Backtest and live trading in Python
-
Updated
Jun 20, 2024 - HTML
Backtest and live trading in Python
A dockerized Jupyter quant research environment.
Python package that enables access to the entire Darwinex Data Offering (DARWIN, FX, Stock, Commodity, Index and Cryptocurrency assets) from one Wrapper Library.
An interactive visualization of per-tick liquidity for BTC-PERP on FTX
Quant Trading with Microsoft Qlib (https://github.com/microsoft/qlib)
Equities Pair Trading/Statistical Arbitrage and Multi-Variable Index Regression
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
A Go implementation of algorithm trading tool inspired by PyAlgoTrade
A set of personal trading and quant research projects in the crypto markets.
Nautilus_Trader_Jerry_fall_2023 is a customized verision of Nautilus trader by Zhuoran "Jerry" Li on Fall 2023
Pot 50 & 200 days Simple moving average (SMA). Created class SMApython and used in TestOne
Quantitative Backtester for algo-trading strategies
📕HKU Mfft 21'fall-Quant Trading. Group members: Diana LI @Diana-LI-Zhaozhen Iris SHI @IrisSQM Alice WANG @RiverSilence. We are replicating part of Rovy Marx's working paper: The other side of value: The gross profitability premium, published in 2010.
💎 Live trading crypto on DeFi exchanges. Data analytics using the Deribit API and Dune Analytics.
Jobs for 2022 New Grads
Systematic Trading | 系统化、量化交易
These are my quant-paper replication projects:)
Add a description, image, and links to the quant-trading topic page so that developers can more easily learn about it.
To associate your repository with the quant-trading topic, visit your repo's landing page and select "manage topics."