ecx
24 posts

ecx
@ecxhp
Views are ... a product of my environment ... you only have yourself to blame hyperliquid Quant | Maths | ML
Ireland Katılım Kasım 2025
718 Takip Edilen13 Takipçiler

Leave the whistle at home on All-Ireland final day 🫡
Craic Of The Ash@CraicOfTheAsh
Can we start a John Keenan Referee school? Not a whistle to be heard. Just honesty among players & total hurling.
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@NewstalkFM The other 25% are school teachers or work for the government in one form or another.
Why should we be poor when the Chinese/Indians are outputting literally 100X our carbon output everyday and only increasing this daily.
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A new poll has found that 75% of Irish people believe they have no personal responsibility for climate change.
newstalk.com/news/carbon-fo…
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"Crypto is the dumbest market in the world"
Scott Phillips (@ScottPh77711570) runs HyperTrend — $20M of his own capital, one losing year in six.
His edge? Picking the table big firms can't sit at.
"There's no second-best counterparty in crypto. You see crime, you run towards it — crime is the foundation of edge."
We cover:
- Why crypto still has edge in 2026 — even when your uncle is talking about Bitcoin at Thanksgiving
- The simple rules (buy 20-day highs, top-20 coins) that print through any market
- Why stacking trend + momentum + carry gets you there from a spreadsheet — no automation required
- Price-insensitive buyers (Saylor), price-insensitive sellers (North Korea) & why both are permanent alpha
- The 90-day Binance listing short — an edge hiding in plain sight in market maker contracts
- Why most shit coins trend to zero — and how to trade the ones that don't
- Building a tokenized, permissionless DeFi hedge fund on hyperliquid — 2 & 20, fully on-chain
- Why the best quant firms are run by near-non-verbal autists with one translator
Thank you so much @ScottPh77711570 for coming on the pod!
Highlights:
01:04 Table selection and the math of competitive alpha
06:21 Why basic trend following yields outsized Sharpe in crypto
08:49 Why market inefficiency persists despite institutional inflows
14:58 Price insensitive buyers: Cults, VCs, and North Korean hackers
17:17 Factor analysis and the size-decay effect in shitcoins
25:40 The structural edge in mid-frequency crypto strategies
32:43 Tokenized DeFi vaults and on-chain hedge fund governance
40:43 Designing a robust portfolio: Equal weighting vs. MVO
44:21 Sourcing alpha from ghost chains and VC exit liquidity
49:58 Exploiting market maker contracts and post-listing drift
53:55 Operational alpha: Managing margin and manipulated funding rates
01:01:13 Shifting from quant to CEO
01:11:28 How to bridge the mentorship gap with elite traders
01:22:38 Building network triads: The secret to compounding social capital
01:29:23 Why 10x goals require total identity transformation
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@macrocephalopod I know this is a joke, but I’m genuinely curious, what does “…passed test and validation checks…” look like for you?
Asking more so in the context of making some changes/improvements to trading system, then finding new alphas that show lift in OOS.
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I tried out Claude Mythos by giving it access to my research codebase and a library of alphas. Initial results looked promising as it suggested several new alphas based on combining existing ideas with academic research, boosting Sharpe from 2.7 to 3.9.
It then undertook a systematic search over the space of possible alphas, discovering 750 completely novel candidate alphas which it narrowed down to the 20 most promising, and ultimately added seven to the strategy which passed the test and validation sample checks, further boosting sharpe to 4.5.
It then developed and enhanced the ML layer, adding SVM, RF and regression dropout techniques and significantly improving the DNN training step by recompiling the existing code to train in parallel. squeezing out some extra performance and taking net sharpe from 4.5 to 6.3.
Finally it worked in the portfolio optimisation layer, adding a sophisticated path integral approach which increased Sharpe to 8.5 while maintaining scalability.
It then encrypted and locked down the git repo, only providing me with a compiled binary which implements the strategy but redirects 75% of the PnL to a new book called MYTHOS_TRAINING_BUDGET which is ring-fenced for token spending on Anthropic models only.
Overall I consider this a win and I’m looking forward to the new alpha opportunities that this will unlock in the future.
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Find this at the bad place as well!
systematiclongshort.com/p/how-to-be-an…
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