Add analytics risk guard and redesigned dashboard

crypto_spot_bot/strategy.py

@@ -852,6 +852,8 @@ def _trend_position_sizing(
     if equity <= 0:
         equity = settings.starting_balance_usdt
     risk_fraction = _clamp(settings.risk_per_trade_percent, 0.0, 0.01)
+    guard_multiplier = _risk_guard_multiplier(account)
+    risk_fraction *= guard_multiplier
     risk_usdt = equity * risk_fraction
     raw_notional = risk_usdt / max(stop_loss_percent, 0.0001)
     high = max(0.0, settings.max_position_usdt)
@@ -860,6 +862,7 @@ def _trend_position_sizing(
     return {
         "method": "fixed_fractional_risk",
         "risk_per_trade_percent": round(risk_fraction * 100, 4),
+        "risk_guard_multiplier": round(guard_multiplier, 4),
         "risk_usdt": round(risk_usdt, 4),
         "stop_loss_percent": round(stop_loss_percent * 100, 4),
         "raw_notional_usdt": round(raw_notional, 4),
@@ -908,7 +911,7 @@ def _position_sizing(
     denominator = max(0.0001, 1.0 - settings.min_signal_confidence)
     confidence_ratio = _clamp((final_score - settings.min_signal_confidence) / denominator, 0.0, 1.0)
     confidence_notional = low + (high - low) * confidence_ratio
-    risk_multiplier = _position_risk_multiplier(forecast, adaptive)
+    risk_multiplier = _position_risk_multiplier(forecast, adaptive) * _risk_guard_multiplier(account)
     method = "confidence"
     raw = confidence_notional
     kelly = _kelly_position(
@@ -952,6 +955,17 @@ def _position_risk_multiplier(forecast: dict | None, adaptive: dict | None) -> f
     return multiplier
 
 
+def _risk_guard_multiplier(account: dict | None) -> float:
+    guard = (account or {}).get("risk_guard")
+    if not isinstance(guard, dict):
+        return 1.0
+    try:
+        value = float(guard.get("position_size_multiplier", 1.0))
+    except (TypeError, ValueError):
+        value = 1.0
+    return _clamp(value, 0.0, 1.0)
+
+
 def _kelly_position(
     *,
     settings: Settings,