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The Quant Nomad has over 6 years’ experience in the quantitative trading industry (15+ years in programming). He has helped more than 200 traders and companies create/optimize their algorithmic trading models
Using Multiple Datasets in Backtrader’s Strategies
Quite often, when you work on advanced strategies only prie is not enough for you. You might want to use correlations between stocks, sentiment data,
Optimizing Strategy Backtesting in Python with Backtrader
Pretty often strategies you backtest have quite a lot of parameters and it’s pretty hard to find out which parameters work the best. Of course,
Running a Massive Backtest on 1M Bars in Python with Backtrader
Python is a very powerful language for backtesting and quantitative analysis. You’re free to use any data sources you want, you can use millions of
Getting Historical Bars from Binance API with Python
Binance is of the popular crypto exchanges on the market and a lot of people trade on it. It’s important to use historical data to
An Easy Way to Compute Portfolio Performance in R for Stocks and Crypto
Portfolio Performance in R for Stocks Portfolio Performance in R for Crypto