Barspattern

Torsion Range [JOAT]Torsion Range Introduction Torsion Range is an open-source compression, expansion, and wave-energy panel designed to track whether the market is coiling, releasing, trending, or exhausting. The script combines wave direction, weighted energy accumulation, compression scoring, and exhaustion logic into one regime-aware panel. The problem Torsion Range solves is fragmentation between wave tools and volatility tools. Traditional wave studies often ignore whether the market is compressing or expanding, while compression indicators often ignore directional wave state. Torsion Range merges both worlds so the user can monitor directional energy and structural volatility state together. Core Concepts 1. Wave Direction Engine The script supports multiple methods for determining directional wave state, including impulse, pressure, and hybrid behavior. This allows the model to adapt to different styles of price movement. 2. Weighted Energy Accumulation Wave state is not just directional. It is weighted by body, range, ATR context, and optional relative volume to produce a more informative torsion core. 3. Compression Index A 0-100 compression framework is built from fast and slow comparisons of range, body, and energy behavior. This allows the indicator to identify tight conditions before release. 4. Release and Exhaustion Logic Confirmed-bar release events occur when compression gives way to directional expansion. Exhaustion logic looks for overstretched waves with weakening internal behavior. 5. Dashboard and Regime Visualization The panel includes adaptive colors, background overlays, event flashes, and a top-right dashboard that summarizes wave state, bias, compression, and most recent event. Features Multi-method wave direction: Impulse, pressure, or hybrid state engine Weighted energy accumulation: Uses price and optional relative volume Compression scoring: Tracks coiling conditions on a normalized scale Confirmed release logic: Detects transition from compression to directional expansion Exhaustion detection: Flags overextended wave conditions Adaptive gradient styling: Institutional panel presentation for dark charts Regime overlays and event flashes: Highlights important state transitions cleanly Top-right dashboard: Summarizes live wave and compression state Confirmed event mode: Optional bar-close only event gating Alertconditions: Wave flips, release events, and exhaustion states How to Use This Indicator Step 1: Read the Wave State Determine whether directional energy currently favors bullish, bearish, or neutral behavior. Step 2: Check Compression High compression means stored energy but not yet confirmed release. Low compression with directional energy implies active movement rather than coiling. Step 3: Watch Release Events Release events matter most when they occur after genuine compression and align with the active wave bias. Step 4: Respect Exhaustion Exhaustion conditions can warn that a strong wave is becoming less efficient, even if trend has not yet fully reversed. Indicator Limitations Compression and exhaustion are relative, not absolute, conditions Wave direction depends on the selected method and will respond differently across market types This panel does not identify exact reversal bars and should not be treated as one Release events are strongest when combined with separate structural context Originality Statement Torsion Range is original in its fusion of wave-state persistence, weighted energy accumulation, compression analysis, and exhaustion logic within one panel. It is not a basic Weis-style clone and not a plain volatility gauge. Its value comes from combining directional energy and volatility state into a single workflow. Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice. Compression, release, and exhaustion states are analytical conditions derived from historical chart behavior and do not guarantee future outcomes. - Made with passion by jackofalltrades

Indicator

by officialjackofalltrades

Volatility Compression Oscillator [JOAT]Volatility Compression Oscillator Introduction Volatility Compression Oscillator is a two-line momentum oscillator that measures where price is trading inside a dynamic volatility envelope, then tracks the compression and release of that positioning through line crosses, histogram rotation, and divergence. It is designed to show when price is quietly loading pressure, when that pressure starts to expand, and when expansion may be exhausting. This script is useful for traders who want more than a standard bounded oscillator. It combines normalized price location, dual smoothing, histogram analysis, and divergence into one compact pane. Why This Indicator Exists Adaptive Normalization: Measures price against a volatility-sensitive envelope instead of a fixed formula Two-Speed Momentum Read: Uses fast and slow lines to reveal early shifts in pressure Compression / Release Logic: The histogram shows whether momentum is accelerating or fading Exhaustion Markers: Histogram peaks and troughs help spot unstable extensions Divergence Layer: Tracks when price makes a new swing but oscillator pressure does not confirm Core Components Explained 1. Dynamic Volatility Envelope offset = avgRange * scale * (1 + avgBody / avgRange) The script centers the envelope around the candle midpoint average, then expands it with both average range and average body contribution. This makes the oscillator adaptive to both volatility and candle conviction. 2. Normalized Oscillator Calculation rawOsc = 100 * (close - lowerBand) / bandWidth - 50 Price is transformed into a centered oscillator that measures whether price is trading in the upper or lower half of the active volatility envelope. 3. Dual-Smoothing Engine The raw oscillator is processed through fast and slow smoothing chains. Their relationship drives the main trend reading: Fast above slow = bullish pressure Fast below slow = bearish pressure Histogram expanding = pressure increasing Histogram fading = pressure weakening 4. Signal Layers The indicator produces several distinct signal families: MA Cross Signals: Momentum handoff between fast and slow lines OB/OS Crosses: Stretch events when Line 1 crosses the thresholds Histogram Peaks / Troughs: Local exhaustion cues Divergences: Price making a stronger swing while oscillator pressure weakens 5. Chart Cleanliness Controls Divergence lines are retained with an internal cap so the script does not keep drawing indefinitely. This keeps the pane readable and reduces object-limit risk on long-running charts. Visual Elements Histogram Columns: Momentum spread between fast and slow lines Fast Line: Main directional pressure line Slow Line: Reference trend line Zero Fill: Directional fill from Line 1 to the centerline OB/OS Background: Soft shading in stretch conditions Signal Markers: Circles, triangles, diamonds, and squares for different event types Dashboard: Trend, line values, histogram value, regime, and divergence state Input Parameters Volatility Window: Lookback for midpoint, body, and range normalization Band Scale %: Width multiplier for the adaptive envelope OB / OS Levels: Stretch boundaries for Line 1 Line 1 / Line 2 Smoothing: Controls responsiveness of the dual-line engine Pivot Length: Sensitivity for divergence and histogram turning points Histogram Peak Levels: Defines stronger exhaustion zones How to Use This Indicator Step 1: Determine whether fast is above or below slow. Step 2: Watch the histogram for acceleration or decay. Step 3: Use MA crosses for timing only when they occur in sensible zones. Step 4: Treat OB/OS signals as context for stretch, not automatic reversal commands. Step 5: Respect divergences most when they align with histogram exhaustion. Best Practices Use higher pivot lengths when markets are noisy Treat histogram turns near extremes as better-quality warnings Use line crosses in the direction of the higher-timeframe trend Avoid overreacting to every divergence in strong trends Keep marker display on only if you actively trade the signal layer Indicator Limitations Oscillators can stay overbought or oversold in strong trends Divergences are warning signs, not standalone trade systems Short smoothing lengths will create more noise Compression readings can fail to expand immediately Signal quality depends heavily on market structure and instrument behavior Technical Implementation Built in Pine Script v6 using: Adaptive volatility-band normalization Dual-smoothed oscillator lines Histogram spread calculation Pivot-based divergence detection Object-retention caps for divergence lines Confirmed-bar signal logic Originality Statement This indicator is original in how it frames volatility compression and release through normalized envelope location, dual-line momentum, histogram exhaustion, and divergence management in one pane. Its value comes from synthesis and signal layering rather than from any single oscillator component alone. Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice. Oscillator signals can fail, especially in volatile or trendless conditions. Always use proper risk management and independent judgment. -Made with passion by officialjackofalltrades

Indicator

by officialjackofalltrades

Torque Momentum Oscillator [JOAT]Torque Momentum Oscillator Introduction The Torque Momentum Oscillator is a sub-chart composite momentum engine that synthesizes four independent momentum perspectives into a single normalized 0–100 oscillator. Rather than relying on any one momentum calculation, it blends a stochastic-range oscillator, two RSI variants at different cycle lengths, and a Bollinger Band position reading into a weighted composite score — then colors the histogram on a gradient that instantly communicates whether momentum is building or exhausting. The philosophy behind TMO is that any single momentum indicator can be fooled by choppy markets or unusual price action. When four different momentum frameworks all agree, the composite reading carries genuine conviction. When they diverge, the composite score gravitates toward the midline — a built-in disagreement signal that keeps you from over-committing to a directional bias. Core Concepts Component 1 — RSV (Raw Stochastic Value) The RSV is a stochastic-style reading of where close sits within the highest high and lowest low range over the lookback period, smoothed with an SMA to reduce noise: float hiRange = ta.highest(high, rsvPeriod) float loRange = ta.lowest(low, rsvPeriod) float rsvRaw = safeDiv(close - loRange, hiRange - loRange, 0.5) * 100.0 float rsvLine = ta.sma(rsvRaw, rsvSmooth) The RSV line is also plotted independently as a fast overlay on the oscillator, giving it a secondary use as a crossover signal generator. When RSV crosses above 20, an Opportunity label fires. When it crosses back below 80, a Risk label fires. Component 2 — RSI Fast The standard Wilder RSI at the fast period (default 14) captures short-cycle momentum velocity. It contributes a responsive directional reading without being so short that it becomes noise. Component 3 — RSI Slow (Blackcat-Style) The slow RSI uses a blackcat-inspired manual construction: SMA of gains divided by SMA of absolute changes, rather than the standard Wilder smoothing: float rsiSlowVal = safeDiv( nz(ta.sma(math.max(close - prevClose, 0.0), rsiSlow), 50.0), nz(ta.sma(math.abs(close - prevClose), rsiSlow), 1.0), 0.5) * 100.0 This produces a longer-cycle momentum trend bias that is less sensitive to individual candle extremes, creating a smoother counterpart to the fast RSI. Component 4 — Normalized BB Position Bollinger Band position tells you where price sits in its statistical envelope: = ta.bb(close, bbLen, bbMult) float bbPos = math.max(0.0, math.min(100.0, safeDiv(close - bbLower, bbUpper - bbLower, 0.5) * 100.0)) At 100 price is at the upper band. At 0 it is at the lower band. At 50 it is exactly at the basis. This adds a volatility-relative momentum reading to the composite. Weighted Composite Score All four components are blended using user-configurable weights that are automatically normalized to sum to 1.0: float wSum = wRsv + wRsiF + wRsiS + wBB float composite = (rsvLine * (wRsv / wSum) + rsiFastVal * (wRsiF / wSum) + rsiSlowVal * (wRsiS / wSum) + bbPos * (wBB / wSum)) Default weights: RSV 35%, RSI Fast 25%, RSI Slow 25%, BB Position 15%. Gradient Histogram Coloring The histogram is colored on a gradient that transitions from full bear red near 0 to transparent near 50, then from transparent bull green near 50 to full bull green near 100. This produces an immediate visual sense of momentum intensity — a faint histogram near midline means indecision, a saturated histogram near the extremes means conviction. Features Four-component weighted composite oscillator: RSV + RSI Fast + RSI Slow + BB Position RSV component double duty: used in composite and plotted as independent fast line Gradient histogram — color intensity scales with momentum conviction Overbought (default 75) and oversold (default 25) zones with gradient fills RSV Opportunity label when RSV crosses above 20 — potential upswing signal RSV Risk label when RSV crosses below 80 — potential downswing signal Per-component weight controls — customize the blend to your trading style Midline reference at 50 and dashed OB/OS lines Dashboard showing composite, RSV, RSI Fast, RSI Slow, BB position, and last signal Auto dark/light theme detection Alerts for Opportunity, Risk, entering Overbought, and entering Oversold Webhook JSON alert format for automation Watermark Input Parameters Oscillator Settings RSV Period — lookback for the stochastic range calculation (default 20) RSV Smoothing — SMA length applied to raw RSV before use (default 3) RSI Fast Period — short-cycle RSI length (default 14) RSI Slow Period — long-cycle blackcat-style RSI length (default 24) BB Period — Bollinger Band lookback (default 20) BB Multiplier — standard deviation multiplier for BB width (default 2.0) Composite Weights RSV Weight — relative weight of the stochastic component (default 0.35) RSI Fast Weight — relative weight of the fast RSI (default 0.25) RSI Slow Weight — relative weight of the slow RSI (default 0.25) BB Position Weight — relative weight of the BB position reading (default 0.15) Visual Settings Overbought Level — upper threshold for OB zone and gradient fill (default 75) Oversold Level — lower threshold for OS zone and gradient fill (default 25) Show RSV Signals — toggles Opportunity and Risk label markers Theme — Auto, Dark, or Light Show Dashboard — compact panel with live component readings Dashboard Position — four corner options Show Watermark Colors Bull / Opportunity — color for bullish histogram bars and signal labels Bear / Risk — color for bearish histogram bars and signal labels RSV Line — color for the fast RSV overlay line RSI Fast — color for the RSI Fast overlay line How to Use Add TMO to your chart below price as a separate sub-pane oscillator. Watch the composite histogram for directional bias: readings above 50 favor longs, below 50 favor shorts. Use the OB zone (above 75) and OS zone (below 25) as caution areas — not automatic reversal signals, but places where momentum is stretched and a mean reversion or consolidation becomes more likely. Use Opportunity labels (RSV crossing above 20) as early warning that the stochastic component is turning up from deeply oversold — look for price confirmation before acting. Use Risk labels (RSV crossing below 80) as early warning of a potential momentum rollover from overbought. Check the dashboard to see exactly which components are driving the composite reading. If RSV and RSI Fast are both high but BB Position is low, the composite may not tell the full story. Adjust the component weights in settings to emphasize the momentum style that best suits your market. For crypto, increasing RSV weight can be effective. For equities, RSI Slow weight can provide a smoother signal. Indicator Limitations The composite is a weighted average and can only be as accurate as the components that feed it. In strongly trending markets with low volatility, RSV and BB Position can both hover near extremes for extended periods — the composite will look overbought even when trend continuation is the correct read. RSV Opportunity and Risk signals are generated by a single component (RSV) and should not be used in isolation as trade entries. They are high-probability turning-point flags that require price action confirmation. Warmup bars are required before the oscillator becomes reliable. The indicator suppresses output until sufficient history is available. This is a momentum indicator, not a trend direction indicator. It works best in liquid, active markets and may generate false signals during low-volume chop. Originality Statement The Torque Momentum Oscillator is an original Pine Script v6 publication. The architecture of combining RSV (stochastic-range), dual RSI cycles at different periodicities, and normalized Bollinger Band position into a single dynamically-weighted composite is an original design. The blackcat-style SMA-based RSI slow construction is an adapted technique included for its distinct noise characteristics, with full attribution. The gradient histogram coloring, RSV crossover signal system, and dashboard layout are original implementations built specifically for this publication. Disclaimer This indicator is for educational and informational purposes only. It does not constitute financial advice. Momentum readings are not predictions of future price direction. Always use proper risk management and never risk more than you can afford to lose. -Made with passion by jackofalltrades

Indicator

by officialjackofalltrades

Indicator

by officialjackofalltrades

Bars pattern ML This script implements a K-Nearest Neighbors (KNN)-based machine learning model to predict future price movements in financial markets. It analyzes past price action using Euclidean distance and selects the most similar historical patterns to estimate future price changes. Unlike traditional KNN implementations, this approach optimizes distance calculations by maintaining a dynamically updated list of the closest neighbors, ensuring efficient selection without the need for sorting. The model generates a forecasted price trajectory based on incremental predictions, which are visualized on the chart using polylines for better interpretability.

Indicator

by tkarolak

New Bar Alert This is probably the simplest indicator on Tradingview, it generates an alert on every new bar. Useful for strategies where you only need chart attention at the new bar, see if you have a setup. Helps not having to stare at the charts, the alert will tell you when it's time to take a look. Works on all timeframes but in order to keep your sanity, best used on higher timeframes, 5mins and up.

Indicator

by Nossgrr

Volume Bars Volume Sato's Bar / Satos Bar / Raio X Preditivo This is an experimental code based on Satos Bar by Raio X Preditivo It's a way to check expressive volume in one bar, and it's can give you an idea of a important Zones to make decisions. Example:

Indicator

by rafaelfernandesadvogado