Run AXIOM's full institutional macro intelligence pipeline (E1→E8). Classifies market regime via logistic regression on 9 FRED indicators, retrieves historical analogues from an 82-event corpus, generates bull/base/bear scenarios, and produces multi-asset + stock-level allocations with Monte Carlo risk metrics.
Executes AXIOM's full 8-engine pipeline for institutional macro investment intelligence:
cd D:/AXIOM/Backend
D:/AXIOM/Axiom/Scripts/python.exe main.py
D:/AXIOM/Axiom/Scripts/python.exe autonomous_daemon.py
Run the AXIOM macro pipeline for today. Use the axiom-macro-pipeline skill.
Working directory: D:/AXIOM/Backend
Python: D:/AXIOM/Axiom/Scripts/python.exe
Command: python autonomous_daemon.py
FRED_API_KEY — macroeconomic data (FRED API)
ALPACA_API_KEY — paper trading execution
ALPACA_API_SECRET — paper trading execution
FINNHUB_API_KEY — news sentiment
OLLAMA_HOST — http://localhost:11434 (LLM for E3/E4)
OLLAMA_CHAT_MODEL — qwen3:1.7b
OLLAMA_EMBED_MODEL — mxbai-embed-large
DATABASE_URL — postgresql+asyncpg://axiom:axiom@localhost:5432/axiom
Every pipeline run is automatically captured to:
D:/AXIOM/Backend/trajectories/axiom_runs.jsonl
Atropos/ShareGPT-compatible format. Use TrajectoryLogger.export_for_finetuning() to convert to OpenAI fine-tuning format.
ln(1+r)) — Itô-compatible, better tail statistics