Code for How To Create A Fully Automated AI Based Trading System With Python

Last update: Jan 05, 2023

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Overview

AI Based Trading System

This code works as a boilerplate for an AI based trading system with yfinance as data source and RobinHood or Alpaca as brokers. DO NOT USE IT FOR TRADING AS IT IS. Follow the tutorial in Medium.

Since I plan to keep writing on this topic I'm moving the original boilerplate to the original_boilerplate folder - without removing anything. I'll keep the ai-trading-system folder polished and more production-ready.

Usage so far:

$ sudo dockerd
$ docker-compose up --build ai-trading-system

Stay tuned!

Owner

Rubén

Doin' it right

GitHub Repository

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Code for How To Create A Fully Automated AI Based Trading System With Python

Related tags

Overview

AI Based Trading System

Owner

Rubén

Pytorch Implementation for CVPR2018 Paper: Learning to Compare: Relation Network for Few-Shot Learning

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This is the code of paper ``Contrastive Coding for Active Learning under Class Distribution Mismatch'' with python.

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[ICCV-2021] An Empirical Study of the Collapsing Problem in Semi-Supervised 2D Human Pose Estimation

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