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Overview
Hey, I am Sidhant, currently a quant at Tower Research. Prior to this, I was: (i) a master's in CS at Stanford, (ii) a SWE at Citadel Securities, and (iii) undergrad at NUS.
News
Entropy stops this algorithm
Here is a weird way to prove that an algorithm terminates quickly. Say an algorithm repeatedly uses fresh random bits to repair violated constraints. A repair might violate another constraint, which the algorithm then repairs using more fresh randomness,
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When is randomness an asset vs a tax?
Click Activate above to run the code cells in this post. This post is a companion to the Sharpe post and is meant to dig deeper into scenarios where randomness helps vs hurts. Let's formulate a lot of real-world scenarios as: You get a random variable X,
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Granularity comes at a cost
I used to assume that more granularity in a system is usually a good thing. More price points, more time slots, more ways for users to express what they want, all of this sounds like efficiency. But two recent examples, one from financial markets and one
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What is Sharpe? Is it useful beyond finance?
Click Activate above to run the code cells in this post. This post covers the widely used, but often misunderstood Sharpe ratio. You must have heard this term in some finance / quant lingo: "Our strategy has a Sharpe of 2" or something like: "We don't run
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Dealing with randomness
This post is a reflection (can also be read as rant ) on my master's experience - internship hunting, securing funding, and the in-betweens. It attempts to acknowledge the noise and randomness in feedback loops I encountered during this experience. Note:
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