fix: sensitive signal thresholds in Brief + lower Decio risk filter (75%→70%)

- RSI threshold: 35/65 → 38/62
- Funding: 0.001 → 0.0001 (any positive = bearish signal)
- Long ratio: 48-52 → 47-53 (tighter)
- MACD: 10 → 5 (more sensitive)
- BTC dominance: 57.5 → 55
- 4h change: 1.5% → 1%
- Decio risk filter: 75% → 70% to allow 74% signals through
- Fix UnboundLocalError on change_4h (defined earlier in run())

agents/brief.py

@@ -399,35 +399,42 @@ class BriefAgent:
         btc_dom = btc_d.get("btc_dominance_pct", 0)
         rsi = tech.get("rsi", 50)
         macd_h = tech.get("macd_histogram", 0)
+        change_4h = tech.get("change_4h", 0)
 
         # Signal detection
         bullish_signals = 0
         bearish_signals = 0
 
-        # RSI
-        if rsi < 30: bullish_signals += 1
-        elif rsi > 70: bearish_signals += 1
+        # RSI — granular zones
+        if rsi < 38: bullish_signals += 1
+        elif rsi > 62: bearish_signals += 1
 
-        # Funding rate
-        if funding > 0.01: bearish_signals += 1   # high funding = long squeeze risk
-        elif funding < -0.01: bullish_signals += 1
+        # Funding rate — any positive funding = long pressure
+        if funding > 0.0001: bearish_signals += 1
+        elif funding < -0.0001: bullish_signals += 1
 
-        # Long ratio
-        if long_ratio > 60: bearish_signals += 1   # over-leveraged longs
-        elif long_ratio < 40: bullish_signals += 1
+        # Long ratio — tighter around 50
+        if long_ratio > 53: bearish_signals += 1
+        elif long_ratio < 47: bullish_signals += 1
 
-        # Fear&Greed
-        if fg_class in ["Extreme Fear", "Fear"]: bullish_signals += 1
-        elif fg_class in ["Extreme Greed", "Greed"]: bearish_signals += 1
+        # Fear&Greed — extreme gets 2x
+        if fg_class in ["Extreme Fear"]: bullish_signals += 2
+        elif fg_class == "Fear": bullish_signals += 1
+        elif fg_class == "Greed": bearish_signals += 1
+        elif fg_class in ["Extreme Greed"]: bearish_signals += 2
 
-        # MACD histogram
-        if macd_h > 0: bullish_signals += 1
-        elif macd_h < 0: bearish_signals += 1
+        # MACD histogram — lower threshold for sensitivity
+        if macd_h > 5: bullish_signals += 1
+        elif macd_h < -5: bearish_signals += 1
 
-        # BTC dominance (high = BTC season, alt risk)
+        # BTC dominance
         if btc_dom > 55: bullish_signals += 1
         elif btc_dom < 45: bearish_signals += 1
 
+        # Price momentum (4h change)
+        if change_4h > 1.0: bullish_signals += 1
+        elif change_4h < -1.0: bearish_signals += 1
+
         # Determine signal and confidence
         net = bullish_signals - bearish_signals
         if net >= 3:
@@ -441,7 +448,6 @@ class BriefAgent:
             confidence = 40 + abs(net) * 5
 
         # Change-based confirmation
-        change_4h = tech.get("change_4h", 0)
         change_24h = tech.get("change_24h", 0)
         if change_24h > 5 and signal == "NEUTRO":
             signal = "ALTA"; confidence = min(confidence + 10, 85)