| name | sf-profit-factor |
| description | Rank StrategyFactory strategies specifically by profit factor with sanity floors so PF outliers from tiny samples don't dominate. Use when the user asks "find high profit factor strategies / show me PF > 2 / which strategies have the best risk-reward / what's got the cleanest profit factor". Read-only. |
sf-profit-factor
Profit factor is gross-profit / gross-loss. Above 1 means edge, above 1.5
is strong, above 2 is elite. This skill ranks strategies by PF but applies
sanity floors so a strategy with PF=8 over 5 trades doesn't beat one with
PF=2.5 over 800 trades.
When to use
- "Find high profit-factor strategies on SF"
- "Show me PF > 2 with at least 200 trades"
- "Which strategies have the cleanest risk-reward profile?"
Floors applied before ranking
- PF ≥ 1.2 (rejects everything below "real edge")
- Trades ≥ 30 (rejects tiny samples)
- Net profit > 0 (rejects "high PF but lost money" curveballs)
Scoring (single-purpose, PF-heavy)
score = 0.70 * min(PF, 5) / 5 # PF capped at 5 so outliers don't dominate
+ 0.20 * (1 - drawdown/40) # drawdown penalty
+ 0.10 * min(trades, 500)/500 # sample-size confidence
How to run
python sf-profit-factor/pf.py \
[--top N] # default 10
[--prescreen N] # default 200
[--min-pf X] # default 1.5
[--min-trades N] # default 100
[--max-drawdown %] # default 30
[--pair CSV] [--timeframe CSV]
[--json]
Output
Table sorted by raw PF (so the user sees what they came for), with the
sanity-aware score in the last column.
