strategy_ladder_buys_v2

You can automate ladder buys by configuring a drop threshold percentage, a fixed buy amount, and a cooldown period. The system then monitors price declines and automatically places notional buy orders for eligible stocks once the configured drop occurs.

Ladder buy position scaling is a strategy that gradually builds a stock position by placing incremental buy orders as the price falls. It uses baseline price tracking to trigger new buys only after a configurable percentage drop from the previous entry price.

Yes, this ladder buy strategy applies directly to Alpaca-based paper trading systems. It enforces cooldown rules between orders to avoid pattern-day-trader classification while executing automated notional buy placements across a curated set of stocks.

To prevent over-committing cash during multi-stock trade cycles, the ladder buy logic adjusts orders based on available cash balance and applies cooldown-gated entry rules. This ensures notional order sizing stays within safe limits for each stock in the buyable set.

Yes, jq is a required dependency for running the ladder buy scripts. It is used to process JSON data from the Alpaca API, enabling the script to parse pricing data and manage the automated order workflow.

Yes, the ladder buy strategy supports per-stock tuning of drop thresholds, fixed buy amounts, and optional disabling of initial position entry. This allows customized incremental scaling rules for each stock in your curated buyable set.