safe_trading

To avoid pattern day trader violations, filter your stock pool into compliant sellable and buyable sets by enforcing a 2-trading-day cooldown between buy and sell actions. This skill calculates that threshold using Alpaca market calendar data to exclude weekends and holidays.

The 2-trading-day cooldown uses Alpaca market calendar data to count only active trading days, excluding weekends and holidays. This prevents calendar-day loopholes and accurately reflects actual market sessions before clearing stocks as sellable.

Yes, this stock-filtering tool integrates directly with Alpaca paper trading accounts. It retrieves market calendar data to calculate mandatory cooldown periods and splits your trading pool into compliant buyable and sellable sets for autonomous trading.

To avoid H1B visa income classification misclassification, enforce mandatory cooldown periods between buy and sell transactions to prevent excessive day trading. This skill filters stocks into compliant sets, ensuring trading frequency stays within regulatory limits.

The cooldown filter explicitly handles edge cases including empty stock pools, future-dated timestamps, and newly added pool entries. This ensures the filtering logic remains stable and does not crash when evaluating non-standard or incomplete trading data.

Yes, you need jq installed as a dependency to run the safe_trading stock filter. The scripts use jq to process and parse JSON trading pool data when splitting stocks into compliant buyable and sellable sets.