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QTP - Stoch MTFQTP - Stoch MTF ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🔬 Overview The QTP Stoch MTF is a professional multi-timeframe Stochastic oscillator that delivers clean, filtered crossover signals directly onto your price chart. It runs a fully configurable %K/%D Stochastic in a lower panel with the ability to pull data from any higher timeframe — and projects buy/sell arrows on the main chart so your price action stays uncluttered. An optional second Stochastic on an independent timeframe can be overlaid for dual-timeframe confluence analysis. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚙️ Signal Modes ◆ Strict Cross Mode — %K must be past the overbought or oversold level AND cross %D to trigger. This filters out weak mid-range crossovers and only fires at genuine exhaustion points where momentum is reversing from an extreme. Produces fewer, higher-quality signals. ◆ Any Cross Mode — Fires on every %K/%D crossover regardless of whether the stochastic is at an extreme level. Faster entries, useful in strong trending conditions where price doesn't always reach the OB/OS zones before reversing. Both modes can be enabled simultaneously with independent toggle controls for arrows and background highlights. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🎯 Key Features ◆ Multi-Timeframe Stochastic — Use the current chart resolution or select any custom timeframe. A 5-minute chart can display a 1-hour or daily stochastic for higher-timeframe context without switching charts. ◆ Optional 2nd Stochastic Overlay — Independent length, smoothing, and timeframe settings. Overlay a daily stochastic alongside a 1-hour stochastic to spot confluence zones where both timeframes agree. ◆ Main Chart Signal Arrows — Green triangle below bar for bullish crossovers, red triangle above bar for bearish crossovers. Plotted directly on the price chart using force overlay — no separate indicator needed for signal visibility. ◆ Background Highlights — Color-coded background flashes on cross events for instant visual scanning across the oscillator panel. Toggle independently for strict and any-cross modes. ◆ OB/OS Zone Fill — Shaded region between the upper and lower threshold lines with configurable levels and optional midline. Quickly identify when the stochastic is in the danger zone. ◆ Fully Configurable — Adjust Length, Smooth K, Smooth D, upper line, lower line, and midline independently for both the main and 2nd stochastic. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📐 How To Use Add the indicator to your chart — the oscillator appears in a lower panel, buy/sell arrows appear automatically on the price chart. For swing trading, use the default settings (14, 3, 3) on a higher timeframe like 1H or 4H. Strict cross mode will filter signals to only fire at OB/OS extremes. For scalping, shorten the length (7-9) and use Any Cross mode for faster signal generation on 1m-5m charts. Enable the 2nd Stochastic for confluence — for example, set the main stochastic to your chart timeframe and the 2nd to the Daily. When both align in the same direction, signal conviction is highest. Use background highlights for quick scanning across multiple assets — a green or red flash instantly draws your eye to a fresh crossover event. The strict cross filter is recommended for most traders. It requires %K to be past the OB/OS threshold before the crossover counts, eliminating the choppy mid-range signals that cause false entries in sideways markets. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📊 Settings Overview ◆ Main Stochastic — Length, Smooth K, Smooth D ◆ Levels — Upper line (default 80), Lower line (default 20), Mid line toggle ◆ Main Timeframe — Current chart or custom timeframe ◆ 2nd Stochastic — Independent length, smoothing, and timeframe ◆ Display — Toggle background highlights and signal arrows independently for strict and any-cross modes ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚠️ Disclaimer This indicator is a technical analysis tool designed to assist with market analysis. It does not constitute financial advice. Past performance is not indicative of future results. Always use proper risk management and perform your own due diligence before making trading decisions. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Pine Script® indicator
by QTP-CB
QTP - Stochastic RSIQTP - Stochastic RSI ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🔬 Overview The QTP Stochastic RSI applies a Stochastic oscillator to RSI values rather than raw price — producing a faster, more sensitive momentum reading that catches overbought and oversold conditions earlier than either indicator alone. Designed with a high-contrast dark panel and electric blue/hot pink color scheme for instant visual clarity during fast-moving markets. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚙️ How It Works The indicator first calculates a standard RSI over a configurable period, then runs a Stochastic calculation on that RSI output. This double-processing amplifies momentum shifts — the Stochastic RSI reaches 0 and 100 far more frequently than a standard RSI, making it more responsive to turning points. The %K line (electric blue) represents the smoothed Stochastic of RSI. The %D line (hot pink) is a moving average of %K, acting as a signal line. Crossovers between %K and %D at overbought or oversold extremes mark potential reversal zones. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🎯 Key Features ◆ RSI-Based Stochastic — Stochastic calculation applied to RSI values instead of price, producing a more sensitive and earlier-reacting oscillator ◆ Independent Length Controls — RSI Length and Stochastic Length are configured separately, giving full control over the indicator's responsiveness and smoothing ◆ Smoothed %K and %D Lines — Adjustable K and D smoothing factors to tune signal quality from aggressive (low smoothing) to conservative (high smoothing) ◆ High-Contrast Dark Panel — Black background fill between the OB/OS bands creates a clean, high-visibility display that stands out on any chart theme ◆ Electric Blue / Hot Pink Color Scheme — Purpose-chosen colors that are visually distinct from each other and from standard chart elements, reducing eye strain during extended sessions ◆ Configurable Levels — Upper band, lower band, and middle reference line are all adjustable inputs — not hardcoded — so you can fine-tune thresholds to match your trading style ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📐 How To Use Add the indicator to your chart — it appears in a separate lower panel with a dark background for contrast. Watch for %K (blue) crossing above %D (pink) below the lower band — this signals a potential bullish reversal from oversold conditions. Watch for %K (blue) crossing below %D (pink) above the upper band — this signals a potential bearish reversal from overbought conditions. Crossovers in the middle zone (20-80) indicate momentum shifts but carry less conviction than crosses at the extremes. For scalping and intraday, lower the RSI Length and Stochastic Length (e.g. 7/7) for faster signals. For swing trading, keep the defaults (14/14) or increase for smoother readings. Adjust the K and D smoothing to control noise — lower values (1-2) give raw, fast signals while higher values (5-7) produce cleaner but slower crossovers. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📊 Settings Overview ◆ K Smoothing — Smoothing applied to the raw Stochastic of RSI (default: 3) ◆ D Smoothing — Signal line smoothing applied to %K (default: 3) ◆ RSI Length — Lookback period for the underlying RSI calculation (default: 14) ◆ Stochastic Length — Lookback period for the Stochastic applied to RSI (default: 14) ◆ RSI Source — Price source for RSI calculation (default: close) ◆ Upper Band — Overbought threshold (default: 80) ◆ Middle Band — Neutral reference line (default: 50) ◆ Lower Band — Oversold threshold (default: 20) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚠️ Disclaimer This indicator is a technical analysis tool designed to assist with market analysis. It does not constitute financial advice. Past performance is not indicative of future results. Always use proper risk management and perform your own due diligence before making trading decisions.
Pine Script® indicator
by QTP-CB
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.
Pine Script® indicator
by WillyAlgoTrader
4
Apex Market Breadth Oscillator [Pineify]Apex Market Breadth Oscillator The Apex Market Breadth Oscillator is a composite market-internal momentum tool that blends Advance/Decline Issue Breadth with Up/Down Volume Breadth into a single, smoothed oscillator — giving traders a unified view of how broadly the market is participating in a move. Rather than relying on price action of a single index, this indicator looks beneath the surface by measuring both the percentage of stocks advancing and the percentage of volume flowing into advancing stocks, then combining them into one reading. The oscillator is built on the Whaley Breadth Thrust methodology and incorporates Martin Zweig's classic breadth thrust threshold (61.5) as a key reference level. An EMA-smoothed composite line is paired with an SMA signal line for crossover-based timing, while gradient coloring and zone-based buy/sell signals help traders quickly identify oversold recoveries, overbought exhaustion, and rare breadth thrust events that have historically preceded major bull market advances. Key Features Composite breadth oscillator — merges Advance/Decline Issue Breadth (ADT) and Up/Down Volume Breadth (UDT) into a single reading that captures both stock participation and capital flow direction. Whaley Breadth Thrust methodology — calculates the percentage of advancing issues and advancing volume relative to their totals, providing a normalized 0–100 scale for cross-market comparison. EMA-smoothed oscillator with SMA signal line — the composite is smoothed via EMA for noise reduction while retaining responsiveness; an SMA signal line provides crossover-based momentum shift detection. Martin Zweig's breadth thrust threshold — the 61.5 level marks the historically significant thrust zone where breadth surges have preceded powerful multi-month rallies. Zone-based buy/sell signals — buy signals fire only in oversold territory (below 40), sell signals fire only in overbought territory (above 61.5), filtering out low-conviction crossovers in the neutral zone. Dynamic gradient coloring — the oscillator line transitions smoothly from red (oversold) to green (overbought) based on its position between the 40 and 61.5 levels, providing an instant visual read on market health. Breadth thrust event labels — rare "THRUST" labels mark the moment the oscillator crosses above 61.5, highlighting high-conviction bullish impulse events. Multi-exchange support — toggle between NYSE and NASDAQ breadth data to analyze large-cap or growth/tech-weighted market internals. How It Works The indicator follows a four-stage calculation pipeline to transform raw market breadth data into actionable signals: Data sourcing: Four breadth series are pulled from the selected exchange (NYSE or NASDAQ) — advancing issues, declining issues, advancing volume, and declining volume. These are standard USI (US Indices) breadth tickers that represent the internal composition of the market on each bar. Breadth ratio calculation: Two normalized ratios are computed. The Advance/Decline Thrust (ADT) measures the percentage of advancing issues relative to total issues: ADT = 100 × advancing / (advancing + declining). The Up/Down Volume Thrust (UDT) applies the same formula to volume: UDT = 100 × up volume / (up volume + down volume). Both ratios range from 0 to 100, where 50 represents equilibrium. Composite smoothing: ADT and UDT are averaged to create a raw composite that reflects both issue participation and volume participation. This raw composite is then smoothed with an Exponential Moving Average (EMA) of configurable length (default: 10). The EMA removes bar-to-bar noise while preserving the oscillator's ability to react quickly to genuine breadth shifts. Signal line generation: A Simple Moving Average (SMA) of the smoothed composite (default length: 5) serves as the signal line. Crossovers between the faster EMA-smoothed composite and the slower SMA signal line identify momentum inflection points, which are then filtered by zone (oversold or overbought) to produce the final buy and sell signals. Trading Ideas and Insights Oversold recovery entries: When the oscillator drops below 40, the market is experiencing broad-based selling — most stocks are declining and declining volume dominates. A buy signal (composite crossing above the signal line while below 40) captures the early momentum shift as breadth begins recovering. These signals identify potential bottoms where risk/reward is most favorable. Overbought exhaustion exits: When the oscillator rises above 61.5, the market is experiencing an exceptionally broad advance. A sell signal (composite crossing below the signal line while above 61.5) identifies the moment breadth momentum starts fading after an extreme surge. This can be used to take profits or tighten stops on long positions. Breadth thrust confirmation: The "THRUST" label marks the rare event where the oscillator surges past 61.5. Historically, Zweig Breadth Thrusts — where breadth rapidly transitions from oversold to above the thrust threshold — have preceded significant market gains over the following 6–12 months. These events can be used as high-conviction confirmation for establishing or adding to long-term positions. Divergence analysis: When a major index makes new highs but the Apex Breadth Oscillator fails to confirm (lower highs on the oscillator), it signals narrowing participation — fewer stocks are driving the rally. This breadth divergence is a classic warning sign of potential market weakness ahead. Equilibrium as a trend filter: Sustained readings above 50 indicate healthy broad market participation; sustained readings below 50 suggest internal weakness even if headline indices appear stable. Use the 50 level as a simple filter — favor long setups when the oscillator is above 50, and exercise caution or favor short setups when below. How Multiple Indicators Work Together The Apex Market Breadth Oscillator integrates several analytical components into a cohesive system, each serving a distinct purpose: Advance/Decline Issue Breadth (ADT) — participation measurement: ADT answers the question "what percentage of stocks are advancing?" This captures the breadth of participation regardless of the size of individual stock moves. A market where 80% of stocks are rising is fundamentally healthier than one where only 20% are rising — even if both scenarios produce the same index return. Up/Down Volume Breadth (UDT) — capital flow measurement: UDT answers the question "what percentage of volume is flowing into advancing stocks?" This adds a volume-weighted dimension that ADT alone cannot provide. High UDT values indicate that institutional-scale capital is flowing into advancing stocks, not just a large number of small-cap stocks ticking higher on minimal volume. EMA composite smoothing — noise reduction: Averaging ADT and UDT and applying EMA smoothing transforms two noisy daily breadth readings into a single, clean oscillator. The EMA's exponential weighting ensures recent breadth conditions have more influence than older ones, keeping the oscillator responsive to current market dynamics. SMA signal line — timing mechanism: The SMA signal line adds a crossover-based timing layer. While the composite oscillator tells you the current state of market breadth, the signal line crossovers tell you when that state is changing — identifying the inflection points where breadth momentum is shifting from deteriorating to improving (or vice versa). The synergy is sequential: raw breadth data (issues + volume) → normalized ratios (ADT + UDT) → blended composite → EMA smoothing → SMA signal line → zone-filtered crossover signals. Each layer refines the raw data further, producing signals that require both broad market participation AND volume confirmation AND momentum shift AND extreme positioning to trigger — a multi-filter approach that dramatically reduces false signals compared to using any single breadth measure alone. Unique Aspects Dual-breadth composite: Most breadth oscillators use either issue breadth or volume breadth in isolation. The Apex Market Breadth Oscillator combines both into a single composite, ensuring that signals reflect genuine broad-based market moves backed by volume — not just a large number of stocks ticking marginally higher on thin volume. Zweig-inspired threshold levels: The 61.5 thrust level is not an arbitrary overbought line — it is derived from Martin Zweig's Breadth Thrust indicator, one of the most historically reliable bullish signals in market analysis. The 40 oversold level provides the corresponding floor, creating a framework rooted in decades of market research. Zone-filtered signals: Rather than generating signals on every crossover (which would produce many false signals in the neutral 40–61.5 zone), the indicator restricts buy signals to oversold territory and sell signals to overbought territory. This zone-based filtering ensures signals only fire at extreme readings where the probability of a meaningful reversal is highest. Gradient color mapping: The oscillator line uses a continuous gradient from red to green mapped to the 40–61.5 range, rather than a simple binary color switch. This provides an intuitive, at-a-glance reading of where the oscillator sits within the oversold-to-overbought spectrum without needing to check exact values. How to Use Add the indicator to your chart. It appears in a separate pane below the price chart, displaying the composite breadth oscillator, signal line, and three reference levels (40, 50, 61.5). Select your preferred exchange — NYSE for large-cap/value-oriented breadth analysis, or NASDAQ for tech/growth-weighted breadth analysis. The choice depends on which market segment you are trading or want to monitor for confirmation. Monitor the oscillator's color: red tones indicate the oscillator is near or below the oversold zone (40), suggesting broad market weakness. Green tones indicate the oscillator is near or above the overbought/thrust zone (61.5), suggesting strong broad participation. Watch for BUY signals (green triangles at the bottom) — these appear when the oscillator crosses above its signal line while in oversold territory (below 40). Consider entering long positions or adding to existing ones. Watch for SELL signals (red triangles at the top) — these appear when the oscillator crosses below its signal line while in overbought territory (above 61.5). Consider taking profits or tightening stops on long positions. Pay special attention to THRUST labels (green labels at the bottom) — these mark the rare event where the oscillator surges above 61.5. Historically, these breadth thrust events have preceded significant multi-month market advances and represent high-conviction bullish confirmation. Use the 50 equilibrium level as a simple trend filter — sustained readings above 50 indicate healthy market internals; sustained readings below 50 suggest underlying weakness. Compare the oscillator's trajectory with the price index for divergence analysis — if the index makes new highs but the oscillator does not, breadth is narrowing and caution is warranted. Customization Market Exchange (default: NYSE): Selects which exchange's breadth data to use. NYSE breadth reflects large-cap, broad market participation. NASDAQ breadth is more sensitive to technology and growth stock activity. Choose based on your trading focus or use both in separate indicator instances for a complete picture. Oscillator Smoothing (default: 10): Controls the EMA period applied to the raw composite. Lower values (e.g., 5–7) produce a more volatile, responsive oscillator that generates more signals — suitable for short-term trading. Higher values (e.g., 15–21) produce a smoother oscillator with fewer but more reliable signals — suitable for swing or position trading. Signal Line Length (default: 5): Controls the SMA period of the signal line. Shorter values make the signal line track the oscillator more closely, triggering crossovers sooner but with more potential for whipsaws. Longer values add lag but filter out minor fluctuations, producing more deliberate crossover signals. Conclusion The Apex Market Breadth Oscillator provides a comprehensive, under-the-hood view of market health by combining issue breadth and volume breadth into a single composite oscillator. Rooted in the Whaley Breadth Thrust methodology and incorporating Martin Zweig's historically significant thrust threshold, the indicator goes beyond surface-level price analysis to reveal whether rallies and declines are supported by broad participation and institutional volume. Its zone-filtered buy/sell signals, gradient color mapping, and rare breadth thrust labels give traders a structured, evidence-based framework for identifying high-probability turning points and confirming the strength of market moves. Whether used as a standalone market timing tool or as a confirmation layer alongside price-based indicators, the Apex Market Breadth Oscillator delivers actionable insights into the true breadth and conviction behind market movements.
Pine Script® indicator
by Pineify
Divergence Confirmation System [JOAT]Divergence Confirmation System Introduction The Divergence Confirmation System (DCS) is an advanced open-source multi-oscillator divergence detection indicator that combines RSI, MFI, Stochastic, MACD, CCI, and Stochastic RSI analysis to identify high-probability divergence setups through systematic pivot comparison and multi-oscillator confirmation. This indicator reveals when price action diverges from underlying momentum across six independent oscillators, providing traders with early warning signals of potential trend reversals or continuations through rigorous confirmation requirements. Unlike basic divergence indicators that rely on a single oscillator, DCS employs a sophisticated 6-oscillator confirmation system that detects both regular divergences (trend reversal signals) and hidden divergences (trend continuation signals) across multiple momentum indicators. The indicator requires minimum oscillator confirmation (default 2/6) to filter false signals and provides divergence strength scoring based on oscillator count, volume confirmation, and price momentum. Why This Indicator Exists This indicator addresses the challenge of identifying reliable divergence signals in noisy market conditions. Single-oscillator divergences often produce false signals, but when multiple independent oscillators confirm the same divergence pattern, probability of successful reversal increases significantly. DCS systematically reveals: 6-Oscillator Analysis: RSI, MFI, Stochastic, MACD, CCI, Stochastic RSI for comprehensive momentum assessment Regular Divergence Detection: Price makes new high/low but oscillators don't confirm (reversal signal) Hidden Divergence Detection: Price makes higher low/lower high but oscillators show opposite (continuation signal) Multi-Oscillator Confirmation: Requires 2+ oscillators to agree before generating signal Divergence Strength Scoring: 0-100% score based on oscillator count, volume, and momentum Multi-Timeframe Divergence: Confirms divergences on higher timeframe for added conviction Divergence Clustering: Detects multiple divergences in short period indicating strong reversal potential Each component provides unique intelligence. Multiple oscillators reduce false signals, regular divergences show reversals, hidden divergences show continuations, strength scoring quantifies quality, MTF confirmation adds conviction, and clustering shows intensity. Core Components Explained 1. Multi-Oscillator Divergence Detection System DCS calculates six independent oscillators and detects divergences on each: // RSI float rsi = ta.rsi(close, rsi_period) float rsi_high = ta.pivothigh(rsi, pivot_left, pivot_right) float rsi_low = ta.pivotlow(rsi, pivot_left, pivot_right) // MFI (Money Flow Index - volume-weighted RSI) float mfi = ta.mfi(hlc3, mfi_period) // Stochastic float stoch_k = ta.stoch(close, high, low, stoch_period) // MACD Histogram = ta.macd(close, macd_fast, macd_slow, macd_signal) // CCI (Commodity Channel Index) float cci = ta.cci(close, 20) // Stochastic RSI float rsi_for_stoch = ta.rsi(close, rsi_period) float stoch_rsi_k = ta.stoch(rsi_for_stoch, rsi_for_stoch, rsi_for_stoch, stoch_period) Each oscillator provides independent momentum perspective. RSI shows price momentum, MFI adds volume weighting, Stochastic shows position in range, MACD shows trend momentum, CCI shows deviation from mean, and Stochastic RSI shows RSI momentum. 2. Regular Divergence Detection (Reversal Signals) Regular bullish divergence occurs when price makes lower low but oscillator makes higher low: f_detect_bull_regular_div(float osc_val, float osc_pivot) => bool detected = false if not na(osc_pivot) and not na(price_low) and array.size(price_lows) >= 2 float curr_price = array.get(price_lows, last_idx) float prev_price = array.get(price_lows, prev_idx) // Price makes lower low, oscillator makes higher low if curr_price < prev_price and osc_pivot > osc_pivot if (bar_index - prev_bar) <= max_pivot_distance detected := true detected Regular bearish divergence occurs when price makes higher high but oscillator makes lower high. These signal potential trend reversals. 3. Hidden Divergence Detection (Continuation Signals) Hidden bullish divergence occurs when price makes higher low but oscillator makes lower low: f_detect_bull_hidden_div(float osc_val, float osc_pivot) => bool detected = false if detect_hidden and not na(osc_pivot) and not na(price_low) float curr_price = array.get(price_lows, last_idx) float prev_price = array.get(price_lows, prev_idx) // Price makes higher low, oscillator makes lower low if curr_price > prev_price and osc_pivot < osc_pivot if (bar_index - prev_bar) <= max_pivot_distance detected := true detected Hidden bearish divergence occurs when price makes lower high but oscillator makes higher high. These signal trend continuation after pullback. 4. Multi-Oscillator Confirmation Aggregation DCS counts how many oscillators confirm each divergence type: int bull_reg_count = (rsi_bull_reg ? 1 : 0) + (mfi_bull_reg ? 1 : 0) + (stoch_bull_reg ? 1 : 0) + (macd_bull_reg ? 1 : 0) + (cci_bull_reg ? 1 : 0) + (srsi_bull_reg ? 1 : 0) bool confirmed_bull_regular = bull_reg_count >= min_oscillators // Optional volume confirmation float vol_avg = ta.sma(volume, 20) bool vol_confirm = volume > vol_avg * 1.2 bool final_bull_regular = confirmed_bull_regular and (not require_volume_confirm or vol_confirm) Minimum oscillator requirement (default 2/6) filters false signals. Volume confirmation adds additional filter. 5. Divergence Strength Scoring System Strength score (0-100%) calculated from multiple factors: f_divergence_strength(int osc_count, bool vol_confirm_param, float price_momentum) => float score = 0.0 // Oscillator count (0-50 points) score += osc_count * 8.33 // 6 oscillators max = 50 points // Volume confirmation (0-25 points) score += vol_confirm_param ? 25 : 0 // Price momentum (0-25 points) float momentum_score = math.min(math.abs(price_momentum) * 5, 25) score += momentum_score math.min(score, 100) Strength classification: - 75-100%: Very Strong (highest probability) - 60-74%: Strong (high probability) - 40-59%: Moderate (medium probability) - 0-39%: Weak (low probability) 6. Multi-Timeframe Divergence Confirmation DCS checks for divergences on higher timeframe (default 15m): f_get_htf_divergence(string tf) => = request.security(syminfo.tickerid, tf, ) float htf_rsi_high = ta.pivothigh(htf_rsi, pivot_left, pivot_right) float htf_rsi_low = ta.pivotlow(htf_rsi, pivot_left, pivot_right) bool htf_bull = f_detect_bull_regular_div(htf_rsi, htf_rsi_low) bool htf_bear = f_detect_bear_regular_div(htf_rsi, htf_rsi_high) bool mtf_bull_confirmed = final_bull_regular and htf_bull_div bool mtf_bear_confirmed = final_bear_regular and htf_bear_div MTF confirmation significantly increases signal reliability. 7. Divergence Clustering Detection Clustering identifies multiple divergences in short period: var array div_bars = array.new_int(0) if final_bull_regular or final_bear_regular array.push(div_bars, bar_index) // Count divergences in last 50 bars int recent_div_count = 0 for i = 0 to array.size(div_bars) - 1 int div_bar = array.get(div_bars, i) if bar_index - div_bar <= 50 recent_div_count += 1 bool in_div_cluster = recent_div_count >= 3 string cluster_intensity = recent_div_count >= 5 ? "High" : recent_div_count >= 3 ? "Moderate" : "Low" Clusters indicate strong reversal pressure building. Visual Elements Primary Oscillator Display: User-selectable (RSI/MFI/Stochastic/MACD) with gradient shadow effect Reference Lines: 70 (overbought), 50 (midline), 30 (oversold) Oscillator Histogram: Gradient-colored bars showing oscillator deviation from 50 Background Zones: Cyan for bullish divergence, red for bearish divergence Divergence Labels: "BULL DIV" or "BEAR DIV" with oscillator count (e.g., "4/6") Hidden Divergence Markers: Small "H" circles for hidden divergences Elite Signals: Large labels for 4+ oscillator confirmation with strength >75% MTF Confirmation: Triangle markers when higher timeframe confirms Multi-Oscillator Confirmation: Labels showing oscillator count (e.g., "3/6 CONF") Institutional Flow: "INST BUY/SELL" labels when delta confirms divergence Input Parameters Oscillator Settings: RSI Period: RSI calculation period (default: 14) MFI Period: MFI calculation period (default: 14) Stochastic Period: Stochastic calculation period (default: 14) MACD Fast: MACD fast EMA (default: 12) MACD Slow: MACD slow EMA (default: 26) MACD Signal: MACD signal line (default: 9) Divergence Detection: Pivot Left Bars: Bars to left of pivot (default: 5) Pivot Right Bars: Bars to right of pivot (default: 2) Detect Hidden Divergences: Toggle hidden divergence detection (default: true) Max Pivot Distance: Maximum bars between pivots (default: 60) Confirmation Rules: Minimum Oscillator Confirmation: Required oscillators (default: 2/6) Require Volume Confirmation: Toggle volume filter (default: false) Visualization: Show Divergence Lines: Toggle divergence line drawing (default: true) Show Labels: Toggle divergence labels (default: true) Primary Display: Select oscillator to display (RSI/MFI/Stochastic/MACD) How to Use This Indicator Step 1: Monitor Primary Oscillator Watch selected oscillator (default RSI) for overbought/oversold conditions. Step 2: Wait for Divergence Labels "BULL DIV" or "BEAR DIV" labels appear when 2+ oscillators confirm divergence. Step 3: Check Oscillator Count Higher count = higher probability. 4/6 or better is ideal. Step 4: Assess Divergence Strength Tooltip shows strength percentage. >75% is very strong, >60% is strong. Step 5: Confirm with MTF Triangle markers indicate higher timeframe confirmation - highest probability setups. Step 6: Watch for Elite Signals Large "BULL DIV" or "BEAR DIV" labels with 4+ oscillators and >75% strength are highest conviction. Best Practices Focus on divergences with 3+ oscillator confirmation for best results Regular divergences work best at price extremes (support/resistance) Hidden divergences confirm trend continuation - trade with trend MTF confirmation adds significant edge - wait when possible Divergence clustering indicates strong reversal pressure Volume confirmation reduces false signals but adds lag Elite signals (4+ oscillators, >75% strength) have highest win rate Use cooldown system (15 bars minimum) to avoid overtrading Combine with price action - divergence shows momentum, price shows structure Indicator Limitations Divergence detection requires clear pivot formation - lags by pivot_right bars Multiple oscillators can produce conflicting signals during choppy markets Hidden divergences are less reliable than regular divergences Strength scoring is probabilistic, not deterministic MTF confirmation adds lag but increases reliability Clustering detection has fixed lookback - may miss longer-term patterns Volume confirmation may not work well on illiquid instruments Extreme market conditions can invalidate divergence signals Technical Implementation Built with Pine Script v6 using: 6-oscillator system (RSI, MFI, Stochastic, MACD, CCI, Stochastic RSI) Pivot-based divergence detection with array tracking Regular and hidden divergence algorithms Multi-oscillator confirmation aggregation Divergence strength scoring (oscillator count + volume + momentum) Multi-timeframe security requests for HTF confirmation Divergence clustering detection (50-bar lookback) Signal cooldown system (15 bars minimum) Gradient visualization with dynamic coloring Institutional flow integration (CVD delta analysis) Elite signal filtering (4+ oscillators, >75% strength) The code is fully open-source and can be modified to suit individual trading styles. Originality Statement This indicator is original in its comprehensive multi-oscillator divergence confirmation approach. While individual oscillator divergences are established concepts, this indicator is justified because: It combines 6 independent oscillators (RSI, MFI, Stochastic, MACD, CCI, Stochastic RSI) for robust confirmation The multi-oscillator confirmation system (2-6 required) significantly reduces false signals Divergence strength scoring quantifies setup quality through multi-factor analysis Multi-timeframe divergence confirmation adds conviction layer Divergence clustering detection identifies high-probability reversal zones Integration of institutional flow (CVD delta) with divergence analysis is unique Elite signal filtering (4+ oscillators, >75% strength) isolates highest probability setups Signal cooldown system prevents overtrading while maintaining signal quality Each component contributes unique information: multiple oscillators reduce false signals, regular divergences show reversals, hidden divergences show continuations, strength scoring quantifies quality, MTF confirmation adds conviction, clustering shows intensity, and institutional flow confirms with volume. The indicator's value lies in presenting these complementary perspectives simultaneously with rigorous confirmation requirements. Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice. Divergence signals do not guarantee reversals. Trading involves substantial risk of loss. Past performance does not guarantee future results. Always use proper risk management and never risk more than you can afford to lose. -Made with passion by officialjackofalltrades
Pine Script® indicator
by officialjackofalltrades
Momentum Lifecycle Detector [BullByte]Momentum Lifecycle Detector An early trend detection oscillator that tracks momentum through five lifecycle phases - from birth to death - using DI spread acceleration analysis . Designed to identify momentum ignition before traditional ADX signals, and warn of trend exhaustion before it becomes obvious. WHAT THIS INDICATOR DOES The Momentum Lifecycle Detector (MLD) is a momentum oscillator with integrated trend phase classification. It answers the question every trend trader needs answered: "Where in its life is this momentum right now?" Most trend strength indicators tell you a trend exists after the move is already underway. ADX crossing above 25 is a lagging confirmation. MLD solves this by detecting the birth of momentum at the earliest mathematically identifiable point, then tracking that momentum through five distinct lifecycle phases until it dies. The indicator displays: An ATR-normalized momentum oscillator (the main line you follow) A signal line for crossover analysis A histogram showing momentum-signal divergence A colored lifecycle band showing the current phase Consolidation zone boxes marking coiled energy before breakouts A reversal atmosphere glow when momentum curvature suggests reversal A dashboard summarizing momentum conditions at a glance Adaptive dead zone and choppy market warnings THE PROBLEM THIS SOLVES - WHY TRADERS NEED EARLY TREND DETECTION Traditional ADX tells you a trend is strong when it crosses above 25. By that point, the optimal entry window has often closed. Conversely, ADX gives no clear warning when a trend is dying - it just slowly rolls over after the move has already reversed. The core innovation in MLD is measuring the acceleration of the gap between +DI and -DI. Here is the mathematical logic: Spread = |+DI minus -DI| - How far apart are bullish and bearish pressure? Velocity = Spread minus Spread - Is that gap widening or narrowing? Acceleration = Velocity minus Velocity - Is the widening itself speeding up? When acceleration is positive and velocity is positive while ADX is still low, a new trend is actively forming. This is the mathematical fingerprint of momentum at birth - detectable bars before ADX would give any signal. WHY THESE SPECIFIC COMPONENTS - JUSTIFICATION FOR THE INTEGRATION This indicator combines several analytical methods into a unified lifecycle detection framework. Each component serves a specific, non-redundant purpose. Here is why each exists: Zero-Lag EMA Momentum Oscillator Purpose : The primary visual output traders watch and trade. Method : Difference between fast ZLEMA (default 9) and slow ZLEMA (default 21), divided by ATR, multiplied by 100. Why ZLEMA : Standard EMA lags behind price. ZLEMA compensates by adding the difference between the current price and its lagged value before smoothing. This produces earlier momentum readings without adding noise. Why ATR normalization: Raw price differences are not comparable across instruments. A 5-point move means something different on a $10 stock versus Bitcoin. Dividing by ATR makes oscillator readings universal - a reading of +50 represents the same relative momentum strength on any chart, any timeframe. Gaussian-Weighted Directional Indicators Purpose : Feed responsive directional data into the lifecycle detection engine. Method : Instead of standard Wilder smoothing for +DI and -DI, a Gaussian (bell-curve) decay function applies exponentially more weight to recent bars. The formula is exp(-(n/len)^2). Why Gaussian weighting : Standard DI treats all bars in the lookback equally. A directional move from 14 bars ago counts the same as one happening now. Gaussian decay makes DI inherently more responsive to fresh moves without shortening the period (which would increase noise). ZLEMA-Smoothed ADX Purpose : Trend strength measurement for phase classification. Method : DX calculated from Gaussian-weighted DI values, smoothed with ZLEMA instead of traditional Wilder smoothing. Why ZLEMA-smoothed: Standard Wilder-smoothed ADX is deliberately sluggish by design. For lifecycle detection, we need ADX that responds faster to "waking up" and "rolling over" behaviors that define phase transitions. DI Spread Acceleration Engine Purpose : The core innovation - detects momentum birth before ADX confirms. Method : Calculates the absolute spread between +DI and -DI, derives its velocity (first derivative) and acceleration (second derivative), smooths both with 3-period EMA. Why this matters: This is what differentiates MLD from existing ADX-based tools. Acceleration of the DI spread is a leading indicator. By the time ADX crosses a threshold, spread acceleration has already been positive for multiple bars. This enables IGNITION detection before traditional signals fire. Kaufman Efficiency Ratio Purpose : Regime filter that warns when conditions are choppy. Method : ER = net price movement divided by total price movement. Values near 1.0 mean efficient directional movement. Values near 0.0 mean price went back and forth without progress. Why included: Momentum oscillators generate false signals in ranging markets. When ER is low, ADX is weak, and momentum sits inside the dead zone, the background turns gray - warning traders that conditions do not support directional strategies. Momentum Curvature Analysis Purpose : Early warning of potential reversals via oscillator curvature. Method : Second derivative of momentum (how the slope is changing). When momentum is negative but curving upward (positive curvature with positive slope), bullish pressure is building from underneath before the trend visibly reverses. Strength is normalized against 30-bar standard deviation of curvature. Important : This is purely mathematical curvature of the plotted oscillator. It does not use order flow, volume profile, bid/ask data, or any external source. The term "atmosphere" is a visual metaphor for the glow effect. These components form an integrated pipeline - they are not independent indicators placed on the same pane. The oscillator provides visual momentum reading, Gaussian DI and ZLEMA ADX feed the lifecycle engine, spread acceleration detects phase transitions, ER provides regime context, and curvature adds reversal awareness. Each output feeds downstream components. THE FIVE LIFECYCLE PHASES - DETECTION LOGIC EXPLAINED The lifecycle band at the bottom displays one of five phases. Each has specific mathematical conditions that must all be true simultaneously. A state machine with configurable inertia prevents rapid flickering. IGNITION - Cyan Band Conditions : DI crossover within last N bars (default 4), spread acceleration above threshold (default 0.2), spread velocity above threshold (default 0.3), ADX rising for two consecutive bars. Meaning : Momentum is being born. DI lines just crossed, the gap is accelerating open, ADX is waking. This is the earliest actionable signal. ADX may still be below 20. State machine : IGNITION transitions instantly (1-bar inertia) because early detection speed matters. THRUST - Green or Red Band (direction-coded) Conditions : Past ignition window but within 3x that window, spread velocity above threshold (default 0.5), ADX surged more than threshold (default 1.5) over 3 bars. Meaning : Young trend gaining real power. Spread velocity is high, ADX is confirming with a surge. The trend is no longer hypothesis - it is building strength. State machine : THRUST transitions instantly. PRIME - Deeper Green or Red Band (direction-coded) Conditions : ADX above strong threshold (default 20), ADX either rising or above its signal line, DI spread above minimum (default 10). Meaning : Mature, established trend. Maximum directional strength. Most productive phase - but also where exhaustion can begin. Use trailing stops. State machine : Requires configured inertia (default 2 bars) before transition. FADING - Orange Band Conditions : ADX above strong threshold BUT falling AND below its signal line, OR ADX strong but spread velocity sharply negative (below -0.5). Meaning : Trend is dying. ADX rolling over, DI gap closing. Time to tighten stops, take partials, prepare for next cycle. State machine: Requires configured inertia before transition. DEAD - Dark Gray Band Conditions : None of the above active. Meaning : No meaningful directional momentum. Market ranging, consolidating, or in transition. Directional strategies unlikely to perform well. HOW TO READ THE OSCILLATOR PLOT Momentum Line (thick, color-coded) Bright green : Momentum positive and rising (bullish, strengthening) Faded green : Momentum positive but falling (bullish, weakening) Bright red: Momentum negative and falling (bearish, strengthening) Faded red : Momentum negative but rising (bearish, weakening) Gray : Momentum inside dead zone (noise, not signal) Signal Line (thin orange) EMA of momentum. Crossovers between momentum and signal highlight directional shifts, similar to MACD signal line usage. Momentum-Signal Fill (shaded area between the two lines) Teal shading: Momentum above signal (bullish bias) Maroon shading: Momentum below signal (bearish bias) This fill provides instant visual recognition of which line is dominant. Histogram (vertical columns at zero line) Shows the gap between momentum and signal. Bright columns: Gap expanding (momentum pulling away, trend strengthening) Faded columns: Gap contracting (momentum converging, trend weakening) Green: Momentum above signal. Red: Momentum below signal. Dead Zone (gray horizontal band around zero) Dynamically calculated as a multiple (default 0.5x) of momentum's 50-bar standard deviation. When momentum is inside this zone, directional signals are unreliable - the reading is within normal noise range. Zero Line (dotted horizontal) Momentum above zero: Net bullish pressure Momentum below zero: Net bearish pressure Zero line crosses represent directional bias shifts. CONSOLIDATION ZONES - COILED ENERGY BEFORE BREAKOUTS Yellow boxes appear on the oscillator when momentum energy is coiling - a potential precursor to a strong directional move. Detection Logic Two conditions must be simultaneously true: Histogram (momentum-signal gap) is unusually tight relative to its recent 50-bar standard deviation. Momentum slope is unusually flat relative to its recent 50-bar standard deviation. Both thresholds are adaptive - they automatically adjust to each instrument's typical behavior. This means the indicator detects relative consolidation, not absolute levels, making it equally effective on volatile crypto and stable bonds. Zone Lifecycle New zone starts as dotted-border, light yellow box. If it persists for minimum bar count (default 5), it upgrades to solid-border, brighter yellow - a validated zone. If momentum drifts too far from where zone started (exceeds drift tolerance relative to zone height), the zone is invalidated and deleted. This prevents slow trends from being falsely labeled as consolidation. When zone breaks (convergence conditions end), box color changes based on breakout direction: teal for bullish breakout, maroon for bearish breakout. Only one active zone exists at a time to keep the chart clean. How to Trade It Validated consolidation zones (solid border) represent coiled momentum. Breakouts from these zones, especially when accompanied by IGNITION or THRUST phase, often produce strong directional moves. The breakout color immediately tells you the direction. REVERSAL ATMOSPHERE - CURVATURE-BASED REVERSAL WARNING A soft colored glow appears around the momentum line when mathematical curvature suggests a reversal is forming. How It Works The indicator calculates the second derivative of momentum (curvature - how the slope itself is changing). Bullish reversal detection: Momentum is below zero (bearish), but slope has turned positive (rising), and curvature is positive (the rise is accelerating). This is the mathematical signature of a bottom forming - momentum is still negative but fighting back. Bearish reversal detection: Mirror image. Momentum is above zero, but slope is negative and curvature is negative. A top is forming. Visual Output Green glow: Bullish reversal pressure building Red glow: Bearish reversal pressure building Glow intensity increases with curvature strength, normalized against 30-bar standard deviation Glow width is configurable (default 8 units) Important Clarification This is purely mathematical analysis of the oscillator's own curvature. It does not incorporate order flow data, market depth, bid/ask spreads, or any external data source. The term "atmosphere" is a visual metaphor describing the glow effect, not a claim about market microstructure. CHOPPY MARKET BACKGROUND - REGIME WARNING When three conditions are all simultaneously true, the pane background turns gray: Efficiency Ratio below choppy threshold (default 0.30) ADX below choppy threshold (default 18) Momentum inside dead zone This gray background is a visual warning: "Market conditions are choppy. Momentum signals here are statistically less reliable. Consider waiting for cleaner conditions." DASHBOARD - THE MOMENTUM WEATHER REPORT A compact panel (position and size configurable) displaying five key readings: PHASE Current lifecycle phase name in corresponding color. Instantly shows where momentum is in its lifecycle. BIRTH DI spread acceleration status - is new momentum being created? ACCELERATING (cyan) : Strong positive acceleration, momentum actively being born BUILDING (green) : Moderate positive acceleration QUIET (gray): No significant acceleration DECELERATING (red): Negative acceleration, momentum creation slowing or reversing FLOW Directional bias with magnitude. BULL : Bullish DI dominance. Number is DI spread (gap between +DI and -DI) BEAR : Bearish DI dominance FLAT : Momentum in dead zone, no meaningful directional bias WEATHER Overall assessment combining phase and vitality. FAVORABLE (green): Active phase (IGNITION/THRUST/PRIME) with momentum outside dead zone. Conditions support directional trading. CAUTION (orange): FADING phase, or PRIME with negative spread velocity. Trend may be exhausting. UNFAVORABLE (red): DEAD phase or momentum in dead zone. Avoid directional strategies. PRESSURE Reversal pressure from curvature analysis. BULLISH REV (green): Strong bullish reversal curvature BEARISH REV (red): Strong bearish reversal curvature BUILDING (cyan): Moderate reversal curvature forming NONE (gray): No significant reversal pressure COMPLETE SETTINGS REFERENCE Core Momentum Oscillator Fast ZLEMA Length (default 9): Fast moving average responsiveness. Lower = faster, noisier. Slow ZLEMA Length (default 21): Baseline moving average. Gap between fast and slow produces momentum. Signal Line Length (default 5): Smoothing period for signal line. Momentum Smoothing (default 3): Additional noise reduction on raw momentum. ATR Period (default 14): Normalization period for cross-instrument comparability. Consolidation Zones Show Consolidation Zones (default true): Toggle zone detection. Histogram Sensitivity (default 1.0): How tight momentum-signal gap must be. Lower = stricter. Slope Sensitivity (default 1.0): How flat momentum must be. Lower = stricter. Minimum Bars (default 5): Shortest valid consolidation duration. Drift Tolerance (default 0.4): Maximum directional drift before zone invalidation. Regime Detection Efficiency Ratio Period (default 10): Lookback for price efficiency calculation. ER Smoothing (default 5): Smoothing to prevent rapid regime flipping. Trend Threshold (default 0.4): ER above this = trending market. Dead Zone Multiplier (default 0.5): Standard deviations defining the noise band. Choppy ER Threshold (default 0.30): ER below this contributes to choppy warning. Choppy ADX Threshold (default 18): ADX below this contributes to choppy warning. Momentum Lifecycle Show Lifecycle Band (default true): Toggle the colored phase band. DI Calculation Length (default 14): Period for Gaussian-weighted +DI/-DI. ADX Smoothing (default 14): ZLEMA smoothing on DX. ADX Signal Length (default 5): EMA of ADX for crossover detection. Ignition Window (default 4): Bars after DI cross qualifying for IGNITION. State Inertia (default 2): Bars a phase must persist before official transition. Ignition Accel Threshold (default 0.2): Minimum spread acceleration for IGNITION. Ignition Velocity Threshold (default 0.3): Minimum spread velocity for IGNITION. Thrust Velocity Threshold (default 0.5): Minimum spread velocity for THRUST. ADX Surge Threshold (default 1.5): Minimum ADX rise over 3 bars for THRUST. ADX Strong Threshold (default 20): ADX above this = strong trend (PRIME/FADING). DI Spread Minimum (default 10): Minimum DI gap for PRIME confirmation. Reversal Atmosphere Show Reversal Atmosphere (default true): Toggle the curvature glow effect. Glow Width (default 8): Visual width of atmospheric glow. Cosmetic only. Display Show Histogram (default true): Toggle momentum-signal histogram. Show Momentum-Signal Fill (default true): Toggle shaded area between lines. Show Choppy Background (default true): Toggle gray background warning. Dashboard Show Dashboard (default true): Toggle the weather report panel. Dashboard Position (default Top Right): Panel location on chart. Dashboard Size (default Small): Text size in panel. Alerts Alert on Ignition (default true): Notify when entering IGNITION phase. Alert on Fading (default true): Notify when entering FADING phase. Confirm on Bar Close (default true): Wait for bar close before firing alerts. Prevents false signals from intra-bar noise. ALERTS Two alert conditions target the most actionable lifecycle transitions: IGNITION Onset Fires when lifecycle enters IGNITION phase. Alert message includes directional bias (Bullish/Bearish), current ADX value, and how many bars since DI cross. FADING Onset Fires when lifecycle enters FADING phase. Alert message includes ADX value and current spread velocity. Bar Close Confirmation When enabled (default), alerts only fire after the bar closes. This prevents false alerts triggered by intra-bar price spikes that later reverse. Recommended to keep enabled for reliable signals. RECOMMENDED TIMEFRAMES AND INSTRUMENTS MLD works across all timeframes and instruments due to ATR normalization. Default settings optimized for: Daily and 4-hour charts. For lower timeframes (15m, 5m): Consider increasing Momentum Smoothing to 5 and State Inertia to 3 to filter noise. For weekly charts: Default settings work without adjustment. For highly volatile instruments (crypto, small caps): The adaptive thresholds automatically adjust. No manual tuning typically required. For low-volatility instruments (bonds, some forex pairs): Consider reducing Dead Zone Multiplier to 0.3 for more sensitivity. PRACTICAL EXAMPLE - MOMENTUM LIFECYCLE IN ACTION Consider a stock range-bound for weeks. ADX reads 12. Traditional trend tools show nothing actionable. Then +DI crosses above -DI. ADX is still 12. No traditional signal. But MLD detects that the DI spread is accelerating - the gap is not just opening, it is opening faster each bar. ADX has risen for two consecutive bars (waking up). The lifecycle band turns cyan: IGNITION. The dashboard shows BIRTH: ACCELERATING, WEATHER: FAVORABLE. Over the next few bars, spread velocity increases. ADX surges upward. The band turns green: THRUST. The trend is confirmed and building. ADX crosses above 20, continues rising, spread stays wide. Band turns deeper green: PRIME. This is the productive phase. Eventually ADX peaks, starts falling, drops below its signal line. Spread velocity turns negative. Band turns orange: FADING. Dashboard shows WEATHER: CAUTION. Time to trail stops tightly. ADX falls back below 20, momentum enters dead zone. Band turns gray: DEAD. The lifecycle is complete. The value: MLD flagged IGNITION several bars before ADX would have signaled anything. It flagged FADING while ADX was still technically strong but deteriorating. This is the early detection advantage. Chart Example 1: BTC/USDT 5-minute is showing a classic FADING lifecycle : a bullish thrust peaked around 13:00–14:00, entered a validated consolidation zone, and is now visibly breaking down. The momentum line is curving sharply downward inside the yellow box, the band is orange (FADING), and FLOW has flipped to BEAR 17.9 : confirming the consolidation resolved bearishly, not bullishly. The earlier cyan IGNITION flash (~14:30) failed to sustain, overwhelmed by the dominant fading structure. The dashboard reads WEATHER: CAUTION, PRESSURE: NONE : no reversal energy building yet. Chart Example 2: BTC/USDT 15-minute is in DEAD phase with WEATHER: UNFAVORABLE : no tradeable momentum present. The dashboard tells the complete story: FLOW is FLAT meaning neither bulls nor bears have directional control, and PRESSURE is NONE meaning no reversal energy is building beneath the surface either. Despite BIRTH showing ACCELERATING, without flow direction or reversal pressure to back it up, the acceleration has no confirmed destination yet. Stand aside and wait for the lifecycle band to shift out of DEAD before committing. WHAT MAKES THIS INDICATOR ORIGINAL The originality lies in three specific innovations not present in standard ADX/DI implementations or common momentum oscillators: DI Spread Acceleration Analysis Standard tools measure the DI spread itself or track ADX thresholds. MLD applies derivative analysis - velocity and acceleration - to the spread, transforming a traditionally lagging measurement into a leading indicator of trend formation. Gaussian-Weighted DI Calculation Standard DI uses Wilder smoothing with equal weight to all bars. Gaussian decay weighting makes DI inherently more responsive to recent directional moves without the noise penalty of shorter periods. Five-Phase Lifecycle Classification with Inertia-Gated State Machine Rather than binary trend/no-trend output, MLD maps momentum onto a lifecycle model with distinct phases and specific mathematical criteria. The state machine prevents flickering while allowing speed-critical states (IGNITION, THRUST) to transition immediately. These are integrated innovations, not independent indicators on the same pane. Each feeds into the lifecycle engine or provides context for its output. DISCLAIMER This indicator performs mathematical calculations on price data (open, high, low, close) only. It does not use order flow data, volume profile, market depth, bid/ask information, institutional positioning data, or any external data source. Terms like "momentum birth," "reversal atmosphere," "weather," and " lifecycle " are descriptive metaphors for mathematical concepts (derivatives, curvature, efficiency ratios, state classification). They are not claims about market microstructure or participant behavior. No indicator predicts future price movement. MLD identifies mathematical conditions historically associated with specific momentum behaviors. These conditions may or may not produce expected outcomes in any given instance. This tool supplements - it does not replace - a complete trading plan including risk management, position sizing, and multiple forms of analysis. Always use proper risk management. Past indicator behavior does not guarantee future results.
Pine Script® indicator
by BullByte
10
SMT Divergence Strength Index [Metrify]This indicator detects SMT-style divergence between the chart symbol and a user-defined reference symbol, then filters those divergence events using a statistical strength condition. The goal is to separate ordinary pivot mismatches from divergence events that occur during unusually large relative movement between the two instruments. It combines three components in one script: pivot-based divergence detection, Z-score normalization of momentum spread, and a correlation plot for context. The output is an oscillator panel (Z-score columns + correlation line) plus optional SMT labels/lines drawn on the main chart. SMT divergence logic (structural layer) The structural part of the script is based on confirmed pivots on the main symbol. For bearish SMT detection, the script checks whether the main symbol forms a higher high while the reference symbol (evaluated at the same pivot event point) forms a lower high relative to the previous corresponding pivot event. For bullish SMT detection, it checks whether the main symbol forms a lower low while the reference symbol forms a higher low Reference symbol and inversion The Reference Symbol (Pairing) input defines the market used for comparison. The usefulness of the divergence output depends heavily on this pairing. The script assumes the comparison is meaningful enough that non-confirmation between the two symbols can be interpreted as a potential imbalance or relative weakness/strength event. The 'Invert Correlation' option transforms the reference data by using reciprocal values before the divergence and correlation calculations. This can be used when analyzing pairs that are expected to move inversely (like alt to btc in specific event), so the comparison orientation better matches the intended relationship. Invert Correlation mode (what it does and why it exists) The Invert Correlation option changes how the reference symbol is transformed before all downstream calculations (pivot comparison, momentum spread, Z-score, and correlation plot). When enabled, the script does not compare the main symbol to the raw reference prices. Instead, it compares against the reciprocal form of the reference series: reference high is transformed using 1 / low reference low is transformed using 1 / high reference close is transformed using 1 / close This inversion is used so that an inversely related market can be analyzed in the same directional framework as a positively correlated one. In practical terms, it converts an opposite direction relationship into a comparable orientation for SMT logic. After inversion, moves that would normally appear opposite can be interpreted as if they were aligned, allowing the same higher-high / lower-high and lower-low / higher-low SMT structure rules to be applied consistently. Conceptually, invert mode is useful when your reference asset is expected to move opposite to the main asset and you want the script to evaluate non-confirmation in a unified SMT framework. It does not automatically improve signal quality, but simply changes the orientation of the comparison so the divergence logic matches the relationship you are trying to study. Use normal mode when the pair is usually expected to move in the same direction. Use invert mode when the pair is usually expected to move in opposite directions (or when your analysis framework treats one as a risk-off mirror of the other). Good inversion-pair examples (practical) 1) Risk asset vs Dollar Index (DXY) This is one of the cleanest concepts for inversion. BTCUSD vs DXY ETHUSD vs DXY OIL VS DXY NASDAQ (NDX / US100) vs DXY Gold vs DXY (often inverse, but can break regime) When DXY rises, risk assets often weaken. Inverting DXY makes the reference move in the same orientation as the risk asset. 2) Equity index vs VIX Very common inverse relationship idea. SPX / ES / NQ vs VIX BTC (sometimes) vs VIX as a broader risk proxy (less direct, more regime dependent) Why inversion helps: VIX is typically "fear up when equities down". Inverted VIX can be used as a proxy for risk-on alignment. 3) USD-quoted asset vs USD strength proxy If your main symbol is sensitive to USD strength: XAUUSD vs DXY EURUSD vs DXY GBPUSD vs DXY AUDUSD vs DXY These are classic macro pairings where inversion often makes analytical sense. 4) Some commodity currencies vs commodity / dollar drivers (case-by-case) Examples can work, but are more conditional: USDCAD vs Oil (WTI) (often inverse-ish relationship via CAD/oil linkage) AUDUSD vs Copper (sometimes) NZDUSD vs risk proxy These are not as stable as DXY/VIX examples, so you need to monitor correlation more carefully. Trigger conditions in plain terms A bearish SMT label appears only when all required conditions are satisfied: a confirmed pivot high exists on the main symbol, the current main pivot high is higher than the previous main pivot high, the aligned reference high at the same pivot event is lower than its previous aligned reference high, and the Z-score condition exceeds the configured threshold. A bullish SMT label follows the mirrored condition/vice versa. Display behavior and non-repaint option The indicator uses confirmed pivots, so signals are known only after pivot confirmation. The Non repaint mode setting controls how labels are displayed: Enabled: labels are shown on the trigger/confirmation bar (the bar where the pivot is confirmed and the signal becomes true). Disabled: labels are shifted back to the pivot bar for visual alignment. This setting affects visualization only. It does not change the underlying pivot confirmation process. This indicator marks pivot-based intermarket non-confirmation events that occur during statistically elevated relative dislocation. Pair selection remains a major source of variation in output quality. Weakly related pairs can produce divergence labels that satisfy the script’s rules but are not analytically useful.
Pine Script® indicator
by Metrify
Adaptive Squeeze Momentum Pro [WillyAlgoTrader]Adaptive Squeeze Momentum Pro is a non-overlay oscillator that combines volatility compression detection (squeeze) with an ATR-normalized momentum histogram and built-in divergence scanning — providing three layers of analysis in a single pane: when the market is coiling (squeeze), which direction the energy is building (momentum), and when momentum is diverging from price (divergence warnings). The classic squeeze momentum concept — Bollinger Bands contracting inside Keltner Channels — has been available on TradingView for years. What this indicator adds is an entirely different momentum calculation that is ATR-normalized (making it comparable across instruments and timeframes), a 4-state color-coded histogram that distinguishes between momentum acceleration and deceleration in both directions, automated divergence detection with optional HTF trend filtering, and a preset system tuned for different trading styles. The result is a modernized squeeze oscillator designed for practical trading rather than textbook demonstration. 🔍 WHAT MAKES IT ORIGINAL 1. ATR-normalized momentum oscillator. Most squeeze indicators use a raw linear regression value or simple price-minus-midline for their histogram. This makes the oscillator's scale dependent on the instrument's price level — a reading of 5.0 on BTCUSD means something completely different than 5.0 on EURUSD. This indicator solves that by dividing the raw momentum by the current ATR value, producing a dimensionless oscillator that typically ranges between −3 and +3 regardless of instrument or timeframe. The raw momentum itself is calculated as the distance between price and the average of the highest-high/lowest-low midpoint and an EMA — capturing both range-based and trend-based positioning. An optional EMA smoothing layer (configurable, default 3) reduces noise without excessive lag. 2. EMA-based volatility bands instead of standard Bollinger Bands. The squeeze detection uses an EMA (not SMA) as its basis, paired with standard deviation for the band width. EMA reacts faster to recent price changes than SMA, making the squeeze detection more responsive to volatility shifts — particularly useful on crypto and volatile instruments where compression phases can be short-lived. The ATR channel (replacing the traditional Keltner Channel) uses the same EMA basis. The squeeze fires when the volatility band width is less than the ATR channel width (ratio < 1.0). 3. Tiered squeeze intensity. Instead of a binary on/off squeeze state, the indicator classifies the compression into four tiers based on the ratio between the volatility band width and the ATR channel width: — EXTREME (ratio < 0.5): very tight compression, highest energy buildup — HIGH (ratio < 0.7): significant compression — MID (ratio < 0.9): moderate compression — LOW (ratio < 1.0): mild compression — NONE (ratio ≥ 1.0): no squeeze This lets you distinguish between a mild contraction (which may resolve quietly) and an extreme compression (which is more likely to produce a strong directional move). 4. 4-state histogram coloring. The momentum histogram uses four distinct colors to convey both direction and acceleration: — Bull Strong (bright green): momentum above zero AND rising — bulls are accelerating — Bull Weak (teal): momentum above zero BUT falling — bulls are decelerating, potential topping — Bear Strong (bright red): momentum below zero AND falling — bears are accelerating — Bear Weak (dark red): momentum below zero BUT rising — bears are decelerating, potential bottoming The transition from Strong to Weak (or vice versa) often precedes a zero-line cross, giving an early visual warning of momentum shifts. 5. Automated divergence detection with two modes. The indicator scans for classic divergences between price pivots and momentum pivots: — Bullish divergence : price makes a lower low while momentum makes a higher low — Bearish divergence : price makes a higher high while momentum makes a lower high Two detection modes are available: — Early mode (default): divergence is labeled on bar close at the pivot with zero right-side confirmation bars — fastest detection, may occasionally produce false signals — Confirmed mode : requires N confirmation bars on the right side of the pivot (same as the lookback length) — more reliable, but delayed Divergence lines are drawn on the oscillator connecting the two momentum pivots, and optional overlay labels are placed directly on the price chart (using force_overlay) so you can spot divergences without switching panes. 6. HTF trend filter for divergences. An optional higher-timeframe filter compares a 21-period EMA to a 50-period EMA on the selected HTF (default 60min). When enabled, bullish divergences are only shown when the HTF trend is bullish (fast EMA > slow EMA), and bearish divergences only when HTF is bearish. The HTF data uses the standard non-repainting pattern ( + lookahead_on). This filter reduces counter-trend signals that divergences often produce. ⚙️ HOW IT WORKS Squeeze detection: On each bar, the script calculates two band widths: — Volatility band width = StdDev(source, length) × multiplier × 2, centered on an EMA — ATR channel width = ATR(length) × multiplier × 2 The squeeze ratio = volatility width / ATR width. When this ratio falls below 1.0, volatility bands are inside the ATR channel — the market is in a squeeze. The tier is determined by how far below 1.0 the ratio is. Momentum calculation: — Midpoint 1: (highest high over N bars + lowest low over N bars) / 2 — Midpoint 2: EMA(source, N) — Combined midpoint: average of Midpoint 1 and Midpoint 2 — Raw momentum: source − combined midpoint — Normalized momentum: raw momentum / ATR(N) — Final momentum: EMA(normalized momentum, smoothing) if smoothing > 1, else raw normalized This approach blends range-based positioning (where is price within the recent range) with trend-based positioning (where is price relative to the EMA), then normalizes by ATR so the oscillator is instrument-agnostic. Divergence detection: The script uses ta.pivotlow() and ta.pivothigh() on both the momentum oscillator and price (low/high). For each new momentum pivot, it compares against the previous stored pivot. A bullish divergence is detected when the current price pivot low is lower than the previous one, but the current momentum pivot low is higher. Bearish divergence is the mirror. In Early mode (rightBars = 0), the pivot is identified at bar close without waiting for right-side confirmation. In Confirmed mode (rightBars = lookback), pivots are only confirmed after N bars pass. HTF filter: HTF EMAs are fetched with request.security() using the + lookahead_on non-repainting pattern. When the 21 EMA is above the 50 EMA on the higher timeframe, the HTF trend is bullish; below = bearish. Squeeze release alert: The "squeeze fired" alert triggers on the first confirmed bar after the squeeze condition ends (sqzOn transitions from true to false). The alert message includes the momentum direction at release (bullish if momentum > 0, bearish if ≤ 0). 📖 HOW TO USE Reading the histogram: — Bright green bars (Bull Strong) = momentum above zero and accelerating — strongest bullish phase — Teal bars (Bull Weak) = momentum above zero but decelerating — bulls losing steam — Bright red bars (Bear Strong) = momentum below zero and accelerating — strongest bearish phase — Dark red bars (Bear Weak) = momentum below zero but decelerating — bears losing steam — Transition from Strong → Weak = early warning of momentum exhaustion — Zero-line cross after Weak phase = momentum direction change Reading the squeeze: — Orange-tinted background = active squeeze (volatility compression) — The longer and tighter the squeeze, the more energy is stored — Watch for the first bar after the background clears (squeeze release) — the momentum direction at that moment often indicates the breakout direction Reading divergences: — Green "Div" label below the oscillator / below price = bullish divergence (potential bottom) — Red "Div" label above the oscillator / above price = bearish divergence (potential top) — Lines on the oscillator connect the two pivots that form the divergence — Divergences inside a squeeze are particularly powerful — they suggest the breakout direction before the squeeze releases Suggested workflow: — Wait for a squeeze to form (background tint appears) — Watch for divergences during the squeeze — they hint at breakout direction — On squeeze release, check momentum direction and histogram color — Bright green at release = bullish breakout bias; bright red = bearish — If HTF filter is enabled, only take signals aligned with the higher-timeframe trend Presets: — Conservative : length ≥ 25, BB mult ≥ 2.2, ATR mult ≤ 1.2, smoothing ≥ 7 — fewer signals, smoother histogram, suited for 4H–Daily — Default : uses your manual settings — balanced for 15min crypto — Aggressive : length ≤ 14, BB mult ≤ 1.6, ATR mult ≥ 1.6, smoothing ≤ 2 — more signals, faster reaction — Scalping : length ≤ 10, BB mult ≤ 1.4, ATR mult ≥ 1.8, no smoothing — optimized for 1–5min ⚙️ KEY SETTINGS REFERENCE — Squeeze Length (default 21): shared lookback for EMA, StdDev, and ATR — higher = slower squeeze detection, longer compression phases — Volatility Band Mult (default 1.8): multiplier for the EMA ± StdDev bands — higher = wider bands, squeeze triggers more easily — ATR Channel Mult (default 1.6): multiplier for the ATR channel — lower = narrower channel, squeeze triggers less — Momentum Length (default 20): lookback for highest-high, lowest-low, and momentum EMA — Momentum Smoothing (default 3): EMA smoothing on the normalized momentum — 1 = raw, higher = smoother — Divergence Lookback (default 3): pivot detection lookback for divergence scanning — Early Divergence (default On): label on bar close with no right-side confirmation — faster but less filtered — Use HTF Trend Filter (default Off): filter divergences by higher-timeframe EMA trend — Higher Timeframe (default 60): HTF for trend filter — should be 3–5× chart timeframe 🔔 Alerts Three alert conditions (all bar-close confirmed): — Squeeze Fire : squeeze releases — includes momentum direction (bullish/bearish) — Bullish Divergence : price lower low + momentum higher low — includes HTF trend status — Bearish Divergence : price higher high + momentum lower high — includes HTF trend status All support standard text and JSON webhook format. ⚠️ IMPORTANT NOTES — This indicator is a non-overlay oscillator — it appears in a separate pane below the chart. Optional divergence labels can be mirrored on the price chart via the "Show Divergences on Chart" toggle. — All signals require bar-close confirmation . The HTF filter uses the standard non-repainting security call pattern ( + lookahead_on). — Early divergence mode (default) labels divergences without waiting for right-side pivot confirmation — this provides faster signals but may occasionally flag a divergence that is later invalidated. Switch to Confirmed mode for higher reliability at the cost of delay. — A squeeze release indicates that volatility is expanding — it does not guarantee a directional move. False breakouts can and do occur, especially on lower timeframes. — Divergences signal momentum weakening, not guaranteed reversals. They are most effective as confluence with other analysis, not as standalone signals. — The ATR normalization makes the oscillator scale-independent, but the absolute readings (e.g. +2.0 vs +1.5) should be compared within the same instrument/timeframe context, not across different ones. — Works across all asset classes. Volume is not used in any calculation.
Pine Script® indicator
by WillyAlgoTrader
Polarity Divergence Scanner [JOAT]Polarity Divergence Scanner Introduction The Polarity Divergence Scanner is an open-source advanced market polarity detection system that measures bullish and bearish pressure across four distinct market dimensions: price action, volume flow, momentum dynamics, and volatility expansion. This sophisticated oscillator integrates multiple pressure measurement techniques to detect polarity shifts, divergences, and pressure extremes with visual heatmap representation. The indicator is designed for traders who understand that market movements are driven by the constant battle between bullish and bearish forces across multiple dimensions. By synthesizing price polarity, volume polarity, momentum polarity, and volatility polarity into a composite index, this tool helps identify structural market turning points where pressure imbalances create high-probability reversal opportunities. Why This Integration Exists This indicator combines four distinct polarity measurement frameworks that complement each other: Price Polarity Analysis: Measures directional pressure from pure price action using range-normalized calculations Volume Polarity Tracking: Analyzes buying versus selling pressure through volume flow dynamics Momentum Polarity Detection: Combines RSI and MACD analysis to measure acceleration-based pressure Volatility Polarity Assessment: Tracks expansion versus contraction pressure through ATR analysis Each component addresses different aspects of market pressure dynamics. Price polarity reveals directional bias, volume polarity shows institutional flow, momentum polarity indicates acceleration changes, and volatility polarity measures market energy. Together, they create a comprehensive view of market pressure that traditional single-dimension indicators cannot provide. Core Components Explained 1. Price Polarity Engine Measures directional pressure from price movement: Price Change = close - close Price Range = highest(high, polarity_period) - lowest(low, polarity_period) Price Polarity = (Price Change / Price Range) * 100 Smoothed Price Polarity = ema(Price Polarity, smoothing) This calculation normalizes price movement against the recent range, providing a -100 to +100 scale where positive values indicate bullish pressure and negative values indicate bearish pressure. 2. Volume Polarity System Analyzes buying versus selling pressure through volume flow: Bull Volume = close > open ? volume : 0 Bear Volume = close < open ? volume : 0 Volume Polarity = ((sma(Bull Volume, period) - sma(Bear Volume, period)) / sma(Total Volume, period)) * 100 This reveals institutional flow direction by comparing accumulation (buying) volume against distribution (selling) volume over the specified period. 3. Momentum Polarity Calculator Combines RSI and MACD for comprehensive momentum analysis: RSI Polarity = (RSI - 50) * 2 // Scale to -100 to +100 MACD Histogram Normalized = (MACD Histogram / stdev(MACD Histogram, period)) * 30 Momentum Polarity = (RSI Polarity + MACD Normalized) / 2 This dual-momentum approach captures both relative strength (RSI) and trend acceleration (MACD) components. 4. Volatility Polarity Tracker Measures expansion versus contraction pressure: ATR Change = current ATR - ATR ATR Average = sma(ATR, polarity_period) Volatility Polarity = (ATR Change / ATR Average) * 100 Positive values indicate expanding volatility (energy building), while negative values show contracting volatility (energy dissipating). 5. Composite Polarity Index Weighted combination of all polarity dimensions: Composite Polarity = (Price Polarity * 0.35) + (Volume Polarity * 0.25) + (Momentum Polarity * 0.30) + (Volatility Polarity * 0.10) Final Polarity = ema(Composite Polarity, smoothing) * sensitivity The weighting emphasizes price and momentum while incorporating volume flow and volatility context. 6. Pressure Zone Classification The system defines seven distinct pressure zones: Extreme Bull Zone: Polarity ≥ 70 (Intense bullish pressure) Strong Bull Zone: Polarity 40-69 (Solid bullish pressure) Weak Bull Zone: Polarity 1-39 (Mild bullish pressure) Neutral Zone: Polarity = 0 (Equilibrium state) Weak Bear Zone: Polarity -1 to -39 (Mild bearish pressure) Strong Bear Zone: Polarity -40 to -69 (Solid bearish pressure) Extreme Bear Zone: Polarity ≤ -70 (Intense bearish pressure) 7. Polarity Shift Detection The system identifies four types of polarity shifts: Polarity Flips: Crosses zero line with sufficient strength (>30) Polarity Acceleration: Increasing momentum in extreme zones (>50 or <-50) Polarity Exhaustion: Weakening momentum in extreme zones (>80 or <-80) Pressure Temperature: Volatility-adjusted intensity measurement 8. Advanced Divergence Detection Uses pivot-based analysis to identify polarity divergences: Bullish Polarity Divergence: Price makes lower low while polarity makes higher low Bearish Polarity Divergence: Price makes higher high while polarity makes lower high Divergences are filtered by minimum polarity strength to ensure significance. Visual Elements Composite Polarity Wave: Main oscillator with advanced gradient coloring and triple-layer glow effect Individual Polarity Lines: Price, volume, and momentum polarity components Polarity Strength Histogram: Background columns showing absolute polarity strength Pressure Zone Backgrounds: Dynamic gradient backgrounds based on polarity intensity Reference Lines: Critical levels at ±40, ±70, and ±100 with neutral zone highlighting Polarity Shift Markers: Circles for flips, triangles for acceleration, X-crosses for exhaustion Divergence Diamonds: Large diamond markers for confirmed polarity divergences Dashboard: Comprehensive real-time display of all polarity components and signal status How Components Work Together The integration creates a multi-dimensional pressure analysis: Layer 1 - Price Pressure: Directional bias from pure price movement Layer 2 - Volume Pressure: Institutional flow through buying/selling volume Layer 3 - Momentum Pressure: Acceleration and relative strength dynamics Layer 4 - Volatility Pressure: Energy expansion/contraction context Layer 5 - Composite Analysis: Weighted combination revealing overall market polarity Layer 6 - Shift Detection: Identification of polarity transitions and extremes Layer 7 - Divergence Analysis: Price-polarity disconnects signaling potential reversals Example scenario: Price makes a new high (Layer 1) but volume polarity weakens (Layer 2), momentum polarity diverges (Layer 3), and volatility contracts (Layer 4). The composite polarity (Layer 5) shows bearish divergence (Layer 7) with exhaustion signals (Layer 6), indicating high reversal probability. Input Parameters Polarity Core: Polarity Period: Base period for polarity calculations (default: 14) Smoothing: Smoothing factor for polarity waves (default: 3) Sensitivity: Signal sensitivity multiplier (default: 1.5) Divergence Detection: Pivot Lookback: Bars for pivot detection (default: 5) Min Divergence Strength: Minimum polarity strength for signals (default: 60) Visual Settings: Show Polarity Waves: Toggle main polarity display Show Pressure Zones: Toggle background zone coloring Show Divergence Markers: Toggle divergence signals Show Polarity Shifts: Toggle shift detection markers How to Use This Indicator Step 1: Assess Overall Polarity Check the composite polarity level and current pressure zone classification in the dashboard. Step 2: Identify Pressure Extremes Look for extreme bull (>70) or extreme bear (<-70) zones where reversals are more likely. Step 3: Monitor Polarity Shifts Watch for polarity flips (zero line crosses), acceleration in extreme zones, or exhaustion signals. Step 4: Analyze Component Divergences Check if individual polarity components (price, volume, momentum) are aligned or diverging. Step 5: Detect Polarity Divergences Look for diamond markers indicating price-polarity divergences - these often precede major reversals. Step 6: Confirm with Pressure Temperature High pressure temperature (volatility-adjusted intensity) adds conviction to polarity signals. Step 7: Wait for Confluence Best setups occur when multiple factors align: extreme zones + polarity shifts + divergences + high temperature. Best Practices Use on 15-minute to 4-hour timeframes for optimal polarity detection Focus on extreme zones (>70 or <-70) for highest probability reversals Polarity flips provide early trend change signals with good risk:reward Divergences in extreme zones offer exceptional reversal opportunities Acceleration signals in extreme zones often precede explosive moves Exhaustion signals warn of potential polarity reversals before they occur High pressure temperature adds conviction to all polarity signals Component analysis helps understand the source of polarity changes Indicator Limitations Polarity can remain extreme longer than expected during strong trends Divergences may take time to resolve - patience is required Extreme zones don't guarantee immediate reversals - timing is crucial Component polarity may conflict, requiring interpretation skills Pressure temperature can spike during news events, creating false signals Polarity shifts may be brief and require quick decision-making Performance varies across different market conditions and volatility regimes Requires understanding of multi-dimensional pressure analysis concepts Technical Implementation Built with Pine Script v6 using: Multi-dimensional polarity calculation across four market aspects Advanced gradient coloring system with triple-layer glow effects Pivot-based divergence detection with strength filtering Dynamic pressure zone classification with background visualization Real-time polarity shift detection with multiple signal types Comprehensive dashboard with component breakdown and signal status Anti-overlap filtering to prevent signal clustering Pressure temperature calculation for volatility-adjusted intensity The code is fully open-source and can be modified to suit individual trading styles and preferences. Originality Statement This indicator is original in its multi-dimensional polarity approach. While individual components (RSI, MACD, volume analysis, ATR) are established concepts, this integration is justified because: It synthesizes four distinct polarity dimensions that address different market pressure aspects The composite polarity index provides a unified view of market pressure across multiple dimensions Advanced polarity shift detection identifies transitions before they become obvious in price Polarity divergence analysis reveals price-pressure disconnects that traditional indicators miss Pressure zone classification provides quantitative framework for market state assessment Pressure temperature adds volatility context to polarity intensity measurements Each component contributes unique polarity information: price polarity shows directional bias, volume polarity reveals institutional flow, momentum polarity indicates acceleration, and volatility polarity measures energy. The integration's value lies in identifying moments when these pressure dimensions align or diverge, creating high-probability trading opportunities. Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice or a recommendation to buy or sell any financial instrument. Trading involves substantial risk of loss and is not suitable for all investors. Polarity analysis and divergence detection are analytical concepts that do not guarantee future price movement. Past performance and backtested results do not guarantee future results. Market conditions change, and polarity patterns that worked historically may not work in the future. Always use proper risk management, including stop losses and position sizing appropriate for your account size and risk tolerance. Never risk more than you can afford to lose. Consider consulting with a qualified financial advisor before making investment decisions. The author is not responsible for any losses incurred from using this indicator. Users assume full responsibility for all trading decisions made using this tool. -Made with passion by officialjackofalltrades
Pine Script® indicator
by officialjackofalltrades
Harmonic Pulse Tracker [JOAT]Harmonic Pulse Tracker Introduction The Harmonic Pulse Tracker is an open-source institutional-grade wave and rhythm analysis system that combines Elliott Wave principles, Fibonacci harmonic analysis, WaveTrend oscillator mechanics, and cycle detection into a unified oscillator. This sophisticated system integrates multiple proven methodologies to identify high-probability reversal zones where harmonic patterns, wave cycles, and momentum indicators converge. The indicator is designed for traders who understand that market movements follow natural harmonic patterns and cyclical rhythms. By synthesizing detrended price oscillation, Fibonacci retracement levels, WaveTrend momentum analysis, money flow dynamics, and volume confirmation, this tool helps identify structural market turning points with mathematical precision. Why This Integration Exists This indicator combines six distinct analytical frameworks that complement each other: Harmonic Wave Analysis: Uses detrended price oscillation combined with Ehlers cycle detection to identify natural market rhythms Fibonacci Harmonic Levels: Calculates dynamic Fibonacci retracements and extensions based on wave swing points WaveTrend Oscillator: Implements LazyBear's WaveTrend algorithm for momentum and overbought/oversold detection Money Flow Integration: Tracks institutional buying and selling pressure through Money Flow Index analysis Volume Analysis: Confirms wave movements with volume spikes and directional volume pressure Elliott Wave Counting: Simplified wave counting system to identify impulse and corrective wave phases Each component addresses different aspects of market rhythm and harmony. The harmonic wave engine identifies natural price cycles, Fibonacci levels provide mathematical support/resistance, WaveTrend shows momentum extremes, money flow reveals institutional activity, volume confirms genuine moves, and Elliott Wave counting provides structural context. Together, they create a multi-dimensional view of market harmony and discord. Core Components Explained 1. Harmonic Wave Engine The core wave calculation combines two advanced techniques: DPO (Detrended Price Oscillator) = close - sma(close, length/2 + 1) Ehlers Cycle Component = High-pass filtered price with cycle smoothing Harmonic Wave = Smoothed DPO + (Cycle Component * 0.5) This creates a wave that removes trend bias while preserving cyclical components, revealing the natural harmonic rhythm of price movement. Wave Derivatives: - Wave Momentum: Rate of change in harmonic wave - Wave Acceleration: Rate of change in momentum - Wave Velocity: Percentage rate of change over 5 periods These derivatives help identify wave phase transitions and momentum shifts before they become obvious in price. 2. Fibonacci Harmonic Level System The indicator calculates dynamic Fibonacci levels based on harmonic wave swing points: Standard Retracements: - 23.6%, 38.2%, 50.0%, 61.8%, 78.6% of wave range Extensions: - 127.2%, 161.8%, 261.8% beyond wave high Golden Pocket Zone: The critical 61.8% to 78.6% retracement zone where most harmonic reversals occur. This zone represents the mathematical sweet spot where Fibonacci ratios converge with natural market rhythm. Harmonic Resonance Detection: The system identifies when price is within 5% of key Fibonacci levels and calculates confluence scores when multiple levels align. 3. WaveTrend Oscillator Integration Implements the proven WaveTrend algorithm: ESA = ema(hlc3, channel_length) D = ema(abs(hlc3 - ESA), channel_length) CI = (hlc3 - ESA) / (0.015 * D) WT1 = ema(CI, average_length) WT2 = sma(WT1, 4) WaveTrend Signals: - Crossovers in oversold zone (< -50): Bullish reversal signals - Crossunders in overbought zone (> 50): Bearish reversal signals - Regular crossovers: Momentum shift confirmation 4. Money Flow Analysis Tracks institutional buying and selling pressure: MFI = Money Flow Index over specified period MFI Centered = (MFI - 50) * multiplier - Positive MFI: Institutional buying pressure - Negative MFI: Institutional selling pressure - Strong MFI: Absolute value > 25 indicates significant institutional activity 5. Volume Analysis Engine Comprehensive volume analysis including: Volume Spikes: Volume > Average Volume * Threshold Volume Ratio: Current volume / Average volume Volume Strength: Normalized volume intensity (0-100) Directional Volume: - Bullish Volume Spike: High volume + green candle - Bearish Volume Spike: High volume + red candle 6. Elliott Wave Phase Detection Simplified wave analysis to identify market structure: Impulse Waves: - Impulse Up: Positive momentum + acceleration + velocity - Impulse Down: Negative momentum + acceleration + velocity Corrective Waves: - Mixed momentum and acceleration signals indicating consolidation Wave Counting: Basic 5-wave count system that resets after wave 5 completion, helping identify potential reversal zones. Multi-Factor Confluence Scoring System The indicator calculates a real-time confluence score (0-100) by weighting each component: Confluence Score Components: - Fibonacci Zone: Up to 20 points (Golden Pocket = 20, other Fib levels = 4 each) - Wave Strength: Up to 20 points (based on wave momentum intensity) - WaveTrend: Up to 20 points (extreme zone crossovers = 20, regular = 15) - Money Flow: Up to 20 points (strong institutional activity = 20) - Volume: Up to 20 points (volume spikes = 20, elevated = 15) Scores above 80 indicate exceptional confluence for potential trades. The dashboard displays individual component scores for transparency. Perfect Harmonic Alignment Detection The system identifies rare "Perfect Harmonic" setups when: - Price is in Golden Pocket zone - Impulse wave phase is active - Wave strength > 70 - WaveTrend crossover in extreme zone - Positive money flow (for bullish) or negative (for bearish) - Volume spike confirmation These setups represent the highest probability reversal opportunities. Visual Elements Harmonic Wave: Main oscillator with gradient coloring based on wave position Wave Momentum: Histogram showing rate of change in wave movement Fibonacci Levels: Key retracement and extension levels (38.2%, 50%, 61.8%, 78.6%, 161.8%) Golden Pocket Zone: Highlighted area between 61.8% and 78.6% levels WaveTrend Lines: WT1 and WT2 with overbought/oversold zones Money Flow Columns: Institutional buying/selling pressure visualization Volume Strength: Volume intensity histogram Signal Markers: Perfect Harmonic signals and strong confluence alerts Background Zones: Golden Pocket and Perfect Signal highlighting Dashboard: Real-time display of all component values and confluence score How Components Work Together The integration creates a harmonic analysis approach: Layer 1 - Wave Rhythm: Harmonic wave identifies natural market cycles and turning points Layer 2 - Mathematical Levels: Fibonacci ratios provide precise support/resistance zones Layer 3 - Momentum Context: WaveTrend shows overbought/oversold extremes Layer 4 - Institutional Flow: Money flow reveals smart money positioning Layer 5 - Volume Confirmation: Volume analysis validates genuine moves vs noise Layer 6 - Wave Structure: Elliott Wave context provides structural framework Example scenario: Harmonic wave reaches Golden Pocket zone (Layer 1 + 2) during WaveTrend oversold crossover (Layer 3) with positive money flow (Layer 4) and volume spike (Layer 5) in corrective wave phase (Layer 6). This confluence suggests exceptional reversal probability. Input Parameters Wave Settings: Wave Length: Period for harmonic wave calculation (default: 34) Smoothing Period: Wave smoothing factor (default: 5) WaveTrend Settings: Show WaveTrend: Toggle WaveTrend display WT Channel Length: Channel calculation period (default: 9) WT Average Length: Smoothing period (default: 12) WT Overbought: Overbought threshold (default: 50) WT Oversold: Oversold threshold (default: -50) Money Flow Settings: Show Money Flow: Toggle money flow display MFI Length: Money Flow Index period (default: 14) MFI Multiplier: Sensitivity adjustment (default: 1.5) Volume Settings: Show Volume Analysis: Toggle volume indicators Volume Spike Threshold: Multiplier for spike detection (default: 1.5) Fibonacci Settings: Show Fibonacci Levels: Toggle Fibonacci level display Fibonacci Lookback: Period for swing point calculation (default: 100) Cycle Settings: Cycle Period: Ehlers cycle detection period (default: 20) Cycle Smoothing: Cycle component smoothing (default: 3) How to Use This Indicator Step 1: Identify Wave Phase Check the dashboard for current wave phase (Impulse Up/Down, Corrective, Neutral) and Elliott Wave count. Step 2: Locate Fibonacci Zones Look for price approaching key Fibonacci levels, especially the Golden Pocket zone (61.8%-78.6%). Step 3: Check WaveTrend Position Identify if WaveTrend is in extreme zones and watch for crossovers in oversold/overbought areas. Step 4: Analyze Money Flow Confirm institutional positioning through Money Flow Index - positive for bullish setups, negative for bearish. Step 5: Verify Volume Confirmation Ensure volume supports the move - look for volume spikes in the direction of the expected reversal. Step 6: Review Confluence Score Check the dashboard confluence score. Scores above 80 indicate high-probability setups. Step 7: Wait for Perfect Harmonic Signals The highest probability trades occur when "PERFECT" signals appear, indicating all factors are aligned. Best Practices Use on 15-minute to 4-hour timeframes for optimal harmonic detection Focus on Golden Pocket zone entries - this is where most harmonic reversals occur Wait for WaveTrend crossovers in extreme zones for best risk:reward Confirm with money flow direction - institutional flow should support the trade direction Volume spikes add significant confirmation to harmonic setups Perfect Harmonic signals are rare but offer exceptional probability Wave 5 completions often coincide with major reversal opportunities Use confluence scores above 80 as primary filter for trade selection Indicator Limitations Harmonic patterns can extend beyond expected Fibonacci levels Perfect Harmonic signals are rare - patience is required for best setups Wave counting is simplified and may not match complex Elliott Wave analysis Fibonacci levels are dynamic and may adjust as new swing points form Money flow can remain extreme longer than expected during strong trends Volume confirmation may be less reliable in low-liquidity markets Confluence scoring is mathematical, not predictive of future performance Requires understanding of harmonic analysis principles for effective use Technical Implementation Built with Pine Script v6 using: Advanced detrended price oscillation with Ehlers cycle detection Dynamic Fibonacci calculation based on swing point analysis LazyBear WaveTrend algorithm implementation Real-time Money Flow Index with institutional bias detection Volume analysis with spike detection and directional confirmation Simplified Elliott Wave counting with phase detection Multi-factor confluence scoring system with component weighting Anti-overlap signal filtering to prevent signal clustering The code is fully open-source and can be modified to suit individual trading styles and preferences. Originality Statement This indicator is original in its harmonic integration approach. While individual components (DPO, Fibonacci, WaveTrend, MFI, volume analysis, Elliott Wave) are established concepts, this integration is justified because: It synthesizes six distinct methodologies that address different aspects of market harmony The harmonic wave engine combines detrended oscillation with cycle detection for superior rhythm analysis Dynamic Fibonacci levels adjust to current wave structure rather than using static retracements Golden Pocket zone identification provides mathematical precision for reversal timing Multi-factor confluence scoring quantifies setup quality across all components Perfect Harmonic detection identifies rare, high-probability reversal opportunities Each component contributes unique harmonic information: wave analysis reveals natural cycles, Fibonacci provides mathematical levels, WaveTrend shows momentum extremes, money flow indicates institutional positioning, volume confirms genuine moves, and Elliott Wave provides structural context. The integration's value lies in identifying moments when all these harmonic factors align simultaneously. Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice or a recommendation to buy or sell any financial instrument. Trading involves substantial risk of loss and is not suitable for all investors. Harmonic analysis and Fibonacci levels are mathematical concepts that do not guarantee future price movement. Past performance and backtested results do not guarantee future results. Market conditions change, and harmonic patterns that worked historically may not work in the future. Always use proper risk management, including stop losses and position sizing appropriate for your account size and risk tolerance. Never risk more than you can afford to lose. Consider consulting with a qualified financial advisor before making investment decisions. The author is not responsible for any losses incurred from using this indicator. Users assume full responsibility for all trading decisions made using this tool. -Made with passion by officialjackofalltrades
Pine Script® indicator
by officialjackofalltrades
2
AIO Master Suite: Moving Averages & OscillatorsThe AIO Master Suite: Moving Averages & Oscillators This is a comprehensive technical analysis toolkit designed to solve the most common problem traders face: Chart Clutter . By consolidating over 25 different Moving Average types and a vast array of Oscillators into a single indicator, this tool allows traders to monitor complex market data without sacrificing screen real estate. Instead of stacking multiple oscillator panes that compress your price chart, this script calculates values in the background and displays them in a customizable, floating dashboard. Key Features 1. The Moving Average Engine (Chart Overlay) This script includes a robust engine capable of rendering up to 20 simultaneous Moving Averages . Each slot is fully independent, allowing you to select the Type, Length, Source, and Color. We have included a mix of Classical, Adaptive, and Geometric averages to suit any trading style: Classical: SMA, EMA, WMA, RMA. Adaptive: KAMA (Kaufman Adaptive): Adjusts to market noise. FRAMA (Fractal Adaptive): Uses fractal geometry to dynamically adjust smoothing. JMA (Jurik Moving Average): Low-lag, low-noise smooth curve. VIDYA: Adjusts volatility using Chande Momentum Oscillator. Low-Lag/Smooth: Hull MA (HMA): Reduces lag while improving smoothing. Zero-Lag EMA (ZLEMA): Tracks the difference between price and standard EMA. Tilson T3: Smooth, low-lag moving average. Super Smoother: Uses a 2-pole Butterworth filter. Other Types: ALMA, McGinley Dynamic, LSMA, Geometric MA, Triangular MA, and Median. 2. The Oscillator Dashboard (Data Table) Rather than plotting lines, the script computes the raw values and signal components of popular oscillators and presents them in a clean table. This is ideal for "at-a-glance" confluence checking. Momentum: RSI, Stochastic, Stoch RSI, Williams %R, Momentum, CCI, Ultimate Oscillator. Trend & Volume: MACD (Line, Signal, Hist), ADX (DI+/DI-), Aroon, Vortex. Market Strength: CMF, MFI, ATR. Advanced: Fisher Transform, TRIX, Connors RSI, CMO, and TSI. How It Works Calculations: All indicators are calculated using standard and advanced mathematical formulas derived from their original authors (e.g., Ehlers, Jurik). Display Logic: The script utilizes the table library to dynamically check which indicators are enabled. Disabled indicators are removed from the calculation pipeline to optimize performance. Adaptive Logic: For averages like FRAMA and KAMA, the script analyzes price volatility or fractal dimensions to automatically tighten or loosen the smoothing factor. How to Use Trend Identification: Enable your preferred Moving Averages (e.g., a 50/200 EMA pair) to visualize the main trend direction on the chart. Confluence Scanning: Use the Dashboard to check the state of oscillators without scrolling. For example, quickly see if RSI is > 70 (Overbought) while checking if the MACD Histogram is ticking down. Customization: Open settings to toggle specific MAs or Oscillators. You can change the dashboard position (e.g., Top Right, Bottom Left) to fit your screen. Settings Global MA Params: Controls variables for complex MAs (JMA Phase, ALMA Offset, etc). Moving Averages: 20 individual slots to toggle visibility, type, length, and color. Oscillators: Individual toggles and length settings for every oscillator. Table Settings: Control visibility and position of the dashboard. Disclaimer This tool is for informational and educational purposes only. It provides technical data based on mathematical formulas and DOES NOT constitute financial advice. Past performance of any indicator does not guarantee future results. Always manage your risk.
Pine Script® indicator
by abgthecoder
Chaikin Money Flow with Shaded BackgoundThis script is a modernized version of Chaikin Money Flow with time‑horizon presets, Histogram Mode, and Regime Background Shading. Preset Modes Daily – Standard (20): Classic CMF(20), ideal for swing trading. **Weekly – Short (5): Time‑scaled equivalent of CMF(20) for weekly charts. Monthly – Smooth (10): Long‑cycle accumulation/distribution smoothing. Manual: Full control over CMF length. These presets are designed to maintain **consistent time‑horizon behavior** across different chart timeframes. Line: Traditional CMF line. Histogram: Momentum‑style histogram. Hybrid: Line + histogram. CMF‑SMA Mode: Histogram shows CMF minus its SMA. CMF Change Mode: Histogram shows bar‑to‑bar CMF acceleration. Note: When using Histogram Mode, switch the Histogram Type input between CMF‑SMA and CMF Change depending on the style you want. Green: CMF > 0 (Accumulation) Red: CMF < 0 (Distribution) This provides a clean, structural read of market pressure without cluttering the chart.
Pine Script® indicator
by followmytradingjournal
Dynamic RSI Level + Divergence [Metrify]This script provides a customized approach to tracking RSI divergence by replacing static overbought and oversold levels with dynamic volatility bands. Standard oscillators often fail during strong trends by staying pinned above 70 or below 30, producing premature signals. To handle this, the indicator calculates a moving baseline for the RSI and wraps it in standard deviation bands. This allows the overbought and oversold boundaries to adapt to the current market situation. Does the divergence delayed? No. The divergence label is printed exactly at the bar where the condition becomes valid. There is no forward confirmation or repaint shifting. This honest approach may produce losing signals in strong trends, but it preserves the integrity of real-time detection. Divergence filters (optional, set this to 0 to avoid the filter): Min RSI Diff (Steepness) -> requires sufficient vertical gap between RSI pivots to avoid weak, flat divergences. Min Price Diff -> minimum price to move a meaningful distance (relative to ATR) between both pivots.
Pine Script® indicator
by Metrify
Rhokeo-VW-RSI Histogram for Cumulative Delta by ZeiirmanRhokeo-VW-RSI Histogram: Volume-Weighted Momentum (use with Cumulative Delta from Zeiierman) Note that Cumulative Delta is a paid indicator. Overview: The Rhokeo-VW-RSI Histogram is a momentum oscillator designed to filter out market noise by integrating volume directly into the RSI calculation. Unlike a standard RSI, which only considers price change, this indicator weights those changes by the volume occurring at the time. It creates a momentum profile in the form of a Histogram. If the price moves on high volume, the indicator reflects that strong market interest through its volume-weighted gain and loss calculations. It is particularly effective as a complementary filter for “Cumulative Delta” from Zeiierman to confirm the strength behind a move before you enter a trade. How It Works The indicator operates on a normalized scale of -1.0 to +1.0 for easier visual interpretation and compatibility with Cumulative Delta indicator: • The Volume-Weighted Core: Gains and losses are calculated by multiplying the price change by volume to ensure the "Relative Strength" reflects true capital flow. • Smoothing for Clarity: The raw Volume Weighted RSI (VW-RSI) is processed through a customizable Moving Average—such as SMA, EMA, SMMA, WMA, or VWMA—to produce the smooth histogram. • Four-Zone Coloring System: The histogram changes color dynamically based on momentum intensity: o Strong Bull: Price is trending up with high-volume conviction. o Weak Bull: Positive momentum, but not yet overextended. o Weak Bear: Negative momentum starting to build. o Strong Bear: Heavy selling pressure with high-volume conviction. Key Features • Shading: The background features optional red and green shading in the "Extreme" zones to warn traders of potential exhaustion areas. • Dynamic Zero Line: The center line flips color between Green and Red based on whether the VW-RSI is positive or negative. • Customization: Traders can adjust the smoothing length, source price, and the specific levels for overbought/oversold zones. Best Use Case for New Traders: New traders often get "faked out" by price spikes that have no volume behind them. This indicator helps confirm and time better entries: 1. Wait for your Cumulative Delta indicator to give a signal. 2. Check the VW-RSI Histogram and whether it confirms or not. 3. Long Entry: Only enter if the histogram is positive and rising (above 0). 4. Short Entry: Only enter if the histogram is negative and decreasing (below 0). ________________________________________ Disclaimer Financial Risk: • Trading involves significant risk, and most traders lose money. • This indicator is a tool for technical analysis and does not constitute financial, investment, or trading advice. • Past performance is not indicative of future results; never trade with money you cannot afford to lose. Usage & Reliability: • The Rhokeo-VW-RSI Histogram is provided "as-is" for educational and informational purposes only. • While volume-weighting aims to filter market noise, no indicator can guarantee 100% accuracy or predict future market movements with certainty. • This script is intended to be a complementary tool that works well with other indicators in this case the Cumulative Delta from Zeiirman; it should be used in conjunction with other forms of analysis, risk management, and your own due diligence. Commercial Notice: • If you are using this alongside a third-party paid indicator, please note that I am not responsible for the performance or support of external products. • Users are responsible for their own trade execution and account management.
Pine Script® indicator
by nabil007
[COG] Platypus Platypus Overview Platypus is a volume momentum indicator that combines price action, volume analysis, and multi-timeframe confirmation to generate trade signals. Unlike traditional volume indicators, Platypus reconstructs volume momentum by factoring in price velocity, volatility adjustment, and market structure to identify true institutional momentum shifts. The indicator features a comprehensive filtering system including EMA alignment, background state confirmation, and optional multi-timeframe filters to eliminate false signals and ensure you only trade with the strongest momentum. Key Features ✅ Volume Momentum Calculation Volatility-Adjusted Volume: Normalizes volume relative to recent volatility periods Quiet Market Filtering: Reduces noise during low-activity periods Spike Detection: Identifies abnormal volume surges with boosted weighting Momentum Smoothing: EMA-based smoothing prevents erratic signals ✅ Entry Pattern Detection 3-Bar Pattern Requirement: RED → GREEN → GREEN for buys (opposite for sells) State Management: Prevents consecutive signals in same direction without reset Background Confirmation: Must align with bullish/bearish market state EMA Alignment Filter: Ensures trend structure supports the trade direction ✅ Multi-Timeframe Filtering System HTF Closed Bar Filter: Confirms last closed higher timeframe bar matches direction (no repaint) HTF Momentum Filter: Requires current HTF bar to match direction (live, prevents delayed entries) Dual-Filter Capability: Use both filters for maximum precision ✅ Dashboard Real-time Status Monitoring: Volume trend, background state, EMA order, trade state Filter Status Display: Shows HTF filter conditions and signal permission Pattern Detection: Indicates when 3-bar entry pattern is forming ✅ On-Chart Integration 50/100/200 EMAs: Automatically plotted on price chart with customizable colors Visual Entry Markers: Triangle signals appear on price chart at entry points Signal Alerts: Built-in alert conditions for all signal types 📚 Core Settings Explained signalPeriod = input.int(8, "Signal Period", minval=1, group="Core Settings") Signal Period (Default: 8): Controls the smoothing of the signal line (blue line). Lower values = more responsive, higher values = smoother but slower to react. volatilityPeriod = input.int(20, "Volatility Period", minval=1, group="Core Settings") Volatility Period (Default: 20): Lookback period for volume and price range calculations. This period is used to normalize volume relative to recent market conditions. priceFilterLength = input.int(200, "Price Filter MA Length", minval=1, group="Core Settings") Price Filter MA Length (Default: 200): The SMA period used for background state determination. Price must be above this MA for bullish background, below for bearish background. Advanced Settings momentumMultiplier = input.float(50.0, "Momentum Multiplier", minval=20.0, maxval=80.0, step=2.0, group="Advanced") Momentum Multiplier (Default: 50.0): Scales the final momentum score. Higher values = larger histogram bars and more sensitivity. Adjust based on your instrument's volatility. momentumSmoothing = input.int(4, "Momentum Smoothing", minval=1, maxval=15, group="Advanced") Momentum Smoothing (Default: 4): EMA period applied to raw momentum before normalization. Higher values reduce noise but add lag. quietThreshold = input.float(0.3, "Quiet Market Filter", minval=0.0, maxval=1.0, step=0.05, group="Advanced") Quiet Market Filter (Default: 0.3): During low-volume periods, this applies exponential dampening to momentum. Higher values = more aggressive filtering of weak moves. volStrengthFactor = volRatio < (1.0 + quietThreshold) ? math.pow(volRatio, 2) : volRatio When volume is less than average + threshold, it squares the ratio (dampening), otherwise uses linear scaling.
Pine Script® indicator
by CognitiveAlpha
2
RSI Momentum LockConcept & Philosophy This indicator is a unique hybrid trend-following system that combines the momentum power of RSI with the visual simplicity of the SuperTrend. Unlike standard indicators that flip constantly during choppy markets, the RSI Momentum Lock uses a "State Machine" logic to capture and hold strong trends. How It Works The indicator creates a "Trend Lock" based on RSI breakout levels: Bullish Lock (Green): Triggered ONLY when RSI closes above 70 (Overbought Breakout). The trend remains bullish even if RSI falls back to neutral levels (50-60), filtering out minor corrections. Bearish Lock (Red): Triggered ONLY when RSI closes below 30 (Oversold Breakdown). The trend remains bearish until a new bullish breakout occurs. Visuals The plot looks like a SuperTrend, calculated using ATR (Average True Range) to provide a dynamic Trailing Stop line. Green Line: Support level during an uptrend. Red Line: Resistance level during a downtrend. Why Use This Indicator? Filters Noise: It ignores sideways movement between RSI 30 and 70. Early Entry: Catches the momentum explosion right at the breakout. Longer Rides: Keeps you in the trade longer than traditional SuperTrends. Settings RSI Length: Default is 14. Levels: Default triggers are 70 (Buy) and 30 (Sell). ATR Factor: Controls the distance of the line from the price (Default 3.0). الفكرة والفلسفة (Concept & Philosophy) هذا المؤشر هو نظام اتجاه هجين فريد يجمع بين قوة زخم مؤشر RSI والبساطة البصرية لمؤشر SuperTrend. على عكس المؤشرات التقليدية التي تغيّر اتجاهها باستمرار في الأسواق العرضية (المتذبذبة)، يعتمد مؤشر RSI Momentum Lock على منطق آلة الحالات (State Machine) لالتقاط الاتجاهات القوية والاحتفاظ بها لأطول فترة ممكنة. كيف يعمل المؤشر؟ (How It Works) يقوم المؤشر بإنشاء ما يُعرف بـ قفل الاتجاه (Trend Lock) بناءً على اختراقات مؤشر RSI: قفل صاعد (Bullish Lock – أخضر) يتم تفعيله فقط عندما يغلق مؤشر RSI أعلى مستوى 70 (اختراق تشبع شرائي). يظل الاتجاه صاعدًا حتى لو عاد RSI إلى مناطق محايدة (50 – 60). هذا الأسلوب يمنع الخروج المبكر بسبب التصحيحات البسيطة. قفل هابط (Bearish Lock – أحمر) يتم تفعيله فقط عندما يغلق مؤشر RSI أسفل مستوى 30 (اختراق تشبع بيعي). يظل الاتجاه هابطًا حتى يحدث اختراق صاعد جديد. يساعد على تجنب الإشارات الكاذبة أثناء التذبذب. الشكل البصري (Visuals) يظهر المؤشر بصريًا بشكل مشابه لـ SuperTrend، ويتم حسابه باستخدام ATR (متوسط المدى الحقيقي) لإنشاء خط وقف متحرك ديناميكي: الخط الأخضر: مستوى دعم أثناء الاتجاه الصاعد. الخط الأحمر: مستوى مقاومة أثناء الاتجاه الهابط. لماذا تستخدم هذا المؤشر؟ (Why Use This Indicator?) فلترة الضوضاء: يتجاهل الحركة العرضية عندما يكون RSI بين 30 و70. دخول مبكر: يلتقط انفجار الزخم مباشرة عند الاختراق الحقيقي. صفقات أطول: يبقيك داخل الصفقة لفترة أطول مقارنة بمؤشرات SuperTrend التقليدية. الإعدادات (Settings) طول RSI: القيمة الافتراضية 14 المستويات: شراء: 70 بيع: 30 عامل ATR: يحدد بُعد الخط عن السعر (القيمة الافتراضية 3.0)
Pine Script® indicator
by abdelhadi-salah
SuperRSI: Enhanced MomentumTitle: SuperRSI: Enhanced Momentum Description: Overview The SuperRSI is not your standard Relative Strength Index. While traditional RSI calculates momentum based solely on close prices, this "Titan Edition" incorporates price structure breakouts. It analyzes whether the price is breaking new highs or lows within the lookback period to calculate momentum. This makes the SuperRSI significantly more responsive to volatility and genuine market action than the classic formula. Key Features Titan Calculation Logic: Uses High/Low breakouts to capture true momentum, making it faster and more sensitive than standard RSI. Dynamic Trend Coloring: The RSI line automatically changes color to give you an instant visual bias: Green: RSI is above the Signal Line (Bullish Momentum). Red: RSI is below the Signal Line (Bearish Momentum). Signal Line Filtering: Includes a built-in "Slow Signal" (EMA based) to help filter out market noise and identify sustainable trends. Visual Gradients: Clear background fills for Overbought (OB) and Oversold (OS) zones to highlight extreme conditions. How to Use Trend Identification: Simply look at the line color. If it’s Green, momentum is bullish. If it’s Red, momentum is bearish. Entry & Exit Signals: Watch for the crossover between the RSI line and the Signal Line. A cross above is a buy signal; a cross below is a sell signal. Overbought/Oversold: Above 80: Extreme bullish momentum (potential reversal or strong trend continuation). Below 20: Extreme bearish momentum. Settings Fully customizable lengths for RSI and Signal lines. Adjustable Smoothing methods (RMA, SMA, EMA). Customizable Overbought/Oversold levels (Default: 80/20) العنوان: SuperRSI: Enhanced Momentum الوصف: نظرة عامة مؤشر SuperRSI ليس مجرد مؤشر قوة نسبية تقليدي. بينما يعتمد الـ RSI العادي على أسعار الإغلاق فقط، تعتمد هذه النسخة المطور (Titan Edition) على اختراقات الهيكل السعري. يقوم المؤشر بحساب الزخم بناءً على ما إذا كان السعر يكسر قمماً جديدة أو قيعانًا جديدة خلال الفترة المحددة. هذا يجعله أكثر استجابة للتقلبات وحركة السوق الحقيقية مقارنة بالمعادلة الكلاسيكية. أهم المميزات معادلة Titan للزخم: تستخدم اختراقات القمم والقيعان (High/Low) لالتقاط الزخم الحقيقي، مما يجعله أسرع وأدق من RSI العادي. تلوين ديناميكي للاتجاه: يتغير لون خط المؤشر تلقائياً ليعطيك رؤية فورية للاتجاه: اللون الأخضر: الـ RSI يتداول فوق خط الإشارة (زخم صاعد). اللون الأحمر: الـ RSI يتداول تحت خط الإشارة (زخم هابط). فلترة الإشارات: يحتوي على "خط إشارة" مدمج (Slow Signal) لتنقية ضجيج السوق (Noise) وتحديد الاتجاهات المستدامة. تدرجات لونية: خلفيات واضحة لمناطق التشبع الشرائي (Overbought) والتشبع البيعي (Oversold). طريقة الاستخدام تحديد الاتجاه: انظر ببساطة إلى لون الخط. إذا كان أخضر فالزخم شرائي، وإذا كان أحمر فالزخم بيعي. إشارات الدخول والخروج: راقب التقاطع بين خط الـ RSI وخط الإشارة. التقاطع لأعلى يعتبر إشارة شراء، والتقاطع لأسفل يعتبر إشارة بيع. مناطق التشبع: فوق 80: تشبع شرائي (احتمالية انعكاس أو استمرار قوي للترند). تحت 20: تشبع بيعي. الإعدادات إمكانية تعديل المدة الزمنية (Length) للـ RSI وخطوط الإشارة. خيارات متعددة لنوع المتوسط المستخدم (RMA, SMA, EMA). مستويات تشبع قابلة للتعديل (الافتراضي: 80/20).
Pine Script® indicator
by abdelhadi-salah
Smart RSI Candles [DotGain]Smart RSI Candles – Description Smart RSI Candles is a minimalist yet powerful overlay indicator that visualizes RSI conditions directly on price candles. Instead of plotting a separate RSI oscillator, this tool colors the chart bars based on customizable RSI threshold levels, allowing traders to instantly identify overbought and oversold regimes within the price action itself. The indicator is built on the classic Wilder RSI and supports up to three upper (overbought) and three lower (oversold) levels. Each level can be individually enabled or disabled, making the indicator fully modular and adaptable to different trading styles and market conditions. Key Features RSI-based candle coloring (no separate panel required) Up to 6 customizable RSI levels Individual On/Off toggle for each level Extreme conditions highlighted in blue Works on any market and timeframe Clean, non-intrusive visual design Color Logic Overbought (Upper Levels) Level 1: Light green → mild overbought Level 2: Dark green → strong overbought Level 3: Blue → extreme overbought Oversold (Lower Levels) Level 1: Light red → mild oversold Level 2: Dark red → strong oversold Level 3: Blue → extreme oversold Neutral RSI values keep the original candle color. How to Use Use upper levels to identify potential exhaustion in bullish moves. Use lower levels to spot potential panic or capitulation zones. Combine with trend analysis, support/resistance, or volume for confirmations. Disable specific levels to create conservative or aggressive RSI regimes. Use Cases Mean reversion strategies Momentum exhaustion detection Visual risk regime mapping Multi-timeframe RSI context Smart RSI Candles is designed for traders who want RSI information integrated directly into price, without clutter — fast, intuitive, and highly customizable. Have fun :) Disclaimer This Smart RSI Candles indicator is provided for informational and educational purposes only. It does not, and should not be construed as, financial, investment, or trading advice. This indicator is an independent implementation of a Relative Strength Index (RSI) based visualization tool and is not affiliated with, or endorsed by, any third-party trading systems, strategies, or trademarked methodologies. The colored candles displayed by this indicator are generated by a predefined set of algorithmic conditions based on RSI threshold levels. They do not constitute a direct recommendation to buy or sell any financial instrument. All trading and investing in financial markets involves a substantial risk of loss. You may lose part or all of your invested capital. Past performance does not guarantee future results. This indicator highlights potential overbought and oversold market conditions and may produce false, lagging, or misleading signals. Market conditions can change rapidly and remain irrational longer than expected. The creator DotGain assumes no responsibility or liability for any financial losses, damages, or decisions made based on the use of this indicator or the information it provides.You are solely responsible for your own trading and investment decisions. Always conduct your own research (DYOR), use proper risk management, validate signals with additional tools or analysis, and consider your personal financial situation and risk tolerance before entering any trade.
Pine Script® indicator
by DotGain
Regression Slope Oscillator [BigBeluga]🔵 OVERVIEW The Regression Slope Oscillator is a trend–momentum tool that applies multiple linear regression slope calculations over different lookback ranges, then averages them into a single oscillator line. This design helps traders visualize when price is extending beyond typical regression behavior, as well as when momentum is shifting up or down. 🔵 CONCEPTS Regression Slope – Measures the steepness and direction of price trends over a selected length. f_log_regression(src, length) => float sumX = 0.0 float sumY = 0.0 float sumXSqr = 0.0 float sumXY = 0.0 for i = 0 to length - 1 val = math.log(src ) per = i + 1.0 sumX += per sumY += val sumXSqr += per * per sumXY += val * per slope = (length * sumXY - sumX * sumY) / (length * sumXSqr - sumX * sumX) slope*-1 Multi–Sample Averaging – Instead of relying on one regression slope, the indicator loops through many lengths (from Min Range to Max Range with Step increments) and averages their slopes. multiSlope(length)=> // Get regression slope slope = f_log_regression(close, length) slopAvg.push(slope) for i = minRange to maxRange by step multiSlope(i) Color Gradient – The oscillator and candles are colored dynamically from oversold (orange) to overbought (aqua), based on slope extremes observed within the user–defined Color Range. Trend Oscillation – When the oscillator rises, price trend is strengthening; when it falls, momentum weakens. 🔵 FEATURES Calculates regression slopes across a user–defined range (e.g., 10–100 with steps of 5). Averages all sampled slopes into a single oscillator line. Dynamic coloring of oscillator and chart candles based on slope values. User–controlled Color Range : High values (e.g., 50–100) → interpret as overbought vs oversold zones. Low values (e.g., 2–5) → interpret as slope rising vs falling momentum shifts. Dashboard table (top–right) displaying number of slope samples and current averaged slope value. Candle coloring mode (optional) – candles take on the oscillator gradient color for at–a–glance reading of trend bias. Signal Line (SMA) – A moving average of the slope oscillator used to identify momentum reversals. Bullish Reversal Signal – Triggered when the oscillator crosses above the signal line while below zero, indicating downside momentum exhaustion and potential trend recovery. Bearish Reversal Signal – Triggered when the oscillator crosses below the signal line while above zero, indicating upside momentum exhaustion and potential trend rollover. Dual Placement Signals – Reversal signals are plotted both: On the oscillator pane (for momentum context) On the price chart (for execution alignment) Confirmation Logic – Signals are only printed on confirmed bars to reduce repainting and false triggers. 🔵 HOW TO USE Watch the oscillator cross above/below zero: signals shifts in regression slope direction. Use the signal line crossovers near zero to identify early trend reversals. Use high Color Range settings to identify potential overbought/oversold extremes in trend slope. Use low Color Range settings for a faster, momentum–driven color change that tracks slope rising/falling. Candle coloring highlights short–term trend pressure in sync with the oscillator. Combine reversal signals with structure, support/resistance, or volume for higher–probability entries. 🔵 CONCLUSION The Regression Slope Oscillator transforms raw regression slope data into a smooth, color–coded oscillator. By averaging across multiple regression lengths, it avoids the noise of single–range analysis while still capturing trend extensions and momentum shifts. With the addition of signal line crossovers and confirmed reversal markers, the indicator now provides both trend context and actionable momentum signals within a single regression-based framework.
Pine Script® indicator
by BigBeluga
11
ARPAKET_FLOW_CRYPTOArpaket_FLOW - TradingView Script --- ## 📝 Short Description (for subtitle) ``` Advanced Money Flow Indicator with Multi-Asset Support, Whale Detection & Multi-Timeframe Analysis ``` --- ## 📄 Full Description (copy below this line) --- ### 🌊 ARPAKET_FLOW - Smart Money Flow Indicator **Arpaket_FLOW** is a comprehensive money flow indicator designed to help traders visualize whether smart money is flowing INTO or OUT of the market, along with the intensity of that flow. This indicator combines multiple proven technical analysis methods into a single, easy-to-read tool for making informed buy/sell decisions. --- ### 🎯 What Does This Indicator Do? This indicator answers the most critical question in trading: **"Is money flowing into or out of this asset?"** By combining volume analysis with price action, Arpaket_FLOW calculates a **Flow Score (0-100)** that tells you: - **Above 70**: Strong money inflow → Bullish bias - **50-70**: Moderate inflow → Cautiously bullish - **30-50**: Neutral zone → Wait for confirmation - **Below 30**: Strong money outflow → Bearish bias --- ### 🔬 How It Works Arpaket_FLOW combines **6 powerful indicators** into one unified score: | Component | Weight | Purpose | |-----------|--------|---------| | **Volume Ratio** | 25% | Detects unusual volume activity | | **Money Flow Index (MFI)** | 20% | Measures buying/selling pressure with volume | | **Chaikin Money Flow (CMF)** | 20% | Identifies accumulation/distribution | | **On-Balance Volume (OBV)** | 15% | Tracks volume flow direction | | **RSI Momentum** | 10% | Confirms price momentum | | **VWAP Deviation** | 10% | Institutional price reference | --- ### ✨ Key Features #### 🎛️ Multi-Asset Adaptation - **Crypto Mode**: Higher volatility thresholds + Whale detection - **Low Liquidity Stocks**: Adjusted sensitivity for thin markets (SET Index, Small Caps) - **High Liquidity Markets**: Standard settings for Forex, Major Indices #### ⏱️ Multiple Trading Styles - **Scalping** (1-5 min): Ultra-fast signals with noise filtering - **Day Trading** (15min-1H): Balanced speed and reliability - **Swing Trading** (4H-Daily): Multi-timeframe confirmation - **Position Trading** (Weekly+): Long-term flow analysis #### 🐋 Whale Detection (Crypto) Automatically detects unusual large-volume activity that may indicate whale accumulation or distribution. When volume exceeds 3x the average, a whale marker (🐋) appears on the chart. #### 📊 Multi-Timeframe Panel For Swing and Position traders, view flow direction across 4 timeframes (1H, 4H, Daily, Weekly) simultaneously to ensure alignment before entering trades. #### 📋 Real-Time Dashboard A clean dashboard displaying: - Flow Direction (Inflow/Outflow/Neutral) - Flow Score (0-100) - Flow Strength (Weak/Moderate/Strong/Extreme) - Volume Status (Normal/Surge/Whale) - MFI & CMF readings - Overall Signal (Buy/Sell/Neutral) #### ⚠️ Divergence Detection Automatically identifies bullish and bearish divergences between price and money flow, providing early reversal warnings. --- ### 📖 How To Use #### Basic Usage: 1. **Select your Market Type** in settings (Crypto/Low Liquidity/High Liquidity) 2. **Select your Trading Style** (Scalping/Day Trading/Swing/Position) 3. **Watch the histogram**: - Green bars = Money flowing IN (bullish) - Red bars = Money flowing OUT (bearish) - Bar height = Flow intensity #### Signal Interpretation: | Signal | Meaning | Suggested Action | |--------|---------|------------------| | 🟢 Green Triangle | Strong buy signal | Consider long entry | | 🔴 Red Triangle | Strong sell signal | Consider short/exit | | 🐋 Whale Icon | Large player activity | Watch for direction | | DIV Label | Divergence detected | Potential reversal | #### Best Practices: - Use **higher timeframes** for trend direction - Use **lower timeframes** for entry timing - Wait for **MTF alignment** (3+ timeframes agreeing) for higher probability trades - Combine with support/resistance levels for optimal entries --- ### ⚙️ Settings Guide #### General Settings - **Market Type**: Match to your traded asset - **Trading Style**: Match to your timeframe - **Sensitivity**: Conservative (fewer signals) → Aggressive (more signals) #### Period Settings - **Fast Period**: Short-term calculation (default: 7) - **Slow Period**: Long-term calculation (default: 21) - **Signal Smoothing**: Reduces noise (default: 5) #### Alert Settings - **Buy Threshold**: Score level for buy signals (default: 70) - **Sell Threshold**: Score level for sell signals (default: 30) - **Volume Surge Multiplier**: Volume spike detection (default: 2.0x) - **Whale Multiplier**: Whale detection threshold (default: 3.0x) --- ### 🔔 Available Alerts 1. **Strong Buy/Sell Signal** - When confirmed signals trigger 2. **Enter Buy/Sell Zone** - When score crosses thresholds 3. **Whale Activity** - Accumulation or distribution detected 4. **Bullish/Bearish Divergence** - Price/flow divergence 5. **Volume Surge** - Unusual volume spike 6. **MTF Alignment** - Multiple timeframes agree 7. **Extreme Conditions** - Score above 90 or below 10 8. **Flow Reversal** - Direction change confirmed --- ### 📈 Recommended Combinations This indicator works best when combined with: - **Support/Resistance levels** for entry points - **Trend lines** for direction confirmation - **Moving Averages** (EMA 20/50/200) for trend context - **Price Action patterns** for timing --- ### ⚠️ Disclaimer This indicator is a tool to assist in trading decisions, not a guarantee of profits. Always: - Use proper risk management - Never risk more than you can afford to lose - Backtest before live trading - Consider multiple factors before entering trades Past performance does not guarantee future results. Trading involves substantial risk of loss. --- ### 🙏 Credits & Acknowledgments This indicator combines concepts from: - Money Flow Index (Gene Quong & Avrum Soudack) - Chaikin Money Flow (Marc Chaikin) - On-Balance Volume (Joe Granville) - Volume-Weighted Average Price (Institutional standard) --- ### 💬 Feedback If you find this indicator helpful, please leave a comment or like! Your feedback helps improve future updates. For questions or suggestions, feel free to comment below. **Happy Trading!** 🚀 --- ## 🏷️ Suggested Tags (for TradingView) ``` moneyflow, volume, smartmoney, whaledetection, crypto, stocks, forex, mfi, cmf, obv, vwap, multitimeframe, buysellindicator, flowanalysis, accumulation, distribution ``` --- ## 📸 Suggested Screenshots to Include 1. **Main Chart View** - Show the indicator with histogram and dashboard 2. **Buy Signal Example** - Zoom in on a successful buy signal 3. **Whale Detection** - Show crypto chart with whale markers 4. **MTF Panel** - Display multi-timeframe alignment 5. **Settings Panel** - Show available customization options
Pine Script® indicator
by golfcu
MACD Matrix: Angle & SettlementThis indicator is a comprehensive Multi-Timeframe (MTF) Dashboard designed for technical traders who rely on MACD not just for crossovers, but for Momentum Angle and Settlement (Hooks). Instead of cluttering your screen with 5 different MACD charts, this Matrix calculates the math in the background and presents a clean "Heads-Up Display" of the MACD state across your specific timeframes (Default: 3m, 15m, 1h, 4h, 16h). The Concept: "Angle Settlement" Standard MACD indicators only show you when a cross happens. By then, the move is often halfway over. This script focuses on the Angle (Slope) of the MACD line to predict turns before they happen: Steep Angle: Momentum is accelerating. (Strong Trend) Settling Angle: The slope is flattening out. The MACD line is "hooking." (Reversal/Cross Imminent) Dashboard Columns Explained TF (Timeframe): Auto-formats your settings into readable text (e.g., "240" becomes "4h"). Zone: > 0 (Green): MACD is above the Zero Line (Bullish Trend context). < 0 (Red): MACD is below the Zero Line (Bearish Trend context). Cross: PCO (Green): Positive Crossover (MACD > Signal). NCO (Red): Negative Crossover (MACD < Signal). Deg (°): The calculated mathematical angle of the MACD line. Positive (+): Momentum is rising. Negative (-): Momentum is falling. State (The Strategy): STEEP (Bright Color): The angle is increasing. Do not trade against this momentum. SETTLE (Dim Color): The angle is decreasing compared to the previous bar. The momentum is "cooling off," often signaling a "Hook" or an upcoming crossover. Settings & Customization Custom Timeframes: You can freely change TF-1, TF-2, etc., in the settings. The table labels will auto-update (e.g., if you change 4h to 1D, the table will display "1D"). MACD Lengths: Fully customizable (Default 12, 26, 9). Angle Sensitivity: A multiplier to calibrate the "Degrees" to your specific asset class (Crypto, Forex, or Indices). If angles look too small, increase this value.
Pine Script® indicator
by PratikKharat1990
Aura Vortex Oscillator [Pineify]Aura Vortex Oscillator – Adaptive Momentum with Visual Depth The Aura Vortex Oscillator is a sophisticated momentum indicator that transforms raw price action into a visually immersive analytical tool. By combining Sigmoid-based normalization through ArcTan mathematics with adaptive momentum calculations, this oscillator delivers clear, bounded signals while filtering market noise. The distinctive "Vortex Mesh" visualization creates a layered depth effect that reveals trend consensus across multiple smoothing periods. Key Features Sigmoid normalization using ArcTan function for bounded output (-100 to +100) Adaptive momentum calculation with standard deviation normalization Multi-layered "Vortex Mesh" creating visual depth and trend confluence signals Dynamic color-coded visualization for instant trend recognition Zero-line crossover signals with plotted reversal markers Extreme zone highlighting for overbought/oversold conditions How It Works The core calculation begins with computing the Z-score of price relative to its simple moving average, normalized by standard deviation. This adaptive component automatically adjusts sensitivity based on recent volatility. The normalized value then passes through an ArcTan function, which acts as a sigmoid transformation, "squarifying" the output to emphasize extreme conditions while keeping values bounded. os = atan(z × intensity) × 63.66 The multiplier 63.66 scales the output to approximately -100 to +100, providing intuitive overbought/oversold levels at ±50. Trading Ideas and Insights Use zero-line crossovers as primary trend change signals – bullish when crossing above, bearish when crossing below Monitor the Vortex Mesh thickness – a thick, solid aura indicates strong trend consensus across timeframes Watch for background highlighting at ±50 levels to identify statistical extremes for potential reversals Combine with price action analysis when the oscillator reaches boundary zones How Multiple Indicators Work Together The Aura Vortex Oscillator integrates three technical concepts into one cohesive system. The adaptive momentum calculation provides the raw signal, responding dynamically to market volatility. The ArcTan normalization bounds this signal and emphasizes extremes without clipping. Finally, the Vortex Mesh applies multiple EMA smoothing layers to the base signal, creating visual depth that shows whether different momentum speeds agree on trend direction. Unique Aspects Unlike traditional oscillators that show a single line, this indicator visualizes momentum as a "thermal field" through its layered mesh system. The mesh expands and contracts based on trend agreement – a thick, cohesive glow suggests high-confluence momentum, while a thin, scattered appearance warns of choppy, range-bound conditions. How to Use Add the indicator to your chart as a separate pane Look for color transitions (green to red or vice versa) at zero-line crosses for trend reversals Use the ±50 boundary zones and background highlighting to identify overextended conditions Enable the Vortex Mesh to visualize trend strength and momentum consensus Customization Vortex Sensitivity (20) : Base period for momentum calculation – lower values increase responsiveness Vortex Intensity (2.0) : Amplifies signal squarification – higher values push readings toward extremes faster Aura Smoothing (8) : EMA period for the main signal line – higher values reduce noise Enable Vortex Mesh : Toggle the layered visualization effect Color Settings : Customize bullish, bearish, and neutral colors Conclusion The Aura Vortex Oscillator offers traders a unique perspective on momentum analysis by combining mathematical rigor with innovative visualization. Its adaptive normalization ensures reliable signals across different market conditions, while the Vortex Mesh provides instant visual feedback on trend quality. Whether you are identifying trend reversals, measuring momentum strength, or seeking confluence confirmation, this oscillator delivers actionable insights in an intuitive format.
Pine Script® indicator
by Pineify
Anchored VWAP PercentageINDICATOR: ANCHORED VWAP PERCENTAGE (AVWAP) 1. Overview The Anchored VWAP Percentage (AVWAP) is a quantitative momentum and mean-reversion tool. It measures the percentage distance between the current price and a Volume Weighted Average Price (VWAP) that resets automatically based on specific time cycles. It allows traders to identify overextended market conditions relative to institutional value. --- 2. Core Logic & Calculation The script tracks the relationship between price and volume starting from a specific Anchor Point . * Volume-Weighted Foundation: Unlike simple moving averages, this indicator uses the VWAP formula: sum(Volume * Price) / sum(Volume) . * Automatic Anchoring: The starting point (Anchor) resets automatically depending on the chart timeframe (e.g., resets weekly on a 15m chart, or yearly on a Daily chart). * Percentage Deviation: It calculates the precise gap between the price and the VWAP, plotted as an oscillator: ((Price - VWAP) / VWAP) * 100 . --- 3. Adaptive Intelligence (Multi-Asset & Multi-TF) The AVWAP is built with an internal database of 85th Percentile (P85) volatility thresholds. It recognizes that different assets have different "stretching" limits: 1. Asset-Specific Calibration: It includes optimized data for Bitcoin, Ethereum, Altcoins, Forex, and Indices . 2. Dynamic Timeframe Mapping: The anchor period and the exhaustion thresholds adjust automatically. For example: * Intraday (1m-5m): Anchors to an 8-hour (480 min) cycle. * Mid-Term (15m-60m): Anchors to a Weekly (W) cycle. * Swing (Daily): Anchors to a Yearly (12M) cycle. --- 4. Visual Anatomy The indicator is designed for high-speed decision-making: * The Histogram: * Green: Price is trading above the VWAP (Bullish premium). * Red: Price is trading below the VWAP (Bearish discount). * P85 Threshold Lines: * These lines represent the 85th percentile of historical deviations . Historically, the price stays within these boundaries 85% of the time. * Background Highlighting: When the histogram crosses the P85 line, the background glows, signaling a Statistical Exhaustion Zone where a retracement to the mean is highly probable. --- 5. How to Trade with AVWAP * Mean Reversion: When the histogram reaches the P85 Zone , the price is "statistically overextended." This is a prime area to look for reversals or to take profits on existing trends. * Trend Strength: If the histogram stays near the Zero Line while the price moves, the trend is supported by healthy volume. * Value Area: The Zero Line represents the Fair Value . Buying near the Zero Line during a bullish histogram (Green) offers a high-probability entry with low risk. --- 6. Technical Parameters * Asset Selection: A dropdown to switch between Crypto, Forex, and Indices. * Color Customization: User-defined colors for bullish and bearish sentiment. * Precision Control: 4-decimal precision for accurate tracking of thin-margin assets like Forex.
Pine Script® indicator
by AlchimistOfCrypto
1