +50 (or –50) come rarely; they are statistically stretched events. Fade strategies either taking profits or hedging have historically enjoyed positive expectancy.  • Inside-bar candlestick patterns or lower-timeframe bearish engulfings simultaneously with an extreme overbought print make high-probability short scalp setups, especially near weekly resistance. The same logic mirrors for oversold. Pair Trading / Relative Value  • Combine the oscillator with spreads like BTC versus Nasdaq 100. When both the FED Divergence oscillator and the BTC–NDQ relative-strength line roll south together, the cross-asset confirmation amplifies conviction in a mean-reversion short.  • Swap BTC for miners, altcoins or high-beta equities to test who is the divergence leader. Event-Driven Tactics  • FOMC days: plot the oscillator on an hourly chart (disable ‘Force Daily TF’). Watch for micro-structural spikes that resolve in the first hour after the statement; rapid flips across zero can front-run post-FOMC swings.  • CPI and NFP prints: extremes reached into the release often mean positioning is one-sided. A reversion toward neutral in the first 24 hours is common. 6. Alerts Suite Pre-bundled conditions let you automate workflows: • Bullish / Bearish zero crosses – queue spot or futures entries. • Standard OB / OS – notify for first contact with actionable zones. • Extreme OB / OS – prime time to review hedges, take profits or build contrarian swing positions. 7. Parameter Playground • Shorten ROC Lookback to 14 for tactical traders; lengthen to 90 for macro investors. • Raise extreme thresholds (for example ±80) when plotting on altcoins that exhibit higher volatility than BTC. • Try HMA smoothing for responsive yet smooth curves on intraday charts. • Colour-blind users can easily swap bull and bear palette selections for preferred contrasts. 8. Limitations and Best Practices • The Fed Funds series is step-wise; it only changes on meeting days. Rapid BTC oscillations in between may dominate the calculation. Keep that perspective when interpreting very high-frequency signals. • Divergence does not equal causation. Crypto-native catalysts (ETF approvals, hack headlines) can overwhelm macro links temporarily. • Use in conjunction with classical confirmation tools—order-flow footprints, market-profile ledges, or simple price action to avoid “pure-indicator” traps. 9. Final Thoughts The FEDFUNDS Rate Divergence Oscillator distills an entire macro narrative monetary policy versus risk sentiment into a single colourful heartbeat. It will not magically predict every pivot, yet it excels at framing market context, spotting stretches and timing regime changes. Treat it as a strategic compass rather than a tactical sniper scope, combine it with sound risk management and multi-factor confirmation, and you will possess a robust edge anchored in the world’s most influential interest-rate benchmark. Trade consciously, stay adaptive, and let the policy-price tension guide your roadmap.
Pine Script®指標
由BackQuant提供
1
Trading Report Generator from CSVMany people use the Trading Panel. Unfortunately, it doesn't have a Performance Report. However, TradingView has strategies, and they have a Performance Report :-D What if we combine the first and second? It's easy! This script is a special strategy that parses transactions in csv format from Paper Trading (and it will also work for other brokers) and “plays” them. As a result, we get a Performance Report for a specific instrument based on our real trades in Paper or another broker. How to use it : First, we need to get a CSV file with transactions. To do this, go to the Trading Panel and connect the desired broker. Select the History tab, then the Filled sub-tab, and configure the columns there, leaving only: Side, Qty, Fill Price, Closing Time. After that, open the Export data dialog, select History, and click Export. Open the downloaded CSV file in a regular text editor (Notepad or similar). It will contain a text like this: Symbol,Side,Qty,Fill Price,Closing Time FX:EURUSD,Buy,1000,1.0938700000000001,2023-04-05 14:29:23 COINBASE:ETHUSD,Sell,1,1332.05,2023-01-11 17:41:33 CME_MINI:ESH2023,Sell,1,3961.75,2023-01-11 17:30:40 CME_MINI:ESH2023,Buy,1,3956.75,2023-01-11 17:08:53 Next select all the text (Ctrl+A) and copy it to the clipboard. Now apply the "Trading Report Generator from CSV" strategy to the chart with the desired symbol and TF, open the settings/input dialog, paste the contents of the clipboard into the single text input field of the strategy, and click Ok. That's it. In the Strategy Tester, we see a detailed Performance Report based on our real transactions. P.S. The CSV file may contain transactions for different instruments, for example, you may have transactions for CRYPTO:BTCUSD and NASDAQ:AAPL. To view the report is based on CRYPTO:BTCUSD trades, simply change the symbol on the chart to CRYPTO:BTCUSD. To view the report is based on NASDAQ:AAPL trades, simply change the symbol on the chart to NASDAQ:AAPL. No changes to the strategy are required. How it works : At the beginning of the calculation, we parse the csv once, create trade objects (Trade) and sort them in chronological order. Next, on each bar, we check whether we have trades for the time period of the next bar. If there are, we place a limit order for each trade, with limit price == Fill Price of the trade. Here, we assume that if the trade is real, its execution price will be within the bar range, and the Pine strategy engine will execute this order at the specified limit price.
Pine Script®策略
由adolgov提供
4
Ultimate Market Structure [Alpha Extract]Ultimate Market Structure A comprehensive market structure analysis tool that combines advanced swing point detection, imbalance zone identification, and intelligent break analysis to identify high-probability trading opportunities.Utilizing a sophisticated trend scoring system, this indicator classifies market conditions and provides clear signals for structure breaks, directional changes, and fair value gap detection with institutional-grade precision. 🔶 Advanced Swing Point Detection Identifies pivot highs and lows using configurable lookback periods with optional close-based analysis for cleaner signals. The system automatically labels swing points as Higher Highs (HH), Lower Highs (LH), Higher Lows (HL), and Lower Lows (LL) while providing advanced classifications including "rising_high", "falling_high", "rising_low", "falling_low", "peak_high", and "valley_low" for nuanced market analysis. swingHighPrice = useClosesForStructure ? ta.pivothigh(close, swingLength, swingLength) : ta.pivothigh(high, swingLength, swingLength) swingLowPrice = useClosesForStructure ? ta.pivotlow(close, swingLength, swingLength) : ta.pivotlow(low, swingLength, swingLength) classification = classifyStructurePoint(structureHighPrice, upperStructure, true) significance = calculateSignificance(structureHighPrice, upperStructure, true) 🔶 Significance Scoring System Each structure point receives a significance level on a 1-5 scale based on its distance from previous points, helping prioritize the most important levels. This intelligent scoring system ensures traders focus on the most meaningful structure breaks while filtering out minor noise. 🔶 Comprehensive Trend Analysis Calculates momentum, strength, direction, and confidence levels using volatility-normalized price changes and multi-timeframe correlation. The system provides real-time trend state tracking with bullish (+1), bearish (-1), or neutral (0) direction assessment and 0-100 confidence scoring. // Calculate trend momentum using rate of change and volatility calculateTrendMomentum(lookback) => priceChange = (close - close ) / close * 100 avgVolatility = ta.atr(lookback) / close * 100 momentum = priceChange / (avgVolatility + 0.0001) momentum // Calculate trend strength using multiple timeframe correlation calculateTrendStrength(shortPeriod, longPeriod) => shortMA = ta.sma(close, shortPeriod) longMA = ta.sma(close, longPeriod) separation = math.abs(shortMA - longMA) / longMA * 100 strength = separation * slopeAlignment ❓How It Works 🔶 Imbalance Zone Detection Identifies Fair Value Gaps (FVGs) between consecutive candles where price gaps create unfilled areas. These zones are displayed as semi-transparent boxes with optional center line mitigation tracking, highlighting potential support and resistance levels where institutional players often react. // Detect Fair Value Gaps detectPriceImbalance() => currentHigh = high currentLow = low refHigh = high refLow = low if currentOpen > currentClose if currentHigh - refLow < 0 upperBound = currentClose - (currentClose - refLow) lowerBound = currentClose - (currentClose - currentHigh) centerPoint = (upperBound + lowerBound) / 2 newZone = ImbalanceZone.new( zoneBox = box.new(bar_index, upperBound, rightEdge, lowerBound, bgcolor=bullishImbalanceColor, border_color=hiddenColor) ) 🔶 Structure Break Analysis Determines Break of Structure (BOS) for trend continuation and Directional Change (DC) for trend reversals with advanced classification as "continuation", "reversal", or "neutral". The system compares pre-trend and post-trend states for each break, providing comprehensive trend change momentum analysis. 🔶 Intelligent Zone Management Features partial mitigation tracking when price enters but doesn't fully fill zones, with automatic zone boundary adjustment during partial fills. Smart array management keeps only recent structure points for optimal performance while preventing duplicate signals from the same level. 🔶 Liquidity Zone Detection Automatically identifies potential liquidity zones at key structure points for institutional trading analysis. The system tracks broken structure points and provides adaptive zone extension with configurable time-based limits for imbalance areas. 🔶 Visual Structure Mapping Provides clear visual indicators including swing labels with color-coded significance levels, dashed lines connecting break points with BOS/DC labels, and break signals for continuation and reversal patterns. The adaptive zones feature smart management with automatic mitigation tracking. 🔶 Market Structure Interpretation HH/HL patterns indicate bullish market structure with trend continuation likelihood, while LH/LL patterns signal bearish structure with downtrend continuation expected. BOS signals represent structure breaks in trend direction for continuation opportunities, while DC signals warn of potential reversals. 🔶 Performance Optimization Automatic cleanup of old structure points (keeps last 8 points), recent break tracking (keeps last 5 break events), and efficient array management ensure smooth performance across all timeframes and market conditions. Why Choose Ultimate Market Structure ? This indicator provides traders with institutional-grade market structure analysis, combining multiple analytical approaches into one comprehensive tool. By identifying key structure levels, imbalance zones, and break patterns with advanced significance scoring, it helps traders understand market dynamics and position themselves for high-probability trade setups in alignment with smart money concepts. The sophisticated trend scoring system and intelligent zone management make it an essential tool for any serious trader looking to decode market structure with precision and confidence.
Pine Script®指標
由AlphaExtract提供
3
Candle close on high time frameOVERVIEW This indicator plots persistent closing levels of higher time frame candles (H1, H4, and Daily) on the active intraday chart in real time. Unlike similar tools, it offers granular control over line projection length, fully independent toggles per timeframe, and a built-in mechanism that automatically limits the total number of historical levels to avoid chart clutter and performance issues. CONCEPTS Key levels from higher time frames often act as areas where price reacts or consolidates. By projecting each candle's exact closing price forward as a horizontal reference, traders can quickly identify dynamic support and resistance zones relevant to the current price action. This indicator enables seamless multi-timeframe analysis without the need to manually switch chart intervals or re-draw lines. FEATURES Independent Time Frame Selection: Enable or disable H1, H4, and Daily levels individually to tailor the analysis. Custom Extension Length: Each timeframe's closing level can be projected forward for a user-defined number of bars. Performance Optimization: The script maintains an internal limit (default: 100) on the number of active lines. When this threshold is exceeded, the oldest lines are removed automatically. Visual Differentiation: Colors for each timeframe are fully customizable, enabling immediate recognition of level origin. Immediate Update: New levels appear as soon as a higher timeframe candle closes, ensuring real-time reference. USAGE From the indicator inputs, select which timeframes you want to track. Adjust the extension lengths to fit your trading style and time horizon. Customize the line colors for clarity and personal preference. Use these projected levels as part of your confluence criteria for entries, exits, or stop placement. Combine with trend indicators or price action tools to enhance your multi-timeframe strategy. ORIGINALITY AND ADDED VALUE While similar scripts exist that plot higher timeframe levels, this implementation differs in: Its efficient automatic cleanup of old lines to preserve chart performance. The independent extension and color settings per timeframe. Immediate reaction to new candle closes without repainting. Simplicity of use combined with precise customization. This combination makes it a practical and flexible tool for traders who rely on clear HTF level visualization without manual drawing or the limitations of built-in TradingView tools. LICENSE This script is published open-source under the Mozilla Public License 2.0.
Pine Script®指標
由Fussion_Trader提供
Volatility-Adjusted Momentum Score (VAMS) [QuantAlgo]🟢 Overview The Volatility-Adjusted Momentum Score (VAMS) measures price momentum relative to current volatility conditions, creating a normalized indicator that identifies significant directional moves while filtering out market noise. It divides annualized momentum by annualized volatility to produce scores that remain comparable across different market environments and asset classes. The indicator displays a smoothed VAMS Z-Score line with adaptive standard deviation bands and an information table showing real-time metrics. This dual-purpose design enables traders and investors to identify strong trend continuation signals when momentum persistently exceeds normal levels, while also spotting potential mean reversion opportunities when readings reach statistical extremes. 🟢 How It Works The indicator calculates annualized momentum using a simple moving average of logarithmic returns over a specified period, then measures annualized volatility through the standard deviation of those same returns over a longer timeframe. The raw VAMS score divides momentum by volatility, creating a risk-adjusted measure where high volatility reduces scores and low volatility amplifies them. This raw VAMS value undergoes Z-Score normalization using rolling statistical parameters, converting absolute readings into standardized deviations that show how current conditions compare to recent history. The normalized Z-Score receives exponential moving average smoothing to create the final VAMS line, reducing false signals while preserving sensitivity to meaningful momentum changes. The visualization includes dynamically calculated standard deviation bands that adjust to recent VAMS behavior, creating statistical reference zones. The information table provides real-time numerical values for VAMS Z-Score, underlying momentum percentages, and current volatility readings with trend indicators. 🟢 How to Use 1. VAMS Z-Score Bands and Signal Interpretation Above Mean Line: Momentum exceeds historical averages adjusted for volatility, indicating bullish conditions suitable for trend following Below Mean Line: Momentum falls below statistical norms, suggesting bearish conditions or downward pressure Mean Line Crossovers: Primary transition signals between bullish and bearish momentum regimes 1 Standard Deviation Breaks: Strong momentum conditions indicating statistically significant directional moves worth following 2 Standard Deviation Extremes: Rare momentum readings that often signal either powerful breakouts or exhaustion points 2. Information Table and Market Context Z-Score Values: Current VAMS reading displayed in standard deviations (σ), showing how far momentum deviates from its statistical norm Momentum Percentage: Underlying annualized momentum displayed as percentage return, quantifying the directional strength Volatility Context: Current annualized volatility levels help interpret whether VAMS readings occur in high or low volatility environments Trend Indicators: Directional arrows and change values provide immediate feedback on momentum shifts and market transitions 3. Strategy Applications and Alert System Trend Following: Use sustained readings beyond the mean line and 1σ band penetrations for directional trades, especially when VAMS maintains position in upper or lower statistical zones Mean Reversion: Focus on 2σ extreme readings for contrarian opportunities, particularly effective in sideways markets where momentum tends to revert to statistical norms Alert Notifications: Built-in alerts for mean crossovers (regime changes), 1σ breaks (strong signals), and 2σ touches (extreme conditions) help monitor multiple instruments for both continuation and reversal setups
Pine Script®指標
由QuantAlgo提供
10
Rolling Z-Score Trend [QuantAlgo]🟢 Overview The Rolling Z-Score Trend measures how far the current price deviates from its rolling mean in terms of standard deviations. It transforms price data into standardized scores to identify overbought and oversold conditions while tracking momentum shifts. The indicator displays a Z-Score line showing price deviation from statistical norms, with background momentum columns showing the rate of change in these deviations. This helps traders and investors identify mean reversion opportunities and momentum shifts across different asset classes and timeframes. 🟢 How It Works The indicator uses the Z-Score formula: Z = (X - μ) / σ, where X is the current closing price, μ is the rolling mean, and σ is the rolling standard deviation over a user-defined lookback period. This creates a dynamic baseline that adapts to changing market conditions and standardizes price movements for interpretation across different assets and volatility conditions. The raw Z-Score undergoes 3-period EMA smoothing to reduce noise while maintaining responsiveness to market signals. Beyond the basic Z-Score calculation, the indicator measures the rate of change in Z-Score values between successive bars, displayed as background momentum columns. This momentum component shows acceleration and deceleration of statistical deviations. All calculations are processed through confirmation filters, displaying signals only on confirmed bars to reduce premature signals based on incomplete price action. 🟢 How to Use 1. Z-Score Interpretation and Threshold Zones Positive Values (Above Zero) : Price trading above statistical mean, suggesting bullish momentum or potential overbought conditions Negative Values (Below Zero) : Price trading below statistical mean, suggesting bearish momentum or potential oversold conditions Zero Line Crosses : Signal transitions between statistical regimes and potential trend changes Upper Threshold Zone : Area above entry threshold (default 1.5) indicating potential overbought conditions Lower Threshold Zone : Area below negative entry threshold (default -1.5) indicating potential oversold conditions Extreme Values (±2.0 or higher) : Statistically significant deviations that may indicate reversal opportunities 2. Momentum Background Analysis and Info Table Green Columns : Accelerating positive momentum in Z-Score values Red Columns : Accelerating negative momentum in Z-Score values Column Height : Magnitude of momentum change between bars Momentum Divergence : When columns contradict primary Z-Score direction, often signals impending reversals Info Table : Displays real-time numerical values for both Z-Score and momentum, including trend direction indicators and bar-to-bar change calculations for position management 3. Preconfigured Settings Default : Balanced performance across multiple timeframes and asset classes for general trading and medium-term position management. Scalping : Responsive setup for ultra-short-term trading on 1-15 minute charts with frequent signals and increased sensitivity to quick price movements. Swing Trading : Optimized for multi-day positions with noise filtering, focusing on larger price swings. Most effective on 1-4 hour and daily timeframes. Trend Following : Maximum smoothing that prioritizes established trends over short-term volatility. Generates fewer signals for daily and weekly charts.
Pine Script®指標
由QuantAlgo提供
25
Session Status Table📌 Session Status Table Session Status Table is an indicator that displays the real-time status of the four major trading sessions: * 🇯🇵 Asia (Tokyo) * 🇬🇧 London * 🇺🇸 New York AM * 🇺🇸 New York PM It shows which sessions are currently open, how much time remains until they open or close, and optionally sends alerts in advance. 🧩 Features: * Real-time session table — shows the status of each session on the chart. * Color-coded statuses: * 🟢 Green – Session is open * 🔴 Red – Session is closed * ⚪ Gray – Weekend * Countdown timers until session open or close. * User alerts — receive a notification a custom number of minutes before a session starts. ⚙️ Customization: * Table position — fully configurable. * Session colors — customizable for open, closed, and weekend states. * Session labels — customizable with icons. * Notifications: * Enabled through TradingView's Alerts panel. * User-defined lead time before session opens. 🕒 Time Zones: All times are calculated in UTC to ensure consistency across different markets and regions, avoiding discrepancies from time zones and daylight saving time. 🚨 How to enable alerts: 1. Open the "Alerts" panel in TradingView. 2. Click "Create Alert". 3. In the condition dropdown, choose "Session Status Table". 4. Set to any alert() trigger. 5. Save — you'll be notified a set number of minutes before each session begins. ℹ️ Technical Notes: * Built with Pine Script version 6. * Logically divided into clear sections: inputs, session calculations, table rendering, and alerts. * Optimized for performance and reliability on all timeframes. Ideal for traders who use session activity in their strategies — especially in Forex, crypto, and futures markets.
Pine Script®指標
由Gleb_Cryptox提供
1
Correlation MA – 15 Assets + Average (Optional)This indicator calculates the moving average of the correlation coefficient between your charted asset and up to 15 user-selected symbols. It helps identify uncorrelated or inversely correlated assets for diversification, pair trading, or hedging. Features: ✅ Compare your current chart against up to 15 assets ✅ Toggle assets on/off individually ✅ Custom correlation and MA lengths ✅ Real-time average correlation line across enabled assets ✅ Horizontal lines at +1, 0, and -1 for easy visual reference Ideal for: Portfolio diversification analysis Finding low-correlation stocks Mean-reversion & pair trading setups Crypto, equities, ETFs To use: set the benchmark chart (e.g. TSLA), choose up to 15 assets, and adjust settings as needed. Look for assets with correlation near 0 or negative values for uncorrelated performance.
Pine Script®指標
由GhostPivot提供
2
Arnaud Legoux Trend Aggregator | Lyro RSArnaud Legoux Trend Aggregator Introduction Arnaud Legoux Trend Aggregator is a custom-built trend analysis tool that blends classic market oscillators with advanced normalization, advanced math functions and Arnaud Legoux smoothing. Unlike conventional indicators, 𝓐𝓛𝓣𝓐 aggregates market momentum, volatility and trend strength. Signal Insight The 𝓐𝓛𝓣𝓐 line visually reflects the aggregated directional bias. A rise above the middle line threshold signals bullish strength, while a drop below the middle line indicates bearish momentum. Another way to interpret the 𝓐𝓛𝓣𝓐 is through overbought and oversold conditions. When the 𝓐𝓛𝓣𝓐 rises above the +0.7 threshold, it suggests an overbought market and signals a strong uptrend. Conversely, a drop below the -0.7 level indicates an oversold condition and a strong downtrend. When the oscillator hovers near the zero line, especially within the neutral ±0.3 band, it suggests that no single directional force is dominating—common during consolidation phases or pre-breakout compression. Real-World Example Usually 𝓐𝓛𝓣𝓐 is used by following the bar color for simple signals; however, like most indicators there are unique ways to use an indicator. Let’s dive deep into such ways. The market begins with a green bar color, raising awareness for a potential long setup—but not a direct entry. In this methodology, bar coloring serves as an alert mechanism rather than a strict entry trigger. The first long position was initiated when the 𝓐𝓛𝓣𝓐 signal line crossed above the +0.3 threshold, suggesting a shift in directional acceleration. This entry coincided with a rising price movement, validating the trade. As price advanced, the position was exited into cash—not reversed into a short—because the short criteria for this use case are distinct. The exit was prompted by 𝓐𝓛𝓣𝓐 crossing back below the +0.3 level, signaling the potential weakening of the long trend. Later, as 𝓐𝓛𝓣𝓐 crossed below 0, attention shifted toward short opportunities. A short entry was confirmed when 𝓐𝓛𝓣𝓐 dipped below -0.3, indicating growing downside momentum. The position was eventually closed when 𝓐𝓛𝓣𝓐 crossed back above the -0.3 boundary—signaling a possible deceleration of the bearish move. This logic was consistently applied in subsequent setups, emphasizing the role of 𝓐𝓛𝓣𝓐’s thresholds in guiding both entries and exits. Framework The Arnaud Legoux Trend Aggregator (ALTA) combines multiple technical indicators into a single smoothed signal. It uses RSI, MACD, Bollinger Bands, Stochastic Momentum Index, and ATR. Each indicator's output is normalized to a common scale to eliminate bias and ensure consistency. These normalized values are then transformed using a hyperbolic tangent function (Tanh). The final score is refined with a custom Arnaud Legoux Moving Average (ALMA) function, which offers responsive smoothing that adapts quickly to price changes. This results in a clear signal that reacts efficiently to shifting market conditions. ⚠️ WARNING ⚠️: THIS INDICATOR, OR ANY OTHER WE (LYRO RS) PUBLISH, IS NOT FINANCIAL OR INVESTMENT ADVICE. EVERY INDICATOR SHOULD BE COMBINED WITH PRICE ACTION, FUNDAMENTALS, OTHER TECHNICAL ANALYSIS TOOLS & PROPER RISK. MANAGEMENT.
Pine Script®指標
由LyroRS提供
FVG Candle HighlighterThis indicator highlights only the true Fair Value Gap (FVG) creator candle — the middle candle in a 3-bar FVG formation — with zero clutter. 🔹 Bullish FVG: Candle is colored if price gaps above the high two bars back 🔹 Bearish FVG: Candle is colored if price gaps below the low two bars back ✨ No boxes. No zones. Just pure, visual price-action accuracy. 🔧 Powered by Pine Script v6 🧠 Based on institutional-style FVG logic 🎯 Ideal for Smart Money / ICT / Order Block strategies
Pine Script®指標
由SmellyTaz提供
TLC sessionA Professional Intraday Session Tracker with VWAP and Economic Event Integration Description This indicator provides visual tracking of major trading sessions (Asian, London, New York) combined with VWAP calculations and macroeconomic event zones. It's designed for intraday traders who need to monitor session overlaps, liquidity periods, and high-impact news events. The basic script of trading sessions was taken as a basis and refined for greater convenience. Key Features: Customizable Session Tracking: Visualize up to 3 trading sessions with adjustable time zones (supports IANA & GMT formats) Dynamic VWAP Integration: Built-in Volume-Weighted Average Price calculation Macro Event Zones: Highlights key economic announcement windows (adjustable for summer/winter time) Price Action Visualization: Displays open/close prices, session ranges, and average price levels Automatic DST Adjustment: Uses IANA timezone database for daylight savings awareness How It Works 1. Trading Session Detection Three fully configurable sessions (e.g., Asia, London, New York) Each session displays: Colored background zone Opening price (dashed line) Closing price (dashed line) Average price (dotted line) Optional label with session name 2. VWAP Calculation Standard Volume-Weighted Average Price plotted as circled line Helps identify fair value within each session 3. Macro Event Zones Special highlighted period for economic news releases Automatically adjusts for summer/winter time Default set to 1000-1200 (summer) or 0900-1100 (winter) GMT-5 (US session open) Why This Indicator is Unique Multi-Session Awareness Unlike simple session indicators, this tool: Tracks price development within each session Shows session overlaps (critical for volatility periods) Maintains separate VWAP calculations across sessions Professional-Grade Features IANA timezone support (automatic DST handling) Customizable visual elements (toggle labels, ranges, averages) Object-based architecture (clean, efficient rendering) News event integration (helps avoid trading during high-impact releases) Usage Recommendations Best Timeframes 1-minute to 1-hour charts (intraday focus) Not recommended for daily+ timeframes Trading Applications 1. Session Breakout Strategy: Trade breakouts when London/New York sessions open 2. VWAP Reversion: Fade moves that deviate too far from VWAP 3. News Avoidance: Reduce position sizing during macro event windows Visual Example Asian session (red) London session (blue) New York session (purple) Macro event zone (white) VWAP line (gold circles) The basic script of trading sessions was taken as a basis and refined for greater convenience.
Pine Script®指標
由TradersLifeCommmunity提供
1
Bitcoin Monthly Seasonality [Alpha Extract]The Bitcoin Monthly Seasonality indicator analyzes historical Bitcoin price performance across different months of the year, enabling traders to identify seasonal patterns and potential trading opportunities. This tool helps traders: Visualize which months historically perform best and worst for Bitcoin. Track average returns and win rates for each month of the year. Identify seasonal patterns to enhance trading strategies. Compare cumulative or individual monthly performance. 🔶 CALCULATION The indicator processes historical Bitcoin price data to calculate monthly performance metrics Monthly Return Calculation Inputs: Monthly open and close prices. User-defined lookback period (1-15 years). Return Types: Percentage: (monthEndPrice / monthStartPrice - 1) × 100 Price: monthEndPrice - monthStartPrice Statistical Measures Monthly Averages: ◦ Average return for each month calculated from historical data. Win Rate: ◦ Percentage of positive returns for each month. Best/Worst Detection: ◦ Identifies months with highest and lowest average returns. Cumulative Option Standard View: Shows discrete monthly performance. Cumulative View: Shows compounding effect of consecutive months. Example Calculation (Pine Script): monthReturn = returnType == "Percentage" ? (monthEndPrice / monthStartPrice - 1) * 100 : monthEndPrice - monthStartPrice calcWinRate(arr) => winCount = 0 totalCount = array.size(arr) if totalCount > 0 for i = 0 to totalCount - 1 if array.get(arr, i) > 0 winCount += 1 (winCount / totalCount) * 100 else 0.0 🔶 DETAILS Visual Features Monthly Performance Bars: ◦ Color-coded bars (teal for positive, red for negative returns). ◦ Special highlighting for best (yellow) and worst (fuchsia) months. Optional Trend Line: ◦ Shows continuous performance across months. Monthly Axis Labels: ◦ Clear month names for easy reference. Statistics Table: ◦ Comprehensive view of monthly performance metrics. ◦ Color-coded rows based on performance. Interpretation Strong Positive Months: Historically bullish periods for Bitcoin. Strong Negative Months: Historically bearish periods for Bitcoin. Win Rate Analysis: Higher win rates indicate more consistently positive months. Pattern Recognition: Identify recurring seasonal patterns across years. Best/Worst Identification: Quickly spot the historically strongest and weakest months. 🔶 EXAMPLES The indicator helps identify key seasonal patterns Bullish Seasons: Visualize historically strong months where Bitcoin tends to perform well, allowing traders to align long positions with favorable seasonality. Bearish Seasons: Identify historically weak months where Bitcoin tends to underperform, helping traders avoid unfavorable periods or consider short positions. Seasonal Strategy Development: Create trading strategies that capitalize on recurring monthly patterns, such as entering positions in historically strong months and reducing exposure during weak months. Year-to-Year Comparison: Assess how current year performance compares to historical seasonal patterns to identify anomalies or confirmation of trends. 🔶 SETTINGS Customization Options Lookback Period: Adjust the number of years (1-15) used for historical analysis. Return Type: Choose between percentage returns or absolute price changes. Cumulative Option: Toggle between discrete monthly performance or cumulative effect. Visual Style Options: Bar Display: Enable/disable and customize colors for positive/negative bars, Line Display: Enable/disable and customize colors for trend line, Axes Display: Show/hide reference axes. Visual Enhancement: Best/Worst Month Highlighting: Toggle special highlighting of extreme months, Custom highlight colors for best and worst performing months. The Bitcoin Monthly Seasonality indicator provides traders with valuable insights into Bitcoin's historical performance patterns throughout the year, helping to identify potentially favorable and unfavorable trading periods based on seasonal tendencies.
Pine Script®指標
由AlphaExtract提供
5
Compression Patterns (w/ Trend + Proximity Filter)🧠 Description: This indicator identifies high-probability price compression patterns within trending environments — a setup prized by experienced swing and day traders alike. It combines the classic NR4, NR7, 2-Bar NR, 3-Bar NR, and Inside Day formations with a powerful trend filter and proximity logic to deliver clear, focused signals. 🔍 What's Inside: ▪️ Compression Patterns The core of this tool lies in the logic of price compression. These patterns signal the market taking a breath — volatility contracts, volume dries up, and price coils like a spring. When this happens in the right context, the next move is often explosive. NR4 / NR7: Narrowest range in 4 or 7 bars — excellent for spotting the quiet before the storm. 2-Bar NR / 3-Bar NR: These identify the tightest consecutive 2 or 3-day ranges over the past 20 days — contextually rare and powerful. Inside Day: A simple but highly effective consolidation pattern, especially when it clusters around key moving averages. ▪️ Trend Filter (EMA Stack) You could say this is where most indicators fall apart — no context. This one doesn’t make that mistake. Signals only fire when the 10 EMA > 20 EMA > 50 EMA, and price is above the 20 EMA. That’s a strong, established uptrend — the only environment where breakouts are statistically favourable. Why? Because trend following works. It may not give you fixed daily returns, but it’s the only strategy with theoretically infinite profit potential. You risk little, trade less, and position yourself for rare but massive moves. That’s the edge. ▪️ Proximity Filter (1 ATR to EMA) We’ve added another layer of discipline. Signals only fire when price is: Within 1 ATR of the 10 EMA (if price is above it), or Within 1 ATR of the 20 EMA (if price is below the 10 EMA) This ensures you’re not chasing. You’re waiting for tight, controlled pullbacks into dynamic support — exactly where institutions add size, not exit. ⚙️ Fully Customisable: Toggle visibility of each pattern Custom colours and transparency for label & background Adjustable ATR length and multiplier Change label text if needed (useful for translations or tweaks) 🎯 Ideal Use Case: Swing trading off the daily chart Day trading with VWAP/MACD filters (in alternate versions) Supplementing price action strategies 🔚 Final Word: This isn’t an “everything scanner.” It’s a discerning sniper scope for traders who wait patiently for clean trends, tight consolidations, and perfect proximity — then strike.
Pine Script®指標
由LordRobrecht提供
Triad Macro Gauge__________________________________________________________________________________ Introduction __________________________________________________________________________________ The Triad Macro Gauge (TMG) is designed to provide traders with a comprehensive view of the macroeconomic environment impacting financial markets. By synthesizing three critical market signals— VIX (volatility) , Credit Spreads (credit risk) , and the Stocks/Bonds Ratio (SPY/TLT) —this indicator offers a probabilistic assessment of market sentiment, helping traders identify bullish or bearish macro conditions. Holistic Macro Analysis: Combines three distinct macroeconomic indicators for multi-dimensional insights. Customization & Flexibility: Adjust weights, thresholds, lookback periods, and visualization styles. Visual Clarity: Dynamic table, color-coded plots, and anomaly markers for quick interpretation. Fully Consistent Scores: Identical values across all timeframes (4H, daily, weekly). Actionable Signals: Clear bull/bear thresholds and volatility spike detection. Optimized for timeframes ranging from 4 hour to 1 week , the TMG equips swing traders and long-term investors with a robust tool to navigate macroeconomic trends. __________________________________________________________________________________ Key Indicators __________________________________________________________________________________ VIX (CBOE:VIX): Measures market volatility (negatively weighted for bearish signals). Credit Spreads (FRED:BAMLH0A0HYM2EY): Tracks high-yield bond spreads (negatively weighted). Stocks/Bonds Ratio (SPY/TLT): Evaluates equity sentiment relative to treasuries (positively weighted). __________________________________________________________________________________ Originality and Purpose __________________________________________________________________________________ The TMG stands out by combining VIX, Credit Spreads, and SPY/TLT into a single, cohesive indicator. Its unique strength lies in its fully consistent scores across all timeframes, a critical feature for multi-timeframe analysis. Purpose: To empower traders with a clear, actionable tool to: Assess macro conditions Spot market extremes Anticipate reversals __________________________________________________________________________________ How It Works __________________________________________________________________________________ VIX Z-Score: Measures volatility deviations (inverted for bearish signals). Credit Z-Score: Tracks credit spread deviations (inverted for bearish signals). Ratio Z-Score: Assesses SPY/TLT strength (positively weighted for bullish signals). TMG Score: Weighted composite of z-scores (bullish > +0.30, bearish < -0.30). Anomaly Detection: Identifies extreme volatility spikes (z-score > 3.0). All calculations are performed using daily data, ensuring that scores remain consistent across all chart timeframes. __________________________________________________________________________________ Visualization & Interpretation __________________________________________________________________________________ The script visualizes data through: A dynamic table displaying TMG Score , VIX Z, Credit Z, Ratio Z, and Anomaly status, with color gradients (green for positive, red for negative, gray for neutral/N/A). A plotted TMG Score in Area, Histogram, or Line mode , with adaptive opacity for clarity. Bull/Bear thresholds as horizontal lines (+0.30/-0.30) to signal market conditions. Anomaly markers (orange circles) for volatility spikes. Crossover signals (triangles) for bull/bear threshold crossings. The table provides an immediate snapshot of macro conditions, while the plot offers a visual trend analysis. All values are consistent across timeframes, simplifying multi-timeframe analysis. __________________________________________________________________________________ Script Parameters __________________________________________________________________________________ Extensive customization options: Symbol Selection: Customize VIX, Credit Spreads, SPY, TLT symbols Core Parameters: Adjust lookback periods, weights, smoothing Anomaly Detection: Enable/disable with custom thresholds Visual Style: Choose display modes and colors __________________________________________________________________________________ Conclusion __________________________________________________________________________________ The Triad Macro Gauge by Ox_kali is a cutting-edge tool for analyzing macroeconomic trends. By integrating VIX, Credit Spreads, and SPY/TLT, TMG provides traders with a clear, consistent, and actionable gauge of market sentiment. Recommended for: Swing traders and long-term investors seeking to navigate macro-driven markets. __________________________________________________________________________________ Credit & Inspiration __________________________________________________________________________________ Special thanks to Caleb Franzen for his pioneering work on macroeconomic indicator blends – his research directly inspired the core framework of this tool. __________________________________________________________________________________ Notes & Disclaimer __________________________________________________________________________________ This is the initial public release (v2.5.9). Future updates may include additional features based on user feedback. Please note that the Triad Macro Gauge is not a guarantee of future market performance and should be used with proper risk management. Past performance is not indicative of future results.
Pine Script®指標
由Ox_kali提供
Aurora Flow Oscillator [QuantAlgo]The Aurora Flow Oscillator is an advanced momentum-based technical indicator designed to identify market direction, momentum shifts, and potential reversal zones using adaptive filtering techniques. It visualizes price momentum through a dynamic oscillator that quantifies trend strength and direction, helping traders and investors recognize momentum shifts and trading opportunities across various timeframes and asset class. 🟢 Technical Foundation The Aurora Flow Oscillator employs a sophisticated mathematical approach with adaptive momentum filtering to analyze market conditions, including: Price-Based Momentum Calculation: Calculates logarithmic price changes to measure the rate and magnitude of market movement Adaptive Momentum Filtering: Applies an advanced filtering algorithm to smooth momentum calculations while preserving important signals Acceleration Analysis: Incorporates momentum acceleration to identify shifts in market direction before they become obvious Signal Normalization: Automatically scales the oscillator output to a range between -100 and 100 for consistent interpretation across different market conditions The indicator processes price data through multiple filtering stages, applying mathematical principles including exponential smoothing with adaptive coefficients. This creates an oscillator that dynamically adjusts to market volatility while maintaining responsiveness to genuine trend changes. 🟢 Key Features & Signals 1. Momentum Flow and Extreme Zone Identification The oscillator presents market momentum through an intuitive visual display that clearly indicates both direction and strength: Above Zero: Indicates positive momentum and potential bullish conditions Below Zero: Indicates negative momentum and potential bearish conditions Slope Direction: The angle and direction of the oscillator provide immediate insight into momentum strength Zero Line Crossings: Signal potential trend changes and new directional momentum The indicator also identifies potential overbought and oversold market conditions through extreme zone markings: Upper Zone (>50): Indicates strong bullish momentum that may be approaching exhaustion Lower Zone (<-50): Indicates strong bearish momentum that may be approaching exhaustion Extreme Boundaries (±95): Mark potentially unsustainable momentum levels where reversals become increasingly likely These zones are displayed with gradient intensity that increases as the oscillator moves toward extremes, helping traders and investors: → Identify potential reversal zones → Determine appropriate entry and exit points → Gauge overall market sentiment strength 2. Customizable Trading Style Presets The Aurora Flow Oscillator offers pre-configured settings for different trading approaches: Default (80,150): Balanced configuration suitable for most trading and investing situations. Scalping (5,80): Highly responsive settings for ultra-short-term trades. Generates frequent signals and catches quick price movements. Best for 1-15min charts when making many trades per day. Day Trading (8,120): Optimized for intraday movements with faster response than default settings while maintaining reasonable signal quality. Ideal for 5-60min or 4h-12h timeframes. Swing Trading (10,200): Designed for multi-day positions with stronger noise filtering. Focuses on capturing larger price swings while avoiding minor fluctuations. Works best on 1-4h and daily charts. Position Trading (14,250): For longer-term position traders/investors seeking significant market trends. Reduces false signals by heavily filtering market noise. Ideal for daily or even weekly charts. Trend Following (16,300): Maximum smoothing that prioritizes established directional movements over short-term fluctuations. Best used on daily and weekly charts, but can also be used for lower timeframe trading. Countertrend (7,100): Tuned to detect potential reversals and exhaustion points in trends. More sensitive to momentum shifts than other presets. Effective on 15min-4h charts, as well as daily and weekly charts. Each preset automatically adjusts internal parameters for optimal performance in the selected trading context, providing flexibility across different market approaches without requiring complex manual configuration. 🟢 Practical Usage Tips 1/ Trend Analysis and Interpretation → Direction Assessment: Evaluate the oscillator's position relative to zero to determine underlying momentum bias → Momentum Strength: Measure the oscillator's distance from zero within the -100 to +100 range to quantify momentum magnitude → Trend Consistency: Monitor the oscillator's path for sustained directional movement without frequent zero-line crossings → Reversal Detection: Watch for oscillator divergence from price and deceleration of movement when approaching extreme zones 2/ Signal Generation Strategies Depending on your trading approach, multiple signal strategies can be employed: Trend Following Signals: Enter long positions when the oscillator crosses above zero Enter short positions when the oscillator crosses below zero Add to positions on pullbacks while maintaining the overall trend direction Countertrend Signals: Look for potential reversals when the oscillator reaches extreme zones (±95) Enter contrary positions when momentum shows signs of exhaustion Use oscillator divergence with price as additional confirmation Momentum Shift Signals: Enter positions when oscillator changes direction after establishing a trend Exit positions when oscillator direction reverses against your position Scale position size based on oscillator strength percentage 3/ Timeframe Optimization The indicator can be effectively applied across different timeframes with these considerations: Lower Timeframes (1-15min): Use Scalping or Day Trading presets Focus on quick momentum shifts and zero-line crossings Be cautious of noise in extreme market conditions Medium Timeframes (30min-4h): Use Default or Swing Trading presets Look for established trends and potential reversal zones Combine with support/resistance analysis for entry/exit precision Higher Timeframes (Daily+): Use Position Trading or Trend Following presets Focus on major trend identification and long-term positioning Use extreme zones for position management rather than immediate reversals 🟢 Pro Tips Price Momentum Period: → Lower values (5-7) increase sensitivity to minor price fluctuations but capture more market noise → Higher values (10-16) emphasize sustained momentum shifts at the cost of delayed response → Adjust based on your timeframe (lower for shorter timeframes, higher for longer timeframes) Oscillator Filter Period: → Lower values (80-120) produce more frequent directional changes and earlier response to momentum shifts → Higher values (200-300) filter out shorter-term fluctuations to highlight dominant market cycles → Match to your typical holding period (shorter holding time = lower filter values) Multi-Timeframe Analysis: → Compare oscillator readings across different timeframes for confluence → Look for alignment between higher and lower timeframe signals → Use higher timeframe for trend direction, lower for earlier entries Volatility-Adaptive Trading: → Use oscillator strength to adjust position sizing (stronger = larger) → Consider reducing exposure when oscillator reaches extreme zones → Implement tighter stops during periods of oscillator acceleration Combination Strategies: → Pair with volume indicators for confirmation of momentum shifts → Use with support/resistance levels for strategic entry and exit points → Combine with volatility indicators for comprehensive market context
Pine Script®指標
由QuantAlgo提供
8
Advanced Momentum Scanner [QuantAlgo]The Advanced Momentum Scanner is a sophisticated technical indicator designed to identify market momentum and trend direction using multiple exponential moving averages (EMAs), momentum metrics, and adaptive visualization techniques. It is particularly valuable for those looking to identify trading and investing opportunities based on trend changes and momentum shifts across any market and timeframe. 🟢 Technical Foundation The Advanced Momentum Scanner utilizes a multi-layered approach with four different EMA periods to identify market momentum and trend direction: Ultra-Fast EMA for quick trend changes detection (default: 5) Fast EMA for short-term trend analysis (default: 10) Mid EMA for intermediate confirmation (default: 30) Slow EMA for long-term trend identification (default: 100) For momentum detection, the indicator implements a Rate of Change (RoC) calculation to measure price momentum over a specified period. It further enhances analysis by incorporating RSI readings for overbought/oversold conditions, volatility measurements through ATR, and optional volume confirmation. When these elements align, the indicator generates trading signals based on the selected sensitivity mode (Conservative, Balanced, or Aggressive). 🟢 Key Features & Signals 1. Multi-Period Trend Identification The indicator combines multiple EMAs of different lengths to provide comprehensive trend analysis within the same timeframe, displaying the information through color-coded visual elements on the chart. When an uptrend is detected, chart elements are colored with the bullish theme color (default: green/teal). Similarly, when a downtrend is detected, chart elements are colored with the bearish theme color (default: red). During neutral or indecisive periods, chart elements are colored with a neutral gray color, providing clear visual distinction between trending and non-trending market conditions. This visualization provides immediate insights into underlying trend direction without requiring separate indicators, helping traders and investors quickly identify the market's current state. 2. Trend Strength Information Panel The trend panel operates in three different sensitivity modes (Conservative, Aggressive, and Balanced), each affecting how the indicator processes and displays market information. The Conservative mode prioritizes trend sustainability over frequency, showing only strong trend movements with high probability. The Aggressive mode detects early trend changes, providing more frequent signals but potentially more false positives. The Balanced mode offers a middle ground with moderate signal frequency and reliability. Regardless of the selected mode, the panel displays: Current trend direction (UPTREND, DOWNTREND, or NEUTRAL) Trend strength percentage (0-100%) Early detection signals when applicable The active sensitivity mode This comprehensive approach helps traders and investors: → Assess the strength of current market trends → Identify early potential trend changes before full confirmation → Make more informed trading and investing decisions based on trend context 3. Customizable Visualization Settings This indicator offers extensive visual customization options to suit different trading styles and preferences: Display options: → Fully customizable uptrend, downtrend, and neutral colors → Color-coded price bars showing trend direction → Dynamic gradient bands visualizing potential trend channels → Optional background coloring based on trend intensity → Adjustable transparency levels for all visual elements These visualization settings can be fine-tuned through the indicator's interface, allowing traders and investors to create a personalized chart environment that emphasizes the most relevant information for their strategy. The indicator also features a comprehensive alert system with notifications for: New trend formations (uptrend, downtrend, neutral) Early trend change signals Momentum threshold crossovers Other significant market conditions Alerts can be customized and delivered through TradingView's notification system, making it easy to stay informed of important market developments even when you are away from the charts. 🟢 Practical Usage Tips → Trend Analysis and Interpretation: The indicator visualizes trend direction and strength directly on the chart through color-coding and the information panel, allowing traders and investors to immediately identify the current market context. This information helps in assessing the potential for continuation or reversal. → Signal Generation Strategies: The indicator generates potential trading signals based on trend direction, momentum confirmation, and selected sensitivity mode. Users can choose between Conservative (fewer but more reliable signals), Balanced (moderate approach), or Aggressive (more frequent but potentially less reliable signals). → Multi-Period Trend Assessment: Through its layered EMA approach, the indicator enables users to understand trend conditions across different lookback periods within the same timeframe. This helps in identifying the dominant trend and potential turning points. 🟢 Pro Tips Adjust EMA periods based on your timeframe: → Lower values for shorter timeframes and more frequent signals → Higher values for higher timeframes and more reliable signals Fine-tune sensitivity mode based on your trading style: → "Conservative" for position trading/long-term investing and fewer false signals → "Balanced" for swing trading/medium-term investing with moderate signal frequency → "Aggressive" for scalping/day trading and catching early trend changes Look for confluence between components: → Strong trend strength percentage and direction in the information panel → Overall market context aligning with the expected direction Use for multiple trading approaches: → Trend following during strong momentum periods → Counter-trend trading at band extremes during overextension → Early trend change detection with sensitivity adjustments → Stop loss placement using dynamic bands Combine with: → Volume indicators for additional confirmation → Support/resistance analysis for strategic entry/exit points → Multiple timeframe analysis for broader market context
Pine Script®指標
由QuantAlgo提供
15