Hi Monkeys,
I recently caught the quantitative finance bug so it’s been a few days since my last post. Since catching this bug I’ve been trying to read and learn as much as I can on ways to practice quant finance - and I found tons of material. In fact, it’s so much material that I was hoping to hear your thoughts on where to start or what to attack first.
Below are list of the resources I was able to dig up along with what I consider to be their key features...for anyone who is in the same boat as me at the moment, I hope you find these useful.
Datacamp.com * Quantitative Analyst with R career track
Quantopian * Access to multiple datasets which you can use immediately with Python along with a tutorial on how to get started
Coursera * Library of courses taught by universities which may or may not be specific to finance
Sentdex * Free videos that teach Python for finance covering topics like Monte Carlo Simulations or Machine Learning for Forex trading
Codecademy * Intro course to learn the basics of Python
Codeschool * Another intro course to Python
O’Reilly: Python for Finance
* Book that teaches Python specific to Finance.
From the research I’ve done so far it seems like I need to make two choices...Python or R. And after deciding on a programming language, I also need to decide on which resources to devote my time to.
So my question to you...
**Which language should I pick to learn and what resource do you recommend? Or do you recommend going a whole other route? **
For some context, I'm looking to eventually apply this via a trading algorithm that is based on fundamental factors. The term "quantamental" comes to mind...I think I read that somewhere. Not sure if it's a thing.
