Backtest and live trading in Python
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Updated
Mar 13, 2024 - HTML
Backtest and live trading in Python
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
A dockerized Jupyter quant research environment.
Equities Pair Trading/Statistical Arbitrage and Multi-Variable Index Regression
💎 Live trading crypto on DeFi exchanges. Data analytics using the Deribit API and Dune Analytics.
Quantitative Backtester for algo-trading strategies
[WIP] Melo-fwk & Melo-ql form a python backtesting ecosystem used for running trading simulations, designing strategies and building portfolios
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 set of personal trading and quant research projects in the crypto markets.
Systematic Trading | 系统化、量化交易
These are my quant-paper replication projects:)
A Go implementation of algorithm trading tool inspired by PyAlgoTrade
📕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.
Supervised logistic regression on parallel time frames of financial market indicators to help determine buying and selling opportunities with micro and macro trends.
Pot 50 & 200 days Simple moving average (SMA). Created class SMApython and used in TestOne
A CTP client that tries to provide an easy way to develop your own trading program.
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