I have made a fair bit of changes to my personal investing in the last couple of years. Now, quants play a big part even in my long-term investing as well, especially in the idea generation phase and also sometimes in the entry/exit timing phase. So, the lines between all these silos are getting slightly blurry for me.
I have started using a lot more quant and a bit of machine learning to make sense of the market context. Getting help from my childhood friend who is a master in ML and data science.
I have started learning and dabbling with machine learning now (
I get bored doing the same thing and need something new every few years) and am hoping to see how it can be used in research and pattern recognition and simulation processes.
A broad objective in my mind is to be able to create a quantamental (Quant first followed by deep fundamentals) investing process and then use that and keep refining it over time. Fingers crossed 
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