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

344,440 views • 1 year ago •via X (Twitter)

11 Comments

Quant Science's profile picture
Quant Science1 year ago

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:

MicroSectors's profile picture
MicroSectors3 years ago

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

Dan O’Leary's profile picture
Dan O’Leary1 year ago

@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

Quant Science's profile picture
Quant Science1 year ago

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

Crypto Steve's profile picture
Crypto Steve1 year ago

Or you could just buy and hold bitcoin and out perform

naturesgood4u's profile picture
naturesgood4u1 year ago

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

💰 Esto, Track record en bio's profile picture
💰 Esto, Track record en bio1 year ago

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.

0xdavid's profile picture
0xdavid1 year ago

lmao massive larper

Mark Byteberg's profile picture
Mark Byteberg1 year ago

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

Ronan Titan's profile picture
Ronan Titan1 year ago

Wouldn't this pose essential security risks?

Noe Hyperstream's profile picture
Noe Hyperstream1 year ago

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

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