Quantitative systematic trading strategy development and backtesting in Julia
-
Updated
Apr 6, 2021 - Julia
Quantitative systematic trading strategy development and backtesting in Julia
Time series implementation for the Julia language focused on efficiency and flexibility
Cryptocurrency trading bot, and backtesting framework in julia
Julia Incremental Technical Analysis Indicators (inspired by talipp)
A powerful machine learning system for constructing sustainable strategies for financial trading.
Lucky is a reactive and async trading framework in Julia designed to rapidly draft, test, deploy and monitor trading strategies and portfolios.
A Julia library for calculating risk budgeting weights.
A lightweight interface to a range of financial data feeds (featuring polygon.io, IBKR API).
Add a description, image, and links to the quantitative-trading topic page so that developers can more easily learn about it.
To associate your repository with the quantitative-trading topic, visit your repo's landing page and select "manage topics."