saeed349 / Microservices-Based-Algorithmic-Trading-SystemLinks
MBATS is a docker based platform for developing, testing and deploying Algorthmic Trading strategies with a focus on Machine Learning based algorithms.
☆524Updated last year
Alternatives and similar repositories for Microservices-Based-Algorithmic-Trading-System
Users that are interested in Microservices-Based-Algorithmic-Trading-System are comparing it to the libraries listed below
Sorting:
- Analysis on systematic trading strategies (e.g., trend-following, carry and mean-reversion). The result is regularly updated.☆627Updated this week
- A Python library for evaluating option trading strategies.☆414Updated 4 months ago
- Backtest and live trading in Python☆618Updated last year
- Framework for algorithmic trading☆864Updated 2 years ago
- Modular Python library that provides an advanced event driven backtester and a set of high quality tools for quantitative finance. Integr…☆705Updated 3 weeks ago
- low code backtesting library utilizing pandas and technical analysis indicators☆485Updated last week
- Framework for developing, backtesting, and deploying automated trading algorithms and trading bots.☆510Updated this week
- This repository contains three ways to obtain arbitrage which are Dual Listing, Options and Statistical Arbitrage. These are projects in …☆983Updated 2 years ago
- This project involves using a combination of statistics along with financial thoery to demonstrate a popular trading strategy used in equ…☆481Updated last year
- Developing Options Trading Strategies using Technical Indicators and Quantitative Methods☆918Updated last year
- Open sourced research notebooks by the QuantConnect team.☆642Updated last year
- PyTrendFollow - systematic futures trading using trend following☆419Updated 7 years ago
- A nimble options backtesting library for Python☆1,174Updated last year
- Asynchronous, event-driven algorithmic trading in Python and C++☆739Updated last week
- Mostly experiments based on "Advances in financial machine learning" book☆557Updated 4 years ago
- Using data analytics alongside popular trading strategies and indicators, to identify best trading actions based solely on the price acti…☆372Updated 6 months ago
- GPU-accelerated Factors analysis library and Backtester☆735Updated 4 months ago
- ☆502Updated 2 years ago
- Technical Analysis library in pandas for backtesting algotrading and quantitative analysis☆480Updated 3 years ago
- Quantitative Investment Strategies (QIS) package implements Python analytics for visualisation of financial data, performance reporting, …☆423Updated 2 weeks ago
- Quantitative finance research tools in Python☆432Updated 2 years ago
- Sources codes for: Mastering Python for Finance, Second Edition☆426Updated last month
- Support and Resistance Trend lines Calculator for Financial Analysis☆680Updated 4 years ago
- Intelligently optimizes technical indicators and optionally selects the least intercorrelated for use in machine learning models☆447Updated last year
- A library to calculate Market Profile (aka Volume Profile) for financial data from a Pandas DataFrame.☆380Updated last year
- A dockerized Jupyter quant research environment.☆207Updated last week
- Alpaca Trading API integrated with backtrader☆663Updated 8 months ago
- Portfolio and risk analytics in Python☆524Updated 2 weeks ago
- Implementation of code snippets, exercises and application to live data from Machine Learning for Asset Managers (Elements in Quantitativ…☆574Updated 7 months ago
- Option and stock backtester / live trader☆269Updated 8 months ago