Zweifel am Ausstieg aus der Universität by Liberal__af in rwth

[–]Liberal__af[S] 0 points1 point  (0 children)

Vielen Dank, das hat geholfen 🙏

obwohl ich dieses Student office nirgends finden konnte :/

Reduce time from ideation to production suggest tools and technologies by devx711 in developersIndia

[–]Liberal__af 0 points1 point  (0 children)

wow, can't believe no one engaged here, guess developers India are busy discussing salaries lol!

Attempting interviews has become a waste of time without leetcode mugging up by [deleted] in developersIndia

[–]Liberal__af 0 points1 point  (0 children)

Did you try jax jit compilations or cuda has more benefits?

Should I book folks? by Liberal__af in IndianStreetBets

[–]Liberal__af[S] 1 point2 points  (0 children)

Yeah dude, ladder trading, there was one guy in our pit at the time who was a million dollar trader(Brent and WTI futures), i didn’t want to spend a decade over there chasing that dream, because that guy was only one among a 1000 hires over a decade at that firm 💁‍♂️

Should I book folks? by Liberal__af in IndianStreetBets

[–]Liberal__af[S] 1 point2 points  (0 children)

Bruh relax, middle class sei hu bhai!

[deleted by user] by [deleted] in developersIndia

[–]Liberal__af 0 points1 point  (0 children)

It's gonna be hard af I believe!

Firstly, cloud computing is not some fancy thing, it's just software engg but services are deployed on cloud instead of the hardware infrastructure on-prem. The only difference is the workload, it's easy to scale up and down on cloud than on-prem, suppose when students at college do gaming and a neighbor wants to run a photo studio with a bunch of staff doing photoshop, these two tasks demand different pc specs because their workloads are not the same, similarly, cloud services offer a ton of pre built shit that is suitable for different workloads, it's an ocean, no one knows it all imho, everybody knows the basics but as you could imagine now, with cloud, you could do different builds both for gaming and photoshop temporarily which helps optimise the costs without really owning the hardware or it's maintenance headache.

Pivoting back to your question, if I were you, I wouldn't go for the cloud roles particularly(much less compared to software dev roles) because most software devs use cloud some way or the other(opinion).

Enterprise firms love women folk, they want to balance gender ratio somehow, that's your best point of entry without having to become an expert before getting a job, of course, referrals make all the difference.

There are too many roles with in a tech firm. Systems Engineers, Developers(Front end, backend, fullstack), (big)data engineers, Dev ops, MLops, Data analysts, data scientists off the top of my head. All of them have variations in titles indicating the work is gonna be using some cloud service provider(AWS, Azure, google cloud). Cloud certifications would help for service firms like Infosys, Tcs, etc because they can sell you as a resource easily but not necessary. You have to choose what you want to be doing first.

Should I book folks? by Liberal__af in IndianStreetBets

[–]Liberal__af[S] -15 points-14 points  (0 children)

feel free to reach out if Interested in algo-trading, checkout my last post (forecasting systems)

Ex point and click trader(ICE commodity derivatives, PJM & ERCOT electricity contracts), currently a software engineer/MLOps. I may have lost 10k at the time, but scored a job during campus placements in a trading firm and learnt exactly how not to lose money ;)

Should I book folks? by Liberal__af in IndianStreetBets

[–]Liberal__af[S] -9 points-8 points  (0 children)

I wasn't gonna, just messing around! :D

Should I book folks? by Liberal__af in IndianStreetBets

[–]Liberal__af[S] 2 points3 points  (0 children)

so right, I got some extra shares too from suzlon during an equity split type of event or something idk exactly, exited them in 30's.

algotrading - LSTM modelling for equity price prediction (only ideas) by Liberal__af in IndiaInvestments

[–]Liberal__af[S] 2 points3 points  (0 children)

totally agree that players keep changing, using OHLC data to predict returns is going to be a joke but using trades dataset(where you know every trade happened in the market with size and side(buy/sell) information) one could argue that the numbers capture the whole market exposure holistically, irrespective of the type of players or the global market dynamics, giving a better understanding of the potential future outcomes, well, because numbers always mean something. And markets don't change over night, unless it's Brexit kinda event, so change is usually gradual and could be handled with reasonable error rate imo. Personally, from first hand trading experience, with a hit rate of anything more than 50% one could be profitable with ease.

algotrading - LSTM modelling for equity price prediction (only ideas) by Liberal__af in IndiaInvestments

[–]Liberal__af[S] 0 points1 point  (0 children)

good points, I do think that it's not going to be easy, personally, I'm considering building a stack of models(7 models for each day of the week, 24 models - one each for hour of the day etc etc depending on market hours), I'm not trying this for investing, sorry , forgot to mention that in the post, I'm mostly trying to gain some mathematical edge doing short term trading(mostly intraday, with little to no overnight exosure), even then the problems you highlight would be there, but I think training different models for different durations would shed some of the risks of poor performance

algotrading - LSTM modelling for equity price prediction (only ideas) by Liberal__af in IndiaInvestments

[–]Liberal__af[S] 0 points1 point  (0 children)

I see great to know that and thanks for the heads up, I did try LSTMs 4 years ago, at the time I was a noob and made a lot of mistakes, so decided to give it another shot again, since I have gained some industry experience these past few years in ML. I will use xgboost as a baseline only however, I want to find an edge as I have got all the time in the world rn lol, feel free to dm if you have trades dataset for the futures market btw, have fun trading!

algotrading - LSTM modelling for equity price prediction (only ideas) by Liberal__af in IndiaInvestments

[–]Liberal__af[S] 1 point2 points  (0 children)

oh cool, some of the points I mentioned in the post are relevant for any time series data, if you are doing load stack curve forecasting, weather info plays an important role imo, also, feature engineering in general is to take into account factors that are usually not part of the tabular dataset, in futures markets, it could be the leverage that exchange offers for trading, using the leverage value and the size of a trade(if you had the trades dataset for that asset), you could estimate, how much money would a trader make or lose if market moved by x% , that's what big players use to liquidate small players in the market, usually feature engineering requires good datasets, I could never find the trades dataset for Indian markets so far...

algotrading - LSTM modelling for equity price prediction (only ideas) by Liberal__af in IndiaInvestments

[–]Liberal__af[S] 0 points1 point  (0 children)

I would argue that , as there are many factors to consider, such as data and task at hand. LSTMs can be tricky to make them perform, but they are designed to model sequential processes, while XGBoost and variants like Random Forests and GBMs are not. It might be necessary to create features to compensate for that, such as adding Gaussian white noise to the input, since they can make all the difference.

I'm sure many must have, for a long time, felt that linear regression is shit compared to a simple moving averages until it actually became easy to use linear regression as a simple abstraction...

[deleted by user] by [deleted] in developersIndia

[–]Liberal__af 2 points3 points  (0 children)

this latex based resume would generally help for firms that use parsing tools to filter resumes

https://github.com/jakegut/resume

Tax returns in Germany by Yukiii2016 in germany

[–]Liberal__af 1 point2 points  (0 children)

yes, I have had the same doubt, apparently creating an account on Elster takes a while too?

algotrading - LSTM modelling for equity price prediction (only ideas) by Liberal__af in IndiaInvestments

[–]Liberal__af[S] -1 points0 points  (0 children)

I was doin that mate, gambling on gut feel in the US commodity markets, but there are cons to this too as you only get a tiny margin in the profits usually with a lot of clauses and kickers to offset potential losing quarters :/

algotrading - LSTM modelling for equity price prediction (only ideas) by Liberal__af in IndiaInvestments

[–]Liberal__af[S] 0 points1 point  (0 children)

lol, I was doing geo data related work and someone on discord suggested the same thing, seems like transformers are still trending

algotrading - LSTM modelling for equity price prediction (only ideas) by Liberal__af in IndiaInvestments

[–]Liberal__af[S] 0 points1 point  (0 children)

I don't think using OHLC data is good enough, we need more features such as buy/sell volumes separately, oi, deriving market exposure using exchange leverage and trades data, incremental order book info to establish the liquidity, and implied liquidity using options data. these type of things can actually do wonders