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@leaferle

London, England Katılım Ağustos 2011
354 Takip Edilen137 Takipçiler
Uri
Uri@leaferle·
pixel universe madness > bunch of claude agents based on real profiles > agents meet, collaborate and hack in the parallel pixel universe
palcu@AlexPalcuie

this weekend at the @aiengine_hack I got to pick the best project built with Claude @Hrdlickas, @ask_joon and @leaferle made a pixel office where every participant spawned as a Claude agent, grounded in their actual bio then they started making friends and working together

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Uri@leaferle·
So happy to win @SuperteamUK 's @solana track and @wormhole track for AI Agent's Hackathon @encodeclub for my project XchainGPT. An agentic crosschain defi operator in a ChatGPT-like interface 🙂
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Uri@leaferle·
These Apple genAI pictures look eerily like me
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degentrading
degentrading@degentradingLSD·
1/n - Why Deribit might be in trouble - As usual, get out unnecessary balances
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Uri@leaferle·
MST can also be used to identify different sectors or industry groups. Check out the Blog post hudsonthames.org/networks-with-… to see how to customise and visualise your own MST using the mlfinlab network tools.
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Uri@leaferle·
@VPervushyna Thank you so much! :) I'd love to read yours as well
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Uri@leaferle·
Minimum Spanning Tree of stocks shrink during crises (such as 1987, early 2000's and 2008). Here is summary of my blog post on how Covid-19 affected the MST of 48 stocks... 👇
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Uri@leaferle·
Here's the blog post on the full analysis of Covid-19 impacts on the MST and how you can create your own visualisations using the mlfinlab package. hudsonthames.org/networks-with-…
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Uri@leaferle·
The Covid-19 related decline has shrunk the MST. Despite much of the prices of stocks having recovered to pre-decline levels, the market (based on the above stocks) has become increasingly correlated post-decline compared to the pre-decline period.
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Uri@leaferle·
@StuartReid1929 @VPervushyna @hudson_thames @JacquesQuant @IllyaBarziy The graph nodes represent stocks, and the edges represent the distance (indicates how correlated the stock returns are). Then it reduces the graph to the minimum edges needed to connect all nodes without creating any loops (Minimum Spanning Tree) 🙂
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Valeriia Pervushyna
Valeriia Pervushyna@VPervushyna·
I'm excited to announce that my module on StatArb officially became a part of @hudson_thames new version release! The apprenticeship has been a great experience thanks to @JacquesQuant and @IllyaBarziy so far, but we're not done yet. Blog post coming soon!
Hudson & Thames@hudson_thames

MlFinLab version 0.13.0 is released: + 2 new Labels + Synthetic Data Generation + Minimum Spanning Trees with interactive visualizations + Optimal entry and exit solutions based on the OU model (stat arb) + Optimal Transport Distance And much more! linkedin.com/posts/hudson-t…

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Uri@leaferle·
Excited for the mlfinlab network visualisation tools to be out in the new version release! It allows you to easily create Minimum Spanning Tree visualisations given stock price data @hudson_thames
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James Clear
James Clear@JamesClear·
Most goals are borrowed. Borrowed from friends and family. Borrowed from coworkers and peers. Borrowed from society. This year, may your goals be your own. If nothing else, may 2020 be the year of thinking for yourself.
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@jason
@jason@Jason·
Apple needs to put a product person in charge & stop being the company that sucks margin from their loyal base of increasingly frustrated users. They can manage the iPhone / smartphone decline, or they can buy innovative startups, it’s that simple cnbc.com/video/2019/09/…
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Balaji
Balaji@balajis·
Three things I think could be combined: - a social network - a cryptocurrency - a collaborative tool, like Google Docs++ This would combine people, money, and a tool to create value in one place.
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Uri@leaferle·
@TheChuChu_ Not always in my opinion. It’s often easier to analyse others than yourself because it’s difficult to assess yourself rationally- easier from 3rd person perspective.
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ChuChuTrain
ChuChuTrain@TheChuChu_·
The most fascinating person to be curious about is yourself. You can meticulously analyze your own mind in ways that you can't do to someone else's. This means that you're the only person in the world that can truly understand yourself.
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