| Coin | Price | 1h | 24h | 7d | Vol / Mcap | Driven by | Score ▼ |
|---|
| Outcome | Coin | Category | Entry | Price | P&L | P&L $ | Capital | Duration | Entry date |
|---|
What the rules committed to the moment each position opened — how far the win target sat above the fill, and how far the stop sat below it.
Two sizing models side by side. Fixed notional puts the same dollar amount into every trade. Fixed risk is the standard convention — risk a set fraction of the account per trade and let the stop distance set the position size, so capital = risk ÷ stop distance. Because every loss here resolved by hitting its stop, every loss is about −1R regardless of what its percentage says.
Every candidate filter scored against all resolved trades. Trades kept is the sample the win rate rests on; discarded and their win rate show what the filter threw away (a filter that discards winners is not a good filter); open admitted is how many currently-open positions it would still let through, i.e. whether the rule is usable going forward or just flattering in hindsight.
Settles whether risky is genuinely worse, or merely tended to fill low in its buy zone — those need opposite fixes.
Same trades, same entries, replayed against a different exit rule — computed from the milestones each trade actually recorded, not a simulation.