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WSW - Kalman FilterElevate your trading with the WSW - Kalman Filter, a cutting-edge tool designed for institutional-grade price smoothing. Unlike traditional SMA or EMA, this Kalman filter dynamically predicts and adapts to market movements, delivering smoother signals with minimal lag. Perfect for traders seeking to filter noise from price action (OHLC or custom sources) while staying responsive to trends and reversals. Key Features: Adaptive Noise Estimation: Automatically adjusts process and measurement noise based on market volatility, ensuring optimal performance in calm or choppy conditions. Joseph Form Updates: Uses numerically stable covariance calculations for reliable filtering. Comprehensive Diagnostics: Includes a filter health monitor (green = stable, red = warning) and optional plots for innovation and adaptive parameters to fine-tune your setup. Customizable Parameters: Adjust base noise levels, innovation window, and adaptive bounds to suit any market or timeframe. Alert Conditions: Set alerts for filter health issues or crossovers with raw price for actionable signals. Why Use It? Building on advanced smoothing concepts like the Dickson Moving Average, this Kalman filter excels at capturing the "true" price trend by modeling price dynamics and reducing noise. Whether you're trading stocks, forex, or crypto, this indicator helps you make cleaner, data-driven decisions. Check out my YouTube or Instagram for a deep dive on how it outperforms traditional averages on a sine wave test! How to Use: Apply to your chart (defaults to close price). Tweak Base Q (process noise) and Base R (measurement noise) for responsiveness vs. smoothness. Enable Adaptive Noise Estimation (recommended) for auto-tuning to market conditions. Monitor filter health via the background color or use the diagnostic plots for optimization. Open Source: Fully customizable Pine Script code—modify it to fit your strategy! Feedback: Try it out, share your results, and let me know on socials how it’s working for you! Created by WallStWizzo | Follow for more advanced trading tools!
Pine Script® indicator
by wallstwizzo
Daily EMA 50Daily EMA 50 Indicator This indicator displays the 50-period Exponential Moving Average based on daily closing prices. It uses security() function to fetch daily data, making it consistent across all timeframes. The EMA is plotted in orange and helps identify the overall daily trend direction. It's particularly useful for: - Confirming long-term trend bias - Identifying potential support/resistance levels - Filtering trade directions on lower timeframes Features: - Works on any chart timeframe - Updates automatically with daily data - Clean visual representation with orange line
Pine Script® indicator
by hun7eee
Volatility Cone Forecaster Lite [PhenLabs]📊 Volatility Cone Forecaster Version: PineScript™v6 📌Description The Volatility Cone Forecaster (VCF) is an advanced indicator designed to provide traders with a forward-looking perspective on market volatility. Instead of merely measuring past price fluctuations, the VCF analyzes historical volatility data to project a statistical “cone” that outlines a probable range for future price movements. Its core purpose is to contextualize the current market environment, helping traders to anticipate potential shifts from low to high volatility periods (and vice versa). By identifying whether volatility is expanding or contracting relative to historical norms, it solves the critical problem of preparing for significant market moves before they happen, offering a clear statistical edge in strategy development. This indicator moves beyond lagging measures by employing percentile analysis to rank the current volatility state. This allows traders to understand not just what volatility is, but how significant it is compared to the recent past. The VCF is built for discretionary traders, system developers, and options strategists who need a sophisticated understanding of market dynamics to manage risk and identify high-probability opportunities. 🚀Points of Innovation Forward-Looking Volatility Projection: Unlike standard indicators that only show historical data, the VCF projects a statistical cone of future volatility. Percentile-Based Regime Analysis: Ranks current volatility against historical data (e.g., 90th, 75th percentiles) to provide objective context. Automated Regime Detection: Automatically identifies and labels the market as being in a ‘High’, ‘Low’, or ‘Normal’ volatility regime. Expansion & Contraction Signals: Clearly indicates whether volatility is currently increasing or decreasing, signaling shifts in market energy. Integrated ATR Comparison: Plots an ATR-equivalent volatility measure to offer a familiar point of reference against the statistical model. Dynamic Visual Modeling: The cone visualization directly on the price chart provides an intuitive guide for future expected price ranges. 🔧Core Components Realized Volatility Engine: Calculates historical volatility using log returns over multiple user-defined lookback periods (short, medium, long) for a comprehensive view. Percentile Analysis Module: A custom function calculates the 10th, 25th, 50th, 75th, and 90th percentiles of volatility over a long-term lookback (e.g., 252 days). Forward Projection Calculator: Uses the calculated volatility percentiles to mathematically derive and draw the upper and lower bounds of the future volatility cone. Volatility Regime Classifier: A logic-based system that compares current volatility to the historical percentile bands to classify the market state. 🔥Key Features Customizable Lookback Periods: Adjust short, medium, and long-term lookbacks to fine-tune the indicator’s sensitivity to different market cycles. Configurable Forward Projection: Set the number of days for the forward cone projection to align with your specific trading horizon. Interactive Display Options: Toggle visibility for percentile labels, ATR levels, and regime coloring to customize the chart display. Data-Rich Information Table: A clean, on-screen table displays all key metrics, including current volatility, percentile rank, regime, and trend. Built-in Alert Conditions: Set alerts for critical events like volatility crossing the 90th percentile, dropping below the 10th, or switching between expansion and contraction. 🎨Visualization Volatility Cone: Shaded bands projected onto the future price axis, representing the probable price range at different statistical confidence levels (e.g., 75th-90th percentile). Color-Coded Volatility Line: The primary volatility plot dynamically changes color (e.g., red for high, green for low) to reflect the current volatility regime, providing instant context. Historical Percentile Bands: Horizontal lines plotted across the indicator pane mark the key percentile levels, showing how current volatility compares to the past. On-Chart Labels: Clear labels automatically display the current volatility reading, its percentile rank, the detected regime, and trend (Expanding/Contracting). 📖Usage Guidelines Setting Categories Short-term Lookback: Default: 10, Range: 5-50. Controls the most sensitive volatility calculation. Medium-term Lookback: Default: 21, Range: 10-100. The primary input for the current volatility reading. Long-term Lookback: Default: 63, Range: 30-252. Provides a baseline for long-term market character. Percentile Lookback Period: Default: 252, Range: 100-1000. Defines the period for historical ranking; 252 represents one trading year. Forward Projection Days: Default: 21, Range: 5-63. Determines how many bars into the future the cone is projected. ✅Best Use Cases Breakout Trading: Identify periods of deep consolidation when volatility falls to low percentile ranks (e.g., below 25th) and begins to expand, signaling a potential breakout. Mean Reversion Strategies: Target trades when volatility reaches extreme high percentile ranks (e.g., above 90th), as these periods are often unsustainable and lead to contraction. Options Strategy: Use the cone’s projected upper and lower bounds to help select strike prices for strategies like iron condors or straddles. Risk Management: Widen stop-losses and reduce position sizes when the indicator signals a transition into a ‘High’ volatility regime. ⚠️Limitations Probabilistic, Not Predictive: The cone represents a statistical probability, not a guarantee of future price action. Extreme, unpredictable news events can drive prices outside the cone. Lagging by Nature: All calculations are based on historical price data, meaning the indicator will always react to, not pre-empt, market changes. Non-Directional: The indicator forecasts the *magnitude* of future moves, not the *direction*. It should be paired with a directional analysis tool. 💡What Makes This Unique Forward Projection: Its primary distinction is projecting a data-driven, statistical forecast of future volatility, which standard oscillators do not do. Contextual Analysis: It doesn’t just provide a number; it tells you what that number means through percentile ranking and automated regime classification. 🔬How It Works 1. Data Calculation: The indicator first calculates the logarithmic returns of the asset’s price. It then computes the annualized standard deviation of these returns over short, medium, and long-term lookback periods to generate realized volatility readings. 2. Percentile Ranking: Using a 252-day lookback, it analyzes the history of the medium-term volatility and determines the values that correspond to the 10th, 25th, 50th, 75th, and 90th percentiles. This builds a statistical map of the asset’s volatility behavior. 3. Cone Projection: Finally, it takes these historical percentile values and projects them forward in time, calculating the potential upper and lower price bounds based on what would happen if volatility were to run at those levels over the next 21 days. 💡Note: The Volatility Cone Forecaster is most effective on daily and weekly charts where statistical volatility models are more reliable. For lower timeframes, consider shortening the lookback periods. Always use this indicator as part of a comprehensive trading plan that includes other forms of analysis.
Pine Script® indicator
by PhenLabs
Normalized Volume Z-Score The Normalized Volume Z-Score indicator measures how unusual the current trading volume is compared to its recent history. It calculates the z-score of volume over a user-defined lookback period (default: 50 bars), optionally using log-volume normalization. A z-score tells you how many standard deviations today’s volume is away from its mean: Z = 0 → volume is at its average. Z > 0 → volume is higher than average. Z < 0 → volume is lower than average. Threshold lines (±2 by default) highlight extreme deviations, which often signal unusual market activity. How to Trade with It High positive Z-score (> +2): Indicates abnormally high volume. This often happens during breakouts, strong trend continuations, or capitulation events. → Traders may look for confirmation from price action (e.g., breakout candle, strong trend bar) before entering a trade. High negative Z-score (< –2): Indicates unusually low volume. This may signal lack of interest, consolidation, or exhaustion. → Traders may avoid entering new positions during these periods or expect potential reversals once volume returns. Cross back inside thresholds: When z-score returns inside ±2 after an extreme spike, it may suggest that the abnormal activity has cooled down. Tips Works best when combined with price structure (support/resistance, demand/supply zones). Can be applied to crypto, stocks, forex, futures – anywhere volume is meaningful. Log normalization helps reduce distortion when some days have extremely large volumes.
Pine Script® indicator
by hasanaksoy199264
KeyLevel - AOCKeyLevel - AOC ✨ Features📈 Session Levels: Tracks high, low, and open prices for Asian, London, and New York sessions.📅 Multi-Timeframe Levels: Plots previous day, week, month, quarter, and yearly open/high/low levels.⚙️ Preset Modes: Choose Scalp, Intraday, or Swing presets for tailored level displays.🎨 Customizable Visuals: Adjust colors, line styles, and label abbreviations for clarity.🖼️ Legend Table: Displays a color-coded legend for quick reference to session and period levels.🔧 Flexible Settings: Enable/disable specific sessions or levels and customize UTC offsets. 🛠️ How to Use Add to Chart: Apply the "KeyLevel - AOC" indicator on TradingView. Configure Inputs: Preset: Select Scalp, Intraday, or Swing, or use custom settings. Session Levels: Toggle Asian, London, NY sessions and their open/high/low lines. Period Levels: Enable/disable previous day, week, month, quarter, or yearly levels. Visuals: Adjust colors, line widths, and label abbreviations. Legend: Show/hide the legend table for level identification. Analyze: Monitor key levels for support/resistance and session-based price action. Track Trends: Use levels to identify breakouts, reversals, or consolidation zones. 🎯 Why Use It? Dynamic Levels: Tracks critical price levels across multiple timeframes for comprehensive analysis. Session Focus: Highlights key session price points for intraday trading strategies. Customizable: Tailor displayed levels and visuals to match your trading style. User-Friendly: Clear lines, labels, and legend table simplify price level tracking. 📝 Notes Ensure timeframe compatibility (e.g., avoid daily charts for session levels). Use M5 or higher timeframes for accurate session tracking; some levels disabled on M5. Combine with indicators like RSI or MACD for enhanced trading signals. Adjust UTC offset if session times misalign with your broker’s timezone.
Pine Script® indicator
by AlchimistOfCrypto
RSI Dual Smoothed MAs + Trend color+ Alerts + MTFFeatures Implemented: RSI with selectable source (OHLC/HL2/HLC3/OHLC4). timeframe dropdown (tf) so you can select 1m, 3m, 5m, 15m, 30m, 1h, 3h, 4h, 1D, 1W, 1M Two customizable MAs with selectable type (SMA, EMA, WMA, RMA, VWMA). MA slope-based coloring (green = rising, red = falling, gray = flat). Background shading (green = bullish, red = bearish). Alerts for: Bullish MA crossover Bearish MA crossover RSI Overbought (>70) RSI Oversold (<30)
Pine Script® indicator
by sdixitanalysis
XAUUSD/SPX Slope with Bollinger Bands %BThe XAUUSD/SPX Slope with Bollinger Bands %B Indicator plots the slope of the XAUUSD (Gold) to SPX (S&P 500) ratio (blue line) using linear regression (default 20 bars) to show Gold’s relative performance against stocks. Bollinger Bands %B (length: 20, StdDev: 2.0) is calculated on the chart’s current symbol (e.g., GLD, BTCUSD) and plotted in yellow, indicating the symbol’s price position within its bands (0 to 1 range). The slope’s zero is aligned with the %B middle band (0.5) for easy comparison. A positive slope (above 0.5) suggests Gold outperforming SPX, while %B above 1 indicates overbought conditions and below 0 indicates oversold for the chart’s symbol. Overbought (1), middle (0.5), and oversold (0) lines, with optional background fills (green for overbought, blue for middle, red for oversold, unchecked by default), aid interpretation. Adjust the slope scale factor for visibility.
Pine Script® indicator
by bfrahm73
RSI OB/OSRSI OB/OS Signals indicator The RSI OB/OS Signals indicator is an analysis and training tool that uses simple statistical learning (rolling correlations and z-scoring) to produce a smoothed, adaptive RSI weighting and signal line intended to highlight probable short-term RSI movements. The script does not attempt black-box machine-learning model export instead, it uses transparent building blocks — returns, RSI, ATR percentage, volume change (log), and raw volume — as predictors to estimate the likely next-bar RSI, then converts that estimate into a bounded “weight” and a smoothed signal line. The objective is educational: show how simple correlation-based weighting of standardized features can serve as an RSI augmentation and help traders identify higher-probability bullish or bearish RSI cross conditions, while making all internal reasoning visible and explainable. At its core the indicator performs three conceptual steps each bar: first it computes a set of per-bar features aligned to the target (prior bar RSI) — specifically prior-bar log returns, prior-bar RSI, ATR as percent of price, the log change in volume and the prior-bar raw volume. Second it standardizes these predictors through rolling z-scoring and computes rolling Pearson correlations between each standardized predictor and the target RSI over a user-configurable learning window. These correlations act as signed linear weights: predictors with higher absolute correlation are treated as more informative for that window. Third it forms a linear prediction by summing correlation × z(feature) across the top correlated predictors, then maps that standardized prediction back to RSI scale using the rolling mean and standard deviation of the target. The mapped prediction is finally converted to a bounded “rsiWeight,” smoothed by a signal moving average, and used to produce bullish/bearish events on crossovers of preconfigured thresholds. VWAP, buy/sell volume breakdown and simple tracking of the price move since the last signal are also displayed to help traders interpret the quality of signals. The components are chosen for clear, complementary roles rather than as a random mashup. Prior-bar RSI embodies short-term momentum and is the natural prediction target. Log returns add price-direction information; ATR percent encodes the intrabar volatility regime (helpful because RSI behaviour differs in high vs low volatility); the volume log-change and raw volume provide a participation signal indicating whether structural moves are supported by real activity. Standardizing predictors and using rolling correlations lets the script adapt its emphasis to the current regime: when volume changes correlate strongly with subsequent RSI moves, the algorithm will weight that predictor more heavily; when returns correlate more, weight shifts accordingly. Because the method is linear, transparent and computed on rolling windows you can reproduce and reason about the weight changes — a key requirement for educational clarity and TradingView compliance. How to read and use the indicator practically: treat the smoothed rsiWeight line (ma_rsi) and its threshold crossings as an RSI-augmentation alert — not as a standalone automated buy/sell system. A practical workflow is: first inspect the dashboard and confirm the underlying drivers (which predictors show strong z-scores and which had high rolling correlation in the learning window); second check VWAP position and volume split to ensure that the price move is supported; third only consider signals that coincide with your higher-timeframe bias or structural support/resistance. For example, a bullish crossover (ma_rsi crossing above −0.5) that occurs while VWAP is below price, buy volume share is elevated, and ATR is moderate is a higher-quality setup than the same crossing on thin volume and extreme ATR. Use ATR or recent swing structure for stop placement and predefine risk per trade. Because the indicator tracks max points since the last signal, you can also use that metric as a simple intraday performance monitor. Parameter tuning guidance: the learning window (learnLen) controls how quickly the correlation weights adapt; a short window (e.g., 10–20) makes the predictor weights responsive to regime shifts but also noisier; a longer window (e.g., 40–80) smooths weights and emphasizes longer-term relationships. The rsiLen (target RSI length) should match your intended horizon — 14 is standard and balances responsiveness and smoothness. sigLen controls the smoothing of the predicted RSI weight: lower values make the signal line more reactive (useful for scalping), higher values produce smoother signals (useful for swing trades). For low-liquidity instruments increase learnLen and sigLen to reduce false alarms; for high-speed intra-day work shorten them. Volume heuristics (volume thresholds) are instrument dependent — calibrate volume formatting and volumetric thresholds for equities versus futures or crypto. Limitations and failure modes are explicit and important: the feature-selection approach is linear and based on Pearson correlation — it cannot capture nonlinear dependencies or temporal lags beyond the single lag studied, so it may miss relationships that require higher-order features. The volume split used (close>open vs closeopen vs close
Pine Script® indicator
by aiTrendview-Charting-System
RSI MA Cross + Divergence Signal (fixed)🔹 Core Logic RSI + Moving Average The script calculates a standard RSI (default 14). It then overlays a moving average (SMA/EMA/WMA, default 9). When RSI crosses above its MA → bullish momentum. When RSI crosses below its MA → bearish momentum. Divergence Filter Signals are only valid if there’s confirmed divergence: Bullish divergence: Price makes a lower low, RSI makes a higher low. Bearish divergence: Price makes a higher high, RSI makes a lower high. Overbought / Oversold Filter Optional extra: Bullish signals only valid if RSI ≤ 30 (oversold). Bearish signals only valid if RSI ≥ 70 (overbought). This ensures signals happen in “stretched” conditions. Risk & Trade Management Entries taken only when all conditions align. Exits can be managed with ATR stops, partial take-profits, breakeven moves, and trailing stops (we coded these in the strategy version). Cooldown, session filters, and daily loss guard to keep risk tight. 🔹 Strengths ✅ High selectivity: Combining RSI cross + divergence + OB/OS means signals are rare but higher quality. ✅ Great at catching reversals: Divergence highlights where price may be running out of steam. ✅ Risk management baked in: ATR stops + partial exits smooth out equity curve. ✅ Works across markets: ES, FX, crypto — anywhere RSI divergences are respected. ✅ Flexible: You can loosen/tighten filters depending on aggressiveness. 🔹 Weaknesses ❌ Lag from pivots: Divergence only confirms after a few bars → you enter late sometimes. ❌ Choppy in ranges: In sideways markets, RSI divergences appear often and whipsaw. ❌ Filters reduce signals: With all filters ON (divergence + OB/OS + trend + session), signals can be very rare — may under-trade. ❌ Not standalone: Needs higher-timeframe context (trend, liquidity pools) to avoid counter-trend entries. 🔹 Best Ways to Trade It Use Higher Timeframe Bias Run the strategy on 15m/1H, but only trade in direction of higher timeframe trend (e.g., 4H EMA). Example: If daily is bullish → only take bullish divergences. Pair With Structure Look for signals at key zones: HTF support/resistance, VWAP, or FVGs. Divergence + RSI cross inside an FVG is a strong entry trigger. Adjust OB/OS for Volatility For crypto/FX: use 35/65 instead of 30/70 (markets trend harder). For ES/S&P: 30/70 works fine. Risk Management Is King Use partial exits: take profit at 1R, trail rest. Size by % of equity (we coded this into the strategy). Avoid News Spikes Divergences break down around CPI, NFP, Fed announcements — stay flat. 🔹 When It Shines Trending markets that make extended pushes → clean divergences. Reversal zones (oversold → bullish bounce, overbought → bearish fade). Swing trading (15m–4H) — less noise than 1m/5m scalping. 🔹 When to Avoid Low volatility chop → lots of false divergences. During high-impact news → RSI swings wildly. In strong one-way trends without pullbacks — divergence keeps calling tops/bottoms too early. ✅ Summary: This is a reversal-focused RSI divergence strategy with strict filters. It’s powerful when combined with higher-timeframe bias + structure confluence, but weak if traded blindly in choppy or news-driven conditions. Best to treat it as a precision entry trigger, not a full system — layer it on top of your FVG/ORB framework for maximum edge.
Pine Script® indicator
by noxum