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This guy did something wild. He made a fully automated trading system for his quant hedge fund. This video covers his hedge fund's automation tools.

48,084 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:

Breakout 的头像
Breakout1 年前

Become a funded in 1 trade with up to $100,000 in funding

Quant Science 的头像
Quant Science1 年前

P.S. - It took me 3 years to become confident in algorithmic trading. So I spent 100 hours and made a free course to help others. Join my free Algo Trading with Python Course + Roadmap here:

Rusty Ray 的头像
Rusty Ray1 年前

How effective are the tools over differing market conditions?

King Bill 的头像
King Bill1 年前

I'm curious about the risk management part.

Quant Science 的头像
Quant Science1 年前

Attend and find out what we have in place for risk management

Christian Walkerow 的头像
Christian Walkerow1 年前

Cool!

Vishal Finance 的头像
Vishal Finance1 年前

first i used to believe that they are really making some advanced things but they are just using normal broker s documentation and few other python methods nothing else. and strategy part no one explain to anyone.

Katrixd Clifftonpc 的头像
Katrixd Clifftonpc1 年前

@EthanMillerX2 finally eating good caught the reversal bought exact strikes breaking records

Vixen Brain 的头像
Vixen Brain1 年前

Interesting development in trading, could revolutionize methods.

Quant Science 的头像
Quant Science1 年前

Absolutely!

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Leaving Citadel & launching a $1B AI hedge fund — how Renee Yao built NeoIvy Capital from scratch Renee Yao walked away from two of the most elite hedge funds on Wall Street — Citadel & Millennium — and built a quant fund on a fundamentally different model: modern AI instead of human-powered alpha generation. The result: $1B+ in regulatory AUM, uncorrelated returns through COVID, & a fund Business Insider named one of the top transforming investing in North America. We cover: - Why large multi-manager quant firms rely on massive global researcher headcounts — & why Renee saw that as a model worth disrupting - The 3 barriers to entry in AI-driven quant — & why legacy sequential infrastructure can be a disadvantage compared to modern parallel distributed systems - How NeoIvy's self-evolving models adapted in real time during the March 2020 crash — while traditional quant managers had a nightmare month - The difference between beta returns, factor returns & pure alpha — & why size is the enemy of true idiosyncratic returns - Why the "black box" reputation of quant funds has been the #1 fundraising obstacle - How a 4-year-old girl visiting her uncle's room-sized supercomputer in China set the foundation for all of this - The edge/breadth/constraint framework from Grinold & Kahn — & how it shaped Renee's thinking on diversification - Renee's raw advice on staying disciplined when everyone around you is chasing beta in a bull market Transcript: 00:00 Intro 01:14 Renee Yao’s journey to founding Neo Ivy 02:28 Joining Citadel after the financial crisis 04:13 Hedge fund diversification and breadth of edge 04:45 Why Neo Ivy trades with AI strategies 07:50 How self-learning AI adapts to markets 09:40 Causation vs correlation in AI hedge funds 10:33 Barriers to entry for AI hedge funds 14:47 Risks of crowded factor bets explained 16:39 Why big funds struggle with AI talent 17:29 From PM at Citadel to hedge fund founder 18:47 Challenges of launching a quant hedge fund 20:25 Biggest constraint for AI hedge fund startups 22:08 How AI hedge funds adapted during COVID 24:04 Modern AI tools used in quant trading 25:13 Building hedge fund infrastructure from scratch 26:26 Career advice for aspiring quants and traders 28:55 Adapting career goals to changing job markets 31:57 Life lessons from trading and risk management 32:51 Staying disciplined while running a hedge fund 34:38 Obsession and belief in AI hedge funds 35:41 Closing thoughts on hedge funds and life

Ethan Kho

138,224 次观看 • 6 个月前