{"owner":"coding-kitties","github":"https://github.com/coding-kitties","claimed":false,"inventory":[],"indexed":[{"repo":"coding-kitties/investing-algorithm-framework","github":"https://github.com/coding-kitties/investing-algorithm-framework","description":"Framework for quantitative trading. Complete framework for development, backtesting, and deploying automated trading algorithms and trading bots.","language":"Python","stars":1702,"topics":["trading-bot","cryptocurrency","algorithmic-trading","trade","python","trading","trading-strategies","backtesting","backtesting-trading-strategies","trading-bots"],"license":"Apache-2.0","category":"trading"},{"repo":"coding-kitties/PyIndicators","github":"https://github.com/coding-kitties/PyIndicators","description":"PyIndicators is a powerful and user-friendly Python library for financial technical analysis indicators, metrics and helper functions for pandas and polars dataframes. Written entirely in Python, it requires no external dependencies, ensuring seamless integration and ease of use.","language":"HTML","stars":49,"topics":["dataframe","finance","fundamental-analysis","jupyter-notebook","pandas","pandas-dataframe-extension","pandas-ta","polars","polars-dataframe","stock-market"],"license":"MIT","category":"analytics"}],"how_to_buy":"GET /r/coding-kitties/<repo> (Accept: application/json) for any listed repo here: tree, README, price and the checkout to pay (x402; rehearse first at its test twin, simulated money). Repos under 'indexed' are free: clone them from GitHub."}