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algorithmic-trading

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elisy
elisy commented Sep 26, 2020

Describe your environment

  • Operating system: Ubuntu 18.04
  • Python Version: 3.6.9
  • CCXT version: 1.30.48 (pip freeze | grep ccxt)
  • Freqtrade Version: 2020.6 (freqtrade -V or docker-compose run --rm freqtrade -V for Freqtrade running in docker)

Note: All issues other than enhancement requests will be closed without further comment if the above template is deleted

quant-trading

Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies.

  • Updated Oct 31, 2020
  • Python

Backtest 1000s of minute-by-minute trading algorithms for training AI with automated pricing data from: IEX, Tradier and FinViz. Datasets and trading performance automatically published to S3 for building AI training datasets for teaching DNNs how to trade. Runs on Kubernetes and docker-compose. >150 million trading history rows generated from +5000 algorithms. Heads up: Yahoo's Finance API was disabled on 2019-01-03 https://developer.yahoo.com/yql/

  • Updated Sep 5, 2020
  • Jupyter Notebook

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