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VWAP Z-Score & Exhaustion Matrix [AlgoPoint]AlgoPoint VWAP Z-Score & Order Flow Matrix Overview The AlgoPoint VWAP Z-Score Matrix is a quantitative oscillator designed to identify statistical extremes in price action relative to a dynamic volume-weighted baseline. By combining a Rolling VWAP, Volume-Weighted Standard Deviation, Volume Exhaustion, and an Intrabar Order Flow Delta proxy, this indicator provides a comprehensive framework for modeling mean-reversion (fade) setups. Mathematical Core & Components This indicator relies on three primary quantitative mechanics:Rolling VWAP & Z-Score: Unlike a traditional anchored VWAP that resets daily, this script calculates a Rolling VWAP over a user-defined lookback window. The standard deviation is volume-weighted, ensuring that high-volume nodes have a proportional impact on the variance. The Z-Score normalizes the price deviation from the VWAP, creating a 0-centered oscillator. - Volume Exhaustion: The script compares the current bar's volume against a Simple Moving Average (SMA) of volume. If the current volume is lower than the average, it flags a state of "exhaustion," indicating a potential deceleration in the current price push. - Order Flow Delta Proxy: To evaluate microstructure without requiring lower timeframe data, the indicator estimates intrabar buying and selling pressure. It apportions the total bar volume into "Up Volume" and "Down Volume" based on where the close occurs relative to the high-low range. The net difference establishes the Volume Delta. Visual Elements & Interpretation Dual-Gradient Bar Coloring: The main chart candles and the oscillator line are dynamically colored using a dual-gradient system. The color smoothly transitions from a neutral gray at the mean (0) to green at negative extremes and red at positive extremes. Reference Thresholds: Default extreme limits are set at +2.5 and -2.5 Z-Scores.Exhaustion Nodes: Circular nodes appear on the oscillator line when the price reaches an extreme Z-Score simultaneously with volume exhaustion. Quant Dashboard: A real-time table displaying the current Z-Score, Volume Status (Active/Exhausted), Order Flow Delta (Net Buyers/Sellers), and the absolute Rolling VWAP price. Signal Generation "Fade Long" and "Fade Short" labels are generated only when all structural conditions are met and the bar is confirmed (barstate.isconfirmed) Fade Short: Z-Score > Upper Threshold AND Volume is Exhausted AND Delta is Negative (Sellers taking control). Fade Long: Z-Score < Lower Threshold AND Volume is Exhausted AND Delta is Positive (Buyers taking control). Alerts The indicator includes standard alert conditions and dynamic JSON webhook strings for automated trading systems, providing real-time data on the asset, price, Z-Score, and Delta values upon signal generation.
Indicador Pine Script®
por Iamalala
4
Adaptive Momentum Fusion [WillyAlgoTrader]📡 Adaptive Momentum Fusion is a separate-pane oscillator that replaces the fixed EMAs inside a standard MACD with selectable adaptive moving averages — six different adaptation engines that each respond to a different market dimension (efficiency, volatility, fractal structure, momentum, volume, or a weighted composite of all five). The oscillator line and signal line are then processed through Jurik-style smoothing to reduce jitter without adding lag. The result is a MACD-like oscillator where the core moving averages automatically adjust their speed to current market conditions, producing cleaner crossovers, more meaningful histogram readings, and built-in divergence detection. A standard MACD uses fixed-length EMAs (typically 12/26/9). This means the same smoothing is applied whether the market is trending strongly, ranging sideways, experiencing a volatility spike, or consolidating. The result: late crossovers in trends, whipsaws in ranges, and false divergences during choppy periods. This indicator solves the problem at the source — the moving averages themselves. Instead of fixed EMAs, each adaptation engine dynamically adjusts the smoothing constant (alpha) on every bar based on a real-time market measurement. In a strong trend, the Efficiency engine detects high directional efficiency and increases alpha → faster MA → earlier crossover. In a range, efficiency drops and alpha decreases → slower MA → fewer whipsaws. Each engine uses a different measurement to achieve this adaptation, and the user selects which dimension matters most for their market. 🧩 WHY THESE COMPONENTS WORK TOGETHER A MACD with adaptive MAs alone would still produce a noisy signal line (the EMA of the oscillator). Adding adaptation to the base MAs but keeping a fixed EMA for the signal line creates a mismatch: the oscillator adapts but the signal doesn't, causing crossover lag to reappear at the signal level. This indicator addresses the full signal chain: Adaptive fast MA → Adaptive slow MA → Oscillator (MACD or PPO) → Jurik-smoothed signal line → 4-state histogram → Divergence scanner The adaptive MAs eliminate the fixed-speed problem at the source. The MACD/PPO dual mode lets you choose between absolute (price-scaled) and percentage (normalized) output. The Jurik smoother replaces the standard signal EMA with a 3-stage filter that reduces jitter while preserving crossover timing — critical because adaptive oscillators produce more variable readings than fixed ones. The 4-state histogram (accelerating/decelerating × bullish/bearish) quantifies momentum acceleration, not just direction. And the divergence scanner works on the adaptive oscillator itself, which produces more reliable pivots than a fixed MACD because the adaptive MAs have already filtered out noise-driven fluctuations. Removing the adaptive engines returns you to a standard MACD. Removing the Jurik smoother reintroduces signal line jitter that the adaptive engines amplify. Removing the histogram states loses momentum acceleration information. The full pipeline produces cleaner signals than any subset. 🔍 WHAT MAKES IT ORIGINAL 1️⃣ Six selectable adaptation engines. Each engine computes a dynamic smoothing constant (alpha) that controls how fast the moving average reacts. All engines feed into the same adaptive EMA core: result = alpha × source + (1 − alpha) × result . The difference is how alpha is calculated: Efficiency (Kaufman AMA): Computes the Efficiency Ratio: ER = |price − price | / sum(|price − price |, N). ER ranges from 0 (pure chop — price moves a lot bar-to-bar but goes nowhere net) to 1 (pure trend — every bar moves in the same direction). The smoothing constant: sc = (ER × (fastSc − slowSc) + slowSc)², where fastSc = 2/3, slowSc = 2/31. This is the classic Kaufman Adaptive Moving Average approach. Best all-around engine. Volatility (ATR-based): Computes volRatio = ATR(len) / SMA(ATR, len×2). When current volatility exceeds its average (ratio > 1), alpha increases → MA speeds up to track the expanding price action. When volatility contracts (ratio < 1), alpha decreases → MA slows down to avoid noise. Alpha = baseAlpha × volRatio, clamped to . Best for instruments with distinct volatility regimes (crypto, commodities). Fractal (Hurst-inspired): Estimates the fractal dimension of the price series using rescaled range analysis: the full-range is compared to the sum of two half-ranges. fracDim = 1 + log(sumHalf) / log(2 × rangeFull). A fractal dimension near 1.0 indicates trending behavior (smooth), near 2.0 indicates mean-reverting (rough). Alpha = exp(−4.6 × (fracDim − 1)), which maps: fracDim ≈ 1.0 → alpha ≈ 1.0 (fast, trending), fracDim ≈ 2.0 → alpha ≈ 0.01 (slow, ranging). Best for detecting regime changes between trending and mean-reverting markets. Momentum (ROC-based): Computes the Rate of Change normalized against its recent maximum: norm = |ROC| / highest(|ROC|, len×2). When momentum is strong relative to recent history, alpha increases. Alpha = baseAlpha + norm × (1 − baseAlpha) × 0.5. This makes the MA react faster during breakouts and momentum surges while staying smooth during low-momentum drift. Best for breakout-oriented strategies. Volume: Computes volRatio = volume / SMA(volume, len). When volume exceeds its average (institutional participation), the MA speeds up. Alpha = baseAlpha × √(volRatio). The square root prevents extreme volume spikes from making the MA too reactive. Auto-disabled on instruments without volume data (forex) — falls back to baseAlpha. Best for stocks and crypto where volume confirms moves. Composite (weighted blend): Runs all five engines simultaneously and blends the results: with volume = 30% Efficiency + 20% Volatility + 20% Fractal + 15% Momentum + 15% Volume. Without volume = 35% Efficiency + 25% Volatility + 25% Fractal + 15% Momentum. This produces the most robust adaptation but is slightly slower because it averages five different smoothing perspectives. Best for users who don't want to choose a single engine. 2️⃣ Jurik-style signal line smoothing. The standard MACD signal line is a simple EMA of the oscillator. This indicator replaces it with a 3-stage Jurik-inspired filter: beta = 0.45 × (len − 1) / (0.45 × (len − 1) + 2) alphaJ = beta³ e0 = (1 − alphaJ) × source + alphaJ × e0 e1 = (source − e0) × (1 − beta) + beta × e1 e2 = (e0 + phase × e1 − e2 ) × (1 − alphaJ)² + alphaJ² × e2 The three stages progressively remove jitter while maintaining phase alignment. The phase parameter (Jitter Reduction, default 0.7) controls how much additional smoothing is applied: 0.0 = minimal smoothing (fast but noisy), 1.0 = maximum smoothing (smooth but slightly more lag). This is particularly important for adaptive oscillators because the variable-speed MAs produce a more erratic oscillator line than fixed EMAs — the Jurik filter absorbs this variability at the signal level. 3️⃣ MACD/PPO dual output mode. — MACD mode : oscillator = fastMA − slowMA (absolute difference, price-scaled). Readings scale with instrument price — useful for single-instrument analysis. — PPO mode : oscillator = (fastMA − slowMA) / slowMA × 100 (percentage difference, normalized). Readings are comparable across instruments and time — useful for scanning, multi-market analysis, or consistent threshold settings. 4️⃣ 4-state momentum histogram. The histogram (oscillator − signal) is classified into four states based on value and direction of change: — 🟢 Accelerating bullish : histogram > 0 AND rising (momentum strengthening) — 🟢 Decelerating bullish : histogram > 0 AND falling (momentum fading, potential reversal ahead) — 🔴 Accelerating bearish : histogram < 0 AND falling (selling pressure increasing) — 🔴 Decelerating bearish : histogram < 0 AND rising (selling pressure easing, potential bounce) Each state has a distinct color intensity: accelerating = fully saturated, decelerating = faded. This provides immediate visual recognition of whether momentum is building or exhausting — the most actionable information from a histogram. 5️⃣ Divergence detection with adaptive oscillator. The indicator scans for regular divergences between price and the adaptive oscillator: — Regular Bullish Divergence : price makes a lower low, but the oscillator makes a higher low → selling pressure is weakening despite lower prices → potential reversal up — Regular Bearish Divergence : price makes a higher high, but the oscillator makes a lower high → buying pressure is weakening despite higher prices → potential reversal down Pivots are detected using a custom function with configurable lookback (default 30 bars) and a fixed right-bar confirmation of 5 bars. Divergences are labeled on the oscillator pane and optionally drawn as connecting lines. The divergence state persists in the dashboard for 20 bars after detection, then decays. Divergences detected on the adaptive oscillator are more reliable than on a standard MACD because the adaptive MAs have already filtered regime-inappropriate noise — the pivots in the oscillator correspond to genuine momentum shifts, not noise-driven wiggles. 6️⃣ Zero-line cross signals. When enabled, the indicator marks when the oscillator crosses the zero line — which corresponds to the fast adaptive MA crossing the slow adaptive MA. In MACD terms, this is the equivalent of the "MACD crossing zero." Because the MAs are adaptive, these crossovers occur at more structurally meaningful points than with fixed EMAs. 7️⃣ Signal strength scoring (0–100). Each bar's histogram absolute value is normalized against its recent maximum over 50 bars: strength = |histogram| / highest(|histogram|, 50) × 100. This provides a relative measure: 100 = histogram is at its strongest in the last 50 bars, 0 = no momentum. Classified as Strong (≥ 70), Medium (≥ 40), Weak (< 40). Displayed in the dashboard. ⚙️ HOW IT WORKS — CALCULATION FLOW Step 1 — Engine selection: The selected adaptation engine computes a dynamic alpha value on each bar based on its specific market measurement (efficiency ratio, ATR ratio, fractal dimension, ROC normalization, volume ratio, or composite blend). Step 2 — Adaptive MA calculation: The fast MA and slow MA are each computed using the adaptive EMA formula: result = alpha × source + (1 − alpha) × result . The same engine is used for both, with different length parameters (fast = default 8, slow = default 21). Step 3 — Oscillator: MACD mode: osc = fastMA − slowMA. PPO mode: osc = (fastMA − slowMA) / slowMA × 100. Step 4 — Signal line: The oscillator is passed through the Jurik 3-stage filter with the configured signal length (default 7) and jitter reduction factor (default 0.7). Step 5 — Histogram: hist = oscillator − signal. Classified into 4 states (accelerating/decelerating × bullish/bearish) based on sign and direction of change. Step 6 — Divergence scan: Custom pivot detection identifies local highs and lows in both the oscillator and price. When a new pivot is found, it's compared to the previous pivot to check for divergence conditions (price lower low + osc higher low, or price higher high + osc lower high). Step 7 — Signals: Crossovers (oscillator crossing signal line) and zero-line crosses are detected. All signals require barstate.isconfirmed + warmup check. 📖 HOW TO USE 🎯 Quick start: 1. Add the indicator — the adaptive oscillator appears in a separate pane 2. Select an adaptation engine matching your market (Efficiency for general use) 3. Green line above red = bullish momentum, below = bearish 4. Histogram bars show momentum acceleration (bright) vs deceleration (faded) 5. Divergence labels mark potential reversals 👁️ Reading the pane: — 🟢 Green oscillator line above signal line = bullish momentum — 🔴 Red oscillator line below signal line = bearish momentum — 🟢 Bright green histogram = accelerating bullish momentum — 🟢 Faded green histogram = decelerating bullish (momentum fading) — 🔴 Bright red histogram = accelerating bearish momentum — 🔴 Faded red histogram = decelerating bearish (selling easing) — ▲ label = buy crossover signal (oscillator crosses above signal) — ▼ label = sell crossover signal — ● dot on zero line = zero-line cross — "Bull Div" / "Bear Div" labels = detected divergences 🔧 Engine selection guide: — Efficiency : best default for most markets — adapts to trending vs ranging — Volatility : best for instruments with clear vol regimes (crypto, commodities) — Fractal : best for detecting regime shifts (trending ↔ mean-reverting) — Momentum : best for breakout strategies — speeds up on strong moves — Volume : best for stocks/crypto where volume confirms participation — Composite : most robust — blends all dimensions, good when unsure 🔧 Tuning guide: — Too many whipsaws: increase Slow Length, increase Signal Length, increase Jitter Reduction — Signals too late: decrease Fast/Slow Length, decrease Signal Length, decrease Jitter Reduction — Histogram too noisy: increase Jitter Reduction toward 0.8–1.0 — Divergences too frequent: increase Divergence Lookback (40–60) — Cross-market comparison: switch to PPO mode for normalized output ⚙️ KEY SETTINGS REFERENCE ⚙️ Main: — Adaptation Engine (default Efficiency): Efficiency / Volatility / Fractal / Momentum / Volume / Composite — Fast Length (default 8): fast adaptive MA period — Slow Length (default 21): slow adaptive MA period — Signal Length (default 7): Jurik signal smoothing period — Output Mode (default MACD): MACD (absolute) or PPO (percentage) 🔍 Filters: — Detect Divergences (default On): scan for regular divergences — Divergence Lookback (default 30): pivot search depth — Zero Line Cross Signals (default On): mark zero crossings 🔧 Advanced: — Jitter Reduction (default 0.7): Jurik phase parameter (0.0–1.0) — Auto / Dark / Light theme 📊 Dashboard — Trend: oscillator vs signal line direction (Bullish / Bearish / Neutral) — Signal: last crossover (BUY / SELL / Wait) — Strength: histogram normalized to 50-bar max (Strong / Medium / Weak with %) — Momentum: 4-state acceleration (Accel ▲ / Decel ▽ / Accel ▼ / Decel △) — Divergence: current divergence state (Bull Div / Bear Div / None) — Engine / TF: selected engine and timeframe — Version 🔔 Alerts — 🟢 BUY / 🔴 SELL — oscillator-signal crossover (ticker, price, timeframe, engine) — 🟡 ZERO BULL CROSS / ZERO BEAR CROSS — zero-line crossing — 🔵 BULL DIVERGENCE / BEAR DIVERGENCE — detected divergence All support plain text and JSON webhook format. Bar-close confirmed. ⚠️ IMPORTANT NOTES — 🚫 No repainting. All signals and divergences require barstate.isconfirmed. A warmup period (2× slow length, minimum 50 bars) prevents signals during insufficient data. The adaptive MAs are deterministic — once a bar closes, the MA value for that bar never changes. — 📐 This is a separate-pane oscillator, not an overlay. It displays in its own pane below the chart. The oscillator values are momentum readings, not price levels. Use it alongside your chart for confluence, not as a standalone trading system. — ⚖️ The six engines produce different signals on the same data . Efficiency and Composite tend to produce the most similar results. Fractal can diverge significantly during regime transitions. Volume engine auto-falls back to base alpha on instruments without volume data. — 📊 Signal strength is relative to recent 50 bars , not absolute. A "Strong" reading during a low-volatility week may be weaker in absolute terms than a "Weak" reading during a high-volatility week. — 🔄 Divergences use a 5-bar right confirmation — they appear 5 bars after the actual pivot. This delay is inherent to pivot detection and cannot be eliminated without introducing false positives. — 📏 PPO mode normalizes the output as a percentage, making threshold settings (e.g., "divergence when oscillator > 2") comparable across instruments. MACD mode values scale with price — a reading of 5.0 on a $100 stock is different from 5.0 on a $50,000 BTC chart. — 🛠️ This is a momentum analysis tool , not an automated trading bot. It measures and visualizes adaptive momentum — trade decisions remain yours. — 🌐 Works on all markets and timeframes. Volume engine auto-adapts to available data.
Indicador Pine Script®
por WillyAlgoTrader
4
EMA Crossover Pro + Dynamic Targets + Live Dashboard with Time ETA Method — choose between three modes: ATR-Based — divides distance to target by the current ATR value. More stable since ATR reflects actual volatility. Linear Velocity — divides distance by the average absolute price move per bar over the last N bars. More responsive to recent momentum. Both — shows both estimates side by side in the dashboard. Velocity Lookback — how many bars back to measure average speed (default 20). Show ETA labels on chart — toggles floating labels to the right of each target line. Dashboard additions (rows 9–13): A header row showing ⏱ ETA TO TARGET with the active method. One row per target (TG1–TG4) showing: Human-readable time estimate: < 1 min / ~45 min / ~2h 30m / ~1d 4h Bar count in parentheses: (12 bars) Percentage distance remaining: (1.23% away) Once a target is hit it shows ✅ HIT in gray. On-chart labels: small navy labels appear just to the right of each un-hit target line showing the ETA inline. Note: These are statistical estimates based on recent volatility/speed — not predictions. Strong trend moves will arrive faster, consolidations slower. Use them as a rough waiting-time guide rather than a guarantee.
Indicador Pine Script®
por demantprasad
CUSUM Trend [AlgoPoint]The CUSUM Trend by AlgoPoint brings hedge-fund-level quantitative analysis directly to your charts. While standard moving averages suffer from lag and fakeouts, this script utilizes an advanced Cumulative Sum (CUSUM) algorithm, deeply re-engineered with adaptive volatility and volume-weighted metrics to identify true market regimes. It is designed to protect traders from choppy markets and explicitly capture high-probability, volume-backed trend breakouts before they become obvious to the retail crowd. 🧠 Under the Hood: The Quant Mechanics Instead of a basic price deviation model, the CUSUM Trend operates on four advanced pillars: - Zero-Lag Kernel (Ehlers SuperSmoother): We replaced traditional MAs with John Ehlers' SuperSmoother filter to establish a mathematically zero-lag baseline. - Volume-Weighted Residuals: Price deviations (residuals) only build up the CUSUM pressure pools if they are backed by institutional volume. Low-volume spikes are treated as noise and explicitly filtered out. - Fractal Dimension (Adaptive Thresholds): By using a proxy for the Hurst Exponent, the engine "reads" the market state. In choppy conditions, the bands expand defensively to prevent fakeouts. In trending conditions, they tighten aggressively. - Asymmetric Volatility: The algorithm calculates upside and downside variance independently, recognizing that market drops are often much sharper than rallies. 📊 How to Read the Chart - The Dynamic Trend Cloud: The asymmetric bands represent the institutional pressure thresholds. When price breaks and confirms outside this zone, a regime change (Bull/Bear trend) is triggered. - Gradient Candles: Candle colors dynamically shift based on the built-up CUSUM pressure. Bright green/red indicates extreme breakout momentum, while faded colors represent a stable trend or a ranging market. - Trailing Stop: Once a trend is established, the opposite side of the threshold acts as a dynamic trailing stop line, allowing you to ride the trend to its mathematical exhaustion. - Hybrid Dashboard: Monitor the internal breakout pressure, fractal regime, and exact trailing stop value in real-time without cluttering your main view. ⚙️ How to Use It - Sensitivity Profiles: Choose between Fast (Day Trade), Balanced (Swing), or Slow (Trend) in the settings. The engine automatically recalculates all internal variance and fractal thresholds based on your choice. - Automation Ready: Fully compatible with webhook automation (3Commas, PineConnector, etc.) via dynamic JSON alerts triggering on confirmed regime breakouts. Disclaimer: This indicator is for educational and analytical purposes only. Past performance is not indicative of future results.
Indicador Pine Script®
por Iamalala
5
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.
Indicador Pine Script®
por WillyAlgoTrader
11
Adaptive Momentum Classifier [WillyAlgoTrader]📡 Adaptive Momentum Classifier is an overlay indicator that evaluates four independent market dimensions — momentum, trend, volatility position, and money flow — ranks each one against its own historical distribution using percentile scoring, and combines them into a single composite score (0–100%) that drives signal generation. Signals fire only when the composite score crosses a threshold with minimum feature agreement across axes, passes through five independent filters, and is confirmed on bar close. The core idea: instead of using one indicator to generate signals, this tool treats four market dimensions as independent measurement axes, normalizes each to a uniform 0–1 scale via percentile ranking, weights and combines them into a consensus score, and then requires both the score threshold AND a minimum number of agreeing axes before allowing a signal. This multi-axis + agreement gate architecture filters out situations where a single strong reading (e.g., RSI spike) would trigger a false signal while the other dimensions disagree. 🧩 WHY THESE COMPONENTS WORK TOGETHER Traditional signal generators face a fundamental problem: a single indicator measures one market dimension. RSI measures momentum speed but is blind to trend direction. MACD measures trend but ignores where price sits within its volatility envelope. Volume-based indicators measure flow but know nothing about price momentum. Using any one of these alone produces signals that ignore critical market context. Simply combining indicators with AND/OR logic (e.g., "buy when RSI > 50 AND MACD > 0") doesn't solve the deeper problem: the indicators are on different scales, have different distributions, and their raw values aren't comparable. RSI = 55 and MACD histogram = 0.002 both "lean bullish" but you can't meaningfully average them. This indicator solves both problems: Step 1 — Orthogonal axis design: Each axis measures a genuinely different market dimension. Momentum (how fast), Trend (which direction), Volatility Position (where within the range), Flow (where is money going). They are deliberately chosen to be as independent as possible. Step 2 — Percentile normalization: Each axis's raw value is ranked against its own recent history. "Is this RSI-ROC blend reading higher than 75% of the last 89 readings?" This converts every axis to a uniform 0–1 scale where 0.5 = median. Now all four axes are directly comparable and combinable. Step 3 — Weighted consensus: The four normalized scores are combined with weights (Trend 1.2×, Momentum 1.0×, Flow 1.0×, Volatility 0.8×) into a single composite score. The weighting reflects that trend conviction is slightly more predictive than raw momentum. Step 4 — Agreement gate: Even with a high composite score, the signal is blocked unless at least half the axes independently agree (each reading > 0.6 for bullish or < 0.4 for bearish). This prevents one extreme axis from dominating the composite and producing a false consensus. Step 5 — Filter stack: Five independent filters (trend alignment, volatility regime, volume, score acceleration, HTF bias) provide additional context gates. The signal only fires when all enabled filters pass simultaneously. No single component is useful alone. Percentile ranking without multiple axes just normalizes one indicator. Multiple axes without percentile ranking can't be meaningfully combined. A combined score without the agreement gate can be dominated by one outlier. And all of this without filters would still fire in unsuitable market conditions. The full pipeline is required. 🔍 WHAT MAKES IT ORIGINAL 1️⃣ Four-axis percentile scoring engine. Each axis is built from two sub-components blended together, then converted to a 0–1 percentile rank against the scoring lookback window (default 89 bars). The percentile function counts what fraction of historical values are below the current value — producing a uniform distribution with no dead zones (unlike z-score normalization which compresses values near the mean). Axis 1 — Momentum (weight 1.0): Sub-components: RSI(13) centered at 50, and ROC(9). Each is percentile-ranked independently, then blended 60% RSI + 40% ROC. RSI provides stable momentum reading, ROC provides faster reaction to price acceleration. The blend captures both speed (ROC) and sustained momentum (RSI) in a single axis. Axis 2 — Trend (weight 1.2): Sub-components: MACD histogram (12/26/9), and EMA slope normalized by ATR. EMA slope = (EMA − EMA ) / (ATR × 5), making it scale-independent across instruments. Each percentile-ranked, blended 60% MACD + 40% slope. MACD histogram captures momentum of the trend itself (acceleration), while EMA slope captures sustained directional movement. This axis receives the highest weight (1.2) because directional conviction is the strongest single predictor of continuation. Axis 3 — Volatility Position (weight 0.8): Sub-components: Bollinger %B (21-period, showing where price sits within the band envelope, 0 = lower band, 1 = upper band), and ATR expansion ratio (current ATR / SMA of ATR over lookback). Combined as: (BB%B − 0.5) × min(ATR_ratio, 2.5), then percentile-ranked. This creates a directional volatility signal: price at upper band during volatility expansion scores high (strong bullish breakout), price at upper band during contraction scores lower (potential mean-reversion). The ATR ratio is capped at 2.5 to prevent extreme volatility spikes from distorting the axis. Lower weight (0.8) reflects that volatility position is a confirming factor, not a primary driver. Axis 4 — Flow (weight 1.0, auto-disabled without volume): Sub-components: MFI(13) centered at 50, and OBV slope (smoothed OBV EMA(21), slope = (OBV_EMA − OBV_EMA ) / |OBV_EMA|). Each percentile-ranked, blended 50/50. MFI combines price and volume into a single money flow reading, OBV slope shows whether accumulation is accelerating or decelerating. On instruments without volume data (forex), this axis returns 0.5 (neutral) and its weight drops to 0, so the composite score is calculated from three axes only. 2️⃣ Composite score with symmetric thresholds. The four axes are combined: composite = (1.0 × momentum + 1.2 × trend + 0.8 × volatility_position + 1.0 × flow) / total_weight. Result is 0–1 where 0 = maximum bearish consensus, 0.5 = neutral, 1 = maximum bullish consensus. A buy signal fires when the composite crosses above the threshold (default 0.618). A sell signal fires when it crosses below (1 − threshold = 0.382). This creates symmetric entry conditions: the same strength of consensus is required for both directions. 3️⃣ Feature agreement gate. Independent of the composite score, each axis is evaluated for directional agreement: > 0.6 = bullish vote, < 0.4 = bearish vote, 0.4–0.6 = abstain. The agreement ratio = max(bull_votes, bear_votes) / active_axes. Signals require agreement ≥ 0.5 (at least half the axes independently confirming the same direction). This prevents false signals from composite score averaging: if momentum = 0.95 but trend = 0.3 and volatility = 0.4, the composite might cross the threshold but only 1/4 axes agree — signal is blocked. 4️⃣ Score acceleration filter. The rate of change of the composite score: acceleration = score − score . Signals require |acceleration| ≥ Min Score Acceleration (default 0.02). This filters out slow-drift crossovers where the score gradually creeps past the threshold without any decisive move — these typically represent noise, not genuine momentum shifts. Only fast, decisive threshold crosses produce signals. 5️⃣ Five-filter stack. Each filter is independently toggleable: — Trend Alignment (default On): price must be above EMA(50) for longs, below for shorts — prevents counter-trend entries — Volatility Regime (default On): ATR ratio must be between 0.4 and 3.0 — suppresses signals during dead markets (ATR < 40% of average) and crash conditions (ATR > 300% of average) — Volume Confirmation (default On): volume must exceed 80% of its 20-period SMA — confirms market participation. Auto-disabled on instruments without volume data — Score Acceleration (default 0.02): described above. Set to 0 to disable — Higher TF Bias (default disabled): when a timeframe is selected, price must be above/below EMA(21) on the higher timeframe for longs/shorts. Uses + lookahead_on for non-repainting HTF data 6️⃣ Direction lock — no consecutive same-direction signals. After a buy signal fires, the next signal can only be a sell (and vice versa). This prevents signal clustering where multiple buy signals fire in sequence during a strong trend — you get one entry per direction until the trend reverses. 7️⃣ Four sensitivity presets. Each preset overrides two parameters simultaneously: — Conservative : threshold 0.80, lookback 150 — requires very strong consensus over a long history, fewer but higher-conviction signals — Default : uses your manual settings (threshold 0.618, lookback 89) — Aggressive : threshold 0.60, lookback 60 — lower bar for signals, shorter history, faster adaptation — Scalping : threshold 0.55, lookback 40 — minimum consensus required, very short history, designed for 1–5M charts The lookback affects all four axes simultaneously (percentile ranking window), so the entire scoring engine adapts as a unit. 8️⃣ Dynamic trend band. A visual EMA ± 0.5× ATR band colored by the composite score: green (score > 55%), red (< 45%), yellow (neutral). This provides an at-a-glance trend context without needing to read the dashboard. The band width adapts to volatility automatically. 9️⃣ Signal strength classification. Each signal is classified based on the composite score at the moment of firing: Strong (score ≥ 85%), Medium (≥ 75%), Weak (< 75%). Displayed in the dashboard and available in alert messages. This helps you size positions or filter setups based on conviction level. ⚙️ HOW IT WORKS — CALCULATION FLOW Step 1 — Raw feature calculation: RSI(13), ROC(9), MACD(12/26/9) histogram, EMA slope (normalized by ATR), BB%B(21), ATR ratio, MFI(13), OBV slope — eight raw values computed from price and volume. Step 2 — Percentile ranking: Each raw value is ranked against its own history over the scoring lookback (default 89 bars). The pctRank function iterates through the lookback window and counts what fraction of past values are below the current value. Result: 0.0 (lower than all history) to 1.0 (higher than all history). This normalization is performed for each of the eight sub-components independently. Step 3 — Axis blending: Each pair of sub-components is blended into one axis score: momentum = 0.6 × pctRSI + 0.4 × pctROC, trend = 0.6 × pctMACD + 0.4 × pctSlope, volatility = pctVolPosition (single combined raw), flow = 0.5 × pctMFI + 0.5 × pctOBV. Step 4 — Weighted composite: composite = (1.0 × momentum + 1.2 × trend + 0.8 × volatility + 1.0 × flow) / total_weight. On instruments without volume: flow weight = 0, total_weight = 3.0 instead of 4.0. Step 5 — Threshold crossing: Buy triggers when composite crosses above the threshold (default 0.618) from below. Sell triggers when composite crosses below (1 − 0.618 = 0.382) from above. Both require barstate.isconfirmed. Step 6 — Agreement check: Each axis is independently classified as bullish (> 0.6), bearish (< 0.4), or neutral. At least 50% of active axes must agree with the signal direction. Step 7 — Filter stack: All five enabled filters must pass. Any failure blocks the signal. Step 8 — Direction lock: Signal must be opposite to the last confirmed signal. Step 9 — Emission: Buy (▲) or Sell (▼) label placed on the confirmed bar. 📖 HOW TO USE 🎯 Quick start: 1. Add the indicator to your chart 2. Select a sensitivity preset matching your style (or use Default) 3. The trend band immediately shows the current momentum bias (green/red/yellow) 4. Wait for a ▲ (buy) or ▼ (sell) label — check the dashboard for score and strength 5. Use the agreement ratio (e.g., 3/4) to confirm multi-axis consensus 👁️ Reading the chart: — 🟢 Green trend band = bullish momentum (score > 55%) — 🟡 Yellow trend band = neutral / transition zone — 🔴 Red trend band = bearish momentum (score < 45%) — 🟢 ▲ label below bar = confirmed buy signal — 🔴 ▼ label above bar = confirmed sell signal — Band width = current volatility (wider = more volatile) 📊 Dashboard fields: — Trend: current composite direction (Bullish / Bearish / Neutral) — Last Signal: most recent signal with bars elapsed — Strength: signal quality (Strong / Medium / Weak) — Score: current composite as percentage — Agreement: how many axes confirm (e.g., 3/4) — Volatility: ATR regime (High / Normal / Low) — TF and version 🔧 Tuning guide: — Too many signals: increase threshold (0.70–0.85), enable more filters, use Conservative preset — Too few signals: decrease threshold (0.55–0.60), reduce lookback (50–70), use Aggressive preset — Signals too late: shorten RSI/ROC/MACD lengths, reduce lookback — Too many false signals in ranging markets: enable ADX-aware Volatility Regime filter, increase Min Score Acceleration to 0.03–0.05 — Scalping 1–5M: use Scalping preset (threshold 0.55, lookback 40), lower filter aggressiveness — Swing 4H–1D: use Conservative preset (threshold 0.80, lookback 150), enable HTF bias filter ⚙️ KEY SETTINGS REFERENCE ⚙️ Main: — Sensitivity Preset (default Default): Conservative / Default / Aggressive / Scalping — Scoring Lookback (default 89): percentile ranking window — higher = more stable, lower = faster adaptation — Signal Threshold (default 0.618): minimum composite score for buy signals (sell = 1 − threshold) 📊 Feature Engine: — RSI Length (default 13) / ROC Length (default 9): momentum axis sub-components — MACD Fast/Slow/Signal (default 12/26/9): trend axis MACD — Bollinger Length (default 21): volatility position axis — MFI Length (default 13) / OBV Smooth (default 21): flow axis 🔍 Filters: — Trend Alignment (default On): EMA(34) trend direction gate — Volatility Regime (default On): ATR ratio 0.4–3.0 range gate — Volume Confirmation (default On): volume > 80% of 20-SMA — Min Score Acceleration (default 0.02): minimum speed of score change — Higher TF Bias (default Off): optional HTF EMA(21) alignment 🎨 Visual: — Trend band (EMA ± 0.5× ATR, scored coloring) — Background tint / Dynamic bar coloring (optional) — Auto / Dark / Light theme 🔔 Alerts — 🟢 BUY — ticker, price, timeframe, composite score — 🔴 SELL — same fields Both support plain text and JSON webhook format. Bar-close confirmed, direction-locked (no consecutive same-direction alerts). ⚠️ IMPORTANT NOTES — 🚫 No repainting. All signals require barstate.isconfirmed. HTF bias uses + lookahead_on. A warmup period (max of lookback, MACD slow period, and trend EMA length, minimum 50 bars) prevents signals during insufficient data. — 📐 The composite score is not a probability . A score of 80% means four market dimensions, percentile-ranked against recent history, strongly agree on bullish conditions. It measures consensus quality, not prediction accuracy. — ⚖️ Percentile ranking is relative to the lookback window . A score of 0.9 means "higher than 90% of the last N bars" — it does not mean the same thing on different instruments or timeframes. Each chart creates its own distribution. — 📊 The Flow axis (MFI + OBV) auto-disables on instruments without volume data (many forex pairs). The composite then runs on three axes with adjusted total weight. Signal quality is slightly lower without flow data but the other three axes remain fully functional. — 🔒 Direction lock means you get one signal per trend leg . After a buy, only a sell can fire next. This prevents clustering but means you won't get "add to position" signals — the tool provides one entry per direction. — 🔄 The agreement gate requires ≥ 50% of axes to independently confirm. On 4-axis instruments, this means ≥ 2. On 3-axis (no volume), ≥ 2. This is a deliberately moderate threshold — raising it to 75%+ would make signals extremely rare. — 🛠️ This is a signal and analysis tool , not an automated trading bot. It classifies momentum consensus and generates signals — trade decisions remain yours. — 🌐 Works on all markets and timeframes. Volume-dependent features auto-adapt to available data.
Indicador Pine Script®
por WillyAlgoTrader
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.
Indicador Pine Script®
por WillyAlgoTrader
2
Optimized Buy/Sell Pro + Live Trade DashboardOptimized Buy/Sell Pro + Live Trade Dashboard Active Trade Table: Displays Entry, SL, TP, and Exit Price (if closed). Live R:R Calculation: Shows the math behind the trade while it's running. Automatic Cleanup: The trade table updates to "IDLE" when no trade is active to keep your chart clean. Understanding the Dashboard: Net Profit (R): This is your most important metric. If it says 5.2R, it means even if you only risked $100 per trade, you are up $520. Win Rate: Don't be alarmed if this is below 50%. Because your Risk:Reward is 3.0, you only need a 26% win rate to be profitable! Current State: Quickly tells you if the script is currently managing a trade or waiting for a fresh EMA cross.
Indicador Pine Script®
por demantprasad
Flow EngineFlow Engine Most indicators tell you which direction price is moving. Flow Engine tells you whether to trust it . It does this by combining momentum, volume, trend, and a higher timeframe check all into one pane, plus it draws divergence signals directly on your price chart so you never have to look away. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ WHAT'S ON THE SCREEN ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ The Histogram (the bars) This is the main thing. The height of each bar shows how strong the momentum is. The color tells you the direction — cyan for up, red for down. The part that makes this different is the opacity . If a bar is bright and vivid, it means big volume is behind that move. If a bar looks faded or ghosted, the move happened on low volume and probably won't last. You can see this instantly without checking a separate volume pane. Tall vivid cyan bar = strong upward move with real volume behind it Tall faded cyan bar = price went up but nobody really showed up Same logic applies on the red side The OB/OS Line This line tells you when things are getting stretched too far in one direction. When it goes above +70 — the move is getting overdone on the upside. When it drops below -70 — the selloff is getting overdone. In between — cyan means leaning bullish, red means leaning bearish The Trend Line A slow moving line that tells you what the overall structure looks like on your current timeframe. Lime green above zero — uptrend Soft red below zero — downtrend Think of it as the background context. When this line is green, you want to be looking for longs. When it's red, be careful going long or look for shorts instead. The Background Tint (HTF Bias) A very subtle color behind everything that comes from a higher timeframe — by default the Daily chart. Cyan tint — the daily trend is bullish Red tint — the daily trend is bearish No tint — daily is mixed, no clear direction This is the big picture check. If you are trading a 15 minute chart and the background is red, you know you are going against the daily trend. That doesn't mean you can't trade, but you should be more careful. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ DIVERGENCE SIGNALS ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Divergence is when price and momentum stop agreeing with each other. It usually means the current move is running out of steam. Bearish divergence — price made a higher high but the histogram made a lower high. The rally is weakening. Orange triangle appears above the candle on your price chart. Bullish divergence — price made a lower low but the histogram made a higher low. The selloff is weakening. Green triangle appears below the candle on your price chart. You also get a dashed line drawn on the Flow Engine pane connecting the two points so you can see exactly where the divergence happened. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ SETTINGS ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Momentum Length (14) — how many bars the momentum calculation looks back. Lower number reacts quicker but gives more false signals. Higher number is slower but cleaner. Volume MA Length (20) — the average used to judge whether current volume is high or low. Leave this at default unless you have a reason to change it. Overbought Level (70) — where the OB/OS line turns orange. Lower this if you want earlier warnings. Oversold Level (-70) — where the OB/OS line turns green. Change this together with the overbought level. Trend Length (50) — how slow the trend line moves. Higher number = smoother line. Pivot Lookback Left & Right (5) — controls how strict the divergence detection is. Raise both to 8 or 10 if you are getting too many signals. Lower to 3 if you want more. HTF Timeframe (D) — the higher timeframe for the background tint. Set this one step above whatever chart you are on. D = Daily, W = Weekly, 240 = 4 Hour. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ HOW TO USE IT ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Every time you look at the indicator, go through it top to bottom: Check the background tint — what is the daily (or higher TF) saying? Check the trend line — is the current chart agreeing with that? Check the OB/OS line — are we stretched? If yes, don't chase. Check the histogram — is momentum vivid (real) or faded (weak)? The best setup looks like this: Background is cyan + trend line above zero + OB/OS line near oversold + bullish divergence triangle on the chart + histogram bars turning bright cyan When all of that lines up, the move has multiple things confirming it at the same time. That's when you pay attention. A quick tip on the faded bars: Don't get excited about a tall bar if it's faded. Price can move fast on thin volume and snap right back. The vivid bars are the ones that tend to follow through. Which timeframe to set HTF to: Trading 1m or 5m → set HTF to 1H or 4H Trading 15m or 1H → keep HTF on Daily Trading 4H or Daily → set HTF to Weekly ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ GOOD TO KNOW ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Does not repaint — signals are based on confirmed bars only Divergence signals show up a few bars after the actual pivot Looks best on a dark theme
Indicador Pine Script®
por AdarshShrma
Smart Money Failure Detector This indicator identifies moments when price fakes a breakout above a key high or below a key low, only to get violently rejected back inside the range. These are known as liquidity grabs or stop hunts moments where smart money runs retail breakout traders out of their positions before reversing hard in the opposite direction. HOW IT WORKS The indicator defines a dynamic range using a configurable lookback period. When price sweeps above the range high or below the range low but closes back inside with a strong reversal body, a rejection wick larger than the body, and a volume spike above average therefore a trap is confirmed. Two trap types are detected: → Single-bar trap — the entire sweep and rejection happens within one candle → Multi-bar trap — price holds outside the range for a few candles before failing and closing back inside with conviction SIGNAL TYPES 🐂 Bull Trap → SHORT Price swept above the high, rejected, and closed bearish. Sellers are now in control. 🐻 Bear Trap → LONG Price swept below the low, rejected, and closed bullish. Buyers absorbed all the selling. WHAT APPEARS ON THE CHART → Triangle marker above or below the trap candle → Background highlight on the trap candle → Dashed stop line plotted at the wick tip → Dashed target line at your chosen Risk:Reward distance → Label showing the exact stop and target price STOP LOSS LOGIC The stop is placed at the extreme of the sweep wick. The high of the trap candle for shorts, the low for longs. If price returns to that level the trap thesis is invalidated. The target is the stop distance multiplied by your R:R setting, default is 2:1. SETTINGS Range Lookback — bars used to define the prior high and low Max Bars to Close Back Inside — how long the multi-bar trap window stays open after a breakout Volume Spike Multiplier — how far above average volume must be to confirm smart money activity Min Body % — minimum body size relative to the full candle range to ensure reversal conviction Min Wick Ratio — minimum rejection wick to body ratio to confirm a hard sweep occurred Risk:Reward Target — how much risk to reward you want RECOMMENDED USAGE Best used on custom Risk:reward and other custom settings as all assets work very different to each other. Please do some backtests before live trading. ─────────────────────────────────────────
Indicador Pine Script®
por AdarshShrma
Vaultfy Sentiment ApexVaultfy Sentiment Apex is a high-precision sentiment oscillator designed to identify market exhaustion zones and trend reversals through a normalized dual-line approach. By analyzing RSI data across customizable timeframes and applying advanced normalization, this indicator tracks the "tug-of-war" between bullish and bearish sentiment, providing clear visual cues when the market reaches overextended levels. How it works: The indicator plots two contrasting sentiment lines: Red Line: Represents the primary sentiment momentum. Green Line: Represents the counter-sentiment momentum. Unlike standard oscillators, Vaultfy Sentiment Apex uses a dynamic normalization window to ensure that the 0-100 scale remains relevant to recent historical price action, rather than static overbought/oversold levels. Key Features: Exhaustion Zones (95 & 5): The indicator features static "Warning Zones" at the top (Red, 95-100) and bottom (Green, 0-5). These represent extreme exhaustion. Dynamic Extreme Fill: To keep your chart clean, the area between the lines only highlights when one of the sentiment lines penetrates the 95 or 5 levels. This instantly alerts you to high-probability reversal or cooling-off zones. Multi-Timeframe Engine: Built-in MTF capability allows you to track Monthly or Weekly sentiment while trading on lower timeframes. Customizable Smoothing: Dual EMA smoothing (RSI and Final) allows you to filter out market noise and focus on the core trend. Usage Tips: Sentiment Extremes: When the dynamic fill appears in the Top Red Zone, the market is heavily overextended to one side—watch for a potential top or consolidation. Sentiment Extremes: Conversely, a fill in the Bottom Green Zone suggests the sentiment has hit a floor, often preceding a bounce or trend shift. Crossovers: Watch for the Green and Red lines crossing as early signals of momentum shifts within the neutral 5-95 range.
Indicador Pine Script®
por Vaultfy
TP-Trend中文 【原理概要】 本指标跳出了传统“仅依赖收盘价”的局限，采用典型价格 $HLC/3$ 作为底层数据源。通过对均线进行二阶平滑处理（EMA of EMA），能比传统双均线更早地发现趋势转折，同时有效过滤震荡市的假突破。 【核心功能】 双重平滑逻辑：$X_2$为典型价格的 6 周期平滑， $X_3$为其二阶 5 周期平滑，捕捉动能加速度。 视觉增强系统： 自动为 K 线着色。红色/棕色代表多头波段，绿色代表空头波段。 信号确认： 亮黄色（Buy）与深蓝色（Sell）柱体精准标记趋势引爆点。 零未来函数： 算法完全基于时序历史数据，信号不漂移，可直接用于实盘参考。 【使用建议】建议配合大周期趋势或成交量指标使用。在日线级别捕捉波段主升浪效果最佳。 English This script utilizes Typical Price ($HLC/3$) instead of standard Close prices to provide a more holistic view of market value. By applying a dual-smoothing EMA process, it identifies trend shifts with reduced lag while maintaining high sensitivity. Trend Coloring: Bars change color based on momentum (Red for Bullish, Green for Bearish). Actionable Signals: Distinct Yellow (Buy) and Blue (Sell) highlights on crossover bars. No Repaint: Purely mathematical approach based on historical data.
Indicador Pine Script®
por william_wq
Z-Score Predictive Zones [AlgoPoint]Z-Score Predictive Zones This indicator is an advanced evolution of the classic Z-Score (Standard Score) oscillator. Unlike traditional Z-Score indicators that use static overbought/oversold levels (e.g., +2.0 or -2.0), this script utilizes a dynamic memory system to identify where the market statistically tends to reverse based on recent history. It provides a dual-view system: it displays the oscillator in the bottom pane and simultaneously projects those statistical extremes onto the main chart as Predictive Support and Resistance Zones. 1. Underlying Concept & Math The core calculation is based on the Standard Score formula: Z = (Price - Mean) / Standard Deviation - Adaptive Thresholds : The script detects pivot points (peaks and troughs) in the Z-Score history. It stores the most recent reversals (based on user-defined depth) and calculates the average level where the market has historically reversed. - Reverse Engineering (Price Projection) : The script takes these average Z-Score reversal levels and reverse-engineers the formula to find the corresponding price on the main chart: Projected Price = Mean + (Target Z * Standard Deviation) - Noise Reduction : The raw Z-Score is smoothed using a Volume Weighted Moving Average (VWMA) to reduce false signals. 2. Key Features Dynamic Predictive Zones (Main Chart): - Red Zone (Resistance) : Represents the price area where the Z-Score hits its historical average peak. - Green Zone (Support) : Represents the price area where the Z-Score hits its historical average trough. Note: These zones expand and contract based on market volatility (Standard Deviation). Dual Visualization: - Bottom Pane : Shows the Z-Score oscillator with the calculated dynamic steps. - Main Chart : Uses force_overlay=true to draw the corresponding price channels directly on the candles, allowing for real-time price action analysis. - RSI Gradient Coloring : The oscillator line changes color based on RSI (Relative Strength Index) values to provide additional momentum context (Purple/Blue gradients). - Signal Dots : Plots small circles on the main chart when the price enters these extreme statistical zones, indicating a potential mean reversion opportunity. 3. How to Use This indicator is best used for Mean Reversion strategies. - Potential Short : When price enters the Red Zone (Upper Channel) and a red dot appears, the price is statistically overextended relative to its recent volatility profile. - Potential Long : When price enters the Green Zone (Lower Channel) and a green dot appears, the price is statistically undervalued relative to the mean. - Trend Warning : If the price candles close forcefully beyond these zones and the zones begin to widen rapidly, it may indicate a breakout or a strong trend initiation rather than a reversal. 4. Settings - Z-Score Length : The lookback period for the Mean and Standard Deviation. - Lookback Depth : How many past reversal points the script should "remember" to calculate the average zones. - Reversal Thresholds : The minimum Z-Score value required to register a peak or trough as a valid data point. - Visuals : Toggle signal dots on/off.
Indicador Pine Script®
por Iamalala
Neural Probability Channel [AlgoPoint]The Neural Probability Channel (NPC) is a next-generation volatility and trend analysis tool designed to overcome the limitations of traditional bands (like Bollinger Bands) and smoothing filters (like standard Moving Averages). Unlike traditional indicators that rely on linear deviation or simple averages, the NPC utilizes a Rational Quadratic Kernel—a concept derived from machine learning regression models—to calculate a non-repainting, highly adaptive baseline (Fair Value). This allows the indicator to distinguish between market noise and genuine trend shifts with superior accuracy. The volatility bands are dynamically calculated using a hybrid of Standard Error (Mean Deviation) and ATR, ensuring the channels adapt organically to market conditions—expanding during high-impact moves and contracting during consolidation. How It Works - The Neural Baseline (Center Line): Instead of a standard Moving Average, the NPC uses a Rational Quadratic Kernel weighting system. This assigns "importance" to price data based on both recency and similarity. It acts as a "Center of Gravity" for price, providing a smoother yet responsive trend detection line without the lag associated with SMAs or EMAs. Crucially, the math is causal (no lookahead), meaning it does not repaint. - Adaptive Volatility Bands: The channel width is not fixed. It uses a Hybrid Volatility Model: - Inner Channel: Represents the "Probability Zone" (approx. 70% confidence). Price staying here indicates a stable trend. - Outer Channel: Represents "Extreme Deviation" (Statistical Anomalies). When price touches or breaches these outer bands, it is statistically overextended (Overbought/Oversold). Signal Generation: - Reversion Signals: Generated when price breaches the Outer Bands and closes back inside. This suggests a "Snap-back" or Mean Reversion event. - Trend Confirmation: The color of the baseline and the fill zones changes based on the slope of the Kernel, giving an instant visual read on market bias. How to Use It - Mean Reversion Strategy: Look for price action extending beyond the Outer Bands (Thinner lines). If price leaves a wick and closes back inside, it signals a high-probability reversal toward the Neural Baseline. - Green Signal: Potential Long (Reversal from Lows). - Red Signal: Potential Short (Reversal from Highs). - Trend Following: Use the Neural Baseline (Thick Center Line) as a dynamic support/resistance level. If price is holding above the baseline and the cloud is green, the trend is Bullish. If price is holding below the baseline and the cloud is red, the trend is Bearish. - Squeeze Detection: When the Inner and Outer bands compress significantly, it indicates low volatility and often precedes an explosive breakout. Settings - Lookback Window: Determines the depth of the Kernel analysis. - Smoothness (Bandwidth): Higher values create a smoother baseline (better for trends), while lower values make it more reactive (better for scalping). - Regression Alpha: Controls the weight distribution of the Kernel. - Channel Multipliers: Adjust the width of the Inner and Outer bands to fit your specific asset's volatility profile.
Indicador Pine Script®
por Iamalala
10
Root Deviation Loop | Lyro RSThe Root Deviation Loop indicator is a multi-mode trend signal tool that detects price momentum and breakout conditions using Root Mean Square Deviation (RMSD) instead of standard deviation. It provides a flexible framework for analyzing market conditions through three distinct signal generation methods: Bollinger Band-style deviation, a loop-based scoring system, and a hybrid combined signal. These modes help highlight trend continuation or reversal zones with a focus on smoothing out noise and avoiding extreme outlier effects. Indicator Modes Bollinger-Style RMSD Bands This mode plots upper and lower volatility bands using RMSD around a selected moving average. RMSD is used instead of standard deviation for a more stable measurement of price dispersion. The formula for the bands is: Upper Band = Moving Average + (RMSD × Multiplier) Lower Band = Moving Average − (RMSD × Multiplier) The bands dynamically expand and contract based on market volatility. Crossovers above or below these bands are used to signal trend shifts or breakouts. For-Loop Momentum Scoring This mode calculates a loop-based trend score by comparing the RMSD-weighted source to its historical values within a defined range. The loop evaluates the directional bias of price changes: If the current value is greater than past values, it adds to the score. If it is lower, it subtracts from the score. This produces a net momentum score used to determine bullish or bearish dominance. RMSD Weighted Source = (Price × RMSD) / RMSD Score = Sum over loop: (src > src ) ? +1 : -1 Combined Signal This mode merges the outputs of the Bollinger RMSD and For-Loop modes. It averages both signals into a single composite score. A long or short signal is generated based on whether the combined score crosses above or below user-defined thresholds. Signal Interpretation In the Bollinger Bands mode, signals are generated based on price interaction with the RMSD bands: A long signal occurs when price crosses above the upper RMSD band A short signal occurs when price crosses below the lower RMSD band No signal is produced when price remains between bands These signals suggest potential breakout points when price momentum exceeds recent volatility-defined boundaries. ⚠️Disclaimer This indicator is a technical analysis tool and does not guarantee results. It should be used in conjunction with additional analysis methods and proper risk management strategies. The creators of this indicator are not responsible for any financial decisions made based on its signals.
Indicador Pine Script®
por LyroRS
2
Mean Deviation Loop | Lyro RSThe MAD Bollinger Bands + Loops is a sophisticated technical analysis tool designed to identify and quantify market trends by combining dynamic moving averages with robust statistical dispersion measures. This indicator employs a multi-model approach, integrating Bollinger-style MAD bands, for-loop momentum scoring, and a hybrid signal system to provide traders with adaptive insights across varying market conditions. Indicator Modes Bollinger-Style MAD Bands This mode calculates dynamic volatility bands around price using Mean Absolute Deviation (MAD) instead of standard deviation or RMSE. MAD offers a smoother and more outlier-resistant measure of price dispersion. Upper Band = Dynamic Moving Average + (MAD × Multiplier) Lower Band = Dynamic Moving Average − (MAD × Multiplier) These bands expand and contract with market volatility, helping to identify potential breakout and breakdown zones with reduced sensitivity to extreme price spikes. For-Loop Momentum Scoring Momentum is evaluated by analyzing recent price behavior through a loop-based comparison system applied to a MAD-weighted price series. A rising momentum score indicates strengthening bullish pressure A declining momentum score signals increasing bearish dominance This method emphasizes directional consistency rather than short-term noise. Hybrid Combined Signal This mode combines the outputs of the MAD Bands and For-Loop Momentum Scoring into a unified directional signal. +1 indicates bullish conditions (green) −1 indicates bearish conditions (red) An average of these scores is calculated to generate a combined signal, providing a clearer and more reliable indication of overall market trend. Practical Application Signal Interpretation A buy signal is generated when both the MAD Bands and For-Loop Momentum align bullishly. A sell signal is generated when both components align bearishly. Trend Confirmation The Hybrid Combined Signal serves as a confirmation layer, helping traders validate trend direction and reduce the likelihood of false signals during choppy or low-volatility conditions. ⚠️ Disclaimer This indicator is a technical analysis tool and does not guarantee results. It should be used in conjunction with additional analysis methods and proper risk management strategies. The creators of this indicator are not responsible for any financial decisions made based on its signals.
Indicador Pine Script®
por LyroRS
16
Volatility Momentum Suite | Lyro RSVolatility Momentum Suite is an advanced momentum and volatility-based oscillator designed to deliver a complete view of trend strength, acceleration, and market extremes in a single pane. By combining rate-of-change smoothing, adaptive moving averages, standard deviation bands, and momentum acceleration, the indicator provides clear structural insight into trend continuation, exhaustion, and potential reversals. Built with multiple display and signal modes, it adapts seamlessly to both trend-following and mean-reversion workflows while maintaining strong visual clarity. Key Features Momentum Core (Smoothed RoC) The foundation of the indicator is a Rate of Change (RoC) calculation applied to a selectable price source. This RoC is smoothed using one of 14+ moving average types, including EMA, HMA, KAMA, FRAMA, JMA, and more, allowing precise control over responsiveness versus smoothness. Standard Deviation Bands Dynamic deviation bands are calculated around the smoothed momentum line using rolling standard deviation. Two band layers are plotted: Inner bands for early expansion signals Outer bands for extreme conditions These bands adapt automatically to volatility, highlighting momentum expansions, compressions, and exhaustion zones. Momentum Acceleration A dedicated acceleration line measures the momentum of momentum itself. This helps identify: Early trend ignition Momentum deceleration before reversals Continuation strength during expansions Acceleration smoothing and MA type are fully configurable. Multi-Mode Signal System Trend Mode Colors momentum and price according to position above or below the zero line, emphasizing directional bias and trend continuation. Heikin Ashi Candles Mode Applies Heikin Ashi logic directly to the momentum series, filtering noise and revealing smoother trend transitions through candle structure. Extremes Mode Detects statistically extreme momentum conditions beyond outer deviation bands. Signals are only confirmed after a Heikin Ashi momentum flip, reducing premature reversal entries. Histogram Mode Displays the difference between momentum and its signal line as a histogram, useful for divergence spotting and momentum shifts. Histogram & Signal Line An EMA signal line is applied to the smoothed momentum, producing a histogram that visually tracks momentum expansion, contraction, and directional changes with adaptive coloring. Visual Customization Choose from multiple predefined color palettes: Classic Mystic Accented Royal Or define your own bullish and bearish colors. Additional visual features include: Momentum-colored candles Heikin Ashi momentum candles Band shading and fills Optional zero-line reference Integrated Status Table A built-in table summarizes the real-time state of: Trend bias Heikin Ashi momentum direction Extreme overbought / oversold conditions This allows rapid decision-making without needing to interpret every visual element manually. How It Works Momentum Calculation Computes Rate of Change on the selected source and smooths it using the chosen moving average. Volatility Structure Builds adaptive deviation bands from rolling standard deviation of the momentum line. Acceleration Layer Measures the rate of momentum change to detect early shifts in strength. Mode-Dependent Logic Trend mode focuses on directional bias HA mode smooths momentum structure Extremes mode filters reversals using volatility and HA confirmation Histogram mode emphasizes momentum differentials Signals & Alerts Automatic alerts trigger on: Momentum crossing above or below zero Heikin Ashi momentum flips Confirmed overbought and oversold extremes Practical Use Trend Confirmation: Sustained momentum above zero with expanding bands supports trend continuation. Reversal Identification: Momentum pushing beyond outer bands followed by HA confirmation often precedes reversals. Momentum Quality: Acceleration helps distinguish strong breakouts from weakening moves. Multi-Timeframe Alignment: Use higher timeframes for bias and lower timeframes for precision entries using the same indicator. Customization Adjust RoC length and smoothing for sensitivity Tune band length and multipliers for volatility conditions Select display and signal modes based on strategy type Fully customize colors to match your chart environment ⚠️ Disclaimer This indicator is a technical analysis tool and does not guarantee results. It should be used alongside other forms of analysis and proper risk management. The author assumes no responsibility for trading decisions made using this indicator.
Indicador Pine Script®
por LyroRS
Deviation Momentum For Loop | Lyro RSThe Deviation Momentum For Loop is a directional momentum tool that evaluates the persistence of price deviation from a moving average over a historical range using a custom loop-based scoring function. It quantifies relative momentum strength by comparing current deviation to previous values, assigning a net score used to assess trend bias, reversals, and volatility-adjusted strength. Key Features Deviation-Based Momentum: Calculates standardized deviation from a selected moving average by subtracting the MA from price and normalizing via standard deviation and a scaling constant. This standardization adjusts for volatility and creates a consistent scoring base across assets and timeframes. Historical For-Loop Scoring: Implements a user-defined for-loop function that compares current deviation to values from earlier bars (configurable range). Each comparison adds or subtracts from a cumulative score based on whether current deviation exceeds historical ones, producing a dynamic momentum read. Threshold-Based Signal Logic: Applies user-defined thresholds for long and short signals. If the loop score exceeds the long threshold, a bullish bias is inferred; if it drops below the short threshold, a bearish bias is indicated. These thresholds are plotted for visual clarity. Multi-Palette Visual System: Predefined Palettes – Choose from Classic, Mystic, Accented, or Royal schemes for bullish and bearish colors. Custom Colors – Toggle on custom color selection to manually define bullish (UpC) and bearish (DnC) tones. Dynamic Visuals – Oscillator line, threshold markers, background shading, bar and candle coloring are applied in real time based on trend state . Glow and Overlay Effects: Layered glow lines and optional bar/candle coloring reinforce signal strength and trend status directly on the chart. Built-In Alerts: Provides alert conditions when the for-loop score crosses above or below the defined thresholds, enabling automated monitoring of trend conditions. How It Works MA Calculation – Applies the selected moving average to the chosen price source (e.g., close, open, high). Offers 16 moving average types including SMA, EMA, WMA, TEMA, JMA, FRAMA, ZLSMA, KAMA, and others via the LyroRS/LMAs/1 library. Deviation Computation – Measures the deviation of price from its moving average, normalized by standard deviation and scaled by a fixed constant factor to account for volatility. Loop Function – Iterates from user-defined indices (From → To) and compares current deviation to past deviations. Increments score for each instance where current > past, decrements when current < past. The resulting value is plotted as the primary oscillator. Signal Logic – Long and short threshold values are configurable inputs. Crossing above the long threshold signals bullish bias; crossing below the short threshold signals bearish pressure. Color Coding & Visual Feedback Palette or custom colors reflect oscillator's directional state. Additional glow lines increase signal emphasis. Background shading highlights crossovers with mid-threshold for enhanced visibility. Optional bar and candle coloring aligns price visualization with indicator signals. Practical Use Momentum Confirmation – Use a score rising above the long threshold as a potential bullish signal; falling below the short threshold may indicate bearish strength. Volatility Normalization – Standardized deviation ensures consistency across assets of different volatility profiles. Multi-Timeframe Adaptation – The wide selection of moving averages and loop depth settings allows calibration for scalping, swing, or long-term analysis. Visual Clarity – Color-coordinated candles, bars, oscillator lines, and background simplify interpretation of signal context and trend structure. Customization Select from 16 moving average types to control sensitivity and smoothing. Adjust loop depth (From/To) to define how far back deviation is compared. Set custom threshold levels to reflect your preferred sensitivity to momentum shifts. Customize visuals with predefined palettes or manual color settings for full chart integration. ⚠️Disclaimer This indicator is a tool for technical analysis and does not provide guaranteed results. It should be used in conjunction with other analysis methods and proper risk management practices. The creators of this indicator are not responsible for any financial decisions made based on its signals.
Indicador Pine Script®
por LyroRS
Alpha Hunter Integrated MACD & Oscillator [wjdtks255]Indicator Title: Alpha Hunter Integrated MACD & Oscillator Pro Short Description A high-precision hybrid oscillator that integrates MACD dynamics with a secondary-smoothed histogram to eliminate market noise and capture trend reversals with minimal lag. Detailed Description Overview The Alpha Hunter Integrated MACD & Oscillator is designed to overcome the inherent lag of standard MACD indicators. By applying an exponential moving average (EMA) filter to the histogram itself and incorporating a momentum direction check, this tool identifies high-probability entry points while filtering out "whipsaws" commonly found in choppy markets. Key Technical Pillars Dual-Smoothed Histogram: Unlike standard oscillators, this script smooths the raw histogram values using a secondary filtering period. This reveals the true underlying momentum before price action fully shifts. Momentum Directional Filter: Entry signals are only triggered when the MACD line’s slope aligns with the crossover, ensuring you don't enter against a stalling trend. Dynamic Trend Clouds: The visual fill between the MACD and Signal lines acts as a "Trend Cloud," providing immediate visual feedback on the strength and duration of the current trend. The Winning Trading Strategy (How to Use) To maximize win rates, it is highly recommended to use this indicator as a Confirmation Oscillator alongside a Long-term Trend Filter (like a 200 EMA) on your main chart. 1. Long Setup (Buy) Context: Price must be trading above the 200 EMA on the main chart. Signal: A green "BUY" triangle and label appear on the oscillator. Confirmation: The Histogram should be green and rising. Exit: Exit at a pre-defined Take Profit (TP) box or when a bearish MACD crossunder occurs. 2. Short Setup (Sell) Context: Price must be trading below the 200 EMA on the main chart. Signal: A red "SELL" triangle and label appear on the oscillator. Confirmation: The Histogram should be red and falling. Exit: Exit at the designated Stop Loss (SL) or when a bullish MACD crossover occurs. Input Parameters & Optimization Fast/Slow/Signal: Default 12, 26, 9. (Standard for most markets). Signal Smoothing: Set to 5 for a balance of speed and reliability. Increase to 8+ for swing trading on higher timeframes. Recommended Timeframes: 15m, 1h, and 4h for the best signal-to-noise ratio. Author's Note This indicator is a "No-Repaint" script. Signals are confirmed at the close of the candle to ensure reliability during live trading. Always use proper risk management.
Indicador Pine Script®
por wjdtks255
5
Adaptive Trend Envelope [BackQuant]Adaptive Trend Envelope Overview Adaptive Trend Envelope is a volatility-aware trend-following overlay designed to stay responsive in fast markets while remaining stable during slower conditions. It builds a dynamic trend spine from two exponential moving averages and surrounds it with an adaptive envelope whose width expands and contracts based on realized return volatility. The result is a clean, self-adjusting trend structure that reacts to market conditions instead of relying on fixed parameters. This indicator is built to answer three core questions directly on the chart: Is the market trending or neutral? If trending, in which direction is the dominant pressure? Where is the dynamic trend boundary that price should respect? Core trend spine At the heart of the indicator is a blended trend spine: A fast EMA captures short-term responsiveness. A slow EMA captures structural direction. A volatility-based blend weight dynamically shifts influence between the two. When short-term volatility is low relative to long-term volatility, the fast EMA has more influence, keeping the trend responsive. When volatility rises, the blend shifts toward the slow EMA, reducing noise and preventing overreaction. This blended output is then smoothed again to form the final trend spine, which acts as the structural backbone of the system. Volatility-adaptive envelope The envelope surrounding the trend spine is not based on ATR or fixed percentages. Instead, it is derived from: Log returns of price. An exponentially weighted variance estimate. A configurable multiplier that scales envelope width. This creates bands that automatically widen during volatile expansions and tighten during compression. The envelope therefore reflects the true statistical behavior of price rather than an arbitrary distance. Inner hysteresis band Inside the main envelope, an inner band is constructed using a hysteresis fraction. This inner zone is used to stabilize regime transitions: It prevents rapid flipping between bullish and bearish states. It allows trends to persist unless price meaningfully invalidates them. It reduces whipsaws in sideways conditions. Trend regime logic The indicator operates with three regime states: Bullish Bearish Neutral Regime changes are confirmed using a configurable number of bars outside the adaptive envelope: A bullish regime is confirmed when price closes above the upper envelope for the required number of bars. A bearish regime is confirmed when price closes below the lower envelope for the required number of bars. A trend exits back to neutral when price reverts through the trend spine. This structure ensures that trends are confirmed by sustained pressure rather than single-bar spikes. Active trend line Once a regime is active, the indicator plots a single dominant trend line: In a bullish regime, the lower envelope becomes the active trend support. In a bearish regime, the upper envelope becomes the active trend resistance. In neutral conditions, price itself is used as a placeholder. This creates a simple, actionable visual reference for trend-following decisions. Directional energy visualization The indicator uses layered fills to visualize directional pressure: Bullish energy fills appear when price holds above the active trend line. Bearish energy fills appear when price holds below the active trend line. Opacity gradients communicate strength and persistence rather than binary states. A subtle “rim” effect is added using ATR-based offsets to give depth and reinforce the active side of the trend without cluttering the chart. Signals and trend starts Discrete signals are generated only when a new trend regime begins: Buy signals appear at the first confirmed transition into a bullish regime. Sell signals appear at the first confirmed transition into a bearish regime. Signals are intentionally sparse. They are designed to mark regime shifts, not every pullback or continuation, making them suitable for higher-quality trend entries rather than frequent trading. Candle coloring Optional candle coloring reinforces regime context: Bullish regimes tint candles toward the bullish color. Bearish regimes tint candles toward the bearish color. Neutral states remain visually muted. This allows the chart to communicate trend state even when the envelope itself is partially hidden or de-emphasized. Alerts Built-in alerts are provided for key trend events: Bull trend start. Bear trend start. Transition from trend to neutral. Price crossing the trend spine. These alerts support hands-off trend monitoring across multiple instruments and timeframes. How to use it for trend following Trend identification Only trade in the direction of the active regime. Ignore counter-trend signals during confirmed trends. Entry alignment Use the first regime signal as a structural entry. Use pullbacks toward the active trend line as continuation opportunities. Trend management As long as price respects the active envelope boundary, the trend remains valid. A move back through the spine signals loss of trend structure. Market filtering Periods where the indicator remains neutral highlight non-trending environments. This helps avoid forcing trades during chop or compression. Adaptive Trend Envelope is designed to behave like a living trend structure. Instead of forcing price into static rules, it adapts to volatility, confirms direction through sustained pressure, and presents trend information in a clean, readable form that supports disciplined trend-following workflows.
Indicador Pine Script®
por BackQuant
12
VWAP + EMA9 With SignalsThis script is for scalping on the 5 minute timeframe. It contains signals that indicate intersection of VWAP by the EMA9. It contains Buy signals when a candle closes above both lines indicating a quick continuation of a long position (quick scalp) as well as Sell signals when a candle closes below both lines indicating a quick continuation of a short position (quick scalp). Please note that i do not recommend entries at Buy and Sell signals during Accumulation/Consolidation. Positions should be taken with volume.
Indicador Pine Script®
por tlc_futures_trader
25