Description
his Python framework is designed for developing algorithmic trading strategies, with a focus on strategies that use machine learning. With PyBroker, you can easily create and fine-tune trading rules, build powerful models, and gain valuable insights into your strategy’s performance.
#<Sawyer::Resource:0x00007f547c38f220> alternatives and similar packages
Based on the "Finance" category.
Alternatively, view pybroker alternatives based on common mentions on social networks and blogs.
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PyThalesians
Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians)
InfluxDB - Power Real-Time Data Analytics at Scale
* Code Quality Rankings and insights are calculated and provided by Lumnify.
They vary from L1 to L5 with "L5" being the highest.
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