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Supertrend

AI-SuperTrend (KNN Machine Learning)AI-SuperTrend (KNN Machine Learning) ▶️Overview The AI-SuperTrend (KNN Machine Learning) is a trend-following indicator that integrates a K-Nearest Neighbors (KNN) classification engine into the classic SuperTrend algorithm. Rather than attempting to "predict" the future in the traditionally volatile and noise-heavy financial markets, this tool treats the market as a multi-dimensional state to be estimated. By continuously sampling historical data, the engine identifies clusters of past conditions that mirror the present. It then analyzes the trend of those neighbors to deduce the "True State" of the current market, using this statistical consensus to validate SuperTrend signals and filter out deceptive market noise. ▶️Why KNN for Financial Markets? In the noise-heavy environment of financial markets, complex parametric models like Support Vector Machines (SVM) or Deep Neural Networks often struggle with stability. These models frequently suffer from convergence issues during training, or they produce outputs that stagnate around the mean due to the low signal-to-noise ratio of financial data. Most critically, they are highly prone to overfitting, capturing random price fluctuations as if they were true alpha. KNN offers a distinct advantage through its Robustness and Adaptability: Non-parametric Nature: KNN makes no underlying assumptions about the distribution of data, allowing it to adapt to non-linear and evolving market regimes. Rolling Window Learning: The model utilizes a rolling "Learning Window" that naturally aligns with the bar-by-bar execution of Pine Script. This approach ensures that the engine is always synchronized with the most relevant, recent market structures while remaining computationally efficient within the platform's resource constraints. ▶️Core Methodology: KNN and State Estimation 1. The KNN Engine K-Nearest Neighbors is a non-parametric "Lazy Learning" algorithm. Instead of building a static model, it looks at the current market "Feature Vector" and searches the historical database for the K most similar instances. Distance Metric: Uses the Minkowski Distance. This is adjustable via the p-parameter, where p=1 represents Manhattan distance and p=2 represents Euclidean distance. Gaussian Weighting: Not all neighbors are equal. The script applies a Weighting kernel where neighbors closer to the current state carry significantly more weight in the final prediction than those further away. 2. State Estimation (Bayesian-like Approach) The state estimation logic implemented in this script follows the methodology used by myself in the "KNN Machine Learning Momentum Indicator." By applying this approach to the SuperTrend framework, the indicator achieves a higher level of precision in trend validation. Probability Calculation: The probability of a Bullish state is calculated as (Sum of Weights of Bullish Neighbors) divided by (Total Weights of all K Neighbors). Synergistic Robustness: By combining the volatility-based boundaries of SuperTrend with the KNN state estimation, the system significantly improves robustness against market noise. A SuperTrend flip is only considered a "Major" signal if the AI confirms that the underlying market state has truly shifted, based on historical probability. Confirmation: A signal is only triggered if the estimated probability exceeds the user-defined Prediction Threshold (e.g., 0.9 or 90%). 3. Sampling Stride (Efficiency and Diversity) To balance computational load and data diversity within Pine Script's limits, the engine utilizes a Stride mechanism: Computational Efficiency: Instead of checking every single bar in the lookback window, the script samples data at intervals defined by the Stride (e.g., every 15th bar). Pattern Diversity: By skipping adjacent, highly correlated bars, the "Learning Window" covers a broader range of market structures. This ensures the KNN engine sees various types of volatility and price action rather than redundant near-term data. ▶️Key Features Multi-Dimensional Feature Engineering The AI analyzes a "Feature Space" consisting of: RSI Momentum Clusters: Captures momentum across three different time horizons (Short, Medium, Long) to detect lead/lag convergence. MA Deviations: Measures the "stretch" or distance from the mean using various Moving Average types (ZLSMA, HMA, etc.). PCA Compression: An optional Dimensionality Reduction toggle that merges correlated features into 3 Principal Components. This reduces the "Curse of Dimensionality" and focuses the AI on the most impactful data trends. ▶️Parameter Guide 🔲SuperTrend Settings ATR Length: The lookback period for volatility calculation. Factor: The multiplier that determines the distance of the SuperTrend line from price. 🔲Machine Learning Engine K-Neighbors (K): The number of historical patterns to compare. A smaller K is more sensitive to recent changes, while a larger K is more robust but may lag. Learning Window Size: How far back in history the AI "remembers" or searches for neighbors. Stride: The sampling interval. A stride of 15 means the AI learns from every 15th bar, increasing the effective historical range without hitting script calculation limits. Prediction Threshold: The confidence level (0.1 to 1.0) required to trigger a signal. A value of 0.9 means the AI must be 90% certain based on historical weights. 🔲Feature Engineering Feature MA Type: Choose the baseline for deviation (e.g., ZLSMA for zero-lag, HMA for speed). Normalizing Window: The lookback for Z-Score normalization, ensuring all features are on the same scale (mean=0, std=1). Minkowski Parameter (p): Controls the distance logic. p=1 is Manhattan, p=2 is Euclidean. Shape Parameter: Controls the sensitivity of the Gaussian weighting. Higher values make the weights drop off more aggressively as distance increases. ▶️Visual Analytics Major Signals (▲/▼): High-confidence trend changes confirmed by the AI. These are plotted only when the SuperTrend direction aligns with the AI's predicted direction and its probability exceeds the defined threshold. Probability Labels: At every SuperTrend reversal point, the indicator displays a label showing the AI's estimated probability for that trend direction (e.g., "Pred 92%"). This allows for real-time visual assessment of the AI's confidence in the SuperTrend flip. Major Signals: High-confidence trend changes confirmed by the AI. ST Dots: Standard SuperTrend flips without full AI confirmation. Dynamic Bar Color: A gradient representing the real-time AI confidence score. 　Blue/Cyan: High Bullish Confidence. 　Red/Pink: High Bearish Confidence. 　Gray: Neutral or Indecisive state. Disclaimer Past performance does not guarantee future results. This indicator is a tool for statistical analysis and should be used in conjunction with a complete risk management strategy.
Pine Script® indicator
by SatohK
StealthTrail SuperTrend [WillyAlgoTrader]📡 StealthTrail SuperTrend is an overlay indicator that takes the classic SuperTrend concept and adds five layers of noise reduction: an adaptive multiplier that scales bands to current volatility, a flip cushion that requires price to push beyond the band by a configurable ATR distance before confirming a trend change, a cooldown timer that enforces a minimum gap between flips, an RSI momentum filter that blocks trend changes without directional confirmation, and a composite trend strength score (0–100) that quantifies how committed the current trend is. The result is a SuperTrend that stays in trends longer, flips less often in chop, and gives you a real-time confidence reading on every trend leg. 🧩 WHY THESE COMPONENTS WORK TOGETHER The standard SuperTrend has one well-known problem: whipsaws. In ranging or choppy markets, price repeatedly crosses the band boundary, triggering rapid bullish→bearish→bullish flips that produce losing signals. The root causes are: 1. Fixed multiplier — the band width doesn't adapt when volatility contracts or expands, so the same multiplier is too tight in high-vol and too wide in low-vol 2. Instant flip — a single close beyond the band triggers a trend change, even if it's a minor wick-driven overshoot 3. No recovery time — the indicator can flip back on the very next bar, creating same-bar or next-bar whipsaws 4. No momentum context — the flip happens regardless of whether momentum actually supports the new direction StealthTrail addresses each root cause with a dedicated mechanism: Adaptive multiplier → solves #1 : bands automatically widen when ATR is above its average (high volatility) and tighten when below (low volatility), keeping the band distance proportional to current market conditions. Flip cushion → solves #2 : price must close beyond the band by an additional cushion (configurable fraction of ATR) before the flip is accepted, filtering out marginal crossovers. Cooldown timer → solves #3 : after a flip, the indicator ignores further flip attempts for N bars (default 3), preventing rapid back-and-forth in chop. Momentum filter → solves #4 : a bullish flip requires RSI above a threshold, a bearish flip requires RSI below the symmetric threshold, confirming that momentum actually supports the direction change. Trend strength scoring → provides context : combines price distance from band + RSI alignment into a 0–100 score, so you know whether the current trend is strong, fading, or about to flip. These five mechanisms work as a pipeline: the adaptive multiplier sets the right band width → the cushion prevents marginal crossovers → the cooldown prevents rapid reversals → the momentum filter confirms directional support → and the strength score tells you how committed the trend is. Removing any one layer reintroduces the specific whipsaw pattern it was designed to prevent. 🔍 WHAT MAKES IT ORIGINAL 1️⃣ Adaptive volatility multiplier. Instead of using a fixed ATR multiplier (classic SuperTrend), StealthTrail scales the multiplier dynamically: adaptiveMult = baseMultiplier × (currentATR / SMA(ATR, adaptationPeriod)) Where currentATR = ta.atr(atrLength), and SMA(ATR) is the volatility baseline over the adaptation smoothing period (default 55 bars). The ratio currentATR / averageATR measures whether volatility is currently above (ratio > 1.0) or below (ratio < 1.0) its recent norm. The adaptive multiplier is clamped between configurable min (default 1.0) and max (default 5.0) to prevent extreme values. When volatility spikes (e.g., news event), the multiplier increases → bands widen → the trend doesn't flip on a volatility-driven spike. When volatility compresses (consolidation), the multiplier decreases → bands tighten → the indicator catches the breakout earlier. This can be toggled off for classic fixed-multiplier behavior. 2️⃣ Flip cushion — requires extra ATR distance beyond the band. A standard SuperTrend flips the moment close crosses the band. StealthTrail requires: Bullish flip: close > upperBand + cushion × ATR Bearish flip: close < lowerBand − cushion × ATR The cushion (default 0.15× ATR) creates a dead zone around the band boundary. Price must push meaningfully beyond the band — not just touch it — before a flip is accepted. This single mechanism eliminates a large portion of marginal crossover whipsaws where price briefly clips the band before returning. Setting the cushion to 0.0 restores classic SuperTrend behavior (flip exactly at the band). 3️⃣ Signal cooldown timer. After every confirmed trend flip, a counter starts. No new flip can occur for N bars (default 3). This prevents the most destructive whipsaw pattern: a bearish flip immediately followed by a bullish flip on the next bar (or vice versa), which generates two consecutive losing signals. The cooldown is tracked as barsSinceFlip, incremented each bar, and checked before any flip is processed. Only when barsSinceFlip ≥ cooldownInput can a new flip occur. This is independent of the cushion — both must pass. 4️⃣ RSI momentum filter. On every raw trend flip (band crossed + cushion passed + cooldown passed), an additional RSI check is applied: Bullish flip requires: RSI(rsiLength) ≥ rsiThreshold (default 45) Bearish flip requires: RSI(rsiLength) ≤ (100 − rsiThreshold) = 55 This is deliberately asymmetric around the center by design (threshold 45, not 50): a bullish flip only needs RSI ≥ 45 (slightly below center), meaning it passes unless momentum is actively bearish. A bearish flip only needs RSI ≤ 55. This permissive threshold blocks the worst counter-momentum flips without being so strict that it delays legitimate trend changes. When the filter blocks a flip, the trend direction does not change and the band continues ratcheting in the original direction. An optional "Show Filtered Flips" setting displays a muted dot where a flip was blocked — useful for understanding filter behavior. 5️⃣ Composite trend strength score (0–100). On every bar, a strength score is calculated from two components: Distance score (0–50): How far price is from the SuperTrend band, measured in ATR units: distScore = min(|close − band| / ATR × 20, 50) A large distance means price is well away from the band — the trend has room before a potential flip. Momentum score (0–50): How well RSI aligns with the current trend direction: For bullish: momScore = min(max(RSI − 50, 0), 50) For bearish: momScore = min(max(50 − RSI, 0), 50) RSI reading that confirms the trend direction contributes up to 50 points. Total: strength = round(min(distScore + momScore, 100)) Classification: Strong ≥ 70, Medium ≥ 40, Weak < 40. Displayed in the dashboard and included in alert messages. This gives you a real-time confidence reading: a Strong reading means price is far from the band with confirming momentum — the trend is well-established. A Weak reading means price is near the band or momentum is fading — a flip may be imminent. 6️⃣ Filtered flip visualization. When "Show Filtered Flips" is enabled, a muted gray dot appears on the band at every point where a raw flip occurred but was blocked by a filter (momentum or volume). This is a transparency feature: instead of silently suppressing signals, the indicator shows you exactly where it intervened and what it filtered out. You can evaluate whether the filter saved you from a bad signal or delayed a good one. 7️⃣ Gradient fill between price and band. The space between close and the SuperTrend band is filled with a directional gradient: bullish trends fade from green (near band) to transparent (near price), bearish trends fade from red to transparent. The gradient uses fill() with top/bottom color mapping — the visual intensity naturally increases as the band is further from price, creating an intuitive "strength of trend" visual without needing to read the dashboard. ⚙️ HOW IT WORKS — CALCULATION FLOW Step 1 — ATR calculation: ta.atr(atrLength) with a high-low fallback for early bars where ATR is unavailable. Step 2 — Adaptive multiplier: If adaptive mode is on: multiplier = baseMultiplier × (ATR / SMA(ATR, adaptSmoothing)), clamped to . If off: multiplier = baseMultiplier (fixed). Step 3 — Band calculation: upperBand = hl2 + multiplier × ATR. lowerBand = hl2 − multiplier × ATR. Bands are calculated from hl2 (midpoint) for symmetry. Step 4 — Band ratcheting: In an uptrend, the lower band can only rise — it is set to max(current_lowerBand, previous_band). In a downtrend, the upper band can only fall — min(current_upperBand, previous_band). This ratcheting prevents the band from retreating during a trend, which would prematurely trigger a flip. Step 5 — Flip detection: In an uptrend: if close < band − cushion × ATR AND barsSinceFlip ≥ cooldown → raw bearish flip. In a downtrend: if close > band + cushion × ATR AND barsSinceFlip ≥ cooldown → raw bullish flip. On flip, the band resets to the opposite band value and barsSinceFlip resets to 0. Step 6 — Filter gate: If RSI momentum filter is on: bullish flip requires RSI ≥ threshold, bearish requires RSI ≤ (100 − threshold). If volume filter is on: volume must exceed SMA(volume, 20) × multiplier. Both must pass for the flip to become a confirmed signal. If either fails, the flip is recorded as "filtered" (visualizable) but the trend direction reverts — no signal is emitted. Step 7 — Signal emission: Confirmed flip + barstate.isconfirmed + warmup check → Buy (▲) or Sell (▼) label appears. Strength score is calculated and updated. 📖 HOW TO USE 🎯 Quick start: 1. Add the indicator — the adaptive SuperTrend band appears immediately 2. Green band = bullish trend, red band = bearish trend 3. ▲ label below bar = confirmed buy (trend flipped bullish through all filters) 4. ▼ label above bar = confirmed sell (trend flipped bearish) 5. Check dashboard for strength score — Strong trends are more reliable 👁️ Reading the chart: — 🟢 Green step-line = SuperTrend band in bullish mode (following lower band) — 🔴 Red step-line = SuperTrend band in bearish mode (following upper band) — 🟢 Large green dot on band = confirmed bullish flip — 🔴 Large red dot on band = confirmed bearish flip — ⚫ Gray dot on band (optional) = raw flip that was blocked by a filter — 🟩🟥 Gradient fill = visual trend strength (denser = further from band = stronger trend) — Background tint (optional) = overall trend direction shading 📊 Dashboard fields: — Trend: current direction (Bullish / Bearish) — Signal: last confirmed signal with bars elapsed — Strength: 0–100 score with classification (Strong / Medium / Weak) — Multiplier: current adaptive multiplier value (e.g., 2.83×) — RSI: current RSI reading — Timeframe and version 🔧 Tuning guide: — Too many whipsaws: increase Flip Cushion (0.2–0.3), increase Cooldown (4–6), enable Momentum Filter — Signals too late: decrease Flip Cushion (0.05–0.10), decrease Cooldown (1–2), lower Base Multiplier — Bands too wide in low-vol: decrease Min Adaptive Mult (0.8), decrease Adaptation Smoothing (30–40) — Bands too tight in high-vol: increase Max Adaptive Mult (5.0–6.0), increase Base Multiplier — Ranging/choppy market: enable Momentum Filter, increase Cooldown, increase Cushion — all three work together to suppress chop signals — Strong trending market: decrease Cushion (0.05), decrease Cooldown (1), disable Momentum Filter — let the indicator react faster to trend continuation ⚙️ KEY SETTINGS REFERENCE ⚙️ Main: — ATR Length (default 13): volatility measurement period — Base Multiplier (default 2.5): base ATR multiplier for band width — Adaptive Multiplier (default On): scale bands by current/average ATR ratio — Adaptation Smoothing (default 55): SMA lookback for ATR baseline 🔍 Filters: — Flip Cushion (default 0.15× ATR): extra distance beyond band required for flip — Signal Cooldown (default 3 bars): minimum gap between flips — Momentum Filter (default On): RSI confirmation for trend changes — RSI Length (default 13) / RSI Threshold (default 45): momentum filter parameters — Volume Filter (default Off): above-average volume confirmation 🔧 Advanced: — Min Adaptive Mult (default 1.0): floor for adaptive scaling — Max Adaptive Mult (default 5.0): ceiling for adaptive scaling 🎨 Visual: — Band line, gradient fill, filtered flip dots, trend background (all toggleable) — Auto / Dark / Light theme 🔔 Alerts — 🟢 BUY — ticker, price, band level, timeframe, strength score — 🔴 SELL — same fields Both support plain text and JSON webhook format. Bar-close confirmed, filter-gated, cooldown-enforced. ⚠️ IMPORTANT NOTES — 🚫 No repainting. All signals require barstate.isconfirmed. Band ratcheting is deterministic — the band value on a closed bar never changes retroactively. A warmup period (max of ATR length, adaptation smoothing, and 50 bars) prevents signals during insufficient data. — 📐 This is not a standard SuperTrend. The adaptive multiplier, flip cushion, cooldown, and momentum filter fundamentally change the signal generation logic. A classic SuperTrend flip would occur significantly earlier (or later, depending on volatility) than a StealthTrail flip — they are not interchangeable. — ⚖️ The flip cushion and cooldown work independently . Both must pass for a flip to occur. In chop, the cooldown may block a flip even after the cushion is satisfied, or the cushion may prevent a flip even after the cooldown expires. This dual-gate design is intentional. — 📊 Trend strength is a real-time reading , not a prediction. A strength of 85 means price is far from the band with confirming momentum right now — it does not predict how long the trend will continue. — 🔄 "Filtered Flips" (gray dots) show where a trend change would have occurred in a classic SuperTrend but was blocked by the momentum or volume filter. This transparency helps you understand the filter's impact and tune the threshold accordingly. — 📈 Volume filter auto-disables on instruments without volume data (many forex pairs). On these instruments, only the momentum filter, cushion, and cooldown provide noise reduction. — 🛠️ This is a trend-following signal tool , not an automated trading bot. It identifies trend direction, scores trend strength, and generates filtered signals — trade decisions remain yours. — 🌐 Works on all markets and timeframes. The adaptive multiplier self-calibrates to any instrument's volatility profile.
Pine Script® indicator
by WillyAlgoTrader
8
SmartTrend Pro [WillyAlgoTrader]📡 SmartTrend Pro is an overlay indicator built around a custom trend detection algorithm — the Adaptive Volatility Trend Engine (AVTE) — that replaces the standard Supertrend approach with Ehlers Super Smoother filtering and Kaufman adaptive ATR bands. Every trend flip is scored by a multi-factor confluence system (0–100) before becoming a signal. The result is a trend-following tool that adapts to current volatility conditions, filters out low-confidence entries, and provides dynamic TP/SL levels — all with full anti-repaint protection. 🧩 WHY THESE COMPONENTS WORK TOGETHER A traditional Supertrend uses a simple moving average of True Range to calculate bands. This works in steady markets but produces false signals during volatility spikes and misses early reversals during compression. SmartTrend Pro replaces every component of this pipeline with an adaptive alternative, creating a system where each stage feeds the next: Ehlers-filtered price → Kaufman-adaptive ATR → Volatility bands → Trend direction → Confluence scoring → Filtered signal → Risk levels The Ehlers Super Smoother removes high-frequency noise from the price before the trend bands are calculated — this prevents the trend engine from reacting to random wicks. The Kaufman adaptive ATR widens bands when volatility is real (sustained directional movement) and tightens them during choppy, low-efficiency conditions — making the trend change threshold automatically adjust. The confluence scoring system then evaluates each trend flip against five independent market factors before allowing the signal to fire. And the TP/SL system freezes its risk distance at entry (using the ATR at signal time) so targets don't drift as volatility changes post-entry. No single component here is sufficient on its own. An Ehlers filter without adaptive bands still produces false crossovers. Adaptive bands without scoring still trigger on weak trend flips. Scoring without frozen TP/SL creates drifting targets. The integrated pipeline solves all three problems simultaneously. 🔍 WHAT MAKES IT ORIGINAL 1️⃣ Adaptive Volatility Trend Engine (AVTE) — custom trend algorithm. The AVTE replaces the standard Supertrend calculation at every stage: Stage 1 — Price filtering: Instead of using raw price, the AVTE applies an Ehlers 2-pole Super Smoother to the source. The Ehlers filter uses the transfer function: ss = c1 × (src + src ) × 0.5 + c2 × ss + c3 × ss where c1 = 1 − c2 − c3, c2 = 2a × cos(√2 × π / period), c3 = −a², and a = exp(−√2 × π / period). This produces zero-lag frequency-domain filtering — it removes high-frequency noise without the phase distortion that a simple moving average introduces. The filter period is derived from the ATR period (ATR_period / 2, minimum 3). Stage 2 — Adaptive volatility measurement: Instead of a fixed-length ATR, the AVTE uses a Kaufman Adaptive ATR. First, a standard ATR(period) is calculated. Then the Kaufman Efficiency Ratio (ER) is computed: ER = |close − close | / sum(|close − close |, period). The ER measures how much net directional movement exists relative to total path traveled — ranging from 0 (pure chop) to 1 (clean trend). The ER then modulates a smoothing constant: sc = (ER × (fast − slow) + slow)², where fast = 2/3 and slow = 2/31. The adaptive ATR blends: aATR = aATR + sc × (rawATR − aATR ). In trending conditions (high ER), the adaptive ATR reacts quickly to volatility changes. In choppy conditions (low ER), it smooths aggressively, preventing false band expansions. Stage 3 — Band calculation and trend direction: Upper band = filtered_price + sensitivity × adaptive_ATR. Lower band = filtered_price − sensitivity × adaptive_ATR. Bands ratchet in the trend direction: the lower band can only rise (never fall) during uptrends, the upper band can only fall during downtrends. When close crosses above the upper band, trend flips bullish. When close crosses below the lower band, trend flips bearish. The trend line follows the lower band in uptrends, upper band in downtrends (step-line visualization). The Sensitivity parameter (default 2.5) controls how far the bands sit from filtered price. Lower = tighter bands, more signals, faster reaction. Higher = wider bands, fewer signals, smoother. 2️⃣ Multi-confluence scoring system (0–100). Every AVTE trend flip is evaluated against five independent market factors before becoming a signal: Factor 1 — EMA alignment (±15 pts): Checks whether close > EMA(50) > EMA(200) for bullish alignment, or close < EMA(50) < EMA(200) for bearish. Full alignment = +15 (bull) or −15 (bear). No alignment = 0. This confirms the trend flip aligns with the broader trend structure. Factor 2 — RSI position (±10 pts): RSI(14) between 50–70 = +10 (bullish momentum without overextension). RSI 30–50 = −10 (bearish). Extremes (>70 or <30) score 0 — avoiding signals at overbought/oversold levels where reversals are more likely. Factor 3 — MACD histogram direction (±12 pts): MACD(12,26,9) histogram > 0 and rising = +12 (accelerating bullish momentum). Histogram < 0 and falling = −12 (accelerating bearish). This captures momentum acceleration, not just direction. Factor 4 — Volume confirmation (0–8 pts): Volume > 20-period SMA × 1.2 = +8. This confirms institutional participation. Auto-disabled on instruments without volume data (forex). Factor 5 — ADX strength (0–10 pts): ADX(14) > 25 = +10, ADX > 20 = +5. Confirms the market is trending, not ranging. The base score starts at 50. Bullish factors add, bearish factors subtract. Final score is clamped to 0–100. A buy signal fires when the AVTE flips bullish AND score ≥ Min Signal Score (default 55). A sell signal fires when AVTE flips bearish AND score ≤ (100 − Min Signal Score), creating symmetric thresholds around 50. Signals with score ≥ 75 (buy) or ≤ 25 (sell) are classified as "Strong" and receive a distinct label. 3️⃣ Ehlers Super Smoother trend cloud. A dual-band cloud system using two Ehlers Super Smoothers at different periods. The fast period depends on the Cloud Style setting: — Adaptive: auto-adjusts between 13 and 55 based on current volatility — calculated as 34 × (1 + stdev(close, 20) / adaptive_ATR × 0.5) — Fast: fixed at 21 (tight cloud for scalping) — Smooth: fixed at 55 (wide cloud for swing) — Minimal: fixed at 34 (single line, no fill) The slow period = fast period × 2.618 (golden ratio). Cloud is bullish when fast > slow (green fill), bearish when fast < slow (red fill). The AVTE step-line is overlaid on the cloud for immediate trend-direction clarity. An optional trend tracer (EMA, default 233-period) provides institutional-level long-term bias. 4️⃣ Four-preset system with parameter scaling. Presets modify three core parameters simultaneously using multipliers: — Conservative : sensitivity × 1.4, ATR period × 1.3, min score floor 70 — fewer but higher-quality signals, for swing trading — Balanced : no modification — default parameters, good for 15M–4H — Aggressive : sensitivity × 0.7, ATR period × 0.8, min score ceiling 45 — more signals, faster entries — Scalping : sensitivity × 0.5, ATR period × 0.6, min score ceiling 40 — optimized for 1–5M, tightest bands Each preset adjusts the effective sensitivity, ATR length, and minimum score threshold proportionally, so one selection adapts the entire signal pipeline rather than requiring manual tuning of individual parameters. 5️⃣ Dynamic TP/SL with frozen risk distance. Three stop-loss modes: — ATR : SL distance = adaptive ATR × configurable multiplier (default 1.5×) — Percentage : SL distance = fixed percentage of entry price — Structure : SL distance = half the recent swing range (highest high − lowest low over swing lookback) TP levels are calculated as multiples of SL distance: TP1 = SL × 1.5 (default), TP2 = SL × 2.5, TP3 = SL × 4.0. The SL distance is frozen at entry — once a signal fires, the risk distance is locked and does not change with subsequent volatility. This prevents TP/SL levels from drifting as ATR changes post-entry. TP hit markers (×) appear on the chart as each level is reached. An optional Chandelier Exit trailing stop follows price using the ATR multiplier, ratcheting in the profit direction. 6️⃣ Pullback signals within established trends. In addition to trend-flip signals, the indicator detects pullback entries within an existing trend: — Bullish pullback: AVTE trend is bullish (no flip), price retraces to EMA(pullback_sensitivity × 3), RSI(pullback_sensitivity) drops below 35 then starts rising — catching the bounce off trend support — Bearish pullback: AVTE trend is bearish, price rallies to EMA, RSI exceeds 65 then starts falling Pullback signals appear as small circles (distinct from the main Buy/Sell labels), providing additional entries within a confirmed trend direction. They are bar-close confirmed and warmup-protected. 7️⃣ Volatility gauge with statistical normalization. The dashboard displays a real-time volatility reading (0–100%) calculated as: gauge = (ATR(10) − (SMA(ATR, 20) − StDev(ATR, 20))) / (2 × StDev(ATR, 20)) × 100, clamped to 0–100. This measures where current volatility sits relative to its recent statistical distribution: > 70% = High (above 1 standard deviation), 40–70% = Medium, < 40% = Low. This helps you assess whether the current environment suits your strategy: high volatility favors wider stops and fewer signals, low volatility favors tighter approaches. 8️⃣ Multi-timeframe trend panel (non-repainting). The dashboard includes an MTF panel showing trend direction on 5M, 15M, 1H, 4H, and 1D — using close > EMA(200) with lookahead_on for guaranteed non-repainting. When most timeframes align in one direction, trend-flip signals in that direction have higher confluence. 9️⃣ Session detection. The dashboard shows the current active trading session: Tokyo, London, New York, Sydney, or overlaps (London/New York, Tokyo/London). Sessions are calculated using UTC-based time windows. This helps you contextualize volatility: London/New York overlap is typically the highest-volume period, while off-hours have thinner liquidity. 🔟 Four optional filters. Each filter can be independently toggled: — Trend filter : only signals aligned with the Ehlers cloud direction — Volume filter : only signals with volume EMA(10) > EMA(25) — auto-disabled for instruments without volume — ADX filter : only signals when ADX > 20 (trending market) — Momentum filter : only signals with MACD histogram aligned (positive + rising for buys, negative + falling for sells) All filters default to Off — enabling them progressively reduces signal frequency while increasing average quality. ⚙️ HOW IT WORKS — CALCULATION FLOW Step 1 — Ehlers filtering: Source price is passed through the 2-pole Super Smoother with period = max(round(ATR_period / 2), 3). This removes intrabar noise while preserving trend structure. Step 2 — Adaptive ATR: Kaufman Efficiency Ratio is calculated over the ATR period. The ER modulates the smoothing speed of ATR: trending conditions → fast adaptation, choppy conditions → slow adaptation. Step 3 — Band construction: Upper = filtered_price + sensitivity × adaptive_ATR. Lower = filtered_price − sensitivity × adaptive_ATR. Bands ratchet: lower band can only rise in uptrends, upper band can only fall in downtrends. Step 4 — Trend detection: Close above upper band → bullish. Close below lower band → bearish. The trend line is the active band (lower in uptrends, upper in downtrends). Step 5 — Confluence scoring: On every bar, five factors are evaluated and combined into a 0–100 score. On a trend flip bar, the score determines whether the signal qualifies. Step 6 — Filter gate: If any enabled filter disagrees, the signal is suppressed. Step 7 — Signal emission: Buy or Sell label appears on the confirmed bar. Score ≥ 75 / ≤ 25 → "Strong Buy/Sell". Step 8 — TP/SL placement: Risk distance is calculated and frozen. TP1/TP2/TP3 are placed as R:R multiples. Labels persist on the right side of the chart. Hit markers appear as each level is reached. 📖 HOW TO USE 🎯 Quick start: 1. Select a preset matching your style: Scalping (1–5M), Balanced (15M–4H), Conservative (4H–1D) 2. Add the indicator to your chart — the AVTE trend line and cloud appear immediately 3. Wait for a Buy or Sell label — the score next to it tells you the confluence quality 4. Check the dashboard: trend direction, score, market state (trending/ranging), volatility, session 5. TP/SL levels appear automatically — manage the trade using the marked levels 👁️ Reading the chart: — 🟩 Green cloud fill = bullish trend (Ehlers fast > slow) — 🟥 Red cloud fill = bearish trend — Step-line on the cloud = AVTE trend boundary (the level that must break for a trend flip) — 🟢 "Buy" / "Strong Buy" label below bar = confirmed bullish signal — 🔴 "Sell" / "Strong Sell" label above bar = confirmed bearish signal — 🟢 Small circle below bar = pullback buy (trend continuation entry) — 🔴 Small circle above bar = pullback sell — Orange line = entry price | Red line = stop loss | Green lines = TP1/TP2/TP3 — × markers = TP hit confirmations — HH/HL/LH/LL labels (optional) = market structure swing points 📊 Dashboard fields: — Trend: current AVTE direction (Bullish/Bearish) — Signal: last confirmed signal (Buy/Sell/Wait) — Score: current confluence score (0–100) — Market: ADX-based state (Trending > 25 / Ranging > 20 / No Trend) — Volatility: statistical gauge (High/Medium/Low with percentage) — Session: current active session (Tokyo/London/New York/Sydney/overlaps) — MTF Panel: 5M/15M/1H/4H/1D trend direction (close vs 200 EMA) 🔧 Tuning guide: — Too many signals: increase Min Score, enable filters, switch to Conservative preset — Too few signals: decrease Min Score, switch to Aggressive/Scalping, lower Sensitivity — Signals too late: lower Sensitivity (tighter bands), use Fast cloud style — Too many false signals: enable ADX filter (filters ranging markets), increase Min Score to 65+ — Scalping 1–5M: use Scalping preset, ATR mode SL with multiplier 1.0–1.5, TP1 R:R 1.0–1.5 — Swing 4H–1D: use Conservative preset, ATR mode SL with multiplier 2.0–3.0, TP3 R:R 5.0+ ⚙️ KEY SETTINGS REFERENCE ⚙️ Main: — Trend Sensitivity (default 2.5): AVTE band distance — lower = more signals, higher = fewer — ATR Period (default 21): volatility measurement lookback — Preset (default Balanced): Conservative / Balanced / Aggressive / Scalping 📡 Signal Tuning: — Min Signal Score (default 55): minimum confluence to trigger signals — Strong Signals Only (default Off): only show score ≥ 75 — Show Pullback Signals (default On): trend continuation entries — Pullback Sensitivity (default 8): retracement detection lookback ☁️ Trend Cloud: — Cloud Style (default Adaptive): Adaptive / Fast / Smooth / Minimal — Trend Tracer (default Off): long-term EMA bias line (default 233) 🔍 Filters (all default Off): — Trend Filter (cloud alignment) / Volume Filter / ADX Filter / Momentum Filter 🛡️ Risk Management: — SL Mode (default ATR): ATR / Percentage / Structure — SL ATR Multiplier (default 1.5×) / SL Percentage (default 1.0%) — TP1/TP2/TP3 Risk:Reward (default 1.5 / 2.5 / 4.0) — Trailing Stop (default Off): Chandelier Exit method — Market Structure (default Off): HH/HL/LH/LL swing labels 🎨 Visual: — Auto / Dark / Light theme — Bar coloring: Trend Gradient / Signal Based / Momentum / None — Background trend shading (default Off) 📊 Dashboard: — Position, font size, MTF panel toggle 🔔 Alerts — 🟢 Buy / Strong Buy — ticker, price, timeframe, score — 🔴 Sell / Strong Sell — same fields — 🎯 TP1 / TP2 / TP3 Hit — ticker, price — 🛑 SL Hit — ticker, price — ☁️ Cloud Cross Bullish / Bearish — ticker, timeframe All alerts support plain text and JSON webhook format. Bar-close confirmed. ⚠️ IMPORTANT NOTES — 🚫 No repainting. All signals require barstate.isconfirmed. TP/SL distances are frozen at entry and do not change retroactively. MTF data uses + lookahead_on for non-repainting HTF values. A warmup period (minimum 200 bars or 3× ATR period) prevents signals during insufficient data. — 📐 The AVTE is not a standard Supertrend . It replaces every component: Ehlers Super Smoother instead of raw price, Kaufman adaptive ATR instead of fixed ATR, ratcheting bands instead of simple ±ATR. The mathematics are described in detail above. — ⚖️ The confluence score is not a win-rate predictor . A score of 75 means five independent market factors align strongly — it measures confluence quality, not outcome probability. Use it to prioritize, not to guarantee. — 📊 The scoring system uses standard indicators (EMA, RSI, MACD, Volume, ADX) as confluence factors , not as independent signal generators. None of these indicators alone triggers a signal — they only contribute to the score that gates an AVTE trend flip. — 🔧 Presets modify parameters proportionally. After selecting a preset, you can still adjust individual settings — the preset sets the starting point, your adjustments override it. — 📏 TP/SL levels are frozen at entry . The SL distance calculated at the signal bar persists until the next signal — it does not drift with changing ATR. This is by design for consistent risk management. — 🔄 Pullback signals are continuation entries , not reversal signals. They only appear within an established AVTE trend and require RSI reversion from oversold/overbought — catching bounces off trend support/resistance. — 🛠️ This is a signal and analysis tool , not an automated trading bot. It generates signals, scores them, and visualizes TP/SL — trade decisions remain yours. — 🌐 Works on all markets and timeframes. Volume filter auto-disables on instruments without volume data.
Pine Script® indicator
by WillyAlgoTrader
2
Adaptive MAD Supertrend | GForgeAdaptive MAD Supertrend | GForge The Adaptive MAD Supertrend is a trend-following indicator built on the classic Supertrend framework, but with two core innovations that address well-known weaknesses in the original design: how volatility is measured, and how the indicator behaves across different market conditions. The Problem With Standard Supertrend The classic Supertrend uses ATR (Average True Range) as its volatility measure and a fixed multiplier. ATR squares its deviation calculations internally, which means a single spike candle — a news wick, a liquidation cascade — can temporarily blow the bands wide and either trigger a false flip or delay a valid one. On top of that, a fixed multiplier means the indicator behaves identically in a clean trending market and a choppy ranging one. It has no awareness of what the market is actually doing. Innovation 1 — MAD Replaces ATR This indicator uses Mean Absolute Deviation as its volatility measure instead of ATR or Standard Deviation. MAD = mean( |close − mean(close, n)| , n ) The key difference is linearity. Each bar contributes its deviation to the average equally, without squaring. A spike candle influences the band width, but proportionally — it cannot disproportionately dominate the calculation the way it can in ATR or StdDev. The result is a more stable, consistent band width that responds to genuine volatility without overreacting to outlier bars. An optional EMA smoothing layer can be applied to the raw MAD output before it scales the bands, which further stabilizes band width during volatile periods. Innovation 2 — Kaufman Efficiency Ratio Scales the Multiplier The Efficiency Ratio (ER), developed by Perry Kaufman, measures how efficiently price is moving: ER = |net price change over n bars| / sum(|bar-to-bar changes|, n) ER → 1.0: price moved efficiently in one direction — a clean trend ER → 0.0: price moved a lot but went nowhere — chop and noise The adaptive multiplier uses ER to scale band width dynamically: adaptive_multiplier = Multiplier_Chop − ER × (Multiplier_Chop − Multiplier_Trend) During a clean trend, the multiplier contracts toward your Trend setting — bands tighten and the trailing stop follows price closely, capturing more of the move. During choppy conditions, the multiplier expands toward your Chop setting — bands widen and the stop absorbs noise without flipping unnecessarily. This means the indicator automatically adjusts its sensitivity to what the market is doing, rather than applying the same fixed behaviour to every bar. Basis MA The band centre line (basis) is fully configurable. Rather than raw hl2 like the classic Supertrend, any moving average from the menu can serve as the anchor — the band is built outward from it. The default is T3, a Tillson triple-smoothed MA that provides an extremely clean centre line with minimal lag overshoot. Other useful options include DEMA and TEMA for faster response, VWMA for volume-weighted anchoring, or RMA for higher timeframes. How to Read It Line colour: green/up colour = bullish trend, red/down colour = bearish trend Trend fill: shaded area between price and the trailing stop — visual confirmation of which side of the line price is on Inactive band: the faint dotted line on the opposite side shows where a flip would trigger if price reaches it Signal diamonds: markers at each trend flip — below bar for long entries, above bar for short/cash exits Notes Optimised and tested on Bitcoin 1D. Performs well on trending instruments across higher timeframes (4H and above). The MAD + ER combination is theoretically complementary: MAD handles what the band width is, ER handles how much of it to apply. They solve orthogonal problems. As with all trend-following tools, performance degrades in prolonged sideways markets — the Chop multiplier setting mitigates this but does not eliminate it. ⚠️ Disclaimer This indicator is a technical analysis tool provided for informational and educational purposes only. It is not financial advice, and nothing presented here should be construed as a recommendation to buy, sell, or hold any asset. Past performance does not guarantee future results. Developed by GForge
Pine Script® indicator
by GForge
Adaptive Volatility Trend [WillyAlgoTrader]Adaptive Volatility Trend (AVT) is a trend-following overlay indicator that dynamically adjusts its sensitivity to market conditions using the Kaufman Efficiency Ratio and ATR-based volatility bands. Unlike static moving averages or fixed-width channels, AVT continuously adapts: it accelerates in strong directional moves and slows down during choppy, range-bound price action — reducing whipsaws where most trend indicators fail. 🔍 WHAT MAKES IT ORIGINAL The core innovation is a self-tuning mechanism built on three adaptive layers: 1. Kaufman Efficiency Ratio (ER) as an adaptive engine. The ER measures how "efficient" price movement is — the ratio of net directional change to total path traveled over N bars. An ER near 1.0 means price moved in a clean straight line (strong trend); near 0.0 means it went sideways with lots of noise. AVT uses the smoothed ER to dynamically blend between a fast constant (2-period EMA speed) and a slow constant (30-period EMA speed), producing an Adaptive Moving Average that responds quickly in trends and becomes sluggish in chop. 2. ER-scaled ATR bands. The volatility channel doesn't just use raw ATR × multiplier. It incorporates the Efficiency Ratio to narrow the bands during trending conditions (where ER is high) and widen them during ranging markets (where ER is low). This means the channel contracts when the trend is clean — keeping signals tight — and expands when price is noisy — filtering out false breakouts. 3. Composite Signal Scoring System (0–100). Every signal receives a quality score based on three weighted components: — Trend strength (0–40 pts): derived from the Efficiency Ratio magnitude — Momentum (0–30 pts): RSI distance from the neutral 50-level in the signal direction — Volume confirmation (0–30 pts): current volume relative to its 20-period average Only signals exceeding the user-defined minimum score threshold are displayed — letting you filter out low-conviction setups. ⚙️ HOW IT WORKS Trend detection: The indicator calculates an Adaptive Moving Average using the Kaufman method. The slope of this line determines trend direction: if the line rises by more than 5% of current ATR, the trend is classified as bullish; if it falls by the same threshold, bearish. A small dead zone (ATR × 0.05) prevents noise from flipping the trend. Signal generation: A BUY signal fires when: — Trend flips from bearish/neutral to bullish (slope turns positive) — Price is above the adaptive line — RSI is not in overbought territory (if RSI filter is enabled) — Volume exceeds its moving average × threshold (if volume filter is enabled; auto-disabled on forex) — Composite score meets the minimum threshold — Bar is confirmed (close-based, no repainting) SELL signals use the mirror logic. Anti-repaint compliance: All signals require barstate.isconfirmed — they only trigger on the close of the bar and never change on historical data. A warmup period (minimum 50 bars or 2× Trend Length) prevents unreliable early signals. Volume filter on forex: The indicator automatically detects instruments with no volume data (common on forex pairs) and bypasses the volume filter for those symbols, so it works seamlessly across asset classes. 📖 HOW TO USE Reading the chart: — Green trend line + upward slope = bullish regime — Red trend line + downward slope = bearish regime — Yellow trend line = neutral / transitioning — ▲ labels below bars = confirmed BUY signal — ▼ labels above bars = confirmed SELL signal — The shaded channel around the trend line shows volatility-adjusted support/resistance zones Quick-start presets: — Conservative (Length 30 / ATR 20 / Mult 2.5): fewer signals, higher reliability — suited for swing trading on 4H–Daily — Default (Length 20 / ATR 14 / Mult 2.0): balanced for most timeframes — Aggressive (Length 12 / ATR 10 / Mult 1.5): more signals — suited for 15min–1H — Scalping (Length 8 / ATR 7 / Mult 1.2): fast response — optimized for 1–5min charts Signal quality: Use the Score value in the dashboard to gauge conviction: — 70–100: strong trend + momentum + volume alignment — 40–69: moderate setup, consider additional confluence — Below threshold: signal filtered out (not shown) Dashboard panel: Displays current trend direction, last signal with its score, Efficiency Ratio %, RSI value, timeframe, and indicator version. Position is adjustable to any corner of the chart. Alerts & automation: Supports both standard TradingView alert messages and JSON webhook format for integration with 3Commas, Alertatron, or custom bots. Alert messages include ticker, price, timeframe, and signal score. ⚙️ KEY SETTINGS REFERENCE — Trend Length (default 21): lookback for adaptive MA — higher = smoother, lower = faster — ATR Length (default 14): period for volatility bands — higher = wider bands — Band Multiplier (default 2.0): ATR multiplier for channel width — higher = fewer false signals — RSI Filter (on by default): blocks buy signals when RSI > 70, sell signals when RSI < 30 — Volume Filter (on by default): requires volume > SMA(20) × 1.2 — auto-disabled on forex — Min Signal Score (default 40): minimum composite score for signal display — Efficiency Smoothing (default 5): EMA smoothing of the Kaufman ER ⚠️ IMPORTANT NOTES — This indicator does not use future data. No lookahead, no repainting. — Past performance shown on any chart does not guarantee future results. — AVT is a tool for identifying trend direction and generating signal candidates — it is not a complete trading system. Always use proper risk management and consider additional confluence before entering trades. — The indicator works best in trending markets. In prolonged sideways conditions, even filtered signals may produce whipsaws — the Efficiency Ratio in the dashboard helps you assess whether the current market is trending enough for signal reliability.
Pine Script® indicator
by WillyAlgoTrader
2
Advanced Engine: RVOL and Price ActionThis is an Enhanced version of SuperTrend and Volume Oscillator, utilising the Relative Volume and ZScore to give precise signals. This works well with Indicies and most stocks. Chose Chart TF as 10 mins 1. System Overview The v6.12 Engine is a dual-timeframe algorithmic system. It utilizes the Chart Timeframe (CTF) to establish macro trend, mean-reversion boundaries, and structural momentum. Simultaneously, it runs a background 1-Minute Timeframe (1m TF) engine to analyze absolute volume expansion and micro-order flow delta. The system features dynamic toggles allowing it to act as a strict trend-follower, a VWAP mean-reversion scalper, or a high-velocity volume breakout catcher. 2. Core Mathematical Components A. Chart Timeframe (CTF) Indicators SuperTrend (Macro Bias): ATR-based trailing envelope. (ATR: 10, Multiplier: 3.0). Toggle:Ignore SuperTrend forces the internal state to true to allow pure VWAP mean-reversion trades. VWAP (Intraday Baseline): Session-anchored Volume Weighted Average Price based on Typical Price (hlc3). Volume Oscillator (Structural Momentum): Measures acceleration of trading volume. VolOsc = 100 \times \frac{EMA(Volume, 5) - EMA(Volume, 10)}{EMA(Volume, 10)} Requirement: Must be rising/falling over 2 consecutive bars. Stochastic RSI (Price Velocity): Averaged %K and %D lines. Requirement: Must be rising/falling over 2 consecutive bars, unless "Stuck" at extremities (< 1 or > 99). B.1-Minute (1m TF) Indicators Calculated independently of the chart timeframe using exact 1-minute tick data. Relative Volume (RVOL): Compares the current 1m volume against the historical average volume for that exact same minute over the last N days (Default: 10 days). Trigger (isHighRVOL): RVOL > 1.5. Smoothed Delta Z-Score: Calculates the difference between buying volume and selling volume within the 1-minute candle, normalizes it into a Z-Score, and applies a 3-period Simple Moving Average. Trigger (isZBull): Smoothed Z-Score is rising AND 1m Price is Bullish (Close > Open). Trigger (isZBear): Smoothed Z-Score is rising AND 1m Price is Bearish (Close < Open). 3. Strict Entry Criteria The engine evaluates signals via logical OR gates between sub-routines. If any of the following sub-routines return true, a trade is executed. A. Long (BUY) Triggers All Long entries strictly require the execution candle to be Green (Close > Open). If the 1m Sniper Filter is enabled, all Standard, Stuck, and Override entries must also have a Bullish 1m Z-Score (isZBull). Standard Buy: SuperTrend Green + Price > VWAP + VolOsc Rising + StochRSI Rising. Stuck Buy: StochRSI < 1 (bypassing slope) + SuperTrend Green + Price > VWAP + VolOsc Rising. Oversold Override Buy: StochRSI < 20 + StochRSI Rising + VolOsc Rising + Price > VWAP (Overrides Red SuperTrend). RVOL Breakout (If Enabled): Price > VWAP + SuperTrend Green + isHighRVOL + isZBull (Bypasses CTF VolOsc and StochRSI). B. Short (SELL) Triggers All Short entries strictly require the execution candle to be Red (Close < Open). If the 1m Sniper Filter is enabled, all Standard, Stuck, and Override entries must also have a Bearish 1m Z-Score (isZBear). Standard Sell: SuperTrend Red + Price < VWAP + VolOsc Falling + StochRSI Falling. Stuck Sell: StochRSI > 99 (bypassing slope) + SuperTrend Red + Price < VWAP + VolOsc Falling. Overbought Override Sell: StochRSI > 80 + StochRSI Falling + VolOsc Falling + Price < VWAP (Overrides Green SuperTrend). RVOL Breakout (If Enabled): Price < VWAP + SuperTrend Red + isHighRVOL + isZBear (Bypasses CTF VolOsc and StochRSI). 4. Strict Exit Criteria The engine manages risk and flattens positions based on the following autonomous triggers: Stop-and-Reverse (Standard): If an opposing valid entry signal fires while a position is open, the engine simultaneously calculates realized PnL, flips the state directly to the opposite direction, and updates the entry price. VWAP Early Exit (If Enabled): Exits a trade prior to a full momentum reversal if the entire body of the candle closes across the VWAP line against the trade direction. Long Exit: max(open, close) < VWAP Short Exit: min(open, close) > VWAP 1m Micro-Divergence Exit (If Enabled): Exits a trade immediately if micro-order flow violently shifts against the position, regardless of the chart timeframe structure. Long Exit: isHighRVOL AND isZBear. Short Exit: isHighRVOL AND isZBull. Cutoff Exit (Smart No-Entry): If a standard reversal signal fires after the No Entry Hour (Default: 14:45), the engine uses it to EXIT the current trade but strictly blocks the new entry leg. EOD Square-Off (If Enabled): Hard flattens any remaining open positions at the exact close of the designated EOD candle (Default: 15:10) to secure intraday margins. 5. System Accounting & Webhook Outputs Continuous Open PnL: The tradeState (-1, 0, 1) and entryPrice lock on execution. If swing trading (EOD Close disabled), floating PnL carries over across sessions. Daily Realized PnL: Hard-resets to 0.0 at the first bar of a new calendar day. The previous day's total realized points are stamped to the Pine Logs. Webhook Payload: The system fires strictly validated JSON strings to the configured endpoint at alert.freq_once_per_bar_close: {"action": "BUY", "ticker": "...", "price": 0.00, "exchange": "..."} {"action": "SELL", "ticker": "...", "price": 0.00, "exchange": "..."} {"action": "EXIT", "ticker": "...", "price": 0.00, "exchange": "..."} {"action": "SQUARE_OFF", "ticker": "...", "price": 0.00, "exchange": "..."}
Pine Script® indicator
by razcads
Trend Freeway MTF | ProjectSyndicateTrend Freeway MTF provides a complete multi-timeframe market overview in a single, clean panel. It visualizes trend and momentum confluence across 5 user-defined timeframes by simultaneously tracking Supertrend, RSI, and MACD status. This eliminates the need to switch between charts, providing an instant, high-conviction view of whether the market is aligned for a strong move or is consolidating with conflicting signals. • 🚦 15-Lane Confluence Panel — each of the 5 timeframe groups is split into 3 sub-lanes SUPER, RSI, MACD, giving you a 15-point real-time market audit. • 🧠 Triple-Indicator Logic — cross-validates a trend-following indicator Supertrend, a momentum oscillator RSI, and a trend/momentum hybrid MACD for robust signal filtering. • 🔭 Full Multi-Timeframe Support — instantly see the bigger picture by monitoring 5 timeframes at once defaults: M5, M15, M30, H1, H4, all fully configurable to any TF. • 📊 Master Trend Signal Header — a dynamic header at the top of the panel scores all 15 lanes and displays the master signal BUY, STRONG BUY, SUPER STRONG BUY with a color-coded background for an immediate, top-down market bias reading. • 🎨 Clear Visual Hierarchy — uses a distinct, high-contrast color scheme dark teal for bull, dark crimson for bear, near-black for neutral so you can assess market alignment in a fraction of a second. • 🔔 Comprehensive Alerts — get notified when a specific signal strength is reached e.g., STRONG BUY or when all 15 lanes achieve full bullish or bearish confluence, ensuring you never miss a major market shift. • ✅ RSI Neutral Zone Filter — the RSI lane turns a neutral color when momentum is weak between 40-60 by default, effectively filtering out choppy, low-probability conditions. • 🔧 Fully Customizable — control everything from the 5 timeframes and all indicator settings ATR, RSI, MACD to the colors, lane widths, and table position. • 🎯 Why this algo is unique: Standard indicators only give you one piece of the puzzle on a single timeframe. This algorithm forces three independent concepts—trend, momentum, and relative strength—to agree across five separate timeframes. It doesn't just show you a signal; it shows you the quality of the signal. When all 15 lanes light up with the same color, you are looking at institutional-grade trend alignment. When colors are mixed, it instantly warns you to stay out. • 🚀 Apply to Gold (XAUUSD), Forex (EURUSD, GBPJPY), Crypto (BTCUSD, ETHUSD), and Indices (NASDAQ/NQ, S&P500/ES) on any timeframe. The fully configurable indicator settings allow it to adapt to anything from scalping to swing trading. • 🎯 How to use this? Focus on trading opportunities when you see full alignment all 3 sub-lanes are the same color on your primary trading timeframe. For the highest-probability setups, wait for the Master Trend Signal to show STRONG or SUPER STRONG status, indicating that the majority of all 15 lanes are in agreement. Use moments of conflicting colors as a clear signal to stay out of the market and avoid chop. • ⚠️ IMPORTANT NOTICE: This indicator is a powerful decision-support tool designed to provide a high-level overview of market confluence. It should NOT be used as a standalone signal for entering or exiting trades. Always use it in conjunction with your own trading strategy, price action analysis, and proper risk management to confirm trade setups.
Pine Script® indicator
by ProjectSyndicate
2
True Baseline Median SuperTrendTrue Baseline Median SuperTrend (TBM SuperTrend) | MisinkoMaster True Baseline Median SuperTrend is a volatility-adaptive trend indicator designed to refine traditional SuperTrend logic by introducing a volatility-filtered baseline and median-based smoothing techniques. Instead of relying on a fixed midpoint calculation, TBM SuperTrend dynamically constructs its baseline from structurally significant price observations, then applies layered median smoothing to reduce noise while preserving trend integrity. The result is a cleaner, more stable trend-following tool that reacts to meaningful shifts in volatility and directional pressure without excessive whipsaws. Core Philosophy Most SuperTrend-style indicators anchor their bands to a simple price midpoint and apply an ATR-based offset. While effective, this approach can be overly sensitive during volatile consolidations. TBM SuperTrend improves this structure by: • Building a volatility-qualified baseline • Filtering insignificant price movements • Applying median smoothing instead of simple averaging • Retaining ATR-based adaptive band distance This creates a trend structure that prioritizes meaningful price expansion over random noise. Key Features Volatility-qualified baseline construction Median-smoothed upper and lower bands ATR-based adaptive volatility envelope Dynamic trend state detection Automatic candle coloring Clear long and short transition labels Reduced whipsaw behavior compared to standard SuperTrend Works across intraday and higher timeframes Designed for trend continuation and breakout frameworks How It Works (Conceptual) The indicator operates in three structural layers: Volatility Measurement Market volatility is assessed using an ATR-based structure. Baseline Construction Instead of averaging all recent prices, the script filters price samples based on volatility conditions. Only structurally relevant bars contribute to the baseline calculation. This ensures that the baseline reflects meaningful movement rather than passive drift. Median Smoothing Both the volatility-adjusted bands and the baseline structure undergo median smoothing. Median smoothing is less sensitive to outliers than standard averaging, which helps stabilize the trend line during erratic price spikes. After the adaptive bands are constructed, price interaction with those bands determines directional bias: • Price closing above the upper threshold confirms bullish trend state • Price closing below the lower threshold confirms bearish trend state Internal implementation details remain proprietary in the protected version. Trend Logic Explained Bullish State When price maintains strength above the adaptive upper boundary, the indicator confirms a long bias. The trailing structure shifts beneath price, acting as dynamic support. Bearish State When price closes below the adaptive lower boundary, the indicator confirms a short bias. The trailing structure shifts above price, acting as dynamic resistance. State transitions occur only when decisive boundary breaks happen, helping reduce false flips. Visual Components Trend Lines Only the active directional band is displayed, reducing clutter and emphasizing current bias. Shaded Volatility Zone A filled region between price and the active band visually highlights trend dominance. Long / Short Labels Clear on-chart labels mark confirmed trend transitions. Candle Coloring Price candles automatically reflect current trend state for immediate visual recognition. Inputs Overview Source Defines the price series used for baseline construction. ATR Length Controls the volatility lookback period. True Baseline Length Determines the window used for constructing the volatility-qualified baseline. Factor Adjusts the volatility multiplier that expands or contracts the adaptive bands. Median Period Controls the median smoothing strength applied to the bands. Lower values increase responsiveness. Higher values improve stability and reduce noise. Why Median Smoothing Matters Traditional smoothing methods (like EMA or SMA) can be distorted by sharp price spikes. Median-based smoothing reduces the impact of extreme values, making TBM SuperTrend particularly effective in: • Crypto markets • High-volatility equities • News-driven instruments • Lower timeframe trading This improves structural consistency during sudden volatility expansions. Best Use Cases Trend-following systems Breakout confirmation Pullback entries within established trends Trailing stop framework Directional bias filtering Volatility-adaptive strategy design Parameter Tuning Guidance Shorter ATR Length → Faster adaptation → More sensitivity → Suitable for intraday trading Longer ATR Length → Smoother volatility structure → Better for swing trading Higher Factor → Wider bands → Fewer signals → Stronger trend confirmation Lower Factor → Tighter bands → Earlier entries → More reversals Longer Median Period → Smoother band structure → Reduced whipsaws Shorter Median Period → Faster reaction → More sensitivity to shifts Practical Strategy Integration Use TBM SuperTrend as: • Primary directional filter • Trailing stop mechanism • Confirmation layer for breakout systems • Bias alignment tool across multiple timeframes It performs best when combined with momentum confirmation or volume expansion tools. Summary True Baseline Median SuperTrend enhances traditional SuperTrend logic by introducing volatility-qualified baseline construction and median smoothing for structural stability. The result is a cleaner, more adaptive trend tool that prioritizes meaningful price movement while minimizing noise. It is well suited for traders seeking a disciplined, volatility-aware trend framework that remains robust across changing market conditions.
Pine Script® indicator
by MisinkoMaster
11
SuperTrend AI Adaptive - Strategy [BTC]+2,091% returns. 1.94 profit factor. 28% max drawdown. Buy and hold returned ~785% over the same period with 75%+ drawdowns. This strategy returned 2,091% with less than a third of the drawdown. Consistent upward equity curve through bull markets, bear markets, and sideways chop. This is the strategy version of SuperTrend AI . Same regime-adaptive engine, same AI scoring, now with full entries, exits, and risk management built in. ◈ How It Works The strategy detects market regime shifts (trending, volatile, ranging) and adapts the SuperTrend multiplier automatically. Every trend flip is scored 0-100 by a 5-factor AI engine. Only high-scoring flips become trade entries. The 5 scoring factors: Volume Surge: was there conviction behind the flip? Displacement: how far did price break through the band? Trend Alignment: does the EMA agree with the direction? Regime Quality: trending regimes score highest, ranging get penalized Band Distance: how far did price travel to reach the flip point? Low-scoring flips are skipped entirely. This is the main edge. Standard SuperTrend enters on every flip. This strategy is selective. ◈ Regime Adaptation TRENDING regime: multiplier stays at base. Normal conditions, normal entries. VOLATILE regime: multiplier widens automatically. Prevents noise-driven entries. Band turns amber on chart. RANGING regime: multiplier tightens slightly. Entries are blocked by default because SuperTrend gets chopped in ranges. The regime filter alone eliminates most of the losing trades that kill standard SuperTrend strategies. ◈ Risk Management Three stop loss modes: ATR-based (default): dynamic stop that adjusts to current volatility Percent: fixed percentage stop SuperTrend: exit only on trend flip Take profit modes: Risk:Reward ratio (default 2.5:1): TP based on SL distance Percent: fixed percentage target None: hold until stop or flip Optional trailing stop for locking in profits on extended trends. All parameters are adjustable. ◈ Why It Beats Buy and Hold Buy and hold works in hindsight. In real time, you sit through 50-75% drawdowns hoping for recovery. This strategy: Shorts during bear markets instead of bleeding. The 2022 and early 2026 bear legs were profitable, not just survivable. Stays flat during ranging markets. No entries when conditions are bad. Compounds gains from both directions. Longs in uptrends, shorts in downtrends. The equity curve tells the story. Consistent staircase up with controlled pullbacks vs the rollercoaster of buy and hold. ◈ Default Settings (optimized for BTCUSDT 4H) SuperTrend: ATR 10, Base Multiplier 3.0 Regime: Lookback 40, ADX 14, Threshold 20 AI Engine: Trend EMA 50, Volume MA 20, Min Score 65 Risk: SL Mode ATR, SL ATR Mult 6.0, TP Mode RR 2.5:1 Filters: EMA Trend Filter on, Skip Ranging on, Volume Filter on, Cooldown 5 Position: 80% of equity per trade Commission: 0.06% (Binance futures level), 2 ticks slippage ◈ Adapting to Other Assets These defaults are tuned for BTCUSDT 4H. For other assets, adjust: Other crypto (ETH, SOL) 4H: Same settings, may need Min Score 60 Forex 1H to 4H: Lower position size to 20-30%, tighten SL to 2.5-3.0 ATR, trend following works less well on forex Indices 1H: SL ATR 3.0-4.0, position size 30-50% SuperTrend strategies work best on assets that trend. Crypto on higher timeframes trends the hardest. ◈ Backtest Notes Period: Jan 2015 to Feb 2026 (10+ years, includes multiple bull and bear cycles) Initial capital: $10,000 USDT Commission: 0.06% per trade (realistic for Binance futures) Slippage: 2 ticks Position sizing: 80% of equity (compounding) No pyramiding. One position at a time. Signals are non-repainting. Entries on confirmed bar close only. Returns are compounded. The 2,091% figure reflects reinvesting profits at 80% equity per trade. Without compounding, the raw edge is captured by the profit factor (1.94) and win rate (46% at 2.5:1 RR). ◈ Key Metrics Total P&L: +2,091% Profit Factor: 1.94 Win Rate: 46.10% (71 of 154 trades) Max Drawdown: 28.16% Average trade count: roughly 15 per year ◈ Features ✓ Regime-adaptive SuperTrend with automatic multiplier adjustment ✓ AI signal scoring filters out low-quality trend flips ✓ Three SL modes (ATR, Percent, SuperTrend flip) ✓ Three TP modes (Risk:Reward, Percent, None) ✓ Optional trailing stop ✓ EMA trend filter, regime filter, volume filter ✓ Realistic commission and slippage included ✓ Dashboard showing trend, regime, position status, and signal score ✓ Non-repainting entries on confirmed bar close ✓ 100% original code ◈ Companion Indicator This strategy is built on the SuperTrend AI indicator. Use the indicator for live chart analysis and the strategy for backtesting and validation. Both available free on my profile. ◈ Disclaimer Past backtest performance does not guarantee future results. All backtests have inherent limitations including look-ahead bias in parameter selection. These settings were optimized on the full sample period. Always forward-test before risking real capital. Use proper position sizing and risk management. This is not financial advice. Happy trading.
Pine Script® strategy
by DefinedEdge
6
Delta Strike: Order Flow Absorption & Momentum Confirmation**Delta Strike** is a professional-grade quantitative tool designed for traders who prioritize institutional logic over simple price action. It moves beyond traditional "buy/sell" indicators by dissecting the battle between **Passive Absorption** and **Aggressive Initiative** using underlying Order Flow data. ### 🛡️ The Core Philosophy: "Wait for the Trap, Trade the Escape" Markets rarely reverse instantly. **Delta Strike** follows a rigorous two-step verification process to filter out noise and hunt for high-probability institutional footprints: 1. **Phase 1: Institutional Absorption (Left-Side Setup)** The system identifies "Base Bars" where high volume and extreme Delta (passive buying/selling) occur, but price fails to continue. This indicates that a large player is absorbing the current move. 2. **Phase 2: Aggressive Strike (Right-Side Confirmation)** We do not "catch the knife." Instead, the indicator monitors the next **N bars** for a confirmed strike. A signal is only triggered when price engulfs the base bar and is backed by a significant **Active Delta Percentage**, proving that the "absorber" has now become the "aggressor." ### 🚀 Key Technical Features * **Dual-Cycle Volume Matrix**: Unlike standard indicators, Delta Strike analyzes volume across two lookback periods simultaneously (Short-term 20 & Long-term 50). It classifies setups into three categories: * 🔥 **Dual-Cycle Convergence** (Maximum Strength) * ⚡ **Short-term Spike** (Local Volatility) * 🌊 **Macro Volume Surge** (Long-term Accumulation) * **Active Delta Intensity Filter**: Every confirmation bar is evaluated for its "Net Win Ratio." By filtering out low-conviction, low-volume breakouts, it ensures you only follow moves with real institutional backing. * **RSI Environment Guard**: Integrated RSI logic ensures that bottom absorption is only hunted in "Oversold" zones and top absorption in "Overbought" zones, significantly reducing whipsaws in sideways markets. * **Validated SuperTrend (Delta-Sync)**: A modified SuperTrend algorithm that requires a "Delta Handshake." A trend flip is only considered valid if price and Delta move in the same direction, preventing "fake-outs" during low-liquidity periods. ### 📊 Clean & Actionable UI * **Base Bar Highlight**: When a setup is confirmed, the script retroactively draws a **Yellow (Bullish)** or **Fuchsia (Bearish)** box around the original absorption bar. * **Trace Lines**: Dashed lines connect the original institutional entry to your current entry point, providing immediate visual context for the trade's logic. * **Momentum Rating (🐂/🐻)**: * **3 Stars (🐂🐂🐂)**: Extreme Delta Strike (>20% Net Win). * **2 Stars (🐂🐂)**: High Conviction Strike (>10% Net Win). * **1 Star (🐂)**: Standard Confirmation. ### 🔔 Smart Alert System Equipped with a fully customizable alert suite. You can set alerts for: * **Absorption Confirmations** (Long/Short) * **Validated SuperTrend Breakouts** *Note: For the most accurate results, it is recommended to use "Any alert() function call" and set frequency to "Once Per Bar Close" to avoid repainting during intra-bar fluctuations.* --- ### How to use: 1. Look for the ** ** label and highlighted box. 2. Wait for the **Strike icons (🐂/🐻)** to appear within the N-bar window. 3. Combine with your existing Support/Resistance levels for optimal strike rates. ---
Pine Script® indicator
by mazmez
2
SuperTrend AI AdaptiveSuperTrend AI detects market regime shifts and adapts the band width automatically, then scores every trend flip with a 5-factor quality engine so you know which signals to trust. ◈ How It Works Standard SuperTrend has one fixed multiplier. It works great in trending markets but gets chopped apart in ranging conditions. This version solves that by detecting the current market regime and adapting in real time. The indicator classifies every bar into one of three regimes: TRENDING: ADX above threshold + normal ATR. Multiplier stays at base. SuperTrend works as intended. RANGING: ADX below threshold + compressed ATR. Multiplier tightens slightly for faster response. Band draws as a dotted line to warn you. VOLATILE: ATR expanding well above its historical average. Multiplier widens to absorb the noise and prevent false flips. The regime is determined by two factors: the ATR ratio (current ATR vs its moving average over the lookback period) and the ADX reading. This gives you a structural view of market conditions, not just price direction. ◈ Adaptive Multiplier When adaptation is enabled, the multiplier adjusts dynamically: In volatile regimes, the multiplier increases proportionally to how expanded the ATR is. This widens the band and filters out noise-driven flips. In ranging regimes, the multiplier drops to 85% of base. Tighter bands let you catch the transition when a real trend starts. In trending regimes, the multiplier stays at base. No adjustment needed when conditions are ideal. The multiplier is capped between 0.5x and 2x of your base setting so it never goes extreme. You can see the current adaptive multiplier in the dashboard at all times. ◈ AI Signal Scoring Every SuperTrend flip gets a quality score from 0 to 100 based on 5 factors: Volume Surge (0-20 pts): Volume on the flip bar vs 20-period average. Higher volume = more conviction behind the move. Displacement (0-25 pts): How far price closed beyond the band on the flip. Bigger displacement = stronger breakout. Trend Alignment (0-20 pts): Does the flip direction match the EMA trend? Aligned signals score higher. Regime Quality (0-15 pts): Signals in trending regimes score highest. Ranging regime signals get penalized. Band Distance (0-20 pts): How far price traveled to reach the band before flipping. Wider gap = more conviction. Bright signals (★) score above 70 and represent high-quality flips with multiple factors confirming. Dim signals (○) score 40-69 and are worth watching but carry more risk. By default only bright signals display. ◈ Visual System The band uses a neon glow effect (three layered plots) that makes it easy to track on any chart. The band color itself tells you the current regime at a glance: Green/red glow = trending regime, normal SuperTrend behavior. Amber glow = volatile regime, multiplier has widened to absorb noise. Gray dotted line = ranging regime, multiplier tightened, use caution. A subtle background tint appears during volatile (amber) and ranging (gray) periods so you can see regime context without looking at the dashboard. Both the glow and background tint can be toggled off in settings. The gradient fill between price and band is available but off by default. Enable it in settings if you prefer that style. ◈ How to Read the Dashboard ST AI ◈: header Trend: current SuperTrend direction (▲ BULLISH / ▼ BEARISH) with bias label Regime: current market classification (TRENDING / VOLATILE / RANGING) with ATR ratio EMA: whether the trend EMA agrees with SuperTrend direction (✓ ALIGNED / ✗ COUNTER) Multiplier: current adaptive value vs your base setting ADX: trend strength reading with visual bar Signal: last signal state with score in points ◈ Recommended Settings Forex (EUR/USD, GBP/JPY) 1H to 4H: ATR 10, Multiplier 3.0, Regime Lookback 40, ADX 14 Crypto (BTC, ETH) 1H to 4H: ATR 10, Multiplier 3.0, Regime Lookback 50, ADX 14 Scalping 5min to 15min: ATR 7, Multiplier 2.0, Regime Lookback 30, ADX 10 Swing trading Daily: ATR 14, Multiplier 3.5, Regime Lookback 50, ADX 14 Indices (NAS100, SPX500) 15min to 1H: ATR 10, Multiplier 2.5, Regime Lookback 40, ADX 14 For fewer signals: Raise Min Signal Score to 60+, increase cooldown For more signals: Lower Min Signal Score to 30, enable dim signals, reduce cooldown ◈ Key Features ✓ Non-repainting: all signals on confirmed bar close ✓ Regime-adaptive: multiplier adjusts to trending, ranging, and volatile conditions automatically ✓ AI signal scoring: 5-factor quality engine, 0-100 per flip ✓ Neon glow band: color shifts with regime state, visible at a glance ✓ Regime background: subtle tint shows volatile and ranging periods on the chart ✓ ADX integration: trend strength directly influences regime detection and scoring ✓ 7 alert conditions: bull/bear signals, AI-confirmed signals, trend flips, regime changes ✓ Clean dashboard: trend, regime, multiplier, ADX, and signal score in one panel ✓ 100% original code: not derived from any existing script ◈ What Makes This Different Standard SuperTrend uses a fixed multiplier. It works until the market changes character, then gives false flips until you manually adjust. This version detects the change and adjusts for you. The scoring tells you not just that a flip happened, but whether it is likely to be meaningful. A flip during a trending regime with high volume and strong displacement scores 85+. The same flip during a ranging regime with weak volume might score 45. Both are flips, but only one is worth trading. ◈ Disclaimer No indicator predicts the future. Regime detection is probabilistic, not certain. Use proper risk management and combine with your own analysis. Past performance does not guarantee future results. Happy trading.
Pine Script® indicator
by DefinedEdge
3
Evasive SuperTrend [LuxAlgo]The Evasive SuperTrend indicator provides a modernized approach to trend following by implementing a unique "evasive" logic designed to reduce premature trend flips during periods of high market noise and consolidation. Unlike the traditional SuperTrend which can only move closer to the price (or stay flat), this tool identifies when price action gets too close to the volatility band and "evades" the price by pushing the band further away, effectively giving the current trend more breathing room. 🔶 USAGE The indicator can be used similarly to a standard SuperTrend to identify trend direction and potential trailing stop levels, but with added intelligence regarding market noise. 🔹 Identifying Trend and Noise Solid Line: Indicates a standard trend phase where the price is maintaining a healthy distance from the volatility band. Dotted Line: Indicates the "Evasive" mode is active. This occurs when price action enters a "Noise Zone," causing the indicator to proactively push the band away to prevent a false breakout. Gradient Fill: The background fill provides a visual heat map of the trend strength relative to the source price, with higher transparency indicating proximity to a potential trend flip. 🔹 Trading Signals Users can look for "BULL" and "BEAR" labels which mark the points where price successfully penetrates the evasive band. Because the band actively retreats during noise, a trend flip often carries more significance as it requires price to overcome an adaptive volatility threshold. 🔶 DETAILS The core innovation of this script is the "Noise Avoidance Logic." Standard SuperTrends are strictly monotonic (they only move up in a bull trend and down in a bear trend). This often leads to "whipsaws" where a minor price spike touches the band and flips the trend unnecessarily. The Evasive SuperTrend calculates a Noise Threshold . If the distance between the price and the band is less than this threshold (calculated in ATR units), the band is pushed back by a specified Expansion Alpha . This allows the trend to persist through choppy sideways movement that would otherwise trigger a reversal. 🔶 SETTINGS 🔹 Supertrend Settings ATR Length: Determines the lookback period for the Average True Range calculation used to set the band distance. Base Multiplier: Sets the initial distance of the band from the price. Higher values result in fewer, longer-term trend signals. 🔹 Noise Avoidance Logic Noise Threshold (xATR): Defines the "danger zone" around the band. If price enters this ATR-based range, the band begins to evade. Expansion Alpha (xATR): The distance the band moves away from the price when noise is detected. Higher values make the indicator more "stubborn" against trend changes. 🔹 Visualization Show Signal Labels: Toggles the visibility of the BULL and BEAR trend change labels. Show Gradient Fills: Toggles the dynamic background coloring between the price and the band.
Pine Script® indicator
by LuxAlgo
5
SuperTrend Recovery [LuxAlgo]The SuperTrend Recovery indicator provides a modified version of the classic SuperTrend algorithm that incorporates a dynamic "recovery" mechanism designed to adjust the trailing stop when price action moves significantly against the current trend. This script aims to help traders manage volatile environments by tightening the trend band when the market experiences deep pullbacks without triggering a full trend reversal. 🔶 USAGE The indicator can be used similarly to a standard SuperTrend to identify market direction and potential trailing stop-loss levels. However, the unique recovery logic allows for a more adaptive response to price deviations. 🔹 Trend Detection When the price is above the band, the indicator signals a BULL trend. When the price is below the band, the indicator signals a BEAR trend. Trend switches are marked with "BULL" or "BEAR" labels and a colored circle at the switch point. 🔹 Recovery Mechanism In a standard SuperTrend, the band stays flat if price moves against the trend (but doesn't break it). In the SuperTrend Recovery version, if the price drops significantly below the "Switch Price" (for a bull trend) or rises above it (for a bear trend), the band begins to move toward the price based on the Recovery Alpha . This allows the trailing stop to "catch up" during high-volatility pullbacks, potentially securing a faster exit if the recovery fails. 🔶 DETAILS The core of this indicator lies in its two-stage calculation: the Base SuperTrend and the Recovery Logic. 🔹 Base Logic The indicator calculates a base upper and lower band using the Average True Range (ATR) multiplied by a user-defined factor. Under normal conditions, the band follows the classic rules: it can only move up during a bull trend and only down during a bear trend. 🔹 Recovery Logic When price enters a "loss" state relative to the price where the trend initially started (the Switch Price), the script checks if the deviation exceeds the Recovery Threshold . If the threshold is met, the band is calculated as an exponential moving average (EMA) of the current price and the previous band value, weighted by the Recovery Alpha : targetBand = alpha * close + (1.0 - alpha) * prevBand This creates a "tapering" effect where the band aggressively tightens toward the price during deep retracements, helping to mitigate drawdown by providing an earlier exit signal compared to the standard static band. 🔶 SETTINGS 🔹 Supertrend Settings ATR Length : The lookback period used to calculate market volatility. Base Multiplier : The factor applied to the ATR to determine the distance of the band from the price. 🔹 Recovery Logic Recovery Alpha (%) : Determines how quickly the band adjusts toward the price when the recovery logic is active. Higher values make the band more reactive. Recovery Threshold (xATR) : The distance (in ATR units) the price must deviate from the switch price before the recovery mechanism activates. 🔹 Visualization Show Gradient Fills : Toggles the background gradient between the price (source) and the SuperTrend band. Show Signal Labels : Toggles the "BULL" and "BEAR" labels at trend reversal points.
Pine Script® indicator
by LuxAlgo
5
Standard Deviation Supertrend | GForgeStandard Deviation Supertrend ~ 𝒢𝐹𝑜𝓇𝑔𝑒 A Supertrend indicator that replaces ATR with Standard Deviation for volatility measurement, combined with a selectable Moving Average anchor for noise reduction. ━━━━━━━━━━━━━━━━━━━━━━━━ What This Indicator Does This is a trend-following overlay that plots a single trailing line on your chart. When price is above the line, the trend is bullish. When price crosses below, the trend flips bearish. Signals fire on each flip. The core mechanic is identical to the classic Supertrend — ratcheting bands that tighten in the direction of the trend and only reset when price breaks through the opposite side. ━━━━━━━━━━━━━━━━━━━━━━━━ Why Standard Deviation Instead of ATR ATR measures the average candle range. It treats all bars the same — a strong directional candle and a choppy gap produce equal ATR contributions. Standard Deviation measures how far price disperses from its mean. During clean directional moves, prices cluster on one side of the mean, producing low StdDev and tighter bands. During erratic, sideways price action, prices scatter around the mean, producing high StdDev and wider bands. The result: the trailing stop naturally tightens when the trend is clean and loosens when conditions are noisy. This is adaptive behavior that ATR-based Supertrends don't provide. ━━━━━━━━━━━━━━━━━━━━━━━━ Two Smoothing Layers Raw Supertrend inputs can be noisy. A single wick or volatile candle can jerk the trailing band and cause a premature flip. This indicator addresses that with two optional smoothing layers: Anchor MA — applies a Moving Average to the price source before bands are calculated. Instead of building bands around raw hl2 (which reacts to every wick), the bands are built around a smoother baseline. 11 MA types are available: • None (hl2) — raw, classic Supertrend behavior • SMA, EMA, WMA — standard options with varying lag • HMA — very low lag, can overshoot on reversals • DEMA, TEMA — reduced lag variants of EMA • VWMA — volume-weighted, naturally anchors to high-volume levels • RMA — Wilder's smoothing, very stable • ALMA — Gaussian-weighted with tunable offset and sigma • T3 — Tillson, extremely smooth with adjustable volume factor StdDev Smoothing — applies an EMA to the raw Standard Deviation output before it scales the bands. This prevents abrupt band width changes when a volatile bar enters or exits the lookback window. Set to 1 to disable. Together, these improve parameter robustness — small changes to settings produce smaller changes in output, meaning the indicator is less likely to break under slight parameter variation. ━━━━━━━━━━━━━━━━━━━━━━━━ Settings Overview • Anchor Source — price input for the Supertrend. hl2 is the classic default. • StdDev Length — lookback period for the Standard Deviation calculation. • StdDev Multiplier — band width. Higher values require a larger move to flip direction. This serves the same purpose as a "threshold" in oscillator-based indicators. • Anchor MA Type / Length — which Moving Average smooths the anchor, and its period. • StdDev Smoothing — EMA period applied to the raw StdDev. 1 = no smoothing. • ALMA Offset / Sigma — only active when ALMA is selected. • T3 Volume Factor — only active when T3 is selected. • Current settings work best on BTC 1D ━━━━━━━━━━━━━━━━━━━━━━━━ Visual Elements • Glow trail — the Supertrend line pulses with a layered glow that changes color on trend direction. • Trend fill — gradient fill between price and the trailing line. • Inactive band — shown as crosses, marking where the opposite flip point sits. • Anchor MA line — subtle reference line showing the smoothed anchor (hidden when set to None). • Bar coloring — candles colored by current trend direction. • Signal diamonds — dual-layer markers (halo + core) on trend flips. All visual elements can be toggled on or off individually. 13 color themes are included. ━━━━━━━━━━━━━━━━━━━━━━━━ ⚠️ Disclaimer This indicator is a technical analysis tool, not financial advice. It does not guarantee profitable results. Past performance on any asset or timeframe does not indicate future results. No indicator can predict market direction with certainty. Always use proper risk management. Do not rely on any single indicator for trading decisions. Test thoroughly on your chosen instruments and timeframes before applying to live markets. You are solely responsible for your own trading decisions and outcomes. ━━━━━━━━━━━━━━━━━━━━━━━━ Developed by 𝒢𝐹𝑜𝓇𝑔𝑒
Pine Script® indicator
by GForge
Multiple Factor Adaptive MA SuperTrendMultiple Factor Adaptive MA SuperTrend Multiple Factor Adaptive MA SuperTrend is an enhanced trend-following overlay that builds on the classical SuperTrend concept by introducing an adaptive moving-average base. The indicator dynamically adjusts to changing market conditions to produce smoother and faster trend signals, helping traders better track directional moves while reducing unnecessary noise. Instead of relying on a fixed moving-average base, the indicator updates its baseline only when market conditions justify it. This creates a stabilizing effect during consolidation while allowing quicker reactions when volatility, momentum, or activity increases. 🔍 How It Works The indicator combines: • A user-selectable Moving Average as the core trend base • ATR-based volatility bands to detect trend transitions • An adaptive filter that determines when the base should update The adaptive mechanism evaluates market conditions using one of several selectable drivers: • ATR expansion (volatility increase) • Rate-of-change acceleration • Rising trading volume • Increasing divergence between price and the moving average If the chosen condition signals increased activity or market change, the moving-average base updates normally. Otherwise, the previous base value is retained, effectively smoothing the trend structure and filtering minor fluctuations. Volatility bands are then calculated around this adaptive base using ATR multiplied by a configurable factor. Trend changes occur when price crosses these bands. When price breaks above the upper band, a bullish trend is activated and the lower band becomes the trailing support. When price breaks below the lower band, a bearish trend is activated and the upper band acts as trailing resistance. ⚙️ Key Features • Adaptive moving-average baseline • Multiple MA types including SMA, EMA, WMA, HMA, VWMA, DEMA, TEMA, and EWMA • ATR-based volatility bands • Multiple adaptation modes (volatility, momentum, volume, divergence) • Reduced noise during consolidation phases • Smooth trend visualization and transition markers 🧩 Inputs Overview • Moving-average type and length • Price source selection • ATR length and multiplier • Adaptive filter method selection 📌 Usage Notes • Useful for identifying prevailing market direction and trend shifts. • Adaptive filtering can help reduce false signals during sideways markets. • Signals may update intrabar on lower timeframes. • Best results are achieved when combined with confirmation tools or risk management rules. • This script is intended for analytical purposes and does not provide financial advice.
Pine Script® indicator
by MisinkoMaster
Adaptive MA SuperTrendAdaptive MA SuperTrend Adaptive MA SuperTrend is a trend-following overlay indicator designed to deliver smoother and more responsive signals than the classical SuperTrend by dynamically combining two moving averages with volatility-based band calculations. Instead of relying on a single average, the script calculates a selectable pair of moving averages and continuously assigns them as the upper or lower base depending on which value is greater at each bar. This adaptive swapping allows the structure to respond better to changing market conditions while preserving overall trend stability. A volatility component is then added to the bases using either: • Average True Range (ATR) • Standard Deviation (SD) The selected volatility measure is multiplied by a configurable factor to create adaptive bands around the moving-average bases. Price crossing these bands determines trend direction changes. When price crosses above the upper band, the trend switches bullish and the lower band becomes the trailing support line. When price crosses below the lower band, the trend switches bearish and the upper band becomes the trailing resistance line. Only the active trend side is plotted to reduce visual noise and improve chart clarity. Multiple moving-average pair options are provided, allowing users to choose combinations that match their preferred balance between smoothness and responsiveness, including SMA, EMA, WMA, HMA, VWMA, DEMA, TEMA, and ALMA-based combinations. Additional parameters are available when ALMA is selected. ⚙️ Key Features • Adaptive swapping between two moving averages • Choice of MA pairs with different responsiveness profiles • ATR or Standard Deviation volatility bands • Configurable volatility length and multiplier • Optional ALMA tuning parameters • Trend visualization with color-coded support/resistance lines • Signal markers displayed on trend transitions 🧩 Inputs Overview • Moving average pair selection • Moving average length and price source • Volatility method, length, and multiplier • Optional ALMA offset and sigma parameters 📌 Usage Notes • Designed to help visualize prevailing trend direction and potential trend shifts. • Can be combined with confirmation tools or risk management rules within broader strategies. • Signals are generated when price crosses volatility-adjusted moving-average bands; signals may update intrabar, especially on lower timeframes. • This script is intended for analytical purposes and does not constitute financial advice. Users should test and validate performance within their own workflow before applying it to live trading.
Pine Script® indicator
by MisinkoMaster
House Rules SuperTrend Strategy (ATR-Based, Non-Repainting)📝 DESCRIPTION Overview The House Rules SuperTrend Strategy is a clean, rule-based trading strategy built using Pine Script® v6. It is designed for transparent backtesting, non-repainting signals, and simple trend-following execution across all markets and timeframes. This strategy uses TradingView’s built-in SuperTrend indicator, which is derived from Average True Range (ATR), to identify trend direction changes and generate long and short trades. How the Strategy Works Long Entry A long position is opened when the SuperTrend flips from bearish to bullish This confirms a potential upward trend shift Short Entry A short position is opened when the SuperTrend flips from bullish to bearish This confirms a potential downward trend shift Exits Positions are closed when either: The opposite SuperTrend signal appears, or The ATR-based Stop Loss or Take Profit is reached (if enabled) All signals are calculated on confirmed candle closes only, ensuring accurate and fair backtesting. Risk Management Optional ATR-based Stop Loss Optional ATR-based Take Profit Position sizing based on percentage of equity Commission included for realistic performance results All parameters are user-adjustable from the settings panel. Backtesting & Transparency This is a strategy, not an indicator No repainting No future data usage No hidden filters No lookahead bias Fully compatible with TradingView’s Strategy Tester Users are encouraged to test different symbols, timeframes, and parameter values to suit their trading style. Recommended Use This strategy can be used on: Cryptocurrencies Forex Stocks Indices Futures It performs best in trending market conditions and may underperform during low-volatility or ranging markets. Disclaimer This script is provided for educational and research purposes only. It is not financial advice. Always test and validate strategies before using them in live trading.
Pine Script® strategy
by JaxonJackFX
Adaptive AI SuperTrend [AlgoPoint]🚀 Adaptive AI SuperTrend Adaptive AI SuperTrend is a high-performance trading terminal that redefines trend-following by integrating Machine Learning (ML) principles with advanced market regime detection. Unlike static indicators, this system dynamically recalibrates its internal parameters to match the ever-changing volatility of the financial markets. Equipped with a custom "Wizard Engine," it filters out market noise during consolidation and identifies high-probability trend continuation points, making it an essential tool for scalpers, day traders, and swing traders alike. 🧠 What Makes it "AI"? While traditional indicators use fixed rules, Adaptive AI SuperTrend utilizes Algorithmic Intelligence to make real-time decisions: KNN-Inspired Adaptation: The engine analyzes the last 150 bars of volatility and trend strength to automatically adjust its sensitivity. Market Regime Intelligence: It distinguishes between "Trending" and "Ranging" states using a sophisticated Squeeze Momentum module, preventing "whipsaws" during low-volume periods. Self-Backtesting Logic: The indicator continuously calculates its own historical Win-Rate. If the probability of success falls below a certain threshold, it suppresses lower-quality signals. 🛠 Key Features Dynamic Consolidation Boxes: Automatically identifies and wraps "choppy" price action in professional gray boxes. It waits for 3+ bars of consolidation before marking the zone, helping you spot breakout opportunities early. Multi-Strategy Aggression: - Conservative: Filtered signals for long-term trend following. - Balanced: Optimized for daily volatility. - Aggressive: High-frequency signals for capturing micro-trends. Dual-Exit Risk Management: - ATR TP-SL Mode: Sets mathematical targets based on market volatility with persistent on-screen lines. - Smart Trailing Mode: Rides the trend to its exhaustion point. Includes intelligent labeling (🎯 TP or 🛑 SL) based on the trade's net profitability. - RSI Pullback Confirmation: Beyond simple trend flips, it detects "buy the dip" or "sell the rip" opportunities within an existing trend using RSI 50-level crossovers. 📊 Real-Time Analytics Dashboard The integrated AlgoPoint Dashboard provides a surgical view of the market: - Market State: Instant "Trending" vs. "Ranging" (Consolidation) detection. - Trend Strength: ADX-based momentum tracking. - Strategy Status: Real-time feedback on your active aggression and exit modes. 🎨 Clean Charting & Customization Built for professional clarity, you have total control over the UI: Toggle Consolidation Boxes on/off. Toggle ATR Target Lines and Exit Labels. Customize background filters and dashboard visibility.
Pine Script® indicator
by Iamalala
1
Supertrend by JKRSupertrend by JKR is a trend-following overlay that plots dynamic support/resistance bands around price and flips when the trend changes. It builds a smoothed baseline using your selected moving average type (SMA, TMA, WMA, VWMA, TEMA, HMA, EMA, or VMA). Around this baseline, it computes a volatility/range offset (classic ATR mode or Dual-Thrust range mode) and creates two trailing bands: UpTrend band (active during bullish conditions) DownTrend band (active during bearish conditions) When price closes beyond the active band, the indicator flips trend direction and switches to the opposite band. While the trend remains active, the band “trails” price and updates in a way that avoids stepping backwards, which helps keep the trend structure clean and stable. Options Trend-change arrows (optional) Bar coloring or candle overlay (optional) Designed to evaluate on bar close for stable signals Tip: Increase the Multiplier to reduce flips and widen bands; reduce Period to make the trend more responsive.
Pine Script® indicator
by kJulian3
SuperBands: Smart Pullback StrategyIndicator Name: SuperBands (Smart Pullback Strategy) 1. Core Concept (The Philosophy) This indicator represents a smart fusion of two powerful trading methodologies: Trend Following and Mean Reversion. Instead of trying to predict market tops or bottoms, it focuses on joining an established trend at a "Discount Price." In short: "Buy the dips in an Uptrend, and Sell the rallies in a Downtrend." 2. Technical Components The indicator consists of two main engines working in harmony: First: The Trend Filter (Supertrend): Settings: (ATR 20 / Factor 6.0). Function: Identifies the long-term market direction. The high Factor (6.0) is deliberately used to filter out noise and minor fluctuations, ensuring the trend direction only changes when there is a significant market shift. Rule: If the line is Green, only Long trades are allowed. If Red, only Short trades are allowed. Second: The Sniper (Bollinger Bands): Settings: (Length 20 / StdDev 2.0). Function: Identifies temporary Overbought and Oversold zones within the trend. Rule: The Lower Band acts as a "Value Zone" for buying, while the Upper Band acts as a "Premium Zone" for selling. 3. Signal Logic (How it Works) The indicator scans the market for specific, high-probability conditions: A. Buy Signal (Green Triangle): Appears only when both conditions are met: Trend is Bullish: Supertrend is Green. Price is "Cheap": Price drops to touch or break the Lower Bollinger Band. Logic: The general trend is Up, and the price has pulled back to a dynamic support level. This is a buying opportunity. B. Sell Signal (Red Triangle): Appears only when both conditions are met: Trend is Bearish: Supertrend is Red. Price is "Expensive": Price rises to touch or break the Upper Bollinger Band. Logic: The general trend is Down, and the price has rallied to a dynamic resistance level. This is a selling opportunity. 4. User Guide (How to Trade It) To achieve the best results, consider the following approach when a signal appears: A. Entry: Enter the trade immediately upon the close of the candle where the triangle appears (or place a pending order slightly above/below the signal candle for confirmation). B. Stop Loss (SL): Conservative: Place the SL at the Supertrend line (if this line breaks, the trend is invalid). Aggressive: Place the SL slightly below the signal candle's low or the most recent Swing Low. C. Take Profit (TP): Target 1: The Bollinger Bands Middle Line (Basis/SMA 20). Target 2: The Opposite Band (Upper Band for Buy signals, Lower Band for Sell signals). 5. Key Strengths & Limitations Main Advantage: This indicator prevents a common trader mistake: "FOMO" (Fear Of Missing Out). It stops you from buying at the top or selling at the bottom. It psychologically forces you to wait for the price to come to you. Best Use Case: The wide Supertrend settings make this highly effective for Crypto and Volatile Stocks where trends are strong and pullbacks are deep. Limitation: In tight, ranging markets (choppy markets), the price might not touch the bands often, or it might generate a signal followed by sideways movement. Summary for the Trader: This indicator tells you: "The trend is Up, but don't chase the price... wait for it to drop to the Lower Band, then strike." اسم المؤشر: SuperBands (Smart Pullback Strategy) 1. الفكرة الأساسية (الفلسفة وراء المؤشر) هذا المؤشر هو دمج ذكي بين استراتيجيتين شهيرتين: تتبع الاتجاه (Trend Following) و اقتناص الارتدادات (Mean Reversion). هو لا يحاول التنبؤ بقمة أو قاع السوق، بل يحاول الدخول مع الاتجاه العام القوي ولكن من "نقطة سعرية مخفضة" (Discount Price). باختصار: "اشترِ الانخفاضات في الاتجاه الصاعد، وبع الارتفاعات في الاتجاه الهابط". 2. المكونات التقنية يتكون المؤشر من جزأين رئيسيين يعملان كفريق واحد: أولاً: الحارس (Supertrend): الإعدادات: (ATR 20 / Factor 6.0). الوظيفة: تحديد الاتجاه العام "طويل المدى". استخدام العامل 6.0 (وهو رقم كبير) يجعل المؤشر يتجاهل التذبذبات الصغيرة ولا يغير لونه إلا إذا تغير الاتجاه الحقيقي للسوق بقوة. القاعدة: إذا كان الخط أخضر، يُسمح بالشراء فقط. إذا كان أحمر، يُسمح بالبيع فقط. ثانياً: القناص (Bollinger Bands): الإعدادات: (Length 20 / StdDev 2.0). الوظيفة: تحديد مناطق ذروة البيع والشراء المؤقتة (Overbought/Oversold) داخل الاتجاه. القاعدة: الحد السفلي يعتبر منطقة "رخيصة" للشراء، والحد العلوي منطقة "غالية" للبيع. 3. كيف تتكون الإشارة (آلية العمل) يقوم المؤشر بمسح السوق بحثاً عن شروط محددة بدقة: A. إشارة الشراء (المثلث الأخضر): تظهر فقط عند تحقق الشرطين معاً: الاتجاه صاعد: السوبر تريند لونه أخضر. سعر مغري: السعر هبط ليلامس أو يكسر الحد السفلي للبولنجر باند (Lower Band). المنطق: الاتجاه العام صاعد، والسعر قام بعمل تصحيح (Pullback) لمستوى دعم ديناميكي، إذن هي فرصة للشراء بسعر أفضل. B. إشارة البيع (المثلث الأحمر): تظهر فقط عند تحقق الشرطين معاً: الاتجاه هابط: السوبر تريند لونه أحمر. سعر مرتفع: السعر صعد ليلامس أو يخترق الحد العلوي للبولنجر باند (Upper Band). المنطق: الاتجاه العام هابط، والسعر قام بعمل تصحيح صعودي لمقاومة ديناميكية، إذن هي فرصة للبيع من مكان مرتفع. 4. كيفية الاستفادة منه (دليل المستخدم) لتحقيق أفضل نتائج، يُنصح باتباع الخطوات التالية عند ظهور الإشارة: أ. نقاط الدخول (Entry): ادخل الصفقة بمجرد إغلاق الشمعة التي ظهر عليها المثلث (أو ضع أمر معلق فوق/تحت الشمعة لتأكيد الحركة). ب. وقف الخسارة (Stop Loss): الخيار الآمن: ضع الوقف عند خط السوبر تريند (لأنه إذا كُسر الخط، يعني أن الاتجاه تغير). الخيار المغامر: ضع الوقف أسفل قاع الشمعة السابقة بمسافة بسيطة، أو أسفل آخر قاع (Swing Low). ج. جني الأرباح (Take Profit): الهدف الأول: خط المنتصف للبولنجر باند (الخط البرتقالي الخفي أو متوسط 20). الهدف الثاني: الحد المعاكس للبولنجر باند (الحد العلوي في حالة الشراء، والسفلي في حالة البيع). 5. مميزات وعيوب يجب الانتباه لها الميزة القوية: يمنعك هذا المؤشر من ارتكاب خطأ شائع وهو "الشراء في القمة" أو "البيع في القاع". هو يجبرك نفسياً على انتظار السعر ليأتي إليك في مناطق التصحيح. نقطة القوة: إعدادات السوبر تريند (6.0) تجعل الإشارات قوية جداً في العملات الرقمية (Crypto) والأسهم ذات الاتجاه الواضح (Trending Markets). نقطة الضعف: في الأسواق العرضية المملة (Ranging Markets) ذات النطاق الضيق جداً، قد لا تلمس الأسعار حدود البولنجر كثيراً، أو قد يعطي إشارات دخول والسوق لا يتحرك بعدها بقوة. ملخص للمتداول: هذا المؤشر يقول لك: "السوق صاعد، لكن لا تطارد السعر.. انتظر حتى يهبط السعر إليك عند الخط السفلي ثم اشترِ".
Pine Script® indicator
by abdelhadi-salah
SuperTrend - With Exits & Trade ZonesSuperTrend - With Exits & Trade Zones Overview An advanced trend-following indicator that combines pivot points with the SuperTrend methodology to create a complete trading system with entry signals, exit signals, and visual trade zones. This indicator adapts to market structure rather than just price action, providing more reliable trend identification. What Makes This Unique Unlike standard SuperTrend indicators that use moving averages, this version: Uses actual pivot points to calculate a dynamic center line Provides multiple entry mode options for different trading styles Shows clear exit signals (both trailing stop and take profit) Color-codes the entire chart into trade zones (Long, Short, No Trade) Eliminates guesswork about when to enter, exit, and stay out Features 📊 Core Indicator Components Pivot Point Detection: Identifies local highs and lows in price structure Dynamic Center Line: Weighted calculation using detected pivot points ATR-Based Bands: Volatility-adjusted upper and lower bands Trailing Stop Line: Adaptive stop-loss that follows the trend 🎯 Entry Signals Four entry modes to match your trading style: Immediate Mode ⚡ Signals right when the trailing stop breaks Fastest entries for aggressive traders Best for strong trending markets Aggressive Mode 🔥 (Recommended) Signals when price closes beyond break candle OR opens beyond it Balanced speed and confirmation Good for most market conditions Balanced Mode ⚖️ Requires entire candle to close beyond break level Moderate confirmation Reduces false breakouts Conservative Mode 🛡️ Waits for candle to open AND stay completely beyond break level Highest confirmation, slowest entries Best for choppy markets 🚪 Exit Signals Three exit strategies: Trailing Stop Exits when price crosses back through the trailing stop line Lets profits run in trending markets Protects gains when trend weakens Take Profit % Exits at predetermined profit target Locks in gains at specific percentage Good for range-bound markets Both Uses whichever exit comes first Combines profit protection with trend following Recommended for most traders 🎨 Visual Trade Zones Color-coded backgrounds eliminate confusion: 🟢 Light Green: Active LONG position 🔴 Light Red: Active SHORT position ⚫ Gray: NO TRADE ZONE (between exit and next signal) 📍 Additional Visual Elements Diamond markers: Show when trailing stop is first broken BUY/SELL labels: Clear entry signals in green/red EXIT markers: Gray X for stop loss, Orange X (TP) for take profit Pivot points: Optional display of detected highs/lows (H/L markers) Support/Resistance: Optional circles at pivot levels Settings & Parameters Basic Settings Pivot Point Period (default: 2) Controls sensitivity of pivot detection Lower = more pivots detected (more responsive) Higher = fewer pivots (more stable) ATR Factor (default: 3) Distance multiplier for trailing stop bands Lower = tighter stops (more signals, earlier exits) Higher = wider stops (fewer signals, longer trades) ATR Period (default: 10) Lookback period for volatility calculation Affects how quickly bands adapt to volatility changes Entry Configuration Entry Mode: Select from Immediate/Aggressive/Balanced/Conservative Determines how quickly the indicator generates signals after a trend break Exit Configuration Exit Method: Choose Trailing Stop, Take Profit %, or Both Take Profit % (default: 2%) Set your profit target as percentage of entry price Adjust based on volatility and timeframe Display Options Show Buy/Sell Labels: Toggle entry signal labels Show Exit Signals: Toggle exit markers Show Break Candles: Toggle diamond markers on trend breaks Show Pivot Points: Display H/L markers at pivot points Show PP Center Line: Display the dynamic center line Show Support/Resistance: Display circles at S/R levels How to Use For Swing Traders Set Entry Mode to "Balanced" or "Conservative" Use "Both" exit method with 3-5% take profit Enable all visual elements for complete market picture Trade only in direction of colored zones For Day Traders Set Entry Mode to "Aggressive" or "Immediate" Use "Trailing Stop" exit method to catch intraday trends Lower ATR Factor to 2-2.5 for tighter stops Watch for quick signals in the first 2 hours of trading For Position Traders Use higher timeframes (Daily/Weekly) Set Entry Mode to "Conservative" Increase Take Profit % to 5-10% Use larger ATR Factor (4-5) for wider stops General Trading Rules ✅ DO: Enter on BUY/SELL signals (green/red backgrounds) ✅ DO: Exit on EXIT/TP markers ❌ DON'T: Enter during gray NO TRADE ZONE ❌ DON'T: Counter-trend trade against the colored zone Alerts Set up the following alerts for automated trading notifications: Buy Signal: Triggers when long entry conditions are met Sell Signal: Triggers when short entry conditions are met Exit Long: Triggers when long position should be closed Exit Short: Triggers when short position should be closed Trailing Stop Broken: Triggers on initial trend change Best Practices Timeframe Selection 1-5 min: Scalping (use Immediate/Aggressive mode) 15-60 min: Day trading (use Aggressive/Balanced mode) 4H-Daily: Swing trading (use Balanced/Conservative mode) Weekly: Position trading (use Conservative mode) Risk Management Always use the EXIT signals - don't hold through gray zones Position size based on distance to trailing stop Never risk more than 1-2% per trade Consider wider stops on higher timeframes Market Conditions Trending markets: Use Aggressive mode, Trailing Stop exits Ranging markets: Use Conservative mode, Take Profit exits High volatility: Increase ATR Factor, use Both exits Low volatility: Decrease ATR Factor for tighter stops Technical Details Calculation Method Detect pivot highs and lows using specified period Calculate weighted center line: (previous_center × 2 + new_pivot) / 3 Calculate bands: Upper = Center - (ATR Factor × ATR), Lower = Center + (ATR Factor × ATR) Determine trend based on price position relative to bands Trail stop line follows the active trend direction Signal Logic Entry signals generated based on selected confirmation mode Position tracking maintains state from entry to exit Exit signals calculated from both trailing stop and take profit levels Trade zones update in real-time based on position state Limitations & Considerations Works best in trending markets; may generate false signals in tight ranges Not a holy grail - should be used with proper risk management Past performance does not guarantee future results Recommended to backtest on your specific instrument and timeframe Consider combining with volume analysis or other indicators for confirmation Version History v1.0: Initial release with entry signals and confirmation modes v1.1: Added exit signals (trailing stop and take profit) v1.2: Added color-coded trade zones (Long/Short/No Trade) Credits Original Pivot Point SuperTrend concept by LonesomeTheBlue Modified with exit signals and trade zone visualization License Mozilla Public License 2.0 Example Setups Conservative Swing Trading Pivot Point Period: 2 ATR Factor: 3 ATR Period: 10 Entry Mode: Conservative Exit Method: Both Take Profit %: 4% Aggressive Day Trading Pivot Point Period: 2 ATR Factor: 2.5 ATR Period: 10 Entry Mode: Aggressive Exit Method: Trailing Stop Position Trading Pivot Point Period: 3 ATR Factor: 4 ATR Period: 14 Entry Mode: Balanced Exit Method: Both Take Profit %: 8% Disclaimer: This indicator is for educational purposes only. Trading involves substantial risk. Always do your own research and never trade with money you cannot afford to lose.
Pine Script® indicator
by Tapaspattanaik