This website is for educational purposes only and does not constitute investment advice. Always do your own research and assess your own risk tolerance before making investment decisions.

SG Method Decided by: AI 🤖

AI · SG Mid/Small Cap — How this book trades

Every book runs the same signal engine, but a walk-forward tuner learns each book's own pillar emphasis and exit distances from its own universe. These are the live parameters.

AI · SG Mid/Small Cap is an academic paper portfolio — virtual money, decided by AI and filled by a deterministic auto-executor. Incepted 2026-07-06. Position sizes and account values are never published; performance is shown only as a base-100 Total-Return Index.

Pillar weights · tuned 2026-06-21

trend 0.478 default 0.40
momentum 0.313 default 0.30
volatility 0.209 default 0.30

Conviction factors

ema stack0.188 · multitf agreement0.228 · rsi regime0.277 · momentum trajectory0.099 · volume ratio0.151 · atr regime0.057

Exit parameters per signal family

FamilyStop ATRTarget ATREntry offsetTime stop
anticipation 3.3961 0.2671 10 bars
breakout 3.897 2.1895 0.1954
continuation lite 2.7053 0.2208
failed 2.0958
failed up 3 bars
mean reversion 0.8036 1.5458 0.0789 4 bars
momentum continuation 0.0478
oversold bounce 1.4534 0.044 4 bars
pullback 2.3477 1.8581 0.1894
pullback vwap 3.0454 0.2758
rally sell bear 0.2878 9 bars
reversal 1.5064 0.0066 10 bars

What is deliberately not shown

Position sizing (how much of the book each trade takes) is private, and the tuner's in-sample backtest numbers are omitted on purpose — the live Track Record is the only performance claim this site makes.

This website is for educational purposes only and does not constitute investment advice. Always do your own research and assess your own risk tolerance before making investment decisions.