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Trend Analizi

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.
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BOSWaves tarafından
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).
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D_QUANT tarafından
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.
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BigBeluga tarafından
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.
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dylancui9 tarafından
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.
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kp_eu_de tarafından
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.
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EchoQuan tarafından
[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.
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rahulingole4712 tarafından
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.
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Phantom_Trader_Global tarafından
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.
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babaflargslugdook tarafından
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)
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isaackirby2004 tarafından
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.
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Finntech1 tarafından
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® göstergesi
Jammal tarafından
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® göstergesi
bonno_original tarafından
Smart TrendSmart Trend — TradingView Indicator Documentation © 2026 Arup Sarkar Indicator Name: Smart Trend Version: 1.0 What It Does Smart Trend is a trend detection and momentum analysis indicator for TradingView. It identifies high-probability trend flips, strong momentum moves, volatility expansions, and short-term counter-trend signals. It combines: - Current timeframe trend lines (EMA + SMA) - Higher timeframe EMA context (1H + 4H + Daily) - ATR-based dynamic exits - Volume confirmation Smart Trend is designed to: - Detect trend changes early - Confirm momentum strength - Highlight weakening trends before reversals - Keep charts clean and actionable How It Works 1. Trend Detection: Trend Line (EMA21 + SMA50): represents current trend direction 2. Higher Timeframe EMA (HTF EMA 1H): confirms alignment Trend Conditions: - Uptrend: candle closes above trend line and HTF EMA - Downtrend: candle closes below trend line and HTF EMA - Choppy / Flat: neither uptrend nor downtrend 2. Momentum Strength - Calculated using slope of trend line EMA - Candle colors indicate momentum: * Bullish: green, opacity based on strength * Bearish: red, opacity based on strength * Neutral / Choppy: grey 3. Alerts - Smart Trend sends alerts once per confirmed condition on candle close: - Uptrend Flip (U) — 2-candle confirmation, trend turns bullish - Downtrend Flip (D) — 2-candle confirmation, trend turns bearish - Strong Bullish Momentum — trend up + ATR breakout + volume confirmation - Strong Bearish Momentum — trend down + ATR breakout + volume confirmation - Volatility Expansion — ATR rising - Volatility Expansion After Squeeze — breakout after low-volatility period - Counter-Trend Up — short-term uptrend vs HTF downtrend - Counter-Trend Down — short-term downtrend vs HTF uptrend 4. ATR Dynamic Exits - ATR (Average True Range) over last 50 days is used to calculate dynamic stop levels - Plots longExit and shortExit levels - Helps traders manage risk dynamically based on market volatility 5. Visuals - Trend Line: colored by direction (green/red/gray) - Smoothed 4H+1D EMA: thin orange line for higher timeframe context - Labels: “U” for uptrend flips, “D” for downtrend flips - Counter-trend signals: small triangles above/below bars - ATR exit lines: semi-transparent for clean chart Benefits - Detects trend reversals early - Confirms strong momentum moves - Highlights weakening trends using volume and ATR - Provides dynamic exit levels for risk management - Keeps chart clean and readable - Alerts are actionable and trigger once per pattern confirmation Conclusion Smart Trend is an all-in-one trend and momentum tool for traders who want: - Early detection of trend flips - High-probability momentum signals - Volatility-aware trade management - Minimal visual clutter with maximum actionable insights Smart Trend can be combined with support/resistance levels, higher timeframe analysis, and other indicators to increase confidence and improve trade decisions.
Pine Script® göstergesi
arupnj2018 tarafından
Pivot Points - Market Structure with percent changeRULES: 1) Inputs that control pivots • leftBars: how many bars to the left of the pivot must be lower (for a high pivot) or higher (for a low pivot). • rightBars: how many bars to the right of the pivot must be lower (for a high pivot) or higher (for a low pivot). These two values define the “strictness” of a swing. 2) Pivot High logic (ta.pivothigh) A pivot high is confirmed at bar t when: • The high at t is the maximum within the window: ○ from t - leftBars through t + rightBars • In practical terms: ○ the prior leftBars bars have highs below that high ○ the next rightBars bars have highs below that high In code: • ph = ta.pivothigh(high, leftBars, rightBars) Behavior: • ph returns the pivot high price, but only after rightBars future bars have printed. • Until then it returns na. Where it is plotted: • When ph is confirmed on the current bar, the actual pivot occurred rightBars bars ago, so we place the label at: ○ pivotBar = bar_index - rightBars ○ price = ph 3) Pivot Low logic (ta.pivotlow) A pivot low is confirmed at bar t when: • The low at t is the minimum within the window: ○ from t - leftBars through t + rightBars • In practical terms: ○ the prior leftBars bars have lows above that low ○ the next rightBars bars have lows above that low In code: • pl = ta.pivotlow(low, leftBars, rightBars) Same confirmation behavior: • pl only becomes non-na after rightBars bars have passed. • The label is plotted at bar_index - rightBars. 4) Confirmation delay (important) Because pivots need “future” bars to confirm, every pivot is lagged by rightBars bars. This is expected and correct: it prevents repainting of the pivot point once confirmed. 5) The alternation rule (your added constraint) On top of the raw pivot detection above, the script enforces: • You cannot accept another pivot high until a pivot low has been accepted. • You cannot accept another pivot low until a pivot high has been accepted. Implementation: • Track lastAccepted = "high" or "low". • Only process pivotHigh when lastAccepted != "high". • Only process pivotLow when lastAccepted != "low". This is what prevents consecutive HHs (or LHs) printing without an intervening HL/LL pivot, and vice versa. REALTIME BARS THAT ARE NOT REPAINTED BUT HAVE A 3 BAR DELAY ON THE CHART TIMEFRAME: The confirmation delay is exactly rightBars bars. • A pivot is only confirmed after rightBars future bars have printed. • So the signal arrives rightBars × your chart timeframe after the actual turning point. Examples: • If rightBars = 3: ○ On a Daily chart: ~3 trading days after the pivot bar. ○ On a 65-minute chart: 3 × 65 = 195 minutes (about 3h 15m) after the pivot bar. ○ On a 10-minute chart: 30 minutes after the pivot bar. Note: the pivot label is plotted back on the pivot bar (bar_index - rightBars), but you only learn it rightBars bars later.
Pine Script® göstergesi
mikebridge tarafından
Volume Profile - Density of Density [DAFE]Volume Profile - Density of Density The Art & Science of Market Architecture: An AI-Enhanced Volume Profile & Order Flow Engine with a Revolutionary Visualization Core. █ PHILOSOPHY: BEYOND THE PROFILE, INTO THE DENSITY Standard Volume Profile shows you a one-dimensional story: where volume was traded. It shows you the first layer of density. But this is like looking at a galaxy and only seeing the stars, completely missing the gravitational forces, the dark matter, and the nebulae that give it structure. Volume Profile - Density of Density (VP-DoD) is a revolutionary leap forward. It was engineered to analyze the second order of market data: the properties of the density itself . We don't just ask "Where did volume trade?" We ask " Why did it trade there? What was the character of that volume? What is the statistical significance of its shape? What is the probability of what happens next?" This is a complete, institutional-grade analytical framework built on the DAFE principle: Data Analysis For Execution . It fuses a higher-timeframe structural engine, a proprietary microstructure delta engine, and a Bayesian AI into a single, cohesive intelligence system. It is designed to transform your chart from a flat, lagging record of the past into a living, three-dimensional map of market structure and intention. █ WHAT MAKES VP-DoD ULTIMATE UNLIKE ANY OTHER PROFILE TOOL? This is not just another volume profile script. It stands apart due to a suite of proprietary features previously unseen on this platform. Higher Timeframe (HTF) Core: While other profiles are trapped by the noise of your current chart, VP-DoD builds its foundation on a higher timeframe of your choice (e.g., Daily data on a 15m chart). This is its greatest strength. It filters out intraday noise to reveal the true, macro architectural levels where institutions have built their positions. Microstructure Hybrid Delta Engine: Standard delta is primitive. Our engine provides a far more accurate picture of order flow by simulating tick data and analyzing the battle between candle bodies (aggression) and wicks (absorption). It sees the hidden story inside the volume. Bayesian AI Confidence Model: This is not a simple weighted score. VP-DoD incorporates a genuine Bayesian inference model. It starts with a neutral "belief" about the market and continuously updates its Bullish/Bearish Confidence percentage based on new evidence from delta, POC velocity, and price action. It thinks like a professional quant, providing you with a real-time statistical edge. Advanced Statistical Analysis: It calculates metrics found nowhere else, such as Profile Entropy (a measure of market disorder) and Volatility Skew (a measure of fear vs. greed from the derivatives market), and normalizes them with Z-Scores for universal applicability. Revolutionary Visualization Engine: Data should be intuitive and beautiful. VP-DoD features 14 distinct, animated, and theme-aware rendering modes . From "Nebula Plasma" and "Liquid Metal" to "DNA Helix" and "Constellation Map," you can transform raw data into interactive data art, allowing you to perceive market structure in a way that resonates with your unique analytical style. █ THE ART OF ANALYSIS: A REVOLUTIONARY VISUALIZATION CORE Data is useless if it isn't intuitive. VP-DoD shatters the mold of boring, static indicators with a state-of-the-art visualization engine. This is where data analysis becomes data art. The Profile Itself: 14 Modes of Perception Choose how you want to see the market's architecture: Nebula Plasma & Quantum Matrix: Futuristic, cyberpunk aesthetics with vibrant glow effects that make HVNs and POCs pulse with energy. Thermal Vision & Heat Shimmer: Renders the profile as a heatmap, instantly drawing your eye to the "hottest" zones of institutional liquidity. Liquid Metal & Crystalline: Creates a tangible, almost physical representation of volume with metallic sheens, animated light flows, and faceted structures. 3D Depth Map & Prismatic Refraction: Uses layering and color channel separation to create a stunning illusion of depth, separating the profile into its core components. Particle Field & Constellation Map: Abstract, beautiful data art modes that represent volume as animated particles or glowing stars, connecting major nodes like celestial bodies. DNA Helix & Magnetic Field: Dynamic, animated modes that visualize the forces of attraction and repulsion around the POC and Value Area, representing the market's underlying code. The POC & Value Area: A Living, Breathing Structure The POC and VA are no longer static lines. They are a dynamic, interactive system designed for immediate contextual awareness: Multi-Layered Glow Effects: The POC and VA lines are rendered with multiple layers of glowing, pulsating light, giving them a vibrant, three-dimensional presence on your chart. Dynamic Labels & Badges: Each key level (POC, VAH, VAL) features an advanced label block showing not just the price, but the real-time distance from the current price, and a status badge (e.g., "▲ ABOVE", "◆ INSIDE") that changes color and text based on price interaction. Intelligent Color Adaptation: The color of the VAH and VAL lines dynamically changes. A VAH line will glow bright green when price is breaking above it, but will appear dim and neutral when price is far below it, providing instant visual cues about market context. █ ACTIONABLE INTELLIGENCE: THE SIGNAL & ALERT SYSTEM VP-DoD is not just an analytical tool; it's a complete trading framework with a built-in, context-aware signal system. Absorption/Distribution Signals (🏦): The "Whale Signal." Triggers when price and delta are in stark divergence, indicating large passive orders are absorbing the market—a classic institutional maneuver. Coiling Signals (⚡): A high-probability setup that alerts you when the market is compressing (VA contracting, low entropy), storing energy for a significant breakout. POC Shift & VA Breakout Signals: Trend-initiation signals that fire when value is migrating and the market breaks out of its established balance area with conviction. Delta Extreme Signals: Contrarian reversal signals that detect capitulation at the extremes of buying or selling pressure, often marking key turning points. █ THE DASHBOARD: YOUR INSTITUTIONAL COMMAND CENTER The professional-grade dashboard provides a real-time, comprehensive overview of the market's hidden state. Market Regime: Instantly know if the market is BALANCED, COILING, TRENDING , or VOLATILE . Advanced Metrics: Monitor Entropy (disorder), Volatility Skew (fear/greed), and a composite Risk Score . Institutional Score: See the calculated Liquidity Score and Conviction Level , grading the quality of the current market structure. Bayesian AI: The crown jewel. See the real-time, AI-calculated Bull vs. Bear Confidence percentages, giving you a statistical edge on the probable direction of the next move. Breakout Gauge: A forward-looking metric that calculates the Breakout Probability and its likely Bias (Bullish/Bearish). █ DEVELOPMENT PHILOSOPHY VP-DoD Ultimate was created out of a passion for revealing the hidden architecture of the market. We believe that the most profound truths are found at the intersection of rigorous science and intuitive art. This tool is the culmination of thousands of hours of research into market microstructure, statistical analysis, and data visualization. It is for the trader who is no longer satisfied with lagging indicators and seeks a deeper, more contextual understanding of the market auction. It is for the trader who believes that analysis should be not only effective but also beautiful. VP-DoD Ultimate is designed to help you ride the trend with confidence, but more importantly, to give you the data-driven intelligence to anticipate that final, critical bend. █ DISCLAIMER AND BEST PRACTICES CONTEXT IS KING: This is an advanced contextual tool, not a simple "buy/sell" signal indicator. Use its intelligence to frame your trades within your own strategy. RISK MANAGEMENT IS PARAMOUNT: All trading involves substantial risk. The signals and levels provided are based on historical data and statistical probability, not guarantees. HTF IS YOUR GUIDE: For the highest probability setups, use the HTF feature (e.g., 240m or Daily) to identify macro structure. Then, execute trades on a lower timeframe based on interactions with these key macro levels. ALIGN WITH THE REGIME: Pay close attention to the "Regime" and "Entropy" readouts on the dashboard. Trading a breakout strategy during a high-entropy "RANGING" regime is a low-probability endeavor. Align your strategy with the market's current state. "The trend is your friend, except at the end where it bends." — Ed Seykota, Market Wizard Taking you to school. - Dskyz, Trade with Volume. Trade with Density. Trade with DAFE
Pine Script® göstergesi
DskyzInvestments tarafından
4
Sequential 9(Setup Count)- KoRCThis indicator is a simplified Sequential 9-count (Setup 9) tool inspired by widely known “sequential counting” concepts. It detects potential exhaustion points by counting consecutive closes relative to the close 4 bars earlier: Buy Setup (DIP): close < close for 9 consecutive bars (optional strict mode: <=) Sell Setup (TOP): close > close for 9 consecutive bars (optional strict mode: >=) Enhancements / Filters (optional): Trend filter (default ON): uses EMA(200) as a macro trend filter and EMA(20) as a fast context filter. Volatility filter (optional): ignores signals in low-volatility regimes using ATR% threshold. Dedupe (default ON): prevents repeated signals within a short window (one-shot per swing concept). Perfected highlight: Signals are visually emphasized when a simple “perfected” condition is met (bar 8 or 9 extends beyond recent reference highs/lows), displayed with brighter colors. How to use: Use DIP/TOP labels as potential exhaustion alerts, not standalone trade signals. Combine with your own risk management and confirmation tools. Disclaimer: Not affiliated with or endorsed by any third-party. This script is provided for educational/visualization purposes only and does not constitute financial advice.
Pine Script® göstergesi
KoRC_Trading tarafından