开始

指标和策略

Eig 0000This indicator draws Buy and Sell signals on the current candlestick, based on a complete reversal pattern of the previous three Heikin Ashi (HA) candlesticks: 🟢 Buy Entry (Reversal to Long): A buy entry signal when the trend changes from bearish (downtrend) to bullish (uptrend). Pattern: 2 Red HA Bars → followed by 1 Green HA Bar 🔴 Sell Entry (Reversal to Short / Exit Long): A sell entry/reversal signal when the trend changes from bullish (uptrend) to bearish (downtrend). Pattern: 2 Green HA Bars → followed by 1 Red HA Bar 💡 How to Use This indicator is suitable for use as a confirmation tool: Entry/Exit: Use the triangle signals (Buy/Sell) as entry/exit points.
Pine Script®指标
由Eig-Lapnapanon提供
特典インジケーター　（ボリンジャーバンド+移動平均線）BTCやSP500向けのチャート解析ツールです。 - ボリンジャーバンド（オレンジ上下線、水色中央線） - EMA5（青線）、EMA25（黄色線）、EMA200（赤線） 使い方のポイント - トレンド判定: EMA200（赤）より上なら上昇基調、下なら下降基調が優勢。 - 短中期の勢い: EMA5（青）とEMA25（黄）のゴールデンクロス／デッドクロスで勢いの変化を確認。 - ボラティリティと逆張り: ボリンジャーバンドの上限／下限タッチは伸びの継続か反転の初動かを、中央線（基準・水色）復帰でフォロー確認。 - 時間軸: 1時間～4時間は短期、日足は中期のトレンド確認に適合。複数時間軸で整合性を取ると精度が上がります。 ツールの解説 ボリンジャーバンド（Bollinger Bands） ボリンジャーバンドは、20期間の単純移動平均（SMA）を中央線とし、その上下に標準偏差×2のバンドを配置します。 - 上限バンド：相場の上振れが過熱している可能性を示すレジスタンスライン - 下限バンド：相場の下振れが過冷却している可能性を示すサポートライン - バンド幅の拡大：ボラティリティ上昇局面を示唆 - バンド幅の収縮：レンジ相場や転換前の低ボラティリティを示唆 --------------------- EMA5（Exponential Moving Average 5） EMA5は直近5本の価格により重み付けされた指数移動平均です。 - 非常に短期的な価格の変化を捉え、エントリーや還流のタイミングに敏感 - EMA25とのクロスオーバーで、短期モメンタムの変化を判断 EMA25（Exponential Moving Average 25） EMA25は中期的なトレンドを表す指数移動平均です。 - EMA5との位置関係でトレンドの強さや方向性を評価 - 価格がEMA25を上回れば短期的な買い優勢、下回れば売り優勢 EMA200（Exponential Moving Average 200） EMA200は長期トレンドの大局を示す指数移動平均です。 - プロのトレーダーにも重要視されるサポート／レジスタンスライン - 価格がEMA200を上回ると長期的に強気、市場全体のセンチメント確認に利用 Chart Analysis Tool for BTC and S&P500 - Bollinger Bands (orange upper/lower lines, light blue middle line) - EMA5 (blue line), EMA25 (yellow line), EMA200 (red line)
Pine Script®指标
由N-1111提供
Cycle VTLs – with Scaled Channels "Cycle VTLs – with Scaled Channels" for TradingView plots Valid Trend Lines (VTLs) based on Hurst's Cyclic Theory, connecting consecutive price peaks (downward VTLs) or troughs (upward VTLs) for specific cycles. It uses up to eight Simple Moving Averages (SMAs) (default lengths: 25, 50, 100, 200, 400, 800, 1600, 1600 bars) with customizable envelope bands to detect pivots and draw VTLs, enhanced by optional parallel channels scaled to envelope widths. Key Features: Valid Trend Lines (VTLs): Upward VTLs: Connect consecutive cycle troughs, sloping upward. Downward VTLs: Connect consecutive cycle peaks, sloping downward. Hurst’s Rules: Connects consecutive cycle peaks/troughs. Must not cross price between points. Downward VTLs: No longer-cycle trough between peaks. Invalid if slope is incorrect (upward VTL not up, downward VTL not down). Expired VTLs: Historical VTLs (crossed by price) from up to three prior cycle waves. SMA Cycles: Eight customizable SMAs with envelope bands (offset × multiplier) for pivot detection. Channels: Optional parallel lines around VTLs, width set by channelFactor × envelope half-width. Pivot Detection: Fractal-based (pivotPeriod) on envelopes or price (usePriceFallback). Customization: Toggle cycles, VTLs, and channels. Adjust SMA lengths, offsets, colors, line styles, and widths. Enable centered envelopes, slope filtering, and limit stored lines (maxStoredLines). Usage in Hurst’s Cyclic TheoryAnalysis: VTLs identify cycle trends; upward VTLs suggest bullish momentum, downward VTLs bearish. Price crossing below an upward VTL confirms a peak in the next longer cycle; crossing above a downward VTL confirms a trough. Trading: Buy: Price bounces off upward VTL or breaks above downward VTL. Sell: Price rejects downward VTL or breaks below upward VTL. Use channels for support/resistance, breakouts, or stop-loss/take-profit levels. Workflow: Add indicator on TradingView. Enable desired cycles (e.g., 50-bar, 1600-bar), adjust pivotPeriod, channelFactor, and showOnlyCorrectSlope. Monitor VTL crossings and channels for trade signals. NotesOptimized for performance with line limits. Ideal for cycle-based trend analysis across markets (stocks, forex, crypto). Debug labels show pivot counts and VTL status. This indicator supports Hurst’s Cyclic Theory for trend identification and trading decisions with flexible, cycle-based VTLs and channels. Use global variable to scale to chart. best results use factors of 2 and double. try 2, 4, 8, 16...128, 256, etc until price action fits 95% in smallest cycle.
Pine Script®指标
由surfchaser提供
DeepSeek_Multi-Timeframe EMA Strategy BTC_1HStrategy Description: "DeepSeek_Multi-Timeframe EMA Strategy BTC_1H" This is a trading strategy for TradingView that uses a multi-timeframe Exponential Moving Average (EMA) crossover system to generate trade signals on a 1-hour Bitcoin (BTC) chart. Core Logic & Trading Rules The strategy's logic is based on the alignment of two different EMA timeframes: Higher Timeframe (HTF) Trend Filter: A slower EMA (default: 50) is calculated on a higher timeframe (default: 1D). This defines the primary, long-term trend. Lower Timeframe (LTF) Signal Trigger: A faster EMA (default: 20) is calculated on the current chart timeframe (1H). This is used for precise entry and exit timing. Long Entry Conditions (All must be true): Trend Alignment: The LTF EMA (20) must be above the HTF EMA (50). Price Position: The current closing price must be above the HTF EMA (50), confirming the bullish trend. Entry Trigger: The closing price must cross above the LTF EMA (20). Exit Condition (for Long Positions): The strategy closes any open long position when: The LTF EMA (20) is below the HTF EMA (50) (counter-trend), and The closing price crosses below the LTF EMA (20). Key Features & Configuration Strategy Configuration: It uses a strategy script, which can perform backtesting and forward-testing. Initial Capital: $1,000. Order Sizing: 100% of equity per trade (default_qty_value = 100). Pyramiding: Only 1 active position is allowed at a time (pyramiding = 1). Commission: 0.1% is factored into calculations. Order Execution: Orders are executed at the close of the 1-hour bar where the signal appears (process_orders_on_close=true). Visualization: The HTF EMA (50) is plotted as a thick purple line. The LTF EMA (20) is plotted as an orange line. Green upward triangles below the bar indicate Long Entry signals. Red downward triangles above the bar indicate Exit (Short) signals. Summary In essence, this strategy aims to "buy the dip" within a larger uptrend. It waits for the higher timeframe to be bullish, and then enters on a short-term pullback to the faster moving average. It exits the trade when the shorter-term trend turns bearish relative to the longer-term trend. It does not take short/sell positions; it only goes long or is out of the market.
Pine Script®策略
由Benjamin_1706提供
1
HTF Candle Overlay - PO3HTF Candle Overlay Script Description This Pine Script indicator creates a visual overlay of higher timeframe (HTF) candles on your chart. It's a useful tool for multi-timeframe analysis that allows you to see higher timeframe price action context directly on your current chart without having to switch between timeframes. Main Purpose The primary purpose of this indicator is to display candles from a higher timeframe (like daily or weekly) directly on your lower timeframe chart (like 5-minute or hourly). This provides crucial context about the larger market structure while you're analyzing shorter-term price movements. Key Features Higher Timeframe Selection: You can choose any higher timeframe from the available options (1-minute to monthly), allowing you to view price action from any timeframe higher than your current chart. Customizable Appearance: Control the number of HTF candles displayed (1-10) Adjust the spacing between the candles and current price Modify candle width for better visibility Customize colors for bullish and bearish candles, wicks, and borders Real-time Updates: The current (ongoing) HTF candle updates in real-time as new price data comes in, showing you how the higher timeframe candle is developing. Time Remaining Display: An optional label shows the current HTF period and how much time remains until the candle closes, helping you time your entries and exits. Visual Warnings: The script warns you if you select a timeframe that matches your current chart timeframe. How It Works Data Retrieval: The script fetches both the current developing candle and historical candles from the selected higher timeframe using request.security() calls. Candle Processing: It stores candle data (open, high, low, close, and time) in arrays Handles both the current developing candle and past completed candles Updates the current candle in real-time as new price data comes in Visual Rendering: Draws candle bodies as boxes with appropriate bullish/bearish colors Creates wicks as lines extending from the candle bodies Places candles horizontally on your chart with proper spacing Timing Information: Calculates and displays the remaining time until the current higher timeframe candle closes Formats the time remaining in a user-friendly way (days, hours, minutes) Practical Applications Context for Trading Decisions: See where price is in relation to higher timeframe support/resistance levels. Entry and Exit Timing: Time your entries and exits based on higher timeframe candle closings. Trend Alignment: Ensure your trades align with the higher timeframe trend direction. Support/Resistance Identification: Easily identify key price levels from higher timeframes. Candle Pattern Recognition: Spot important higher timeframe candlestick patterns without switching timeframes. This indicator essentially brings the higher timeframe context directly to your current chart, allowing for more informed trading decisions that consider both short-term and long-term market structures simultaneously.
Pine Script®指标
由DrodzCip提供
MNQ TopStep 50K | Ultra Quality v3.0MNQ TopStep 50K | Ultra Quality v3.0 - Publish Summary📊 OverviewA professional-grade trading indicator designed specifically for MNQ futures traders using TopStep funded accounts. Combines 7 technical confirmations with 5 advanced safety filters to deliver high-quality trade signals while managing drawdown risk.🎯 Key FeaturesCore Signal System 7-Point Confirmation: VWAP, EMA crossovers, 15-min HTF trend, MACD, RSI, ADX, and Volume Signal Grading: Each signal is rated A+ through D based on 7 quality factors Quality Threshold: Adjustable minimum grade requirement (A+, A, B, C, D) Advanced Safety Filters (Customizable) Mean Reversion Filter - Prevents chasing extended moves beyond VWAP bands ATR Spike Filter - Avoids trading during extreme volatility events EMA Spacing Filter - Ensures proper trend separation (optional) Momentum Filter - Requires consecutive directional bars (optional) Multi-Timeframe Confirmation - Aligns with 15-min trend (optional) TopStep Risk Management Real-time drawdown tracking Position sizing calculator based on remaining cushion Daily loss limit monitoring Consecutive loss protection Max trades per day limiter Visual Components VWAP with 1σ, 2σ, 3σ bands EMA 9/21 with cloud fill 15-min EMA 50 for HTF trend Comprehensive metrics dashboard Risk management panel Filter status panel Detailed trade labels with entry, stops, and targets ⚙️ Default Settings (Balanced for Regular Signals)Technical Indicators Fast EMA: 9 | Slow EMA: 21 | HTF EMA: 50 (15-min) MACD: 10/22/9 RSI: 14 period | Thresholds: 52 (buy) / 48 (sell) ADX: 14 period | Minimum: 20 ATR: 14 period | Stop: 2x | TP1: 2x | TP2: 3x Volume: 1.2x average required Session Settings Default: 9:30 AM - 11:30 AM ET (adjustable) Avoids first 15 minutes after market open Customizable trading hours Safety Filters (Default Configuration) ✅ Mean Reversion: Enabled (2.5σ max from VWAP) ✅ ATR Spike: Enabled (2.0x threshold) ❌ EMA Spacing: Disabled (can enable for quality) ❌ Momentum: Disabled (can enable for quality) ❌ MTF Confirmation: Disabled (can enable for quality) Risk Controls Minimum Signal Quality: C (adjustable to A+ for fewer/better signals) Min Bars Between Signals: 10 Max Trades Per Day: 5 Stop After Consecutive Losses: 2 📈 Expected PerformanceWith Default Settings: Signals per week: 10-15 trades Estimated win rate: 55-60% Risk-Reward: 1:2 (TP1) and 1:3 (TP2) With Aggressive Settings (Min Quality = D, All Filters Off): Signals per week: 20-25 trades Estimated win rate: 50-55% With Conservative Settings (Min Quality = A, All Filters On): Signals per week: 3-5 trades Estimated win rate: 65-70% 🚀 How to UseBasic Setup: Add indicator to MNQ 5-minute chart Adjust TopStep account settings in inputs Set your risk per trade percentage (default: 0.5%) Configure trading session hours Set minimum signal quality (Start with C for balanced results) Signal Interpretation: Green Triangle (BUY): Long signal - all confirmations aligned Red Triangle (SELL): Short signal - all confirmations aligned Label Details: Shows entry, stop loss, take profit levels, position size, and signal grade Signal Grade: A+ = Elite (6-7 points) | A = Strong (5) | B = Good (4) | C = Fair (3) Dashboard Monitoring: Top Right: Technical metrics and market conditions Top Left: Filter status (which filters are passing/blocking) Bottom Right: TopStep risk metrics and position sizing ⚡ Customization TipsFor More Signals: Lower "Minimum Signal Quality" to D Decrease ADX threshold to 18-20 Lower RSI thresholds to 50/50 Reduce Volume multiplier to 1.1x Disable additional filters For Higher Quality (Fewer Signals): Raise "Minimum Signal Quality" to A or A+ Increase ADX threshold to 25-30 Enable all 5 advanced filters Tighten VWAP distance to 2.0σ Increase momentum requirement to 3-4 bars For TopStep Compliance: Adjust "Max Total Drawdown" and "Daily Loss Limit" to match your account Update "Already Used Drawdown" daily Monitor the Risk Panel for cushion remaining Use recommended contract sizing 🛡️ Risk DisclaimerIMPORTANT: This indicator is for educational and informational purposes only. Past performance does not guarantee future results All trading involves substantial risk of loss Use proper risk management and position sizing Test thoroughly in paper trading before live use The indicator does not guarantee profitable trades Adjust settings based on your risk tolerance and trading style Always comply with your broker's and TopStep's rules
Pine Script®指标
由elivgorelick提供
Stochastic Enhanced [DCAUT]█ Stochastic Enhanced 📊 ORIGINALITY & INNOVATION The Stochastic Enhanced indicator builds upon George Lane's classic momentum oscillator (developed in the late 1950s) by providing comprehensive smoothing algorithm flexibility. While traditional implementations limit users to Simple Moving Average (SMA) smoothing, this enhanced version offers 21 advanced smoothing algorithms, allowing traders to optimize the indicator's characteristics for different market conditions and trading styles. Key Improvements: Extended from single SMA smoothing to 21 professional-grade algorithms including adaptive filters (KAMA, FRAMA), zero-lag methods (ZLEMA, T3), and advanced digital filters (Kalman, Laguerre) Maintains backward compatibility with traditional Stochastic calculations through SMA default setting Unified smoothing algorithm applies to both %K and %D lines for consistent signal processing characteristics Enhanced visual feedback with clear color distinction and background fill highlighting for intuitive signal recognition Comprehensive alert system covering crossovers and zone entries for systematic trade management Differentiation from Traditional Stochastic: Traditional Stochastic indicators use fixed SMA smoothing, which introduces consistent lag regardless of market volatility. This enhanced version addresses the limitation by offering adaptive algorithms that adjust to market conditions (KAMA, FRAMA), reduce lag without sacrificing smoothness (ZLEMA, T3, HMA), or provide superior noise filtering (Kalman Filter, Laguerre filters). The flexibility helps traders balance responsiveness and stability according to their specific needs. 📐 MATHEMATICAL FOUNDATION Core Stochastic Calculation: The Stochastic Oscillator measures the position of the current close relative to the high-low range over a specified period: Step 1: Raw %K Calculation %K_raw = 100 × (Close - Lowest Low) / (Highest High - Lowest Low) Where: Close = Current closing price Lowest Low = Lowest low over the %K Length period Highest High = Highest high over the %K Length period Result ranges from 0 (close at period low) to 100 (close at period high) Step 2: Smoothed %K Calculation %K = MA(%K_raw, K Smoothing Period, MA Type) Where: MA = Selected moving average algorithm (SMA, EMA, etc.) K Smoothing = 1 for Fast Stochastic, 3+ for Slow Stochastic Traditional Fast Stochastic uses %K_raw directly without smoothing Step 3: Signal Line %D Calculation %D = MA(%K, D Smoothing Period, MA Type) Where: %D acts as a signal line and moving average of %K D Smoothing typically set to 3 periods in traditional implementations Both %K and %D use the same MA algorithm for consistent behavior Available Smoothing Algorithms (21 Options): Standard Moving Averages: SMA (Simple): Equal-weighted average, traditional default, consistent lag characteristics EMA (Exponential): Recent price emphasis, faster response to changes, exponential decay weighting RMA (Rolling/Wilder's): Smoothed average used in RSI, less reactive than EMA WMA (Weighted): Linear weighting favoring recent data, moderate responsiveness VWMA (Volume-Weighted): Incorporates volume data, reflects market participation intensity Advanced Moving Averages: HMA (Hull): Reduced lag with smoothness, uses weighted moving averages and square root period ALMA (Arnaud Legoux): Gaussian distribution weighting, minimal lag with good noise reduction LSMA (Least Squares): Linear regression based, fits trend line to data points DEMA (Double Exponential): Reduced lag compared to EMA, uses double smoothing technique TEMA (Triple Exponential): Further lag reduction, triple smoothing with lag compensation ZLEMA (Zero-Lag Exponential): Lag elimination attempt using error correction, very responsive TMA (Triangular): Double-smoothed SMA, very smooth but slower response Adaptive & Intelligent Filters: T3 (Tilson T3): Six-pass exponential smoothing with volume factor adjustment, excellent smoothness FRAMA (Fractal Adaptive): Adapts to market fractal dimension, faster in trends, slower in ranges KAMA (Kaufman Adaptive): Efficiency ratio based adaptation, responds to volatility changes McGinley Dynamic: Self-adjusting mechanism following price more accurately, reduced whipsaws Kalman Filter: Optimal estimation algorithm from aerospace engineering, dynamic noise filtering Advanced Digital Filters: Ultimate Smoother: Advanced digital filter design, superior noise rejection with minimal lag Laguerre Filter: Time-domain filter with N-order implementation, adjustable lag characteristics Laguerre Binomial Filter: 6-pole Laguerre filter, extremely smooth output for long-term analysis Super Smoother: Butterworth filter implementation, removes high-frequency noise effectively 📊 COMPREHENSIVE SIGNAL ANALYSIS Absolute Level Interpretation (%K Line): %K Above 80: Overbought condition, price near period high, potential reversal or pullback zone, caution for new long entries %K in 70-80 Range: Strong upward momentum, bullish trend confirmation, uptrend likely continuing %K in 50-70 Range: Moderate bullish momentum, neutral to positive outlook, consolidation or mild uptrend %K in 30-50 Range: Moderate bearish momentum, neutral to negative outlook, consolidation or mild downtrend %K in 20-30 Range: Strong downward momentum, bearish trend confirmation, downtrend likely continuing %K Below 20: Oversold condition, price near period low, potential bounce or reversal zone, caution for new short entries Crossover Signal Analysis: %K Crosses Above %D (Bullish Cross): Momentum shifting bullish, faster line overtakes slower signal, consider long entry especially in oversold zone, strongest when occurring below 20 level %K Crosses Below %D (Bearish Cross): Momentum shifting bearish, faster line falls below slower signal, consider short entry especially in overbought zone, strongest when occurring above 80 level Crossover in Midrange (40-60): Less reliable signals, often in choppy sideways markets, require additional confirmation from trend or volume analysis Multiple Failed Crosses: Indicates ranging market or choppy conditions, reduce position sizes or avoid trading until clear directional move Advanced Divergence Patterns (%K Line vs Price): Bullish Divergence: Price makes lower low while %K makes higher low, indicates weakening bearish momentum, potential trend reversal upward, more reliable when %K in oversold zone Bearish Divergence: Price makes higher high while %K makes lower high, indicates weakening bullish momentum, potential trend reversal downward, more reliable when %K in overbought zone Hidden Bullish Divergence: Price makes higher low while %K makes lower low, indicates trend continuation in uptrend, bullish trend strength confirmation Hidden Bearish Divergence: Price makes lower high while %K makes higher high, indicates trend continuation in downtrend, bearish trend strength confirmation Momentum Strength Analysis (%K Line Slope): Steep %K Slope: Rapid momentum change, strong directional conviction, potential for extended moves but also increased reversal risk Gradual %K Slope: Steady momentum development, sustainable trends more likely, lower probability of sharp reversals Flat or Horizontal %K: Momentum stalling, potential reversal or consolidation ahead, wait for directional break before committing %K Oscillation Within Range: Indicates ranging market, sideways price action, better suited for range-trading strategies than trend following 🎯 STRATEGIC APPLICATIONS Mean Reversion Strategy (Range-Bound Markets): Identify ranging market conditions using price action or Bollinger Bands Wait for Stochastic to reach extreme zones (above 80 for overbought, below 20 for oversold) Enter counter-trend position when %K crosses %D in extreme zone (sell on bearish cross above 80, buy on bullish cross below 20) Set profit targets near opposite extreme or midline (50 level) Use tight stop-loss above recent swing high/low to protect against breakout scenarios Exit when Stochastic reaches opposite extreme or %K crosses %D in opposite direction Trend Following with Momentum Confirmation: Identify primary trend direction using higher timeframe analysis or moving averages Wait for Stochastic pullback to oversold zone (<20) in uptrend or overbought zone (>80) in downtrend Enter in trend direction when %K crosses %D confirming momentum shift (bullish cross in uptrend, bearish cross in downtrend) Use wider stops to accommodate normal trend volatility Add to position on subsequent pullbacks showing similar Stochastic pattern Exit when Stochastic shows opposite extreme with failed cross or bearish/bullish divergence Divergence-Based Reversal Strategy: Scan for divergence between price and Stochastic at swing highs/lows Confirm divergence with at least two price pivots showing divergent Stochastic readings Wait for %K to cross %D in direction of anticipated reversal as entry trigger Enter position in divergence direction with stop beyond recent swing extreme Target profit at key support/resistance levels or Fibonacci retracements Scale out as Stochastic reaches opposite extreme zone Multi-Timeframe Momentum Alignment: Analyze Stochastic on higher timeframe (4H or Daily) for primary trend bias Switch to lower timeframe (1H or 15M) for precise entry timing Only take trades where lower timeframe Stochastic signal aligns with higher timeframe momentum direction Higher timeframe Stochastic in bullish zone (>50) = only take long entries on lower timeframe Higher timeframe Stochastic in bearish zone (<50) = only take short entries on lower timeframe Exit when lower timeframe shows counter-signal or higher timeframe momentum reverses Zone Transition Strategy: Monitor Stochastic for transitions between zones (oversold to neutral, neutral to overbought, etc.) Enter long when Stochastic crosses above 20 (exiting oversold), signaling momentum shift from bearish to neutral/bullish Enter short when Stochastic crosses below 80 (exiting overbought), signaling momentum shift from bullish to neutral/bearish Use zone midpoint (50) as dynamic support/resistance for position management Trail stops as Stochastic advances through favorable zones Exit when Stochastic fails to maintain momentum and reverses back into prior zone 📋 DETAILED PARAMETER CONFIGURATION %K Length (Default: 14): Lower Values (5-9): Highly sensitive to price changes, generates more frequent signals, increased false signals in choppy markets, suitable for very short-term trading and scalping Standard Values (10-14): Balanced sensitivity and reliability, traditional default (14) widely used,适合 swing trading and intraday strategies Higher Values (15-21): Reduced sensitivity, smoother oscillations, fewer but potentially more reliable signals, better for position trading and lower timeframe noise reduction Very High Values (21+): Slow response, long-term momentum measurement, fewer trading signals, suitable for weekly or monthly analysis %K Smoothing (Default: 3): Value 1: Fast Stochastic, uses raw %K calculation without additional smoothing, most responsive to price changes, generates earliest signals with higher noise Value 3: Slow Stochastic (default), traditional smoothing level, reduces false signals while maintaining good responsiveness, widely accepted standard Values 5-7: Very slow response, extremely smooth oscillations, significantly reduced whipsaws but delayed entry/exit timing Recommendation: Default value 3 suits most trading scenarios, active short-term traders may use 1, conservative long-term positions use 5+ %D Smoothing (Default: 3): Lower Values (1-2): Signal line closely follows %K, frequent crossover signals, useful for active trading but requires strict filtering Standard Value (3): Traditional setting providing balanced signal line behavior, optimal for most trading applications Higher Values (4-7): Smoother signal line, fewer crossover signals, reduced whipsaws but slower confirmation, better for trend trading Very High Values (8+): Signal line becomes slow-moving reference, crossovers rare and highly significant, suitable for long-term position changes only Smoothing Type Algorithm Selection: For Trending Markets: ZLEMA, DEMA, TEMA: Reduced lag for faster trend entry, quick response to momentum shifts, suitable for strong directional moves HMA, ALMA: Good balance of smoothness and responsiveness, effective for clean trend following without excessive noise EMA: Classic choice for trending markets, faster than SMA while maintaining reasonable stability For Ranging/Choppy Markets: Kalman Filter, Super Smoother: Superior noise filtering, reduces false signals in sideways action, helps identify genuine reversal points Laguerre Filters: Smooth oscillations with adjustable lag, excellent for mean reversion strategies in ranges T3, TMA: Very smooth output, filters out market noise effectively, clearer extreme zone identification For Adaptive Market Conditions: KAMA: Automatically adjusts to market efficiency, fast in trends and slow in congestion, reduces whipsaws during transitions FRAMA: Adapts to fractal market structure, responsive during directional moves, conservative during uncertainty McGinley Dynamic: Self-adjusting smoothing, follows price naturally, minimizes lag in trending markets while filtering noise in ranges For Conservative Long-Term Analysis: SMA: Traditional choice, predictable behavior, widely understood characteristics RMA (Wilder's): Smooth oscillations, reduced sensitivity to outliers, consistent behavior across market conditions Laguerre Binomial Filter: Extremely smooth output, ideal for weekly/monthly timeframe analysis, eliminates short-term noise completely Source Selection: Close (Default): Standard choice using closing prices, most common and widely tested HLC3 or OHLC4: Incorporates more price information, reduces impact of sudden spikes or gaps, smoother oscillator behavior HL2: Midpoint of high-low range, emphasizes intrabar volatility, useful for markets with wide intraday ranges Custom Source: Can use other indicators as input (e.g., Heikin Ashi close, smoothed price), creates derivative momentum indicators 📈 PERFORMANCE ANALYSIS & COMPETITIVE ADVANTAGES Responsiveness Characteristics: Traditional SMA-Based Stochastic: Fixed lag regardless of market conditions, consistent delay of approximately (K Smoothing + D Smoothing) / 2 periods Equal treatment of trending and ranging markets, no adaptation to volatility changes Predictable behavior but suboptimal in varying market regimes Enhanced Version with Adaptive Algorithms: KAMA and FRAMA reduce lag by up to 40-60% in strong trends compared to SMA while maintaining similar smoothness in ranges ZLEMA and T3 provide near-zero lag characteristics for early entry signals with acceptable noise levels Kalman Filter and Super Smoother offer superior noise rejection, reducing false signals in choppy conditions by estimations of 30-50% compared to SMA Performance improvements vary by algorithm selection and market conditions Signal Quality Improvements: Adaptive algorithms help reduce whipsaw trades in ranging markets by adjusting sensitivity dynamically Advanced filters (Kalman, Laguerre, Super Smoother) provide clearer extreme zone readings for mean reversion strategies Zero-lag methods (ZLEMA, DEMA, TEMA) generate earlier crossover signals in trending markets for improved entry timing Smoother algorithms (T3, Laguerre Binomial) reduce false extreme zone touches for more reliable overbought/oversold signals Comparison with Standard Implementations: Versus Basic Stochastic: Enhanced version offers 21 smoothing options versus single SMA, allowing optimization for specific market characteristics and trading styles Versus RSI: Stochastic provides range-bound measurement (0-100) with clear extreme zones, RSI measures momentum speed, Stochastic offers clearer visual overbought/oversold identification Versus MACD: Stochastic bounded oscillator suitable for mean reversion, MACD unbounded indicator better for trend strength, Stochastic excels in range-bound and oscillating markets Versus CCI: Stochastic has fixed bounds (0-100) for consistent interpretation, CCI unbounded with variable extremes, Stochastic provides more standardized extreme readings across different instruments Flexibility Advantages: Single indicator adaptable to multiple strategies through algorithm selection rather than requiring different indicator variants Ability to optimize smoothing characteristics for specific instruments (e.g., smoother for crypto volatility, faster for forex trends) Multi-timeframe analysis with consistent algorithm across timeframes for coherent momentum picture Backtesting capability with algorithm as optimization parameter for strategy development Limitations and Considerations: Increased complexity from multiple algorithm choices may lead to over-optimization if parameters are curve-fitted to historical data Adaptive algorithms (KAMA, FRAMA) have adjustment periods during market regime changes where signals may be less reliable Zero-lag algorithms sacrifice some smoothness for responsiveness, potentially increasing noise sensitivity in very choppy conditions Performance characteristics vary significantly across algorithms, requiring understanding and testing before live implementation Like all oscillators, Stochastic can remain in extreme zones for extended periods during strong trends, generating premature reversal signals USAGE NOTES This indicator is designed for technical analysis and educational purposes to provide traders with enhanced flexibility in momentum analysis. The Stochastic Oscillator has limitations and should not be used as the sole basis for trading decisions. Important Considerations: Algorithm performance varies with market conditions - no single smoothing method is optimal for all scenarios Extreme zone signals (overbought/oversold) indicate potential reversal areas but not guaranteed turning points, especially in strong trends Crossover signals may generate false entries during sideways choppy markets regardless of smoothing algorithm Divergence patterns require confirmation from price action or additional indicators before trading Past indicator characteristics and backtested results do not guarantee future performance Always combine Stochastic analysis with proper risk management, position sizing, and multi-indicator confirmation Test selected algorithm on historical data of specific instrument and timeframe before live trading Market regime changes may require algorithm adjustment for optimal performance The enhanced smoothing options are intended to provide tools for optimizing the indicator's behavior to match individual trading styles and market characteristics, not to create a perfect predictive tool. Responsible usage includes understanding the mathematical properties of selected algorithms and their appropriate application contexts.
Pine Script®指标
由DCAUT提供
Trailing Stop + Profit TargetTrailing Stop + Exit Confirmation is a manual-entry tool designed to help traders visually manage trades with dynamic trailing stops and profit targets, based on ATR projections with a toggle button to reset calculations in real-time. Contains a “Short” toggle to work for short positions as well, which automatically inverses the PT and SL lines when toggled on. Primary Calculations: Utilizes a manually adjustable entry price (default: $5 — ideal for options traders) that (when adjusted and recalculated) populates the chart with an adaptive ATR-based trailing stop line, dynamic profit target line, and optional 21-day EMA for directional context. Below the Entry Price is a fully functional, manual reset toggle to reset all parameters mid-session to assess risk-reward based on entry price, risk tolerance, etc. followed by the “Short” toggle. Primary Directions/Functions: Enter your trade price in the “Manual Entry Price” field. The script will begin plotting a dynamic trailing stop and profit target based on current market conditions. Use the reset toggle to clear all calculations and start a new position at any time. Customizable Settings: ATR Length and Multiplier Risk/Reward Profit Target Multiplier Toggle to show/hide trailing stop, target, and EMA lines Options Trading Use Case: This tool is especially useful for options traders looking to manage premium-based entries (e.g., $5.00) on intraday or swing trades. The dynamic stop and target lines provide clear visual cues for scaling out or exiting based on price action, while allowing for tighter or looser risk depending on volatility (ATR). This tool does not auto-detect entries or backtest positions. It is intended to complement your entry signals, not generate them. I've written an Options Momentum Signal indicator you can find right here which functions well in tandem with this tool. Made for traders who execute trades manually and want typical preset guidelines for profit and stop loss signals but lets you recalculate them by simply clicking a button, especially if any major news or downturn causes a big change in market conditions so you can make adjustments in real time.
Pine Script®指标
由TylerisTrading提供
MACD-V - Volatility(ATR) normalized MACDThe MACD-V indicator modifies the traditional MACD formula by dividing the difference between the two Exponential Moving Averages (EMAs) by the Average True Range (ATR) The key advantages of this indicator over MACD are: Cross-market comparability: The classic MACD gives different readings for different instruments (like a stock versus a commodity) that are not directly comparable. MACD-V's normalization makes momentum readings comparable across different markets. Time-based stability: Classic MACD readings can't be reliably compared over long periods of time due to changes in an asset's price and volatility. MACD-V's volatility adjustment creates more stable and consistent readings over time. Reduction of false signals: In sideways or low-momentum markets, the traditional MACD can generate numerous false crossover signals near the zero line. MACD-V filters out these false signals by defining specific "neutral zones," typically between -50 and +50, where crossovers are ignored. Consistent Thresholds : MACD-V overbought and oversold thresholds (e.g., +150 and -150) are independent of instrument price, allowing for a more objective framework for analyzing momentum.
Pine Script®指标
由njoneja提供
1
T3 [DCAUT]█ T3 📊 INDICATOR OVERVIEW The T3 Moving Average is a smoothing indicator developed by Tim Tillson and published in Technical Analysis of Stocks & Commodities magazine (January 1998). The algorithm applies Generalized DEMA (Double Exponential Moving Average) recursively three times, creating a six-pole filtering effect that aims to balance noise reduction with responsiveness while minimizing lag relative to price changes. 📐 MATHEMATICAL FOUNDATION Generalized DEMA (GD) Function: The core building block is the Generalized DEMA function, which combines two exponential moving averages with weights controlled by the volume factor: GD(input, v) = EMA(input) × (1 + v) - EMA(EMA(input)) × v Where v is the volume factor parameter (default 0.7). This weighted combination reduces lag while maintaining smoothness by extrapolating beyond the first EMA using the double-smoothed EMA as a reference. T3 Calculation Process: T3 applies the GD function three times recursively: T3 = GD(GD(GD(Price, v), v), v) This triple nesting creates a six-pole smoothing effect (each GD applies two EMA operations, resulting in 2 × 3 = 6 total EMA calculations). The cascading refinement progressively filters noise while preserving trend information. Step-by-Step Breakdown: First GD application: GD1 = EMA(Price) × (1 + v) - EMA(EMA(Price)) × v - Creates initial smoothed series with lag reduction Second GD application: GD2 = EMA(GD1) × (1 + v) - EMA(EMA(GD1)) × v - Further refines the smoothing while maintaining responsiveness Third GD application: T3 = EMA(GD2) × (1 + v) - EMA(EMA(GD2)) × v - Final refinement produces the T3 output Volume Factor Impact: The volume factor (v) is the key parameter controlling the balance between smoothness and responsiveness. Tim Tillson recommended v = 0.7 as the optimal default value. Lower volume factors (v closer to 0.0): Increase the extrapolation effect, making T3 more responsive to price changes but potentially more sensitive to noise. Higher volume factors (v closer to 1.0): Reduce the extrapolation effect, producing smoother output with less sensitivity to short-term fluctuations but slightly more lag. The recursive application of the volume factor through three GD stages creates a nonlinear filtering effect that achieves superior lag reduction compared to traditional moving averages of equivalent smoothness. 📊 SIGNAL INTERPRETATION Trend Direction Signals: Green Line (T3 Rising): Smoothed trend line is rising, may indicate uptrend, consider bullish opportunities when confirmed by other factors Red Line (T3 Falling): Smoothed trend line is falling, may indicate downtrend, consider bearish opportunities when confirmed by other factors Gray Line (T3 Flat): Smoothed trend line is flat, indicates unclear trend or consolidation phase Price Crossover Signals: Price Crosses Above T3: Price breaks above smoothed trend line, may be bullish signal, requires confirmation from other indicators Price Crosses Below T3: Price breaks below smoothed trend line, may be bearish signal, requires confirmation from other indicators Price Position Relative to T3: Price sustained above T3 may indicate uptrend, sustained below may indicate downtrend Supporting Analysis Signals: T3 Slope Angle: Steeper slopes indicate stronger trend momentum, flatter slopes suggest weakening trends Price Deviation: Significant price separation from T3 may indicate overextension, watch for pullback or reversal Dynamic Support/Resistance: T3 line can serve as dynamic support (in uptrends) or resistance (in downtrends) reference 🎯 STRATEGIC APPLICATIONS Common Usage Patterns: The T3 Moving Average can be incorporated into trading analysis in various ways. These represent common approaches used by market participants, though effectiveness varies by market conditions and requires individual testing: Trend Filtering: T3 can be used as a trend filter by observing the relationship between price and the T3 line. The color-coded slope (green for rising, red for falling, gray for sideways) provides visual feedback about the current trend direction of the smoothed series. Price Crossover Analysis: Some traders monitor crossovers between price and the T3 line as potential indication points. When price crosses the T3 line, it may suggest a change in the relationship between current price action and the smoothed trend. Multi-Timeframe Observation: T3 can be applied to multiple timeframes simultaneously. Observing alignment or divergence between different timeframe T3 indicators may provide context about trend consistency across time scales. Dynamic Reference Level: The T3 line can serve as a dynamic reference level for price action analysis. Price distance from T3, price reactions when approaching T3, and the behavior of price relative to the T3 line can all be incorporated into market analysis frameworks. Application Considerations: Any trading application should be thoroughly tested on historical data before implementation T3 performance characteristics vary across different market conditions and asset types The indicator provides smoothed trend information but does not predict future price movements Combining T3 with other analytical tools and market context improves analysis quality Risk management practices remain essential regardless of the analytical approach used 📋 DETAILED PARAMETER CONFIGURATION Source Selection: Close Price (Default): Standard choice for end-of-period trend analysis, reduces intrabar noise HL2 (High+Low)/2: Provides balanced view of price action, considers full bar range HLC3 or OHLC4: Incorporates more price information, may provide smoother results Selection Impact: Different sources affect signal timing and smoothness characteristics Length Configuration: Shorter periods: More responsive, faster reaction, frequent signals, but higher false signal risk in choppy markets Longer periods: Smoother output, fewer signals, better for long-term trends, but slower response Default 14 periods is a common baseline, but optimal length varies by asset, timeframe, and market conditions Parameter selection should be determined through backtesting rather than general recommendations Volume Factor Configuration: Lower values (closer to 0.0): Increase responsiveness but also noise sensitivity Higher values (closer to 1.0): Increase smoothness but slightly more lag Default 0.7 (Tim Tillson's recommendation) provides good balance for most applications Optimal value depends on signal frequency versus reliability preference, test for specific use case Parameter Optimization Approach: There are no universal "best" parameter values - optimal settings depend on the specific asset, timeframe, market regime, and trading strategy Start with default values (Length: 14, Volume Factor: 0.7) and adjust based on observed performance in your target market Conduct systematic backtesting across different market conditions to evaluate parameter sensitivity Consider that parameters optimized for historical data may not perform identically in future market conditions Monitor performance and be prepared to adjust parameters as market characteristics evolve 📈 DESIGN FEATURES & MARKET ADAPTATION Algorithm Design Features: Simple Moving Average (SMA): Equal weighting across lookback period Exponential Moving Average (EMA): Exponentially decreasing weights on historical prices T3 Moving Average: Recursive Generalized DEMA with adjustable volume factor Market Condition Adaptation: Trending markets: Smoothed indicators generally align more closely with sustained directional movement Ranging markets: All moving averages may generate more crossover signals during non-trending periods Volatile conditions: Higher smoothing parameters reduce short-term sensitivity but increase lag Indicator behavior relative to market conditions should be evaluated for specific applications USAGE NOTES This indicator is designed for technical analysis and educational purposes. The T3 Moving Average has limitations and should not be used as the sole basis for trading decisions. Like all trend-following indicators, its performance varies with market conditions, and past signal characteristics do not guarantee future results. Key Points: T3 is a lagging indicator that responds to price changes rather than predicting future movements Signals should be confirmed with other technical tools and market context Parameters should be optimized for specific market and timeframe Risk management and position sizing are essential Market regime changes can affect indicator effectiveness Test strategies thoroughly on historical data before live implementation Consider broader market context and fundamental factors
Pine Script®指标
由DCAUT提供
VIX Gauge Overlay (Table + Label + Alerts) by Carlos C.🚨 Official 2025 Update – Corrected VIX Ranges 🚨 This overlay shows the live VIX level with both a table and a large label, including alerts for HIGH FEAR and PANIC zones. ✅ Official ranges applied: - LOW: 13 – 15 - LIGHT FEAR: 15 – 18 - TRANSITION: 18 – 21 - HIGH FEAR: 21 – 25 - PANIC: ≥ 25 Features: - Table with VIX ranges and live highlight - Large optional label with current value - Color schemes (Normal / Inverted) - Alerts when entering/exiting HIGH FEAR (21) and PANIC (25) ⚠️ Note: Previous version is deprecated. This v3.1 is the official and corrected release.
Pine Script®指标
由Carlostradercr提供
52WH/last52WH/ATH/lastATHThis indicator calculates and displays four values: First, it calculates the current 52-week high and displays it as a line and in a table at the top right with the name, date, and price. Corresponding color markings are also displayed on the price scale. Next, the 52-week high that is at least 3 months ago is determined. The corresponding candle is also labeled with a date. This past high is also displayed as a line, on the price scale, and in the table. Next, the current all-time high is determined and also displayed as a line, on the price scale, and in the table. Finally, the current all-time high that was valid 3 months ago is determined and also displayed as a linewith a label at the corresponding bar, in the price scale, and in the table. All display values can be switched on or off in the view, and the corresponding colors of the displays can also be freely selected. (This script was developed by J. Heina, jochen.heina@gmail, in collaboration with the ChatGPT tool, taking into account the rules developed for trading by Mario Lüddemann Investments GmbH).
Pine Script®指标
由JoeHunter7563提供