FranklineMisango/AlgoForge

AI Summary: The task requires extending the existing AlgoForge data pipeline to download minute-granularity NQ (Nasdaq 100) data from a free API source. This involves identifying a suitable free API provider offering NQ data at the required resolution, integrating the API into the `data_pipeline` module, handling any necessary data transformations to match the LEAN format, and adding appropriate error handling and rate limiting. Thorough testing will be needed to ensure data accuracy and pipeline reliability.

AI Summary: Integrate free intraday options and futures data download capabilities into the AlgoForge platform. This involves identifying free APIs providing this data (likely a limitation), adapting the existing data pipeline to handle the new data format and potentially different API structures, and ensuring compatibility with the QuantConnect LEAN engine's backtesting framework. Thorough testing will be crucial to validate data accuracy and backtesting results.