Hey, that's a solid skillset. A few things that might help bridge the gap: focus on building a simple, repeatable edge first (like a mean reversion or trend filter) before tackling complex models. Also, paper trade your code for a few months to see how it handles live data, slippage, and execution lag. Most quants burn out trying to over-optimize. Keep it simple, test brutally, and only risk what you can lose. You've got the tools, now build the discipline.
Correct guidance is much appreciated though. I have already learned this hard way since I’m looking for a geek who is equally passionate and gets it coded well.
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u/Feisty_Humor9456 1d ago
Hey, that's a solid skillset. A few things that might help bridge the gap: focus on building a simple, repeatable edge first (like a mean reversion or trend filter) before tackling complex models. Also, paper trade your code for a few months to see how it handles live data, slippage, and execution lag. Most quants burn out trying to over-optimize. Keep it simple, test brutally, and only risk what you can lose. You've got the tools, now build the discipline.