Build a standard data schema, and then implement various connectors to import systems you are familiar with for analysis. fooltrader is a quantitative analysis trading system designed using big data technology, including data capture, cleaning, structuring, calculation, display, backtesting and trading. Its goal is to provide a unified framework for the whole market (stock, futures, bonds, foreign exchange, digital currency, macroeconomics, etc.) for research, backtesting, forecasting, and trading. Its applicable objects include quantitative traders, teachers, and students majoring in finance, people interested in economic data, programmers, and people who like freedom and the spirit of exploration. You could write the Strategy using an event-driven or time walkway and view and analyze the performance in a uniform way.

Features

  • China stock fundamentals analysis
  • General trend dashboard
  • Gdp and market value comparison
  • GEM(similar to nasdaq) PE analysis
  • Global market PE comparison
  • Capture, clean, structure, calculate, display, backtesting and trading

Project Samples

Project Activity

See All Activity >

License

MIT License

Follow fooltrader

fooltrader Web Site

Other Useful Business Software
$300 in Free Credit Towards Top Cloud Services Icon
$300 in Free Credit Towards Top Cloud Services

Build VMs, containers, AI, databases, storage—all in one place.

Start your project in minutes. After credits run out, 20+ products include free monthly usage. Only pay when you're ready to scale.
Get Started
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of fooltrader!

Additional Project Details

Programming Language

Python

Related Categories

Python Frameworks, Python Cryptocurrency Software, Python Big Data Tool

Registered

2022-06-02