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aEMA Cross - Long EditionaEMA Cross – Long Edition Smart, Automated, and Rule-Based Trading Framework Overview: The aEMA Cross – Long Edition is an advanced automated trading system that intelligently identifies trends, filters weak signals, and manages trades with precision. It integrates EMA crossover logic, breakout candle confirmation, and time-based exits to help traders capture consistent opportunities while minimizing risk and manual intervention. Designed and developed with algorithmic trading platforms in mind, the indicator can be seamlessly integrated with most Algo platforms through TradingView alerts for automated execution. Note: The default setup is optimized for the ETHUSD chart. Core Concept: The strategy is built around two Exponential Moving Averages (EMAs): - Short EMA – Responds quickly to short-term market changes. - Long EMA (default 200) – Represents the overall market trend. When the Short EMA crosses specific buffer zones around the Long EMA, it confirms genuine momentum before generating Buy or Sell signals. This ensures cleaner and more reliable trade entries. Key Features: 1. Signal Generation • Dual logic modes: Candle-based or EMA-based signal detection. • Breakout Candle System to confirm strong price movements before entries. • Integrated RSI and ADX filters to ensure trades occur only in favorable market conditions. 2. Smart Trade Management • Automated Target and Stoploss management. • Trailing Stop Loss (TSL) dynamically locks in profits as prices move favorably. • Sequential Signal Logic ensures no repeated or conflicting trade signals. 3. Universal Exit (Time-Based Auto Exit) • Automatically exits all positions at a specified time (e.g., 23:40). • Works consistently across all timeframes (1m, 3m, 5m, etc.). • Can be configured for selected weekdays or every trading day. • Prevents overnight exposure and resets trading cleanly for the next session. 4. Safety and Control • EMA buffer zones help avoid false breakouts and choppy market signals. • Blocks new entries after a Universal Exit until a fresh crossover occurs. • Automatically resets breakout levels and internal logic daily for consistency. 5. Visualization and Alerts • Plots EMAs, buffer zones, breakout levels, and entry/exit markers directly on the chart. • Highlights the Universal Exit visually with background shading. • Sends real-time alerts for Buy, Sell, Exit, and Universal Exit events. Why It Stands Out: • Works reliably across multiple timeframes. • Fully rule-based with no emotional bias. • Highly customizable – adjust filters, targets, buffers, and exit rules as needed. • Complete framework – handles entry, management, and exit automatically. • Engineered for compatibility – can be integrated with most Algo trading platforms. How It Works: 1. The Short EMA and Long EMA define the primary market direction. 2. A breakout or EMA crossover triggers a potential signal. 3. RSI and ADX filters confirm market strength before allowing entry. 4. Target, Stoploss, and TSL manage trades automatically. 5. Universal Exit closes all trades at a defined time, resetting the logic for the next session. How to Use: 1. Apply the aEMA Cross – Long Edition indicator to your chart. 2. Choose your primary logic: Candle-based or Short EMA-based. 3. Adjust RSI, ADX, Buffer, and Target/SL settings according to your trading style. 4. Configure Universal Exit time and alert options. 5. Use the “Once Per Bar Close” alert type for confirmed signals. 6. Always backtest your configuration before enabling automation or live execution. Important Note on Alert Setup: - When using the RSI filter, signals may fluctuate if RSI hovers near the trigger level. To avoid this, use “Once Per Bar Close” for stable and confirmed alerts. - If RSI is disabled, “Once Per Bar” alerts can be safely used, even when the Breakout Candle High/Low Crossover option is enabled. Disclaimer: • This strategy is intended for educational and research purposes only. • It does not guarantee profits. Always perform proper backtesting and apply sound risk management before live trading. • The author is not responsible for any financial losses resulting from its use. Developer Information: Developer: ikunalsingh Built using AI + the best of human logic.
Pine Script® indicator
by ikunalsingh
Algo BOT 4.0 Strategy Description: Algo BOT 4.0 is a sophisticated multi-timeframe trading strategy that identifies high-probability reversal points using technical confluence. The strategy combines: Core Components: Multi-timeframe Pivot Analysis: Daily, Weekly, and Monthly pivot points with CPR (Central Pivot Range) RSI Momentum Filter: Higher timeframe RSI (user-configurable) for trend bias VWAP Dynamics: Volume-weighted average price with moving averages Fibonacci Strength Analysis: Candle close positions relative to 38.2% Fib levels Advanced Cooldown System: Prevents overtrading with dynamic gap requirements Entry Logic: Long Entries: RSI < 57 with bullish candle structure at key support levels Short Entries: RSI > 43 with bearish candle structure at key resistance levels Zone-based Filtering: Identifies trades near significant pivot points (D PP, D R1, D S1, W PP, M PP, VWAP) Risk Management: Dynamic cooldown periods between trades Gap-based entry optimization to ensure sufficient price movement Extreme price tracking for better entry timing Multi-condition validation to reduce false signals Alert System: Real-time alerts for both long and short entries Includes price, RSI value, and zone information Visual signals with triangle markers on chart Comprehensive status monitoring with cooldown timer
Pine Script® indicator
by Sudip09m
MA Cloud - Desh videsh TradingDescription: Visualize market trends with ease using the MA Cloud + Configurable Long-Term MA indicator! This tool allows traders to quickly assess short-to-medium-term and long-term trends using customizable moving averages (EMA, WMA, SMA). Features: MA Cloud (35–65 default): Represents a zone of short-to-medium term trend. Cloud turns green when above the long-term MA → bullish trend. Cloud turns red when below the long-term MA → bearish trend. Gray when the trend is neutral or mixed. Long-Term MA Line: Fully configurable MA type (EMA/WMA/SMA) and length (default 200). Acts as a filter for overall market trend. Trend Label: Displays “TREND: BULL / BEAR / NEUTRAL” on the latest bar. Provides quick visual reference of market direction. Customizable Inputs: Choose MA type for each cloud line: EMA, WMA, or SMA Adjust MA lengths for cloud lines and long-term trend line Customize cloud and line colors for better chart visualization How to Use: Bullish Trend: Cloud above long-term MA → focus on long positions Bearish Trend: Cloud below long-term MA → focus on short positions Neutral Trend: Cloud overlapping long-term MA → avoid directional trades
Pine Script® indicator
by pc9156
Bala RSI + BLOCKSThis indicator combines RSI momentum analysis with order block detection to highlight high-probability reversal and continuation zones. It’s designed for traders who want to align institutional footprints with momentum exhaustion or strength. ✅ Key Features Automatic Order Block Detection Identifies bullish and bearish order blocks based on price structure shifts and liquidity zones. RSI-Driven Confirmation Uses RSI to filter or validate order blocks (e.g., oversold for bullish zones, overbought for bearish zones). Clear Visual Marking Highlights order blocks directly on the chart for quick decision-making. Works Across Timeframes Suitable for intraday, swing, and positional strategies. 🎯 Use Cases Spot potential reversal zones with RSI confluence Confirm order blocks with momentum exhaustion Combine with price action for refined entries/exits ⚠️ Disclaimer This tool is for educational and analytical use only. It does not constitute financial advice. Always combine with your own strategy and risk management.
Pine Script® indicator
by Bala4banknifty
VWAL Cloud + 200 Trend (v6) — Desh Videsh TradingDescription: Visualize market trends easily with the VWAL Cloud + 200 Trend Indicator! This indicator is designed for traders who want a clear, intuitive view of trend direction using volume-weighted average lines (VWAL). Features: VWAL Cloud : Shows the short-to-medium term trend zone. Turns green when the cloud is above the 200-period VWAL (bullish). Turns red when the cloud is below the 200-period VWAL (bearish). Gray when the trend is neutral or mixed. VWAL 200 Line: Represents the long-term trend filter. Helps identify overall market direction. Trend Label: Displays “TREND: BULL / BEAR / NEUTRAL” on the latest bar for quick visual reference. How to Use: Bullish Trend: Cloud above VWAL-200 → look for long setups. Bearish Trend: Cloud below VWAL-200 → look for short setups. Neutral Trend: Cloud overlapping VWAL-200 → avoid taking directional trades. Customizable Inputs: Cloud periods: can be changed as per your strategy VWAL 200 period: adjust to suit longer-term trend detection Cloud & line colors for personal preferences
Pine Script® indicator
by pc9156
MACD Enhanced [DCAUT]█ MACD Enhanced 📊 ORIGINALITY & INNOVATION The MACD Enhanced represents a significant improvement over traditional MACD implementations. While Gerald Appel's original MACD from the 1970s was limited to exponential moving averages (EMA), this enhanced version expands algorithmic options by supporting 21 different moving average calculations for both the main MACD line and signal line independently. This improvement addresses an important limitation of traditional MACD: the inability to adapt the indicator's mathematical foundation to different market conditions. By allowing traders to select from algorithms ranging from simple moving averages (SMA) for stability to advanced adaptive filters like Kalman Filter for noise reduction, this implementation changes MACD from a fixed-algorithm tool into a flexible instrument that can be adjusted for specific market environments and trading strategies. The enhanced histogram visualization system uses a four-color gradient that helps communicate momentum strength and direction more clearly than traditional single-color histograms. 📐 MATHEMATICAL FOUNDATION The core calculation maintains the proven MACD formula: Fast MA(source, fastLength) - Slow MA(source, slowLength), but extends it with algorithmic flexibility. The signal line applies the selected smoothing algorithm to the MACD line over the specified signal period, while the histogram represents the difference between MACD and signal lines. Available Algorithms: The implementation supports a comprehensive spectrum of technical analysis algorithms: Basic Averages: SMA (arithmetic mean), EMA (exponential weighting), RMA (Wilder's smoothing), WMA (linear weighting) Advanced Averages: HMA (Hull's low-lag), VWMA (volume-weighted), ALMA (Arnaud Legoux adaptive) Mathematical Filters: LSMA (least squares regression), DEMA (double exponential), TEMA (triple exponential), ZLEMA (zero-lag exponential) Adaptive Systems: T3 (Tillson T3), FRAMA (fractal adaptive), KAMA (Kaufman adaptive), MCGINLEY_DYNAMIC (reactive to volatility) Signal Processing: ULTIMATE_SMOOTHER (low-pass filter), LAGUERRE_FILTER (four-pole IIR), SUPER_SMOOTHER (two-pole Butterworth), KALMAN_FILTER (state-space estimation) Specialized: TMA (triangular moving average), LAGUERRE_BINOMIAL_FILTER (binomial smoothing) Each algorithm responds differently to price action, allowing traders to match the indicator's behavior to market characteristics: trending markets benefit from responsive algorithms like EMA or HMA, while ranging markets require stable algorithms like SMA or RMA. 📊 COMPREHENSIVE SIGNAL ANALYSIS Histogram Interpretation: Positive Values: Indicate bullish momentum when MACD line exceeds signal line, suggesting upward price pressure and potential buying opportunities Negative Values: Reflect bearish momentum when MACD line falls below signal line, indicating downward pressure and potential selling opportunities Zero Line Crosses: MACD crossing above zero suggests transition to bullish bias, while crossing below indicates bearish bias shift Momentum Changes: Rising histogram (regardless of positive/negative) signals accelerating momentum in the current direction, while declining histogram warns of momentum deceleration Advanced Signal Recognition: Divergences: Price making new highs/lows while MACD fails to confirm often precedes trend reversals Convergence Patterns: MACD line approaching signal line suggests impending crossover and potential trade setup Histogram Peaks: Extreme histogram values often mark momentum exhaustion points and potential reversal zones 🎯 STRATEGIC APPLICATIONS Comprehensive Trend Confirmation Strategies: Primary Trend Validation Protocol: Identify primary trend direction using higher timeframe (4H or Daily) MACD position relative to zero line Confirm trend strength by analyzing histogram progression: consistent expansion indicates strong momentum, contraction suggests weakening Use secondary confirmation from MACD line angle: steep angles (>45°) indicate strong trends, shallow angles suggest consolidation Validate with price structure: trending markets show consistent higher highs/higher lows (uptrend) or lower highs/lower lows (downtrend) Entry Timing Techniques: Pullback Entries in Uptrends: Wait for MACD histogram to decline toward zero line without crossing, then enter on histogram expansion with MACD line still above zero Breakout Confirmations: Use MACD line crossing above zero as confirmation of upward breakouts from consolidation patterns Continuation Signals: Look for MACD line re-acceleration (steepening angle) after brief consolidation periods as trend continuation signals Advanced Divergence Trading Systems: Regular Divergence Recognition: Bullish Regular Divergence: Price creates lower lows while MACD line forms higher lows. This pattern is traditionally considered a potential upward reversal signal, but should be combined with other confirmation signals Bearish Regular Divergence: Price makes higher highs while MACD shows lower highs. This pattern is traditionally considered a potential downward reversal signal, but trading decisions should incorporate proper risk management Hidden Divergence Strategies: Bullish Hidden Divergence: Price shows higher lows while MACD displays lower lows, indicating trend continuation potential. Use for adding to existing long positions during pullbacks Bearish Hidden Divergence: Price creates lower highs while MACD forms higher highs, suggesting downtrend continuation. Optimal for adding to short positions during bear market rallies Multi-Timeframe Coordination Framework: Three-Timeframe Analysis Structure: Primary Timeframe (Daily): Determine overall market bias and major trend direction. Only trade in alignment with daily MACD direction Secondary Timeframe (4H): Identify intermediate trend changes and major entry opportunities. Use for position sizing decisions Execution Timeframe (1H): Precise entry and exit timing. Look for MACD line crossovers that align with higher timeframe bias Timeframe Synchronization Rules: Daily MACD above zero + 4H MACD rising = Strong uptrend context for long positions Daily MACD below zero + 4H MACD declining = Strong downtrend context for short positions Conflicting signals between timeframes = Wait for alignment or use smaller position sizes 1H MACD signals only valid when aligned with both higher timeframes Algorithm Considerations by Market Type: Trending Markets: Responsive algorithms like EMA, HMA may be considered, but effectiveness should be tested for specific market conditions Volatile Markets: Noise-reducing algorithms like KALMAN_FILTER, SUPER_SMOOTHER may help reduce false signals, though results vary by market Range-Bound Markets: Stability-focused algorithms like SMA, RMA may provide smoother signals, but individual testing is required Short Timeframes: Low-lag algorithms like ZLEMA, T3 theoretically respond faster but may also increase noise Important Note: All algorithm choices and parameter settings should be thoroughly backtested and validated based on specific trading strategies, market conditions, and individual risk tolerance. Different market environments and trading styles may require different configuration approaches. 📋 DETAILED PARAMETER CONFIGURATION Comprehensive Source Selection Strategy: Price Source Analysis and Optimization: Close Price (Default): Most commonly used, reflects final market sentiment of each period. Best for end-of-day analysis, swing trading, daily/weekly timeframes. Advantages: widely accepted standard, good for backtesting comparisons. Disadvantages: ignores intraday price action, may miss important highs/lows HL2 (High+Low)/2: Midpoint of the trading range, reduces impact of opening gaps and closing spikes. Best for volatile markets, gap-prone assets, forex markets. Calculation impact: smoother MACD signals, reduced noise from price spikes. Optimal when asset shows frequent gaps, high volatility during specific sessions HLC3 (High+Low+Close)/3: Weighted average emphasizing the close while including range information. Best for balanced analysis, most asset classes, medium-term trading. Mathematical effect: 33% weight to high/low, 33% to close, provides compromise between close and HL2. Use when standard close is too noisy but HL2 is too smooth OHLC4 (Open+High+Low+Close)/4: True average of all price points, most comprehensive view. Best for complete price representation, algorithmic trading, statistical analysis. Considerations: includes opening sentiment, smoothest of all options but potentially less responsive. Optimal for markets with significant opening moves, comprehensive trend analysis Parameter Configuration Principles: Important Note: Different moving average algorithms have distinct mathematical characteristics and response patterns. The same parameter settings may produce vastly different results when using different algorithms. When switching algorithms, parameter settings should be re-evaluated and tested for appropriateness. Length Parameter Considerations: Fast Length (Default 12): Shorter periods provide faster response but may increase noise and false signals, longer periods offer more stable signals but slower response, different algorithms respond differently to the same parameters and may require adjustment Slow Length (Default 26): Should maintain a reasonable proportional relationship with fast length, different timeframes may require different parameter configurations, algorithm characteristics influence optimal length settings Signal Length (Default 9): Shorter lengths produce more frequent crossovers but may increase false signals, longer lengths provide better signal confirmation but slower response, should be adjusted based on trading style and chosen algorithm characteristics Comprehensive Algorithm Selection Framework: MACD Line Algorithm Decision Matrix: EMA (Standard Choice): Mathematical properties: exponential weighting, recent price emphasis. Best for general use, traditional MACD behavior, backtesting compatibility. Performance characteristics: good balance of speed and smoothness, widely understood behavior SMA (Stability Focus): Equal weighting of all periods, maximum smoothness. Best for ranging markets, noise reduction, conservative trading. Trade-offs: slower signal generation, reduced sensitivity to recent price changes HMA (Speed Optimized): Hull Moving Average, designed for reduced lag. Best for trending markets, quick reversals, active trading. Technical advantage: square root period weighting, faster trend detection. Caution: can be more sensitive to noise KAMA (Adaptive): Kaufman Adaptive MA, adjusts smoothing based on market efficiency. Best for varying market conditions, algorithmic trading. Mechanism: fast smoothing in trends, slow smoothing in sideways markets. Complexity: requires understanding of efficiency ratio Signal Line Algorithm Optimization Strategies: Matching Strategy: Use same algorithm for both MACD and signal lines. Benefits: consistent mathematical properties, predictable behavior. Best when backtesting historical strategies, maintaining traditional MACD characteristics Contrast Strategy: Use different algorithms for optimization. Common combinations: MACD=EMA, Signal=SMA for smoother crossovers, MACD=HMA, Signal=RMA for balanced speed/stability, Advanced: MACD=KAMA, Signal=T3 for adaptive behavior with smooth signals Market Regime Adaptation: Trending markets: both fast algorithms (EMA/HMA), Volatile markets: MACD=KALMAN_FILTER, Signal=SUPER_SMOOTHER, Range-bound: both slow algorithms (SMA/RMA) Parameter Sensitivity Considerations: Impact of Parameter Changes: Length Parameter Sensitivity: Small parameter adjustments can significantly affect signal timing, while larger adjustments may fundamentally change indicator behavior characteristics Algorithm Sensitivity: Different algorithms produce different signal characteristics. Thoroughly test the impact on your trading strategy before switching algorithms Combined Effects: Changing multiple parameters simultaneously can create unexpected effects. Recommendation: adjust parameters one at a time and thoroughly test each change 📈 PERFORMANCE ANALYSIS & COMPETITIVE ADVANTAGES Response Characteristics by Algorithm: Fastest Response: ZLEMA, HMA, T3 - minimal lag but higher noise Balanced Performance: EMA, DEMA, TEMA - good trade-off between speed and stability Highest Stability: SMA, RMA, TMA - reduced noise but increased lag Adaptive Behavior: KAMA, FRAMA, MCGINLEY_DYNAMIC - automatically adjust to market conditions Noise Filtering Capabilities: Advanced algorithms like KALMAN_FILTER and SUPER_SMOOTHER help reduce false signals compared to traditional EMA-based MACD. Noise-reducing algorithms can provide more stable signals in volatile market conditions, though results will vary based on market conditions and parameter settings. Market Condition Adaptability: Unlike fixed-algorithm MACD, this enhanced version allows real-time optimization. Trending markets benefit from responsive algorithms (EMA, HMA), while ranging markets perform better with stable algorithms (SMA, RMA). The ability to switch algorithms without changing indicators provides greater flexibility. Comparative Performance vs Traditional MACD: Algorithm Flexibility: 21 algorithms vs 1 fixed EMA Signal Quality: Reduced false signals through noise filtering algorithms Market Adaptability: Optimizable for any market condition vs fixed behavior Customization Options: Independent algorithm selection for MACD and signal lines vs forced matching Professional Features: Advanced color coding, multiple alert conditions, comprehensive parameter control USAGE NOTES This indicator is designed for technical analysis and educational purposes. Like all technical indicators, it has limitations and should not be used as the sole basis for trading decisions. Algorithm performance varies with market conditions, and past characteristics do not guarantee future results. Always combine with proper risk management and thorough strategy testing.
Pine Script® indicator
by DCAUT
Crypto Mean Reversion System (Pullback & Bounce)Mean Reversion Theory The indicator operates on the principle that extreme price movements in crypto markets tend to revert toward their mean over time. Consider this a valuable aid for your dollar-cost averaging strategy, effectively identifying periods ripe for accumulating or divesting from the market. Research shows that: Short-term momentum often persists briefly after surges, but extreme moves trigger mean reversion Sharp drops exhibit strong bounce patterns, especially after capitulation events Longer timeframes (7-day) show stronger mean reversion tendencies than shorter ones (1-day) Timeframe Analysis 1-Day Timeframe Pullback probabilities: 45-85% depending on surge magnitude Bounce probabilities: 55-95% depending on drop severity Captures immediate overextension and panic selling More volatile but faster signal generation 7-Day Timeframe Pullback probabilities: 50-90% (higher confidence) Bounce probabilities: 50-90% (slightly moderated) Filters out noise and identifies sustained trends Stronger mean reversion signals due to extended moves Probability Tiers Pullback Risk (After Surges) Moderate (45-60%): 5-10% surge → Expected -3% to -12% pullback High (55-70%): 10-15% surge → Expected -5% to -18% pullback Very High (65-80%): 15-25% surge → Expected -10% to -25% pullback Extreme (75-90%): 25%+ surge → Expected -15% to -40% pullback Bounce Probability (After Drops) Moderate (55-65%): -5% to -10% drop → Expected +3% to +10% bounce High (65-75%): -10% to -15% drop → Expected +6% to +18% bounce Very High (75-85%): -15% to -25% drop → Expected +10% to +30% bounce Extreme (85-95%): -25%+ drop → Expected +18% to +45% bounce The probability ranges are derived from: Crypto volatility patterns: Higher volatility than traditional assets creates stronger mean reversion Behavioral finance: Extreme moves trigger emotional trading (FOMO/panic) that reverses Historical backtesting: Probability estimates based on typical reversion patterns in crypto markets Timeframe correlation: Longer timeframes show increased reversion probability due to reduced noise Key Features Dual-direction signals: Identifies both overbought (pullback) and oversold (bounce) conditions Multi-timeframe confirmation: 1D and 7D analysis for different trading styles Customizable thresholds: Adjust sensitivity based on asset volatility Visual alerts: Color-coded labels and table for quick assessment Risk categorization: Clear severity levels for position sizing
Pine Script® indicator
by Zorgs
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® indicator
by N-1111
CPR by VictorVCentral Pivot Range Where price is vs CPR Above TC: bullish bias; TC/BC act as support. Hold above TC → trend day likely. Inside CPR (BC–TC): balanced/choppy; expect mean reversion between edges until a clean break. Below BC: bearish bias; BC/TC act as resistance. Width of the CPR Narrow: energy coiled → higher chance of breakout/trend day. Wide: balanced market → range-bound behavior more likely. Shift vs yesterday CPR shifted up: bullish undertone. Shifted down: bearish undertone. Overlapping: neutral/indecisive. Intraday tells Acceptance: Several candles holding outside BC/TC = expansion in that direction. Rejection: Wicks through BC/TC that close back inside = likely fade back toward the opposite edge. Pivot (P) magnet: On non-trend days, price often gravitates back to P.
Pine Script® indicator
by VCTRV
DM Super AlgoHere’s what each row in the Summary Table means and how you’d use it: Mode Shows your selected trade style (Scalp / Day trade / Swing) plus the ATR settings tied to it. Use it to remember what volatility context you set the algo to (it also informs some visuals/OB stats under the hood). ADX Current trend strength from the Wilder ADX. It also labels the regime: WEAK / MODERATE / STRONG / VERY STRONG. When ADX is below your “ADX min” input, the algo treats trend as weak; unified signals only fire when trend is strong. Vol >MA*x Whether current volume is UNUSUAL (above SMA(volume, flowVolLen) × flowVolMult) or NORMAL. UNUSUAL volume = better odds a move can follow through; it also contributes a “vote.” RSI(len) Shows RSI value or zone: Overbought / OB Zone / Oversold / OS Zone / number. Above 50 adds a bull vote; below 50 adds a bear vote. OB/OS text just gives quick context. ATR(len) Shows the ATR and (optionally) the ATR % of price (e.g., “1.23 (0.65%)”). Higher ATR = more noise/range; useful for setting stops/targets sized to current volatility. DM Total BUY Rolling total of estimated buy volume over your lookback window (formatted in K/M/B). Bigger than SELL suggests net buying pressure recently. DM Total SELL Rolling total of estimated sell volume over the same window. Bigger than BUY suggests net selling pressure recently. DM Buy Dom% The share of buy volume in total (BUY / (BUY+SELL)), as a percentage. >50% favors bulls; <50% favors bears. It also feeds a vote. Votes (B/Bear) The bull vs bear tally from 5 components: Price vs EMA(Trend) RSI vs 50 DM dominance (>50%) CVD slope (last 5 bars) Volume condition When trend is strong (ADX filter passes) and one side has ≥3 votes AND more than the other, the script plots its triangle marker. How to use the table (quick workflow) Check ADX: If not “STRONG/VERY STRONG,” be cautious—signals won’t print unless trend passes your ADX threshold. Scan Votes: A clear majority (e.g., 4/1) is stronger than 3/2. Confirm with Volume: “UNUSUAL” volume increases conviction. Gauge Volatility: Use ATR (and ATR%) to size stops/targets. Read DM & Dominance: BUY vs SELL totals and DM Buy Dom% tell you whether the recent flow supports the direction.
Pine Script® indicator
by evistatrading
Stop Hunt Candlesticks (Liquidity Wicks)🕯️ Stop Hunt Candlesticks Wick Highlighter – Spot Extreme Wicks Instantly This indicator highlights candles where the upper or lower wick exceeds a customizable percentage of the asset’s price — perfect for quickly spotting strong rejections, liquidity grabs, stop hunts or exhaustion moves. 💡 Key Features Visual Background Highlight: Automatically colors the chart background when a wick surpasses your defined % threshold (default 1%). Customizable Threshold: Adjust wick sensitivity to suit different assets or timeframes. Upper & Lower Wick Filters: Choose whether to track upper wicks, lower wicks, or both. Dynamic Price Basis: Compare wick size relative to Close, Open, HL2, or OC2. Optional Labels: Display the exact wick percentage directly on the chart. Alerts Ready: Get notified whenever a candle shows an extreme wick condition. ⚙️ How It Works The script measures each candle’s wick size relative to your chosen price basis: Upper wick % = (High − max(Open, Close)) / Basis × 100 Lower wick % = (min(Open, Close) − Low) / Basis × 100 If the result exceeds your chosen threshold, the chart background changes color. Red for upper wicks, green for lower wicks by default. 🎯 Use Cases Identify strong rejections or stop hunts near key levels. Confirm price exhaustion or potential reversals. Filter fake breakouts or high-volatility events. 🧩 Customization Tweak colors, transparency, and label visibility to fit seamlessly into your chart setup.
Pine Script® indicator
by AGreatEscape
NQ → NAS100The NQ → NAS100 Converter is a practical utility designed for traders who trade both the Nasdaq futures (NQ) and Nasdaq CFD (NAS100) markets. It calculates and displays the converted stop-loss distance and price level on the NAS100 chart, based on a chosen number of NQ points. This helps traders align their risk and position management between futures and CFD markets with precision. 🧮 Core Features: Real-time conversion between NQ (CME) and NAS100 (OANDA) prices. Automatic stop calculation for both Long and Short trade setups. Optional display of NQ price, NAS price, and converted stop price. Flexible visualization modes: Candle-attached label that moves with price. Chart-fixed panel for a clean dashboard-style view. Full customization of colors, text size, alignment, and display position. ⚙️ How It Works: Enter your NQ stop distance (in points). The script converts that distance into the equivalent NAS100 distance, using the current NQ/NAS ratio. The final converted NAS100 stop price is automatically displayed. ⚠️ Important Note: This script does not place or execute trades. It is designed solely for analysis and educational use to assist with risk management and cross-market price mapping. Always confirm levels independently before trading. 📊 Recommended For: Traders managing correlated exposure between NQ Futures and NAS100 CFDs. Prop firm traders using NAS100 as a futures-correlated proxy. Anyone seeking a clear, visual way to match stop distances across the two markets.
Pine Script® indicator
by winkiefx
Commodity Pulse Matrix (CPM) [WavesUnchained] [Strategy]Commodity Pulse Matrix (CPM) - Strategy Version ⚠️ Development Status ACTIVE DEVELOPMENT - This strategy is currently under heavy development and optimization. The risk management settings, entry/exit logic, and parameter tuning are still being refined and are NOT yet satisfactory for live trading. Current development areas: Stop-loss and take-profit optimization Position sizing and risk management Entry timing and signal filtering Backtest validation across different market conditions ⚠️ Use for testing and backtesting only - NOT recommended for live trading yet! For detailed information about the underlying indicator logic, signals, and analysis methods, please refer to the Commodity Pulse Matrix (CPM) indicator description. Overview The CPM Strategy is an automated trading system based on the Commodity Pulse Matrix indicator. It converts the indicator's multi-timeframe confluence signals into executable trades with dynamic ATR-based risk management. Strategy Core Features Signal Sources The strategy trades based on: Strong Buy/Sell signals from the CPM indicator Multi-timeframe alignment (configurable: 3/3, 2/3, or score-only) EMA-200 trend filter (prevents counter-trend entries) Dynamic signal cooldown (5-8 bars) Optional reversal zone signals (triple-confirmed) Risk Management (ATR-Based) Stop-Loss & Take-Profit Stop-Loss: 2.5x ATR (default) - Dynamic distance based on volatility Take-Profit: 4.0x ATR (default) - Risk/Reward ratio of 1.6:1 ATR Length: 14 periods (adjustable) Both SL and TP adjust to current market volatility Trailing Stop (Optional) Enabled by default Trails at 2.5x ATR distance Protects profits in trending moves Can be disabled for fixed SL/TP only Position Management Trade Direction Filter Both Directions (default) - Trade both Long and Short Long Only - Only enter long positions Short Only - Only enter short positions Cooldown After Exit Default: 3 bars minimum after closing a position Prevents immediate re-entry (whipsaw protection) Adjustable from 0 (disabled) to any number of bars Signal Filtering Signal Mode (Timeframe Consensus) Strict (3/3 TFs): All 3 timeframes must agree - Most conservative Majority (2/3 TFs): At least 2 of 3 timeframes agree - Balanced (default) Flexible (Score Only): Overall score threshold only - Most signals Optional Filters Min ABS(overallScore): Only trade when confluence score meets minimum (default: 0 = disabled) Confirmed Bar Only: Wait for bar close before entry (prevents repainting) - Recommended ON Strategy Settings Guide For Conservative Trading (Lower Risk) Signal Mode: "Strict (3/3 TFs)" Stop-Loss: 3.0x ATR or higher Take-Profit: 5.0x ATR or higher Trailing Stop: Enabled Cooldown: 5-10 bars Min Score: 8.0 or higher For Aggressive Trading (More Signals) Signal Mode: "Flexible (Score Only)" Stop-Loss: 2.0x ATR Take-Profit: 3.0x ATR Trailing Stop: Optional Cooldown: 0-3 bars Min Score: 4.0 or disabled For Balanced Trading (Recommended Starting Point) Signal Mode: "Majority (2/3 TFs)" Stop-Loss: 2.5x ATR Take-Profit: 4.0x ATR Trailing Stop: Enabled Cooldown: 3 bars Min Score: 6.0-8.0 TradingView Strategy Tester Settings Essential Settings to Configure: Properties Tab Initial Capital: Set to realistic account size Order Size: Use "% of Equity" (e.g., 10-25% per trade) Commission: Set realistic commission (e.g., 0.05% for crypto, 0.1% for stocks) Slippage: Add realistic slippage (1-3 ticks for liquid markets) Verify "Recalculate: On Every Tick" is DISABLED (for realistic backtests) Inputs Tab Adjust ATR multipliers for your market Set appropriate cooldown period Choose signal mode based on desired trade frequency Enable/disable trailing stop Configure directional filter if needed Backtesting Recommendations Before Using This Strategy: Test across multiple markets - What works for one commodity may not work for another Test different timeframes - Strategy behavior changes significantly with TF Test different market conditions - Trending vs ranging markets Validate performance metrics - Win rate, profit factor, max drawdown, Sharpe ratio Forward test on paper account - Before risking real capital Key Metrics to Monitor: Win Rate (aim for >40% minimum) Profit Factor (aim for >1.5) Max Drawdown (should be acceptable for your risk tolerance) Sharpe Ratio (higher is better, >1.0 is good) Average Trade (should be positive after commissions/slippage) Known Limitations Range-bound markets: May produce more whipsaws despite filters Low volatility: ATR-based stops may be too tight High volatility: ATR-based stops may be too wide News events: Strategy cannot account for fundamental shocks Signal timing: Entry timing is still being optimized Indicator vs Strategy When to use the Indicator: - Manual trading with discretion - Confluence analysis and timing - Multiple signal validation - Learning market structure When to use the Strategy: - Automated backtesting - System validation - Parameter optimization - Performance measurement ⚠️ The indicator provides richer information and context than the strategy can execute! Technical Details Pine Script v6 Non-repainting: Uses confirmed bars for HTF data Strategy type: Long/Short with dynamic stops Risk management: ATR-based (adaptive to volatility) Position sizing: Configured in Strategy Tester Pyramiding: Default 1 (no adding to positions) Important Notes ⚠️ Strategy parameters are still under optimization - Current settings may not be optimal for all markets or timeframes ⚠️ Backtest thoroughly before live trading - Test across different market conditions and timeframes ⚠️ Risk management is critical - Use appropriate position sizing (1-2% risk per trade recommended) ⚠️ Market conditions change - A strategy that works in trending markets may fail in ranging markets ⚠️ Commission and slippage matter - Always include realistic costs in backtests ✅ Start with conservative settings and optimize gradually ✅ Paper trade before going live ✅ Monitor performance and adjust as needed ✅ Never risk more than you can afford to lose Disclaimer Educational and testing purposes only. Not financial advice. This strategy is provided as-is for backtesting and educational purposes. Past performance is not indicative of future results. Trading involves substantial risk of loss. The developer is not responsible for any losses incurred from using this strategy. Always do your own research, backtest thoroughly, and consult with a qualified financial advisor before making trading decisions. NEVER use this strategy with real money until: You have thoroughly backtested it on your specific market and timeframe You understand all parameters and their impact You have forward tested it on a paper account You are comfortable with the maximum drawdown and risk profile The strategy has been marked as production-ready by the developer Version v1.2 - Strategy Adapter (Active Development) Based on: Commodity Pulse Matrix v1.2 Indicator Last Updated: 2025-10-10 For detailed indicator documentation, see the Commodity Pulse Matrix (CPM) indicator description.
Pine Script® strategy
by WavesUnchained
Key Levels with RTH-Only Lines and End-of-Line LabelsThis script plots important market structure levels such as Premarket High/Low, Previous Day High/Low, Monday High/Low, Weekly and Monthly Highs/Lows — but only during Regular Trading Hours (RTH) to keep the chart clean and focused on the active session. Each level is automatically updated based on session data and is visually extended across the current trading day using line breaks (plot.style_linebr). At the start of each RTH session, the script also places end-of-line labels identifying each level (e.g., PDH, PDL, Mon High, Mon Low, Weekly High/Low, Monthly High/Low), allowing traders to quickly reference key zones without clutter. This tool is ideal for: Futures and equity traders who rely on session-based support and resistance levels. Identifying reaction points where liquidity often builds — such as prior highs/lows or weekly extremes. Maintaining focus on live market structure while avoiding noise from premarket or overnight price action. Additional features: All levels and labels are plotted only during RTH for visual clarity. Supports custom labeling and alert logic extensions for breakout or retest strategies. Built with scalability in mind — works across different symbols and timeframes.
Pine Script® indicator
by govind220
Bitcoin Halving Cycle Strategy ProBitcoin Halving Cycle Strategy Pro - Advanced Market Cycle Analysis Tool This professional indicator analyzes Bitcoin's 4-year halving cycles using precise mathematical calculations. It identifies bull and bear market phases based on 500 days before and 560 days after each halving event, providing traders with data-driven market cycle insights. Key Features: • Automatic Bull/Bear Market Zone Detection with color-coded areas • Historical Halving Analysis (2012-2028) with future projections • Live Performance Tracking during bull phases (returns, max drawdown) • Customizable cycle parameters (days before/after halving) • Interactive info table showing current cycle phase and metrics • Visual timeline markers for halving dates and cycle boundaries Perfect for long-term Bitcoin investors, cycle analysts, and traders who want to understand market psychology and timing based on historical halving patterns. Uses proven 1060-day cycle theory backed by empirical data.
Pine Script® indicator
by akaLOCKSMITH
Uptrick: Volatility Adjusted TrailIntroduction The "Uptrick: Volatility Adjusted Trail" is a dynamic trailing band indicator. It adapts in real time to changing market conditions by adjusting both to volatility and trend consistency. Inspired by Supertrend-style logic, it enhances traditional approaches by introducing adaptive mechanisms for more context-sensitive behavior in both trending and consolidating environments. Overview This indicator combines an exponential moving average (EMA) as its basis with an Average True Range (ATR)-derived multiplier that adjusts dynamically. Unlike fixed-multiplier tools, this indicator modifies its band distances in real time according to volatility expansion and trend persistence. The result is a trailing system that adapts to the prevailing market regime, providing traders with clearer signals for trend bias, stop placement, and potential momentum shifts. Originality The script’s originality lies in its multi-layered approach to trail calculation. It introduces a real-time ATR multiplier adjustment driven by two factors: a volatility expansion ratio and a trend persistence model. The expansion ratio compares the current ATR to its moving average, making the indicator more sensitive during volatile conditions and less sensitive during quieter periods. The trend persistence model assesses directional consistency to widen the bands during sustained trends. This dual adjustment method creates a system that evolves with market behavior, making it more responsive and adaptive than static-band or fixed-multiplier alternatives. Components & Inspiration This indicator was designed with specific components that work together: Exponential Moving Average (EMA): Chosen as the central baseline because it responds faster to recent price changes than a simple moving average, providing a more current reference for trailing bands. Average True Range (ATR): Used as the volatility measure because it accounts for both intraday and gap movement, making it a robust and widely accepted standard for market volatility. Dynamic Multiplier: The multiplier is adjusted by both volatility expansion and trend persistence to produce bands that tighten during low volatility and widen during consistent trends. This combination was chosen to give the indicator the ability to self-regulate across different market regimes. Trend Persistence Model: Integrated to assess directional consistency, ensuring the bands expand during strong trends, which can prevent premature stop-outs. Flip Confirmation Logic: Added to filter out noise by requiring multiple bar closes beyond a band before confirming a state change, reducing false reversals. For inspiration, the indicator draws on the core idea behind Supertrend—using a baseline and volatility-derived bands to define trailing stop levels. However, while Supertrend uses a fixed ATR multiplier, this indicator introduces a dynamic multiplier system and persistence weighting, making it more adaptive and suited for varying conditions. Inputs and Parameters Basis EMA Length Defines the period for the EMA that serves as the core price reference. ATR Length Sets the lookback period for the Average True Range calculation used in band spacing. Base ATR Mult The base multiplier applied to ATR before adjustments. Forms the starting scale of the band offset. Volatility Expansion Sensitivity Controls how strongly the band spacing reacts to short-term volatility bursts. Higher values create more pronounced band expansions or contractions. Trend Persistence Window Determines how many bars are used to calculate directional trend consistency using a smoothed step function. Persistence Impact Scales how much influence the trend persistence has on band widening. Values range from 0 (no effect) to 1 (maximum effect). Min Effective Mult Sets the minimum value that the adjusted multiplier can reach. Prevents the bands from becoming too narrow. Max Effective Mult Sets the maximum value the adjusted multiplier can reach. Prevents the bands from over-expanding during high volatility. Bars Above/Below to Confirm Flip Number of consecutive bars required to close above or below the opposing trail before confirming a bullish or bearish flip. Helps reduce noise and false signals. Show Flip Labels Enables or disables the display of flip markers on the chart. Label Size Allows users to adjust the size of flip labels from Tiny to Huge. Label ATR Offset Adjusts the vertical placement of flip labels in relation to the trail using an ATR-based offset. Features and Logic EMA Basis: All calculations stem from an EMA that tracks the centerline of price action. Dynamic ATR Multiplier: The ATR multiplier adjusts in real time based on volatility expansion and trend persistence. Clamped Multiplier: The adjusted multiplier is limited between user-defined minimum and maximum values to keep the band scale practical. Upper and Lower Bands: Bands are plotted above and below the EMA using the dynamic multiplier and ATR values. Trailing Logic: The script uses Supertrend-style trailing logic, updating the active band in the current trend direction and resetting the opposite band. Trend State Detection: A state variable tracks the current market regime (bullish, bearish, or neutral). Transitions are confirmed only after a user-specified number of bars close beyond the respective bands. Visual Elements: Trail lines and fill zones are color-coded (bullish cyan, bearish magenta). Candlestick and bar colors match the trend state. Optional flip labels mark confirmed transitions. Alerts: Built-in alert conditions allow users to receive real-time notifications for bullish or bearish flips. Usage Guidelines This indicator can be used for: Defining context-aware dynamic stop levels that adjust with market behavior. Identifying trend direction and reversal points based on adaptive logic. Filtering entry or exit signals during trending vs. consolidating conditions. Supplementing trade management strategies with responsive visual markers. Entering long or short positions based on the appearance of flip labels and managing stop losses by following the adaptive trail. Traders may tune the parameters to suit different trading styles or timeframes. For example, lower ATR and EMA values may suit intraday setups, while longer settings may benefit swing or positional trading. Summary The "Uptrick: Volatility Adjusted Trail" provides a flexible, adaptive trailing band system that accounts for both volatility and directional consistency. By combining an EMA baseline with a dynamic ATR multiplier influenced by volatility expansion and trend persistence, it creates a context-sensitive trailing system that aligns with changing market conditions. Customizable confirmation, flip labels, alerts, and dynamic visual cues make it a versatile tool for trend-following, breakout filtering, and trailing stop logic. Disclaimer This indicator is provided for educational and research purposes only. It does not constitute financial advice. Trading involves risk, and past performance does not guarantee future results. Always conduct your own analysis and risk management before making trading decisions.
Pine Script® indicator
by Uptrick
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