Hi All,
About to change job over coming months (MBB to PE) - As I have quite some free time I would like to spend some of it learning more about "Quant Fund Strategies".
I have a background in mathematical engineering and ML so have the basics somewhat covered - However whenever I went looking online I only found basic guides and books e.g., how to use sentiment analysis, moving averages etc.... all too basic.
What I am more looking are some advanced examples of how some of the large quant funds have done it in the past (just as inspiration) - Would be great to learn about some profitable strategies from 5-10 years ago. Do such materials exist?
Also - Does anyone have some good resources on deep reinforcement learning in trading at the moment? That also seems an interesting topic!
Thanks!
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