algo-portfolio

# Portfolio Runner Configuration
# See algo-expert/rules/portfolio-risk.md for cap explanations

capital: 1000000

portfolio_caps:
  portfolio_sl_pct: 0.02         # halt all at -2% capital
  portfolio_tp_pct: 0.03         # halt all at +3% capital
  daily_loss_pct: 0.015          # daily loss limit
  daily_target_pct: 0.025        # daily target
  max_concurrent_positions: 5
  max_symbol_concentration: 0.30 # max 30% of capital in one symbol

strategies:
  # List your generated strategies. The runner spawns each as a subprocess.
  - name: ema_sbin
    path: strategies/ema_crossover_SBIN/strategy.py
    env:
      SYMBOL: SBIN
      INTERVAL: 5m
  - name: rsi_reliance
    path: strategies/rsi_RELIANCE/strategy.py
    env:
      SYMBOL: RELIANCE
      INTERVAL: 15m

"""Portfolio runner entry point."""
import argparse, logging, os, sys
from pathlib import Path
from dotenv import find_dotenv, load_dotenv

# Add core helpers to path
_HERE = Path(__file__).resolve().parent
for p in [_HERE, *_HERE.parents]:
    c = p / ".claude" / "skills" / "algo-expert" / "rules" / "assets" / "core"
    if c.exists():
        sys.path.insert(0, str(c.parent)); break

from openalgo import api
from core.portfolio_runner import PortfolioRunner

logging.basicConfig(level=os.getenv("LOG_LEVEL", "INFO"),
                    format="%(asctime)s [%(levelname)s] %(name)s - %(message)s",
                    stream=sys.stdout)
load_dotenv(find_dotenv(usecwd=True))

def make_client():
    return api(
        api_key=os.getenv("OPENALGO_API_KEY", ""),
        host=os.getenv("HOST_SERVER") or os.getenv("OPENALGO_HOST", "http://127.0.0.1:5000"),
    )

def main():
    p = argparse.ArgumentParser()
    p.add_argument("--config", default="portfolio.yaml")
    p.add_argument("--mode", choices=["backtest", "live"], default="live")
    args = p.parse_args()

    runner = PortfolioRunner(args.config, client_factory=make_client, mode=args.mode)
    runner.start()
    runner.join()

if __name__ == "__main__":
    main()