Backtest and live trading in Python
Trade cryptocurrency with $1M+ volumes without slippage. AI-strategies, 0.05% commissions, DeFi-stacking and smart contracts. For institutional investors.
A dockerized Jupyter quant research environment.
Crypto trading signal bot
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)
Equities Pair Trading/Statistical Arbitrage and Multi-Variable Index Regression
An interactive visualization of per-tick liquidity for BTC-PERP on FTX
An awesome list of agents specialized for financial data analysis
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
Nautilus_Trader_Jerry_fall_2023 is a customized verision of Nautilus trader by Zhuoran "Jerry" Li on Fall 2023
A Go implementation of algorithm trading tool inspired by PyAlgoTrade
Welcome
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
Systematic Trading | 系统化、量化交易
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