Mulakan

Penunjuk dan strategi

EMA Crossover with Pine Logs2We are exclusively licensed Austria Guides and count on smaller groups – this is how communication with the guests works best. Exciting facts and a large portion of humour are part of our tours, just like a lot of experience and knowledge off the beaten track. We even infect die-hard Vienna connoisseurs with our enthusiasm for the city! If you want to get to know Vienna differently than the average tourist, then we are your perfect partner: We make sure that your travel stories are nowhere to be found.
Strategi Pine Script®
oleh agodovanik
Lanovyx# Lanovyx — Setup Window Confluence System ## The Problem This Solves Traditional confluence indicators require all conditions to align on the exact same bar: stochastic must be oversold AND price must touch support AND divergence must form — all simultaneously. In real markets, this rarely happens. Price touches VWAP -2σ, but stochastic doesn't reach oversold until 3 bars later. The opportunity is missed. **Lanovyx solves this with the Setup Window methodology.** --- ## Core Innovation: Setup Windows Instead of requiring simultaneous conditions, Lanovyx separates trading signals into two phases: **Phase 1 — Context Event (Setup Activation)** When a meaningful event occurs, it "opens a window" that stays active for a configurable number of bars: - Price touches VWAP ±2σ or ±3σ band → window opens - Price tests Previous Day High/Low → window opens - Stochastic divergence forms → window opens - Opening Range breakout occurs → window opens - Price reaches Support/Resistance level → window opens Each event adds to a cumulative "setup score" (capped at 8). Higher scores indicate stronger context. **Phase 2 — Trigger (Signal Generation)** Within the active window, when stochastic conditions confirm, a signal fires. The trigger doesn't need to occur on the same bar as the context — it just needs to occur while the window is open. This two-phase approach captures setups that traditional indicators miss entirely. --- ## Why Stochastic + VWAP Confluence Works **VWAP (Volume-Weighted Average Price)** tells us where institutional money has transacted. The standard deviation bands identify statistical extremes: - Price at VWAP -2σ is extended to the downside (potential mean reversion long) - Price at VWAP +2σ is extended to the upside (potential mean reversion short) **Stochastic Oscillator** measures momentum exhaustion. When price reaches a VWAP extreme AND stochastic shows momentum reversing, we have confluence of: 1. Price extension (VWAP bands) 2. Momentum exhaustion (Stochastic) 3. Context validation (Setup Window score) The multi-lane stochastic (14/21/55 periods) adds timeframe confluence — when fast, medium, and slow stochastics align, the signal is stronger. --- ## Five Signal Families Each family targets a specific market condition: ### 1. Trend Entry (T) — Blue Labels **When:** Stochastic pulls back to 25-55 zone (longs) or 45-75 zone (shorts) during established trend **Logic:** In trending markets, pullbacks to the "value zone" offer low-risk entries with trend **Best for:** Trending days with clear directional bias ### 2. Mean Reversion (R) — Green/Red Labels **When:** Stochastic exits oversold (<20) or overbought (>80) with active setup window **Logic:** At VWAP extremes with momentum exhaustion, price tends to revert to mean **Best for:** Range-bound, choppy markets **Requires:** Active setup window (context event must have occurred) ### 3. Breakout (B) — Orange Labels **When:** Stochastic lanes compress ("coil") then expand, crossing the 50 midline **Logic:** Compression precedes expansion; breakout from tight range signals new trend **Best for:** Transition days, post-squeeze moves ### 4. Momentum (M) — Green/Red Labels **When:** Stochastic crosses 50 from extreme zone (<25 or >75) within lookback period **Logic:** Catches V-shaped reversals where regime detection lags the move **Best for:** Fast reversals, news-driven moves ### 5. Counter-Signal / FADE (C) — Purple Labels **When:** A signal fires and immediately fails (stochastic reverses sharply against it) **Logic:** Failed signals often lead to strong moves in the opposite direction (trapped traders) **Confidence gating:** High-confidence fades generate signals; low-confidence show warnings only --- ## Institutional Key Levels Lanovyx incorporates levels that institutional traders use: - **PDH/PDL** (Previous Day High/Low) — Major support/resistance where stops cluster - **PDC** (Previous Day Close) — Settlement price, gap reference - **ORB** (Opening Range) — First 15 minutes high/low, breakout trigger - **IB** (Initial Balance) — First 60 minutes range, institutional benchmark These levels automatically activate setup windows when price interacts with them, adding to the setup score. --- ## Filtering System **ADX Filter:** In strong trends (ADX > 25), blocks counter-trend mean reversion signals to avoid fighting momentum. **HTF Bias Filter:** Optional alignment with higher timeframe (e.g., 1-hour) EMAs. Can block or demote signals that oppose the larger trend. **Regime Detection:** Classifies market as Uptrend, Downtrend, Sideways, or Squeeze using EMA alignment and market structure (HH/HL/LH/LL patterns). --- ## How to Use 1. **Wait for Setup** — Watch for context events (VWAP band touch, key level test, divergence) 2. **Check the Score** — Higher setup scores indicate stronger context (visible in debug mode) 3. **Wait for Trigger** — Let stochastic confirm within the window 4. **Confirm Regime** — Ensure signal type matches market condition 5. **Manage Risk** — Use the ATR-based stop/target levels shown after signals **Strong signals (★)** appear when multiple confluence factors align — these are highest probability setups. --- ## Settings Overview | Setting | Default | Purpose | |---------|---------|---------| | Setup Window | 10 bars | How long context events stay active | | Entry Zone | 25-55 | Stochastic zone for trend pullback entries | | OS/OB Levels | 20/80 | Stochastic extremes for mean reversion | | Stop Loss | 1.5 ATR | Risk management distance | | Target 1 | 2.0 ATR | First profit target (1.33:1 R:R) | Recommended timeframes: 5-minute and 15-minute charts. --- ## Disclaimer This indicator is for educational purposes only and does not constitute financial advice. Past performance does not guarantee future results. Always use proper risk management and never risk more than you can afford to lose. No indicator can predict the future — use this as one input in your trading decision process, not as a standalone system.
Penunjuk Pine Script®
oleh sfbayman
TSM 1987 RSI + Supertrend + High Volume StrategyRSI + Supertrend + High Volume Strategy is a rule-based trading strategy designed to capture high-probability trend reversals and continuations using a combination of trend, momentum, and volume confirmation. The strategy uses Supertrend to identify the primary market direction, RSI to confirm momentum strength, and High Volume to validate participation from strong market players. Trades are triggered only when all conditions align, helping to filter out low-quality signals. Each BUY and SELL signal is plotted on the chart along with the exact trade date, and the script is fully compatible with TradingView’s Strategy Tester for backtesting performance across different markets and timeframes. 🔑 Core Logic BUY Supertrend turns bullish RSI is above the defined trend level Volume is significantly higher than average SELL Supertrend turns bearish RSI is below the defined trend level Volume confirms strong selling pressure 🎯 Best Use Works well for intraday and swing trading Suitable for stocks, indices, crypto, and forex Designed for trend-following with confirmation ⚠️ Disclaimer This strategy is for educational purposes only. Always use proper risk management and stop-loss. Past performance does not guarantee future results.
Strategi Pine Script®
oleh SARAVANANTamilShareMarket
TSM RSI + Supertrend + High Volume Strategy (BACKTESTED) 1987RSI + Supertrend + High Volume Strategy is a rule-based trading strategy designed to capture high-probability trend reversals and continuations using a combination of trend, momentum, and volume confirmation. The strategy uses Supertrend to identify the primary market direction, RSI to confirm momentum strength, and High Volume to validate participation from strong market players. Trades are triggered only when all conditions align, helping to filter out low-quality signals. Each BUY and SELL signal is plotted on the chart along with the exact trade date, and the script is fully compatible with TradingView’s Strategy Tester for backtesting performance across different markets and timeframes. Core Logic BUY Supertrend turns bullish RSI is above the defined trend level Volume is significantly higher than average SELL Supertrend turns bearish RSI is below the defined trend level Volume confirms strong selling pressure 🎯 Best Use Works well for intraday and swing trading Suitable for stocks, indices, crypto, and forex Designed for trend-following with confirmation ⚠️ Disclaimer This strategy is for educational purposes only. Always use proper risk management and stop-loss. Past performance does not guarantee future results.
Strategi Pine Script®
oleh SARAVANANTamilShareMarket
Bitcoin Halving Cycles [DotGain]Halving Cycles A lightweight, time-anchored Bitcoin halving cycle visualizer built for clean charting, repeatable process planning, and simple profit/DCA timing references. This Code was heavily inspired by KevinSvenson_ who created Bitcoin Halving Cycle Profit . What this indicator does This script plots the key “cycle landmarks” relative to each halving date: Halving (⛏) – the cycle anchor Profit START – marks the beginning of the post-halving profit window (default: 40 weeks ) Profit END / Last Call – marks the final phase of the profit window (default: 77 weeks ) DCA START – marks the point where long-term accumulation becomes the focus again (default: 135 weeks ) How to read it Vertical lines = the exact cycle milestones Bottom labels = description of each milestone aligned to its line (keeps the chart clean) Green background (optional) = active Profit Zone on existing bars Red background (optional) = optional warning zone after Profit END HUD Panel (top-right) The HUD gives you a fast “where are we in the cycle?” view with two modes: Current Cycle Shows: Halving date, Weeks since, and time remaining to Profit START / Last Call / DCA START within the current cycle. Next Halving (Projection) Shows: Countdown to the next enabled future halving, plus the projected weeks from today to Profit START / Last Call / DCA START after that future halving. Future Halvings (manual) You can manually add up to 3 future halving dates (Halving #1–#3). This is useful for forward planning and cycle projection even before the event happens. Enable Halving #1 / #2 / #3 Set Year / Month / Day for each Optional: show/hide future markers & projections Note: background zones only shade existing bars . Future projections are shown via lines/labels. Settings overview Show all cycles – plots every enabled cycle (historical + optional future). If disabled, only the current cycle is drawn. Show Profit Zone background – green shading during the active profit window (current cycle only). Show vertical markers + labels – toggles all milestone lines + labels. Show HUD – toggles the HUD panel. HUD Mode – switch between Current Cycle and Next Halving (Projection). Cycle Logic – edit offsets in weeks (Profit START / Profit END / DCA START). Optional Warning Zone – show a post-profit warning shading for a chosen number of weeks. Have fun :) Disclaimer This Halving Cycles indicator is provided for informational and educational purposes only. It does not, and should not be construed as, financial, investment, or trading advice. This indicator is an independent implementation of a time-based Bitcoin halving cycle visualization tool and is not affiliated with, or endorsed by, any third-party trading systems, strategies, protocols, or trademarked methodologies. The cycle zones, milestone markers, and countdown values displayed by this indicator are generated by a predefined set of algorithmic rules based on historical halving dates and user-defined time offsets. They do not constitute a direct recommendation to buy, sell, or hold any financial instrument or digital asset. All trading and investing in financial markets involves a substantial risk of loss. You may lose part or all of your invested capital. Past performance does not guarantee future results. This indicator highlights historical and projected time-based market cycles and may produce false, lagging, incomplete, or misleading signals. Market behavior is influenced by many external factors and can deviate significantly from historical patterns or expectations. The creator DotGain assumes no responsibility or liability for any financial losses, damages, or decisions made based on the use of this indicator or the information it provides. You are solely responsible for your own trading and investment decisions. Always conduct your own research (DYOR), use proper risk management, validate insights with additional tools or analysis, and consider your personal financial situation and risk tolerance before making any financial decision.
Penunjuk Pine Script®
oleh DotGain
Price Acceptance MapPrice Acceptance Map Price Acceptance Map is a read-only market context indicator that evaluates whether newly asserted price levels are being accepted, rejected, or remain undefined by subsequent market behavior. Rather than treating trend continuation as confirmation, this indicator frames directional price movement as an attempt to establish a new auction level. That attempt must then be validated or rejected after the fact. The indicator follows three conceptual steps: Environment Qualification Evaluation is permitted only when market structure and volatility conditions are suitable. When these conditions are not met, the indicator intentionally remains silent. Level Assertion Detection Meaningful price expansion beyond recent balance is interpreted as a level claim. Gradual movement may result in no level being defined. Acceptance Verdict Subsequent price behavior determines whether the level is: Accepted (held by the market), Rejected (failed and returned into prior balance), or Undefined (no valid level requiring a verdict). The current state is displayed using a simple, non-interpretive panel: ACCEPTED / LEVEL ACCEPTED NOT ACCEPTED / LEVEL REJECTED UNRESOLVED / LEVEL UNDEFINED Important Notes Indicator only (no signals, no orders) Evaluated on confirmed bar close No intentional repaint or lookahead logic Designed for contextual analysis, not prediction Price Acceptance Map is intended to clarify when the market is making a decision — and when it is not.
Penunjuk Pine Script®
oleh ibotrade
Dual HTF EMAMulti-timeframe Exponential Moving Average (EMA) indicator plots two separate higher timeframe (HTF) EMAs of your choice. Displays four EMAs per HTF while providing optional background coloring (bullish/bearish). The background coloring occurs when two EMA's cross per HTF. User can select two of the four EMAs to determine the trend direction as they cross creating the background color. User can configure timeframe, EMA lengths, EMA cross and background, source, and visibility; separately for each timeframe. Default lengths are 9, 21, 50, 200 with source as closed and EMA cross background from EMA 1 and EMA 3. Also clear visual distinction using thick solid lines for HTF 1 and thin dashed lines for HTF 2. Uses request.security() with gaps=barmerge.gaps_on to avoid staircase effects on lower timeframes. This script is ideal for multi-timeframe analysis, helping traders align shorter-term price movements with broader trends from higher timeframes without cluttering the chart.
Penunjuk Pine Script®
oleh Eightgent7
Engulfing Candle Mid-pointsThis Pine Script, “Engulfing Candle Mid-points,” identifies bullish and bearish engulfing candles within a user-selected intraday time range. For a candle to qualify, it must fully engulf the previous candle’s body in the opposite direction and meet a configurable minimum body size in points. When such a candle is detected, the script draws a horizontal line at the mid-point of the candle’s body, extending forward for a user-defined number of bars. The script stores only the five most recent bullish and bearish lines to keep the chart clean, and all line colors, widths, and extension lengths are configurable, allowing traders to visually track significant price moves during specific trading sessions.
Penunjuk Pine Script®
oleh andrew_blichasz
UFX PRO How it works The indicator plots a single line on the chart that changes position and color depending on the trend: 🟢 Uptrend: The SuperTrend line is below the price → bullish bias 🔴 Downtrend: The SuperTrend line is above the price → bearish bias When the price crosses the SuperTrend line, it often signals a potential trend reversal. ✅ Advantages ✔ Easy to read ✔ Works well in trending markets ✔ Adaptive to volatility ✔ Useful for stops and trend confirmation
Penunjuk Pine Script®
oleh UFXAlgo
BTC - Power Law 1.5: Dynamic 50/50 Decay OVERVIEW Most Bitcoin models treat the asset as if it exists in a vacuum of infinite exponential growth. The classical Power Law (v1.0) was a groundbreaking start, but as Bitcoin matures into a multi-trillion dollar institutional asset, our models must account for the laws of physics and liquidity. The Power Law 1.5: Dynamic 50/50 Decay is a second-generation structural engine. It doesn't just draw a line; it calculates the structural "Center of Gravity" of Bitcoin’s adoption curve while accounting for the natural maturation (decay) of the network’s growth speed. THE MATHEMATICAL BACKBONE: QUANTILE MEDIAN CALCULATION The "Fair Value" line (blue) is derived using a Log-Log Linear Regression focused on the 50th percentile (Median). The script first transforms the price and the time (days since the Genesis Block) into a logarithmic scale. It then calculates a power-law constant by finding the Absolute Least Deviation across the entire historical dataset since 2011. Specifically, it uses the formula: Price = 10^(Intercept + Slope * log10(Days)) . To ensure the line is a true median, the script calculates the Median Offset of every historical price point from the raw regression line. By shifting the intercept by this median value, we guarantee that exactly 50% of all weekly bars fall above the curve and 50% fall below it, creating a robust, non-biased structural center. THE ALPHA SHADOW: DYNAMIC EXPONENT PROJECTION Unlike standard power-law projections that rely on a static slope, the "Alpha Shadow" (the projection extending from the blue backbone) utilizes a Time-Varying Exponent Model . The model acknowledges that Bitcoin's growth speed—the exponent 'b'—is a decaying function of time, reflecting the diminishing returns of a maturing asset. The script recalculated the Instantaneous Slope on every single bar using the formula: Future_Slope = Initial_Slope - (Decay_Rate * log10(Total_Days_from_Genesis)) . While the Decay Rate (default 0.045) serves as a structural sensitivity constant, its application ensures the growth speed is a dynamic variable rather than a fixed number. Each segment of the dashed green "Shadow" is a unique power-law arc calculated for its specific future time window. This ensures the projection isn't just a straight line drawn on a log chart, but a mathematically tethered curve that "feels" the weight of increasing market capitalization and respects the reality of global liquidity constraints as we approach 2029. HOW TO READ THE CHART • The Backbone (Solid Blue): This is the 50/50 Fair Value. When price is below this line, Bitcoin is structurally "cheap." When price is far above it, the asset is in a state of cyclical expansion. • The Alpha Shadow (Green): This is the mathematical projection of the current curve into 2029. It shows the path of "Fair Value" as the network continues to mature. • The Regime Audit (Dashboard): A real-time table in the middle-right of your chart provides an audit of the model's integrity, including the current slope (b) and the projected Fair Price for Jan 1, 2029. WHY THIS IS "FRESH" Most open-source Power Law scripts on TradingView utilize a Static Linear Regression —calculating a single constant slope that is applied equally to 2011 and 2029. Furthermore, common community models often rely on "Outer Band" fitting (connecting historical cycle peaks to cycle lows). While visually appealing, these methods can be highly sensitive to "Black Swan" outliers and often assume Bitcoin’s growth velocity is a permanent constant. This script stands out by introducing a Maturation Framework . Instead of fitting to volatile extremes, we anchor the logic to a 50/50 Quantile Median , creating a backbone that is mathematically centered regardless of cyclical noise. By then applying a Dynamic Decay Factor to the growth exponent, we move away from the "static bands" approach and toward a model that respects the physical reality of a maturing, multi-trillion-dollar asset class. This provides a structurally grounded, institutional-grade view of Bitcoin’s trajectory that accounts for the diminishing returns inherent in global adoption. DISCLAIMER This script is for educational and macro-analytical purposes only. It does not constitute financial advice. The 2029 projection is a mathematical extrapolation based on historical data and decay constants; it is not a guarantee of future price action. TAGS bitcoin, powerlaw, macro, regression, fairvalue, btc, projection, quantitative, math, structural, Rob Maths, robmaths, Rob_Maths
Penunjuk Pine Script®
oleh Rob_Maths
True FVGsThis script highlights 3-candle Fair Value Gaps (FVGs) on your chart, showing areas where price moved quickly and left potential gaps in market structure. Bullish FVGs are shown with green boxes and suggest possible support, while bearish FVGs are shown with red boxes and suggest possible resistance. It also includes doji candles—very small-bodied candles that indicate indecision—so these patterns are not missed. The script displays the most recent 5 FVGs, making it easy to spot recent potential areas where price may react.
Penunjuk Pine Script®
oleh andrew_blichasz
Smart Liquidity & Step-TrendSmart Liquidity & Step-Trend Overview The Smart Liquidity & Step-Trend is a technical analysis tool designed to identify market manipulation points, specifically Liquidity Sweeps, and filter them using a Dynamic Multi-Timeframe (MTF) Trend. By combining Price Action concepts with institutional flow logic, this indicator helps traders spot high-probability reversal zones where "Smart Money" typically enters the market by capturing retail stop-losses. The Core Concept: Where is the Liquidity? Markets do not move randomly. Institutional players require significant liquidity to fill their large orders. This liquidity is often found where retail traders place their stop-loss orders: above obvious swing highs and below obvious swing lows. A Liquidity Sweep occurs when the price briefly breaks through these key levels to trigger stops/orders and then immediately reverses back into the range. This indicator visualizes these events as potential turning points. To increase the probability of success, the Step-Trend (EMA) provides a higher-timeframe context, ensuring you are aware of the dominant market direction. Key Features Advanced Sweep Detection: Automatically identifies false breakouts of key swing highs and lows. Dynamic MTF Logic: - Trend Filter: The EMA (Exponential Moving Average) is calculated on a timeframe of your choice (e.g., 4H) even while viewing a lower timeframe (e.g., 15m). - MTF Swings: Support and Resistance zones are derived from MTF data for higher reliability. Temporary vs. Historical Zones: - Mitigation Logic (Default): Zones are automatically deleted once the price closes through them. This keeps your chart clean, showing only active and relevant levels that haven't been "tested" yet. - History Mode: Toggle "Show Historical Zones" to keep all past levels on the chart for backtesting and analysis. ATR Filter (Zone Importance): Adjustable sensitivity to filter out market noise and focus on significant liquidity grabs. How to Trade with This Indicator 1. Trend Confluence (Recommended) This is the highest probability setup. - BUY Signal: Look for a "SUPPORT" zone (teal) forming below the price while the Step-Trend EMA indicates an uptrend. This suggests a "buy-the-dip" manipulation. Use the "Trend Confluence Buy Signal" alert. - SELL Signal: Look for a "RESISTANCE" zone (orange) forming above the price while the Step-Trend EMA indicates a downtrend. Use the "Trend Confluence Sell Signal" alert. 2. Scalping & Reversals - Users can utilize the "SUPPORT" and "RESISTANCE" zones as potential targets or quick scalp entry points even against the main trend. Use the "Any Trend" sweep alerts for this style of trading. Settings Explained - Liquidity & Trend Timeframe: The timeframe used for trend calculation and swing detection. - Swing Sensitivity: How "obvious" a high or low must be to be considered a liquidity target. - Zone Importance (ATR Filter): Defines how deep the sweep must be relative to current volatility. - Show Historical Zones: Switch between a clean chart (temporary zones) and a backtesting view (historical zones). Important Notice: No indicator is 100% accurate. This tool is intended to confirm your own analysis and trading strategies. Always use proper Risk Management and do not trade based on just one indicator. I hope this tool will help you improve your trading!
Penunjuk Pine Script®
oleh mk77777
ARX Killzone Session Flags (UK)This script provides minimal session time flags for London and New York, designed to offer time-based context only. It marks the start and end of predefined session windows using small, non-intrusive labels directly on the chart. The script automatically adjusts for UK daylight saving time (GMT / BST) using the Europe/London timezone, requiring no manual changes throughout the year. This tool does not generate trade signals, does not analyse price, and does not provide execution guidance. Educational and contextual use only. Not financial advice.
Penunjuk Pine Script®
oleh ARX_PriceTime
PSAR Laboratory [DAFE]PSAR Laboratory : The Ultimate Adaptive Trailing Stop & Reversal Engine 23 Advanced Algorithms. Adaptive Acceleration. Smart Flip Logic. Parabolic SAR Reimagined. █ PHILOSOPHY: WELCOME TO THE LABORATORY The standard Parabolic SAR, created by the legendary J. Welles Wilder Jr., is a tool of beautiful simplicity. But in today's complex, algorithm-driven markets, its simplicity is its fatal flaw. Its fixed acceleration and rigid flip logic cause it to fail precisely when you need it most: it whipsaws in choppy conditions and gives back too much profit in strong trends. The PSAR Laboratory was not created to be just another PSAR. It was engineered to be the definitive evolution of Wilder's original concept. This is not an indicator; it is a powerful, interactive research environment. It is a sandbox where you, the trader, can move beyond the static "one-size-fits-all" approach and forge a PSAR that is perfectly adapted to your specific market, timeframe, and trading style. We have deconstructed the very DNA of the Parabolic SAR and rebuilt it from the ground up, infusing it with modern quantitative techniques. The result is an institutional-grade suite of 23 distinct, mathematically diverse algorithms that dynamically control every aspect of the PSAR's behavior. █ WHAT MAKES THIS A "LABORATORY"? THE CORE INNOVATIONS This tool stands in a class of its own. It is a collection of what could be 23 separate indicators, all seamlessly integrated into one powerful engine. The 23 Algorithm Engine: This is the heart of the Laboratory. Instead of one rigid formula, you have a library of 23 unique mathematical engines at your command. These algorithms are not simple tweaks; they are complete re-imaginings of how the PSAR should behave, based on concepts from information theory, digital signal processing, fractal geometry, and institutional analysis. Truly Adaptive Acceleration (AF): The standard PSAR's "gas pedal" (the AF) is dumb; it accelerates at a fixed rate. Our algorithms make it intelligent. The AF can now speed up in clean, trending environments to lock in profits, and automatically slow down in choppy, chaotic conditions to avoid whipsaws. Advanced Flip Confirmation Logic: Say goodbye to noise-driven flips. You are no longer at the mercy of a single wick touching the SAR. The Laboratory provides multiple layers of flip confirmation, including requiring a bar close beyond the SAR, a volume spike to validate the reversal, or even a multi-bar confirmation . Comprehensive Noise Filtering Core: In a revolutionary step, you can apply one of over 30 advanced signal processing filters directly to the SAR output itself. From ultra-low-lag filters like the Hull MA and DAFE Spectral Laguerre to adaptive filters like KAMA and FRAMA , you can surgically remove noise while preserving the responsiveness of the core signal. Integrated Performance Engine: How do you know which of the 23 algorithms is best for your market? You test it. The built-in Performance Dashboard is a comprehensive backtesting and analytics engine that tracks every trade, providing real-time data on Win Rate, Profit Factor, Max Drawdown, and more. It allows you to scientifically validate your chosen configuration. █ A GUIDED TOUR OF THE ALGORITHMS: 23 PATHS TO AN EDGE b]These 23 algorithms are not simple settings; they are distinct mathematical philosophies for how a Parabolic SAR should adapt to the market. They are grouped into three primary categories: those that adapt the Acceleration Factor (AF) , those that enhance the Extreme Point (EP) detection, and those that redefine the Flip Logic . CATEGORY A: ACCELERATION FACTOR (AF) ADAPTATION These algorithms dynamically change the "gas pedal" of the PSAR. 1. Volatility-Scaled AF Core Concept: Treats volatility as market friction. The PSAR should be more forgiving in high-volatility environments. How It Works: It calculates a Volatility Ratio by comparing the short-term ATR to the long-term ATR. If current volatility is high (ratio > 1), it reduces the AF Step. If volatility is low (ratio < 1), it increases the AF Step to trail tighter. Ideal Use Case: The best all-rounder. Excellent for any market, especially those with clear shifts between high and low volatility regimes (like indices and crypto). 2. Efficiency Ratio (ER) AF Core Concept: The PSAR should accelerate aggressively in clean, efficient trends and slow down dramatically in choppy, inefficient markets. How It Works: It uses Kaufman's Efficiency Ratio (ER), which measures the net directional movement versus the total price movement. A high ER (near 1.0) signifies a pure trend, triggering a high AF multiplier. A low ER (near 0.0) signifies chop, triggering a low AF multiplier. Ideal Use Case: Markets that alternate between strong trends and sideways chop. It is exceptionally good at surviving ranging periods. 3. Shannon Entropy AF Core Concept: Uses Information Theory to measure market disorder. The PSAR should be conservative in chaos and aggressive in order. How It Works: It calculates the Shannon Entropy of recent price changes. High entropy means the market is unpredictable ("chaotic"), causing the AF to slow down. Low entropy means the market is organized and trending, causing the AF to speed up. Ideal Use Case: Advanced traders looking for a mathematically pure way to distinguish between a tradable trend and random noise. 4. Fractal Dimension (FD) AF Core Concept: Measures the "jaggedness" or complexity of the price path. A smooth path is a trend; a jagged, space-filling path is chop. How It Works: It calculates the Fractal Dimension of the price series. An FD near 1.0 is a smooth line (high AF). An FD near 1.5 is a random walk (low AF). Ideal Use Case: Visually identifying the moment a smooth trend begins to break down into chaotic, unpredictable movement. 5. ADX-Gated AF Core Concept: Uses the classic ADX indicator to confirm the presence of a trend before allowing the PSAR to accelerate. How It Works: If the ADX value is above a "Strong" threshold (e.g., 25), the AF accelerates normally. If the ADX is below a "Weak" threshold (e.g., 15), the AF is "frozen" and will not increase, preventing the SAR from tightening up in a non-trending market. Ideal Use Case: For classic trend-following purists who trust the ADX as their primary regime filter. 6. Kalman AF Estimator Core Concept: A sophisticated signal processing algorithm that predicts the "true" optimal AF by filtering out price "noise." How It Works: It treats the PSAR's AF as a state to be estimated. It makes a prediction, then corrects it based on how far the actual price deviates. It's like a GPS constantly refining its position. The "Process Noise" input controls how fast it thinks the AF can change, while "Measurement Noise" controls how much it trusts the price data. Ideal Use Case: Smooth, high-inertia markets like commodities or major forex pairs. It creates an incredibly smooth and responsive AF. 7. Volume-Momentum AF Core Concept: A trend's acceleration is only valid if confirmed by both volume and price momentum. How It Works: The AF will only increase if a new Extreme Point is made on above-average volume AND the Rate of Change (ROC) of the price is aligned with the trend's direction. Ideal Use Case: Any market with reliable volume data (stocks, futures, crypto). It's excellent for filtering out low-conviction moves. 8. Garman-Klass (GK) AF Core Concept: Uses a more advanced, statistically efficient measure of volatility (Garman-Klass, which uses OHLC data) to adapt the AF. How It Works: It modulates the AF based on whether the current GK volatility is higher or lower than its historical average. Unlike the standard Volatility-Scaled algo, it tends to slow down more in high volatility and speed up less in low volatility, making it more conservative. Ideal Use Case: Traders who want a volatility-adaptive model that is more focused on risk reduction during volatile periods. 9. RSI-Modulated AF Core Concept: The RSI can identify points of potential trend exhaustion or strong momentum. How It Works: If a trend is bullish but the RSI enters the "Overbought" zone, the AF slows down, anticipating a pullback. Conversely, if the RSI is in the strong momentum mid-range (40-60), the AF is boosted to trail more aggressively. Ideal Use Case: Mean-reversion traders or those who want to automatically loosen their trail stop near potential exhaustion points. 10. Bollinger Squeeze AF Core Concept: A Bollinger Band Squeeze signals a period of volatility compression, often preceding an explosive breakout. How It Works: When the algorithm detects that the Bollinger Band Width is in a "Squeeze" (below a certain historical percentile), it boosts the AF in anticipation of a fast move, allowing the PSAR to catch the breakout quickly. Ideal Use Case: Breakout traders. This algorithm primes the PSAR to be maximally responsive right at the moment a breakout is most likely. 11. Keltner Adaptive AF Core Concept: Keltner Channels provide a robust measure of a trend's "normal" volatility channel. How It Works: When price is trading strongly outside the Keltner Channel, it's considered a powerful trend, and the AF is boosted. When price falls back inside the channel, it's considered a consolidation or pullback, and the AF is slowed down. Ideal Use Case: Trend followers who use channel breakouts as their primary confirmation. 12. Choppiness-Gated AF Core Concept: Uses the Choppiness Index to quantify whether the market is trending or consolidating. How It Works: If the Choppiness Index is below the "Trend" threshold (e.g., 38.2), the AF is boosted. If it's above the "Range" threshold (e.g., 61.8), the AF is significantly reduced. Ideal Use Case: A more responsive alternative to the ADX-Gated algorithm for distinguishing between trending and ranging markets. 13. VIDYA-Style AF Core Concept: Uses a Chande Momentum Oscillator (CMO) to create a variable-speed acceleration factor. How It Works: The absolute value of the CMO is used to create a dynamic smoothing constant. Strong momentum (high absolute CMO) results in a faster, more responsive AF. Weak momentum results in a slower, smoother AF. Ideal Use Case: Momentum traders who want their trailing stop's speed directly tied to the momentum of the price itself. 14. Hilbert Cycle AF Core Concept: Uses Ehlers' Hilbert Transform to extract the dominant cycle period of the market and synchronizes the PSAR with it. How It Works: It dynamically adjusts the AF based on the detected cycle period (shorter cycles = faster AF) and can also modulate it based on the current phase within that cycle (e.g., accelerate faster near cycle tops/bottoms). Ideal Use Case: Markets with clear cyclical behavior, like commodities and some forex pairs. CATEGORY B: EXTREME POINT (EP) ENHANCEMENT These algorithms make the detection of new highs/lows more intelligent. 15. Volume-Weighted EP Core Concept: A new high or low is more significant if it occurs on high volume. How It Works: It can be configured to only accept a new EP if the volume on that bar is above average. It can also "weight" the EP by volume, pushing it further out on high-volume bars. Ideal Use Case: Filtering out weak, low-conviction price probes in markets with reliable volume. 16. Wavelet Filtered EP Core Concept: Uses wavelet decomposition (a signal processing technique) to separate the underlying trend from high-frequency noise. How It Works: It calculates a smoothed, wavelet-filtered version of the price. A new EP is only registered if the actual high/low significantly exceeds this smoothed baseline, effectively ignoring minor noise spikes. Ideal Use Case: Noisy markets where small, insignificant wicks can cause the AF to accelerate prematurely. 17. ATR-Validated EP Core Concept: A new EP should represent a meaningful move, not just a one-tick poke. How It Works: It requires a new high/low to exceed the previous EP by a minimum amount, defined as a multiple of the current ATR. This ensures only volatility-significant advances are counted. Ideal Use Case: A simple, robust way to filter out "noise" EPs and slow down the AF's acceleration in choppy conditions. 18. Statistical EP Filter Core Concept: A new EP is only valid if the price change that created it is statistically significant. How It Works: It calculates the Z-Score of the bar's price change relative to recent history. A new EP is only accepted if its Z-Score exceeds a certain threshold (e.g., 1.5 sigma), meaning it was an unusually strong move. Ideal Use Case: For quantitative traders who want to ensure their trailing stop only tightens in response to statistically meaningful price action. CATEGORY C: FLIP LOGIC & CONFIRMATION These algorithms change the very rules of when and why the PSAR reverses. 19. Dual-PSAR Gate Core Concept: Uses two PSARs—one fast and one slow—to confirm a reversal. How It Works: A flip signal for the main PSAR is only considered valid if both the fast (sensitive) PSAR and the slow (structural) PSAR have flipped. This acts as a powerful trend filter. Ideal Use Case: An excellent method for reducing whipsaws. It forces the PSAR to wait for both short-term and longer-term momentum to align before signaling a reversal. 20. MTF Coherence PSAR Core Concept: Do not flip against the higher timeframe macro trend. How It Works: It pulls PSAR data from two higher timeframes. A flip is only allowed if the new direction does not contradict the trend on at least one (or both) of those higher timeframes. It also boosts the AF when all timeframes are aligned. Ideal Use Case: The ultimate tool for multi-timeframe traders who want to ensure their entries and exits are in sync with the bigger picture. 21. Momentum-Gated Flip Core Concept: A reversal is only valid if it is supported by a significant surge of momentum. How It Works: A price cross of the SAR is not enough. The script also requires the Rate of Change (ROC) to exceed a certain threshold for a set number of bars, confirming that there is real force behind the reversal. Ideal Use Case: Filtering out weak, drifting reversals and only taking signals that are initiated with explosive power. 22. Close-Only PSAR Core Concept: Wicks are noise; the bar's close is the final decision. How It Works: This algorithm modifies the flip logic to ignore wicks. A flip only occurs if one or more bars close beyond the SAR line. Ideal Use Case: One of the most effective and simple ways to reduce false signals from volatile wicks. A fantastic default choice for any trader. 23. Ultimate PSAR Consensus Core Concept: The highest conviction signal comes from the agreement of multiple, diverse mathematical models. How It Works: This is the capstone algorithm. It runs a "vote" between a selection of the top-performing algorithms (e.g., Volatility-Scaled, Efficiency Ratio, Dual-PSAR). A flip is only signaled if a majority consensus is reached. It can even weight the votes based on each algorithm's recent performance. Ideal Use Case: For traders who want the absolute highest level of confirmation and are willing to accept fewer, but more robust, signals. █ PART II: THE NOISE FILTERING CORE - The Shield This is a revolutionary feature that allows you to apply a second layer of signal processing directly to the SAR line itself, surgically removing noise before the flip logic is even considered. FILTER CATEGORIES Basic Filters (SMA, EMA, WMA, RMA): The classic moving averages. They provide basic smoothing but introduce significant lag. Best used for educational purposes. Low-Lag Filters (DEMA, TEMA, Hull MA, ZLEMA): A family of filters designed to reduce the lag inherent in basic moving averages. The Hull MA is a standout, offering a superb balance of smoothness and responsiveness. Adaptive Filters (KAMA, VIDYA, FRAMA): These are "smart" filters. They automatically adjust their smoothing level based on market conditions. They will be very smooth in choppy markets and become highly responsive in trending markets. Advanced DSP & DAFE Filters: This is the pinnacle of signal processing. Ehlers Filters (SuperSmoother, 2-Pole, 3-Pole): Based on the work of John Ehlers, these use digital signal processing techniques to remove high-frequency noise with minimal lag. Gaussian & ALMA: These use a bell-curve weighting, giving the most importance to recent data in a smooth, non-linear fashion. DAFE Spectral Laguerre: A proprietary, non-linear filter that uses a feedback loop and adapts its "gamma" based on volatility, providing exceptional tracking in all market conditions. How to Choose a Filter Start with "None": First, find an algorithm you like with no filtering to understand its raw behavior. Introduce Low Lag: If you are getting too many whipsaws from noise, apply a short-length Hull MA (e.g., 5-8). This is often the best solution. Go Adaptive: If your market has very distinct trend/chop regimes, try an Adaptive KAMA . Maximum Purity: For the smoothest possible output with excellent responsiveness, use the DAFE Spectral Laguerre or Ehlers SuperSmoother . █ THE VISUAL EXPERIENCE: DATA AS ART The PSAR Laboratory is not just functional; it is beautiful. The visualization engine is designed to provide you with an intuitive, at-a-glance understanding of the market's state. Algorithm-Specific Theming: Each of the 23 algorithms comes with its own unique, professionally designed color palette. This not only provides visual variety but allows you to instantly recognize which engine is active. Dynamic Glow Effects: For many algorithms, the PSAR dots will emit a soft "glow." The brightness and color of this glow are not random; they are tied to a key metric of the active algorithm (e.g., trend strength, volatility, consensus), providing a subtle, visual cue about the health of the trend. Adaptive Volatility Bands: Certain algorithms will display dynamic bands around the PSAR. These are not standard deviation bands; their width is controlled by the specific logic of the active algorithm, showing you a visual representation of the market's expected range or energy level. Secondary Reference Lines: For algorithms like the Dual-PSAR or MTF Coherence, a secondary line will be plotted on the chart, giving you a clear visual of the underlying data (e.g., the slow PSAR, the HTF trend) that is driving the decision-making process. █ THE MASTER DASHBOARD: YOUR MISSION CONTROL The comprehensive dashboard is your unified command center for analysis and performance tracking. Engine Status: See the currently selected Algorithm, the active Noise Filter, the Trend direction, and a real-time progress bar of the current Acceleration Factor (AF). Algorithm-Specific Metrics: This is the most powerful section. It displays the key real-time data from the currently active algorithm. If you're using "Shannon Entropy," you'll see the Entropy score. If you're using "ADX-Gated," you'll see the ADX value. This gives you a direct, quantitative look under the hood. Performance Readout: When enabled, this section provides a full breakdown of your backtesting results, including Win Rate, Profit Factor, Net P&L, Max Drawdown, and your current trade status. █ DEVELOPMENT PHILOSOPHY The PSAR Laboratory was born from a deep respect for Wilder's original work and a relentless desire to push it into the 21st century. We believe that in modern markets, static tools are obsolete. The future of trading lies in adaptation. This indicator is for the serious trader, the tinkerer, the scientist—the individual who is not content with a black box, but who seeks to understand, test, and refine their edge with surgical precision. It is a tool for forging, not just following. The PSAR Laboratory is designed to be the ultimate tool for that evolution, allowing you to discover and codify the rules that truly fit you. █ DISCLAIMER AND BEST PRACTICES THIS IS A TOOL, NOT A STRATEGY: This indicator provides a sophisticated trailing stop and reversal signal. It must be integrated into a complete trading plan that includes risk management, position sizing, and your own contextual analysis. TEST, DON'T GUESS: The power of this tool is its adaptability. Use the Performance Dashboard to rigorously test different algorithms and settings on your chosen asset and timeframe. Find what works, and build your strategy around that data. START SIMPLE: Begin with the "Volatility-Scaled AF" algorithm, as it is a powerful and intuitive all-rounder. Once you are comfortable, begin experimenting with other engines. RISK MANAGEMENT IS PARAMOUNT: All trading involves substantial risk. The backtesting results are hypothetical and do not account for slippage or psychological factors. Never risk more capital than you are prepared to lose. "I don't think traders can follow rules for very long unless they reflect their own trading style. Eventually, a breaking point is reached and the trader has to quit or change, or find a new set of rules he can follow. This seems to be part of the process of evolution and growth of a trader." — Ed Seykota, Market Wizard Taking you to school. - Dskyz, Trade with Volume. Trade with Density. Trade with DAFE
Penunjuk Pine Script®
oleh DskyzInvestments
2