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S/R HTF (D + 4H) | Clusters+Pivots | Stable | Styles+AlertsThis indicator plots higher-timeframe Support/Resistance levels based on the Daily and 4-Hour charts, and keeps them stable (not dependent on how much history is loaded or how you scroll/zoom). What it does Daily levels (D) are calculated from the last lenD closed daily candles (default: 120). 4H levels (240) are calculated from the last lenH4 closed 4H candles (default: 300). Levels come from two sources: Clusters (value areas): prices where candle closes occur frequently within a narrow range. The range width is derived from ATR × step multiplier. Pivots: recent pivot highs and pivot lows (with left/right pivot settings). The script merges nearby levels (within a tolerance) to avoid duplicates. Stability / update logic Levels are computed with request.security() on "D" and "240", so the result is independent of the chart timeframe you’re currently viewing. Lines are drawn using bar time anchoring and extend mode, so they remain fixed to price and do not “jump” when you zoom or scroll. Levels are recalculated on a calendar schedule (default: every 2 days, timeframe "2D"). Between recalculations, levels remain unchanged. Visual customization From the settings panel you can configure: Show/hide Daily and/or 4H levels Show/hide Clusters and/or Pivots Line width for clusters and pivots Line style (Solid / Dashed / Dotted) for clusters and pivots Colors and opacity for Daily and 4H lines Line extension: Left / Right / Both Alerts The indicator can trigger alerts when price: Touches a level (bar range crosses the level: high >= level and low <= level) Approaches a level (distance is within a threshold) Approach threshold can be defined as: Ticks ATR multiplier Percent of price To use dynamic alert text (level + distance): Create an alert in TradingView using: “Any alert() function call”. Notes / limitations “Last N candles” depends on available symbol history; if the symbol doesn’t have enough Daily/4H history, some levels may be na. Cluster quality depends on ATR-based bin size; adjusting the step multipliers can improve results per instrument and volatility regime.
Penunjuk Pine Script®
oleh inozemtsev999
2
Round Level Pro Stats Here is a professional English description of your indicator, which you can use for your own records or if you ever want to share it on the TradingView Community Scripts: Indicator Name: Dynamic Round Levels & Historical Strength Grid Overview This indicator is a sophisticated technical analysis tool designed to identify and evaluate "Round Number" psychological levels (e.g., 1.17100, 1.17200, 1.17300). Unlike a static grid, this tool actively scans historical data to provide a "Strength Score" for each level, helping traders distinguish between minor price points and significant historical reaction zones. Key Features Automated Price Grid: Generates a clean, horizontal grid based on user-defined price intervals (Steps). Perfect for Forex (0.001 pips), Stocks, or Crypto. Historical Strength Engine: Analyzes up to 5,000 historical bars to calculate how "respected" a price level is. The "3-Candle Confirmation" Logic: A level's strength is only increased if the price touches the line and successfully reverses/bounces, staying on the same side for at least 3 subsequent candles. Smart Visual Coding: Green (High Strength): Levels with >60% historical reversal success. Orange (Medium Strength): Levels with 35%–60% success. Red (Low Strength): Levels frequently breached without reaction. Pro HUD Display: Bold percentage labels are positioned at the far right of the chart (near the price scale) to keep the main trading area clutter-free. How to Use Set your Step: For Forex, use 0.001 to see 10-pip increments. For Bitcoin or Gold, use 10 or 100. Lookback Period: Adjust the history scan (up to 5,000 bars) to match your trading timeframe. Identify Support/Resistance: Look for Green % STR labels. These represent "Round Numbers" that have acted as strong barriers in the past, offering higher-probability entry or exit points. Technical Summary for Pine Script Language: Pine Script v5 Max Lines/Labels: 500 (Optimized for performance) Placement: Far-right margin alignment using bar_index offsets.
Penunjuk Pine Script®
oleh nirree11
PDH/PDL Breakout Pip MeasurerThe indicator tracks and measures daily breakout performance when price breaks the Previous Day's High (PDH) or Previous Day's Low (PDL). This indicator provides exact pip/point measurements of how far breakouts travel before hitting your stop-loss, with comprehensive statistics for strategy optimization. Function Tracks breakouts above PDH (Previous Day's High) and below PDL (Previous Day's Low) Measures maximum distance price travels after breakout before stop-loss hit Calculates exact pip/point gains for every breakout move Provides statistical analysis of breakout performance over time Identifies only first breakout of each day for clean signals Performance Metrics Exact pip measurement for every breakout move Statistics table with Count, Average, Min, Max pips Separate tracking for bullish and bearish breakouts Historical performance accumulation over time Active breakout monitoring in real-time Settings Adjustable pip multiplier - works with any instrument (Forex, indices, crypto) Separate stop-loss settings for bull/bear breakouts Visual control - show/hide levels, labels, table Built-in alerts for breakout notifications
Penunjuk Pine Script®
oleh mmrabea
TZ - India VIX Volatility ZonesTZ – India VIX Volatility Zones is a long-term volatility analysis indicator designed to visually map important India VIX regimes using clearly defined horizontal zones and labels. The indicator highlights how market volatility cycles between complacency, normal conditions, elevated risk, and panic phases. These zones are based on historical behavior of India VIX and help traders understand when risk is underpriced or overstretched. This tool is especially useful for: Index traders Options sellers and buyers Risk management and regime filtering Long-term volatility study How It Works The script plots static, historically significant volatility zones on the India VIX chart and visually separates them using shaded bands and labels. Volatility Zones Explained 1.Extreme Low Volatility (VIX 8–10) Indicates market complacency and underpriced risk. Often precedes volatility expansion. 2.Low Volatility (VIX 10–13) Stable market conditions with controlled movement. 3.Normal Volatility (VIX 13–18) Healthy market behavior and balanced risk. 4.High Volatility (VIX 18–25) Rising uncertainty and increased intraday swings. 5.Panic Zone (VIX 25–35+) High fear environment, usually during major events or crises. How Traders Can Use This Indicator Identify volatility regimes before choosing option strategies Avoid aggressive short-volatility trades during extreme zones Prepare for volatility expansion during low-VIX phases Use as a market risk context tool alongside price action This indicator does not provide buy/sell signals. It is designed for contextual analysis and decision support. Best Usage Apply on India VIX (NSE:INDIAVIX) Works best on Weekly and Monthly timeframes Can be combined with index charts for volatility-based risk assessment Disclaimer This indicator is for educational and analytical purposes only. It does not constitute financial advice or trade recommendations. Users should apply proper risk management and confirm signals using additional analysis.
Penunjuk Pine Script®
oleh TradZoo
Advanced Multi-Level S/R ZonesAdvanced Multi-Level S/R Zones: The Comprehensive Guide 1. Introduction: The Evolution of Support & Resistance: Support and Resistance (S/R) is the backbone of technical analysis. However, traditional methods of drawing these levels are often plagued by subjectivity. Two traders looking at the same chart will often draw two different lines. Furthermore, standard indicators often treat every price point equally, ignoring the critical context of Volume and Time. The Advanced Multi-Level S/R Zones script represents a paradigm shift. It moves away from subjective line drawing and toward Quantitative Zoning. By utilizing statistical measures of variability (Standard Deviation, MAD, IQR) combined with Volume-Weighting and Time-Decay algorithms, this tool identifies where price is mathematically most likely to react. It treats S/R not as thin lines, but as dynamic zones of probability. 2. Core Logic and Mathematical Foundation: To understand how to use this tool optimally, one must understand the "engine" under the hood. The script operates on four distinct pillars of logic: A. Session-Based Data Collection: The script does not look at every single tick. Instead, it aggregates data into "Sessions" (daily bars by default logic). It extracts the High, Low, and Total Volume for every session within the user-defined lookback period. This filters out intraday noise and focuses on the macro structure of the market. B. Adaptive Statistical Variability: Most Bollinger Band-style indicators use Standard Deviation (StdDev) to measure width. However, StdDev is heavily influenced by outliers (extreme wicks). This script offers a sophisticated Adaptive Method-Skewness Detection: The script calculates the skewness of the price distribution. Adaptive Selection: If the data is highly skewed (lots of outliers, typical in Crypto), it switches to MAD (Median Absolute Deviation). MAD is robust and ignores outliers. If the data is moderately skewed, it uses IQR (Interquartile Range). If the data is normal (Gaussian), it uses StdDev. Benefit: This ensures the zone widths are accurate regardless of whether you are trading a stable Forex pair or a volatile Altcoin. C. The Weighting Engine (Volume + Time) Not all price history is equal. This script assigns a "Weight Score" to every session based on two factors: Volume Weighting: Sessions with massive volume (institutional activity) are given higher importance. A high formed on low volume is less significant than a high formed on peak volume. Time Decay: Recent price action is more relevant than price action from 50 bars ago. The script applies a decay factor (default 0.85). This means a session from yesterday has 100% impact, while a session from 10 days ago has significantly less influence on the zone calculation. D. Clustering Algorithm Once the data is weighted, the script runs a clustering algorithm. It looks for price levels where multiple session Highs (for Resistance) or Lows (for Support) congregate. It requires a minimum number of points to form a zone (User Input: minPoints). It merges nearby levels based on the Cluster Separation Factor. This results in "Primary," "Secondary," and "Tertiary" zones based on the strength and quantity of data points in that cluster. 3. Detailed Features and Inputs Breakdown: Group 1: Main Settings Lookback Sessions (Default: 10): Defines how far back the script looks for pivots. A higher number (e.g., 50) creates long-term structural zones. A lower number (e.g., 5) creates short-term scalping zones. Variability Method (Adaptive): As described above, leave this on "Adaptive" for the best results across different assets. Zone Width Multiplier (Default: 0.75): Controls the vertical thickness of the zones. Increase this to 1.0 or 1.5 for highly volatile assets to ensure you catch the wicks. Minimum Points per Zone: The strictness filter. If set to 3, a price level must be hit 3 times within the lookback to generate a zone. Higher numbers = fewer, but stronger zones. Group 2: Weighting Volume-Weighted Zones: Crucial for identifying "Smart Money" levels. Keep this TRUE. Time Decay: Ensures the zones update dynamically. If price moves away from a level for a long time, the zone will fade in significance. ATR-Normalized Zone Width: This is a dynamic volatility filter. If TRUE, the zone width expands and contracts based on the Average True Range. This is vital for maintaining accuracy during market breakouts or crashes. Group 3: Zone Strength & Scoring The script calculates a "Score" (0-100%) for every zone based on: -Point Count: More hits = higher score. -Touches: How many times price wicked into the zone recently. -Intact Status: Has the zone been broken? -Weight: Volume/Time weight of the constituent points. -Track Zone Touches: Looks back n bars to see how often price respected this level. -Touch Threshold: The sensitivity for counting a "touch." Group 4: Visuals & Display Extend Bars: How far to the right the boxes are drawn. Show Labels: Displays the Score, Tier (Primary/Secondary), and Status (Retesting). Detect Pivot Zones (Overlap): This is a killer feature. It detects where a Support Zone overlaps with a Resistance Zone. Significance: These are "Flip Zones" (Old Resistance becomes New Support). They are colored differently (Orange by default) and represent high-probability entry areas. Group 5: Signals & Alerts Entry Signals: Plots Buy/Sell labels when price rejects a zone. Detect Break & Retest: specifically looks for the "Break -> Pullback -> Bounce" pattern, labeled as "RETEST BUY/SELL". Proximity Alert: Triggers when price gets within x% of a zone. 4. Understanding the Visuals (Interpreting the Chart) When you load the script, you will see several visual elements. Here is how to read them: The Boxes (Zones) Red Shades: Resistance Zones. Dark Red (Solid Border): Primary Resistance. The strongest wall. Lighter Red (Dashed Border): Secondary/Tertiary. Weaker, but still relevant. Green Shades: Support Zones. Dark Green (Solid Border): Primary Support. The strongest floor. Orange Boxes: Pivot Zones. These are areas where price has historically reacted as both support and resistance. These are the "Line in the Sand" for trend direction. The Labels & Emojis The script assigns emojis to zone strength: 🔥 (Fire): Score > 80%. A massive level. Expect a strong reaction. ⭐ (Star): Score > 60%. A solid structural level. ✓ (Check): Score > 40%. A standard level. "⟳ RETESTING": Appears when a zone was broken, and price is currently pulling back to test it from the other side. The Dashboard (Top Right) A statistics table provides a "Head-Up Display" for the asset: High/Low σ (Sigma): The variability of the highs and lows. If High σ is much larger than Low σ, it implies the tops are erratic (wicks) while bottoms are clean (flat). Method: Shows which statistical method the Adaptive engine selected (e.g., "MAD (auto)"). ATR: Current volatility value used for normalization. 5. Strategies for Optimum Output To get the most out of this script, you should not just blindly follow the lines. Use these specific strategies: Strategy A: The "Zone Fade" (Range Trading) This works best in sideways markets. Identify a Primary Support (Green) and Primary Resistance (Red). Wait for price to enter the zone. Look for the "SUPPORT BOUNCE" or "RESISTANCE REJECTION" signal label. Entry: Enter against the zone (Buy at support, Sell at resistance). Stop Loss: Place just outside the zone width. Because the zones are calculated using volatility stats, a break of the zone usually means the trade is invalid. Strategy B: The "Pivot Flip" (Trend Following) This is the highest probability setup in trending markets. Look for an Orange Pivot Zone. Wait for price to break through a Resistance Zone cleanly. Wait for the price to return to that zone (which may now turn Orange or act as Support). Look for the "RETEST BUY" label. Logic: Old resistance becoming new support is a classic sign of trend continuation. The script automates the detection of this exact geometric phenomenon. Strategy C: The Volatility Squeeze Look at the Dashboard. Compare High σ and Low σ. If the values are dropping rapidly or becoming very small, the zones will contract (become narrow). Narrow zones indicate a "Squeeze" or compression in price. Prepare for a violent breakout. Do not fade (trade against) narrow zones; look to trade the breakout. 6. Optimization & Customization Guide Different markets require different settings. Here is how to tune the script: For Crypto & Volatile Stocks (Tesla, Nvidia) Method: Set to Adaptive (Mandatory, as these assets have "Fat Tails"). Multiplier: Increase to 1.0 - 1.25. Crypto wicks are deep; you need wider zones to avoid getting stopped out prematurely. Lookback: 20-30 sessions. Crypto has a long memory; short lookbacks generate too much noise. For Forex (EURUSD, GBPJPY) Method: You can force StdDev or IQR. Forex is more mean-reverting and Gaussian. Multiplier: Decrease to 0.5 - 0.75. Forex levels are often very precise to the pip. Volume Weighting: You may turn this OFF for Forex if your broker's volume data is unreliable (since Forex has no centralized volume), though tick volume often works fine. For Scalping (1m - 15m Timeframes) Lookback: Decrease to 5-10. You only care about the immediate session history. Decay Factor: Decrease to 0.5. You want the script to forget about yesterday's price action very quickly. Touch Lookback: Decrease to 20 bars. For Swing Trading (4H - Daily Timeframes) Lookback: Increase to 50. Decay Factor: Increase to 0.95. Structural levels from weeks ago are still highly relevant. Min Points: Increase to 3 or 4. Only show levels that have been tested multiple times. 7. Advantages Over Standard Tools: Feature Standard S/R Indicator, Advanced Multi-Level S/R Calculation, Uses simple Pivots or Fractals, Uses Statistical Distributions (MAD/IQR). Zone Width Arbitrary or Fixed Adaptive based on Volatility & ATR. Context Ignores Volume Volume Weighted (Smart Money tracking). Time Relevance Old levels = New levels Time Decay (Recency bias applied). Overlaps Usually ignores overlaps Detects Pivot Zones (Res/Sup Flip). Scoring None 0-100% Strength Score per zone. 8. Conclusion: The Advanced Multi-Level S/R Zones script is not just a drawing tool; it is a statistical analysis engine. By accounting for the skewness of data, the volume behind the moves, and the decay of time, it provides a strictly objective roadmap of the market structure. For the optimum output, combine the Pivot Zone identification with the Retest Signals. This aligns you with the underlying flow of order blocks and prevents trading against the statistical probabilities of the market.
Penunjuk Pine Script®
oleh jaydesaigu
4MA / 4MA[1] Forward Projection with 4 SD Forecast Bands4MA / 4MA Projection + 4 SD Bands + Cross Table is a forward-projection tool built around a simple moving average pair: the 4-period SMA (MA4) and its 1-bar lagged value (MA4 ). It takes a prior MA behavior pattern, projects that structure forward, and wraps the projected mean path with four Standard Deviation (SD) bands to visualize probable future price ranges. This indicator is designed to help you anticipate: Where the MA structure is likely to travel next How wide the “expected” future price corridor may be Where a future MA4 vs MA4 crossover is most likely to occur When the real (live) crossover actually prints on the chart What you see on the chart 1) Live moving averages (current market) MA4 tracks the short-term mean of price. MA4 is simply the previous bar’s MA4 value (a 1-bar lag). Their relationship (MA4 above/below MA4 ) gives a clean, minimal read on trend alignment and directional bias. 2) Projected MA path (forward curve) A forward “ghost” of the MA structure is drawn ahead of price. This projected curve represents the indicator’s best estimate of how the moving average structure may evolve if the market continues to rhyme with the selected historical behavior window. 3) 4 Standard Deviation bands (predictive future price ranges) Surrounding the projected mean path are four SD envelopes. Think of these as forecast corridors: Inner bands = tighter “expected” range Outer bands = wider “stress / extreme” range These bands are not a guarantee—rather, they’re a structured way to visualize “how far price can reasonably swing” around the projected mean based on observed volatility. 4) Vertical projection lines (most probable cross zone) Within the projected region you’ll see vertical lines running through the bands. These lines mark the most probable zone where MA4 and MA4 are expected to cross in the projection. In plain terms: The projected MAs are two curves. When those curves are forecasted to intersect, the script marks the intersection region with a vertical line. This gives you a forward “timing window” for a potential MA shift. 5) Cross Table (top-right) The table is your confirmation layer. It reports: Current MA4 value Current MA4 value Whether MA4 is above or below MA4 The most recent BUY / SELL cross event When a real, live crossover happens on the actual chart: It registers as BUY (MA4 crosses above MA4 ) Or SELL (MA4 crosses below MA4 ) …and the table updates immediately so you can confirm the event without guessing. How to use it Practical workflow Use the projected SD bands as future range context If price is projected to sit comfortably inside inner bands, the market is behaving “normally.” If price reaches outer bands, you’re in a higher-volatility / stretched scenario. Use vertical lines as a “watch zone” Vertical lines do not force a trade. They act like a forward “heads-up”: this is the most likely window for an MA crossover to occur if the projection holds. Use the table for confirmation When the crossover happens for real, the table is your confirmation signal. Combine it with structure (support/resistance, trendlines, market context) rather than trading it in isolation. Notes and best practices This is a projection tool: it helps visualize a structured forward hypothesis, not a certainty. SD bands are best used as forecast corridors (risk framing, range planning, and expectation management). The table is the execution/confirmation layer: it tells you what the MAs are doing now.
Penunjuk Pine Script®
oleh Dinjin
Relative Strength vs S&P 500 (SPX/ES) Relative Strength vs S&P 500 This indicator measures the relative performance of an asset compared to the S&P 500, helping traders and investors identify whether an asset is outperforming or underperforming the broader market. The calculation is based on a price ratio between the selected asset and the S&P 500, optionally normalized to a base value (100) for easier interpretation. How to read it: Above the baseline (100) → the asset is outperforming the S&P 500 Below the baseline (100) → the asset is underperforming the S&P 500 Rising line → strengthening relative performance Falling line → weakening relative performance Why it’s useful: Helps focus on market leaders, not just assets that “look cheap” Filters trades and investments in the direction of relative strength Useful for swing trading, long-term investing, and portfolio allocation Widely used in institutional and professional asset management This indicator is best used as a trend and selection filter, in combination with technical setups (support/resistance, VWAP, structure).
Penunjuk Pine Script®
oleh egu26
Price Prediction Forecast ModelPrice Prediction Forecast Model This indicator projects future price ranges based on recent market volatility. It does not predict exact prices — instead, it shows where price is statistically likely to move over the next X bars. How It Works Price moves up and down by different amounts each bar. This indicator measures how large those moves have been recently (volatility) using the standard deviation of log returns. That volatility is then: Projected forward in time Scaled as time increases (uncertainty grows) Converted into future price ranges The further into the future you project, the wider the expected range becomes. Volatility Bands (Standard Deviation–Based) The indicator plots up to three projected volatility bands using standard deviation multipliers: SD1 (1.0×) → Typical expected price movement SD2 (1.25×) → Elevated volatility range SD3 (1.5×) → High-volatility / stress range These bands are based on standard deviation of volatility, not fixed probability guarantees. Optional Drift An optional drift term can be enabled to introduce a long-term directional bias (up or down). This is useful for markets with persistent trends.
Penunjuk Pine Script®
oleh followmytradingjournal
Hurst-Optimized Adaptive Channel [Kodexius]Hurst-Optimized Adaptive Channel (HOAC) is a regime-aware channel indicator that continuously adapts its centerline and volatility bands based on the market’s current behavior. Instead of using a single fixed channel model, HOAC evaluates whether price action is behaving more like a trend-following environment or a mean-reverting environment, then automatically selects the most suitable channel structure. At the core of the engine is a robust Hurst Exponent estimation using R/S (Rescaled Range) analysis. The Hurst value is smoothed and compared against user-defined thresholds to classify the market regime. In trending regimes, the script emphasizes stability by favoring a slower, smoother channel when it proves more accurate over time. In mean-reversion regimes, it deliberately prioritizes a faster model to react sooner to reversion opportunities, similar in spirit to how traders use Bollinger-style behavior. The result is a clean, professional adaptive channel with inner and outer bands, dynamic gradient fills, and an optional mean-reversion signal layer. A minimalist dashboard summarizes the detected regime, the current Hurst reading, and which internal model is currently preferred. 🔹 Features 🔸 Robust Regime Detection via Hurst Exponent (R/S Analysis) HOAC uses a robust Hurst Exponent estimate derived from log returns and Rescaled Range analysis. The Hurst value acts as a behavioral filter: - H > Trend Start threshold suggests trend persistence and directional continuation. - H < Mean Reversion threshold suggests anti-persistence and a higher likelihood of reverting toward a central value. Values between thresholds are treated as Neutral, allowing the channel to remain adaptive without forcing a hard bias. This regime framework is designed to make the channel selection context-aware rather than purely reactive to recent volatility. 🔸 Dual Channel Engine (Fast vs Slow Models) Instead of relying on one fixed channel, HOAC computes two independent channel candidates: Fast model: shorter WMA basis and standard deviation window, intended to respond quickly and fit more reactive environments. Slow model: longer WMA basis and standard deviation window, intended to reduce noise and better represent sustained directional flow. Each model produces: - A midline (basis) - Outer bands (wider deviation) - Inner bands (tighter deviation) This structure gives you a clear core zone and an outer envelope that better represents volatility expansion. 🔸 Rolling Optimization Memory (Model Selection by Error) HOAC includes an internal optimization layer that continuously measures how well each model fits current price action. On every bar, each model’s absolute deviation from the basis is recorded into a rolling memory window. The script then compares total accumulated error between fast and slow models and prefers the one with lower recent error. This approach does not attempt curve fitting on multiple parameters. It focuses on a simple, interpretable metric: “Which model has tracked price more accurately over the last X bars?” Additionally: If the regime is Mean Reversion, the script explicitly prioritizes the fast model, ensuring responsiveness when reversals matter most. 🔸 Optional Output Smoothing (User-Selectable) The final selected channel can be smoothed using your choice of: - SMA - EMA - HMA - RMA This affects the plotted midline and all band outputs, allowing you to tune visual stability and responsiveness without changing the underlying decision engine. 🔸 Premium Visualization Layer (Inner Core + Outer Fade) HOAC uses a layered band design: - Inner bands define the core equilibrium zone around the midline. - Outer bands define an extended volatility envelope for extremes. Gradient fills and line styling help separate the core from the extremes while staying visually clean. The midline includes a subtle glow effect for clarity. 🔸 Adaptive Bar Tinting Strength (Regime Intensity) Bar coloring dynamically adjusts transparency based on how far the Hurst value is from 0.5. When market behavior is more decisively trending or mean-reverting, the tint becomes more pronounced. When behavior is closer to random, the tint becomes more subtle. 🔸 Mean-Reversion Signal Layer Mean-reversion signals are enabled when the environment is not classified as Trending: - Buy when price crosses back above the lower outer band - Sell when price crosses back below the upper outer band This is intentionally a “return to channel” logic rather than a breakout logic, aligning signals with mean-reversion behavior and avoiding signals in strongly trending regimes by default. 🔸 Minimalist Dashboard (HUD) A compact table displays: - Current regime classification - Smoothed Hurst value - Which model is currently preferred (Fast or Slow) - Trend flow direction (based on midline slope) 🔹 Calculations 1) Robust Hurst Exponent (R/S Analysis) The script estimates Hurst using a Rescaled Range approach on log returns. It builds a returns array, computes mean, cumulative deviation range (R), standard deviation (S), then converts RS into a Hurst exponent. calc_robust_hurst(int length) => float r = math.log(close / close ) float returns = array.new_float(length) for i = 0 to length - 1 array.set(returns, i, r ) float mean = array.avg(returns) float cumDev = 0.0 float maxCD = -1.0e10 float minCD = 1.0e10 float sumSqDiff = 0.0 for i = 0 to length - 1 float val = array.get(returns, i) sumSqDiff += math.pow(val - mean, 2) cumDev += (val - mean) if cumDev > maxCD maxCD := cumDev if cumDev < minCD minCD := cumDev float R = maxCD - minCD float S = math.sqrt(sumSqDiff / length) float RS = (S == 0) ? 0.0 : (R / S) float hurst = (RS > 0) ? (math.log10(RS) / math.log10(length)) : 0.5 hurst This design avoids simplistic proxies and attempts to reflect persistence (trend tendency) vs anti-persistence (mean reversion tendency) from the underlying return structure. 2) Hurst Smoothing Raw Hurst values can be noisy, so the script applies EMA smoothing before regime decisions. float rawHurst = calc_robust_hurst(i_hurstLen) float hVal = ta.ema(rawHurst, i_smoothHurst) This stabilized hVal is the value used across regime classification, dynamic visuals, and the HUD display. 3) Regime Classification The smoothed Hurst reading is compared to user thresholds to label the environment. string regime = "NEUTRAL" if hVal > i_trendZone regime := "TRENDING" else if hVal < i_chopZone regime := "MEAN REV" Higher Hurst implies more persistence, so the indicator treats it as a trend environment. Lower Hurst implies more mean-reverting behavior, so the indicator enables MR logic and emphasizes faster adaptation. 4) Dual Channel Models (Fast and Slow) HOAC computes two candidate channel structures in parallel. Each model is a WMA basis with volatility envelopes derived from standard deviation. Inner and outer bands are created using different multipliers. Fast model (more reactive): float fastBasis = ta.wma(close, 20) float fastDev = ta.stdev(close, 20) ChannelObj fastM = ChannelObj.new(fastBasis, fastBasis + fastDev * 2.0, fastBasis - fastDev * 2.0, fastBasis + fastDev * 1.0, fastBasis - fastDev * 1.0, math.abs(close - fastBasis)) Slow model (more stable): float slowBasis = ta.wma(close, 50) float slowDev = ta.stdev(close, 50) ChannelObj slowM = ChannelObj.new(slowBasis, slowBasis + slowDev * 2.5, slowBasis - slowDev * 2.5, slowBasis + slowDev * 1.25, slowBasis - slowDev * 1.25, math.abs(close - slowBasis)) Both models store their structure in a ChannelObj type, including the instantaneous tracking error (abs(close - basis)). 5) Rolling Error Memory and Model Preference To decide which model fits current conditions better, the script stores recent errors into rolling arrays and compares cumulative error totals. var float errFast = array.new_float() var float errSlow = array.new_float() update_error(float errArr, float error, int maxLen) => errArr.unshift(error) if errArr.size() > maxLen errArr.pop() Each bar updates both error histories and computes which model has lower recent accumulated error. update_error(errFast, fastM.error, i_optLookback) update_error(errSlow, slowM.error, i_optLookback) bool preferFast = errFast.sum() < errSlow.sum() This is an interpretable optimization approach: it does not attempt to brute-force parameters, it simply prefers the model that has tracked price more closely over the last i_optLookback bars. 6) Winner Selection Logic (Regime-Aware Hybrid) The final model selection uses both regime and rolling error performance. ChannelObj winner = regime == "MEAN REV" ? fastM : (preferFast ? fastM : slowM) rawMid := winner.mid rawUp := winner.upper rawDn := winner.lower rawUpInner := winner.upper_inner rawDnInner := winner.lower_inner In Mean Reversion, the script forces the fast model to ensure responsiveness. Otherwise, it selects the lowest-error model between fast and slow. 7) Optional Output Smoothing After the winner is selected, the script optionally smooths the final channel outputs using the chosen moving average type. smooth(float src, string type, int len) => switch type "SMA" => ta.sma(src, len) "EMA" => ta.ema(src, len) "HMA" => ta.hma(src, len) "RMA" => ta.rma(src, len) => src float finalMid = i_enableSmooth ? smooth(rawMid, i_smoothType, i_smoothLen) : rawMid float finalUp = i_enableSmooth ? smooth(rawUp, i_smoothType, i_smoothLen) : rawUp float finalDn = i_enableSmooth ? smooth(rawDn, i_smoothType, i_smoothLen) : rawDn float finalUpInner = i_enableSmooth ? smooth(rawUpInner, i_smoothType, i_smoothLen) : rawUpInner float finalDnInner = i_enableSmooth ? smooth(rawDnInner, i_smoothType, i_smoothLen) : rawDnInner This preserves decision integrity since smoothing happens after model selection, not before. 8) Dynamic Visual Intensity From Hurst Transparency is derived from the distance of hVal to 0.5, so stronger behavioral regimes appear with clearer tints. int dynTrans = int(math.max(20, math.min(80, 100 - (math.abs(hVal - 0.5) * 200))))
Penunjuk Pine Script®
oleh UnknownUnicorn113699460
Multitime ATR with ATR Heat Line# Multi-Timeframe ATR Supertrend with ATH Finder ## Overview This advanced Pine Script indicator combines multi-timeframe ATR-based Supertrend analysis with an All-Time High (ATH) tracking system. Designed for swing traders who need comprehensive trend analysis across multiple timeframes while monitoring key price levels. ## Key Features ### 1. Multi-Timeframe ATR Supertrend (1H, 4H, 1D) - **1 Hour Supertrend** (Blue): Short-term trend identification - **4 Hour Supertrend** (Purple): Medium-term trend confirmation - **1 Day Supertrend** (Green/Red): Primary trend direction - Each timeframe displays independent trend lines with customizable colors and visibility ### 2. Dual ATR Data System (1D Only) - **Previous Day ATR** (lookahead_off): Used for main ATR lines - enables pre-market study and avoids intraday crossover issues - **Current Day ATR** (lookahead_on): Used for Overheating Line calculation - provides real-time profit-taking signals ### 3. Overheating Line - Dynamically calculated as: `1D ATR + (ATR Width × 1.3)` - Orange line indicating potential overextension zones - Uses current day real-time ATR for intraday decision-making - Only displays during uptrends - Customizable multiplier (default: 1.3) ### 4. ATH (All-Time High) Finder - Automatically tracks and displays the all-time high with a horizontal line - **Line Color**: Lime green (customizable) - **Label System**: - Green label when price is at ATH - Red label when ATH is historical - Toggle label visibility independently - **Bug Fix**: Prevents vertical line display when ATH occurs on current bar - Line extends to the right for easy visualization ### 5. Warning & Break Signals Each timeframe provides two types of alerts: - **Warning Signal** (⚠️): Price closes below uptrend line (potential reversal warning) - **Break Signal** (⚡): Price closes above downtrend line (potential breakout) - Smart timing intervals prevent signal spam: - 1H: Checks every 4 hours (warning) / 1 hour (break) - 4H/1D: Max 2 signals per day ### 6. Trend Change Indicators - Small circles mark the exact bar where trend changes occur - Color-coded for each timeframe - Helps identify reversal points and trend strength ### 7. Master Control Switches Efficiently manage all visual elements: - **Master Highlighter**: Toggle all background fills on/off - **Master Signals**: Toggle all warning/break signals - **Master Up Trend**: Toggle all uptrend lines and circles - **Master Down Trend**: Toggle all downtrend lines and circles ### 8. Fast Cut Lines (Optional) - Additional support/resistance lines offset by a percentage from main ATR lines - Useful for tighter stop-loss management - Separate controls for up and down trends - Default: OFF (customizable offset percentage) ### 9. Timeframe Visibility Control - **Hide on Daily+**: Automatically hides indicators (except 1D ATR) on daily timeframes and above - Reduces chart clutter on higher timeframes - 1D ATR always visible regardless of chart timeframe ### 10. EMA Integration (Optional) - Display 20/50/200 EMAs for confluence with ATR trends - Toggle on/off independently ## Use Cases ### For Swing Traders 1. **Entry Timing**: Wait for multiple timeframe alignment (1H, 4H, 1D all in uptrend) 2. **Trend Confirmation**: Use trend change circles to identify momentum shifts 3. **Profit Taking**: Monitor Overheating Line for potential exit zones ### For Position Management 1. **Stop Loss Placement**: Use 1D ATR line or Fast Cut lines as dynamic stop levels 2. **Risk Assessment**: Distance between timeframe ATR lines indicates volatility 3. **Breakout Trading**: Break signals (⚡) identify potential breakout opportunities ### For Pre-Market Analysis - 1D ATR uses previous day data, allowing traders to: - Study support/resistance levels before market open - Plan entry/exit strategies based on confirmed data - Avoid false signals from incomplete daily candles ## Settings Guide ### ATH Finder Settings - **Show ATH Line**: Toggle ATH line visibility - **Show ATH Label**: Toggle ATH label display (can hide label while keeping line) - **ATH Line Color**: Customize line color (default: lime) - **ATH Line Width**: Adjust line thickness (1-5) ### Timeframe Settings (Each timeframe has independent controls) - **ATR Period**: Lookback period for ATR calculation (default: 10) - **ATR Multiplier**: Distance multiplier from price (default: 1.0) - **Show Label**: Display " " / " " / " " text labels - **Show Warning/Break Signals**: Toggle alert symbols - **Highlighter**: Toggle background fill between price and ATR line ### Overheating Line Settings - **Show Overheating Line**: Toggle visibility - **Overheating Multiplier**: Adjust distance above 1D ATR (default: 1.3) ### Cut Lines Settings - **Show Fast Cut Line (Up/Down)**: Toggle visibility - **Fast Cut Offset %**: Percentage distance from ATR lines (default: 1.0%) ## Color Scheme - **Current TF**: Green (up) / Red (down) - **1H ATR**: Blue (#1848cc) / Dark Blue (#210ba2) - **4H ATR**: Purple (#7b1fa2) / Dark Purple (#4e0f60) - **1D ATR**: Green (#4caf50) / Dark Red (#8c101a) - **Overheating Line**: Orange (#ff9800) - **ATH Line**: Lime (customizable) ## Technical Notes ### ATR Calculation - Uses True Range for volatility measurement - Option to switch between SMA and EMA calculation methods - Adapts to both volatile and stable market conditions ### Performance Optimization - Maximum 500 lines and 500 labels to prevent memory issues - Bar index limitations prevent historical data errors - Efficient repainting prevention for 1D timeframe ### Alert System Built-in alert conditions for: - Buy/Sell signals (Current TF) - Warning signals (all timeframes) - Break signals (all timeframes) ## Best Practices 1. **Multiple Timeframe Confirmation**: Don't trade against higher timeframe trends 2. **Overheating Awareness**: Consider profit-taking when price reaches orange line 3. **ATH Monitoring**: Exercise caution near all-time highs (increased volatility risk) 4. **Signal Filtering**: Use warning signals as alerts, not immediate action triggers 5. **Stop Loss Management**: Place stops below the most relevant ATR line for your timeframe ## Version Information - Pine Script Version: 5 - Indicator Type: Overlay - Max Lines: 500 - Max Labels: 500 ## Credits Created by @yohei ogura with <3 Modified for Multi-Timeframe functionality with ATH tracking
Penunjuk Pine Script®
oleh ogudora0812
Bens Platypus Dual VWAP_Rolling 7D vs Weekly AnchoredBen’s Platypus Dual VWAP: Rolling 7D vs Weekly Anchored (optional σ bands) Weekly-anchored VWAP resets on Monday (exchange time). That makes sense for assets tied to a traditional weekly “market open,” but BTC trades 24/7 and often doesn’t respect Monday as a real regime boundary—so the Monday reset can create a mechanical jump that looks like signal but is just arithmetic. If you drive entries/exits off that reset, some algos will get spooked into early entries, fake “stretch” readings, or sudden mean shifts that aren’t actually market behaviour. This indicator fixes that by plotting: • Rolling 7D VWAP (thick aqua): a continuous trailing VWAP that does not reset on Mondays, giving you a stable mean for reversion logic. • Weekly Anchored VWAP (thin purple): kept for context, so you can see the reset effect rather than accidentally trade it. Result: you can visually compare the two means and quantify when “weekly structure” is useful versus when it’s just a calendar artifact on a 24/7 market.
Penunjuk Pine Script®
oleh popularGnuofls7
BTC Valuation ZonesBTC Valuation – Distance From 200 MA This indicator provides a simple but powerful Bitcoin valuation framework based on how far price is from the 200-period Moving Average, a level that has historically acted as Bitcoin’s long-term equilibrium. Instead of predicting tops or bottoms, this tool focuses on mean-reversion behavior: When price deviates too far above the 200 MA → risk increases When price deviates deeply below the 200 MA → long-term opportunity increases
Penunjuk Pine Script®
oleh LeonardoDaTrader
Multi-Fractal Trading Plan [Gemini] v22Multi-Fractal Trading Plan The Multi-Fractal Trading Plan is a quantitative market structure engine designed to filter noise and generate actionable daily strategies. Unlike standard auto-trendline indicators that clutter charts with irrelevant data, this system utilizes Fractal Geometry to categorize market liquidity into three institutional layers: Minor (Intraday), Medium (Swing), and Major (Institutional). This tool functions as a Strategic Advisor, not just a drawing tool. It calculates the delta between price and structural pivots in real-time, alerting you when price enters high-probability "Hot Zones" and generating a live trading plan on your dashboard. Core Features 1. Three-Tier Fractal Engine The algorithm tracks 15 distinct fractal lengths simultaneously, aggregating them into a clean hierarchy: Minor Structure (Thin Lines): Captures high-frequency volatility for scalping. Medium Structure (Medium Lines): Identifies significant swing points and intermediate targets. Major Structure (Thick Lines): Maps the "Institutional" defense lines where trend reversals and major breakouts occur. 2. The Strategic Dashboard A dynamic data panel in the bottom-right eliminates analysis paralysis: Floor & Ceiling Targets: Displays the precise price levels of the nearest Support and Resistance. AI Logic Output: The script analyzes market conditions to generate a specific command, such as "WATCH FOR BREAKOUT", "Near Lows (Look Long?)", or "WAIT (No Setup)". 3. "Hot Zone" Detection Never miss a critical test of structure. Dynamic Alerting: When price trades within 1% (adjustable) of a Major Trend Line, the indicator’s labels turn Bright Yellow and flash a warning (e.g., "⚠️ WATCH: MAJOR RES"). Focus: This visual cue highlights the exact moment execution is required, reducing screen fatigue. 4. The Quant Web & Markers Pivot Validation: Deep blue fractal markers (▲/▼) identify the exact candles responsible for the structure. Inter-Timeframe Web: Faint dotted lines connect Minor pivots directly to Major pivots, visualizing the "hidden" elasticity between short-term noise and long-term trend anchors. 5. Enterprise Stability Engine Engineered to solve the "Vertical Line" and "1970 Epoch" glitches common in Pine Script trend indicators. This engine is optimized for Futures (NQ/ES), Forex, and Crypto, ensuring stability across all timeframes (including gaps on ETH/RTH charts). Operational Guide Consult the Dashboard: Before executing, check the "Strategy" output. If it says "WAIT", the market is in chop. If it says "WATCH FOR BOUNCE", prepare your entry criteria. Monitor Hot Zones: A Yellow Label indicates price is testing a major liquidity level. This is your signal to watch for a rejection wick or a high-volume breakout. Utilize the Web: Use the faint web lines to find "confluence" where a short-term pullback aligns with a long-term trend line. Configuration Show History: Toggles "Ghost Lines" (Blue) to display historical structure and broken trends. Fractal Points: Toggles the geometric pivot markers. Hot Zone %: Adjusts the sensitivity of the Yellow Warning system (Default: 1%). Max Line Length: A noise filter that removes stale or "spiderweb" lines that are no longer statistically relevant.
Penunjuk Pine Script®
oleh CustomQuantLabs
2
Quant VWAP System 3.8 This is the lower-indicator companion to the "Quant VWAP System." While the main chart tells you where the price is, this oscillator tells you how statistically significant the move is. It uses a Z-Score algorithm to normalize price action. This means it ignores dollar amounts and instead measures how many Standard Deviations (SD) the price is away from its mean (VWAP). This allows you to instantly spot "Overbought" or "Oversold" conditions on any asset (Bitcoin, Forex, or Stocks) without needing to guess. Key Features: 1. Normalized Extremes (The "Kill Zones") ±2.0 SD: These dotted lines represent statistical extremes. When the signal line crosses above +2.0, the asset is mathematically expensive (Overbought). When it crosses below -2.0, it is mathematically cheap (Oversold). The Logic: Price rarely sustains movement beyond 2 Standard Deviations without a reversion or a pause. 2. The Squeeze Radar (Yellow Dots) Volatility Detection: A row of Yellow Dots appearing on the center line indicates a "Squeeze." What it means: The Standard Deviation bands are compressing. Energy is building. Warning: DO NOT trade Mean Reversion when you see Yellow Dots. A squeeze often leads to a violent breakout. Wait for the dots to disappear to confirm the direction of the explosion. 3. Momentum Coloring Green Line: Z-Score is rising (Bullish Momentum). Red Line: Z-Score is falling (Bearish Momentum). This helps you spot divergences (e.g., Price makes a Higher High, but the Oscillator makes a Lower High = Exhaustion). How to Trade with It Strategy A: The "Zero Bounce" (Trend Continuation) Scenario: You are in a Bull Trend. Signal: The Oscillator line pulls back to the Zero Line (White), turns Green, and curls upward. Meaning: Price has tested the average (VWAP) and buyers have stepped in. This is a high-probability entry for trend continuation. Strategy B: The "Extreme Fade" (Reversion) Scenario: The Oscillator pushes deep into the Red Zone (+2.0 SD). Signal: The line turns Red and crosses back down below the +2.0 dotted line. A small Red Triangle will appear. Meaning: The statistical extension has failed, and price is likely snapping back to the mean. Strategy C: Squeeze Breakout Scenario: Yellow Dots appear on the center line. Action: Stop trading. Wait. Signal: The dots disappear, and the line shoots aggressively through +1.0 SD (Long) or -1.0 SD (Short). Ride the momentum.
Penunjuk Pine Script®
oleh CustomQuantLabs
8
Linear Regression ChannelsThis indicator dynamically identifies and plots the best-fit linear regression channels based on recent pivot points, optimizing for statistical strength across user-defined depths. How It Works (Technical Methodology) 1. Pivot Point Detection The indicator uses Pine Script's ta.pivothigh() and ta.pivotlow() functions with a configurable sensitivity length to detect swing highs and lows. All recent pivot indices are stored in an array (limited to avoid performance issues), providing potential starting points for regression calculations. 2. Multi-Depth Evaluation Users input comma-separated "Pivot History Depths" (e.g., "5,20,50"). For each depth: - The script evaluates regression fits starting from the most recent pivots, up to the specified depth count. - It calculates linear regression statistics for each possible channel originating from those pivot bars backward to the current bar. 3. Linear Regression Calculation For each candidate channel: - Slope (m) and intercept (b) are computed using least-squares method. - R-squared (R²) measures goodness of fit (how well price follows the trend line). - Standard error of the estimate is calculated to quantify volatility around the regression line. - A composite score = R² × log(length) prioritizes stronger fits on longer periods. 4. Best-Fit Selection and Validation - Only channels with R² ≥ user-defined minimum (default 0.5) are considered valid. - The channel with the highest score for each depth is selected and drawn. - This ensures the most statistically significant and relevant channels are displayed, avoiding weak or short-term noise. 5. Channel Construction - Mean Line: The regression trend line extended slightly into the future. - Inner Channels: ± user-configurable standard deviation multiplier (default 2.0σ) around the mean. - Outer Bands: ±1.5× the inner deviation for additional visual context. - Filled areas between mean and inner channels for better visibility. - Color: Green shades for upward slopes (bullish trend), red shades for downward slopes (bearish trend). 6. Dashboard and Statistics - Optional table in the top-right corner displays for each depth: - Depth value - R² (colored green if >0.7, orange otherwise) - Slope (Beta) – positive blue for uptrend, red for downtrend - Current Z-Score: How many standard deviations the latest close is from the expected regression value (yellow if |Z| > 2) How to Use Regression channels help identify trending markets, potential mean reversion, and overextension. - Upward Channels (Green): Price above the mean may indicate strength; pullbacks to the mean or lower band offer long opportunities. Overextension above upper band could signal exhaustion. - Downward Channels (Red): Price below the mean may indicate weakness; rallies to the mean or upper band offer short opportunities. Overextension below lower band could signal capitulation. - High R² (>0.7): Strong trending channel – trade in direction of slope. - Low R²: Choppy/range-bound market – avoid trend-following trades. - Z-Score: |Z| > 2 suggests price is statistically overextended from the trend (potential reversion setup). - Multi-Depth: Smaller depths catch short-term trends; larger depths capture major trends. Use multiple for confluence across timeframes. Combine with volume, support/resistance, or other indicators for confirmation. Disclaimer This indicator is a technical analysis tool and should be used in conjunction with other forms of analysis. Past performance does not guarantee future results. Always use proper risk management.
Penunjuk Pine Script®
oleh s3u1l
cd_VW_Cx IMPROVED - Quant VWAP System: Regime, Magnets & Z-ScoQuant VWAP System: Regime, Magnets & Z-Score Matrix This indicator is a comprehensive Quantitative Trading System designed to move beyond simple support and resistance. Instead of static lines, it uses Statistical Probability (Z-Score) and Standard Deviation to define the current market regime, identify institutional value zones, and project high-probability liquidity targets. It is engineered for Day Traders and Scalpers (Crypto & Futures) who need to know if the market is Trending, Ranging, or preparing for a Breakout. 1. The "Regime" System (Standard Deviation Bands) The core engine anchors a VWAP (Volume Weighted Average Price) to your chosen timeframe (Daily, Weekly, or Monthly) and projects volatility bands based on market variance. The Trend Zone (Inner Band / 1.0 SD): This is the "Fair Value" zone. In a healthy trend, price will pull back into this zone and hold. A hold here signals a high-probability continuation (Trend Following). The Reversion Zone (Outer Band / 2.0 SD): This represents a statistical extreme. Price rarely sustains movement beyond 2 Standard Deviations without a reversion. A touch of this band signals "Overbought" or "Oversold" conditions. 2. Liquidity Magnets (Virgin VWAPs) The script automatically tracks "Unvisited VWAPs" from previous sessions. These are price levels where significant volume occurred but have not yet been re-tested. The Logic: Algorithms often target these "open loops." The script visualizes them as Blue Dashed Lines with price tags. Smart Scaling (Anti-Scrunch): Includes a custom "Ghost Engine" that automatically hides or "ghosts" magnets that are too far away. This prevents your chart from being squashed (scrunched) on lower timeframes, keeping your candles perfectly readable while still tracking targets in the background. 3. The Quant Matrix (Dashboard) A real-time Heads-Up Display (HUD) that interprets the data for you: Regime: Detects Volatility Squeezes. If the bands compress, it signals "⚠ SQUEEZE", warning you to stop mean-reversion trading and prepare for an explosive breakout. Bias: Color-coded Trend Direction (Bullish/Bearish) based on VWAP slope. Signal: actionable text prompts such as "BUY DIP" (Trend Following), "FADE EXT" (Mean Reversion), or "PREP BREAK" (Squeeze). 4. Visual Intelligence Bold Day Separators: Clear, vertical dotted dividers with Date Stamps to instantly separate trading sessions. Dynamic Labels: Floating labels on the right axis identify exactly which deviation level is which, preventing chart confusion. How to Use Strategy A: The Trend Pullback (continuation) Check Matrix: Ensure Bias is BULLISH (Green). Wait: Allow price to pull back into the Inner Band (Dark Green Zone). Trigger: If price holds the Center VWAP or the -1.0 SD line, enter Long. Target: The next Liquidity Magnet above or the +2.0 SD band. Strategy B: The Reversion Fade (Counter-Trend) Check Matrix: Ensure price is labeled "EXTREME" or Signal says "FADE EXT". Trigger: Price touches or pierces the Outer Band (2.0 SD). Action: Enter counter-trend (Short) with a target back to the Center VWAP (Mean Reversion). Strategy C: The Magnet Target Identify a "MAGNET" line (Blue Dashed) near current price. These act as high-probability Take Profit levels. Price will often rush to these levels to "close the loop" before reversing. Settings Anchor: Daily (default), Weekly, or Monthly. Magnet Focus Range: Adjusts how aggressively the script hides distant magnets to fix chart scaling (Default: 2%). Visuals: Fully customizable colors, label sizes, and dashboard position.
Penunjuk Pine Script®
oleh CustomQuantLabs
2
EMA 1 & SALMA Intersection StrategyTrading Strategy: EMA 1 & SALMA Crossover System This strategy is a Trend-Following system that focuses on the direct interaction between the price (represented by EMA 1) and a smoothed trendline (SALMA). Instead of relying on the color changes of the indicator, it uses mechanical crossover signals to enter and exit trades. 1. Indicators Used EMA 1 (Exponential Moving Average): Since the period is 1, it effectively represents the Current Price. It reacts instantly to every market move. SALMA v3.0 (Smoothed Adaptive Lattice Moving Average): A double-smoothed moving average that acts as the "Base Line" or "Trend Support/Resistance." RSI (Relative Strength Index): Used as a Momentum Filter to ensure we don't trade against the market's strength. 2. Buy (Long) Entry Rules You enter a Long position when the following conditions are met: The Crossover: The EMA 1 (Price) crosses ABOVE the SALMA line. This indicates that the short-term momentum is shifting higher than the average trend. The Filter (RSI): The RSI must be above 50. This confirms that the buyers are in control and the upward move has enough strength. 3. Sell (Short) Entry Rules You enter a Short position when the following conditions are met: The Crossunder: The EMA 1 (Price) crosses BELOW the SALMA line. This indicates a breakdown in price action. The Filter (RSI): The RSI must be below 50. This confirms that the sellers are dominating and the downward momentum is real. 4. Key Advantages of This System Objectivity: You don't guess based on the color of the line; you wait for a clear physical break (cross) of the line. Precision: By using EMA 1, you get the earliest possible entry signal compared to slower moving averages. False Signal Protection: The RSI 50 filter prevents you from entering "weak" trades where the price crosses the line but lacks the volume or momentum to continue.
Strategi Pine Script®
oleh Oguzbey07