backtestingmofo
backtestingmofo on Hacker News
Re:Ask HN: Anyone designs financial engineering tools as a hobby?
on Thursday May 17, 2018 @12:56PM (#17093070)
I'm a software engineer and I developed trading algorithms just by playing around and visualizing data. Once you have historical data, technical indicators and a simple back tester, you can test some trading strategies and get feedback quickly. Graphing the output of your tests to analyze the annual return over time also helps a lot to design algorithms.
I have limited financial knowledge but I would recommend reading about technical analysis and technical indicators (This one is short and sweet https://www.investopedia.com/university/technical/) just so you can grasp the basics.
Re:Ask HN: Anyone designs financial engineering tools as a hobby?
on Thursday May 17, 2018 @09:27AM (#17091077)
Oh nice! I will give this a try
Re:Ask HN: Anyone designs financial engineering tools as a hobby?
on Thursday May 17, 2018 @09:25AM (#17091068)
I have been using Questrade for a while (I’m from Canada) but they are closing their API so I will have to switch to Interactive Broker...
My algorithms are mainly swing/long term, so making a few trades a month. I like to trade and back test ETFs like SPY and SPXL since they have high volumes and are more easy to « predict ».
I started with 10k and it didn’t feel risky at all since it was post 2009 :)
Re:Ask HN: Anyone designs financial engineering tools as a hobby?
on Thursday May 17, 2018 @09:01AM (#17090921)
I’ve been writing algorithmic trading software and back testers as a hobby for a couple years now, and what surprises me most is how it is possible to have decent profits without mad financial skills. The trick is good quality data and a couple spare hours a week! A rooky mistake I have made is losing too many days trying to hack myself a good source of data, so I can only recommend paying a few bucks for a reliable one. You can definitely have a good time (while making money) with basic swing trading algorithms and a bunch of historical end of day data like https://www.gourgane.io