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TASC 2025.09 The Continuation Index █ OVERVIEW This script implements the "Continuation Index" as described by John F. Ehlers in the September 2025 edition of TASC's Trader's Tips . The Continuation Index uses Laguerre filters (featured in the July 2025 edition) to provide an early indication of trend direction, continuation, and exhaustion. █ CONCEPTS The idea for the Continuation Index was formed from an observation about Laguerre filters. In his article, Ehlers notes that when price is in trend, it tends to stay to one side of the filter. When considering smoothing, the UltimateSmoother was an obvious choice to reduce lag. With that in mind, The Continuation Index normalizes the difference between UltimateSmoother and the Laguerre filter to produce a two-state oscillator. To minimize lag, the UltimateSmoother length in this indicator is fixed to half the length of the Laguerre filter. █ USAGE The Continuation Index consists of two primary states. +1 suggests that the trader should position on the long side. -1 suggests that the user should position on the short side. Other readings can imply other opportunities, such as: High Value Fluctuation could be used as a "buy the dip" opportunity. Low Value Fluctuation could be used as a "sell the pop" opportunity. █ INPUTS By understanding the inputs and adjusting them as needed, each trader can benefit more from this indicator: Gamma : Controls the Laguerre filter's response. This can be set anywhere between 0 and 1. If set to 0, the filter’s value will be the same as the UltimateSmoother. Order : Controls the lag of the Laguerre filter, which is important when considering the timing of the system for spotting reversals. This can be set from 1 to 10, with lower values typically producing faster timing. Length : Affects the smoothing of the display. Ehlers recommends starting with this value set to the intended amount of time you plan to hold a position. Consider your chart timeframe when setting this input. For example, on a daily chart, if you intend to hold a position for one month, set a value of 20.
Pine Script® indicator
by PineCodersTASC
2
Ultimate Webby RSI 2.0 for MNQ 3m 🔎 Introduction This is a flexible version of Amphibiantrading’s Webby RSI concept, optimized for MNQ 3-minute trading. It normalizes the distance of price from moving averages (EMA/SMA) using ATR, producing stretch histograms that highlight overextended moves. I extended it with: ✅ Swing and Scalper presets (instantly switch via dropdown) ✅ Custom mode (type in your own parameters) ✅ Optional HTF (Higher Timeframe) bias filter — e.g., only show longs when 15m trend is up ✅ Alerts for bull/bear stretches and SMA extension ⚙️ Core Logic Green histogram = low above EMA (normalized by ATR) → bullish stretch Red histogram = EMA above high → bearish stretch Orange line = high above SMA → extension (useful for exhaustion / fade plays) Stretch Level line = threshold (default depends on Swing vs Scalper preset) 📊 Presets Choose in the Mode dropdown: Swing (MNQ 3m) ATR Length = 100 EMA Length = 34 SMA Length = 14 Stretched Level = 3.8 👉 Fewer, cleaner signals (approx 3–6/day). Scalper (MNQ 3m) ATR Length = 34 EMA Length = 13 SMA Length = 8 Stretched Level = 2.4 👉 More signals (approx 15–25/day). Custom Enter your own ATR/EMA/SMA/Level values. 🧭 HTF Bias Filter (optional) Enable the toggle to align entries with a higher-timeframe trend. Example: HTF timeframe = 15m, EMA(34) If close > EMA → bull bias (only green/orange plots show) If close < EMA → bear bias (only red plots show) Optional background tint shows bias (green = bull, red = bear). This reduces false signals and keeps you trading with the bigger move. 🚀 How to Use Add the indicator → In settings, choose Mode (Swing/Scalper/Custom). Leave Computation timeframe = 3 and Override symbol = MNQ1! for MNQ micro futures. Watch for histogram/extension values crossing your Stretched Level. Bull stretch above threshold = price stretched to upside. Bear stretch above threshold = price stretched to downside. SMA extension = price extended above SMA, often exhaustion. (Optional) Turn on HTF Bias to only take trades in the main trend direction. 🔔 Alerts Included Bull Stretch > Level (positive histogram crosses above level) Bear Stretch > Level (negative histogram crosses above level) SMA Extension > Level (SMA line crosses above level) All alerts automatically respect the HTF bias filter if enabled. ⚠️ Notes & Best Practices Stretched Level is not RSI OB/OS — it’s distance normalized by ATR. Combine with market structure (VWAP, supply/demand, session levels). If using higher-TF calculations (via HTF bias), remember values finalize at the close of that TF bar. Swing preset is better for holding through moves; Scalper preset is better for fast in/out trading. Always combine with risk management — normalized stretch can still extend further in strong trends. ✅ Credits Original Webby RSI by Amphibiantrading. Extended by for flexible MNQ swing/scalp use with HTF filters. ⚖️ Disclaimer This script is provided for educational purposes only. It does not constitute financial advice or an offer to buy or sell any financial instrument. Trading futures, stocks, forex, and cryptocurrencies involves substantial risk and may not be suitable for every investor. Past performance is not indicative of future results. Always do your own research and consult with a licensed financial advisor before making any trading decisions. Use at your own risk.
Pine Script® indicator
by rzanoli61
Multi timeframe Weekly & Daily EMA Levels (12,21,50,100,200)This indicator provides important weekly and daily levels for lower time frame traders, whom trades based on reaction of these levels. Dedicated to Prof Michael G Key Features: Multi-timeframe EMAs: Shows 12, 21, 50, 100, and 200 period EMAs from both Weekly and Daily timeframes Horizontal dotted lines: that only shows the latest Weekly and daily level. so chart wont be messy. Works on all timeframes: The lines will appear on any chart timeframe you're viewing Customizable: Individual toggles for each EMA period and timeframe Settings Available: Toggle Weekly/Daily EMAs on/off Enable/disable individual EMA periods (12, 21, 50, 100, 200) Customize colors for each EMA line Adjust line width Optional labels showing current EMA values How to Use: Click "Add to Chart" Adjust settings in the indicator's Style tab as needed The weekly EMAs appear with slightly more opacity (30%) while daily EMAs have higher transparency (60%) to help distinguish between timeframes. The lines will automatically update as new bars form and will be visible regardless of what timeframe you're currently viewing on your chart.
Pine Script® indicator
by aminbehravan
Doji Detector - ZTFNon-Lagging Doji Detector This indicator automatically identifies and plots four types of doji candlestick patterns in real-time. Common Doji - Small body with balanced upper and lower shadows (blue diamond) Long-Legged Doji - Small body with very long shadows on both sides (purple square) Dragonfly Doji - Small body with long lower shadow, minimal upper shadow (green triangle) Four-Price Doji - All prices (OHLC) nearly equal, forming a flat line (orange cross) Key Features: Detects patterns as they form (non-lagging) or waits for candle close confirmation Adjustable body size threshold (default 10% of candle range) Tiny, unobtrusive labels positioned below bars Works on all timeframes and instruments Simple pattern recognition without directional bias How it works: The indicator analyzes each candle's body size relative to its total range and shadow proportions. It uses a hierarchy system to classify each doji into its most specific type, ensuring only one label per candle.
Pine Script® indicator
by zerotofunded
Ultimate Webby RSI Pro [MNQ 3min]Ultimate Webby RSI Pro – User Guide I made it to use it on NQ micro futures on a 3-minute time frame. What it does Plots the RSI as a colored histogram (green above 50, red below 50, gray near 50). Adds adaptive ATR-scaled bands around RSI to measure volatility-adjusted momentum. Optional multi-timeframe RSI filter (choose a higher resolution to confirm signals). Optional volume filter (signals only when volume is above average). Detects potential bullish and bearish divergences. Generates buy/sell alerts when RSI crosses 30/70 with wave/volume confirmation. How to use it Apply to a chart (default: MNQ 3m). Look for Buy signals (green triangles) when RSI crosses upward through 30 with trend/volume confirmation. Look for Sell signals (red triangles) when RSI crosses downward through 70 with trend/volume confirmation. Use the colored histogram for quick momentum reading: Green = bullish pressure Red = bearish pressure Gray = neutral/transition Watch ATR bands: when RSI approaches/exceeds them, momentum may be stretched. Divergence labels (“Bull Div” / “Bear Div”) highlight possible reversal zones. Enable TradingView alerts from the “Webby RSI Buy/Sell Signal” conditions. ⚠️ Disclaimer This script is provided for educational purposes only. It is not financial advice, and past performance does not guarantee future results. Always do your own research and use proper risk management before trading or investing.
Pine Script® indicator
by rzanoli61
1
BTC Cycle Crystal Ball (MMI) The BTC Cycle Crystal Ball (Market Mood Index) Visualize Bitcoin’s market cycles at a glance! This dashboard combines three core metrics—MVRV-Z proxy, 200-week MA ratio, and price vs realized price—into a single 0–1 Market Mood Index . Color-coded from deep blue (strong buying) to red (potential selling), it highlights accumulation and distribution zones. Fully adjustable thresholds let you define your own buying/selling zones. Quickly see BTC’s market “mood” and identify key cycle points—no clutter, just clarity. Disclaimer This indicator is for informational and educational purposes only . It is not financial advice. Users should perform their own analysis before making trading or investment decisions.
Pine Script® indicator
by trade-forward
Machine Learning BBPct [BackQuant]Machine Learning BBPct What this is (in one line) A Bollinger Band %B oscillator enhanced with a simplified K-Nearest Neighbors (KNN) pattern matcher. The model compares today’s context (volatility, momentum, volume, and position inside the bands) to similar situations in recent history and blends that historical consensus back into the raw %B to reduce noise and improve context awareness. It is informational and diagnostic—designed to describe market state, not to sell a trading system. Background: %B in plain terms Bollinger %B measures where price sits inside its dynamic envelope: 0 at the lower band, 1 at the upper band, ~ 0.5 near the basis (the moving average). Readings toward 1 indicate pressure near the envelope’s upper edge (often strength or stretch), while readings toward 0 indicate pressure near the lower edge (often weakness or stretch). Because bands adapt to volatility, %B is naturally comparable across regimes. Why add (simplified) KNN? Classic %B is reactive and can be whippy in fast regimes. The simplified KNN layer builds a “nearest-neighbor memory” of recent market states and asks: “When the market looked like this before, where did %B tend to be next bar?” It then blends that estimate with the current %B. Key ideas: • Feature vector . Each bar is summarized by up to five normalized features:   – %B itself (normalized)   – Band width (volatility proxy)   – Price momentum (ROC)   – Volume momentum (ROC of volume)   – Price position within the bands • Distance metric . Euclidean distance ranks the most similar recent bars. • Prediction . Average the neighbors’ prior %B (lagged to avoid lookahead), inverse-weighted by distance. • Blend . Linearly combine raw %B and KNN-predicted %B with a configurable weight; optional filtering then adapts to confidence. This remains “simplified” KNN: no training/validation split, no KD-trees, no scaling beyond windowed min-max, and no probabilistic calibration. How the script is organized (by input groups) 1) BBPct Settings • Price Source – Which price to evaluate (%B is computed from this). • Calculation Period – Lookback for SMA basis and standard deviation. • Multiplier – Standard deviation width (e.g., 2.0). • Apply Smoothing / Type / Length – Optional smoothing of the %B stream before ML (EMA, RMA, DEMA, TEMA, LINREG, HMA, etc.). Turning this off gives you the raw %B. 2) Thresholds • Overbought/Oversold – Default 0.8 / 0.2 (inside ). • Extreme OB/OS – Stricter zones (e.g., 0.95 / 0.05) to flag stretch conditions. 3) KNN Machine Learning • Enable KNN – Switch between pure %B and hybrid. • K (neighbors) – How many historical analogs to blend (default 8). • Historical Period – Size of the search window for neighbors. • ML Weight – Blend between raw %B and KNN estimate. • Number of Features – Use 2–5 features; higher counts add context but raise the risk of overfitting in short windows. 4) Filtering • Method – None, Adaptive, Kalman-style (first-order), or Hull smoothing. • Strength – How aggressively to smooth. “Adaptive” uses model confidence to modulate its alpha: higher confidence → stronger reliance on the ML estimate. 5) Performance Tracking • Win-rate Period – Simple running score of past signal outcomes based on target/stop/time-out logic (informational, not a robust backtest). • Early Entry Lookback – Horizon for forecasting a potential threshold cross. • Profit Target / Stop Loss – Used only by the internal win-rate heuristic. 6) Self-Optimization • Enable Self-Optimization – Lightweight, rolling comparison of a few canned settings (K = 8/14/21 via simple rules on %B extremes). • Optimization Window & Stability Threshold – Governs how quickly preferred K changes and how sensitive the overfitting alarm is. • Adaptive Thresholds – Adjust the OB/OS lines with volatility regime (ATR ratio), widening in calm markets and tightening in turbulent ones (bounded 0.7–0.9 and 0.1–0.3). 7) UI Settings • Show Table / Zones / ML Prediction / Early Signals – Toggle informational overlays. • Signal Line Width, Candle Painting, Colors – Visual preferences. Step-by-step logic A) Compute %B Basis = SMA(source, len); dev = stdev(source, len) × multiplier; Upper/Lower = Basis ± dev. %B = (price − Lower) / (Upper − Lower). Optional smoothing yields standardBB . B) Build the feature vector All features are min-max normalized over the KNN window so distances are in comparable units. Features include normalized %B, normalized band width, normalized price ROC, normalized volume ROC, and normalized position within bands. You can limit to the first N features (2–5). C) Find nearest neighbors For each bar inside the lookback window, compute the Euclidean distance between current features and that bar’s features. Sort by distance, keep the top K . D) Predict and blend Use inverse-distance weights (with a strong cap for near-zero distances) to average neighbors’ prior %B (lagged by one bar). This becomes the KNN estimate. Blend it with raw %B via the ML weight. A variance of neighbor %B around the prediction becomes an uncertainty proxy ; combined with a stability score (how long parameters remain unchanged), it forms mlConfidence ∈ . The Adaptive filter optionally transforms that confidence into a smoothing coefficient. E) Adaptive thresholds Volatility regime (ATR(14) divided by its 50-bar SMA) nudges OB/OS thresholds wider or narrower within fixed bounds. The aim: comparable extremeness across regimes. F) Early entry heuristic A tiny two-step slope/acceleration probe extrapolates finalBB forward a few bars. If it is on track to cross OB/OS soon (and slope/acceleration agree), it flags an EARLY_BUY/SELL candidate with an internal confidence score. This is explicitly a heuristic—use as an attention cue, not a signal by itself. G) Informational win-rate The script keeps a rolling array of trade outcomes derived from signal transitions + rudimentary exits (target/stop/time). The percentage shown is a rough diagnostic , not a validated backtest. Outputs and visual language • ML Bollinger %B (finalBB) – The main line after KNN blending and optional filtering. • Gradient fill – Greenish tones above 0.5, reddish below, with intensity following distance from the midline. • Adaptive zones – Overbought/oversold and extreme bands; shaded backgrounds appear at extremes. • ML Prediction (dots) – The KNN estimate plotted as faint circles; becomes bright white when confidence > 0.7. • Early arrows – Optional small triangles for approaching OB/OS. • Candle painting – Light green above the midline, light red below (optional). • Info panel – Current value, signal classification, ML confidence, optimized K, stability, volatility regime, adaptive thresholds, overfitting flag, early-entry status, and total signals processed. Signal classification (informational) The indicator does not fire trade commands; it labels state: • STRONG_BUY / STRONG_SELL – finalBB beyond extreme OS/OB thresholds. • BUY / SELL – finalBB beyond adaptive OS/OB. • EARLY_BUY / EARLY_SELL – forecast suggests a near-term cross with decent internal confidence. • NEUTRAL – between adaptive bands. Alerts (what you can automate) • Entering adaptive OB/OS and extreme OB/OS. • Midline cross (0.5). • Overfitting detected (frequent parameter flipping). • Early signals when early confidence > 0.7. These are purely descriptive triggers around the indicator’s state. Practical interpretation • Mean-reversion context – In range markets, adaptive OS/OB with ML smoothing can reduce whipsaws relative to raw %B. • Trend context – In persistent trends, the KNN blend can keep finalBB nearer the mid/upper region during healthy pullbacks if history supports similar contexts. • Regime awareness – Watch the volatility regime and adaptive thresholds. If thresholds compress (high vol), “OB/OS” comes sooner; if thresholds widen (calm), it takes more stretch to flag. • Confidence as a weight – High mlConfidence implies neighbors agree; you may rely more on the ML curve. Low confidence argues for de-emphasizing ML and leaning on raw %B or other tools. • Stability score – Rising stability indicates consistent parameter selection and fewer flips; dropping stability hints at a shifting backdrop. Methodological notes • Normalization uses rolling min-max over the KNN window. This is simple and scale-agnostic but sensitive to outliers; the distance metric will reflect that. • Distance is unweighted Euclidean. If you raise featureCount, you increase dimensionality; consider keeping K larger and lookback ample to avoid sparse-neighbor artifacts. • Lag handling intentionally uses neighbors’ previous %B for prediction to avoid lookahead bias. • Self-optimization is deliberately modest: it only compares a few canned K/threshold choices using simple “did an extreme anticipate movement?” scoring, then enforces a stability regime and an overfitting guard. It is not a grid search or GA. • Kalman option is a first-order recursive filter (fixed gain), not a full state-space estimator. • Hull option derives a dynamic length from 1/strength; it is a convenience smoothing alternative. Limitations and cautions • Non-stationarity – Nearest neighbors from the recent window may not represent the future under structural breaks (policy shifts, liquidity shocks). • Curse of dimensionality – Adding features without sufficient lookback can make genuine neighbors rare. • Overfitting risk – The script includes a crude overfitting detector (frequent parameter flips) and will fall back to defaults when triggered, but this is only a guardrail. • Win-rate display – The internal score is illustrative; it does not constitute a tradable backtest. • Latency vs. smoothness – Smoothing and ML blending reduce noise but add lag; tune to your timeframe and objectives. Tuning guide • Short-term scalping – Lower len (10–14), slightly lower multiplier (1.8–2.0), small K (5–8), featureCount 3–4, Adaptive filter ON, moderate strength. • Swing trading – len (20–30), multiplier ~2.0, K (8–14), featureCount 4–5, Adaptive thresholds ON, filter modest. • Strong trends – Consider higher adaptive_upper/lower bounds (or let volatility regime do it), keep ML weight moderate so raw %B still reflects surges. • Chop – Higher ML weight and stronger Adaptive filtering; accept lag in exchange for fewer false extremes. How to use it responsibly Treat this as a state descriptor and context filter. Pair it with your execution signals (structure breaks, volume footprints, higher-timeframe bias) and risk management. If mlConfidence is low or stability is falling, lean less on the ML line and more on raw %B or external confirmation. Summary Machine Learning BBPct augments a familiar oscillator with a transparent, simplified KNN memory of recent conditions. By blending neighbors’ behavior into %B and adapting thresholds to volatility regime—while exposing confidence, stability, and a plain early-entry heuristic—it provides an informational, probability-minded view of stretch and reversion that you can interpret alongside your own process.
Pine Script® indicator
by BackQuant
3 Displaced Exponential Moving Averages — by Negociador Oliveira3 Displaced Exponential Moving Averages — by Negociador Oliveira Description: Custom indicator combining three Exponential Moving Averages (EMAs) with strategic parameters and specific displacements: 📈 21-period EMA — no displacement, ideal for capturing short-term movements. 📊 34-period EMA with a shift of 5 — smooths out noise and anticipates mid-term trends. 📉 250-period EMA with a shift of 20 — long-term reference with forward-looking insight. All moving averages are plotted within a single indicator, making analysis and decision-making easier. Purpose: To identify confluence zones, reversals, and trend confirmations with greater precision. ⚠️ Be mindful of risk management, and follow it strictly!
Pine Script® indicator
by cristiano1983
Adaptive SuperTrend Stop – Daily Stocks (by G.I.N.e Trading)Indicator: Adaptive SuperTrend Stop – Daily Stocks (by G.I.N.e Trading) What it does A single, easy-to-read trailing stop line designed for stocks on the daily timeframe. It adapts to trend strength and suppresses noise. Red line = active stop for long trends. Green line = active stop for short trends. The opposite side can be shown faintly for context (optional). How it works Adaptive SuperTrend core (ATR × multiplier). Uses ATR(22) (≈ 1 month). The multiplier auto-scales with ADX: it tightens in strong trends and loosens in weak ones (linear interpolation between Slow and Fast multipliers using an ADX low/high band). ATR “cap” (gap/spike control). ATR is capped at SMA(ATR) × capMult to avoid oversized stops after abnormal moves. Structural cushion (Donchian + ATR). Long stop = max(SuperTrend, DonchianLow(N) + cushion × ATR) Short stop = min(SuperTrend, DonchianHigh(N) − cushion × ATR) This prevents the stop from sitting inside the recent range. Gap shield (daily only). On an adverse gap ≥ X × ATR, the cushion widens only for that bar to avoid false exits. Regime confirmation (anti-whipsaw). A trend switch (up ↔ down) is confirmed only after N consecutive bars agreeing with the new regime. HMA(50) color tone (optional). Does not drive the stop; it just shades the line (strong vs soft color) if HMA slope agrees with the trend. Key inputs ATR length & cap (SMA(ATR) × capMult). ADX period/smoothing + ADX low/high band, Slow/Fast multipliers. Donchian length & ATR cushion (+ optional gap shield: threshold and extra pad). Confirm bars for regime change; show passive line (optional). How to use For longs, trail the red line; for shorts, trail the green line. Exit when price closes through the active stop, or use it as a dynamic stop-loss. The stop auto-tightens in strong trends and relaxes in choppy phases; the cushion helps avoid noise-stops within recent ranges. Tuning tips Tighter / earlier exits: raise Fast multiplier, lower Slow, reduce Donchian length or cushion, set confirm bars = 1. Looser / let winners run: lower Fast, raise Slow, increase Donchian length or cushion, set confirm bars = 3. If your universe is very volatile, raise ADX high and the cap multiplier slightly. Best for Daily equities where you want a clean, adaptive trailing stop that respects trend strength, mitigates gaps/spikes, and avoids getting trapped inside short-term ranges.
Pine Script® indicator
by Chrispet78
Bull Market Support Band Bull Market Support Band – Description The Bull Market Support Band is a technical indicator that highlights the zone between the 20-week Simple Moving Average (SMA) and the 21-week Exponential Moving Average (EMA). This band acts as a key support area during strong uptrends (bull markets). In bull markets, price tends to stay above this band, with pullbacks often finding support within it. A sustained breakdown below the band frequently signals weakening momentum or the transition into a sideways or bear phase. In bear markets, the band often flips into resistance, where relief rallies fail. By filling the area between the SMA 20 (Weekly) and EMA 21 (Weekly), the indicator provides a clear visual reference for whether the market is trading above or below this critical support band.
Pine Script® indicator
by NitramCrowbar
VSA - The Volume HUDVSA Volume HUD: Your At-a-Glance Volume Dashboard Tired of cluttered charts with multiple indicators taking up screen space? The VSA Volume HUD is a clean, powerful, and fully customisable Heads-Up Display that puts all the critical volume and price action data you need into one compact box, right on your chart. Designed for traders who rely on Volume Spread Analysis (VSA), this tool helps you instantly gauge the strength, conviction, and context behind every price move as it happens. Key Features This indicator isn't just about showing the current volume; it provides a comprehensive, real-time analysis of the market's activity. Real-time VSA Dashboard: A persistent on-screen table that updates with every tick, giving you instant feedback without needing to look away from the price. The HUD is fully draggable (hold Ctrl/Cmd + click and drag) to place it anywhere you like. Essential Volume Metrics: Current Volume: Displayed in a clean, abbreviated format (e.g., 1.25M for millions, 54.3K for thousands). % Change (vs. Previous Bar): Instantly see if volume is expanding or contracting. Vs Short-Term Average: Compare the current bar's volume to a moving average to spot unusual spikes. Volume Velocity: Measures the rate of change in volume over a short period, helping you spot acceleration or deceleration in market interest. Relative Volume (RVOL): See how the current volume compares to the average for that specific time of day, perfect for identifying abnormally high or low activity. Price Action & Volatility Context: Range vs. ATR: Quickly determine if the current bar's volatility is expanding or contracting compared to the recent average. Price vs. VWAP: See how far the current price has deviated from the session's Volume-Weighted Average Price, a key level for institutional traders. Deep Customization is Key Tailor the HUD to perfectly match your trading style and chart aesthetic. Display & Layout: Compact Mode: Remove the metric labels for a sleek, minimalist view that saves screen space. Bar Meters: Enable optional visual bars next to key metrics for a quick, graphical representation of strength. Total Control: Toggle every single metric on or off to build the exact dashboard you need. Adjust text size, position, and background opacity with ease. Smart Coloring & Visual Alerts: Advanced VSA Coloring: This isn't just about up/down candles. The script intelligently colors volume based on confluence. It highlights increasing volume on a strong up-bar (bullish confirmation) or increasing volume on a down-bar (potential climax or distribution), giving you a deeper VSA context. High Volume Highlight: Make standout bars impossible to miss! The entire HUD background can change color automatically when volume surges past a custom threshold (e.g., over 150% of the average), instantly drawing your attention to critical moments. Full Color Customization: Change every color to match your chart's theme, including separate colors for bullish/bearish moves, the background, and the border. How to Use It The VSA Volume HUD is a powerful confirmation tool. Use it to: Confirm Breakouts: Look for a spike in Volume vs. Average and RVOL as price breaks a key level. Spot Exhaustion: Notice high volume on a narrow-range candle after a long trend, visible through the Range/ATR metric. Gauge Conviction: Use the Advanced Coloring to see if volume is supporting the price move (e.g., green volume on a green candle) or diverging from it.
Pine Script® indicator
by MrPhipps
Fractal Circles#### FRACTAL CIRCLES #### I combined 2 of my best indicators Fractal Waves (Simplified) and Circles. Combining the Fractal and Gann levels makes for a very simple trading strategy. Core Functionality Gann Circle Levels: This indicator plots mathematical support and resistance levels based on Gann theory, including 360/2, 360/3, and doubly strong levels. The system automatically adjusts to any price range using an intelligent multiplier system, making it suitable for forex, stocks, crypto, or any market. Fractal Wave Analysis: Integrates real-time trend analysis from both current and higher timeframes. Shows the current price range boundaries (high/low) and trend direction through dynamic lines and background fills, helping traders understand market structure. Key Trading Benefits Active Level Detection: The closest Gann level to current price is automatically highlighted in green with increased line thickness. This eliminates guesswork about which level is most likely to act as immediate support or resistance. Real-Time Price Tracking: A customizable line follows current price with an offset to the right, projecting where price sits relative to upcoming levels. A gradient-filled box visualizes the exact distance between current price and the active Gann level. Multi-Timeframe Context: View fractal waves from higher timeframes while maintaining current timeframe precision. This helps identify whether short-term moves align with or contradict longer-term structure. Smart Alert System: Comprehensive alerts trigger when price crosses any Gann level, with options to monitor all levels or focus only on the active level. Reduces the need for constant chart monitoring while ensuring you never miss significant level breaks. Practical Trading Applications Entry Timing: Use active level highlighting to identify the most probable support/resistance for entries. The real-time distance box helps gauge risk/reward before entering positions. Risk Management: Set stops based on Gann level breaks, particularly doubly strong levels which tend to be more significant. The gradient visualization makes it easy to see how much room price has before hitting key levels. Trend Confirmation: Fractal waves provide immediate context about whether current price action aligns with broader market structure. Bullish/bearish background fills offer quick visual confirmation of trend direction. Multi-Asset Analysis: The auto-scaling multiplier system works across all markets and timeframes, making it valuable for traders who monitor multiple instruments with vastly different price ranges. Confluence Trading: Combine Gann levels with fractal wave boundaries to identify high-probability setups where multiple technical factors align. This tool is particularly valuable for traders who appreciate mathematical precision in their technical analysis while maintaining the flexibility to adapt to real-time market conditions.
Pine Script® indicator
by polyslyme
Trend Change Strength – by G.I.N.e TradingIdentifies powerful trend reversals with high follow-through potential. The sub-pane plots green bars for strong bullish shifts, red bars for strong bearish shifts, and gray bars for sideways/no-trade conditions. Bar height reflects how many “strength conditions” are met. How it works (signals = K-of-7 conditions) The indicator scores each bar by checking up to 7 independent strength factors: Trend inflection: HMA slope flips with a minimum slope magnitude. Price confirmation: Close crosses the HMA with an ATR buffer. Directional energy: ADX above threshold and rising. Momentum thrust: RSI exits the neutral band and MACD turns/accelerates. Volatility expansion: ATR above its moving average and BBWidth expanding. Volume + candle quality: Volume above MA × multiplier with a strong body location (thrust candle). Structural breakout: Close breaks recent high/low window. Bullish (green) when at least K bullish conditions are true. Bearish (red) when at least K bearish conditions are true. Lateral (gray) when a separate flat filter (low ADX, flat slope, BBWidth below its MA) is active. Key inputs Trend/Price: HMA length, min slope %, ATR buffer, breakout lookback. Momentum: RSI period + neutral band, MACD (fast/slow/signal), momentum lookback. Vol/Volatility: Volume MA period & multiplier, min candle body ratio, ATR/BBWidth expansion settings. ADX Gate: ADX period/smoothing/threshold, optional gating. Logic: needHits K (minimum strong conditions), confirmBars (persistence), cooldownBars (avoid rapid re-signals). Lateral Filter: thresholds for ADX, slope %, and BBWidth vs its MA. How to use Trade only green/red bars (direction comes from bar color); skip gray bars. Combine with your entries (HARSI/MACD/price action) and your exit/trailing logic. Use needHits to control selectivity: higher K = fewer, stronger signals. Tuning tips More selective: increase needHits, ADX threshold, minSlope%, ATR/BB expansion multipliers, and breakout lookback. More permissive: lower needHits, soften thresholds, reduce cooldown. Best for Daily stocks and intraday futures/indices when you want quality reversal entries with evidence of momentum, volatility, directionality, volume, and structure—all aligned.
Pine Script® indicator
by Chrispet78
Multi-Band Trend LineThis Pine Script creates a versatile technical indicator called "Multi-Band Trend Line" that builds upon the concept of the popular "Follow Line Indicator" by Dreadblitz. While the original Follow Line Indicator uses simple trend detection to place a line at High or Low levels, this enhanced version combines multiple band-based trading strategies with dynamic trend line generation. The indicator supports five different band types and provides more sophisticated buy/sell signals based on price breakouts from various technical analysis bands. Key Features Multi-Band Support The indicator supports five different band types: - Bollinger Bands: Uses standard deviation to create bands around a moving average - Keltner Channels: Uses ATR (Average True Range) to create bands around a moving average - Donchian Channels: Uses the highest high and lowest low over a specified period - Moving Average Envelopes: Creates bands as a percentage above and below a moving average - ATR Bands: Uses ATR multiplier to create bands around a moving average Dynamic Trend Line Generation (Enhanced Follow Line Concept) - Similar to the Follow Line Indicator, the trend line is placed at High or Low levels based on trend direction - Key Enhancement: Instead of simple trend detection, this version uses band breakouts to trigger trend changes - When price breaks above the upper band (bullish signal), the trend line is set to the low (optionally adjusted with ATR) - similar to Follow Line's low placement - When price breaks below the lower band (bearish signal), the trend line is set to the high (optionally adjusted with ATR) - similar to Follow Line's high placement - The trend line acts as dynamic support/resistance, following the price action more precisely than the original Follow Line ATR Filter (Follow Line Enhancement) - Like the original Follow Line Indicator, an ATR filter can be selected to place the line at a more distance level than the normal mode settled at candles Highs/Lows - When enabled, it adds/subtracts ATR value to provide more conservative trend line placement - Helps reduce false signals in volatile markets - This feature maintains the core philosophy of the Follow Line while adding more precision through band-based triggers Signal Generation - Buy Signal: Generated when trend changes from bearish to bullish (trend line starts rising) - Sell Signal: Generated when trend changes from bullish to bearish (trend line starts falling) - Signals are displayed as labels on the chart Visual Elements - Upper and lower bands are plotted in gray - Trend line changes color based on direction (green for bullish, red for bearish) - Background color changes based on trend direction - Buy/sell signals are marked with labeled shapes How It Works Band Calculation: Based on the selected band type, upper and lower boundaries are calculated Signal Detection: When price closes above the upper band or below the lower band, a breakout signal is generated Trend Line Update: The trend line is updated based on the breakout direction and previous trend line value Trend Direction: Determined by comparing current trend line with the previous value Alert Generation: Buy/sell conditions trigger alerts and visual signals Use Cases Enhanced trend following strategies: More precise than basic Follow Line due to band-based triggers Breakout trading: Multiple band types provide various breakout opportunities Dynamic support/resistance identification: Combines Follow Line concept with band analysis Multi-timeframe analysis with different band types: Choose the most suitable band for your timeframe Reduced false signals: Band confirmation provides better entry/exit points compared to simple trend following
Pine Script® indicator
by Mr_Rakun
4
Anti-Lateral Filter – Trio by G.I.N.e TradingThis indicator flags market regimes to help you avoid sideways chop. It plots gray columns when conditions indicate a lateral/non-trending market (do not enter), and green columns when conditions indicate a trend-ready environment (entries allowed). Direction (long/short) is not assigned—pair it with your own triggers. How it works (4 selectable modes) ER (Efficiency Ratio): Measures directional efficiency of price movement (Kaufman ER). Low ER ⇒ sideways; high ER ⇒ directional. CHOP + Squeeze: Uses Choppiness Index (log TR vs range) and Bollinger Band Width percentile. High CHOP + low BBWidth ⇒ lateral; CHOP dropping + BB expanding ⇒ trend. Donchian Trendiness: Normalized distance of close from the Donchian channel midline. Near center ⇒ lateral; near edges ⇒ trend. Hybrid (2-of-3): Confirms trend only when at least two methods agree; similarly for lateral. Extras ADX gate (optional): Require ADX ≥ threshold for trend confirmation. Consecutive-bar confirmation: confirmBars ensures regime persistence before switching. Inputs (key) Method selector: ER / CHOP+Squeeze / Donchian / Hybrid 2-of-3. confirmBars (persistence), useAdxGate + adxLen/smoothing/threshold. ER lookback & thresholds; CHOP length & BBWidth percentile; Donchian length & trendiness bounds. How to use Apply the indicator in a sub-pane. Trade only on green bars (trend-ready) and stand aside on gray bars (lateral). Combine with your entry logic (e.g., HARSI/MACD/price action) and your own risk management. Tuning tips More permissive (more greens): Lower ER trend threshold, raise CHOP trend max, lower Donchian trendiness min, set confirmBars=1, or disable ADX gate. More selective (fewer greens): Do the opposite and consider higher ADX threshold.
Pine Script® indicator
by Chrispet78