Provider Fit
آخر تحديث: April 23, 2026
متاح بالإنجليزية فقط
لم يُنشر هذا المستند إلا بالإنجليزية. إذا كان أي جزء منه غير واضح لك، فاسأل قبل استخدام الخدمة: legal@signalfloor.com
What is SignalFloor Provider Fit?
Provider Fit ranks creators from your own closed SignalFloor journal trades (signal-linked only) using win rate, average R, weekly consistency, and a sample-size bonus (capped at 10 trades). The raw sum is clamped to 0–100. It is personal analytics — not the public Provider Performance Score (PPS). Open it from Journal analytics after you have closed signal-linked trades. SignalFloor remains decision support — not copy trading.
Provider Fit answers a different question from Provider Performance Score (PPS). PPS is the public, platform-wide score on a creator's published history. Provider Fit is private to you: it only uses closed trades in your journal that are linked to a signal and a creator.
The ranking formula lives in product code (computeProviderFitScore). If the weights change there, this page changes with them. Related: trade journal · pricing (Pro analytics) · PPS formula.
What goes into the score
- Your win rate with that creator (up to 30 pts). winRate% × 0.3 — at most 30 points when every closed signal-linked trade with that creator was profitable.
- Average R multiple (up to 60 pts). min(avgR + 1, 3) × 20 — at most 60 points when average R is strong.
- Weekly consistency (up to 30 pts). consistency% × 0.3 — at most 30 points when every non-zero week with that creator finished positive.
- Sample size (up to 10 pts). min(trades / 10, 1) × 10 — full 10 points at 10+ closed trades so thin samples cannot dominate.
Point caps can sum above 100 before clamping — the product score you see is always 0–100. Thin histories stay honest because sample-size points max out at 10 trades.
How to open it
- Keep a cloud journal with closed trades linked to signals (free account).
- Open Journal → Analytics → Provider Fit (Pro-tier deep analytics on the pricing page).
- Compare up to two creators side by side using your own outcomes — not their public leaderboard rank alone.