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Momentum Oscillators

Order Flow Asymmetry [JOAT]Order Flow Asymmetry Introduction Order Flow Asymmetry is an open-source synthetic institutional order flow indicator that tracks four independent measures of directional institutional activity — Volume-Weighted Momentum, Liquidity Vacuum detection, Microstructure Imbalance scoring, and a dynamic Information Ratio Band system — and classifies the current market into one of four regime states based on trend direction and volatility level. Smart money signals are generated only when regime, VWM direction, imbalance score, and the absence of a liquidity vacuum all align simultaneously. The core thesis is that institutional participants leave statistical footprints in price and volume data that can be approximated without access to full order book data. When a large participant is absorbing supply, the result is: above-average volume, below-average price movement, high close-to-range ratio biased toward the institutional direction, and a cumulative imbalance in the bid-side proxy. Order Flow Asymmetry tracks these proxies simultaneously rather than relying on any single measure. Core Concepts 1. Volume-Weighted Momentum (VWM) VWM weights each bar's price change by its volume — large-volume bars contribute more to the running total than small-volume bars. The cumulative result is then normalized relative to the 20-bar average volume, producing a -50 to +50 reading: float vwm = ta.cum(ta.change(close) * volume) / ta.ema(volume, 20) float vwmNorm = (vwm - ta.lowest(vwm,100)) / math.max(ta.highest(vwm,100) - ta.lowest(vwm,100), 1e-9) * 100 - 50 A crossover of zero in either direction is the primary momentum signal. 2. Liquidity Vacuum Detection A liquidity vacuum occurs when volume collapses below two standard deviations of its 50-bar mean while price moves more than one ATR in the same bar. This pattern indicates a move through a region with no counterparty liquidity — a potential institutional trap. Vacuum bars are marked with three-layer glow boxes and treated as signal inhibitors. 3. Microstructure Imbalance Score A bar-level bid/ask proxy is computed from close position within the high-low range. Bars closing in the upper half of their range contribute positive imbalance; bars closing in the lower half contribute negative. A 93% decay factor is applied each bar, producing a running imbalance score that emphasizes recent activity while retaining historical context. 4. Four-State Regime Classification The regime is determined by two binary conditions: ADX above threshold (trending vs. ranging) and ATR ratio above threshold (high vs. low volatility). This produces four states: Trend Bull, Trend Bear, Range High-Vol, Range Low-Vol. Each state receives a distinct background tint. Smart money signals require a Trend state — signals in Range states are suppressed. 5. Information Ratio Bands Standard deviation bands are computed from the MIDAS VWAP. The band width multiplier is dynamically set by the rolling Sharpe ratio estimate of recent returns — periods with higher risk-adjusted returns produce narrower bands, while periods with lower Sharpe ratios produce wider bands. float sharpe = ta.ema(ret20, 20) / math.max(ta.stdev(ret20, 20), 1e-8) float kFactor = math.max(0.5, math.min(3.0, math.abs(sharpe) * 2)) Features Volume-Weighted Momentum: Cumulative volume-weighted price change normalized to -50/+50 range Institutional VWAP center line: Thick reference line showing the cumulative volume-weighted average price anchor — the central institutional value reference VWM gradient fill zones: Bull zone fills between VWAP and upper VWM level in bull theme color; bear zone fills between VWAP and lower VWM level in bear theme color — intensity reflects VWM magnitude IR Band gradient fill: Subtle gradient fill between upper and lower Information Ratio bands shows the full Sharpe-adjusted deviation range Regime transition markers: Every regime change draws a vertical dotted line plus a direction label (▲ TrendBull / ▼ TrendBear / ◆ RngHVol / ◇ RngLVol) — institutional regime context at a glance Absorption / Distribution labels: "Absorption" label when cumulative microstructure imbalance score exceeds extreme threshold; "Distribution" label when it falls below. Identifies potential institutional accumulation/distribution zones Smart money signal markers: "▲ SMART LONG" / "▼ SMART SHORT" labels with embedded VWM and Imbalance values, plus a vertical dotted line through each signal bar for visual alignment Liquidity vacuum detection: Volume collapse + ATR-relative move identifies institutional trap zones with 3-layer glow visualization and "Vacuum" text label Microstructure imbalance score: Decaying cumulative bid/ask proxy normalized by ATR, displayed in dashboard Four-state regime classification: Trend Bull / Trend Bear / Range High-Vol / Range Low-Vol from ADX and ATR ratio — distinct background tints for each state Information Ratio Bands: VWAP deviation bands with width dynamically set by rolling Sharpe estimate Gradient candle coloring by VWM: Bar colors reflect normalized VWM intensity using color.from_gradient() when VWM exceeds threshold in trend direction Three-layer glow candles (optional): Institutional-style neon glow candle effect 12-row institutional dashboard: Regime, VWM, vacuum state, imbalance score, Sharpe k-factor, IR band levels, signal, win rate, and performance stats Four color themes: Phantom, Neon, Classic, Solar Non-repainting: All signals gated by barstate.isconfirmed; all inputs are historical only Input Parameters Volume-Weighted Momentum: Volume Average Length (default: 20) VWM Cross Threshold (default: 5.0) Liquidity Vacuum: Volume Mean Length, Sigma Below Mean, Vacuum Zone Width, Glow Strength Microstructure Imbalance: Imbalance Decay Factor (default: 0.93) Imbalance Signal Gate (default: 15.0) Regime Classification: ADX Trend Threshold (default: 25) ATR Ratio High-Vol Threshold (default: 1.2) Information Ratio Bands: Show IR Bands toggle Sharpe Window (default: 20) Signal: Cooldown Bars, TP ATR Multiple, SL ATR Multiple, Show Trade Block, Block Width How to Use This Indicator Step 1: Identify the Regime Check the dashboard Regime row. Smart money signals only fire in Trend Bull or Trend Bear states. During Range states, no signals are generated regardless of VWM direction. Step 2: Watch for VWM Zero Cross The VWM crossing zero in the direction of the trend regime is the primary trigger. Ensure no vacuum is active on the signal bar — vacuum bars inhibit signals because they represent suspect moves without genuine counterparty support. Step 3: Check Imbalance Score The imbalance score reflects cumulative directional bias in bid/ask proxy. A score above the gate threshold in the trend direction adds confidence. A score contradicting the trend direction is a warning. Step 4: Use IR Bands as Dynamic Reference The Information Ratio bands widen in low-Sharpe environments (price distributing far from VWAP) and narrow in high-Sharpe environments (price efficiently priced near VWAP). These bands serve as dynamic reference levels rather than fixed targets. Indicator Limitations VWM uses tick volume as a proxy for institutional participation. On forex spot and some crypto venues, tick volume may not accurately represent actual participation The microstructure imbalance score uses bar close position as a bid/ask proxy. This is an approximation — actual bid-ask data is not available in standard TradingView data Regime classification uses ADX and ATR ratio, both of which lag price. A trend beginning explosively will be classified as ranging for several bars until indicators respond The Information Ratio Band width is driven by a 20-bar Sharpe estimate, which is an extremely short window for a reliable Sharpe computation. It should be interpreted as a dynamic band-width scaler rather than a statistically significant Sharpe ratio Smart money signals are rare by design — the four-condition gate produces low-frequency output Originality Statement The combination of Volume-Weighted Momentum, Liquidity Vacuum detection as a signal inhibitor, a decaying Microstructure Imbalance score, and Information Ratio Bands with Sharpe-driven width — all gated by a four-state regime classification — is an original analytical architecture not replicated in existing open-source Pine Script v6 publications Treating liquidity vacuums as signal inhibitors rather than signals themselves — suppressing momentum signals that occur immediately after a volume-collapse move — is a novel application of vacuum detection logic Dynamic VWAP deviation band width driven by a rolling Sharpe ratio estimate rather than a fixed multiplier provides adaptive band boundaries that reflect the current efficiency of price relative to VWAP Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice. Trading involves substantial risk of loss. Synthetic order flow measures are approximations that use publicly available price and volume data as proxies for actual institutional activity. Past signal performance does not predict future results. The author accepts no responsibility for trading losses resulting from use of this indicator. Made with passion by jackofalltrades
Pine Script® indicator
by officialjackofalltrades
Volume Drift Profile [JOAT]Volume Drift Profile Introduction Volume Drift Profile is an open-source trend detection indicator that derives directional bias from rolling pivot averages rather than fixed moving averages, and visualizes volume directly on the drift lines themselves as a histogram. The volume histogram coloring adapts to three modes — delta (buy-sell pressure gradient), trend (directional mono-color), and spike-highlighted — making the volume context immediately readable without a separate volume panel. Most trend indicators separate the price trend line from the volume analysis. The trend line tells you the direction; you look at a separate volume bar panel to interpret whether that direction is supported. Volume Drift Profile overlaps both by rendering volume bars along the drift lines themselves, so the relationship between trend level and volume support is visually immediate. Core Concepts 1. Pivot Drift Line Calculation The upper drift line is the rolling average of the most recent N confirmed pivot highs. The lower drift line is the rolling average of the most recent N confirmed pivot lows. This produces smoothed, structurally-anchored reference levels that adapt as new pivots confirm, rather than a fixed-period moving average that treats all bars equally. if not na(ph) phArr.push(ph) if phArr.size() > avgCount : phArr.shift() upperDrift := phArr.avg() Trend flips when price crosses above the upper drift (bull) or below the lower drift (bear). 2. Volume Normalization Volume is normalized by its 200-bar standard deviation, capped at 4. This z-score-like measure produces a 0-4 scale where 4 represents an extreme volume spike. The step height of each volume bar on the drift line is proportional to this normalized value, so spike bars visually dominate the histogram. 3. Three Volume Coloring Modes Delta mode computes a buy ratio from (close - low) / (high - low) and maps it through color.from_gradient() between the bear and bull theme colors. Bars with higher closes relative to their range appear in bull color; lower closes in bear color. Volume intensity is further modulated by the normalized volume level. Trend mode uses a single directional color with intensity modulated by normalized volume. Spike mode uses trend color normally but switches to a dedicated spike color for bars where normalized volume reaches the extreme level. 4. Absorption Detection An absorption bar is identified when volume exceeds twice the 20-bar average (high institutional participation) while the body-to-range ratio is below 30% (price closes near where it opened). This pattern suggests large volume without directional price movement — potential institutional accumulation or distribution. 5. Volume-Weighted Momentum A running Volume-Weighted Momentum reading tracks cumulative signed volume weighted by price change, normalized to a readable scale. This reading reflects directional institutional bias — rising VWM during an uptrend suggests genuine buying pressure supports the move. Features Pivot drift lines: Upper and lower drift from rolling average of last N confirmed pivot highs and lows Volume histogram on drift lines: Volume bars rendered along the active drift line, sized by normalized volume Three volume coloring modes: Delta (buy-sell gradient), Trend (directional mono), Spikes (trend + spike highlights) Gradient fill between drift and price: Translucent fill between the active drift line and current price Candle volume coloring: Optional bar coloring by volume intensity and trend direction simultaneously Spike detection and highlighting: Bars with extreme normalized volume shown in dedicated spike color Absorption detection: High-volume, small-body bars marked as potential institutional absorption events Volume-Weighted Momentum display: VWM reading normalized and displayed in dashboard Trend flip labels: Clean text labels at trend reversal points with direction indicator Non-repainting: Pivot detection uses standard confirmed pivot functions with symmetric lookback Dashboard: 8-row table with trend direction, volume mode, volume intensity, absorption state, spike state, bars in trend, and VWM Input Parameters Drift Structure: Pivot Lookback: Bars required on each side for pivot confirmation (default: 8) Pivot Avg Count: Number of pivots to average for drift line (default: 3) Volume: Volume Color Mode: Delta / Trend / Spikes Histogram Height: Scale of volume bars on drift line (default: 0.3) Show Volume Histogram toggle Color Price Bars toggle Show Drift Fill toggle Spike Color Absorption: Show Absorption Dots toggle Absorption Volume Multiple (default: 2.0) Max Body Ratio for absorption detection (default: 0.3) How to Use This Indicator Step 1: Read the Drift Line Direction The active drift line (lower drift in uptrend, upper drift in downtrend) is the primary trend reference. When price is above the lower drift, the trend is bullish. When price crosses the upper drift downward, the trend flips bearish. Step 2: Interpret Volume Histogram Color In Delta mode, teal/bull-colored bars represent buying pressure dominating that bar; bear-colored bars represent selling pressure. When large volume bars appear in the trend direction, it confirms the drift. Step 3: Monitor Absorption Events Absorption dots mark bars where institutional participants may be accumulating. Large absorption bars at drift line levels are particularly significant — they suggest the drift level is actively defended. Step 4: Use VWM as Direction Confirmer Rising VWM during an uptrend means volume-weighted momentum supports price movement. Flat or declining VWM during an uptrend flags weak participation — a potential warning of trend exhaustion. Indicator Limitations Drift lines require at least N confirmed pivots to begin rendering. In early bars of a new chart, the lines will be absent The volume histogram renders along the drift line. In periods of very high drift line slope, the histogram may visually overlap the price range Absorption detection uses volume relative to a 20-bar average. In low-liquidity environments, the threshold may trigger on routine trading activity The pivot lookback introduces a lag between when a pivot forms and when the drift line updates Originality Statement Rendering a volume histogram directly along pivot drift lines — rather than in a separate panel — as a real-time visualization that integrates trend level and volume support in a single overlay is an original approach Three independently selectable volume coloring modes driven by a normalized volume z-score, combined with buy-ratio gradient coloring in delta mode, is not replicated in existing open-source pivot drift indicator publications Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice. Trading involves substantial risk of loss. The author accepts no responsibility for trading losses resulting from use of this indicator. Made with passion by jackofalltrades
Pine Script® indicator
by officialjackofalltrades
Dynamic Price Oscillator Overlay (Zeiierman)█ Overview Dynamic Price Oscillator Overlay (Zeiierman) is a volatility-adjusted momentum overlay that transforms oscillator behavior directly onto the price chart. Instead of displaying momentum in a separate pane, the indicator wraps a dynamic oscillator around an adaptive price anchor, allowing traders to visualize momentum expansion, contraction, and directional bias directly within price action. The calculation combines long-term price displacement with volatility-adjusted movement and then applies Bollinger Band analysis to identify statistically stretched market conditions. The result is a dynamic price-following structure that highlights momentum extremes, trend transitions, and overextended conditions while remaining visually integrated with the chart. █ How It Works ⚪ Volatility-Adjusted Price Engine The indicator begins by measuring market volatility using True Range. volAdjPrice = ta.ema(trueRange(high, low, close), length) This creates a dynamic volatility component that adapts to changing market conditions. ⚪ Dual Momentum Calculation The oscillator combines two independent measurements: • Long-term price displacement priceChange = close - close • Volatility-adjusted price movement priceDelta = close - volAdjPrice These components are blended together and smoothed. oscillator = ta.ema(math.avg(priceDelta, priceChange), smoothFactor) The result is a momentum engine that reacts to both directional movement and changing volatility. ⚪ Dynamic Oscillator Bands The oscillator is surrounded by two Bollinger Band structures. Standard bands identify elevated momentum conditions while expanded bands identify extreme momentum conditions. = bollingerBands(oscillator, length * 5, 1) = bollingerBands(oscillator, length * 5, 2) These bands create adaptive thresholds that expand and contract as market behavior changes. ⚪ Dynamic Mean The indicator calculates a central equilibrium level using the midpoint of the expanded Bollinger Bands. mean = math.avg(bbHighExp, bbLowExp) This serves as the oscillator's primary trend reference. ⚪ Price Overlay Projection Rather than plotting the oscillator separately, the indicator wraps the oscillator around a moving price anchor. priceAnchor = ta.ema(close, anchorLength) The oscillator is projected directly onto the chart: overlayOsc = priceAnchor + oscillator - mean This creates a momentum structure that follows price while preserving oscillator behavior. █ How to Use ⚪ Dynamic Price Oscillator Overlay • When the oscillator line remains above the Dynamic Mean, momentum conditions are generally bullish. • When the oscillator line remains below the Dynamic Mean, momentum conditions are generally bearish. ⚪ Mean Crosses The Dynamic Mean acts as the primary trend reference. • Bullish Cross: The oscillator line crosses above the mean. • Bearish Cross: The oscillator line crosses below the mean. These signals often represent transitions between bullish and bearish momentum regimes. ⚪ Mean Retests The Dynamic Mean acts as the primary momentum equilibrium level. • Bullish Retest: The price pulls back toward the mean from above and holds. • Bearish Retest: The price rallies back toward the mean from below and rejects. Successful retests suggest the current momentum regime remains intact and may continue in the prevailing direction. ⚪ Bollinger Breakouts The standard Bollinger Bands identify strong momentum expansions. • Bullish Breakout: The oscillator line closes above the upper band. • Bearish Breakout: The oscillator line closes below the lower band. These conditions suggest momentum is becoming unusually strong. Bullish breakouts above the upper band may indicate overbought conditions, while bearish breakouts below the lower band may indicate oversold conditions. ⚪ Expanded Bollinger Extremes The expanded Bollinger Bands represent statistically extreme momentum conditions. • Bullish Extreme: The oscillator line exceeds the expanded upper band. • Bearish Extreme: The oscillator line exceeds the expanded lower band. These events occur less frequently and often identify powerful directional moves or temporary exhaustion phases. ⚪ Momentum Context The indicator should not be viewed as a simple overbought or oversold tool. Instead, it measures how far momentum has deviated from its dynamic equilibrium while continuously adapting to current volatility conditions. The interaction between the oscillator, mean, and adaptive bands provides a framework for identifying: • Trend continuation • Momentum expansion • Momentum exhaustion • Volatility shifts • Regime transitions The result is a price-integrated momentum model that provides both trend context and extreme-condition analysis within a single overlay. █ Related Scripts Dynamic Price Oscillator (Zeiierman) █ Settings Length: Controls the primary lookback period used throughout the oscillator calculations and Bollinger Band framework. Smoothing Factor: Controls the responsiveness of the oscillator. Higher values produce smoother movement while lower values increase sensitivity. Price Anchor Length: Determines the EMA length used to anchor the overlay structure to price. ----------------- Disclaimer The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information. All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
Pine Script® indicator
by Zeiierman
7
Elite Oscillator ProElite Oscillator Pro is a visual momentum oscillator designed to provide a cleaner reading of overbought, oversold, neutral, and momentum-transition conditions in a separate oscillator pane. The script can calculate its base oscillator using either Stochastic or RSI logic. The selected oscillator is then processed through a two-step smoothing engine to reduce short-term noise and make momentum transitions easier to read visually. The goal of this indicator is not to predict future price movement or generate automatic trading instructions. It is intended as a visual analysis tool that helps users observe momentum structure, oscillator regime changes, and transitions around predefined levels. Main features: • Dual calculation mode The user can choose between a Stochastic-based oscillator and an RSI-based oscillator. • Custom source selection The selected source is used in the oscillator calculation, allowing the user to adapt the tool to different price inputs. • Double smoothing engine The raw oscillator is smoothed twice with configurable lengths. This is designed to make the oscillator less noisy while preserving the main directional movement. • Configurable levels The script includes adjustable overbought, oversold, midline, neutral-band, upper-bound, and lower-bound levels. • Bull and bear pressure gradients The oscillator area is visually separated around the midline. Positive momentum above the midline and negative momentum below the midline are displayed with separate gradient regions. • Neutral band A configurable neutral zone can be displayed between the upper and lower neutral-band levels. This helps identify when momentum is not clearly extended in either direction. • Signal dots The script displays optional dots for specific oscillator states: * Green dots mark overbought conditions. * Red dots mark oversold conditions. * Orange dots mark bullish momentum crosses. * Magenta dots mark neutral-band events or neutral-band zone conditions. The dot logic can be set to either “Events” or “Zones”. In Events mode, dots appear only when a condition is newly triggered. In Zones mode, dots remain visible while the condition is active. • Alerts The script includes alert conditions for overbought entry, oversold entry, exits from those zones, bullish momentum crosses, and bearish momentum crosses. How to use: 1. Choose the calculation mode: Stochastic or RSI. 2. Adjust the oscillator length and smoothing settings to match the symbol and timeframe being analyzed. 3. Use the overbought and oversold levels to identify extended oscillator conditions. 4. Use the midline and neutral band to evaluate whether momentum is directional or balanced. 5. Use the dots as visual markers of oscillator state changes, not as standalone trade entries. 6. Combine this oscillator with price structure, trend context, volume, and risk management before making any trading decision. Important limitations: • This script is an indicator, not a strategy. • It does not place trades. • It does not manage risk. • It does not provide financial advice. • It does not guarantee profitable results. • Overbought does not automatically mean price must fall. • Oversold does not automatically mean price must rise. • Momentum crosses can fail during ranging or volatile markets. • Users should test settings on their own symbols and timeframes before relying on the visual output. This indicator is best used as a momentum-context tool, not as a standalone entry or exit system.
Pine Script® indicator
by Alpha_Wizard
Artemis Squeeze Momentum🟦 Artemis Squeeze Momentum collapses an entire momentum-and-volatility workflow into a single oscillator pane. Eight analytical layers — Squeeze Momentum core, Directional Flux, three-tier compression detection with a release tracker, dual confluence gauges, dual anchor Regular + Hidden divergence with a Smart AI Filter, a composite Trend Strength Score (0–100), a four-timeframe MTF Confluence panel with alignment / divergence detection, and a theme-adaptive PRO dashboard — operate as one integrated system, all driven by a single theme dropdown across 12 cohesive palettes. Most squeeze indicators ship as a strip of black-and-red dots with a lone momentum histogram, then require a separate ADX, a separate divergence tool and a separate confluence gauge to complete the read. Artemis Squeeze Momentum closes that gap: every compression tier, every directional cross, every divergence, every higher-timeframe bias reads from the same pane in the same colour language — no inline colour pickers, no palette drift, no pane-hopping. The result is a complete momentum workbench where compressions, breakouts, regime flips, divergences and multi-TF bias are all readable at a glance. 🟦 HOW THE CORE ENGINE WORKS **Squeeze Momentum Engine** Each bar, the engine builds three anchors over the Momentum Length window: 1. **Channel midpoint** — `(highest(high, len) + lowest(low, len)) / 2` 2. **Smoothed midline** — `SMA(HL2, len)` 3. **Channel ATR** — channel range plus the gap-to-prior-close component (matches Pine v5 `tr(true)` on the synthetic channel bar) The raw momentum is then computed as: mom_raw = (close − avg(channelMid, smaMid)) / channelATR × 100 This produces a channel-aware, ATR-normalized residual scaled to roughly the ±100 range. The result is then passed through `ta.linreg(mom_raw, len, 0)` to produce the visible momentum line — a linear-regression smoothing that gives the curve its characteristic forward-leaning shape. An SMA of length Signal Length builds the trigger line. Crossovers between momentum and signal mark momentum regime changes — the same convention used by classical MACD. **Directional Flux** A custom ADX-style oscillator running in parallel. Each bar, the engine measures positive high-changes vs. negative low-changes, each RMA-smoothed and ATR-normalized: up = RMA(max(change(high), 0), len) / ATR(len) dn = RMA(max(−change(low), 0), len) / ATR(len) ratio = (up − dn) / (up + dn) flux = RMA(ratio, len / 2) × 100 The result is a directional bias oscillator bounded to ±100. An overflow branch (values past ±25 — where the directional pressure becomes structurally significant) renders as a separate, brighter fill so traders read both raw direction and acceleration in one glance. **Heiken Ashi Bias (Optional)** When `Use Heiken Ashi Bias` is enabled, the Flux engine reads from a Heiken Ashi bar stream instead of raw OHLC. HA bars smooth body / wick noise and emphasise trend continuation — useful on lower timeframes where raw OHLC is noisy. 🟦 SQUEEZE DETECTION A three-tier Bollinger-vs-ATR compression detector running on the same Length as the Momentum Core (so compression and momentum stay perfectly aligned): | Tier | Condition | Visual | |---|---|---| | Tight | stdev < ATR × 0.5 | Deepest, most saturated theme tone | | Mid | stdev < ATR × 0.75 | Middle-intensity theme tone | | Loose | stdev < ATR × 1.0 | Lightest tier — broadest detection | Tiers nest — tight implies mid implies loose. The bottom-of-pane squeeze column lights up whenever any tier is active and the colour escalates as compression tightens, using a theme-native ramp drawn from each palette's own colour family (so the column reads as part of the theme rather than an imported generic warning). The standard deviation is computed via a single-pass Welford algorithm — numerically stable on long histories where naive sum-of-squares accumulators drift. **♦ Squeeze Release Marker** The signature feature of the engine. The bar after the loosest active tier (stdev < ATR × 1.0) finally drops off, a tiny ♦ diamond paints at the midline in the theme's vivid release accent — one step brighter and more saturated than the tight tier so the climax moment reads as the most luminous point in the squeeze cycle. This is the canonical "spring uncoiled" moment: compression has fully ended, volatility expansion begins, breakout direction is about to reveal itself. Historically the highest-conviction breakout setup the squeeze model produces. Hovering on the marker surfaces: - Current bar state (compression ended this bar) - Meaning (volatility expansion incoming) - Next steps (watch the next 1–5 bars, confirm with Momentum slope, cross-check Flux, prioritise MTF-aligned setups) 🟦 CONFLUENCE GAUGES Two horizontal strips render at the top (Bull side, +70 to +75) and bottom (Bear side, −70 to −75) of the pane. Each strip lights up when momentum and flux agree on direction, with brightness reflecting the confluence tier: | State | Condition | Opacity | |---|---|---| | Strong Bull | mom > 0 AND flux > 0 | Full | | Weak Bull | mom > 0 OR flux > 0 | Half | | Strong Bear | mom < 0 AND flux < 0 | Full | | Weak Bear | mom < 0 OR flux < 0 | Half | | Neutral | Neither side dominates | Transparent | The display mode (Both / Bull / Bear / None) lets traders mute one half if they only trade one direction. **Confluence Buy / Sell Triangles** A separate signal layer rides outside the gauges. The detector fires only when momentum crosses its signal line WHILE in the opposite zone past the Signal Threshold AND with flux in the opposite direction (classic mean-reversion logic): - **Buy ▲** (below bear gauge at −90) — `xMomUp AND momVal < −threshold AND fluxVal < 0` - **Sell ▼** (above bull gauge at +85) — `xMomDn AND momVal > +threshold AND fluxVal > 0` Each triangle pairs with an invisible label carrying a tooltip that lists current mom, signal, flux, the active threshold, and a one-line interpretation of the trigger. The Signal Threshold (default 40) is independent of the Divergence Sensitivity setting — the two engines need different thresholds (divergence wants permissive at 25 for pivot detection, confluence wants strict at 40 for deep mean-reversion triggers). 🟦 DIVERGENCE DETECTION A cross-confirmed, dual-anchor detector that fires on signal-line crossovers (NOT on Pine pivots). Regular divergences signal exhaustion reversals, Hidden divergences signal trend continuation. **Four divergence types:** | Type | Price | Momentum | Signal | |---|---|---|---| | Regular Bull (D▲) | Lower Low | Higher Low | Potential reversal up | | Regular Bear (D▼) | Higher High | Lower High | Potential reversal down | | Hidden Bull (H▲) | Higher Low | Lower Low | Uptrend continuation | | Hidden Bear (H▼) | Lower High | Higher High | Downtrend continuation | Regular divergence uses solid lines; Hidden uses dashed lines — visually quieter to match the continuation signal's lower conviction tier. Labels (D▲ / D▼ / H▲ / H▼) each carry a tooltip-rich hover with price + momentum + meaning context. **Dual-Anchor Logic** The key engineering choice. Regular and Hidden divergences each maintain their own separate anchor pair: - **Regular anchors** — stored only at extreme-zone crosses (|mom| > Sensitivity). Catches classical exhaustion reversals at deep extremes. - **Hidden anchors** — stored at ANY signal-line cross, regardless of zone. Shallow pullbacks inside an established trend rarely push momentum past ±Sensitivity, so the Hidden detector must accept every cross to capture the classical "price HL + mom LL" / "price LH + mom HH" continuation pattern. A detected divergence consumes its anchor (resets to na) so the next setup starts fresh. **Smart Divergence Filter (AI)** Optional pre-filter that rejects low-quality divergences before they render. Three independent gates: 1. **Min Momentum Swing** — minimum |momentum| difference between the two pivot momentum values (default: 10 units). Drops noise-level differences. 2. **Min Price Swing (%)** — minimum price swing between pivots as a percentage of the recent `Momentum Length × 4` high-low range (default: 0.3%). Drops divergences where price barely moved relative to recent volatility. 3. **Require Flux Confirmation** — Flux must agree with the divergence direction at the moment of detection (Bull div needs Flux > 0, Bear div needs Flux < 0). Filters out divergences that fire counter to the broader directional bias. When the master toggle is OFF (default), all detected divergences render. When ON, only divergences that clear all three gates survive. The filter applies identically to chart rendering and alert conditions — no mismatch between visual and alert signals. 🟦 COMPOSITE TS SCORE (0–100) A weighted blend of every analytical layer into a single RSI-style 0–100 reading. 50 is neutral, > 50 leans bull, < 50 leans bear. | Component | Weight | Mapping | |---|---|---| | Momentum | 30% | mom value mapped from −100..+100 → 0..100 | | Flux | 30% | flux value mapped the same way | | Mom × Signal | 15% | 70 if mom > sig, else 30 (slope direction confirmation) | | Confluence | 25% | 90 strong-bull / 65 weak-bull / 50 neutral / 35 weak-bear / 10 strong-bear | The score is rounded to the nearest integer and labelled into five tiers in the dashboard: STRONG BULL (≥75) / BULL (≥60) / NEUTRAL (40–59) / BEAR (≥25) / STRONG BEAR (<25), each prefixed with a directional glyph (▲ ▼ ■). The tier label gives traders an executive summary at a glance — one row in the dashboard tells you what every other row collectively says. 🟦 MULTI-TIMEFRAME CONFLUENCE A separate PRO panel that runs the full Momentum + Flux + Confluence stack on four higher timeframes simultaneously via `request.security()` and surfaces the overall alignment state. All MTF calls use `lookahead = barmerge.lookahead_off` — fully repaint-safe on every closed bar. **Six Presets** Pre-tuned four-timeframe packs matched to common trader profiles: | Preset | TF 1 | TF 2 | TF 3 | TF 4 | Use case | |---|---|---|---|---|---| | Scalp | 1m | 5m | 15m | 1h | Fast scalper | | Intraday | 5m | 15m | 1h | 4h | Day trader | | Swing | 15m | 1h | 4h | 1D | Default — swing trader | | Position | 1h | 4h | 1D | 1W | Position trader | | Crypto | 5m | 15m | 1h | 4h | 24/7 markets | | Forex | 15m | 1h | 4h | 1D | Session-based markets | **Alignment Detection** Each TF returns a bias tag (▲ STRONG / ▲ WEAK / ▼ STRONG / ▼ WEAK / ◈ NEUTRAL) and a direction code (+1 / 0 / −1). The header rolls up the four codes into one of three states: - **▲▲▲▲ ALIGNED** — all four TFs bullish (highest-conviction long setup) - **▼▼▼▼ ALIGNED** — all four TFs bearish (highest-conviction short setup) - **◈ MIXED** — TFs disagree (no clean direction) **Divergence Detection** When the current chart's bias contradicts ≥ 3 of the 4 HTF biases (e.g., chart bullish but 3+ HTFs bearish), an MTF Divergence flag fires — a contrarian / counter-trend warning. Treat as a "current move may be a bull / bear trap" signal. **Panel Style** Direction is conveyed purely by the ▲ / ▼ glyphs in each row's tag — never by cell colour. Every cell uses a uniform `thBull` text colour matching the main Dashboard, so the two panels feel like one product across all twelve themes, light and dark alike. 🟦 BAR COLORING Five mutually exclusive modes apply an oscillator-driven colour to every price bar on the chart: | Mode | Behavior | |---|---| | None | Leave bars untouched (default) | | Momentum | Bull when mom > 0, bear when mom < 0 | | Flux | Bull when flux > 0, bear when flux < 0 | | Squeeze | Theme-native ramp when compressed, neutral otherwise | | Confluence | Strong / Weak / Neutral tiers via mom + flux agreement | | Slope | Bull when mom > signal, bear when mom < signal | Colours are pulled from the active theme — no per-mode color picker needed. 🟦 DASHBOARD A compact 2-column, 8-row data panel renders on the last bar when enabled. Every value derives from variables already computed upstream, so the dashboard adds zero overhead until the final bar. | Row | Left | Right | |---|---|---| | Header | Artemis Squeeze | ▲ STRONG BULL / ▲ WEAK BULL / ■ NEUTRAL / ▼ WEAK BEAR / ▼ STRONG BEAR | | TS Score | TS Score | 0–100 composite + tier label (STRONG BULL / BULL / NEUTRAL / BEAR / STRONG BEAR) | | Momentum | Momentum | Current value + trend arrow (▲ ▼ ■) | | Flux | Flux | Current value + trend arrow (▲ ▼ ■) | | Squeeze | Squeeze | TIGHT / MID / LOOSE / — | | Confluence | Confluence | STRONG BULL / WEAK BULL / NONE / WEAK BEAR / STRONG BEAR | | Div | Div | Most recent divergence within last 50 bars (▲ REG / ▼ REG / ▲ HID / ▼ HID / —) | | Slope | Slope | ▲ UP / ▼ DOWN / ■ FLAT | **Theme-Adaptive Chrome** The dashboard auto-inverts its layout based on the active theme: - **Dark themes** (Tropic, Amber, Pastel, Cyber, Helios, Electric, Candy, Bloomberg, Solar, Royal): header and footer use a faint `thBull` tint, middle rows stay solid dark, text uses full-saturation `thBull`. Border uses `thBull` at 20% transparency for strong theme presence. - **Light themes** (Midnight, Graphite): backgrounds flip to white, text stays `thBull` (which is itself dark on these themes), border uses `thBull` at 40% transparency. This guarantees text legibility against every palette without per-theme manual tuning. The MTF Confluence panel uses identical chrome rules so the two panels feel like one product. **Position & Size** Six anchor slots (Top / Middle / Bottom × Left / Right) and four text sizes (Tiny / Small / Normal / Large). The Dashboard defaults to Bottom Right and the MTF panel to Top Right — vertically opposite so the two never overlap. 🟦 COLOR THEMES Twelve cohesive palettes, each resolving to four axis colours plus a four-step squeeze ramp: | Theme | Character | Bull | Bear | |---|---|---|---| | Tropic | Cyan steel + deep orange | #00bcd4 | #ff6d00 | | Amber | Warm amber + ember red | #ff9800 | #e53935 | | Pastel | Sky blue + soft lavender | #4fc3f7 | #9575cd | | Cyber | Neon lime + hot crimson | #00e676 | #ff1744 | | Helios | Bright gold + scarlet | #ffd600 | #ef5350 | | Electric | Electric aqua + magenta | #00e5ff | #e040fb | | Candy | Neon green + hot pink | #69F0AE | #FF4081 | | Bloomberg | Terminal orange + cyan | #ff8c00 | #00b0ff | | Solar | Solarized olive + crimson | #859900 | #dc322f | | Royal | Imperial gold + deep purple | #ffd700 | #6a0dad | | Midnight | Deep navy + dark crimson | #0d47a1 | #b71c1c | | Graphite | Near-black + silver grey | #1a1a1a | #757575 | Beyond the four axis colours (bull / bear / neutral / signal), each theme also defines its own four-step squeeze ramp (tight / mid / loose / release) drawn from its own colour family — so the squeeze column and the ♦ release marker harmonise with the active theme rather than imposing a generic warning hue. Nothing below the theme resolver block references a raw hex literal, so a single dropdown selection drives every plot, fill, gauge, divergence line, dashboard cell, MTF panel and bar colour. 🟦 ALERT SYSTEM Twenty-two alert conditions, all using `alert.freq_once_per_bar_close`. Each alert is gated by its own toggle in the Alerts group — hiding a feature on the chart silences its alerts automatically. | Alert | Condition | |---|---| | Confluence Buy | Mom crossed UP through signal while below −Threshold AND Flux bearish | | Confluence Sell | Mom crossed DOWN through signal while above +Threshold AND Flux bullish | | Momentum Cross Up | Mom crossed above zero | | Momentum Cross Down | Mom crossed below zero | | Flux Cross Up | Flux crossed above zero | | Flux Cross Down | Flux crossed below zero | | Bullish Swing | Mom × signal upward cross (any zone) | | Bearish Swing | Mom × signal downward cross (any zone) | | Strong Bull Confluence | Mom AND flux both turned bullish | | Strong Bear Confluence | Mom AND flux both turned bearish | | Weak Bull Confluence | Mom OR flux turned bullish | | Weak Bear Confluence | Mom OR flux turned bearish | | Tight Squeeze | stdev < ATR × 0.5 | | Mid Squeeze | stdev < ATR × 0.75 | | Loose Squeeze | stdev < ATR × 1.0 | | Regular Divergence | D▲ or D▼ detected (respects Smart Filter) | | Hidden Divergence | H▲ or H▼ detected (respects Smart Filter) | | Squeeze Release ♦ | stdev re-expanded above ATR × 1.0 | | MTF Aligned | All four MTF timeframes agree on direction | | MTF Divergence | Current chart bias contradicts ≥ 3 of 4 HTF biases | Each alert fires through `alert()` so the message body carries live context — direction, current values, the trigger condition, and a one-line interpretation. Divergence alerts respect the Smart Filter — if the filter is ON and a divergence is rejected visually, the alert will also not fire. 🟦 SETTINGS REFERENCE **Visual** - Theme — 12 cohesive palettes. Default: Tropic **Bar Coloring** - Bar Color Mode — None / Momentum / Flux / Squeeze / Confluence / Slope. Default: None **Momentum Core** - Length — Lookback for both the Momentum engine and the Squeeze window. Range 7–50. Default: 20 - Signal Length — SMA smoothing for the signal line. Range 2–7. Default: 3 - Show Momentum — Toggle. Default: ON **Directional Flux** - Length — Lookback for the Flux engine. Range 7–50. Default: 30 - Use Heiken Ashi Bias — Toggle. Default: OFF - Show Flux — Toggle. Default: ON **Squeeze Engine** - Show Squeeze — Toggle. Default: ON - Show Squeeze Release — Toggle for the ♦ marker. Default: ON **Confluence Gauges** - Display Mode — Both / Bull / Bear / None. Default: Both - Signal Threshold — |momentum| floor for Buy ▲ / Sell ▼ arrows. Range 10–80. Default: 40 **Divergence** - Sensitivity — |momentum| floor for Regular div detection. Range 10–50. Default: 25 - Regular Divergence — Toggle. Default: ON - Hidden Divergence — Toggle. Default: ON - Show Divergence Lines — Toggle. Default: ON - Show Divergence Labels — Toggle. Default: ON - Label Size — Tiny / Small / Normal / Large. Default: Tiny - Smart Divergence Filter (AI) — Master toggle. Default: OFF - Min Momentum Swing — Default: 10.0 - Min Price Swing (%) — Default: 0.3% - Require Flux Confirmation — Default: ON **Multi-Timeframe** - Show MTF Panel — Toggle. Default: ON - Timeframe Preset — Scalp / Intraday / Swing / Position / Crypto / Forex. Default: Swing - Panel Position — 6 anchor slots. Default: Top Right - Panel Text Size — Tiny / Small / Normal / Large. Default: Small **Dashboard** - Show Dashboard — Toggle. Default: ON - Panel Position — 6 anchor slots. Default: Bottom Right - Panel Text Size — Tiny / Small / Normal / Large. Default: Small **Alerts** - 20 toggles covering all 22 alert conditions (Regular and Hidden divergence each drive two alerts — bull + bear — from one toggle). - Defaults ON: Confluence Buy/Sell, Mom Cross Up/Dn, Flux Cross Up/Dn, Strong Bull/Bear Confluence, Tight Squeeze, Regular Divergence, Squeeze Release, MTF Aligned. - Defaults OFF: Swings, Weak Confluences, Mid/Loose Squeeze, Hidden Divergence, MTF Divergence. 🟦 COMPATIBILITY Works on all asset classes and all timeframes in TradingView Pine Script v6. - Crypto: Spot, futures, perpetual contracts - Forex: All pairs - Equities: Stocks, ETFs, indices - Commodities: Metals, energy, agriculture - Timeframes: 1m through Monthly The channel-aware ATR normalization in the Momentum engine, the ATR-normalized Flux ratio, and the stdev / ATR squeeze tests make every layer volatility-agnostic. The same default settings work on a 1m BTC chart and a weekly index chart without retuning. The MTF presets cover the common scalp / intraday / swing / position profiles plus dedicated Crypto and Forex packs. 🟦 DISCLAIMER This indicator is provided for educational and informational purposes only. It does not constitute financial advice. Past performance does not guarantee future results. Always conduct your own analysis and apply proper risk management.
Pine Script® indicator
by a_jabbaroff
18
TMO Trade Trigger System v1.2TMO Trade Trigger System Originally designed for the 1W timeframe on the IREN chart using the -55/+55 thresholds. Apply to other charts and timeframes WITH CAUTION. Momentum zone thresholds should almost certainly be adjusted manually for different timeframes (i.e., for 4H chart, I might try -73/+73). TMO Trade Trigger System is a momentum-based trading indicator built around the True Momentum Oscillator and TTM Squeeze framework. The indicator is designed to separate trade logic into two stages: 1. Momentum exhaustion arms the setup. 2. TMO ribbon reversal confirms the trade. The core idea is simple: When the TMO signal line crosses down through a user-defined oversold level, the long setup becomes ARMED. The trade does not trigger immediately. Instead, the indicator waits for the TMO ribbon to close green, signaling a momentum reversal. Once confirmed, the script displays a BUY NEXT OPEN signal. For exits, when the TMO signal line crosses up through a user-defined overbought level, the exit setup becomes ARMED. The trade remains open until the ribbon closes red, at which point the script displays a SELL NEXT OPEN signal. The indicator also includes add-on logic. If a trade is already open and the TMO signal line crosses back down through the entry arming level before the final exit condition is met, the system can arm a new add-on entry. Once the ribbon turns green again, it displays ADD NEXT OPEN. This allows traders to visualize potential dip-buying opportunities within an existing long trade. Features: * Separate oscillator pane showing the TMO Main Line, Signal Line, and ribbon * Adjustable entry and exit arming levels * Default weekly-style levels: -55 entry arming and +55 exit arming * Adaptable to lower timeframes, such as 4H, by adjusting the thresholds * On-chart markers for ARMED, BUY NEXT OPEN, ADD NEXT OPEN, and SELL NEXT OPEN * Optional TTM Squeeze dots * Customizable line, ribbon, zone, and marker colors * Alert conditions for entry armed, buy trigger, add trigger, exit armed, sell trigger, and any trade event * Designed for bar-close confirmation and next-open execution planning Suggested use: Use on the 1W chart timeframe with the following settings: Entry arming level: -55 Exit arming level: +55 Alerts should generally be set to Once Per Bar Close so that signals are confirmed only after the candle closes. Logic summary: Entry Armed: TMO signal line crosses down through the entry arming level. Buy Triggered: Entry is armed and the TMO ribbon turns green. Add Armed: A trade is already open and the signal line crosses down through the entry arming level again. Add Triggered: Add is armed and the ribbon turns green again. Exit Armed: TMO signal line crosses up through the exit arming level. Sell Triggered: Exit is armed and the TMO ribbon turns red. Notes: This indicator is intended as a visual and alerting tool, not an automated trading system. It does not account for option pricing, implied volatility, liquidity, bid/ask spreads, earnings risk, position sizing, or broader market conditions. Use it as part of a complete trading process. Credit: This tool builds on the True Momentum Oscillator and TTM Squeeze concept, including logic adapted from the public “TMO with TTM Squeeze” indicator by ssksubam. Not financial advice.
Pine Script® indicator
by KristophJeffers
Ichimoku Trend Oscillator [Gabremoku]Ichimoku Trend Oscillator is a custom trend-following oscillator that transforms core Ichimoku components into a normalized trend force model, designed to make bullish and bearish pressure easier to read in a single lower-panel view. Instead of plotting the full traditional Ichimoku Cloud on price, this script converts the relationship between Tenkan, Kijun, Kumo structure, and price location vs cloud into a smoothed oscillator with: a central zero line trend force scoring histogram confirmation momentum shift detection optional Tenkan force overlay on the main chart The Ichimoku framework is commonly used to evaluate trend, momentum, and support/resistance at a glance, especially through the relationship between price and cloud position, plus the Tenkan/Kijun structure. What it shows 📉 Trend Force Line — the main oscillator line represents a normalized force score derived from: Tenkan vs Kijun spread price location relative to the cloud bullish or bearish cloud structure 📊 Histogram — visualizes the difference between the force line and its signal line, helping show momentum acceleration or deceleration. 🌈 Soft Gradient Fill — the oscillator fill changes intensity depending on how far trend force is from zero. 📍 Tenkan Force Overlay — optionally plots the Tenkan line on the main chart with dynamic color logic tied to trend condition. 🚦 Signals — the script can display: LONG on bullish zero-line cross SHORT on bearish zero-line cross SHIFT markers when momentum changes sharply without a fresh zero cross 🪧 Dashboard — displays state, force value, trend bias, Tenkan/Kijun relation, price vs Kumo position, and momentum-shift status. Core logic The script compresses several Ichimoku readings into one oscillator. It combines: Tenkan/Kijun directional spread price above / inside / below cloud cloud directional structure ATR-based normalization and smoothing for cleaner force transitions This matters because in standard Ichimoku interpretation: price above the cloud is usually read as bullish context price below the cloud is usually read as bearish context Tenkan above Kijun supports bullish alignment, while the opposite supports bearish alignment By translating those conditions into a normalized oscillator, the script gives traders a faster way to read trend quality and directional pressure without plotting the full classic system every time. State model The oscillator classifies the market into states such as: Bullish Expansion Bullish Pressure Bearish Expansion Bearish Pressure Neutral This is useful because it separates simple directional bias from stronger “expansion” conditions where multiple Ichimoku elements are aligned. For example: force above zero suggests bullish pressure force below zero suggests bearish pressure stronger positive or negative readings reflect stronger directional alignment SHIFT signals are used to highlight sudden changes in momentum before a full regime flip How to use A practical workflow is: Use the zero line as the primary directional divider. Use the force line to judge strength. Use the histogram to evaluate acceleration or fading momentum. Watch for SHIFT markers when force changes quickly. Use the Tenkan overlay on the main chart as an additional structure guide. In general: cross above zero = bullish transition cross below zero = bearish transition force staying far from zero = stronger trend persistence shift signals = possible early momentum change without full bias reversal yet Features ✅ Ichimoku-based lower-panel oscillator ✅ Trend force model built from Tenkan, Kijun, Kumo, and price/cloud relationship ✅ ATR-normalized force engine ✅ Smoothed force line ✅ Signal line and histogram ✅ Soft gradient fill around zero ✅ LONG / SHORT zero-cross signals ✅ Bullish / bearish momentum shift markers ✅ Optional Tenkan force overlay on the main chart ✅ Live dashboard with state and bias information Notes This indicator is designed to turn Ichimoku structure into a more compact trend momentum oscillator, not to replace full discretionary Ichimoku analysis. It works best as a directional filter or timing aid when combined with price structure, support/resistance, or a broader trend framework. Author: Gabremoku Pine Script v6
Pine Script® indicator
by Gabremoku
6
Markowitz Frontier Compass [JOAT]Markowitz Frontier Compass Introduction Markowitz Frontier Compass compares the chart symbol against a peer basket using inverse-volatility weights, correlation drag, diversification benefit, factor scores, and active risk budget. This open-source indicator is designed as a context tool, not a standalone trading system. It focuses on explaining the current market state with restrained visuals and confirmed-bar logic where signals are used. Core Concepts 1. Inverse-Volatility Basket Each peer receives an inverse-volatility weight to form a portfolio-context benchmark. 2. Correlation Drag Average pairwise correlation reduces diversification value when assets move together. 3. Factor Composite Quality, momentum, low-volatility, and carry-style behavior are combined. 4. Risk Budget Institutional grade, entropy, concentration, and factor state become active or defensive budget context. frontierScore = efficiency + diversification - correlationDrag - concentration Features Peer basket context Inverse-volatility weighting Correlation drag and diversification benefit Factor composite and allocation entropy Risk-on, defense, and factor-prime states Input Parameters Peer symbols Return window and smoothing Risk-free annual percent Correlation stress and concentration gates Display toggles and HUD position How to Use This Script Use MFC as cross-asset context. Risk-on or factor-prime states suggest constructive basket behavior; defense states warn of stress. Limitations The script uses historical OHLCV data and cannot know future prices. Signals and states can be late during fast reversals because confirmed-bar logic is used to reduce repainting. Model outputs should be interpreted with market context, risk controls, and independent analysis. No visual state should be treated as a certain trade outcome. Originality Statement MFC is original in combining portfolio theory, factor scoring, entropy, and risk-budget logic in one open-source study. Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice, investment advice, or a recommendation to buy or sell any financial instrument. All calculations are derived from historical market data and may produce inaccurate readings in some market conditions. No indicator can predict future market behavior. Use proper risk management and independent judgment. -Made with passion by jackofalltrades
Pine Script® indicator
by officialjackofalltrades
Dynamic Range RSI [DefinedEdge]🔍 OVERVIEW Really excited to release this one. I've been working on this for a while and it solves something that always bugged me about RSI: the fixed lookback period. Markets don't move at one speed, so why should your oscillator? Dynamic Range RSI rethinks the standard RSI by replacing the fixed lookback with a volatility-adaptive engine. The indicator reads the current ATR regime and automatically adjusts its period. Shorter when markets are volatile, longer when they're quiet. No manual switching, no lag when it matters. It also layers in divergence detection and a higher-timeframe confluence ribbon so you're not trading the oscillator in isolation. ⚙️ HOW IT WORKS The core calculation uses a range-normalized momentum formula instead of standard RSI math. Price changes are weighted by the current high-low range, which makes the output cleaner during trending moves and less prone to false signals during chop. The adaptive length is driven by an ATR ratio (fast ATR vs slow ATR). When volatility spikes, the RSI period compresses toward the minimum. When volatility drops, it stretches toward the maximum. Responsive during breakouts, smooth during consolidation. 🎯 FEATURES → ATR-adaptive RSI length (user-defined min/max range) → Range-normalized momentum calculation → 4 smoothing methods: EMA, SMA, RMA, TMA → Automatic divergence detection (pivot-based, configurable lookback) → Higher-timeframe confluence ribbon (auto or manual HTF selection) → Signal line crossover dots filtered to OB/OS zones only → 6 built-in alert conditions → Dynamic length visible in status line 📊 SIGNALS • Green circles: signal line cross up inside oversold zone • Red circles: signal line cross down inside overbought zone • "Bull" labels: bullish divergence (price lower low, RSI higher low) • "Bear" labels: bearish divergence (price higher high, RSI lower high) • Background shading: HTF ribbon turns green/red when the higher timeframe agrees on OB/OS 💡 USAGE TIPS Works on any market, any timeframe. For crypto I like the 4H. The adaptive length flexes between roughly 1 to 5 days of lookback which catches momentum shifts well. For scalping, 15min with HTF pulling from 4H gives solid confluence. If the dynamic length stays pinned at minimum too often, bump the Min Length up to 8-10 to smooth it out.
Pine Script® indicator
by DefinedEdge
Concordance Allocation Strategy [JOAT]Concordance Allocation Strategy Introduction Concordance Allocation Strategy is an open-source TradingView strategy that integrates regime detection, directional bias, momentum alignment, value-location filtering, and ATR-based risk management into one non-repainting framework. It is designed to trade only when multiple independent layers agree on bar close. The problem this strategy solves is isolated signal bias. A single good-looking signal can fail quickly if it appears in the wrong market regime, against the wrong directional structure, or in the wrong part of value. Concordance requires those layers to align before it enters a trade, then manages risk with fixed ATR targets and adaptive exits. Core Concepts 1. Regime filter The strategy uses a probability-based trend-versus-range classifier. Trades are only considered when the directional regime is confirmed on a closed bar. 2. Directional bias engine An ATR-based bias band adapts to noisy conditions and recovery stress so long and short bias are not driven by a simple moving average cross. 3. Momentum confirmation A centered adaptive stochastic spread must align with the directional side. This prevents entries based on trend context alone. 4. Value-location filter The strategy requires price to be properly aligned with percentile-derived value rails before entries are allowed. This helps avoid chasing direction in poor location. 5. Structured risk management Every position uses: ATR stop loss ATR take profit Adaptive trailing behavior once price extends far enough Context exits when regime or momentum deteriorates Features Multi-layer entry filter: Regime, bias, momentum, and value must agree Bar-close confirmation: Entries are evaluated using confirmed-bar logic ATR stop loss and take profit: Risk is defined from volatility, not fixed ticks Adaptive exit behavior: Bias band can tighten once the move extends No higher-timeframe dependency: Uses current-timeframe calculations only Institutional dashboard: Shows exposure state, regime, momentum, bias band, and value rails Non-repainting framework: No future references and no lookahead logic Input Parameters Regime Layer: Return Lookback Volatility Lookback Efficiency Length Regime Learning Trend Gate Directional Bias: ATR Length ATR Base Multiplier Avoidance Expansion Recovery Pull Noise Threshold ATR Momentum Layer: Stochastic Length Stochastic Smoothing Price Presmoothing Adaptive Attenuation Momentum Spread Gate Value Layer: Value Lookback Lower Rail Percentile Upper Rail Percentile Rail Smoothing Risk Layer: Stop ATR Take Profit ATR Trail Activation ATR Trail Buffer ATR How to Use This Strategy Step 1: Read the regime The strategy only acts when the directional regime is confirmed. If the regime is rotational, it stands down. Step 2: Confirm directional bias The ATR bias band must agree with the side of the trade. This avoids taking long momentum setups under bearish structure or the reverse. Step 3: Check momentum and value together Momentum must align with the side and price must be operating in the correct value location. Both filters are required. Step 4: Review risk settings before use Stop and target multiples should be adjusted to the market and timeframe being tested. The defaults are intended to be realistic rather than aggressively optimized. Strategy Limitations No strategy can eliminate false regime transitions or rapid reversals Percentile value rails adapt to the sample window and may lag sudden structural changes The strategy is designed for realism and context alignment, not maximum trade frequency Originality Statement Concordance Allocation Strategy is original in how it requires regime confirmation, directional bias, momentum agreement, and value-location agreement before allowing entries. It is published because: The strategy avoids isolated indicator triggers and instead uses a layered confirmation model Its risk logic combines fixed ATR objectives with adaptive context exits The design is intentionally current-timeframe, bar-close confirmed, and non-repainting Disclaimer This strategy is provided for educational and informational purposes only. It is not financial advice, and backtest results do not guarantee future performance. Trading involves risk of loss, and any strategy can underperform or fail in changing market conditions. Always evaluate settings carefully and use proper risk management.
Pine Script® strategy
by officialjackofalltrades
Cartograph Bands [JOAT]Cartograph Bands Introduction Cartograph Bands is an open-source price-space mapping overlay that translates internal momentum and regime pressure into adaptive bands around price. Instead of displaying momentum in a separate pane and forcing the user to mentally translate it back into price context, the script projects a composite regime score directly into layered price envelopes. The problem Cartograph Bands solves is disconnected interpretation. Oscillators can show strength or weakness, but they often fail to communicate where that state matters on the chart. Cartograph Bands closes that gap by converting internal regime intensity into inner, outer, and far price-space bands, then combining that with multi-timeframe confirmation and volatility-state transitions. Core Concepts 1. Composite Momentum Engine The script blends several internal measurements including RSI, CMO, ROC normalization, and slope behavior to create a bounded momentum/regime score. This reduces reliance on any single oscillator. 2. Price-Space Mapping That composite score is mapped into adaptive offsets around price using ATR and standard deviation inputs. The result is a set of bands that express regime intensity as chart structure rather than as a separate panel line. 3. Layered Band Geometry Three band families are used: Inner bands for local equilibrium Outer bands for state extension Far bands for exceptional displacement 4. Non-Repainting Higher Timeframe Confirmation Confirmed higher-timeframe values are requested using offset expressions and lookahead handling intended to avoid future leakage on historical bars. 5. Compression and Expansion State Tracking Cartograph Bands also classifies whether the current market state is compressing or expanding, which gives context to outer-band tests and re-entry events. Features Composite momentum model: Multiple internal regime factors instead of one oscillator Mapped price-space bands: Regime intensity projected directly onto chart structure Inner, outer, and far layers: Different depths of price displacement MTF confirmation dashboard: Top-right summary with higher-timeframe agreement context Compression and expansion tracking: Identifies volatility-state transitions Outer-band re-entry events: Useful for exhaustion or reacquisition studies State candle tinting: Visual context without heavy marker clutter Gradient cloud system: Layered institutional-style fills Confirmed-signal mode: Optional bar-close confirmation behavior Alertconditions: Regime flips, re-entry, expansion, compression, and MTF conflict How to Use This Indicator Step 1: Read the Band State Price inside the inner structure implies local balance. Sustained travel into outer and far layers implies stronger directional pressure. Step 2: Check the Dashboard Use the dashboard to confirm whether the chart-timeframe state aligns with higher-timeframe conditions. Step 3: Watch Re-entry Behavior Re-entry from outside the outer band can highlight exhaustion or failed extension, especially when expansion begins to fade. Step 4: Use Compression and Expansion as Context A compression state reduces the importance of directional interpretation. Expansion after compression matters more than random outer-band wandering. Indicator Limitations The mapping is adaptive, so band distance changes with symbol volatility Higher-timeframe context is intentionally confirmed and may feel slower than live-developing HTF tools Band interaction alone should not be treated as a complete trade system The script maps internal regime state into price context, but it does not forecast exact reversal points Originality Statement Cartograph Bands is original in the way it blends multiple internal regime measurements and projects them into layered price-space geometry. Its value is not just an oscillator or just bands, but the interaction between regime scoring, mapped offsets, MTF confirmation, and state transitions. Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice. All mapped bands are analytical references derived from historical price behavior and should be used with sound judgment and risk management. - Made with passion by jackofalltrades
Pine Script® indicator
by officialjackofalltrades
Moving Average GradientThe 'Moving Average Gradient' (MAG) is basically a measure of the gradient of a moving average. Firstly a moving average (SMA or EMA) is overlayed onto the chart. Then the gradient of this moving average is calculated and plotted below. An optional smoothing average is also applied to the gradient. This MAG is my own invention and is entirely new, as far as I know. I've found it to be useful for divergences. It can also be quite similar to the Stochastic, and works well taking a BUY signal when the gradient crosses over its moving average, and SELL when it crosses under. In fact I backtested both this MAG, and the Stochastic as a comparison, within a strategy using the above signals, and the MAG delivered better results. The strategy on BTCUSD 15 minute also included: * 4hr MACD Signal change > 0.0034 % * 4hr MACD Signal value < 0.5 % ...for BUY, with the opposite for SELL. And if you think that strategy involved writing Pine Script code, then you're probably not familiar with my suite of strategy tools published on here. I was able to very quickly and easily create and backtest that strategy without writing any code at all, using just: * MAG or Stochastic * MACD * Simple BUY/SELL Indicator - to create the strategy rules using the above indicators (or I could've used my Custom BUY/SELL Indicator) * Simple Pyramid Strategy - to run the backtesting strategy (or I could've used my Complex Single Trade Strategy)
Pine Script® indicator
by JustinTimeTunes
Volume Weighted RSI PRO | AnonycryptousVolume Weighted RSI Pro | Anonycryptous Description & user manual Why this indicator is different Standard RSI treats every bar equally. A bar where 100 lots traded and a bar where 100,000 lots traded produce the same RSI value if the price change was the same. That is a fundamental problem. Price moves on low volume are noise. Price moves on high volume are institutional participation. RSI cannot tell the difference. Volume Weighted RSI Pro fixes this at the calculation level. Instead of averaging raw price changes, every gain and loss is multiplied by its relative volume before entering the RSI calculation. A strong move on elevated volume pushes the oscillator harder than the same move on thin participation. A drift in price on below-average volume barely registers. The result is an RSI that reflects who was actually behind the move — not just that a move happened. But volume-weighted RSI alone is one perspective. The indicator adds a second independent layer through the Money Flow Index — a separate oscillator that weights typical price by volume rather than price change. When both VW RSI and MFI agree on an extreme reading, the confluence is structurally different from either line alone. One can be driven by a single large candle. Two separate calculation methods arriving at the same conclusion is harder to dismiss. And then there are the liquidity levels. Most RSI-based indicators live in isolation from price structure. They show you when the oscillator is extended, but not where on the price chart that extension corresponds to meaningful levels. Volume Weighted RSI Pro draws the nearest swing highs and lows directly on the price chart — the levels where stops cluster, where institutions defend positions, and where reversals tend to form. Each level shows the volume ratio at the moment it was created. Each level disappears automatically when price closes through it, and the indicator immediately identifies the next relevant level below or above. The divergence engine connects oscillator behavior with price structure by drawing lines, endpoint markers, and a highlighted box on the price chart that spans the exact bars involved. Not just a signal — a spatial map of what happened and where. This is an RSI indicator that knows where it is on the chart. Important notice Volume Weighted RSI Pro generates signals based on oscillator behavior, volume analysis, and price structure detection. These signals are not financial advice. They do not predict future price movement. They do not guarantee profitability. All trading decisions are made entirely by the user. Always manage your own risk. Always apply your own judgment. 1. Overview Volume Weighted RSI Pro is a multi-layer oscillator built around a volume-weighted RSI calculation. It combines momentum analysis, divergence detection, volume flow confirmation, and liquidity level mapping in a single indicator across both the oscillator pane and the price chart. What it includes: - Volume weighted RSI using relative volume to scale price change contributions - Money Flow Index as a second independent momentum layer - EMA signal line with configurable length and crossover markers - Divergence detection with RSI pane lines and mainchart box visualization - Liquidity level lines on the price chart from confirmed swing highs and lows - Volume ratio label per liquidity level showing institutional activity at formation - Automatic level mitigation: levels disappear when price closes through them - OB/OS zone boxes with per-zone volume intensity tracking - Gradient glow fill between the RSI line and midline - OB/OS exit signals and signal line crossover markers - Bar coloring and mainchart background based on RSI position - Live dashboard with RSI value, volume ratio, zone, divergence, signal, and liquidity levels - Seven alerts covering divergence, exits, and signal line crossovers 2. Core calculation 2.1 Volume weighted RSI Standard RSI sums gains and losses over a lookback period using Wilder's smoothing (RMA). Volume Weighted RSI Pro applies the same structure but multiplies each bar's price change by its relative volume — the ratio of bar volume to the smoothed volume average — before the RMA smoothing step. A bar with twice the average volume contributes twice as much to the gain or loss accumulation. A bar with half the average volume contributes half as much. This means the oscillator level reflects participation quality, not just price displacement. In practical terms: trending moves on rising volume push the oscillator to extremes faster. Pullbacks on thin volume barely move it. This creates a cleaner, more institutionally-aware reading than standard RSI. The volume weighted mode can be toggled off to revert to standard RSI behavior for direct comparison. 2.2 Standard RSI reference line A standard RSI line is plotted as a secondary reference in the same pane. Its color and width are configurable. Divergence between the volume weighted and standard lines reveals moments where volume is distorting the picture — a large move on thin participation that standard RSI registers but the VW version largely ignores, or vice versa. 2.3 Signal line An EMA of the volume weighted RSI value acts as a signal line, similar in concept to the signal line in a MACD. The default length is 9. When the VW RSI crosses above the signal line, momentum is accelerating to the upside. When it crosses below, momentum is decelerating. Crossover markers appear at the exact cross point and can be toggled on or off. The signal line is most useful as a filter — only take a setup if the RSI and signal line agree on direction. 2.4 Money Flow Index The MFI is calculated using typical price ((high + low + close) / 3) multiplied by volume, producing separate positive and negative money flow sums that are then converted to an index between 0 and 100. It shares the same scale as the VW RSI, making direct visual comparison possible. The MFI responds differently from VW RSI because it weights price level rather than price change. Elevated MFI without elevated VW RSI suggests buying pressure at current levels without strong directional momentum. Both indicators in overbought territory simultaneously is a stronger condition than either alone. 3. Divergence detection Divergence is detected by comparing pivots in the volume weighted RSI against pivots in price over a configurable lookback window Bearish divergence: price makes a higher high while VW RSI makes a lower high. Momentum is weakening as price extends — a structural warning. Bullish divergence: price makes a lower low while VW RSI makes a higher low. Selling pressure is exhausting even as price continues lower — a structural opportunity. Sensitivity controls the pivot lookback window: - High: 3-bar pivots. More signals, more false positives. - Medium: 5-bar pivots. Balanced default. - Low: 10-bar pivots. Fewer signals, higher quality. When a divergence confirms, two things are drawn simultaneously. In the RSI pane: a solid line connecting the two pivot RSI values. On the price chart: a box spanning the full price range of the bars involved in the divergence. This makes the spatial relationship between the oscillator event and the price structure immediately visible. The divergence box does not confirm a trade. It confirms that a structural disagreement between price and momentum occurred, and where on the chart it happened. 4. Liquidity levels Liquidity levels are drawn on the price chart at confirmed swing highs and lows using a pivot detection engine. They represent the price levels where stop orders are likely to cluster — below swing lows for buy stops and above swing highs for sell stops. These are the levels that institutional participants use as targets when running liquidity. Each level is a horizontal line that starts at the pivot bar and extends to the right in real time. The nearest level is fully opaque. Additional levels fade with distance from current price. Each level displays a volume ratio label at its origin — the bar's volume at the time of pivot formation relative to the recent average. A level formed on 2.1x average volume is more institutionally significant than one formed on 0.7x volume. This context is part of reading the level. When price closes through a level, it is removed immediately. The indicator repopulates from the remaining valid pivots. There is no manual cleanup and no visual clutter from levels that have already been swept. The detail level setting controls how aggressively levels are detected: - Minimal: wide pivot lookback, only the most significant structural highs and lows qualify. - Standard: balanced detection, practical default across most timeframes. - Full: tighter pivot lookback, more levels are identified. The dashboard shows the nearest bull side level (BSL) and bear side level (SSL) by price, updated in real time. 5. OB/OS zone tracking When the VW RSI enters overbought or oversold territory, the indicator begins accumulating the total volume transacted during that period. When price exits the zone, a filled box is drawn over the duration of the zone on the RSI pane. The box includes a volume intensity label showing how the average volume inside the zone compared to the baseline average. A zone with 1.8x average volume indicates elevated institutional activity during the extreme reading — the extension was not just price drift but active participation. A zone below 1.0x is thin and less meaningful. OB/OS zones are off by default. 6. Visual guide RSI pane elements: - Bright green/red RSI line — volume weighted RSI, color intensity increases toward OB/OS extremes - Grey reference line — standard RSI, configurable color and width - Gold line — signal line (EMA of VW RSI) - Purple line — MFI - Gradient glow fill — color intensity increases from midline toward the RSI line, creating a visual depth effect that reflects how extended the oscillator is - OB/OS background — deepens in red or green when RSI is in extreme territory - ▲ marker — RSI exiting oversold territory - ▼ marker — RSI exiting overbought territory - ✕ marker — RSI/signal line crossover (when enabled) - Divergence line — solid colored line between the two pivot RSI values Mainchart elements: - Horizontal lines — liquidity levels, color and opacity by distance from current price - Volume label at origin — volume ratio at pivot formation bar - Divergence box — spans the full price range of the divergence bars - Background color — subtle green above RSI 50, subtle red below - Bar coloring — gradient intensity based on RSI position 7. Dashboard reference The dashboard is positioned bottom right by default and updates on every bar close. VW RSI — current VW RSI value, colored by position. Vol ratio — current bar volume relative to the smoothed average. Values above 1.5x are highlighted in gold. Zone — current RSI zone: overbought, oversold, or neutral. Divergence — active divergence state if detected on the most recent pivot. Signal — most recent signal condition. — Liquidity — Near BSL — nearest bull side liquidity level below current price. Near SSL — nearest sell side liquidity level above current price. Liq levels — count of active levels on each side. Mode — VW (volume weighted) or STD (standard RSI mode). Anonycryptous — indicator brand and version. 8. Alerts Seven alert conditions are available: - Bullish divergence: price lower low with VW RSI higher low confirmed. - Bearish divergence: price higher high with VW RSI lower high confirmed. - OS exit signal: RSI crosses back above the oversold level. - OB exit signal: RSI crosses back below the overbought level. - Any divergence: fires on either divergence type. - Signal cross up: VW RSI crosses above the signal line. - Signal cross down: VW RSI crosses below the signal line. 9. Settings reference 9.1 RSI settings - RSI length: lookback period for the VW RSI calculation. Default 14. - Volume smoothing: lookback for the volume moving average. Default 14. - Volume weighted mode: toggle between volume weighted and standard RSI. - Show signal line: toggle the EMA signal line. - Signal line length: EMA period for the signal line. Default 9. - Show signal crossovers: toggle ✕ markers at signal line crossovers. Default off. - Show MFI line: toggle the Money Flow Index line. - MFI length: lookback for MFI calculation. Default 14. - MFI color: default brand purple. - MFI line width: 1 to 4. Default 2. - Overbought level: threshold for OB signals and zone tracking. Default 70. - Oversold level: threshold for OS signals and zone tracking. Default 30. 9.2 Divergence - Sensitivity: pivot lookback window — high (3), medium (5), low (10). - Show bullish divergence. - Show bearish divergence. - Divergence box on mainchart: draws the price range box on the price chart. - Div line width: stroke weight of divergence lines. 1 to 4. Default 2. 9.3 Liquidity levels - Show liquidity levels: toggle all liquidity lines on the price chart. - Detail level: minimal, standard, or full pivot sensitivity. - Pivot lookback: swing detection window. Default 10. - Max levels each side: maximum lines shown above and below current price. Default 2. 9.4 OB/OS zones - Show OB/OS zones: toggle zone boxes in the RSI pane. Default off. - Volume intensity label: show per-zone volume ratio label. - Zone transparency: fill opacity for OB/OS zone boxes. 9.5 Visuals - Bull color: primary bull color across all elements. - Bear color: primary bear color across all elements. - Bull div color: color for bullish divergence lines and box. - Bear div color: color for bearish divergence lines and box. - Std RSI color: color of the standard RSI reference line. - Std RSI width: stroke weight of the reference line. - Bar coloring: gradient bar color based on RSI position. - Signal size: size of OB/OS exit markers — tiny, small, or normal. - Show background color: subtle mainchart background based on RSI direction. - Background transparency: opacity of the mainchart background. 9.6 Dashboard - Show dashboard. - Position: top left, top right, bottom left, or bottom right. - Size: tiny, small, or normal. 10. How to use 10.1 Reading divergence Divergence is not a signal to enter immediately. It is a warning that the relationship between momentum and price is breaking down. The most effective approach is to wait for the divergence box to appear on the price chart and then look for a second confirmation — a signal line crossover, an OB/OS exit marker, or a price reaction at a nearby liquidity level — before treating the setup as actionable. Divergence on its own can persist for many bars before price reacts. Use it as directional context, not as a trigger. 10.2 Using liquidity levels The liquidity lines show where the market has unfinished business — swing levels that formed on meaningful volume and have not yet been revisited. When the VW RSI is approaching overbought or showing bearish divergence and price is simultaneously approaching a sell-side liquidity level above, those two conditions are pointing at the same structural event from different angles. The volume ratio label at each level is particularly useful. A level formed on 0.6x average volume is a weak level that may not generate a meaningful reaction. A level formed on 2.5x average volume suggests a move was initiated or defended with institutional size. Treat these differently. 10.3 Using VW RSI and MFI together When both lines are in overbought territory simultaneously, the condition is stronger than either alone. VW RSI is extended on momentum. MFI confirms that money flow at current price levels is also elevated. The two calculations are independent — their agreement is not trivial. When they diverge — VW RSI overbought while MFI is not — one of the components is not confirming the other. This does not mean the move is wrong, but the confluence is weaker. 10.4 OB/OS zone volume When the zone volume label shows above 1.5x, the extreme RSI reading occurred during elevated participation. That tells you the extension was not just mechanical drift — there was active buying or selling pressure behind it. An exit from that zone after a high-volume OB/OS period carries more weight than an exit from a thin zone. 10.5 Illustrative bull scenario Educational example only. Not a trading recommendation. VW RSI drops into oversold on above-average volume. A bull-side liquidity level sits 0.8% below current price, formed three sessions ago on 2.1x volume. VW RSI begins making a higher low while price makes a lower low — bullish divergence is confirmed. A divergence box appears on the price chart. The RSI crosses back above the oversold level, firing a ▲ marker. The signal line crossover fires shortly after. Three separate conditions align: oversold exit, bullish divergence, and signal line confirmation. 10.6 Illustrative bear scenario Educational example only. Not a trading recommendation. Price rallies into a sell-side liquidity level visible on the chart at 2.2x formation volume. VW RSI is in overbought territory while MFI is also elevated. Price makes a higher high but VW RSI makes a lower high — bearish divergence is drawn on the RSI pane and a box appears on the price chart covering the divergence range. RSI crosses back below overbought. A ▼ marker fires. The setup has divergence, OB exit, and a liquidity level all at the same location. 11. Tips The volume ratio in the dashboard is one of the most underused readings. A vol ratio below 0.7 means current price action is thin — institutions are not participating. Signals that fire on low volume ratio are less reliable than those that fire on 1.5x or above. Signal line crossovers are most useful as filters. Toggle them on during active sessions to see where momentum flips are occurring relative to the rest of the setup. Too many crossovers on a given session usually means the market is ranging — reduce position size or wait for the RSI to expand toward an extreme before taking the cross seriously. The standard RSI reference line reveals when volume weighting is changing the picture. If the VW RSI is significantly above the standard line, it means recent price movement was driven by above-average volume. If the VW RSI is below the standard line, price moved on thin participation — the market did not commit to the direction. Liquidity level count in the dashboard tells you how many valid structural references remain. When the count drops — because levels are being swept — it means the market is clearing stops. That is meaningful context for the direction of the current move. 12. Disclaimer This indicator is provided for educational and informational purposes only. Nothing in this document or in the indicator output constitutes financial advice or any form of recommendation. Trading financial instruments involves substantial risk of loss. Past performance is not indicative of future results. You may lose all of your invested capital. Anonycryptous accepts no responsibility or liability for any losses incurred as a result of using this indicator.
Pine Script® indicator
by Anonycryptous
11
Aura RSP Matrix [Pineify] Pineify - Aura RSP Matrix - Relative Strength Phase Momentum Aura RSP Matrix compares the chart symbol with a benchmark and classifies it into four relative-strength phases: Leading, Weakening, Lagging, and Improving. It shows whether relative performance is gaining or fading. Key Features Benchmark-relative RS Ratio and RS Momentum centered around 100. Phase coloring for the oscillator, bars, markers, and dashboard. Leading and Lagging labels fire only on the first bar of a new phase. How It Works The script requests the benchmark close on the timeframe, divides chart close by benchmark close, then normalizes the result with a WMA . This creates RS Ratio, where values above 100 show relative strength above its recent baseline. RS Momentum compares RS Ratio with its own WMA baseline. Both series are smoothed with an EMA before phase detection. Smoothing reduces one-bar noise but adds lag. How the Components Work Together RS Ratio shows whether the symbol is strong or weak versus the benchmark. RS Momentum shows whether that position is improving or fading. Leading means both are above 100; Weakening means strength remains above 100 while momentum slips; Lagging means both are below 100; Improving means momentum turns up before RS Ratio confirms. Trading Ideas and Insights Use Leading as confluence for bullish setups, not as an automatic entry. Watch Weakening after strong runs; it may show fading follow-through. Use Improving to find names recovering against a benchmark. Treat Lagging as a caution filter when stronger alternatives exist. Signals are phase-change markers, not performance guarantees. In choppy markets the matrix can rotate around 100, and live bars may change until close. Unique Aspects Two-stage WMA normalization separates relative strength from relative momentum. One four-state matrix keeps labels, bars, oscillator color, and dashboard status aligned. The benchmark input supports market, sector, crypto pair, or cross-asset comparison. How to Use Add the indicator and choose a benchmark for your trading universe. Read the phase from bar color, oscillator color, and dashboard. Combine phases with price structure, volume, and higher-timeframe context. Customization Calculation Window (default: 20) - WMA normalization period. Higher is smoother; lower is faster. Benchmark Ticker (default: SPX) - Relative strength comparison symbol. Smoothing Factor (default: 3) - EMA smoothing after RS calculations. Phase Colors and Toggles - Adjust colors, labels, and bar coloring. Conclusion Aura RSP Matrix is a relative strength context tool for rotation, watchlist filtering, and benchmark-relative trade selection. Use it with price action and risk controls, not as a standalone forecasting system.
Pine Script® indicator
by Pineify
Tectonic Ribbon Oscillator [JOAT]Tectonic Ribbon Oscillator Introduction Tectonic Ribbon Oscillator is an open-source lower-pane momentum field built from twenty lag-reduced strands. The script classifies whether momentum is in bullish expansion, bearish expansion, or twist compression by comparing the ribbon's fast, mid, and slow structure instead of relying on a single oscillator line. The problem Tectonic solves is momentum depth. A single oscillator can show direction, but it usually hides how broad or fragile the move actually is. Tectonic exposes ribbon breadth, spread, slope, and divergence in one framework so the user can distinguish acceleration from compression. Core Concepts 1. Multi-Strand Ribbon Construction Each strand uses a progressively larger lookback and lag-reduced smoothing. This creates a depth field rather than a single-value oscillator. 2. Fast-Mid-Slow Spread Logic The oscillator compares grouped ribbon averages and uses the spread to determine whether momentum is directional or twisted into compression. 3. Regime Classification Bull, bear, and twist states are identified from the spread and held as confirmed regime transitions. 4. Divergence Validation Price pivots and ribbon pivots are compared to identify confirmed bullish and bearish divergence without using future leaks. 5. Momentum Support Layers Histogram and slope components add a second view of how the ribbon is accelerating or decelerating internally. Features Twenty-strand momentum ribbon: Progressive lookbacks create a true depth profile Lag-reduced smoothing: Ribbon strands are stabilized without reverting to a slow classic oscillator Twist regime detection: Compression is explicitly separated from directional impulse Confirmed divergence logic: Bullish and bearish divergence are tracked from confirmed pivot relationships Histogram and slope overlays: Secondary layers help gauge acceleration quality Top-right dashboard: State, spread, slope, histogram, depth, divergence, last shift, confirmation, and breadth are reported continuously How to Use This Indicator Step 1: Read the regime Bull and bear states indicate directional momentum dominance. Twist indicates compression or unstable breadth. Step 2: Compare spread and slope A large spread with weakening slope often indicates mature momentum. A fresh spread expansion with improving slope usually indicates earlier-cycle momentum. Step 3: Respect divergence in context Confirmed divergence is most useful when it appears against an already stretched ribbon state. Indicator Limitations Divergence is not a reversal guarantee Twist states can persist for long periods in balanced markets Shorter settings will react faster but can become noisy The oscillator is a momentum context tool and should be combined with market structure or regime logic Originality Statement Tectonic Ribbon Oscillator is original in the way it assembles a twenty-strand lag-reduced ribbon, grouped spread classification, divergence validation, and dashboard reporting into one momentum framework rather than publishing a lightly modified RSI derivative. Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice. Momentum and divergence signals can fail, especially during high-volatility structural breaks. Use independent analysis and risk management.
Pine Script® indicator
by officialjackofalltrades
Sortino Ratio Oscillator [MarkitTick]💡 The Sortino Ratio Oscillator introduces a sophisticated, risk-adjusted performance metric typically reserved for portfolio analysis, adapting it into a highly responsive momentum oscillator. By strictly penalizing downside volatility while rewarding upside momentum, it provides a much clearer picture of market strength compared to traditional oscillators that treat all volatility equally. ✨ Originality and Utility Standard momentum indicators measure the velocity of price movement based on general variance. However, traditional models penalize both upside and downside volatility. A massive bullish breakout creates "high volatility," which standard indicators often misinterpret as an overextended or risky market condition. This script resolves that inherent flaw by migrating the academic Sortino Ratio into a technical trading framework. It isolates "bad" volatility (price drops) from "good" volatility (price gains). The utility here is immense: traders can identify trends where the price action is genuinely supported by positive risk-adjusted returns, filtering out noisy markets where the downside deviation is too high. Furthermore, this tool features an integrated divergence detection engine, dynamic histogram coloring, and built-in webhook alert formatting, making it a comprehensive suite for algorithmic and discretionary traders alike. 🔬 Methodology and Concepts The core engine of this indicator relies on continuously assessing the bar-to-bar percentage return of the asset. First, it calculates the raw percentage return between the current close and the previous close. Next, it isolates the downside returns. If a return is positive, it is ignored for the risk calculation (treated as zero). If it is negative, it is squared to emphasize larger drawdowns, following standard variance practices. The script then computes the Simple Moving Average of these squared negative returns over a user-defined lookback window, calculating the square root to determine the final Downside Deviation. Simultaneously, the Simple Moving Average of the raw returns is calculated to find the mean return over the same period. The final Sortino Ratio is produced by dividing the mean return by the downside deviation. To smooth the output and generate actionable crossovers, a secondary Signal Line is derived by applying an average to the raw Sortino Ratio. To enhance the analytical depth, the script incorporates a robust divergence engine that scans for pivot highs and lows over a customizable lookback window. By comparing price action pivots with the oscillator's momentum peaks and troughs, it systematically maps out both regular and hidden divergences. 🎨 Visual Guide The visual presentation is meticulously structured to provide instant clarity on risk-adjusted momentum states. • The Sortino Histogram The core oscillator is plotted as a multi-colored histogram. It utilizes a four-state coloring system to indicate momentum shifts: Solid Bull Color: The ratio is above zero and rising, indicating accelerating positive risk-adjusted returns. Transparent Bull Color: The ratio is above zero but falling, suggesting positive momentum is decelerating. Solid Bear Color: The ratio is below zero and falling, indicating accelerating downside risk. Transparent Bear Color: The ratio is below zero but rising, showing that downside risk is waning. • Signal Line and Cloud Fill A highlighted Signal Line tracks the moving average of the Sortino Ratio. The space between the Sortino histogram and the Signal Line is filled with a dynamic cloud, helping traders easily spot shifts in immediate trend strength. • Threshold Lines Dashed lines represent the Overbought and Oversold thresholds. A solid gray line marks the Zero Level, acting as the primary baseline for positive versus negative risk-adjusted states. • Divergence Mapping Regular Bullish (RB): Displayed as a solid line connecting price lows to oscillator lows, complete with a label below the candle. Hidden Bullish (HB): Displayed as a dashed line, indicating trend continuation. Regular Bearish (RD): Displayed as a solid line connecting price highs to oscillator highs. Hidden Bearish (HD): Displayed as a dashed line. • Candle Coloring When enabled, the price chart's candles are painted to match the four-state color logic of the Sortino Histogram, linking the oscillator's data directly to the price action on the main chart. 📖 How to Use Traders can interpret the Sortino Ratio Oscillator through several distinct frameworks depending on their trading style. • Zero-Line Crossovers A baseline shift occurs when the histogram crosses the zero line. A cross into positive territory confirms that the average returns now outweigh the downside deviation, signaling a structurally sound bullish environment. Conversely, a drop below zero warns that downside volatility is dominating the asset's behavior. • Signal Line Interactions Watch for the histogram to cross the Signal Line. When the Sortino Ratio spikes above its signal line, momentum is expanding. When it crosses below, it often precedes a consolidation or a reversal, as highlighted by the cloud fill changing colors. • Extremes and Reversals The Overbought and Oversold threshold lines act as exhaustion markers. An asset sustaining a Sortino Ratio above the Overbought level is exhibiting unusually high, unpenalized upside movement. While strong, traders should watch for the histogram to peak and cross back below the Signal Line as an early warning of a pullback. • Trading Divergences Divergences are perhaps the most powerful signals generated by this tool. Look for Regular Bullish Divergences when the price makes a lower low, but the Sortino Ratio makes a higher low. This indicates that despite the price drop, the underlying downside volatility is shrinking relative to the mean return, hinting at a bottom. Hidden Divergences are excellent for trading pullbacks in the direction of the macro trend. ⚙️ Inputs and Settings • Sortino Settings Lookback Length: Defines the period used to calculate the mean return and downside deviation. A shorter length is highly reactive, while a longer length provides macroscopic trend stability. Signal Length: Adjusts the smoothness of the Signal Line. Overbought / Oversold Levels: Customizes the threshold lines for extreme readings. • Candle Coloring A simple toggle to enable or disable the dynamic coloring of the main chart price candles based on the oscillator's state. • Divergence Settings Enable Divergence: Master toggle for the divergence engine. Show Regular / Hidden: Independent toggles to filter specific divergence types. Pivot Lookback Left / Right: Determines the strictness of the pivot point detection. Higher values require more significant peaks and troughs to form a valid pivot, filtering out noise. • Webhook Action Names Customizable string inputs allowing algorithmic traders to map specific script events directly to JSON payloads for automated execution platforms. 🔍 Deconstruction of the Underlying Scientific and Academic Framework The Sortino Ratio, developed by Dr. Frank A. Sortino, is a vital modification of the Sharpe Ratio. In Modern Portfolio Theory, the Sharpe Ratio evaluates the performance of an investment by adjusting for its risk, defined universally as the standard deviation of its returns. However, standard deviation measures total volatility, treating an unexpected positive gain exactly the same as a negative loss. This oscillator resolves that mathematical paradox by isolating downside deviation. The scientific framework dictates that a minimum acceptable return—in this script's case, zero—must be established. Only returns falling strictly below this threshold are aggregated and squared to calculate the downside variance. By exclusively measuring the standard deviation of negative asset returns, the formula effectively removes the penalty for upside volatility. In a purely academic sense, a high Sortino Ratio mathematically proves that the asset is generating its returns without suffering significant, erratic drawdowns. Translated into technical analysis, when the indicator rises, it mathematically proves that the ratio of upward momentum relative to downward variance is expanding. This makes it an incredibly robust statistical measure, completely immune to the standard look-around bias of typical mathematical oscillators that collapse under the weight of sudden, positive price shocks. ⚠️ Disclaimer All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion.
Pine Script® indicator
by MarkitTick
Asterion Regime Lattice [JOAT]Asterion Regime Lattice Introduction Asterion Regime Lattice is an open-source market regime oscillator designed to classify whether conditions are directional, transitional, or balanced by combining multiple independent measurements into one continuous score. Instead of relying on a single trend indicator, it evaluates trend displacement, momentum, volatility behavior, directional movement, efficiency, choppiness, entropy, and higher-timeframe confirmation. The problem this script solves is regime ambiguity. Many entries fail because traders apply trend logic in rotational conditions or mean-reversion logic in expanding directional phases. Asterion Regime Lattice provides a higher-level state model first, so any downstream tool can be interpreted in the proper context. The pane output uses layered lattice bands, a smoothed score curve, regime shading, and a compact dashboard to make the current state readable at a glance without covering price. Core Concepts 1. Composite Regime Scoring The script builds a regime score from several independent components rather than one oscillator. It measures fast/slow trend displacement, momentum direction, volatility expansion, directional movement, efficiency ratio, choppiness, Shannon entropy, fractal dimension, RSI state, and ADX-derived trend strength. Each component is normalized, weighted, and added into a single signed score where positive values indicate bullish expansion and negative values indicate bearish expansion. 2. Higher-Timeframe Confirmation Two higher timeframes are requested with `request.security()` using `lookahead = barmerge.lookahead_off`. This keeps the script non-repainting while allowing the current timeframe to compare itself against broader directional conditions. The higher-timeframe pack contributes trend bias, momentum bias, volatility bias, directional movement bias, slope, ROC, and ADX strength. = request.security(syminfo.tickerid, htfOne, f_htfPack(), lookahead = barmerge.lookahead_off) 3. Structure Quality and Noise Separation The script uses efficiency, choppiness, entropy, and fractal-dimension style measurements to separate clean directional movement from noisy rotation. That matters because two markets can have similar momentum but very different trade quality. Asterion does not only ask "is price moving?" It also asks whether the move is organized enough to treat as a real regime. 4. Lattice Bands and Regime Zones The oscillator uses inner and outer bands around the smoothed score curve to display soft and strong regime zones. When the score pushes beyond soft thresholds the state becomes directional. When it pushes through stronger thresholds with quality and higher-timeframe agreement, the state becomes more decisive. This layered presentation makes the transition from balance to expansion visible before and during the full move. 5. Confirmed State Transitions Alerts and state changes are only confirmed on closed bars. This keeps the script suitable for live use and avoids intrabar state flips being treated as final. Features Composite regime score: Blends trend, momentum, volatility, efficiency, entropy, fractal behavior, RSI, and DMI/ADX context Dual higher-timeframe confirmation: Uses two configurable timeframes with `lookahead_off` Trend quality layer: Separates clean directional movement from noisy or choppy conditions Inner and outer lattice bands: Visualize soft and strong directional zones Pane regime shading: Background tint shifts with the current market state Optional bar tinting: Can color price bars by current regime while keeping the oscillator in a separate pane Dashboard summary: Reports regime, quality, HTF alignment, volatility, momentum, efficiency, entropy, and directional state Confirmed-bar alerts: Bull, bear, soft bull, soft bear, and transition events trigger only after bar confirmation Input Parameters Core: Fast Length and Slow Length: Trend displacement backbone Momentum Length and Trend Slope Length: Speed and directional persistence measurements Structure Length, Volume Length, Volatility Length: Core normalization windows Efficiency Length, Choppiness Length, Entropy Length, Entropy Bins, Fractal Length: Noise and organization diagnostics RSI Length and ADX Length: Directional strength and internal pressure inputs Higher-Timeframe Confirmation: Primary HTF and Secondary HTF Strong ADX and Weak ADX thresholds Visuals: Pane shading toggle Lattice band toggle Score curve toggle Bar tint toggle Curve smoothing and band multipliers How to Use This Indicator Step 1: Read the Regime Row Start with the Regime row in the dashboard and the position of the score relative to the soft and hard thresholds. This tells you whether the market is directional, balanced, or in transition. Step 2: Check Quality Before Acting A high-magnitude regime score with weak quality is less reliable than a slightly smaller score with strong quality. Use the Quality row to decide whether the move is organized enough to trust. Step 3: Compare With Higher Timeframes The HTF row helps determine whether the current timeframe is aligned with the broader backdrop or fighting it. Stronger follow-through usually appears when local and higher-timeframe states agree. Step 4: Use It as a Context Filter Asterion is best used as a regime filter. Trend systems generally perform better when the oscillator is directional and quality is strong. Mean-reversion logic is generally more appropriate when the score is near balance and noise metrics dominate. Indicator Limitations The script is a classifier, not a predictive model. It describes current conditions; it does not forecast future direction Higher-timeframe confirmation can lag turning points because those bars must close before their state is final In low-range grinding markets, the oscillator can remain transitional for extended periods Any weighted composite reflects design choices; different markets may require threshold adjustments Originality Statement Asterion Regime Lattice is original in the way it combines directional scoring, higher-timeframe agreement, and multiple noise-quality measurements into one structured regime model. It is not a simple trend oscillator with a new color scheme. The script is built around the idea that regime is a blend of direction, organization, and alignment across timeframes, and its lattice presentation is designed to make those layers visible rather than hiding them behind a single line. Disclaimer This script is provided for educational and informational purposes only. It is not financial advice and does not guarantee any outcome. Regime measurements are based on historical price and volume behavior and can produce false or delayed readings, especially during sudden event-driven changes in market conditions. Always use independent judgment and risk management.
Pine Script® indicator
by officialjackofalltrades
Volume Weighted Median Oscillator [AlgoAlpha]🟠 OVERVIEW This script measures price movement relative to a volume-weighted median instead of a simple average. It builds an oscillator that reflects where price is positioned compared to the level where most trading activity is concentrated. This helps reduce the effect of outliers and highlights more balanced price zones. The output combines a momentum histogram and a smoothed oscillator line, both normalized by recent price range. It also includes a signal line and visual zones to show when price is stretched relative to its volume-based center. 🟠 CONCEPTS Volume-Weighted Median — The price level where half of the traded volume occurred above and half below within the lookback window. Normalized Momentum — The difference between current price and the weighted median, divided by an average price range to keep values comparable across markets. Median Trend Deviation — The distance between the median and its longer-term EMA, used to define the main oscillator direction. Volume Normalization — Current volume divided by its moving average to highlight periods of higher activity. Signal Line — An EMA of the oscillator used to track short-term direction changes. 🟠 FEATURES Dual Output Structure — Combines histogram and oscillator line. • Histogram shows short-term momentum shifts. • Oscillator line reflects broader deviation from median trend. Optional Smoothing — Applies WMA smoothing to reduce noise in both outputs. Dynamic Ribbon — Visual fill between oscillator and signal line. • Changes color based on direction. • Intensity reflects strength of separation. Overbought and Oversold Zones — Gradient fills beyond defined thresholds. • Expands visually as extremes increase. • Helps identify stretched conditions. Volume-Aware Zero Line — Brightness increases when current volume exceeds its average. Volume-Weighted Median Core — Uses sorted price and volume arrays to compute a true weighted median. • Reduces sensitivity to spikes compared to mean-based indicators. • Anchors calculations to where trading activity is concentrated. Built-in Alerts — Includes conditions for crosses, zone entries, and ribbon flips. 🟠 HOW TO USE Watch the histogram crossing above or below zero — shows short-term momentum shifts relative to the median. Use the main oscillator crossing zero — indicates broader directional bias change. Track crosses between the oscillator and its signal line — helps identify early trend shifts. Observe entries into extreme zones — signals that price is stretched relative to its volume center. Pay attention to ribbon color changes — confirms alignment between momentum and trend. Check zero line brightness — higher brightness suggests stronger participation behind moves. 🟠 CONCLUSION Volume Weighted Median Oscillator combines a volume-based median, normalized momentum, and trend deviation into one view. It focuses on where trading activity is concentrated instead of simple averages. This gives a clearer read on price imbalance and helps traders judge when moves are supported or stretched.
Pine Script® indicator
by AlgoAlpha
8
Quantum Momentum Wave [Pineify]Quantum Momentum Wave Quantum Momentum Wave is a signed peak-momentum oscillator paired with a Kaufman-style adaptive filter. Instead of measuring the net change from one point to another, the wave scans the full lookback window and returns the largest absolute price displacement with its original sign. The wave is linearly smoothed and then tracked by an adaptive signal line, so entry markers fire on context-filtered reversals rather than every momentum flip. Key Features Signed peak-momentum engine that isolates the strongest move inside the lookback Linear regression smoothing to tame the step-change behavior of raw peak readings Adaptive signal line that speeds up when the wave is stretched and slows down in noise Zone-filtered BUY and SELL markers that only fire when the wave is past zero in the opposite direction Gradient fill between the wave and zero — bullish above, bearish below Alerts for reversal setups and for zero-line regime shifts How It Works The core function is a QMW scan. On each bar it walks the last Momentum Lookback bars, computes price minus each historical bar, and keeps the comparison that produced the largest absolute change. It returns that value with its original sign. So a -6 reading means the single strongest move inside the window was a 6-unit drop, even if the bar-to-bar change right now is small. Raw peak readings step when a new candle takes over as the dominant move, so the output is passed through linear regression over the Signal Smoothing length. LR fits a straight line through the recent raw values and returns its endpoint, preserving signed direction while cutting short-term jitter. The adaptive signal runs a Kaufman-style update on top of the smoothed wave. Its coefficient is the ratio of the wave's absolute value to the sum of its recent absolute one-bar changes. When momentum is clearly extended and directional, the ratio is high and the signal follows quickly. When the wave oscillates near zero, the ratio collapses and the line nearly freezes. How the Components Work Together Three layers combine into one output. The peak scan answers how hard has price moved inside the window, not just where it ended. Linear regression answers what is the underlying direction of the peak reading after filtering out one-bar swaps between competing peak bars. The adaptive signal answers when has that direction actually shifted by providing a responsive reference line. Entries layer a location filter on top. A crossover only qualifies when the wave is on the opposite side of zero — buys look for the wave turning up while stretched below zero, sells for the wave rolling over while stretched above it. Crosses near the midline are ignored because they tend to be low-conviction flips without prior displacement, so the setup is biased toward reversals from extended states rather than trend-chasing entries. Trading Ideas and Insights BUY triangles below zero can flag exhaustion of a downside push and a possible rotation back toward the mean SELL triangles above zero can flag fading upside strength after an extended rally Zero-line crosses act as broader regime markers; alerts on those can frame intraday bias During strong trends the wave may stay on one side of zero for many bars. Counter-trend BUY or SELL labels in that state often need extra confirmation from price structure or higher-timeframe context Signals are context aids, not standalone trade instructions. Past reactions at these conditions do not guarantee future ones. Unique Aspects The momentum calculation returns the peak signed displacement within the lookback, not a simple close-minus-close value. The reading stays elevated while the dominant move is still inside the window, which tracks the strongest displacement in memory rather than just endpoint delta The adaptive signal uses a non-standard variation of Kaufman's efficiency ratio — absolute wave value divided by total absolute wave travel — tuned for oscillator input rather than raw price Entry markers require both a crossover and a zone match. No label prints for a crossover that happens in the neutral zone around zero, which filters out the weakest setups How to Use Add the indicator to the chart and start with the defaults. The thicker line is the Quantum Wave; the fainter line is the Adaptive Signal Read the wave color and the gradient fill to see which side of zero the wave is on and how stretched it is Watch for BUY triangles when the wave is clearly below zero and turning up through the signal line Watch for SELL triangles when the wave is clearly above zero and turning down through the signal line Configure alerts for buy, sell, or zero-cross conditions if you want notifications outside the chart Customization Source Data (default: close) — Price series used for the peak momentum scan Momentum Lookback (default: 14) — Window size for the peak displacement scan. Higher values capture broader swings; lower values react faster Signal Smoothing (default: 9) — Linear regression length applied to the raw wave. Higher values produce a cleaner line with more lag Bullish Color / Bearish Color — Wave color in positive and negative territory, and the BUY/SELL marker colors Adaptive Signal Color — Color of the adaptive reference line; a subtle contrast against the wave usually reads cleanest Limitations Linear regression smoothing introduces a small amount of lag. On fast reversals the wave can reach the crossover a few bars after price has already moved Because the adaptive ratio uses the wave's own value, very small wave readings near zero make the signal line nearly freeze. This is deliberate but means the reference reacts slowly while momentum is mild Mean-reversion style BUY and SELL labels can occur repeatedly during strong trends. Pair them with price structure or higher-timeframe bias instead of using them in isolation Conclusion Quantum Momentum Wave is for traders who want an oscillator that reflects the strongest recent move rather than the endpoint delta. Its value comes from the combination of peak-momentum measurement, linear regression smoothing, and an adaptive reference line that only produces labels when the wave is both stretched past zero and visibly turning back.
Pine Script® indicator
by Pineify
Ultimate Scalping Tool 2.0 [BullByte]Ultimate Scalping Tool 2.0 What This Tool Was Built For UST 2.0 is a flux oscillator designed to help scalpers and intraday traders read market state more clearly. It sits in the lower pane of your chart and shows you whether the current market environment is trending cleanly, compressing before a move, chopping in a range, or losing momentum after an extension. The core idea is simple. Four internal measurements feed into one oscillator. Each measurement looks at a different part of market behavior: how cleanly price is traveling, whether momentum is meaningful given current volatility, what volatility itself is doing, and whether participation is building or fading. These four readings are weighted differently depending on what the market is doing right now. During a trend, directional measurements get more weight. During compression, volatility and flow get more weight. During a range, momentum and participation matter most. The output is displayed as a candle on the oscillator pane. The candle color, the regime label, the confluence histogram, and the structural overlays all update on every bar to give you a current read on conditions. This is not a signal generator. It is a state monitor. You still need to decide when and how to act. --- Why Version 2.0 Exists Separately Ultimate Scalping Tool Version 1.0 is still published. It uses a different internal structure and outputs labeled signals like Strong Buy and Pullback Sell. Many traders built their workflows around that approach, and changing it would have broken their setups. Keeping both versions available lets traders choose the workflow that fits how they trade. Version 2.0 shifts away from signal labels toward market state classification. The four internal measurements are different. The adaptive weighting engine is different. The visual output is different. The confluence scoring, multi-timeframe context, and oscillator-native zones are all new. The two scripts serve related but different purposes, which is why they exist side by side rather than as an update that replaces the first one. The continuity between them is the Flux State Candle concept. That visualization approach worked well enough in version 1.0 that it became the foundation for how version 2.0 displays its output. --- One Engine, Not a Collection of Indicators This is worth addressing directly because it is easy to look at a script that mentions RSI, ATR, and Bollinger Bands and assume it is just wrapping existing indicators together. That is not what is happening here. RSI does not appear on the chart. ATR does not appear on the chart. Bollinger Bands do not appear on the chart. None of the four internal measurements produce a visible output of their own. They are inputs into a calculation that produces one single output: the Flux Oscillator value. That value is then displayed as a candle. The reason RSI is used inside the Adaptive Momentum subsystem is not because RSI is a good indicator to show. It is because RSI gives a normalized momentum reading on a known scale, which makes it easier to combine mathematically with the other three measurements on equal footing. The period is not fixed. It changes at runtime based on current volatility, which standard RSI does not do. The output is scaled before it enters the weighting engine. What comes out the other side is not RSI. It is one weighted component of a composite reading. The same logic applies to ATR inside the Volatility Regime subsystem and to bar-structure calculations inside the Flow Proxy. These are raw materials, not finished products. They feed a pipeline that produces something different from any of them individually. The four subsystems were chosen because they answer four different questions: is price traveling efficiently, is momentum meaningful right now, is volatility expanding or contracting, and is participation building or fading. Those four questions together give a more complete picture of market state than any one of them alone. That is the design intent, and it is why the adaptive weighting engine matters. Different market conditions make different questions more relevant. The engine adjusts accordingly. --- The Four Internal Measurements The oscillator is built on four subsystems. Each one measures something the others do not. Directional Efficiency looks at how cleanly price is moving. A market that travels 100 points in a straight line has high efficiency. A market that gyrates up and down while netting only 20 points forward has low efficiency. This helps you see whether a trending move is organized or grinding. For scalping, clean efficient moves are easier to work with than choppy grinders. Adaptive Momentum uses RSI internally but selects the period based on current volatility. When volatility is high, it uses a shorter period to stay responsive. When volatility is low, it uses a longer period to reduce noise. The reading is then adjusted so that momentum in a high-volatility environment is not overstated and momentum in a quiet environment is not understated. Volatility Regime combines three volatility signals: where ATR sits within its recent range, whether short-window ATR is rising or falling relative to long-window ATR, and where Bollinger Band width sits within its range. Positive values mean volatility is expanding. Negative values mean it is contracting. Deep negative values below -0.20 usually mean the market is compressing hard, which often precedes directional expansion. Flow Proxy estimates directional participation from bar structure and relative volume. It approximates buying versus selling pressure using close position within range, price velocity weighted by volume, and absorption detection for high-volume bars with small bodies. This is not true order flow because that requires tick data. It is a proxy built from OHLCV data, and it behaves like one. These four readings are combined using weights that shift based on what the market is doing. You get one oscillator value per bar. That value is displayed as a candle, classified into a regime state, scored for confluence, and optionally blended with a higher-timeframe context reading. --- How the Regime Classification Works The script classifies every bar into one of four states: TREND UP, TREND DOWN, COIL, or RANGE. When efficiency is strong, momentum is aligned, and volatility is not compressing, the regime is TREND . When efficiency is low, volatility is compressing hard, and participation is building, the regime is COIL . When none of those conditions are met, the regime is RANGE . The regime label appears near the bottom of the pane on the last bar. The background tint changes subtly based on the regime. This classification affects how the four measurements are weighted before they combine into the oscillator value. --- The Confluence Histogram The gold histogram at the bottom of the pane shows the confluence score from 0 to 100. The score measures how aligned six independent factors are: regime matches oscillator direction, oscillator magnitude is strong, the four internal measurements agree on direction, the higher timeframe aligns with the current one, flow quality is clean without absorption, and volatility context supports the current structure. A low score means conditions are mixed or weak. A high score means the environment is organized and several factors are confirming the same picture. The histogram grows taller as the score rises. When the bar is short and dark amber, confluence is low. When the bar is tall and bright gold, confluence is high. This is useful for filtering. If you are watching for a breakout from a consolidation and confluence is at 80, the setup has more environmental support than the same breakout pattern with confluence at 30. The score does not tell you to enter or exit. It tells you whether the broader conditions are organized or scattered. --- How to Read the Flux State Candle The candle is built from the oscillator value, not from price. Green candles mean the oscillator is above its moving average. Red candles mean it is below. Violet candles mean a volume absorption bar was detected , which is a specific condition where high volume produced a small-bodied bar. The border brightness increases when the oscillator is further from its moving average. A bright border means conviction. A dim border means the reading is close to neutral. When the candle is consistently green and the cloud below it is stacked with the fast line above the slow line, the oscillator trend is internally aligned in a bullish direction. When the candle flips to red and the cloud inverts, the oscillator trend is bearish. When the cloud is mixed and candles are alternating color frequently, the oscillator is in a transition or range state. --- Oscillator-Native Zones and Trendlines The red and green-cyan lines you see on the oscillator pane are support and resistance zones, but they are zones on the oscillator itself, not on price. They mark levels where the oscillator has repeatedly turned. These are built from confirmed pivot highs and lows. When the oscillator approaches a red resistance zone that has been touched five times, you know the flux reading is approaching a level where it has reversed before. If price is near a key price level at the same time and confluence is high, that convergence can add weight to a reversal setup you are already watching on the price chart. The cyan and orange trendlines work the same way. They connect confirmed swing points on the oscillator. A cyan ascending trendline from oscillator swing lows tells you the oscillator structure is building higher. An orange descending trendline from oscillator swing highs tells you the oscillator structure is weakening lower. These lines appear after the swing points are confirmed, not before. All of these structural tools use confirmed pivot logic, which means they appear a few bars after the actual turning point. This is intentional. Unconfirmed pivots fail frequently. Waiting for confirmation removes most of the false starts. When you see a zone or trendline appear or update, it is showing you structure that has been validated by subsequent price action, not structure that might form. Reading the oscillator structure in practice looks like this. Two red resistance lines sitting around +25 and +30 on the oscillator, both labelled R MAJO R, tell you that every time flux has pushed up into that band it has been rejected. That ceiling has held six and seven touches respectively. Until flux breaks and closes above those two red lines, the upside is capped on the oscillator. Below there is an S ZONE 3T sitting near -15. That is the floor that has caught the most recent bounce. On the trendline side, three cyan ascending lines rising from the lower left are bull trendlines built from oscillator swing lows. The lowest at TL 52% is the broadest support. The middle at TL 66% is tighter. The top at TL 74% is the steepest and most recent. If flux bounces off the TL 74% line, that is the most important touch right now. An orange descending line pressing down from above is the bear trendline. When flux is squeezed between a rising cyan trendline and a falling orange trendline, that is a classic wedge compression on the oscillator and it often precedes a directional expansion once one side breaks. --- Divergence Labels When the oscillator and price stop agreeing on direction, the divergence engine marks it on the chart. There are four labels. Each one means something specific. DIV+ appears below the oscillator at a swing low. It means price made a lower low on the price chart, but the oscillator made a higher low at the same point. The downward move is losing internal support. This is regular bullish divergence and it tends to appear near potential exhaustion of a downward move. DIV- appears above the oscillator at a swing high. It means price made a higher high on the price chart, but the oscillator made a lower high at the same point. The upward move is losing internal support. This is regular bearish divergence and it tends to appear near potential exhaustion of an upward move. H+ appears as a small circle at a swing low. It means price made a higher low, a normal pullback in an uptrend, but the oscillator made a lower low. The oscillator dipped deeper than price did. This is hidden bullish divergence. It often appears mid-trend during a pullback and can suggest the trend is likely to continue. H- appears as a small circle at a swing high. It means price made a lower high, a normal pullback in a downtrend, but the oscillator made a higher high. The oscillator pushed higher than price did. This is hidden bearish divergence. It often appears mid-trend during a bounce and can suggest the downtrend is likely to continue. All four labels appear a few bars after the actual swing point because the pivot must be confirmed by subsequent bars before the label is placed. When you see a label appear, it is sitting on a past bar where the swing has already been validated. Nothing is marked in advance. The label was not there before, and it will not move or disappear after it appears. --- How This Fits Into a Price Action Workflow Here is one example of how the tool can layer into a real trade setup. You are watching a 5-minute chart. Price has been consolidating in a tight range for the last hour. On the main price chart, you see a clean horizontal level being tested multiple times. That is your setup area. You are waiting for a breakout. You glance at the oscillator pane. The regime label says COIL. The flux candles are small and alternating color near the zero line. The confluence histogram is rising and just reached 65. VRI in the dashboard shows -0.25, which is hard compression. COFP is positive and building. This tells you the oscillator agrees with what you are seeing on price: the market is compressing. Volatility is contracting. Participation is starting to build in one direction. Confluence is improving, meaning the internal measurements are starting to agree. You wait. Price breaks the consolidation upward on increased volume. At the same moment, the flux candle turns bright green with a strong border. The regime label flips to TREND UP. The confluence histogram jumps to 78. The cloud stacks bullish. The dashboard shows all four internal measurements turned positive. You already know where your entry is from the price chart. The oscillator is not telling you to buy. The oscillator is telling you the conditions support the breakout you are watching. Efficiency turned positive, meaning price is traveling cleanly. Momentum confirmed. Volatility started expanding. Flow is directional. The environment is organized. You take the trade based on your price-action plan. You manage the trade from price structure. But while you are in the trade, you glance at the oscillator occasionally. If the flux candle stays green and confluence stays high, conditions remain supportive. If the candle turns red and confluence drops, you tighten your management because the internal read is weakening. A real chart example of what COIL into expansion looks like: Gold on the 3-minute chart shows a full cycle, a base building through the early session, a strong impulsive rally, then a controlled rollover where the oscillator hugs just above zero with the regime label reading COIL. The oscillator has compressed hard after the post-peak selloff, and the cyan ascending bull trendline is now acting as the floor of the oscillator structure. This is the compression phase the tool is designed to identify before the next directional move develops. --- What This Tool Does Not Do This script does not tell you where to enter or exit. It does not produce buy and sell signals. The flux candle, the regime label, the confluence score, and the structural overlays all describe conditions, not actions. The zones and trendlines on the oscillator are not price levels. They are oscillator levels. They tell you where the oscillator has turned before, not where price will turn next. The HTF oscillator is a simplified version of the current-timeframe calculation. It uses fixed parameters and reduced components for cross-timeframe stability. It is useful for context, but it is not identical to the full engine running on the higher timeframe. Pivot-based elements appear after confirmation, which means they lag the actual pivot by the confirmation period . This is intentional. The tradeoff is fewer false signals at the cost of slightly delayed information. Confluence measures environmental alignment, not trade direction. A high score means conditions are organized. A low score means they are not. Neither tells you to buy or sell. --- Recommended Timeframes and Settings This tool works best on intraday timeframes from 1 minute to 1 hour. For active scalping, use 1-minute to 5-minute charts with the HTF set to 15 minutes. For slightly slower intraday swings, use 15-minute to 60-minute charts with the HTF set to 4 hours or daily. The multi-timeframe panel should show timeframes that are meaningfully different from your chart timeframe. If you are on 5 minutes, set the panel to 15 minutes, 60 minutes, and 240 minutes. If the panel shows timeframes that are too close together, the readings will be nearly identical and provide no additional information. The default settings are balanced for general use. If the oscillator is too noisy, increase the DER length or the AMVS base period. If the oscillator is too slow, decrease them. If zones and trendlines are appearing too frequently, increase the minimum touch requirements. If they are not appearing enough, decrease them. The adaptive weighting setting should generally stay on unless you have a specific reason to use fixed manual weights. The adaptive behavior is part of how the tool adjusts to different market conditions. --- Understanding the Limitations No indicator can predict the future . This tool shows you the current state of several internal measurements and how aligned they are. It does not know what will happen next. Markets can shift from organized to chaotic in seconds. A high confluence reading can drop to low confluence on the next bar if one of the internal measurements changes direction. That is normal. The tool is reactive, not predictive . The S/R zones and trendlines are based on past oscillator behavior. Just because the oscillator turned at a zone five times before does not mean it will turn there again. Past structure informs context but does not guarantee repetition. Divergence suggests momentum quality is changing. It does not guarantee reversal. Many divergences resolve with price continuing in the original direction after a brief pause or consolidation. Volume absorption detection is based on relative volume and body size. It identifies a specific bar condition but does not tell you how the market will respond to that condition. --- A Note on Expectations This script was built to give scalpers and intraday traders more clarity about market state. It was not built to replace chart reading, price action analysis, or trade management discipline. If you are looking for a tool that tells you exactly when to enter and exit, this is not that tool. If you are looking for a tool that helps you see whether the current environment is organized or messy, whether internal measurements are aligned or conflicting, and whether higher-timeframe context supports or opposes your intended direction, this can help with that. The best results come when the oscillator is used as confirmation for setups you are already identifying from price structure, not as a standalone signal generator. The flux candle, regime label, confluence score, and structural overlays are all context layers. They work best when layered on top of solid price action principles, not in place of them. --- Disclaimer This script is published for educational purposes. Trading involves substantial risk of loss. No indicator or tool can eliminate that risk. Past performance of any indicator does not predict future results. The author is not responsible for any trading decisions made using this script. Always apply your own risk management, test thoroughly on demo or simulation before live use, and never risk more than you can afford to lose. - BullByte
Pine Script® indicator
by BullByte
6
Equilibrium Momentum Shift + Divegence [BigBeluga]🔵 OVERVIEW Equilibrium Momentum Shift is a range-based momentum oscillator designed to measure how far price has deviated from its current equilibrium. Instead of focusing purely on trend direction or overbought/oversold conditions, this indicator evaluates price relative to the midpoint of its recent range and quantifies the strength of the shift away from that balance. By combining normalized range deviation, smoothing techniques, and nonlinear compression, the indicator provides a clear view of when markets transition from equilibrium into directional momentum, now featuring Normal Divergence detection to spot potential trend reversals. 🔵 CONCEPT Equilibrium Midpoint — The midpoint between the highest high and lowest low over the selected range length represents the equilibrium price. Deviation Measurement — The indicator measures how far the current price has moved away from this midpoint. Range Normalization — Deviations are normalized relative to the size of the current range, allowing the oscillator to remain consistent across different volatility conditions. Momentum Compression — A hyperbolic tangent function compresses extreme values, stabilizing the oscillator and preventing runaway signals during large trends. Divergence Identification — Automatically identifies discrepancies between price action and the oscillator to highlight weakening momentum in established trends. 🔵 HOW IT WORKS 1️⃣ Equilibrium Range Calculation The indicator calculates the highest high and lowest low over the user-defined range length. The midpoint between these two levels forms the equilibrium line. This midline represents the center of balance for recent price activity. 2️⃣ Price Deviation Measurement The distance between the current close and the equilibrium midpoint is calculated. This deviation is then smoothed using a double EMA structure to reduce noise. The smoothed value is normalized relative to half of the current range size. 3️⃣ Nonlinear Oscillator Transformation A hyperbolic tangent function compresses normalized deviations into a stable range between -1 and +1. This transformation prevents extreme outliers and creates a more interpretable oscillator. 4️⃣ Momentum Histogram A signal line is generated using EMA smoothing. The difference between the oscillator and the signal line forms a histogram. The histogram behaves similarly to a MACD-style momentum indicator: Expanding bars indicate strengthening momentum. Contracting bars indicate weakening momentum. 5️⃣ Normal Divergence Logic Bullish Divergence: Occurs when price makes a Lower Low , but the Equilibrium Oscillator makes a Higher Low . This suggests that despite the price drop, the selling pressure relative to equilibrium is fading. Bearish Divergence: Occurs when price makes a Higher High , but the Equilibrium Oscillator makes a Lower High . This indicates that the buyers' ability to push price away from the midpoint is losing strength. 🔵 KEY FEATURES Equilibrium midpoint plotted directly on the chart. Range-normalized momentum oscillator. Hyperbolic tangent compression to stabilize signals. MACD-style histogram for momentum acceleration detection. Automatic Normal Divergence labels to spot exhaustion. Gradient-colored oscillator line reflecting directional bias. Dashboard displaying real-time momentum metrics. 🔵 DASHBOARD METRICS Shift — Current oscillator value showing how far price has moved from equilibrium. State — Market regime derived from oscillator thresholds: Bullish Bearish Neutral Range Position — Location of price inside the current range expressed as a percentage. Pressure — Magnitude of momentum deviation from equilibrium. 🔵 HOW TO USE Use the equilibrium midline as a dynamic balance reference. When the oscillator moves above zero, bullish momentum dominates. When the oscillator moves below zero, bearish momentum dominates. Trading Divergences: Watch for divergence labels when price is at historical range extremes. A bullish divergence near the "Lowest Low" of the range suggests a high-probability mean-reversion trade back toward equilibrium. Histogram expansions highlight momentum acceleration. Histogram contraction can signal potential momentum exhaustion. 🔵 INTERPRETING MOMENTUM SHIFTS Oscillator near zero → Market is balanced around equilibrium. Oscillator above 0.2 → Bullish momentum phase. Oscillator below -0.2 → Bearish momentum phase. Divergence Label + Oscillator Flatline → High probability of a trend reversal or deep pullback. Rapid oscillator expansion → Strong directional pressure. Oscillator flattening → Momentum compression or consolidation. 🔵 CONCLUSION Equilibrium Momentum Shift offers a structured way to analyze how price behaves relative to its recent balance point. By measuring normalized deviations from equilibrium and visualizing momentum shifts with a smoothed oscillator, histogram, and integrated divergence analysis , the indicator helps traders identify when markets transition from balance into directional movement. This makes it especially useful for spotting early momentum expansions, trend continuation signals, and potential exhaustion points where price is likely to snap back to its equilibrium midpoint.
Pine Script® indicator
by BigBeluga
13
AI Predictive Flow (Zeiierman)█ Overview AI Predictive Flow (Zeiierman) is a pattern-based oscillator that estimates future price direction by comparing the current market state to similar historical conditions. Instead of relying on traditional indicators like momentum or moving averages alone, the script builds a multi-feature representation of price behavior and uses a k-Nearest Neighbors (kNN) model to identify past patterns that closely resemble the present. From those matches, it derives an expected forward return, which is then transformed into a smooth oscillator and a predicted trend regime. The result is a forward-looking signal that reflects a data-driven expectation based on similar past patterns, not just current price movement. █ How It Works ⚪ Feature Extraction (Market State Model) The script converts price into a compact feature set that describes the current market state. It uses four core features: Short-term return Momentum RSI bias EMA spread These are created inside the feature function: feat(shift, mode) => c = close c1 = close cm = close ef = ta.ema(close, fLen) es = ta.ema(close, sLen) r = ta.rsi(close, rsiLn) float v = 0.0 if mode == 1 v := c1 != 0 ? math.log(c / c1) : 0.0 else if mode == 2 v := cm != 0 ? (c - cm) / cm : 0.0 else if mode == 3 v := (r - 50.0) / 50.0 else v := c != 0 ? (ef - es) / c : 0.0 v Each feature captures a different dimension of price behavior: return measures immediate movement momentum measures directional displacement RSI bias measures internal pressure EMA spread measures trend structure These values are then stacked across multiple bars to form the pattern used for comparison. ⚪ Pattern Memory (Historical Pattern Library) The script stores rolling sequences of each feature into separate matrices so the current market state can be compared against past states. That process is built here: pushFeat(mat, mode) => vals = array.new(tot, 0.0) for i = 0 to tot - 1 array.set(vals, tot - 1 - i, feat(i, mode)) cur = array.slice(vals, tot - len, tot) old = array.slice(vals, 0, len) matrix out = matrix.new(1, len, 0.0) for i = 0 to len - 1 matrix.set(out, 0, i, array.get(cur, i)) hist = array.new(len, 0.0) for i = 0 to len - 1 array.set(hist, i, array.get(old, i)) if mat.rows() >= mem mat.remove_row(0) mat.add_row(mat.rows(), hist) out This creates: a current feature row a rolling history of prior feature patterns So rather than comparing single-bar values, the model compares multi-bar pattern structure. ⚪ Pattern Matching Engine (kNN Distance Model) Once the current feature pattern is built, it is compared to all stored historical patterns. Distance is measured feature-by-feature across the full pattern length: getDist(matrix a1, matrix a2, matrix a3, matrix a4, matrix b1, matrix b2, matrix b3, matrix b4) => out = array.new(b1.rows(), 0.0) for i = 0 to b1.rows() - 1 s = 0.0 d1 = a1.diff(b1.submatrix(i, i + 1)).row(0) d2 = a2.diff(b2.submatrix(i, i + 1)).row(0) d3 = a3.diff(b3.submatrix(i, i + 1)).row(0) d4 = a4.diff(b4.submatrix(i, i + 1)).row(0) for j = 0 to len - 1 s += math.pow(d1.get(j), 2) * 0.25 + math.pow(d2.get(j), 2) * 0.25 + math.pow(d3.get(j), 2) * 0.25 + math.pow(d4.get(j), 2) * 0.25 out.set(i, math.sqrt(s)) out This produces a similarity score for every stored pattern. A smaller distance means the past setup looked more like the present one. ⚪ Prediction Model (kNN Forward Expectation) After the distances are ranked, the script selects the nearest neighbors and averages their future outcomes. The kNN model is implemented here: knn(dist, n) => ix = dist.sort_indices() useN = math.min(n, ix.size()) sumD = 0.0 avg = 0.0 for i = 0 to useN - 1 sumD += dist.get(ix.get(i)) if useN > 0 for i = 0 to useN - 1 d = dist.get(ix.get(i)) w = useN > 1 ? (sumD != 0 ? (1 - d / sumD) : 1.0) : 1.0 avg += Y.get(ix.get(i)) * w avg The forward return used for comparison is defined here: y := math.log(base) - math.log(base ) This represents the forward return following each historical pattern. The result is a weighted expectation of future movement, not just a reading of current trend. ⚪ Predictive Oscillator The raw kNN prediction is smoothed and transformed into the main oscillator and signal line. pred_ = ta.ema(pred, smth) if not na(pred) predSm := smth > 1 ? pred_ : pred osc = ta.ema(predSm, oscLn) sig = ta.ema(osc, sigLn) hist = osc - sig This creates: Oscillator = smoothed expected return Signal line = secondary smoothing for crossover confirmation Histogram = distance between oscillator and signal ⚪ Predicted Trend Regime Beyond the oscillator, the script also builds a broader trend regime using the predicted price path. First, the raw prediction is converted into a projected price line: predLine := base + base * (math.exp(pred) - 1) Then a regime band is created using ATR: hiRef = predLine + bandM * atr loRef = predLine - bandM * atr if ta.highest(hiRef, regLn) == hiRef trendUp := true if ta.lowest(loRef, regLn) == loRef trendUp := false This background state represents: bullish predicted regime when the projected path is pressing into new highs bearish predicted regime when the projected path is pressing into new lows So the background is not showing the raw price trend. It is showing the model’s predicted regime bias. █ How to Use ⚪ Read the Oscillator Above 0 → bullish expectation Below 0 → bearish expectation Near 0 → neutral/low conviction Far from 0 → strong directional push Use crossovers for entry timing: Bullish crossover → potential upward continuation Bearish crossover → potential downward continuation ⚪ Use the Predicted Trend Regime The background highlights the model’s broader directional bias: Green → predicted bullish regime Red → predicted bearish regime Regime shifts often indicate: early trend transitions continuation confirmation structural changes in expectation ⚪ Combine Signals Best use comes from alignment: Oscillator above zero + bullish regime + signal → strong continuation bias Oscillator below zero + bearish regime + signal → strong downside bias Divergence between the two → caution / mixed signals █ Settings Pattern Length – Controls how many bars define the current pattern. Higher values capture more structure, lower values increase responsiveness. Memory Size – Number of historical patterns stored for comparison. Larger values improve context but increase computation. Neighbors (k) – Number of closest matches used in prediction. Lower values are more reactive, higher values are smoother. Prediction Smoothing – EMA smoothing applied to the raw prediction. Reduces noise at the cost of lag. Signal Length – Smoothing of the signal line used for crossover signals. ----------------- Disclaimer The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information. All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
Pine Script® indicator
by Zeiierman
6
KDJ L2: Advanced Momentum & Reversal StrategyThis strategy utilizes an optimized KDJ oscillator to identify high-probability momentum shifts. By refining the traditional stochastic approach, it captures the "sweet spot" of trend reversals and breakout continuations, filtering out market noise. Its edge lies in the sensitivity of the J-line, allowing for timely entries before the crowd catches on Long Entry: Triggered when the J-line crosses above the BuyAlertLimit. Exit Logic: Positions are closed either when the J-line crosses below the SellAlertLimit or when the J-line crosses below the K-line (suggesting momentum exhaustion) while above the 50-level. I built this tool to make trading more systematic. Your feedback is the engine of its evolution! Please share your backtest results in the comments—let me know which pairs and timeframes work best for you. If you have ideas for adding trailing stops or new filters, drop a comment below. Together, we can make this the most robust KDJ tool on the platform Disclaimer Trading involves significant risk of loss. This script is for educational purposes only and does not constitute financial advice. Past performance does not guarantee future results. Always perform your own due diligence before trading with real capital
Pine Script® strategy
by MyStrategyHub