{"id":27294256,"url":"https://github.com/westonplatter/ta_scanner","last_synced_at":"2025-09-12T02:11:13.389Z","repository":{"id":57473433,"uuid":"271944803","full_name":"westonplatter/ta_scanner","owner":"westonplatter","description":"Scanner that finds patterns in stocks/options/futures and discerns future risk/reward. 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What is the 1 and 2 std dev band for each isntrument at 30 minute\nintervals?\n\n## Features\n\n- [x] Pull data from IB\n- [ ] Apply various indicators against single or multiple instruments\n    - [ ] Simple Moving Average Crossover\n    - [ ] MACD Crossover\n\n### Digging a little deeper\n\nTechnical analysis sometimes works, and sometimes doesn't. The goal of this\ncodebase is to provide means/methods for measuring a universe of instruments\nand determine which ones are behaving in line with various TA patterns\n\nIt's intended to work differently than a traditional backtester (eg, a\nQuantopian and QuantConnect). From what I undestand about backtesting, the\ngoal is to provide predetermined entry and exit rules, and measure the\nresults for a single or multiple instruments. This software is didferent\nit that it intends to experiment with the entry and exit rules and see how\nthose adjustments impact results.\n\n## Structure\n\nCore Framework lives in this repo, and your secret sauce parameter/configs,\nresearch findings live in another one.\n\nThis repo will feel like a mono repo to many, and focuses on\n\n- downloading market data (currently using IB API Gateway)\n- exposing market data\n- running multi-variate simulations\n- reporting results\n\n\n## Releasing\n\nPypi release commands,\n\n```\npython setup.py sdist bdist_wheel\ntwine upload dist/*\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fwestonplatter%2Fta_scanner","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fwestonplatter%2Fta_scanner","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fwestonplatter%2Fta_scanner/lists"}