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

344,440 次观看 • 1 年前 •via X (Twitter)

11 条评论

Quant Science 的头像
Quant Science1 年前

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 的头像
MicroSectors3 年前

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

Dan O’Leary 的头像
Dan O’Leary1 年前

@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 的头像
Quant Science1 年前

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

Crypto Steve 的头像
Crypto Steve1 年前

Or you could just buy and hold bitcoin and out perform

naturesgood4u 的头像
naturesgood4u1 年前

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

💰 Esto, Track record en bio 的头像
💰 Esto, Track record en bio1 年前

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 的头像
0xdavid1 年前

lmao massive larper

Mark Byteberg 的头像
Mark Byteberg1 年前

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

Ronan Titan 的头像
Ronan Titan1 年前

Wouldn't this pose essential security risks?

Noe Hyperstream 的头像
Noe Hyperstream1 年前

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

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