Future Content Related to Python Backtester

Although I haven’t blogged in two months, the time has come to give an update on the long-sought-after option backtester.

As it turns out, I met a guy through a trading website who has been programming for decades. He’s a Python expert! He’s had a few different fits and starts with regard to trading and investing over the years, but he recently hit true retirement and thankfully has an interest in working with me to develop the trade backtester about which I have written much in the past.

In the last 18 months, I have taken a closer look at some automated backtesters on the market. In particular, I have researched eDeltaPro, getVolatility, and CMLviz TradeMachine. I did a detailed review about the latter. In coming posts, I will publish my findings on the other two. I really want our backtester to be something beyond what is currently available and to achieve that, we need to identify what has already been done.

This software will not be for commercial use. I am quant- and statistically-minded and looking to combine basic strategies to see how they fit together. The level of complexity will far surpass what introductory traders need. With regard to advanced retail traders out there who have studied and/or possibly developed some of these multifaceted approaches on their own—well, I don’t personally know any, as alluded to in the sixth paragraph here.

I don’t want to start a software company where I would be required to offer tech support.

I don’t really want to be an investment advisor selling my employer’s products.

I don’t really want to go into trader education: that’s a whole other industry of its own and would detract from my main focus.

As mentioned in the third paragraph here, I do want to remain on the quant-related course I have been following.

After reviewing the other two software solutions mentioned above, I will focus on some YouTube content I have been perusing. Videos are available on a wide variety of trading subjects. Some have captured my interest with regard to backtesting methodology. I will analyze these in a manner similar to this lengthy blog series in an attempt to gain a broader perspective on how we may go about backtesting different approaches.

Finally, I will start reviewing some Python concepts that will be integral to the backtester as a way to solidify my own personal understanding of the language.

Coming attractions, y’all!