This project is a comprehensive framework for engineering financial data pipelines, designed to automate the collection, cleaning, and synchronization of large-scale market datasets. It functions as a quantitative trading data engine, providing the infrastructure necessary to manage historical and real-time asset pricing information for research and machine learning workflows. The system distinguishes itself through a configuration-driven approach to orchestration, allowing users to manage complex data acquisition tasks across multiple financial providers. It features resilient middleware tha
:boar: :bear: Deep Learning based Python Library for Stock Market Prediction and Modelling
Machine Learning in Asset Management (by @firmai)
Systematic Trading in python
Source code for Algorithmic Trading with Python (2020) by Chris Conlan
Principalele funcționalități ale chrisconlan/algorithmic-trading-with-python sunt: Machine Learning Models, Trading and Backtesting, Educational Resources.
Alternativele open-source pentru chrisconlan/algorithmic-trading-with-python includ: stefan-jansen/machine-learning-for-trading — This project is a comprehensive framework for engineering financial data pipelines, designed to automate the… achillesrasquinha/bulbea — :boar: :bear: Deep Learning based Python Library for Stock Market Prediction and Modelling. robcarver17/pysystemtrade — Systematic Trading in python. firmai/machine-learning-asset-management — Machine Learning in Asset Management (by @firmai). charliedream1/ai_quant_trade — ai_quant_trade is an AI-driven quantitative trading platform that enables the development, backtesting, and deployment… ageron/handson-ml — This is a machine learning educational repository consisting of a collection of notebooks and code examples. It…