Indicators and Strategies

Quantum Breakout AI - AnkeAlgo's Pine v6 indicator

Quantum Breakout AI — Community Description Quantum Breakout AI is an institutional-grade breakout detection system that combines volatility compression analysis, multi-factor scoring, and automated trade management into a single indicator. Ported from AnkeAlgo's Pine v6 release to the SXVNT SDK. What it does The script hunts for high-probability breakouts by waiting for the market to coil — measured as ATR-normalized range compression — and then grading every breakout candidate across four independent scoring axes before drawing a signal. Each accepted breakout auto-projects its full trade plan (entry, stop, three targets) and the running stats table tracks how the system is actually performing on your chart. Key features ATR compression engine — detects when recent bar ranges have compressed below a configurable multiple of ATR, the precondition for explosive expansion Power score — measures breakout candle strength relative to surrounding volatility Whale score — volume-based confirmation looking for unusual participation on the trigger bar Lifecycle score — tracks how long the compression has been building (longer coils = stronger releases) Quality score — composite filter that gates whether a breakout is plotted at all Directional bias analysis — reads recent structure to weight long vs short setups Automatic risk model — SL placed at structural invalidation, TP1 at 1R, TP2 at 1.5R, TP3 at 2R Energy bar — visual gauge showing real-time compression buildup so you can see a setup forming before it triggers Breakout arrows — clean directional markers (▲ long / ▼ short) at the trigger bar Live stats table — tracks wins, losses, win rate, and average R-multiple across the chart ~30 configurable inputs — every threshold, multiplier, length, and color is tunable How to use Add the indicator to a chart and let it scan a few sessions of history Watch the energy bar — when it fills toward the top, compression is high and a breakout is imminent When the arrow prints, the SL / TP1 / TP2 / TP3 levels are drawn automatically Use the stats table to gauge whether the current settings are profitable for the instrument and timeframe you're trading Tune the quality score threshold higher for fewer/cleaner signals, lower for more setups Math Compression is measured as range(N) / ATR(N) — when this ratio drops below your threshold, the market is statistically quiet relative to its own recent volatility. The four scores combine into a composite confidence value that must clear the quality gate before a signal fires. R-multiples are computed live so the stats table reflects realized performance, not hypothetical fills. Best on liquid futures (ES, NQ, CL, GC) on 1m–15m timeframes. Pairs well with VWAP bands and session anchors for confluence.

by sxvnt28

10

Updated 23d ago