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1. Microservices-Based-Algorithmic-Trading-System Microservices-Based-Algorithmic-Trading-System Public

   MBATS is a docker based platform for developing, testing and deploying Algorthmic Trading strategies with a focus on Machine Learning based algorithms.

   Python 482 144

2. Deep-Reinforcement-Learning-in-Trading Deep-Reinforcement-Learning-in-Trading Public

   This repository provides the code for a Reinforcement Learning trading agent with its trading environment that works with both simulated and historical market data. This was inspired by OpenAI Gym …

   Jupyter Notebook 209 86

3. quant_infra quant_infra Public

   Explore building an advanced infrastructure for enhancing QuantConnect with Snowflake, Databricks, Airflow & AWS. Learn the basics of quant trading workflows, from selecting US cash equities datase…

   11 5

4. Microservices-Based-Algorithmic-Trading-System-V-2.0 Microservices-Based-Algorithmic-Trading-System-V-2.0 Public

   MBATS is a docker based platform for developing, testing and deploying Algorthmic Trading strategies with a focus on Machine Learning based algorithms. This repository is an advanced version of the…

   Python 49 33

5. Advances-in-Financial-Machine-Learning Advances-in-Financial-Machine-Learning Public

   Using Dask, a Python framework, I handle 900 million rows of S&P E-mini futures trade tick data directly on a local machine. Through exploratory data analysis, continuous series creation, and bar s…

   Jupyter Notebook 37 7

6. LLM-Powered-Metadata-Graph LLM-Powered-Metadata-Graph Public

   Jupyter Notebook 4 2