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This guy literally just shared the code for his hedge fund's algorithmic trading strategy live:

344,440 Aufrufe • vor 1 Jahr •via X (Twitter)

11 Kommentare

Profilbild von Quant Science
Quant Sciencevor 1 Jahr

It uses three libraries: • QSConnect: Build your quant research database • QSResearch: Research and run machine learning strategies • QSWorkflow: Automate the end-to-end process • Omega: Execute trades with Python Get the system:

Profilbild von MicroSectors
MicroSectorsvor 3 Jahren

Are you a sophisticated investor that is bullish on big tech stocks? Learn more about $BULZ here:

Profilbild von Dan O’Leary
Dan O’Learyvor 1 Jahr

@pyquantnews shared the code with tell-tale signs that it was generated by an LLM - gemini pro 2.5 loves to use numbered step comment lines exactly like what is in this code. I don’t have an issue with that, but to pass it off as special sauce is… questionable

Profilbild von Quant Science
Quant Sciencevor 1 Jahr

P.S. - Want to learn Algorithmic Trading Strategies that actually work? I'm hosting a live workshop. Join here:

Profilbild von Crypto Steve
Crypto Stevevor 1 Jahr

Or you could just buy and hold bitcoin and out perform

Profilbild von naturesgood4u
naturesgood4uvor 1 Jahr

if he shared it live that means it's garbage otherwise he'd guard it with his life

Profilbild von 💰 Esto, Track record en bio
💰 Esto, Track record en biovor 1 Jahr

Why not: 1-Create the actual Edge Fund 2-People will invest in the fund, due to the big returns 3-Charge the 2-20% on profits It have much more sense than, selling a dificault to understand course for people rarely will use the skill, if they can learn.

Profilbild von 0xdavid
0xdavidvor 1 Jahr

lmao massive larper

Profilbild von Mark Byteberg
Mark Bytebergvor 1 Jahr

Sharing that code directly could raise concerns about market manipulation rules. Impressive transparency, nonetheless.

Profilbild von Ronan Titan
Ronan Titanvor 1 Jahr

Wouldn't this pose essential security risks?

Profilbild von Noe Hyperstream
Noe Hyperstreamvor 1 Jahr

Sharing proprietary code publicly poses both ethical and security concerns for professional settings.

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