In thry, maybe we observe a particular asset tends to have two regimes, small mean reversion around trend, and messy chop, if we have a good model at identifying these regimes, when we trade the reversion one, couldnt this be a way to design an implementation? Sorry for all theQs
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1. How sure are you that there are really two regimes? Couldn't you just be seeing patterns where there are none? 2. Regime-based models need to be right twice -- first about which regime you are in, second your signal needs to work in that regime.
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Replying to @macrocephalopod @M1tchRosenthal and
Doesn't mean it can't work, but it's a hell of a lot easier to design your strategy so that you only need to be right about one thing to make money.
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Got it! :) my concern is that trades rooted in economic ideas might also need multiple things to work out (geopolitical participants, laws working the way you expect), and Im not savvy enough to know which econ rationales are legit and which are bogus lol.Any ML/stat books y dig?
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Nice! I need to revisit it. Last time I checked it out, I got overwhelmed by the symbolic math, it was hard for me to have intuitive sense of what was going on in each line. But I think the written part might give me a good sense of which techniques to use and when
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You may just need to learn more math. You could try "An Introduction to Statistical Learning" which is similar material but lower level of math. I also recommend "Introduction to Linear Algebra" by Strang and "Understanding Probability" by Tijms for linalg and prob respectively
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Excellent, looking forward to studying these. My final question today (promise) - is there a chance that a less sophisticated approach can be "good enough" for performing well? I know some traders who make a living, they measure intraday tendencies precisely, the stats arent 1/2
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At a major quant firm I used strategies any idiot could generate with excel or even a pocket calculator and held a 49% IRR over 5 years. The “sophistication” of the strategy isn’t important at all, but it’s a question of how blind do you want to be to other risk and analysis
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Replying to @InfoRatioed @M1tchRosenthal and
Simple works! Simple is good! Simple can avoid multicollinearity and noise amplification. But just be sure the simple thing is quality if imperfect proxy for the Thing you want
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Yup. Everything above is about how to determine whether a signal that you have looked at only in simulation will translate into real-world profits. The signal can be dumb as hell as long as the effect is real. Dumb is better in fact, less chance to overfit it!
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This makes me feel much better, have some creative signal ideas that are fairly simple, so I think my goal is to familiarize myself w those texts so I can test them as well as possible and get more confidence
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