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JonesOnie FX Intelligence Engine

Adaptive Algorithmic Trading

A layered decision engine combining historical pattern recognition, probabilistic forecasting, and reward-based trade evaluation.

KNN

Market Similarity Analysis

Monte Carlo

Return Simulation

RL

Reward-Based Trade Gating
How the Engine Works
K-Nearest Neighbors

Compares current market conditions with historically similar patterns to estimate forward return, directional confidence, and variance.

Monte Carlo Forecasting

Simulates thousands of possible market paths to evaluate the distribution of potential outcomes rather than relying on a single-point forecast.

Reinforcement Learning Gate

Evaluates each proposed trade against learned reward patterns before it can advance to execution.

Supporting Intelligence
  • Multi-timeframe market confirmation
  • Cross-currency correlation analysis
  • Fibonacci price-zone analysis
  • Confidence and variance scoring
  • Historical decision and outcome tracking
  • Time-weighted accumulation designed to distribute exposure across qualifying opportunities
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