diff --git a/.github/copilot-instructions.md b/.github/copilot-instructions.md
index 2e086cc..5d05ac5 100644
--- a/.github/copilot-instructions.md
+++ b/.github/copilot-instructions.md
@@ -462,13 +462,14 @@ docker system df
 
 ## Multi-Timeframe Price Tracking System (Nov 19, 2025)
 
-**Purpose:** Automated data collection and analysis for signals across multiple timeframes (5min, 15min, 1H, 4H, Daily) to determine which timeframe produces the best trading results.
+**Purpose:** Automated data collection and analysis for signals across multiple timeframes (5min, 15min, 1H, 4H, Daily) to determine which timeframe produces the best trading results. **Also tracks quality-blocked signals** to analyze if threshold adjustments are filtering too many winners.
 
 **Architecture:**
 - **5min signals:** Execute trades (production)
 - **15min/1H/4H/Daily signals:** Save to BlockedSignal table with `blockReason='DATA_COLLECTION_ONLY'`
+- **Quality-blocked signals:** Save with `blockReason='QUALITY_SCORE_TOO_LOW'` (Nov 21: threshold raised to 91+)
 - **Background tracker:** Runs every 5 minutes, monitors price movements for 30 minutes
-- **Analysis:** After 50+ signals per timeframe, compare win rates and profit potential
+- **Analysis:** After 50+ signals per category, compare win rates and profit potential
 
 **Components:**
 
@@ -537,10 +538,22 @@ ORDER BY win_rate DESC;
 
 **Decision Making:**
 After sufficient data collected:
-- Compare: 5min vs 15min vs 1H vs 4H vs Daily win rates
-- Evaluate: Signal frequency (trades/day) vs win rate trade-off
-- Identify: Which timeframe has best TP1 hit rate with acceptable MAE
-- Action: Switch production timeframe if higher timeframe shows significantly better results
+- **Multi-timeframe:** Compare 5min vs 15min vs 1H vs 4H vs Daily win rates
+- **Quality threshold:** Analyze if blocked signals (quality <91) would've been winners
+- **Evaluation:** Signal frequency vs win rate trade-off, threshold optimization
+- **Query example:**
+```sql
+-- Would quality-blocked signals have been winners?
+SELECT 
+  COUNT(*) as blocked_count,
+  SUM(CASE WHEN "wouldHitTP1" THEN 1 ELSE 0 END) as would_be_winners,
+  SUM(CASE WHEN "wouldHitSL" THEN 1 ELSE 0 END) as would_be_losers,
+  ROUND(100.0 * SUM(CASE WHEN "wouldHitTP1" THEN 1 ELSE 0 END) / COUNT(*), 1) as missed_win_rate
+FROM "BlockedSignal"
+WHERE "blockReason" = 'QUALITY_SCORE_TOO_LOW'
+  AND "analysisComplete" = true;
+```
+- **Action:** Adjust thresholds or switch production timeframe based on data
 
 **Key Features:**
 - **Autonomous:** No manual work needed, runs in background