UM VIX30-rolling/VIX Ratio oscillatorSUMMARY
A forward-looking volatility tool that often signals VIX spikes and market reversals before they happen. MA direction flips spotlight the moment volatility pressure shifts.
DESCRIPTION
This indicator compares spot VIX to a synthetic 30-day constant-maturity volatility estimate (“VIX30”) built from VX1 and VX2 futures. The VIX30/VIX Ratio reveals short-term volatility pressure and regime shifts that traditional VX1/VX2 roll-yield alone often misses.
VIX30 is constructed using true calendar-day interpolation between VX1 and VX2, with VX1% and VX2% showing the real-time weights behind the 30-day volatility anchor. The table displays the volatility regime, the VX1/VX2 weights, spot-term roll yield (VIX30/VIX), and futures-term roll yield (VX2/VX1), giving a complete, front-of-the-curve perspective on volatility dynamics.
Use this to spot early vol expansions, collapsing contango, and regime transitions that influence VXX, UVXY, SVIX, VX options, and VIX futures.
⸻
HOW IT WORKS
The script calculates the exact calendar days to expiration for the front two VIX futures. It then applies linear interpolation to blend VX1 and VX2 into a 30-day constant-maturity synthetic volatility measure (“VIX30”). Comparing VIX30 to spot VIX produces the VIX30/VIX Ratio, which highlights short-term volatility pressure and regime direction. A full term-structure table summarizes regime, VX1%/VX2% weights, and both spot-term and futures-term roll yields.
⸻
DEFAULT SETTINGS
VX1! and VX2! are used by default for front-month and second-month futures. These may be manually overridden if TradingView rolls contracts early. The default timeframe is 30 minutes, and the VIX30/VIX Ratio uses a 21-period EMA for regime smoothing. The historical threshold is set to 1.08, reflecting the long-run average relationship between VIX30 and VIX. All settings are user-configurable.
⸻
SUGGESTED USES
• Identify early volatility expansions before they appear in VX1/VX2 roll yield.
• Confirm contango/backwardation shifts with front-of-curve context.
• Time long/short volatility trades in VXX, UVXY, SVIX, and VX options.
• Monitor regime transitions (Low → Cautionary → High) to anticipate trend inflections.
• Combine with price action, NW trends, or MA color-flip systems for higher-confidence entries.
• MA red → green flips may signal opportunities to short volatility or increase equity exposure.
• MA green → red flips may signal opportunities to go long volatility, reduce equity exposure, or even take short-equity positions.
⸻
ALERTS
Alerts trigger when the ratio crosses above or below the historical threshold or when the moving-average slope flips direction. A green flip signals rising volatility pressure; a red flip signals fading or collapsing volatility. These can be used to automate long/short volatility bias shifts or trade-entry notifications.
⸻
FURTHER HINTS
• Increasing orange/red in the table suggests an emerging higher-volatility environment.
• SVIX (inverse volatility ETF) can trend strongly when volatility decays; on a 6h chart, MA green flips often align with attractive short-volatility opportunities.
• For long-volatility trades, consider shrinking to a 30-minute chart and watching for MA green → red flips as early entry cues.
• Experiment with different timeframes and smoothing lengths to match your trading style.
• Higher VIX30/VIX and VX2/VX1 roll yields generally imply faster decay in VXX, UVXY, and UVIX — or stronger upside momentum in SVIX.
Ketidakstabilan
QFT MTF Range DetectorQFT MTF Range Detector — QuantumFlowTrader
Description:
The QFT MTF Range Detector is a multi-timeframe (MTF) tool designed to identify consolidation zones or ranging conditions across multiple intraday timeframes — from 1 minute up to 4 hours. This indicator is optimized for high-frequency trading environments such as scalping and day trading.
How it works:
For each selected timeframe, the indicator evaluates five key technical conditions:
- Low ADX (less than 17) – suggesting weak trend strength.
- Range width within a specific normalized threshold.
- Normalized ATR (volatility filter) in a defined range.
- RSI near the neutral zone (40–60) with low volatility.
- Price proximity to the mid-range (consolidation center).
Each condition contributes a score. If at least 3 out of 5 conditions are met, that timeframe is considered to be in a range (consolidation).
Visual output:
A compact table is displayed on the chart showing all selected timeframes:
Black box = Timeframe is in a range (consolidation).
Purple box = Not in a range (likely trending or volatile).
Timeframes are labeled (e.g., "4H", "15M") for clarity.
Customization:
Choose display corner (top/bottom, left/right).
Enable or disable table borders.
Set custom colors for range and non-range signals.
Use case:
Traders can quickly assess which timeframes are in a range, helping them:
Avoid choppy markets,
Time entries and exits better,
Confirm multi-timeframe alignment.
Note: This is not a buy/sell signal indicator. It is a market condition filter to enhance decision-making.
QuantumFlowTrader V1QuantumFlowTrader V1 — Adaptive Institutional Flow Framework
Overview
QuantumFlowTrader V1 is a precision-built visual tool that fuses institutional structure, dynamic volatility, and balance zones into one unified system.
It is designed to help traders align with the market’s internal flow without relying on lagging indicators or fixed settings.
Core Components
1. Adaptive EMA Clouds — Structural Flow
Layered exponential moving averages adapt to current conditions, clearly showing when market structure is aligned or in transition. Cloud color and intensity adjust automatically to reflect real-time directional bias.
2. Dynamic VWAP + Deviation Zones
Includes a self-adjusting VWAP with optional deviation bands (VWAP Deviation Zones) that reflect institutional fair-value areas — places where price often reacts, pauses, or mean-reverts.
The VWAP line shifts color based on price positioning.
3. Quantum ATR Engine — Multi-Layer Volatility Sync
A proprietary multi-ATR engine detects when volatility signals align in one direction across multiple sensitivities.
Arrows appear only on full directional agreement, signaling high-conviction flow moments.
4. Session Visualization + Arrow Filtering
Background shading highlights key trading sessions (Asia, London, USA).
You can optionally disable arrow signals during specific sessions for a cleaner view.
Features & Alerts
- Toggle EMA Clouds, VWAP, Deviation Zones, and ATR Arrows independently.
- Customize all colors, transparencies, and visual styles.
- Built-in alerts for bullish and bearish arrow signals.
Compatibility
Works on all assets: Forex, Crypto, Stocks, Indices, Futures.
Fully adaptive across all timeframes — intraday to swing.
No optimization needed — smart parameters adjust automatically.
Strategy Alignment Tip
QuantumFlowTrader V1 adapts to any trading strategy and acts as a directional compass for market flow.
It becomes especially powerful when combining multiple timeframes — for example, using the 1H and 15M charts to define trend alignment, and then executing entries on lower timeframes in the direction of that flow.
Note: Entry setups are defined by each trader’s individual system.
This indicator does not provide entry points — it highlights multi-timeframe alignment and directional bias.
To request access, contact via TradingView profile.
Powell's Brain Mk.4.4 [Scalper Edition]Title: Powell's Brain Mk.4.4
Description
Powell's Brain is a mechanical scalping system designed for volatile assets (like SPY, QQQ, NVDA, and TSLA) on 1-minute and 5-minute timeframes.
Unlike standard indicators that spam signals at every crossover, this script uses a "Subtractive" Philosophy. It starts with a trend crossover signal and then runs it through a squad of 6 distinct filters. If any filter detects low probability (chop, low volume, weak momentum), the trade is blocked.
This is the Scalper Edition, tuned to catch V-Shape reversals while still protecting capital during sideways chop.
🧠 How It Works
The system relies on the confluence of four market forces: Momentum, Energy, Trend Strength, and AI Confirmation.
1. The Core Strategy (The Engine)
Dual EMA Crossover: Uses a Fast (9) and Slow (50) EMA to identify immediate trend changes.
Slope Detection: A trade is only considered if the EMAs are separating with sufficient velocity (0.04% slope threshold). This prevents trading when lines are flat/tangled.
2. The "No" Squad (Filters)
A signal is rejected unless it passes these checks:
Volume Gate: Volume must be at least 80% (0.8x) of the 20-period average. This filters out pre-market noise or lunch-hour apathy.
ADX Shield: The Average Directional Index must be > 20. If ADX is lower, the market is chopping, and the script forces you to sit on your hands.
Time-of-Day: By default, it targets "Prime Hours" (09:30–11:00 & 14:00–16:00 EST) to avoid the "lunchtime trap."
Cooldown: Enforces a 3-bar wait period between signals to prevent signal flickering in high-volatility zones.
3. The AI Engine (k-NN Machine Learning)
Included is a k-Nearest Neighbors (k-NN) implementation that analyzes historical RSI and Relative Volume patterns.
It compares the current market state to the last ~1,000 bars.
It calculates a "Confidence %" based on how often similar past setups resulted in a bullish or bearish move.
AI Gating: You can enable a "Strict Mode" in settings where the script will block any trade that the AI does not agree with (Confidence < 55%).
4. The Squeeze Filter (TTM Logic)
An optional filter allows you to trade only on volatility expansion (Bollinger Bands exiting Keltner Channels). This is disabled by default to allow for standard trend scalping but can be enabled for breakout hunting.
🚦 How to Use
The Signals:
Green "CALL" Label: Bullish Momentum + Volume + Trend Strength.
Red "PUT" Label: Bearish Momentum + Volume + Breakdown.
The HUD (Heads-Up Display):
Monitor the top-right panel for Market Flow, Squeeze Status, and AI Confidence.
If the AI text is Orange ("INITIALIZING"), wait for more data to load.
The Debugger:
If you see a crossover but NO signal, turn on "Show Debug Labels" in settings.
The chart will print exactly why the trade was skipped (e.g., Vol❌ means volume was too low, Slope❌ means the trend was too flat).
⚙️ Settings Guide
Strategy Core: Adjust Min EMA Separation to tune sensitivity. Higher = Fewer, safer trades. Lower = Faster entries.
Filters:
Trade with 200 EMA Trend: Keep OFF for scalping reversals. Turn ON for strict trend following.
Gate Entries with AI: Turn ON if you want the Machine Learning engine to veto low-confidence setups.
Visuals: Toggle Dark/Light themes to match your chart.
Disclaimer
This script is a tool for identifying high-probability setups based on historical data and technical analysis. It does not guarantee future performance. Always use proper risk management (Stop Losses are included in the logic visuals). In less words DON'T BE AN IDIOT.
By FallenAngel666
Jenkins OscillatorAn oscillator designed to capture price movement relative to recent intra-candle volatility. Z-score normalization is applied to smoothed price and therefore should be read in terms of standard deviation AND direction.
MNQ Momentum Suite – Intraday Confluence Dashboard (1-5M)MNQ Momentum Suite is a multi-factor intraday momentum dashboard designed primarily for MNQ / NQ on the 1M–5M timeframes during the New York session.
Instead of staring at 3–4 separate indicators, this script combines them into one clean pane
DMI / ADX → who’s in control (+DI vs –DI) and how strong the move is
Momentum MA Slope (T3 or EMA) → directional bias and trend quality
Squeeze Logic (BB vs Keltner) → volatility compression & expansion zones
Composite Momentum Score (–4 to +4) → single number capturing total confluence
Color-coded Dashboard Table → instant Bull / Bear / Flat status for each component
Core Components
1️⃣ Composite Momentum (Main Histogram)
Score range : –4 to +4
Built from 4 building blocks :
DMI direction (Bull/Bear)
ADX strength above threshold
MA slope direction (up/down)
Squeeze direction (after it fires)
Interpretation:
+3 / +4 → strong bullish confluence
+1 / +2 → mild bullish bias
0 → mixed / no edge
–1 / –2 → mild bearish bias
–3 / –4 → strong bearish confluence
2️⃣ DMI / ADX Block
Uses ta.dmi() under the hood.
DI spread histogram (teal/orange) shows which side is in control.
White ADX line measures trend strength – higher = cleaner moves, low = chop.
3️⃣ Momentum MA Slope (T3 / EMA)
User can choose T3 or EMA for the slope engine.
Slope histogram color:
Aqua → MA sloping up (bull-friendly)
Fuchsia → MA sloping down (bear-friendly)
4️⃣ Squeeze (BB vs Keltner)
Yellow dots mark when Bollinger Bands are inside Keltner Channels (volatility squeeze).
When the squeeze releases and price closes on one side of both BB basis and Keltner basis, the script flags a bullish or bearish squeeze fire that feeds the composite score.
Dashboard Table (Top-Right) : The table gives a fast, text-based read of the environment:
DMI Dir – Bull / Bear / Flat
ADX – Numeric trend strength
Slope – Up / Down / Flat based on chosen MA
Squeeze – Building / Fired Up / Fired Down / Idle
Row text is color-coded:
Green when that metric is bull-friendly
Red when it is bear-friendly
Gray/white when neutral
This makes it very easy to glance at the table and see if the environment is mostly green (long-friendly) or mostly red (short-friendly).
Session & Histogram Controls
Use NY Session Filter?
When enabled, all logic is focused on the defined NY session (default 09:30–16:00 exchange time).
how Histograms Only in NY Session?
true → plots only during the NY session (good for live trading focus).
false → plots on all bars, including overnight, so you can study past days and pre-/post-market behavior.
Alerts
Two built-in alert conditions are provided:
Strong Bull Momentum – Composite ≥ 3 during the session.
Strong Bear Momentum – Composite ≤ –3 during the session.
Use these as “heads-up” momentum pings, then confirm with your own price-action, VWAP, HTF levels, and liquidity zones.
Recommended Use
Primary instruments: MNQ / NQ futures, but it can be applied to any intraday symbol.
Primary timeframes: 1M to 5M.
Designed as a confluence and filter tool, not a stand-alone entry system.
Works especially well combined with:
VWAP
10 EMA
Pre-NY and RTH highs/lows
FVG/IFVG and liquidity zones
As with any tool, this is not financial advice and does not guarantee results. Always combine with risk management and your own playbook.
RSI/VIX Reversal Signal (StevenCharts) [BETA]The RSI/VIX Reversal Signal (StevenCharts) is a specialized mean-reversion indicator that combines technical momentum (RSI) with market sentiment data (VIX).
While standard RSI strategies often fail by catching "falling knives" during strong trends, this indicator filters setups by requiring a specific volatility environment. It identifies moments of extreme fear (High VIX + Oversold RSI) or extreme complacency (Low VIX + Overbought RSI) to pinpoint high-probability reversal zones.
How It Works
This script operates on a two-step confirmation logic to prevent premature entries:
The Trigger (Blue Dot): The indicator first identifies an extreme condition.
Potential Buy: Price is Oversold while Volatility is elevated. This indicates panic selling.
Potential Sell: Price is Overbought while Volatility is suppressed. This indicates market complacency.
The Signal (Triangle Label): Once a trigger is detected, the script waits for Price Action Confirmation.
It will not print a Green Buy Label until a green candle actually closes.
It will not print a Red Sell Label until a red candle actually closes.
Key Features
Dual-Factor Analysis: Filters out weak RSI signals by demanding VIX confirmation.
Stateful Logic: Remembers if a trigger condition was met and patiently waits for the reversal candle before signaling.
Timeframe Noise Filter: Includes a built-in setting to automatically hide signals on lower timeframes to focus on macro reversals.
Data Table: An optional dashboard that displays real-time VIX values, RSI values, and Overbought/Oversold status directly on your chart.
How to Use
Buying the Fear: Look for the Green Triangle. This signals that panic selling has likely exhausted itself and buyers are stepping back in.
Selling the Greed: Look for the Red Triangle. This signals that the market is overextended and volatility is too low to sustain the move.
Blue Dots: Treat these as "Warning Shots." They tell you a setup is building, but the reversal hasn't confirmed yet.
CapitalFlowsResearch: Returns Regime MapCapitalFlowsResearch: Returns Regime Map — Two-Asset Behaviour & Correlation Lens
CapitalFlowsResearch: Returns Regime Map is a two-asset regime overlay that shows how a primary market and a linked macro series are really moving together over short rolling windows. Instead of just eyeballing two separate charts, the tool classifies each bar into one of four states based on the combined direction of recent returns:
Up / Up
Up / Down
Down / Up
Down / Down
These states are calculated from aggregated, windowed returns (using configurable return definitions for each asset), then painted directly onto the price chart as background regimes. On top of that, the indicator monitors the correlation of the same return streams and can optionally tint periods where correlation sits within a user-defined “low-correlation” band—highlighting moments when the usual relationship between the two series is weak, unstable, or breaking down.
In practice, this turns the chart into a compact co-movement map: you can see at a glance whether price and rates (or any two chosen markets) are trending together, diverging in a meaningful way, or moving in choppy, low-conviction fashion. It’s especially powerful for macro traders who need to frame trades in terms of “risk asset vs. rates,” “index vs. volatility,” or similar pairs—while keeping the actual construction details of the regime logic abstracted.
A.I. 👑 Market Cipher EZ🚀 A.I. Market Cipher EZ – “Rubik’s Algo” 2025 Edition
by StupidBitcoin | Built with love & Grok’s help
Imagine a Rubik’s Cube that solves itself while the market moves — every twist and turn instantly reflected in color.
That’s exactly what this indicator does.
Two animated Rubik’s Cubes (Figure 1 & Figure 2) symbolize the dual-layer intelligence inside:
- The outer cube = Supply / Demand / Bull vs Bear forces
- The inner cube = Price / Volume / Trend (xTrend) constantly rotating to find equilibrium
The result? A living, breathing, self-adapting color language that removes noise, bias, and lag — turning complex market physics into simple visual signals even a beginner can trade confidently.
Core Engine (all running live):
• Multi-stage Kalman Filters (standard / volume-adjusted / Parkinson volatility modes)
• k-Nearest-Neighbour (k-NN) machine-learning clustering
• Dynamic VSQC scaling (the “fast Rubik”) + ultra-smooth slow Rubik
• Zero-lag Gaussian + Chebyshev filtering
• AI-driven Stochastic Money Flow % oscillator (3 % – 120 % range)
• Volume imbalance “Vector Recovery Zones” & momentum “Bounce Boxes”
• Real-time color gradients (Classic red/green or Crypto teal/purple themes)
What you actually see on the chart:
- Fast & Slow dynamic trend lines (the “speed lanes”) painted in intelligent gradients
- Stochastic Money Flow % label on every bar (green < 31 % = oversold rocket fuel | red > 69 % red = overbought rejection)
- Bollinger Width % label (optional)
- Vector Recovery Boxes (volume magnets)
- Bull/Bear Bounce Boxes (support & resistance with wick pressure)
- Market-structure squares below bars (green = bullish structure, red = bearish, yellow = neutral)
- Kalman Target marker on current bar (reduces fakeouts)
Top confirmed setups (3:1+ RR):
Longs → Green % label (< 31 %) + price on fast green line + green recovery/bounce box
Shorts → Red % label (> 69 %) + price on slow red line + red recovery/bounce box
Breakouts → Green % + fast line breakout + green structure squares
Breakdowns → Red % + slow line breakdown + red structure squares
All inputs are carefully preset with the developer’s recommended values (lookback 9 / max length 188 / accelerator 4.4 / k = 63) — just load and trade. Tweak only if you really know what you’re doing.
Disclaimer
For educational purposes only. Not financial advice. Use at your own risk. Past performance ≠ future results.
License
Released under CC BY-NC-SA 4.0 + Mozilla Public License 2.0 – free to use, study, modify and share non-commercially with attribution.
Enjoy the colors. May your trends be strong and your drawdowns short.
© 2025 Rubik’s Algo – All Rights Reserved
HSQC 👑 Hybrid SQ [RubiXalgo]HSQC 👑 Hybrid SQ — Next-Gen Institutional Order Flow & Quantum Momentum Engine
by Jesse_Geluk | RubiXalgo Research © 2024–2025
The most advanced hybrid Squeeze Momentum system ever released on TradingView.
This is not just another Squeeze indicator — it is a complete multi-dimensional trading framework that fuses:
• State-of-the-art Adaptive Kalman Filters (5 selectable periods + custom Dynamic Volume/Volatility models)
• Institutional-grade Supply/Demand Vector Zones with real-time quantum cloud clustering
• InterBank Support & Resistance levels (smart money accumulation/distribution zones)
• Breakout Candle recognition engine (28 proprietary bullish & bearish patterns)
• Dynamic VSQC (Vector-Scaled Quantum Channel) with auto-scaling lookback
• Kalman Speed Lines & Price Average for ultra-clean trend filtering
• Hidden Vector Trailing Stop system (can be toggled on/off)
• Full session box overlay with smart color-coded momentum clouds
Key Features:
✅ True overlay indicator (draws directly on price)
✅ Works on all timeframes & all markets (Forex, Crypto, Stocks, Futures)
✅ Zero repaint — 100% deterministic calculations
✅ Highly customizable — 40+ inputs grouped logically
✅ Visual ASCII art concept of the famous “Rubik’s Cube inside Rubik’s Cube” representing the interplay of PRICE × VOLUME × TREND × xTREND
✅ Professional-grade code under MPL 2.0 (open source, fully auditable)
What you’re seeing is the result of 4+ years of private institutional research now made public.
Whether you trade scalping, swing, or position — HSQC gives you the same edge that smart money algorithms use: adaptive noise filtering, real-time order-flow clustering, and predictive momentum vectors.
Turn on only what you need — from minimalistic clean charts with just the 50 & 200 Kalman to full “god mode” with quantum clouds, breakout candles, and vector zones.
Welcome to the future of technical analysis.
© Jesse_Geluk — RubiXalgo Research Division
Mozilla Public License 2.0 | Fully open-source & community driven
CapitalFlowResearch: N-ATRCapitalFlowsResearch: N-ATR — Normalised Volatility Regime Indicator
CapitalFlowsResearch: N-ATR transforms ATR into a normalised, directional volatility signal that oscillates within a fixed range. Instead of treating ATR as an absolute number—which varies widely across assets and market regimes—the tool rescales volatility into a consistent framework, allowing traders to compare conditions across instruments and timeframes without recalibrating settings.
The indicator identifies two core attributes simultaneously:
Volatility level relative to its recent environment
By normalising ATR, the script shows whether current volatility is high or low relative to its own historical context, not in arbitrary terms.
The direction of volatility pressure
A smoothing layer helps determine whether volatility is rising or falling, enabling a four-state volatility map (high → rising, high → falling, low → rising, low → falling).
These states are displayed via subtle background shading, giving a clear view of shifts in volatility regime without cluttering the chart.
A color-coded line plots the smoothed volatility signal itself, making transitions easy to spot and track over time.
Together, these features turn N-ATR into an effective volatility-regime compass—highlighting periods of compression, expansion, and volatility trend changes that often precede important market behaviour—while preserving the confidentiality of the underlying calculations.
CapitalFlowsResearch: Vol RangesCapitalFlowsResearch: Vol Ranges — Multi-Timeframe ATR Expansion Map
CapitalFlowsResearch: Vol Ranges creates a structured volatility “roadmap” by projecting expected price extensions across multiple timeframes using ATR-based ranges. Instead of relying on a single ATR reading, the tool pulls in higher-timeframe volatility measures—such as daily and monthly expansions—and uses them to build a set of reference levels that anchor the current market against where it should trade under normal volatility conditions.
The script does two things simultaneously:
Projects volatility-derived target bands
It computes a set of upper and lower expansion levels (e.g., +100%, +50%, –50%, –100%) around prior closing levels on different timeframes. These levels act as structural markers for expected movement, allowing traders to quickly recognise when price is behaving within typical bounds or pressing into statistically stretched territory.
Displays a live dashboard for interpretation
A fully configurable on-chart table displays:
Recent volatility readings
Today's reference ranges
Distance from current price to each expansion level
Whether today's movement is expanding or contracting relative to prior volatility
This gives traders a compact situational summary without cluttering the price chart.
Optional high-timeframe projection lines can also be plotted directly on the chart, updating once per new day or new month, making it easy to visually align intraday price action with broader volatility structure.
In practical terms, Vol Ranges functions as a multi-timeframe volatility compass—highlighting when markets are trading inside normal ranges, when they are beginning to stretch, and when they may be entering conditions supportive of momentum or reversal behaviour. All core mechanics remain abstracted, preserving the proprietary nature of the volatility framework.
A.I. 👑 Optimus Prime [RubiXalgo]**A.I. Optimus Prime – The Ultimate Color-Coded AI Trading Indicator**
No equations. No guesswork. Just traffic lights for trading.
🔥 Green = BUY / Long
🔥 Red = SELL / Short
🔥 Yellow = Wait & Watch
Powered by real AI & Machine Learning (Kalman Filters + LOWESS + k-NN + adaptive coloring), this indicator turns complex price & volume data into an instantly readable visual system that works on any market and any timeframe.
### What You Get on Your Chart
- Fast & Slow AI Trend Lines (green = uptrend, red = downtrend)
- Liquidation Window™ – exact stop-loss (red), entry, and 3 take-profit levels (circle → diamond → star)
- Volume Profit-Trend Line – curved AI prediction of next price move
- Dynamic Volume Profile Channel – shows real high-volume support/resistance zones
- Multi-Timeframe Average Lines + Trend Direction Table
- Gradient Candle Coloring + Big Target Dot on last bar
- Speed-Lane fill between fast/slow lines
- Everything fully customizable & toggleable
### Top High-Probability Setups Built In (3:1+ RR)
Longs:
1. Bullish Liquidation Bounce
2. Green Trend Breakout
3. Volume Support Surge
Shorts:
1. Bearish Liquidation Drop
2. Red Trend Breakdown
3. Volume Resistance Fade
Just wait for the colors to align and execute – the indicator does the thinking for you.
### Why Traders Are Switching to A.I. Optimus Prime
✅ 100% visual – perfect for beginners (“green = buy”)
✅ Deadly accurate in expert hands (confluence of trend + volume + liquidation zones)
✅ Adapts automatically to current market volatility
✅ Saves accounts with precise stop-loss & target zones
✅ One indicator replaces 10+ traditional tools
Green window + green volume trend + green fast line = LONG
Red window + red volume trend + red fast line = SHORT
UM VIX30/VIX Regime & Volatility Roll Yield
SUMMARY
A front-of-the-curve volatility indicator that compares spot VIX to a synthetic 30-day VIX (VIX30) built from VX1/VX2 futures, revealing early volatility pressure, regime shifts, and roll-yield transitions. Ideal for timing long/short volatility trades in VXX, UVXY, SVIX, and VIX futures.
DESCRIPTION
This indicator compares spot VIX to a synthetic 30-day constant-maturity volatility estimate (“VIX30”) built from VX1 and VX2 futures. The VIX30/VIX Ratio reveals short-term volatility pressure and regime shifts that traditional VX1/VX2 roll-yield alone often misses.
VIX30 is constructed using true calendar-day interpolation between VX1 and VX2, with VX1% and VX2% showing the real-time weights behind the 30-day volatility anchor. The table displays the volatility regime, the VX1/VX2 weights, spot-term roll yield (VIX30/VIX), and futures-term roll yield (VX2/VX1), giving a complete, front-of-the-curve perspective on volatility dynamics.
Use this to spot early volatility expansions, collapsing contango, and regime transitions that influence VXX, UVXY, SVIX, VX options, and VIX futures.
HOW IT WORKS
The script calculates the exact calendar days to expiration for the front two VIX futures. It then applies linear interpolation to blend VX1 and VX2 into a 30-day constant-maturity synthetic volatility measure (“VIX30”). Comparing VIX30 to spot VIX produces the VIX30/VIX Ratio, which highlights short-term volatility pressure and regime direction. A full term-structure table summarizes regime, VX1%/VX2% weights, and both spot-term and futures-term roll yields.
DEFAULT SETTINGS
VX1! and VX2! are used by default for front-month and second-month futures. These may be manually overridden if TradingView rolls contracts early. The default timeframe is 30 minutes, and the VIX30/VIX Ratio uses a 21-period EMA for regime smoothing. The historical threshold is set to 1.08, reflecting the long-run average relationship between VIX30 and VIX.
SUGGESTED USES
• Identify early volatility expansions before they appear in VX1/VX2 roll yield.
• Confirm contango/backwardation shifts with front-of-curve context.
• Time long/short volatility trades in VXX, UVXY, SVIX, and VX options.
• Monitor regime transitions (Low → Cautionary → High) to anticipate trend inflections.
• Combine with price action, Nadaraya-Watson trends, or MA color-flip systems for higher-confidence entries.
• MA red → green flips may signal opportunities to short volatility or increase equity exposure.
• MA green → red flips may signal opportunities to go long volatility, reduce equity exposure, or take short-equity positions.
ALERTS
Alerts trigger when the ratio crosses above or below the historical threshold or when the moving-average slope flips direction. A green flip signals rising volatility pressure; a red flip signals fading or collapsing volatility. These alert conditions can be used to automate long/short volatility bias shifts or trade-entry notifications.
FURTHER HINTS
• Increasing orange/red in the table suggests an emerging higher-volatility environment.
• SVIX (inverse volatility ETF) can trend strongly when volatility decays; on a 6-hour chart, MA green flips often align with attractive short-volatility opportunities.
• For long-volatility trades, consider shrinking to a 30-minute chart and watching for MA green → red flips as early entry cues.
• Experiment with different timeframes and smoothing lengths to match your trading style.
• Higher VIX30/VIX and VX2/VX1 roll yields generally imply faster decay in VXX, UVXY, and UVIX — or stronger upside momentum in SVIX.
• The author likes the 6-hour chart for short vol, and the 30-minute chart for long vol. Long vol trades are fast and furious so you want to be quick.
SigmaFrame-FESXSigmaFrame is a volatility-weighted standard deviation engine designed to generate dynamic intraday pivot levels which expand during volatility spikes and tighten during compression, giving traders a consistent structural map across trending and rotational environments.
Institutional VWAP Suite (Lite Compatible)The **Institutional VWAP Suite (Lite Compatible)** brings true institutional volume-weighted price analysis to every trader — even on TradingView Lite/Free accounts where standard VWAP tools are restricted.
This script recreates the most important VWAP models used by banks, funds, and high-frequency desks, including:
• **Daily VWAP** (exchange-accurate)
• **Weekly VWAP** (manually accumulated)
• **Monthly VWAP** (manually accumulated)
• **Rolling Window VWAP** (array-based, fully Lite-compatible)
All calculations avoid blocked functions like `ta.sum` or session-restricted VWAP calls. Everything is built manually from volume and price to ensure accuracy across all accounts and all markets.
### Features
• Multi-timeframe VWAPs (Daily/Weekly/Monthly)
• Manual Rolling VWAP with adjustable length
• Optional VWAP bands (Lite-safe)
• Clean visuals with color-coded levels
• Optimized arrays for fast, stable performance
• Free-tier compatible — no premium functions required
This tool is designed for traders who want institutional structure, premium-level VWAP calculations, and consistent execution regardless of plan level. Perfect for scalpers, day traders, futures traders, and anyone who uses intraday volume profiles.
### Recommended Use
• Map directional bias using Daily vs Weekly VWAP
• Use Monthly VWAP for macro trend context
• Track intraday mean reversion with Rolling VWAP
• Use VWAP bands as dynamic support/resistance zones
A simple, powerful, no-restrictions VWAP engine — built for everyone.
Open Interest Delta AggregateOpen Interest Delta - By Randy (Multi-Exchange Version)This Pine Script indicator calculates and displays the daily change (delta) in total Open Interest across multiple major perpetual futures exchanges.Key Features:Aggregates Open Interest from Binance, OKX, ByBit, Bitget, HTX, and the current chart’s exchange (if any).
You toggle each exchange on/off individually — it automatically sums all active sources.
Plots OI Delta as histogram columns (Type 1 = combined, Type 2 = separate positive/negative).
Uses dynamic thresholds based on standard deviation of positive/negative OI delta EMA to classify changes as:Normal (yellow)
Medium (orange)
Large (red)
Extreme (purple)
Optionally colors price candles when OI delta crosses these significant thresholds (great for spotting big money moves).
Works best on daily timeframe (automatically switches to daily OI data even if you're viewing lower timeframes).
In Simple Terms:It shows you when huge amounts of new positions (long or short) are being opened across the biggest crypto futures exchanges — a powerful signal of institutional/smart money activity and potential trend strength or reversals. The more exchanges light up with extreme OI delta, the stronger the conviction behind the move.
Hierarchical Hidden Markov Model - Probability Cone
The Hierarchical Hidden Markov Model - Probability Cone Indicator employs Hierarchical Hidden Markov Models for forecasting future price movements in financial markets. HHMMs are statistical tools that predict transitions between hidden states, such as different market regimes, based on observed data. This makes them valuable for understanding market behaviours and projecting future price trajectories. As discussed in the Hierarchical Hidden Markov Model indicator, HHMMs predict future states and their associated outputs based on the current state and model parameters. This tool is fundamentally very similar to the traditional HMM . The application of the HHMM for generating a probability cone forecast is therefore also fundamentally the same between HMM and HHMM. Despite their significant similarity I will go through the same fundamental examples of how probability cone is generated for the HHMM as I did for the HMM probability cone .
As you might know by now the probability cone indicator uses the knowledge about the current identified "state" or "regime" and with the help of transition probabilities, emission probabilities and initial probabilities generate a probabilistic forecast of the expected future price movements. To better understand the behind the Probability Cone we encourage you to use and learn about our free version of the Probability Cone as well as for even deeper understanding the Probability Cone Pro.
WHAT ARE REGIME DEPENDENT FORECASTS
We established that the indicator creates probabilistic forecasts of future price movements dependent on the current identified "state" or market "regime" via the Hidden Markov Model. In the image below we can see an example.
In this example we can see 4 different probability cones forecasting a 70% and 90% probability range (15% and 5% quantiles respectively). What you may notice is that the 4 probability cones look vastly different, despite using the same probability ranges as well as being generated from the same model trained on virtually the same data. What allows for this difference in the forecast, is conditioning the forecast on the current most likely identified state by the HHMM.
The first most cone is generating a forecast taking into account that the model identified the current market condition to be a extremely low in volatility this is a characteristic of the state identified by the light green coloured posterior probability. The second cone is significantly wider as well as has a negative drift, this is the case because that state identified by the red posterior probability is characterised by the most extreme volatility along with significant negative returns. The cone after that remains quite wide however is again associated with positive returns, this is characteristic of the state that the model identified via a high yelow coloured posterior probability. The last probability cone is again generated from a state that is characterised by quite low volatility albeit not the lowest. We can also see the state associated with that behaviour is identified by the high dark green posterior probability which is the highest at that time.
NOTE! Those are within sample forecasts, you can find more information on the difference between within sample model fit and out of sample prediction in the HHMM indicator description
This indicator also allows you to specify whether you wish to display probability based labels at the edges of the cone or whether you would prefer to display percent change based labels. With percent change labels you get the exact percentage value of the probabilistic increase or decrease of the price. See the example below
BARS BACK OFFSET vs DATE BASED OFFSET
The cones position can be offset by specifying the number of bars we wish to move it back similarly as with the rest of probability cone indicators. This indicator has however an additional, date based offset implemented. A user can therefore specify the position of the cone by specifying a date in the settings. The advantage of using the date based offset is that once it is turned on the user can also slide the cone up and down the chart with their mouse without having to manually adjust the date in the settings.
DIFFICULTIES WITH GENERATING FORECASTS (advanced):
The estimation of the probability cone, gets more difficult the more complex the model gets. A simple normal distribution probability cone can scale the distribution over time by simply multiplying the drift by the number of time steps and the volatility by the square root of time steps we wish to forecast for. More complex distributions often have to rely on mode advanced methods like convolutions, monte carlo or other kinds of approximations.
To estimate the probability cone forecast for the Hierarchial Hidden Markov Model, the indicator integrates two primary methodologies: Gaussian approximation and importance sampling. The Gaussian approximation is utilised for estimating the central 90% of future prices. This method provides a quick and efficient estimation within this central range, capturing the most likely price movements. The gaussian approximation will result in a forecast with an equal mean and variance as the true forecast, it will however not accurately reflect higher moments like skewness and kurtosis. For that reason the tail quantiles, which represent extreme price movements beyond the central range (90%), are estimated via importance sampling. This approach ensures a more accurate estimation of the skewness and kurtosis associated with extreme scenarios. While importance sampling leverages the flexibility of Monte Carlo as well as attempts to increase its efficiency by sampling from more precise areas of the distribution, the importance sampling may still underestimate most extreme quantiles associated with the lowest probabilities which is an inherent limitation of the indicator.
Example of gaussian approximation cone for probabilities above 5% (90% range):
Example of importance sampling cone for tail probabilities lower than 5% (beyond 90% range):
WARNING!
As per usual understand that the probabilities are estimations and best guesses based on the historical data and the patterns identified by the model and do not represent the true probability which is unknown in reality.
Settings:
- Source: Data source used for the model
- Forecast Period: Number of bars ahead for generating forecasts.
- Simulation Number: Number of Monte Carlo simulations to run in the case of importance sampling
-Body Probability: Specifies the inner range of the probability cone. The probability specifies the ammount of observations that are expected to fall outside of this range
- Tail Probability: Specifies the outter range of the probability cone. When this probability is under 5%, importance sampling will turn on
- Lock Cone: When ticked on, the cone will be locked at its current position.
- Offset Cone Based on Date: When ticked on, the position of the cone will be determined by the selected date.
- Offset: When "Offset Cone Based on Date" is turned off, you can use offset setting to specify the position of the cone projection.
- Date: When "Offset Cone Based on Date" is turned on, you can use the date setting to specify the date from which the forecast starts.
- Reestimate Model Every N Bars: This is especially useful if you wish to use the indicator on lower timeframes where model estimation might take longer than for the new datapoint to arrive. In that case you can specify after how many bars the model should be reestimated.
- Training Period: Length of historical data used to train the HMM.
- Expectation Maximization Iterations: Number of iterations for the EM algorithm.
- Cone Colors: Customizable colors for the probability cone, when approximation is on and when importance sampling is on
Hidden Markov Model - Probability Cone
The Hidden Markov Model - Probability Cone Indicator employs Hidden Markov Models (HMMs) for forecasting future price movements in financial markets. HMMs are statistical tools that predict transitions between hidden states, such as different market regimes, based on observed data. This makes them valuable for understanding market behaviours and projecting future price trajectories. As discussed in the Hidden Markov Model indicator, HMMs predict future states and their associated outputs based on the current state and model parameters.
The probability cone indicator therefore uses the knowledge about the current identified "state" or "regime" and with the help of transition probabilities, emission probabilities and initial probabilities generate a probabilistic forecast of the expected future price movements. To better understand the behind the Probability Cone we encourage you to use and learn about our free version of the Probability Cone as well as for even deeper understanding the Probability Cone Pro.
WHAT ARE REGIME DEPENDENT FORECASTS
As mentioned above the indicator creates probabilistic forecasts of future price movements dependent on the current identified "state" or market "regime" via the Hidden Markov Model. In the image below we can see an example.
In this example we can see 3 different probability cones forecasting a 70% and 90% probability range (15% and 5% quantiles respectively). What you may notice is that the 3 probability cones look vastly different, despite using the same probability ranges as well as being generated from the same model trained on virtually the same data. What allows for this difference in the forecast is conditioning the forecast on the current most likely identified state by the HMM.
The first most wide cone is generating a forecast taking into account that the model identified the current market condition to be a very volatile which is a characteristic of the state identified by the orange coloured posterior probability. The second cone is significantly more narrow as that state identified by the purple posterior probability is characterised by lower volatility. Nevertheless, the last probability cone is generated from the state that is characterised by the lowest volatility, we can also see the light blue posterior probability to be the highest at that time.
The indicator also allows you to specify whether you wish to display probability based labels at the edges of the cone or whether you would prefer to display percent change based labels. With percent change labels you get the exact percentage value of the probabilistic increase or decrease of the price. See the example below
BARS BACK OFFSET vs DATE BASED OFFSET
The cones position can be offset by specifying the number of bars we wish to move it back similarly as with the rest of probability cone indicators. This indicator has however an additional, date based offset implemented. A user can therefore specify the position of the cone by specifying a date in the settings. The advantage of using the date based offset is that once it is turned on the user can also slide the cone up and down the chart with their mouse without having to manually adjust the date in the settings.
DIFFICULTIES WITH GENERATING FORECASTS (advanced):
The estimation of the probability cone, gets more difficult the more complex the model gets. A simple normal distribution probability cone can scale the distribution over time by simply multiplying the drift by the number of time steps and the volatility by the square root of time steps we wish to forecast for. More complex distributions often have to rely on mode advanced methods like convolutions, monte carlo or other kinds of approximations.
To estimate the probability cone forecast for the Hidden Markov Model, the indicator integrates two primary methodologies: Gaussian approximation and importance sampling. The Gaussian approximation is utilized for estimating the central 90% of future prices. This method provides a quick and efficient estimation within this central range, capturing the most likely price movements. The gaussian approximation will result in a forecast with an equal mean and variance as the true forecast, it will however not accurately reflect higher moments like skewness and kurtosis. For that reason the tail quantiles, which represent extreme price movements beyond the central range (90%), are estimated via importance sampling. This approach ensures a more accurate estimation of the skewness and kurtosis associated with extreme scenarios. While impoortance sampling leverages the flexibility of monte carlo as well as attempts to increase its efficiency by sampling from more precise areas of the distribution, the importance sampling may still underestimate most extreme quantiles associated with the lowest probabilties which is an inherent limitation of the indicator.
Example of gaussian approximation cone for probabilities above 5% (90% range):
Example of importance sampling cone for tail probabilities lower than 5% (beyond 90% range):
WARNING!
As per usual understand that the probabilities are estimations and best guesses based on the historical data and the patterns identified by the model and do not represent the true probability which is unknown in reality.
Settings:
- Source: Data source used for the model
- Forecast Period: Number of bars ahead for generating forecasts.
- Simulation Number: Number of Monte Carlo simulations to run in the case of importance sampling
-Body Probability: Specifies the inner range of the probability cone. The probability specifies the ammount of observations that are expected to fall outside of this range
- Tail Probability: Specifies the outter range of the probability cone. When this probability is under 5%, importance sampling will turn on
- Lock Cone: When ticked on, the cone will be locked at its current position.
- Offset Cone Based on Date: When ticked on, the position of the cone will be determined by the selected date.
- Offset: When "Offset Cone Based on Date" is turned off, you can use offset setting to specify the position of the cone projection.
- Date: When "Offset Cone Based on Date" is turned on, you can use the date setting to specify the date from which the forecast starts.
- Reestimate Model Every N Bars: This is especially useful if you wish to use the indicator on lower timeframes where model estimation might take longer than for the new datapoint to arrive. In that case you can specify after how many bars the model should be reestimated.
- Training Period: Length of historical data used to train the HMM.
- Expectation Maximization Iterations: Number of iterations for the EM algorithm.
- Cone Colors: Customizable colors for the probability cone, when approximation is on and when importance sampling is on
ARCH ProxyARCH Proxy (ARCH) - Volatility Assessment Indicator
The ARCH Proxy indicator (short title: ARCH) is a dynamic, multi-factor volatility assessment tool designed to help traders quickly gauge the current energy and risk level of the market. It plots a real-time measure of price fluctuation against its long-term historical average and adaptive High/Low Volatility thresholds. This provides a clear, objective framework for distinguishing between periods of market compression (low-energy consolidation) and expansion (high-risk volatility), optimizing strategy selection and risk management.
Simplified Trading Guide
The ARCH indicator offers a clear, objective signal framework to guide your trading decisions based on market energy :
Spotting High-Risk Expansion (Climax):
Signal: The main ARCH Proxy line moves sharply above the High Volatility Threshold (typically a red line).
Action: This signals the market is in a period of intense, climactic price action. This is often a time to avoid new entries, reduce exposure, or look for potential trend exhaustion and reversals due to the high risk of a sudden correction.
Identifying Low-Energy Compression (Setup):
Signal: The main ARCH Proxy line trends consistently below the Low Volatility Threshold (typically a green line).
Action: This indicates a market consolidation phase. This "low-energy" compression frequently precedes a strong breakout (expansion). Traders should prepare for an entry in the direction of the dominant trend, anticipating a coming surge in momentum.
Normal Trading Conditions:
Signal: The ARCH Proxy line is fluctuating between the High and Low Volatility thresholds.
Action: The market is in a normal state. Use this time to follow the dominant trend with standard risk parameters.
Watermark | Bar Time | Average Daily RangeMulti Info Panel & Watermark
Multi Info Panel & Watermark is a utility indicator that displays several pieces of chart information in a single, customizable panel. It is designed to support intraday and swing analysis by making key data—such as symbol details, date, and average daily range—easy to see at a glance, as well as providing simple tools for notes and backtesting.
Features
Watermark / Custom Note
Optional text overlay that can be used as a watermark or personal note.
Can display a strategy name, reminder, or any other user-defined label on the chart.
Ticker Info
Shows information about the currently active symbol on the chart (for example, symbol name and other basic details depending on the inputs).
Helps keep track of which market or pair is being analyzed, especially when using multiple charts.
Current Date
Displays the current date directly on the chart.
Useful for screenshots, journaling, and documenting analysis.
Average Daily Range (ADR)
Calculates the average daily range of the active symbol over a user-defined number of recent days.
Helps visualize how much price typically moves in a day, which can support position sizing, target setting, or volatility awareness within your own trading approach.
Open Bar Time Marker
Marks the open time of a selected bar (for example, a session open or a specific reference bar).
Primarily intended as a visual aid for manual backtesting and reviewing historical price action.
Usage
Use the watermark and ticker info to keep your charts labeled and organized.
Refer to the ADR readout to understand typical daily volatility of the instrument you are studying.
Use the date and open bar time marker when creating screenshots, trade journals, or when replaying historical sessions for review.
This script does not generate trading signals and does not guarantee any performance or results. It is provided solely as an informational and visualization tool. Always combine it with your own analysis, risk management, and decision-making. Nothing in this indicator or description should be considered financial advice.
Force Pulse█ OVERVIEW
Force Pulse is a fast-reacting oscillator that measures the internal strength of market sides by analyzing the aggregated dominance of bulls and bears based on candle size.
The indicator normalizes this difference into a 0–100 range, generates signals (OB/OS, midline cross, MA midline cross), and detects divergences between price and the oscillator.
It also offers advanced visualization, signal markers, and alerts, making it a versatile tool suitable for many trading styles.
█ CONCEPTS
Force Pulse was designed as a universal tool that can be applied to various trading strategies depending on its settings:
- increasing the period lengths and smoothing transforms it into a momentum/trend indicator, revealing a stable dominance of one market side.
- Lowering these parameters turns it into a peak/low detector, ideal for contrarian and mean-reversion strategies.
The oscillator analyzes the relationship between the sum of bullish and bearish candles over a selected period, based on:
- candle body size, or
- average candle body size (AVG Body).
Depending on the selected mode, OB/OS levels should be adjusted, as value dynamics differ between modes.
The output is normalized to 0–100, where:
> 50 – bullish dominance,
< 50 – bearish dominance.
The additional MA line is derived from smoothed oscillator values and serves as a signal line for midline crosses and as a trend filter.
The indicator also detects divergences (HL/LL) between price and the oscillator.
█ FEATURES
Bull & Bear Strength:
- Calculations are based on Body or AVG Body – mode selection requires adjusting OB/OS levels.
- Bullish and bearish candle values are summed separately.
- All results are normalized to the 0–100 scale.
Force Pulse Oscillator:
- The main line reflects the current dominance of either market side.
Dynamic colors:
- Green – above 50,
- Red – below 50.
Signal MA:
- SMA based on oscillator values functions as a signal line.
- Helps detect momentum shifts and generates signals via midline crosses.
- Can serve as a trend confirmation filter.
Overbought / Oversold:
- Configurable OB/OS levels, also for the MA line.
- Dynamic OB/OS line colors: when the MA line exceeds the defined threshold (e.g., MA > maOverbought or MA < maOversold), OB/OS lines change color (red/green).
- This often signals a potential reversal or correction and may act as additional confirmation for oscillator-generated signals.
Divergences:
- Detection based on swing pivots:
- Bullish: price LL, oscillator HL
- Bearish: price HH, oscillator LH
- Displayed as “Bull” / “Bear” labels.
Signals:
Supports multiple signal types:
- Overbought/Oversold Cross
- Midline Cross
- MA Midline Cross (based on the signal MA line)
- Signals appear as triangles above/below the oscillator.
Visualization:
- Gradient options for lines and levels.
- Full customization of colors, transparency, and line thickness.
Alerts available for:
- Divergences
- OB/OS crossings
- Midline crossings
- MA midline crossings
█ HOW TO USE
Add the indicator to your TradingView chart → Indicators → search “Force Pulse”
Parameter Configuration
Calculation Settings:
- Calculation Period (lookback) – defines the strength calculation window.
Force Mode (Body / AVG Body):
- Body – faster response, higher sensitivity.
- AVG Body – more stable output; adjust band levels and periods to your strategy.
- EMA Smoothing (smoothLen) – reduces oscillator noise.
- MA Length – length of the signal line (SMA).
Threshold Levels:
- Set Overbought/Oversold levels for both the oscillator and the MA line.
- Adjust levels depending on Body / AVG Body mode.
Divergence Detection:
- Enable/disable divergence detection.
- PivotLength affects both delay and signal quality.
- Signal Settings: Choose one or multiple signal types.
- Style & Colors: Full control over color schemes, gradients, and transparency.
Signal Interpretation
BUY:
- Oscillator leaves oversold (OS crossover).
- Midline cross upward.
- MA crosses the midline from below.
- Bullish divergence.
SELL:
- Oscillator leaves overbought (drops below OB).
- Midline cross downward.
- MA crosses the midline from above.
- Bearish divergence.
Trend / Momentum:
-Longer periods and stronger smoothing → stable directional signals.
-MA as a trend filter: e.g., signal line above the midline (50) and MA pointing upward indicates continuation of a bullish impulse.
Contrarian / Mean Reversion:
- Short periods → rapid detection of peaks and troughs; ideal for contrarian signals and pullback entries.
█ APPLICATIONS
- Trend Trading: Using midline and MA midline crosses to determine direction.
- Reversal Trading: OB/OS levels and divergences help identify reversals.
- Scalping & Intraday: Short settings + signal line above the midline with bullish MA → shows short-term impulse and continuation.
- Swing Trading: Longer MA and higher lookback provide a stable view of market-side dominance.
- Momentum Analysis: Force Pulse highlights the strength of the wave before price movement occurs.
█ NOTES
- In strong trends, the oscillator may stay in extreme zones for a long time — this reflects dominance, not necessarily a reversal signal.
- Divergences are more reliable on higher timeframes.
- OB/OS levels should be tailored to Body/AVG Body mode and the instrument.
- Best results come from combining the indicator with other tools (S/R, market structure, volume).
