High frequency trading: Am I ready to use QuantLib, Ruby or Python for ultimate profitable market quant strategies?
After careful consideration, it looks like I am ready to do the ultimate in quant development. I plan to merge the front end power of open high performance algo trading platform with the open source library I have supported. The push is on.
The integration between the two technologies looks easy but that could be another hairy. The front end is typically built on Java and Eclipse. From there, I can then develop my market strategy is any rapid application development language. There is the choice of Python or Ruby but this platform only supports Ruby. Also, Ruby’s syntax is quite small to develop very easy strategies unlike something written in Java. It would take ages. I do believe this is one advantage this platform and methodology would bring over an investment bank or bulge bracket.
Also, the cool thing about this platform it enables me to execute multiple strategies at once in multiple sessions. It easily allows me to scale up and intelligently execute as many strategies I want. I am sure there are limits to this but it seems that I won’t reach them with my limited hardware. Hey, if I make the billions I am sure I could easily purchase a few more servers. It may not matter at that point as more successful individual traders are moving towards FPGA which is entirely hardware based. We are talking right on the processor which is pretty scary and futuristic at the same time. I am sure you could look that up on Google yourself.
Anyhow, this is an exciting time but I will reach my limits of:
1. No budget for a live market feed now. I guess I need to find a simulator to back test.
2. Beef up my quant skill set incredibly to take advantage of any future unknown and potential profitable strategies.
As it stands, these seem to be my current limitations for now.NOTE I now post my TRADING ALERTS into my personal FACEBOOK ACCOUNT and TWITTER. Don't worry as I don't post stupid cat videos or what I eat!