Indicator · Pine Script v5 · On the chart

Advanced Quantum Optimization Kernel

by majixai

A complex chart overlay that draws bullish, bearish and neutral forecast objects, filtered by a minimum confidence and a strategy filter such as trend following or mean reversion.

View on GitHub

GitHub stars1on the repository
Pine versionv5runs as is
Lines of code694
Settings18inputs
LicenceNone stated
Last updateyesterday28 Oct 2026

Add It to Your TradingView Chart

  1. 1Copy the scriptPress Copy script above. It reads the file straight from GitHub.
  2. 2Open the Pine EditorOpen a TradingView chart and choose Pine Editor at the bottom of the screen.
  3. 3Paste over the templateCreate a new indicator, select all of the template text and paste. Press Save and give it a name.
  4. 4Add it to the chartPress Add to chart, then adjust the settings with the gear icon next to its name.

Source Code

The code stays on GitHub. The author has not published this script under an open licence, so ForexR does not show its code. Copy script reads the file straight from GitHub into your clipboard, so you can still try it on your own chart. Ask the author before reusing the code anywhere else.

Overview

Advanced Quantum Optimization Kernel estimates the next likely pattern with a Bayesian style probability, tracks relative volume and liquidity states, and shows overlays for object cleanup and telemetry. An optional external seed feed can be switched on. The inputs are mostly display controls, and the forecast logic is experimental and hard to verify.

Details

Published by

majixai on GitHub

Type

Indicator, Pine Script v5

Draws

On the price chart

Category

AI / machine learning, Volume

Markets

Any symbol

Timeframes

Any timeframe

Risk Notes

No repainting, lookahead or stacked entries were found in its code or README. That says nothing about how well it works: test it first.

Settings

The inputs you can change from the gear icon on the chart. Defaults are the author's.

SettingTypeDefaultVariable
Show Bullish Forecastsbooltruei_show_bullish_forecasts
Show Bearish Forecastsbooltruei_show_bearish_forecasts
Show Neutral Forecastsbooltruei_show_neutral_forecasts
Minimum Forecast Confidencefloat0.62i_min_forecast_confidence
Strategy FilterstringAlli_strategy_filter
Pathology Selection ModestringAutoi_pathology_mode
Show GC Overlaybooltruei_show_gc_overlay
Show Telemetry Overlaybooltruei_show_telemetry_overlay
Show Pattern Overlaybooltruei_show_pattern_overlay
Overlay Opacityfloat0.78i_overlay_opacity
Forecast Next Most Probable Patternbooltruei_enable_next_pattern_forecast
Persist Pattern State Compactlybooltruei_enable_bayesian_persistence
Show all 18 settings
SettingTypeDefaultVariable
Compact Encodingstringhexi_compact_encoding
Pattern Capacity Multiplierfloat2.5i_pattern_capacity_multiplier
Minimum Pattern Probabilityfloat0.55i_min_pattern_probability
Math Seed Sourcestringseed_majixai_mathi_math_seed_source
Math Seed SymbolstringALGEBRA_CALCULUS_COSi_math_seed_symbol
Use request.seed() Math Feedboolfalsei_use_math_seed
Third-party code. ForexR did not write, test or endorse this script, and the summary above was generated automatically from its code and README. Indicators describe the past, and a strategy's backtest can look better than live trading, especially when a script repaints. Check it in the Strategy Tester and on a demo account before you rely on it.

Similar Pine Scripts

114 stars

Volume Weighted Distance applies statistical and machine learning distance metrics between source prices and their rolling mean, weighted by volume, to identify local trend reversals. Users can select from Manhattan, Euclidean, Mahalanobis, Cosine Similarity,

Indicator v4 Oscillators & momentumVolume Repaints
Updated 1 year ago · None stated GitHub repository of Volume Weighted Distance

Atomic Tick Predictor — Statistical Next-Candle Engine estimates the likelihood of the next candle direction by combining a K-Nearest Neighbors algorithm with live tick updates. It tracks up and down ticks, tick volume, and price pressure within the active bar

Indicator v5 AI / machine learningVolume Repaints

This indicator uses a two-dimensional k-nearest-neighbours model on scaled oscillator values to classify the current bar as buy, sell, or hold from similar historical states. Users select RSI, ROC, CCI, momentum, or all of them, and set the neighbour count, fa

Indicator v4 AI / machine learningOscillators & momentum
Updated 1 year ago · None stated GitHub repository of Machine Learning: kNN-based Strategy (update)

ML Decision Tree Classifier

by haydarkadioglu
1 stars

The ML Decision Tree Classifier uses rule-based decision tree logic to evaluate trend, momentum, volume, and MACD indicators for market direction classification. It calculates exponential moving averages, relative strength index values, volume relative to a mo

Indicator v5 AI / machine learningTrend
Updated 8 months ago · None stated GitHub repository of ML Decision Tree Classifier

This indicator scores seven approaches on every bar: RSI, volume, VWAP, EMA trend, MACD, Bollinger Bands and a volume-delta module. Each score is weighted by a rolling record of that approach's recent agreement with price, and the weighted total must pass an a

Indicator v6 AI / machine learningOscillators & momentum
Updated 6 months ago · None stated GitHub repository of SignalForge v5 Volume Intelligence

More indicators

Trade Your Charts With a Regulated Broker

Compare brokers that connect to TradingView, with spreads, minimum deposits and leverage side by side.

Compare brokers