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

344,440 görüntüleme • 1 yıl önce •via X (Twitter)

11 Yorum

Quant Science profil fotoğrafı
Quant Science1 yıl önce

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 profil fotoğrafı
MicroSectors3 yıl önce

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

Dan O’Leary profil fotoğrafı
Dan O’Leary1 yıl önce

@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 profil fotoğrafı
Quant Science1 yıl önce

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

Crypto Steve profil fotoğrafı
Crypto Steve1 yıl önce

Or you could just buy and hold bitcoin and out perform

naturesgood4u profil fotoğrafı
naturesgood4u1 yıl önce

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

💰 Esto, Track record en bio profil fotoğrafı
💰 Esto, Track record en bio1 yıl önce

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 profil fotoğrafı
0xdavid1 yıl önce

lmao massive larper

Mark Byteberg profil fotoğrafı
Mark Byteberg1 yıl önce

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

Ronan Titan profil fotoğrafı
Ronan Titan1 yıl önce

Wouldn't this pose essential security risks?

Noe Hyperstream profil fotoğrafı
Noe Hyperstream1 yıl önce

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

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