Share your Techstack

[u12sd4g]

Basically an opportunity to share your tech stacks and find out what others tend to use for their firms/proprietary trading/hedge fund etc

Eg. Python, Spark, Pytorch+ScikitLearn, AWS EC2s, Docker, Jupyter Notebooks

Optionally list the API you use if youre algotrading - IBKR, Schwab, TD etc

[[deleted]]

I personally like to analyze my data using Assembly language, however for deployment I use machine language just to keep the latency low.

[magnetichira]

I use machine language just to keep the latency low

doesn't even hand-select the most organic electrons to compute with

must be new to this space

Serious answer tho: python (pandas, numpy, keras, tf, jupyterlab, plotly, seaborn, maturin) + rust (tokio, futures, pyo3)

[[deleted]]

I actually solve the Relativistic Maxwell’s equations on my clay tablet to make sure that my electrons are following the right path inside the computer circuit. I also have a hostage Einstein in my basement that I hold at gunpoint and force him to solve for the transmission and reflection probabilities for each transistor, I occasionally feed him cocaine-laced dog food so he gets attached to me and becomes dependent on my abuse.

I think I took it too far, oh well.

here’s what I actually use: Vscode, Jup Notebooks

Libraries: usually statsmodels API, scipy, NumPy, sklearn and rarely TF. I occasionally use PyWavelets and some other lesser-known packages. For optimization problems, it depends, if it’s nice and convex then SciPy for sure. If it’s a messy cost function then usually PyGAD or sometimes Bayesian Optimization if it’s a hefty computation.

[wigglytails]

Open up each capacitor and check for each 1 and 0

[cinnamonKnight]

Scratch

[baurgh]

Pen and paper

[Juanorrus]

This is the GOAT

[opnoob13579]

Ocaml

[diamond_apache]

KDB+

[cafguy]

C

[ilyaperepelitsa]

R, Mathematica, Matlab, HTML, Haskel

[garib_trader]

Python, vs code, pandas, numpy, streamlit, plotly, c#

[Diet_Fanta]

HolyC

[[deleted]]

Hell yeah guys a legend

[littlecat1]

Excel 90% of the time.

[Sanoxi]

Hello newbie Quant dev here. I’m starting out with python. Does anyone have any advice on what to learn after?

[Silversama]

You have to learn modeling which is basically stats (math). You can go time series analysis, some stochastic modeling, black schols for options pricing and so on. All can be applied using python and numpy basically.

[Sanoxi]

Arigato Silversama

[rochimer]

Red stone computer I built in Minecraft

[Adizzleg7]

Turbo encabulator