A dockerized Jupyter quant research environment.
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Updated
May 28, 2024 - Dockerfile
A dockerized Jupyter quant research environment.
💎 Live trading crypto on DeFi exchanges. Data analytics using the Deribit API and Dune Analytics.
Quantitative Backtester for algo-trading strategies
Backtest and live trading in Python
Best GitHub Repo from Algorithm Trader, where Quant is applied in Financial Data. This will include multiple segments and different technolgy to get the outcome
Pot 50 & 200 days Simple moving average (SMA). Created class SMApython and used in TestOne
[WIP] Melo-fwk & Melo-ql form a python backtesting ecosystem used for running trading simulations, designing strategies and building portfolios
Supervised logistic regression on parallel time frames of financial market indicators to help determine buying and selling opportunities with micro and macro trends.
These are my quant-paper replication projects:)
Equities Pair Trading/Statistical Arbitrage and Multi-Variable Index Regression
Nautilus_Trader_Jerry_fall_2023 is a customized verision of Nautilus trader by Zhuoran "Jerry" Li on Fall 2023
A CTP client that tries to provide an easy way to develop your own trading program.
Systematic Trading | 系统化、量化交易
Quant Trading with Microsoft Qlib (https://github.com/microsoft/qlib)
A set of personal trading and quant research projects in the crypto markets.
A Go implementation of algorithm trading tool inspired by PyAlgoTrade
Python package that enables access to the entire Darwinex Data Offering (DARWIN, FX, Stock, Commodity, Index and Cryptocurrency assets) from one Wrapper Library.
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