From 4dcfc79635552c593996f4c3814fba7cd3ae3e11 Mon Sep 17 00:00:00 2001
From: drjones <indianaholmes1@icloud.com>
Date: Fri, 27 Feb 2026 02:35:22 -0800
Subject: [PATCH] Fix forced-paper execution semantics and add minimum forced
 notional control

---
 .env.example |  1 +
 bot.py       | 30 ++++++++++++++++--------------
 config.py    |  1 +
 3 files changed, 18 insertions(+), 14 deletions(-)

diff --git a/.env.example b/.env.example
index ce033e0..6975ea2 100644
--- a/.env.example
+++ b/.env.example
@@ -14,6 +14,7 @@ TRADE_INTERVAL_HOURS=2
 CURATE_INTERVAL_MINUTES=30
 TIMEZONE=America/Los_Angeles
 FORCE_PAPER_TRADES=true
+FORCE_PAPER_MIN_USD=10
 
 OLLAMA_URL=http://10.30.20.110:11434
 OLLAMA_CURATOR_MODEL=gemma3:latest
diff --git a/bot.py b/bot.py
index d45aaa3..3d2d0ea 100644
--- a/bot.py
+++ b/bot.py
@@ -69,6 +69,12 @@ def run_cycle():
                     memory_hits = qdrant_similar(symbol, json.dumps(news)[:2000], limit=5)
                     decision = llm_final_decision(symbol, news, strat, memory_hits)
 
+            if settings.paper_mode and settings.force_paper_trades and decision["action"] == "hold":
+                decision["action"] = "buy"
+                decision["confidence"] = max(decision.get("confidence", 0.0), settings.min_confidence)
+                decision["order_usd"] = max(decision.get("order_usd", 0.0), settings.force_paper_min_usd)
+                decision["reason"] = f"{decision.get('reason','')} | force_paper_trades"
+
             drow = BotDecision(
                 symbol=symbol,
                 action=decision["action"],
@@ -82,11 +88,6 @@ def run_cycle():
             db.commit()
             db.refresh(drow)
 
-            if settings.paper_mode and settings.force_paper_trades and decision["action"] == "hold":
-                decision["action"] = "buy"
-                decision["confidence"] = max(decision.get("confidence", 0.0), settings.min_confidence)
-                decision["reason"] = f"{decision.get('reason','')} | force_paper_trades"
-
             should_trade = decision["action"] in {"buy", "sell"} and decision["confidence"] >= settings.min_confidence
 
             if should_trade:
@@ -103,15 +104,16 @@ def run_cycle():
                 drow.status = "executed" if ok else "failed"
                 db.add(drow)
 
-                trade = TradeExecution(
-                    symbol=symbol,
-                    side=decision["action"],
-                    qty=float((res or {}).get("json", {}).get("qty", 0) or 0),
-                    notional=notional,
-                    alpaca_order_id=(res or {}).get("json", {}).get("id", ""),
-                    raw=json.dumps({"decision": decision, "strategy": strat, "memory": memory_hits, "broker": res})[:60000],
-                )
-                db.add(trade)
+                if ok:
+                    trade = TradeExecution(
+                        symbol=symbol,
+                        side=decision["action"],
+                        qty=float((res or {}).get("json", {}).get("qty", 0) or 0),
+                        notional=notional,
+                        alpaca_order_id=(res or {}).get("json", {}).get("id", ""),
+                        raw=json.dumps({"decision": decision, "strategy": strat, "memory": memory_hits, "broker": res})[:60000],
+                    )
+                    db.add(trade)
                 db.commit()
 
                 # learning memory + notes + orchestration signal
diff --git a/config.py b/config.py
index 64707fd..54b6dfb 100644
--- a/config.py
+++ b/config.py
@@ -21,6 +21,7 @@ class Settings:
     curate_interval_minutes = int(os.getenv("CURATE_INTERVAL_MINUTES", "30"))
     timezone = os.getenv("TIMEZONE", "America/Los_Angeles")
     force_paper_trades = os.getenv("FORCE_PAPER_TRADES", "true").lower() == "true"
+    force_paper_min_usd = float(os.getenv("FORCE_PAPER_MIN_USD", "10"))
 
     ollama_url = os.getenv("OLLAMA_URL", "http://10.30.20.110:11434")
     ollama_curator_model = os.getenv("OLLAMA_CURATOR_MODEL", "gemma3:latest")