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Trend Analysis

Luminous Market Flux [Pineify]Luminous Market Flux - Dynamic Volatility Channel with Breakout Detection The Luminous Market Flux indicator is a sophisticated volatility-based trading tool that combines dynamic channel analysis with breakout detection and squeeze identification. This indicator helps traders visualize market conditions by creating an adaptive envelope around price action, highlighting periods of compression (low volatility) and expansion (high volatility) while generating actionable buy and sell signals at key breakout moments. Key Features Dynamic volatility channel that adapts to changing market conditions using ATR-based calculations Visual squeeze detection system that warns traders when volatility is contracting Automatic breakout signal generation for both bullish and bearish scenarios Luminous gradient fill that provides instant visual feedback on price position within the channel Bar coloring feature that highlights strong volatility breakouts Built-in alert conditions for automated trading notifications How It Works The indicator operates on three core calculation layers: 1. Baseline Calculation (Central Tendency) The foundation uses a Running Moving Average (RMA) of the closing price over the specified Flux Length period. RMA was specifically chosen over SMA or EMA because it provides smoother trend detection similar to how RSI and ATR calculations work, reducing noise while maintaining responsiveness to genuine price movements. 2. Volatility Measurement The channel width is determined by the Average True Range (ATR) multiplied by the Flux Expansion Factor. ATR captures the true volatility of the market by accounting for gaps and limit moves, making the channel responsive to actual market conditions rather than just closing price variations. 3. Squeeze Detection Logic The indicator compares the current channel width against a 100-period simple moving average of historical channel widths. When the current range falls below 80% of this average, a squeeze condition is identified, signaling that volatility is compressing and a significant move may be imminent. Trading Ideas and Insights Breakout Trading: Enter long positions when price breaks above the upper flux channel with a BUY signal, and short positions when price breaks below the lower channel with a SELL signal. These breakouts indicate strong momentum in the direction of the move. Squeeze Anticipation: When squeeze circles appear at the top of the chart, prepare for a potential explosive move. Squeezes often precede significant breakouts as the market coils before releasing energy in one direction. Trend Confirmation: Use the bar coloring feature to confirm trend strength. Colored bars indicate that price is trading outside the volatility envelope, suggesting strong directional momentum. Mean Reversion: When price is within the channel (no bar coloring), the gradient fill helps identify whether price is closer to the upper or lower boundary, potentially useful for mean-reversion strategies. How Multiple Indicators Work Together This indicator integrates several technical concepts into a cohesive system: The RMA baseline provides the trend anchor, while the ATR-based envelope adapts to volatility conditions. These two components work together to create a channel that expands during volatile periods and contracts during quiet markets. The squeeze detection layer adds a third dimension by comparing current volatility to historical norms, alerting traders when the market is unusually quiet. The visual elements reinforce this analysis: the gradient fill shows price position within the channel at a glance, bar coloring confirms breakout strength, and shape markers provide discrete entry signals. This multi-layered approach ensures traders receive consistent information across different visualization methods. Unique Aspects The "Luminous" visual design uses color gradients that dynamically shift based on price position, creating an intuitive heat-map effect within the channel Unlike traditional Bollinger Bands that use standard deviation, this indicator uses ATR for volatility measurement, making it more responsive to actual price range movements The squeeze detection compares current volatility to a longer-term average (100 periods), providing context-aware compression signals rather than arbitrary thresholds Signal generation uses proper state tracking to ensure breakout signals only fire on the initial breakout, not on every bar during an extended move How to Use Add the indicator to your chart. It will overlay directly on price with the volatility channel visible. Watch for BUY labels appearing below bars when price breaks above the upper channel - these indicate bullish breakout opportunities. Watch for SELL labels appearing above bars when price breaks below the lower channel - these indicate bearish breakout opportunities. Monitor for small circles at the top of the chart indicating squeeze conditions - prepare for potential breakouts when these appear. Use the colored bars as confirmation of breakout strength - green bars confirm bullish momentum, red bars confirm bearish momentum. Set up alerts using the built-in alert conditions to receive notifications for buy signals, sell signals, and squeeze warnings. Customization Flux Length (default: 20): Controls the lookback period for both the baseline and ATR calculations. Lower values create more responsive but noisier channels; higher values create smoother but slower-reacting channels. Flux Expansion Factor (default: 2.0): Multiplier for the ATR value that determines channel width. Higher values create wider channels with fewer signals; lower values create tighter channels with more frequent signals. Smooth Signal : Toggle for signal smoothing preference. Bullish Energy : Customize the color for bullish breakouts and upper channel highlights. Bearish Energy : Customize the color for bearish breakouts and lower channel highlights. Compression/Neutral : Customize the color for squeeze indicators and neutral channel states. Conclusion The Luminous Market Flux indicator provides traders with a comprehensive volatility analysis tool that combines channel-based trend detection, squeeze identification, and breakout signaling into a single, visually intuitive package. By using ATR-based volatility measurement and RMA smoothing, the indicator adapts to changing market conditions while filtering out noise. Whether you are a breakout trader looking for momentum entries or a swing trader waiting for volatility expansion after compression periods, this indicator offers the visual clarity and signal precision needed to make informed trading decisions.
Pine Script® indicator
by Pineify
Impulse Trend Levels [BOSWaves]Impulse Trend Levels - Momentum-Adaptive Trend Detection with Impulse-Driven Confidence Bands Overview Impulse Trend Levels is a momentum-aware trend identification system that tracks directional price movement through adaptive confidence bands, where band width dynamically adjusts based on impulse strength and freshness to reflect real-time conviction in the current trend direction. Instead of relying on fixed moving average crossovers or static band multipliers, trend state, band positioning, and zone thickness are determined through impulse detection patterns, exponential decay modeling, and volatility-normalized momentum measurement. This creates dynamic trend boundaries that reflect actual momentum intensity rather than arbitrary technical levels - contracting during fresh impulse conditions when trend conviction is high, expanding during impulse decay periods when directional confidence weakens, and incorporating momentum freshness calculations to reveal whether trends are accelerating or deteriorating. Price is therefore evaluated relative to bands that adapt to momentum state rather than conventional static thresholds. Conceptual Framework Impulse Trend Levels is founded on the principle that meaningful trend signals emerge when price momentum intensity reaches significant thresholds relative to recent volatility rather than when price simply crosses moving averages. Traditional trend-following methods identify directional changes through price-indicator crossovers, which often ignore the underlying momentum dynamics and conviction levels that sustain those moves. This framework replaces static-threshold logic with impulse-driven band construction informed by actual momentum strength and decay characteristics. Three core principles guide the design: Trend direction should be determined by volatility-normalized momentum breaches, not simple price crossovers alone. Band width must adapt to impulse freshness, reflecting real-time confidence in the current trend. Momentum decay modeling reveals whether trends are maintaining strength or losing conviction. This shifts trend analysis from static indicator levels into adaptive, momentum-anchored confidence boundaries. Theoretical Foundation The indicator combines exponential moving average smoothing, mean absolute deviation measurement, impulse detection methodology, and exponential decay tracking. An EMA-based trend baseline provides directional reference, while Mean Absolute Deviation (MAD) offers volatility-normalized scaling for momentum measurement. Impulse detection identifies significant price movements relative to recent volatility, triggering fresh momentum readings that decay exponentially over time. Band multipliers interpolate between tight and wide settings based on calculated impulse freshness. Four internal systems operate in tandem: Trend Baseline Engine : Computes EMA-smoothed price levels for directional reference and band anchoring. Volatility Measurement System : Calculates MAD to provide adaptive scaling that normalizes momentum across varying market conditions. Impulse Detection Logic : Identifies volatility-normalized price movements exceeding threshold levels, capturing momentum intensity and direction. Decay-Based Confidence Modeling : Applies exponential decay to impulse readings, converting raw momentum into time-weighted freshness metrics that drive band adaptation. This design allows trend confidence to reflect actual momentum behavior rather than reacting mechanically to price formations. How It Works Impulse Trend Levels evaluates price through a sequence of momentum-aware processes: Baseline Calculation : EMA smoothing of open and close creates a directional trend reference that filters short-term noise. Volatility Normalization : MAD calculation over a specified lookback provides dynamic scaling for momentum measurement. Raw Impulse Detection : Price change over impulse lookback divided by MAD creates volatility-normalized momentum readings. Threshold-Based Activation : When normalized momentum exceeds threshold (1.0), impulse registers with absolute magnitude and directional sign. Exponential Decay Application : Between impulse events, stored impulse value decays exponentially via configurable decay rate. Freshness Conversion : Decaying impulse transforms into freshness metric (0-100%) representing current momentum conviction. Adaptive Band Construction : Band multiplier interpolates between minimum (fresh) and maximum (stale) settings based on freshness, then scales MAD to determine band width. Trend State Logic : Price crossing above upper band triggers bullish state; crossing below lower band triggers bearish state; state persists until opposite breach. Signal Generation : Trend state switches from bearish to bullish produce buy signals; bullish to bearish switches produce sell signals. Retest Identification : Price touching inner band edge after signal buffer period marks retests, with cooldown periods preventing excessive plotting. Together, these elements form a continuously updating trend framework anchored in momentum reality. Interpretation Impulse Trend Levels should be interpreted as momentum-anchored trend confidence boundaries: Bullish Trend State (Cyan) : Established when price closes above adaptive upper band, indicating upward momentum breach with associated confidence level. Bearish Trend State (Magenta) : Established when price closes below adaptive lower band, signaling downward momentum breach with directional conviction. Trend Cloud : Visual gradient zone displays between outer and inner band edges, with opacity reflecting current trend state and confidence. Band Width Dynamics : Tighter bands indicate fresh impulse (high confidence), wider bands indicate impulse decay (reduced confidence). ▲ Buy Signals : Green upward triangles mark bullish trend state initiations at crossovers above upper band. ▼ Sell Signals : Red downward triangles mark bearish trend state initiations at crossovers below lower band. ✦ Retest Markers : Small diamonds identify price retouching inner band edge after sufficient buffer period from initial signal. Retest Extension Lines : Horizontal projections from retest points extend forward, marking potential support/resistance levels. Colored Candles : Optional bar coloring reflects current trend state for immediate visual reference. Note: The original chart candles must be disabled in chart settings for the trend-colored candles to display properly. Impulse freshness, band width dynamics, and momentum normalization outweigh isolated price movements. Signal Logic & Visual Cues Impulse Trend Levels presents two primary interaction signals: Buy Signal (▲) : Green label appears when trend state switches from bearish to bullish via upper band crossover, suggesting momentum shift to upside. Sell Signal (▼) : Red label displays when trend state switches from bullish to bearish via lower band crossunder, indicating momentum shift to downside. Retest detection provides secondary confirmation when price revisits inner band boundaries after signal buffer cooldown expires. Alert generation covers trend state switches (long/short), retest occurrences, and impulse freshness decay below 50% threshold for systematic monitoring. Strategy Integration Impulse Trend Levels fits within momentum-informed and adaptive trend-following approaches: Momentum-Confirmed Entries : Use band crossovers as high-probability trend initiation points where volatility-normalized momentum exceeded threshold. Freshness-Based Position Sizing : Scale exposure based on impulse freshness - larger positions during fresh impulse periods, reduced sizing as impulse decays. Band-Width Risk Management : Expect wider price ranges when bands expand during decay, tighter ranges when bands contract during fresh impulse. Retest-Based Re-entry : Use inner band retests as lower-risk entry opportunities within established trends after initial signal cooldown. Cloud-Aligned Directional Bias : Favor trades aligning with current trend state rather than counter-trend positions. Multi-Timeframe Momentum Confirmation : Apply higher-timeframe impulse trend state to filter lower-timeframe entry precision. Technical Implementation Details Core Engine : EMA-based baseline with MAD volatility measurement Impulse Model : Volatility-normalized momentum detection with directional sign capture Decay System : Exponential decay application (0.8-0.99 range) with freshness conversion Band Construction : Linear interpolation between min/max multipliers scaled by MAD Visualization : Gradient-filled cloud zones with bar coloring and signal labels Signal Logic : State-switch detection with retest buffer and cooldown mechanisms Performance Profile : Optimized for real-time execution across all timeframes Optimal Application Parameters Timeframe Guidance: 1 - 5 min : Micro-trend detection for scalping with responsive impulse settings 15 - 60 min : Intraday momentum tracking with balanced decay characteristics 4H - Daily : Swing-level trend identification with sustained impulse persistence Suggested Baseline Configuration: Trend Length : 19 Impulse Lookback : 5 Decay Rate : 0.99 MAD Length : 20 Band Min (Fresh) : 1.5 Band Max (Stale) : 1.9 Signal Buffer Period : 10 Show Trend Cloud : Enabled Color Bars : Enabled (requires disabling original chart candles in chart settings) Show Buy/Sell Signals : Enabled These suggested parameters should be used as a baseline; their effectiveness depends on the asset's volatility profile, momentum characteristics, and preferred signal frequency, so fine-tuning is expected for optimal performance. Parameter Calibration Notes Use the following adjustments to refine behavior without altering the core logic: Excessive signal noise : Increase Trend Length to demand smoother baseline crossovers or increase Impulse Lookback for less reactive momentum detection. Missed momentum shifts : Decrease Impulse Lookback to capture shorter-term momentum changes or reduce Decay Rate to allow faster impulse fade. Bands too tight/wide : Adjust Band Min and Band Max multipliers to modify confidence zone thickness across freshness spectrum. Impulse decays too quickly : Increase Decay Rate toward 0.99 to sustain impulse readings longer between fresh events. Impulse decays too slowly : Decrease Decay Rate toward 0.8 for faster momentum fade and more frequent band expansion. Unstable volatility scaling : Increase MAD Length to smooth volatility measurement and reduce sensitivity to short-term spikes. Too many retest markers : Increase retest cooldown period (55 bars hardcoded) or increase Signal Buffer Period to space out signals. Adjustments should be incremental and evaluated across multiple session types rather than isolated market conditions. Performance Characteristics High Effectiveness: Trending markets with clear momentum phases and directional persistence Instruments with consistent volatility characteristics where MAD scaling normalizes effectively Momentum continuation strategies entering on fresh impulse signals Trend-following approaches benefiting from adaptive confidence measurement Reduced Effectiveness: Choppy, range-bound markets with frequent whipsaw crossovers Extremely low volatility environments where impulse threshold becomes difficult to breach News-driven or gapped markets with discontinuous momentum patterns Mean-reversion dominant conditions where momentum breaches quickly reverse Consolidation and sideways price action where trend-following methodologies inherently struggle due to lack of sustained directional movement Integration Guidelines Confluence : Combine with BOSWaves structure, volume analysis, or traditional trend indicators Freshness Respect : Trust signals occurring during high impulse freshness periods with contracted bands Decay Awareness : Reduce position sizing or tighten stops as impulse decays and bands widen Retest Utilization : Treat inner band retests as continuation confirmation rather than reversal signals State Discipline : Maintain directional bias aligned with current trend state until opposite band breach occurs Disclaimer Impulse Trend Levels is a professional-grade momentum and trend analysis tool. It uses volatility-normalized impulse detection with exponential decay modeling but does not predict future price movements. Results depend on market conditions, volatility characteristics, parameter selection, and disciplined execution. BOSWaves recommends deploying this indicator within a broader analytical framework that incorporates price structure, volume context, and comprehensive risk management.
Pine Script® indicator
by BOSWaves
8
Keltner-Aroon-EFI FlowKeltner-Aroon-EFI Flow (KAE) KAE Flow is a quantitative composite indicator designed to identify dominant market trends by fusing three distinct dimensions of price action: Volatility, Trend Age, and Volume Pressure. Unlike standard indicators that rely on a single data point (like a moving average crossover), KAE Flow aggregates three independent logic engines into a single normalized "Flow" score. This score is then smoothed using an Arnaud Legoux Moving Average (ALMA) to filter out noise while retaining responsiveness to genuine trend reversals. This script operates strictly on the current chart timeframe, ensuring all signals are causal, non-repainting, and reliable for real-time analysis. 1. The Quantitative Engine (How it Works) The indicator polls three separate components. Each component votes "1" (Bullish), "-1" (Bearish), or "0" (Neutral). These votes are averaged to create the raw signal. K — Keltner Channels (Volatility Dimension) Concept: Measures volatility expansion. Logic: The script calculates Keltner Channels using an EMA center line and ATR bands. Bullish (+1): Price closes above the Upper Channel. Bearish (-1): Price closes below the Lower Channel. This component ensures we only trade when price is breaking out of its expected volatility range. A — Aroon (Trend Age Dimension) Concept: Measures the strength and "freshness" of a trend. Logic: We utilize the Aroon Up and Aroon Down metrics. Bullish (+1): Aroon Up is greater than Aroon Down AND Aroon Up is > 70. Bearish (-1): Aroon Down is greater than Aroon Up AND Aroon Down > 70. This filters out weak or aging trends, ensuring the move has mathematical momentum. E — Elder’s Force Index (Volume Dimension) Concept: Measures volume-weighted price change. Logic: We calculate the raw Force Index (Close - Close ) * Volume and smooth it with an EMA. Bullish (+1): Smoothed EFI > 0. Bearish (-1): Smoothed EFI < 0. This component confirms that price movement is supported by actual volume flow (accumulation/distribution). 2. Signal Processing (ALMA Smoothing) Raw aggregation can be noisy. The composite score is passed through an ALMA (Arnaud Legoux Moving Average) filter. Why ALMA? It uses a Gaussian distribution to provide smoothness without the significant lag associated with SMA or EMA. This creates the "Flow" line that resists false flips during choppy consolidation. 3. How to Use The indicator plots a signal line and dynamically colors the price bars and background to reflect the dominant bias. Deep Blue (Bullish Flow): The KAE Score is > 0.1. All three engines (or the majority) are aligned bullishly. Traders typically look for long entries or hold existing long positions. White (Bearish Flow): The KAE Score is < -0.1. The majority of engines detect bearish volatility and volume. Traders typically look for short entries. Gray (Neutral): The score is between -0.1 and 0.1. The market is in equilibrium or transition. Trend-following strategies should be paused. 4. Configuration Logic Engine: You can toggle individual components (K, A, or E) on or off to isolate specific market dimensions. Smoothing: Adjust the ALMA Window and Offset to fine-tune the sensitivity of the signal line. Lengths: Fully customizable periods for Keltner, Aroon, and EFI to adapt to different asset classes (e.g., Crypto vs. Forex).
Pine Script® indicator
by D_QUANT
1
Future Swing [BigBeluga]🔵 OVERVIEW Future Swing is a swing-based projection tool that estimates the potential size and price target of the next swing move using historical swing behavior. Instead of predicting direction randomly, it analyzes completed swing legs, measures their percentage moves, and projects a statistically derived swing target into the future. The indicator combines swing structure, high/low zones, volume context, and a real-time dashboard to help traders anticipate where price may travel next. 🔵 CONCEPTS Swing Detection — Swing highs and lows are identified using a configurable lookback length. Swing Percentage Tracking — Each completed swing leg is converted into a percentage move and stored. Statistical Projection — Future swing size is estimated using Average, Median, or Mode of past swing percentages. Directional Awareness — Projections adapt automatically based on current swing direction. 🔵 FEATURES Historical Swing Sampling — • Uses a user-defined number of completed swings. • More samples = smoother projection, fewer samples = faster adaptation. Future Swing Projection — • Dashed line projects the estimated swing target forward in time. • Projection distance is visual-only and does not affect calculations. High/Low Swing Zones — • Upper and lower swing zones expand using ATR distance. • Zones visualize potential reaction and rejection areas. Volume Context per Swing — • Buy and sell volume are accumulated during each swing leg. • Delta and total volume are displayed in the dashboard. Smart Dashboard — • Displays each stored swing percentage. • Shows calculated swing projection value. Flexible Projection Method — • Average: smooth and balanced. • Median: filters out extreme outliers. • Mode: focuses on the most common swing size. Extendable Zones — • Swing zones can optionally extend forward indefinitely. 🔵 HOW TO USE Anticipate Swing Targets — Use the projected swing line as a probabilistic price objective. Combine with Structure — Align projections with support, resistance, or liquidity zones. Filter by Volume — Confirm swing quality using delta and total volume metrics. Adjust Sensitivity — Tune swing length and historical sample size to match timeframe and volatility. Context, Not Certainty — Use projections as guidance, not fixed take-profit levels. 🔵 CONCLUSION Future Swing transforms past swing behavior into a forward-looking projection model. By combining swing structure, statistical aggregation, ATR zones, and volume analysis, it offers traders a structured way to estimate where the next meaningful price move may reach — without relying on fixed targets or subjective assumptions.
Pine Script® indicator
by BigBeluga
10
Multi-Timeframe EMA Bundle (576/676/144/169/12)A comprehensive EMA (Exponential Moving Average) indicator combining five key moving averages used by professional traders for trend identification and dynamic support/resistance levels. Included EMAs: EMA 576 & EMA 676 (Blue) — Long-term trend filters commonly used on lower timeframes to represent higher timeframe structure. Acts as major support/resistance zones. EMA 144 & EMA 169 (White) — Mid-term trend indicators derived from Fibonacci numbers. When price respects this zone, it often signals strong trend continuation. EMA 12 (Yellow) — Short-term momentum tracker for entries and exits. Useful for identifying pullback opportunities within the trend.
Pine Script® indicator
by dylancui9
AI Adaptive Trend Navigator Strategy Echo EditionAI Adaptive Trend Navigator Strategy This is a professional long-only automated strategy optimized for Taiwan Index Futures (TX). Based on the LuxAlgo clustering framework, this version features advanced logic iteration for institutional-grade backtesting and execution. 1. Realistic Cost Modeling To ensure backtest reliability, this strategy is pre-configured with: Slippage: 2 ticks (Approx. 400 TWD per side). Commission: 100 TWD per side. Total Cost: 500 TWD per side. This provides a rigorous stress test for real-world trading environments. 2. State Consistency & Logic Continuity Optimized the underlying array handling to ensure "State Persistence." This eliminates the logic gaps common in real-time script execution, ensuring that historical signals are 100% consistent with live alerts. 3. Adaptive AI Clustering Utilizes K-means clustering to dynamically select the optimal ATR factors based on current market volatility, allowing the strategy to "evolve" as market regimes shift. 🧠 開發理念：追求實戰一致性的量化策略 本策略旨在為台指期（TX）提供一套具備真實參考價值的自動化系統。 ✨ Echo 版核心優化點 數據連續性迭代：修正底層邏輯，確保訊號在即時盤勢中穩定不跳斷。 真實交易成本模擬：預設 2 點滑價 與 單邊 100 TWD 手續費，單邊總成本對標 500 TWD，拒絕虛假神單，挑戰最嚴苛的回測環境。 台指期專屬參數調校：融入針對台灣市場波動特性的預設參數與過濾邏輯。 🛡️ 進階實戰過濾 空間緩衝區 (Buffer Strategy)：價格需有效突破緩衝區才觸發，精準過濾盤整雜訊。 AI 信心評分系統：只有當動能穩定度達標時才會發進場訊號。 冷卻保護機制：有效抑制訊號在洗盤區間過度頻繁跳動。 ⚠️ Disclaimer: Backtest results do not guarantee future performance.
Pine Script® strategy
by EchoQuan
5
Euro Day StrategyThis is a false breakout reversal strategy that fades short-term breakouts when they conflict with longer-term momentum. Here's the detailed breakdown: Strategy Overview Type: Counter-trend/Fade strategy disguised as breakout trading Core Logic: Enter against immediate breakouts when longer-term momentum suggests the move is exhausted. Strategy Classification This is a FADE/EXHAUSTION strategy, NOT a breakout-following strategy Enters against the immediate breakout direction Bets on mean reversion when short-term price action diverges from longer-term momentum Works best in ranging/choppy markets where breakouts frequently fail Will get hurt in strong trending markets where breakouts are genuine This strategy is designed for intraday mean-reversion trading on instruments that tend to range (likely forex or futures). It requires markets where false breakouts are common and price tends to snap back quickly.
Pine Script® strategy
by trungnam2101998
MTF Equals v1.0MTF Equals is a professional-grade tool designed to identify significant price levels across multiple timeframes. It scans the current chart and higher timeframes (HTF) for identical highs and lows ("Equals"), which often act as price magnets or liquidity pools. Key Features: Multi-Timeframe Analysis: Automatically detects identical highs and lows on the current chart, as well as M5, M15, M30, H1, H4, and Daily. NQ Auto-Detection: Specialized logic for Nasdaq (NQ) that automatically determines the ideal starting point for analysis based on volume, efficiency, and price density. Live Statistics: Displays the number of touches and the bar distance from the first touchpoint directly on the price level. Smart Cleaning: Levels are automatically removed once they are significantly breached by price, keeping your chart clutter-free. Advanced Visuals: Fully customizable colors, line styles, and label positioning (e.g., Align to Margin). How to use: Perfect for spotting "Equal Highs/Lows" (Liquidity) or confirming institutional support and resistance zones.
Pine Script® indicator
by kp_eu_de
AI Adaptive Trend Navigator Echo EditionAI Adaptive Trend Navigator This is an advanced trend-following system optimized for high-volatility index futures (TX). Built upon the LuxAlgo clustering framework, this version introduces several critical enhancements to meet professional trading standards: 1. State Consistency Iteration Enhanced the underlying logic for dynamic arrays and User-Defined Types (UDTs) to ensure stable "State Persistence." This fix eliminates logic gaps during real-time price fluctuations, ensuring that historical backtests perfectly align with live execution. 2. Adaptive Factor Tuning (K-means) The system simulates dozens of parameter paths in real-time, using K-means clustering to automatically select the optimal factor suited for the current market volatility. 3. Advanced Practical Filters Dynamic Buffer Strategy: Filters out market noise during consolidation and early session volatility. Confidence Threshold: Only triggers signals when the AI performance score meets the required quality. Cooldown Logic: Prevents rapid signal flipping in choppy markets. 🧠 開發理念：將 AI 自適應力帶入台指期實戰 針對台指期（TX）高波動特性開發，透過機器學習演算法動態尋優，解決傳統指標參數固定的滯後性。 ✨ Echo 版核心優化點 數據連續性迭代：底層邏輯優化，確保訊號在即時盤勢中穩定不跳斷，回測與實戰高度吻合。 自適應動態尋優：透過 K-means 聚類自動鎖定當前最佳 ATR 因子。 實戰多重濾網：包含空間緩衝區 (Buffer) 與信心門檻，大幅提升訊號品質。 📊 視覺說明 🚀 Rocket: AI confirms trend momentum. ⚡ Lightning: Trend exhaustion or reversal warning. ⚠️ Disclaimer: For educational and technical analysis purposes only.
Pine Script® indicator
by EchoQuan
[Sumit Ingole] 200-EMA SUMIT INGOLE Indicator Name: 200 EMA Strategy Pro Overview The 200-period Exponential Moving Average (EMA) is widely regarded as the "Golden Line" by professional traders and institutional investors. This indicator is a powerful tool designed to identify the long-term market trend and filter out short-term market noise. By giving more weight to recent price data than a simple moving average, this EMA reacts more fluidly to market shifts while remaining a rock-solid trend confirmation tool. Key Features Trend Filter: Instantly distinguish between a Bull market and a Bear market. Price above 200 EMA: Bullish Bias Price below 200 EMA: Bearish Bias Dynamic Support & Resistance: Acts as a psychological floor or ceiling where major institutions often place buy or sell orders. Institutional Benchmark: Since many hedge funds and banks track this specific level, price reactions near the 200 EMA are often highly significant. Reduced Lag: Optimized exponential calculation ensures you stay ahead of the curve compared to traditional lagging indicators. How to Trade with 200 EMA Trend Confirmation: Only look for "Buy" setups when the price is trading above the 200 EMA to ensure you are trading with the primary trend. Mean Reversion: When the price stretches too far away from the 200 EMA, it often acts like a magnet, pulling the price back toward it. The "Death Cross" & "Golden Cross": Use this in conjunction with shorter EMAs (like the 50 EMA) to identify major trend reversals. Exit Strategy: Can be used as a trailing stop-loss for long-term positional trades. Best Used On: Timeframes: Daily (1D), 4-Hour (4H), and Weekly (1W) for maximum accuracy. Assets: Highly effective for Stocks, Forex (Major pairs), and Crypto (BTC/ETH). Disclaimer: This tool is for educational and analytical purposes only. Trading involves risk, and it is recommended to use this indicator alongside other technical analysis tools for better confirmation.
Pine Script® indicator
by rahulingole4712
Phantom Support & Resistance Auto [PT-IND-SR.001]Overview Phantom Support & Resistance Auto is a context-focused support and resistance indicator designed to visualize price interaction zones derived from multiple market behaviors. The script does not generate buy or sell signals. Instead, it provides a structured map of potential reaction areas, allowing traders to better understand where price has historically reacted, consolidated, or extended liquidity. This indicator is intended to be used as a decision-support and contextual analysis tool, not as a standalone trading system. How the Script Works The indicator combines several independent but complementary methods of identifying support and resistance. Each method captures a different type of market behavior, and all components can be enabled or disabled independently. 1) High / Low Zones (Range Extremes) This module tracks the highest high and lowest low over a configurable lookback period. These levels represent recent range boundaries, which often act as reaction zones during consolidation or pullbacks. They are visualized as extended horizontal levels to preserve historical context. 2) Pivot Zones (Filtered & Merged Levels) Pivot zones are derived from confirmed pivot highs and lows. To avoid excessive and overlapping levels, the script applies a merge tolerance based on either: ATR distance, or Percentage distance from price Nearby pivot levels are merged into a single zone, and each zone tracks how many times price has interacted with it. This interaction count adjusts visual strength, creating a relative importance hierarchy rather than treating all levels equally. An optional higher-timeframe source can be used to project structurally significant levels onto lower timeframes. 3) Wick Liquidity Zones This module detects candles with disproportionately large wicks relative to their bodies. Such candles often indicate liquidity grabs, stop runs, or rejection areas. Detected wick levels are extended forward to highlight areas where liquidity was previously absorbed. This component focuses on price rejection behavior, not trend direction. 4) PR Levels (Volatility-Adjusted Predicted Ranges) PR levels are derived from a volatility-adjusted average price model. Using ATR as a normalization factor, the script calculates a central average along with upper and lower projected zones. These levels are adaptive, expanding and contracting with volatility, and are intended to represent probabilistic price ranges, not fixed targets. 5) MACD-Based Support & Resistance (Heikin Ashi Source) This module derives dynamic support and resistance levels based on MACD momentum shifts, calculated from Heikin Ashi price data to reduce noise. When MACD momentum transitions occur, recent highs and lows are captured and projected as potential reaction zones. This component focuses on momentum-driven structural changes, rather than static price levels. Why These Components Are Combined Each component captures a different dimension of market behavior: High / Low zones → Range extremes Pivot zones → Structural reaction points Wick zones → Liquidity and rejection behavior PR levels → Volatility-normalized price ranges MACD S&R → Momentum-based structural shifts By combining these sources, the indicator provides a layered view of support and resistance, allowing traders to evaluate confluence, alignment, or divergence between different types of levels instead of relying on a single method. The script does not assume all levels are equal; visual weighting helps distinguish structural levels from situational ones. Visualization & Outputs Color-coded horizontal zones with strength-based opacity Optional glow effects for visual clarity Independent toggles for each S&R source A table showing percentage distances between projected PR levels, helping users contextualize price location within its current range All visual components are configurable and can be selectively disabled to reduce chart clutter. How to Use Use this indicator as a context and mapping tool Observe areas where multiple zone types align for higher contextual significance Combine with your own entry logic, confirmations, and trade management rules Suitable for multi-timeframe analysis and market structure studies Risk Management Notice This indicator should always be used as part of a well-defined risk management plan. Support and resistance zones represent areas of potential interaction, not guaranteed reactions. Users are responsible for applying appropriate: Position sizing Stop placement Risk-to-reward rules The indicator does not manage risk automatically and should not replace proper risk management practices. What This Script Is NOT It is not a buy/sell signal generator It does not predict future price direction It does not guarantee reactions at every level It should not be used as a standalone trading strategy Originality & Purpose The originality of this script lies in its structured integration of multiple support and resistance methodologies, each preserved as a distinct analytical layer rather than blended into a single opaque output. The purpose is to help traders understand where price has interacted with liquidity, structure, and volatility, not to automate trade decisions.
Pine Script® indicator
by Phantom_Trader_Global
Futures Trend Signaler Final VersionFutures Trend Signaler is a compact, multi-timeframe EMA “trend dashboard” built for intraday futures/index trading. It displays a clean table (1m + two lower timeframes you choose, e.g., 15s and 1s) that shows: EMA 9 vs EMA 21 (short-term momentum / immediate trend direction) EMA 21 vs EMA 50 (trend “sustainability” / broader continuation bias) Price vs 1m EMA 9 (LTF/Ultra price position relative to the 1-minute momentum line) Each cell is color-coded (green = bullish, red = bearish, gray = neutral/na) so you can read bias at a glance. When a new EMA crossover occurs, the table also flags it (and tracks the most recent bull/bear cross) so you can quickly see if momentum just flipped—without cluttering the chart with overlapping markers. Fully customizable table position and text size. Designed to stay lightweight by using minimal higher/lower timeframe requests. Disclaimer: This indicator is for informational/educational purposes only and is not financial advice. Always use proper risk management.
Pine Script® indicator
by babaflargslugdook
Pivot Points with Support/ResistanceA) Pivot Resistance Levels (R1, R2, R3…) Resistance pivots are projected upside levels where price often pauses, rejects, or reverses. They are commonly used as profit targets for long trades and areas to watch for short setups when buyers show weakness. B) Pivot Support Levels (S1, S2, S3…) Support pivots are projected downside levels where price often stabilizes or bounces. They are commonly used as profit targets for short trades and areas to watch for long setups when sellers lose momentum. C) Role in Market Structure S/R pivots map out probable intraday supply and demand zones based on the prior session’s price action. They help define the day’s trading range and highlight high-probability reaction areas. D) Trading Interpretation Acceptance above resistance → bullish continuation Rejection at resistance → potential pullback or reversal Acceptance below support → bearish continuation Rejection at support → potential bounce Best used with trend context, volume, and confluence (CPR, VAH/VAL, Camarilla)
Pine Script® indicator
by isaackirby2004
1
Apexflow PRO: Anchored Fair Value + Regime Readiness [v6]## Apexflow PRO — Anchored Fair Value Cloud + Regime Readiness (Non-Repaint Signals) **Apexflow PRO** is an overlay indicator built to answer one core trading question: **“Is price currently cheap, fair, or expensive — and is the market in a regime where that matters?”** Instead of throwing random signals at you, Apexflow PRO combines **anchored fair value**, **market regime detection**, **flow participation**, and **optional cross-market confirmation** into a single, easy-to-read system with a **Readiness Score (0–100)** and clean, non-spam alerts. --- # What you see on the chart ### 1) Anchored Fair Value Cloud (the “tunnel”) This is the heart of the indicator. * **Midline = Anchored VWAP fair value** * Resets by **Day / Week / Month** (you choose). * **Cloud = 3-layer adaptive tunnel** * **Core (blue)** = “fair pricing zone” * **Upper red layers** = increasingly stretched/expensive * **Lower teal layers** = increasingly stretched/cheap **Interpretation (beginner-simple):** * **Inside blue core** → “priced fairly” * **Below the tunnel** → “cheap / discounted” * **Above the tunnel** → “expensive / premium” * **Outer layers** → “extreme stretch” zones (higher snap-back risk) ### 2) Regime label (context filter) Apexflow labels the market environment as: * **TRENDING** * **CHOP/RANGE** * **VOLATILE** * **BREAKOUT** This prevents “using the right tool in the wrong market.” Example: mean reversion works better in chop; trend continuation works better in trend/breakout regimes. ### 3) Readiness Score (0–100) This is the **strength of confluence** between the engines. * Low score = mixed signals / noise * High score = alignment / higher-quality conditions ### 4) BUY / SELL signals (non-spam) Signals trigger only when: * **Readiness crosses above your threshold** (first bar only) * **Regime filter agrees** * **Structure agrees** (reclaim midline / lose midline OR location within the tunnel) * **Cooldown** prevents rapid repeats --- # What’s behind it (advanced, but readable) Apexflow PRO uses four engines: ## A) Anchored Fair Value Engine (core) A true anchored VWAP-style accumulator: * Aggregates **price × volume** and **volume** * Resets on your chosen anchor period * Produces a stable “fair value spine” ### Stable Mode (important) When **Stable Mode = ON**, Apexflow **does not drift intrabar** on live candles. The anchored midline and tunnel update on confirmed bar closes to avoid the classic “wiggling anchor” problem. ## B) Regime Engine (Trend/Chop/Breakout/Volatile) Uses multiple independent measures (not just one): * **ADX** = trend strength * **Efficiency Ratio (ER)** = trend efficiency vs chop * **BB Width %Rank** = compression / squeeze context * **ATR %Rank** = volatility regime context This produces both a **regime label** and a **regime confidence score** used in the composite. ## C) Flow Engine (participation + intent proxy) A blended participation model: * **Signed candle pressure** (body vs range scaled by volume) * **Wick rejection bias** (rejection strength) * **RVOL** (relative volume lift) This helps distinguish “real moves” from low-quality drifts. ## D) Cross-Market Confirmation (optional) A light macro filter to reduce false positives: * **Equities:** VIX (inverse risk) * **Forex:** DXY (inverse USD pressure) * **Crypto:** BTC.D (risk tone proxy) If the cross-market symbol is unavailable, the script **falls back gracefully** and automatically reduces its weight. --- # How to use (simple rules) ## Trend Following mode (default) Best when you want to ride directional moves. **BUY idea:** * Readiness crosses above threshold * Regime is **TRENDING** or **BREAKOUT** * Price is reclaiming the midline OR is occurring from the lower half of tunnel **SELL idea:** * Same logic in reverse (lose midline / upper half) **Practical beginner rule:** > In Trend mode, treat the midline like “bias.” > If price is above the midline and score is strong → favor longs. > If below and score is strong → favor shorts. ## Reversion mode Best in chop/range markets. * Signals are biased toward **mean reversion** * Use tunnel extremes as “stretch zones” * Targets often gravitate back toward the **midline / inner bands** --- # Best settings & timeframes (starting points) These are practical defaults (not magic): ### Crypto * 15m / 1H / 4H * Anchor Reset: **Week** * Threshold: **60–70** ### Equities / Indices * 5m / 15m / 1H * Anchor Reset: **Day or Week** * Threshold: **60–75** ### Forex * 15m / 1H * Anchor Reset: **Day** * Threshold: **60–75** If signals feel too frequent: raise **Threshold** or increase **Cooldown**. If signals feel too rare: lower **Threshold** slightly or reduce **Cooldown**. --- # Alerts Included: * **Apexflow PRO Long** * **Apexflow PRO Short** These fire only when the indicator triggers a confirmed, threshold-cross event (designed for clean alerting). --- # Notes & limitations (honest) * This is not a “predict the future” tool — it’s a **context + fair value + confluence** system. * Cross-market filters are helpful, but not universal. If you trade niche assets, consider turning cross-market OFF or customizing the reference symbol. * Always use risk management. A strong score is not a guarantee.
Pine Script® indicator
by Finntech1
MA12 x MA80 Bands Signals - JAMMALMA12 × MA80 Bands Signal – Trend Assistant | Jammal This script provides a clean and simple entry-timing assistant based on the interaction between MA12 and dynamic bands around MA80. It helps visualize potential trend-based entry points with clear and non-intrusive signals. The MA80 bands are fully adjustable, allowing you to customize the sensitivity based on the market and timeframe. Features: Trend-based entry assistance MA12 cross with MA80 dynamic bands Adjustable MA80 bands (user-controlled offset) Clear triangles, labels, and short horizontal levels Works on all markets and all timeframes Helps visualize trend interaction and entry timing Designed for traders who want a simple, clean, and supportive trading tool. Supporting tool only – not a complete trading system. Enjoy and happy trading! Jammal
Pine Script® indicator
by Jammal
Band Walk Detector TENKYO [BASIC]1. Abstract: The Computational Resolution of Cognitive Latency This publication presents the findings of the "TENKYO" Research Project , focusing on the algorithmic detection of high-probability volatility breakouts ("Band Walks") on the 15-minute timeframe. Problem Statement: Manual trading suffers from a critical "Cognitive Latency Gap." A trader cannot simultaneously process multi-dimensional variables—volatility expansion rates (derivative of variance), candle morphology (price rejection ratios), and time-weighted liquidity cycles—within the millisecond timeframe required for optimal execution. Solution: This script is not a discretionary indicator but a Hard-Coded Decision Support System . It automates the verification of market conditions using a "Piecewise Constant Parameter Model," offloading the computational burden from the human operator to the CPU. Note: This is a research release for the verification of the TENKYO logic, not a commercial product. 2. Theoretical Framework & Methodology The architecture of this script rejects the standard "Stationary Volatility Assumption" (the idea that market behavior is consistent throughout the day). Instead, it adopts a Time-Segmented Heteroskedasticity Model. A. Temporal Segmentation Logic (The Session Filter) Global forex markets exhibit distinct liquidity profiles based on the active session (London, New York, Tokyo/Sydney). A standard deviation ($\sigma$) that signals a breakout in the Asian session is often mere noise in the London session.To solve this, the script partitions the trading day into four distinct phases ($S_1, S_2, S_3, S_4$) and applies a Dynamic Parameter Matrix: ・ Logic: $P(t) = \{ \text{Length}_i, \text{Mult}_i, \text{Threshold}_i \}$ where $t \in S_i$ ・ Implementation: The script contains an extensive if-else structure that automatically swaps the Lookback Period and Deviation Multiplier based on the timestamp. This allows the algorithm to "tighten" or "loosen" its sensitivity relative to expected market volume. B. Synthetic Execution Modeling (Bid/Ask Simulation) TradingView's default variables (close, high, low) represent mid-market data, which fails to account for the spread cost inherent in execution. ・Correction: This algorithm internally calculates synthetic Bid and Ask prices using a defined spread factor ($\Delta$). ・Formula: $$P_{Ask} = P_{Mid} + (\Delta / 2), \quad P_{Bid} = P_{Mid} - (\Delta / 2)$$ 3. Algorithmic Core: The "TENKYO" Logic The script identifies a "Band Walk" only when three independent layers of logic align perfectly. Layer 1: The Volatility Impulse (Expansion) The primary trigger is not merely price crossing a band, but the acceleration of the Band Width. ・Condition: The algorithm monitors the differential of the Upper and Lower bands. A signal is generated only if the expansion velocity exceeds a predefined Pips threshold (bwGrow_px) specifically tuned for the current session $S_i$. Layer 2: Morphological Rejection Filtering (Wick Analysis) To filter out "Mean Reversion Traps" (False Breakouts), the script analyzes the morphology of the signal candle using a Wick-to-Body Ratio test. ・The Trap: A candle that breaks the band but closes with a long rejection wick indicates exhausted momentum. ・The Filter: Let $R_{wb} = \text{Body} / \text{RejectionWick}$. If $R_{wb} < \text{Threshold}_{Si}$,, the signal is suppressed.This mathematical filter prevents the user from entering trades where the market sentiment has already reversed within the candle's duration.Layer 3: The "Scramble" State (Momentum Continuity) The script introduces a unique state machine called "Scramble." ・Purpose: To detect re-entry opportunities during a high-momentum trend. ・Mechanism: If the market enters an "Endure" state (a pause in expansion) but validates specific continuity conditions (price remains within the $2\sigma$ corridor without violating the trend vector), the algorithm flags a "Scramble" signal. This effectively distinguishes between a "Trend Reversal" and a "Trend Pause." 4. Operational Features & Visual Guide This tool is designed to serve as a rigorous "Filter" for manual trading. ・The "Mushy" Zone: Visualized by a gray fill between bands. This represents a low-kurtosis, mean-reverting market state where trend-following strategies are statistically disadvantageous. The algorithm disables all signals in this zone. ・Secure & Breakeven Visualization: The script projects potential exit points based on Maximum Favorable Excursion (MFE) logic calculated from the entry bar's synthetic price. This assists the user in objective trade management. ・Hard-Coded Optimization: Users will notice that many parameters are locked or preset. This is intentional. These values are derived from extensive backtesting on EURUSD and JPY pairs and serve as the "Control" variables for this research. 5. Conclusion The Band Walk Detector TENKYO is a comprehensive logical framework that integrates time, volatility, and morphology. It denies the simplistic "one-size-fits-all" approach of standard indicators in favor of a granular, session-adaptive model. It provides the trader with a computationally verified "Go/No-Go" signal, bridging the gap between human intuition and algorithmic precision.
Pine Script® indicator
by bonno_original