Use RayMelius/stockex-analyst as default LLM for CH AI trader

Matches the model already used by the AI Analyst service.
A CH-specific fine-tuned model can replace it later via HF_MODEL env var.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

clearing_house/ch_ai_trader.py

@@ -35,7 +35,7 @@ CH_SOURCE      = "CLEARINGHOUSE"
 OLLAMA_HOST  = os.getenv("OLLAMA_HOST", "")
 OLLAMA_MODEL = os.getenv("OLLAMA_MODEL", "llama3.1:8b")
 HF_TOKEN     = os.getenv("HF_TOKEN", "")
-HF_MODEL     = os.getenv("HF_MODEL", "Qwen/Qwen2.5-7B-Instruct")
+HF_MODEL     = os.getenv("HF_MODEL", "RayMelius/stockex-analyst")
 GROQ_API_KEY = os.getenv("GROQ_API_KEY", "")
 GROQ_MODEL   = os.getenv("GROQ_MODEL", "llama-3.1-8b-instant")
 GROQ_URL     = "https://api.groq.com/openai/v1/chat/completions"

docker-compose.yml

@@ -204,7 +204,7 @@ services:
       - CH_DB_PATH=/app/data/clearing_house.db
       - CH_PORT=5004
       - HF_TOKEN=${HF_TOKEN:-}
-      - HF_MODEL=${HF_MODEL:-Qwen/Qwen2.5-7B-Instruct}
+      - HF_MODEL=${HF_MODEL:-RayMelius/stockex-analyst}
       - GROQ_API_KEY=${GROQ_API_KEY:-}
       - GROQ_MODEL=${GROQ_MODEL:-llama-3.1-8b-instant}
       - OLLAMA_HOST=${OLLAMA_HOST:-}