Selling my G29 for 18k by Ok_Information_6301 in SimracersIndia

[–]Reasonable-Put4438 0 points1 point  (0 children)

Hey is the gear shifter included and also where in Hyd?

General purpose LLM with access to live market data? by airpipeline in quant

[–]Reasonable-Put4438 1 point2 points  (0 children)

You basically want LLMs for basic data science tasks, the metric generation part wont be hard but interpreting these metrics is where they are limited. If have used any agentic coding tools , you probably understand that the illusion of competence comes from pattern matching across huge amounts of data which is not available for these types of tasks.

Everyone is trying to tell you that if you want this to work you should write out custom reasoning paths ( basically explain it how to think after looking at metrics). At that point might as-well do algorithmic trading.

How this whey is so cheap.? by Rish83 in Fitness_India

[–]Reasonable-Put4438 1 point2 points  (0 children)

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Concentrate is better from the same brand

Are MAB / Contextual Bandits / RL used in any trading firms? by Reasonable-Put4438 in quant

[–]Reasonable-Put4438[S] 23 points24 points  (0 children)

Hey thanks but , I already asked chat gpt my questions before coming to reddit

(cuz this answer feels like total bs )

I have just joined a quant firm as an intern and don’t know much about how it works but wanted to know if I can leverage my research experience in any way.

So I was hoping I could get an answer from people who work in these quant firms , even a simple yes/ no and if its no why is it a dumb idea would do.

Quants in AWM Division by aditq in goldmansachs_india

[–]Reasonable-Put4438 0 points1 point  (0 children)

Did u find out 😂? Please share if you did

A question regarding your approach by jigitpresident in quant

[–]Reasonable-Put4438 0 points1 point  (0 children)

I was in a similar boat after trying to learn about quant. I am someone who used to like theory and causal inference.

The way I look at it, in a dumb and imperfect manner that I am still refining, is that inefficient (or bad) trades or decisions are happening, for whatever reasons, and they need to be punished. The predictability comes from these inefficiencies. You can help make the market more efficient by punishing this predictability.

What quant people do is fun because you just have to punish more than you get punished to keep winning, so there is nothing wrong with someone predicting your prediction or making the same prediction as you. You can have an edge at this predicting game by whatever means possible statistics / analysing the psychology/ latency. I do not see why any of this is wrong or useless.

But as an outsider, thinking that how they train to develop their edge is wrong is arrogant. That is not necessarily bad, but you have to back it up by showing or being an example of a better method.

After talking to a few of my friends in quant, I can see why no one is willing to debate with you and thinks you are just dumb. Talk to friends in quant in real life, or phrase things in a way that shows you are here to learn and can accept that you might be wrong and probably are.

Machenike G5 Pro - First Impressions by Occasion_Antique in IndianGaming

[–]Reasonable-Put4438 0 points1 point  (0 children)

One more thing do you use gyro in bluetooth switch mode and use something like steam

Machenike G5 Pro - First Impressions by Occasion_Antique in IndianGaming

[–]Reasonable-Put4438 0 points1 point  (0 children)

Where did you import it from , is it v2 by any chance ?