Optimising the rsims package for fast backtesting in R
rsims is a new package for fast, quasi event-driven backtesting in R. You can find the source on GitHub, docs
rsims is a new package for fast, quasi event-driven backtesting in R. You can find the source on GitHub, docs
rsims is a new package for fast, realistic (quasi event-driven) backtesting of trading strategies in R. Really?? Does the world
It’s easy to lose money trading if you do certain things: Trade too much (paying fees and market impact on
If you have some factor that you think predicts future stock returns (or similar) and you are making charts like
Many beginner traders don’t realize how variable the p&l of a high-performing trading strategy really is. Here’s an example… I
I’ve been helping a family friend with his trading. I’ve given him a simple systematic strategy to trade by hand.
Broadly, there are three types of systematic trading strategy that can “work.” In order of increasing turnover they are: Risk
Earlier versions of Zorro used to ship with a script for converting market data in Zorro binary format to CSV.
Several years ago, I wrote about some experimentation I’d done with data mining for predictive features from financial data. The
I have been sharing examples of simple real-time trading research on my Twitter account. I do this kind of thing a
I’m a big fan of Ernie Chan’s quant trading books: Quantitative Trading, Algorithmic Trading, and Machine Trading. There are some
The S&P index committee recently announced that Tesla, already one of the biggest stocks listed in the country, would be