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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 417 131

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 198 84

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…

   9 2

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 42 32

5. Quant-Trading-Cloud-Infrastructure Quant-Trading-Cloud-Infrastructure Public

   This repository is an advanced version of the MBATS infrastructure that you can use to provision Google Cloud and CloudFlare services so that you could take the different components of MBATS into t…

   HCL 24 10

6. 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 34 6