breakout-trade-planner

To generate Minervini-style trade plans from VCP screener output, run the Python script against your local screener JSON files to calculate position sizes, risk levels, and entry/stop targets automatically.

Yes, you can calculate position sizes and manage portfolio heat for swing trading breakouts by processing VCP screener JSON data to ensure your trades comply with predefined portfolio risk percentage limits.

Yes, this VCP breakout planner outputs Alpaca-compatible order templates, allowing you to directly translate calculated entry prices, stop levels, and position sizes into actionable API orders.

To automate breakout trade planning, you need Python installed and local JSON files containing VCP screener results, along with knowledge of the VCP methodology and swing trading strategies.

The tool handles worst-case entry prices and risk percentages by ingesting your account size and risk parameters to calculate exact position sizes, ensuring compliance with your overall portfolio heat limits.

A key limitation is that the tool requires local VCP screener JSON files and prior knowledge of VCP methodology; it is specifically tailored for swing trading strategies and does not process live market data streams.