mdc2002/algotrading-competition
The annual coding competition hosted by Optiver in collaboration with LSE
This project helps quantitative traders and financial analysts develop and test automated stock trading strategies. You input historical stock price data, and it outputs a trading algorithm designed to profit from temporary price discrepancies between related stocks. It's built for those who want to automate their trading decisions on a simulated exchange.
No commits in the last 6 months.
Use this if you are a quantitative trader interested in developing and backtesting statistical arbitrage strategies like pairs trading.
Not ideal if you're looking for a general-purpose investment tool or a platform for manual trading decisions.
Stars
18
Forks
5
Language
Python
License
MIT
Category
Last pushed
Jul 18, 2022
Commits (30d)
0
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