Backtest and live trading in Python
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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.
Quant Trading with Microsoft Qlib (https://github.com/microsoft/qlib)
An interactive visualization of per-tick liquidity for BTC-PERP on FTX
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
An awesome list of agents specialized for financial data analysis
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A set of personal trading and quant research projects in the crypto markets.
Pot 50 & 200 days Simple moving average (SMA). Created class SMApython and used in TestOne
Quantitative Backtester for algo-trading strategies
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Systematic Trading | 系统化、量化交易
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