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PORTAL 2 • 10-YEAR ALPHA FORENSICS & KELLY ENGINE

54 Futures Matrix & Kelly Sizing Guide

Rigorous historical physics: 10-year rolling win rates, Profit Factor (PF), Trader’s Equation, and Half-Kelly risk management.

1. 10-Year Rolling Forensics & Data Protocol

MarketSightAI systematically tracks 54 major Chinese continuous commodity and index futures contracts across CFFEX, SHFE, DCE, CZCE, and INE. Unlike conventional curve-fitting backtests, our engine enforces rigorous causality:

Physical Timestamp

All daily settlement records are physically aligned to 15:00:00 CST with zero arbitrary clock offsets.

Zero Lookahead Bias

Bar N+1 cannot peek into Bar N+2. Indicator bands and regime gates recompute dynamically strictly on closed bars.

Full-Lifecycle Tracking

Orders strictly progress through PENDING ➔ TRIGGERED ➔ CLOSED states according to price touch mechanics.

2. Core Quantitative Metrics Dissected

Profit Factor (PF) PF = Gross Profit / Gross Loss

Profit Factor represents the gross profits divided by gross losses across all triggered trades. A PF > 1.0 indicates profitable positive expectancy. Top empirical setups in MarketSightAI typically feature PF between 1.6 and 2.4.

Win Rate (%) Win Rate = Winning Trades / Total Trades

Al Brooks Price Action emphasizes that win rate alone is meaningless without Reward-to-Risk ratio. Even at 40% win rate, a setup with 2.5:1 R:R yields remarkable long-term equity growth.

Reward-to-Risk Ratio (R:R) R:R = Avg Win Points / Avg Loss Points

Measures the payoff asymmetry of executed setups. MarketSightAI computes this strictly using actual exit execution rather than theoretical targets.

3. Trader’s Equation & Half-Kelly Sizing Engine

The cornerstone of mathematical trading is the Trader’s Equation:

EV = (Probability of Win × Potential Reward) - (Probability of Loss × Potential Risk) > 0

When EV is strictly positive, the Kelly Criterion calculates the theoretically optimal capital allocation to maximize geometric growth rate without risking total ruin:

f* = [p · (b + 1) - 1] / b where p = empirical win rate, b = payoff ratio (Reward / Risk)
Why MarketSightAI enforces Half-Kelly (0.5 × f*)?

Full Kelly assumes known infinite samples with constant distribution. In real futures markets, volatility clustering and fat-tail drawdowns happen. Using Half-Kelly retains ~75% of maximum growth rate while reducing peak portfolio volatility by over 50%.