ʀᴇᴅ ᴏᴀᴋ retweeted
A trader who’s compounded at 60% a year with a Sortino over 2 on why he refuses to compete with the pods on their timeframe:
Joe Walsh is the Founding Partner of hedge fund Code Partners.
Joe Walsh explains:
“The first thing I think about is time horizon.”
“I don’t want to be valuing a security on a three to six month timeframe where I’m competing against a very well-resourced, motivated person inside one of these firms with way better corporate access, way better short-term information, proprietary data sets.”
“You’ve got to pick your time horizons to be avoiding very good players. You’ve got to pick your sectors where all the pods who used to do that have been shut down and all the investors have given up.”
“The game selection aspect is running away from competition, and that’s where greater inefficiency by definition lives. There are huge pockets of that in the equity market today.”
“If you think you’re going to have a huge edge trading European industrials on a three-month timeframe, I would politely disagree.”
“We have huge edge in timeframes greater than 12 months, in sectors and markets that are just not as competitive. It’s not worth their time, when they’re running $100 billion levered multiple times, to muck around in names with $10, 20, 30 million a day of liquidity.”
“The capacity I could run money with is very attractive, to single digit billions, and still have a huge edge and still remain very liquid.”
"Take advantage of volatility. Don't get taken advantage of by it. The last thing you want is to be the guy stopped out at the low."
Joe Walsh is the Founding Partner of hedge fund Code Partners.
Personal track record: 60% annualized with a Sortino over 2.
"The expected value of buying a stock at 100 on a certain day and 100 on a different day, they're not the same."
We cover:
- Pods run equity books at up to 8x GMV, credit at 10–15x, vol-targeting with centralized stops. "Volatility targeting is not profit maximizing," and their forced selling is his entry
- Why he runs no portfolio leverage in normal times and preserves the balance sheet for when vol erupts, then puts 20–25% of the book in a truly exceptional situation
- The right side of the V: buying at 100 on the way down and at 100 after the bottom are not the same trade, because only one has a defined stop
- Liberation Day: financial conditions worse than the 2011 Eurozone crisis, PM sentiment worse than 2008, and why that read as a bottom
- Poker and trading are both games of missing information, and the winning players who never make it have the wins but not the bankroll management
- Game selection: you have to increase your edge faster than the market becomes efficient, which means running away from competition
- Time horizon is game selection: don't price a stock on 3–6 months against a PM with better corporate access. His edge is 12+ months in sectors where the pods got shut down
- Passive is a price-indiscriminate buyer, and market-cap weighting makes it a momentum trade: from 6% of flows to over half
- Why two investors who both made 100% on the same stock took wildly different risk. The early alpha is the best alpha (bought Palantir at a $20B EV, sold too early)
- The AI trade: 40% of S&P earnings, data-center landlords at teens yield-on-cost trading at single-digit cap rates, and gigawatt delivery missing by 25% as the risk to consensus
- Industry structure as the biggest edge: power-shell players at $1M/MW that went to $7–8M, and the offshore-wind value chain where one installation-vessel company became the monopolist of the profit pool
Highlights:
00:00 Intro
01:10 What poker teaches you about trading: missing information and bankroll management
06:04 Game selection: avoiding passive flows and the pods
13:34 De-grossing events: SVB, the yen carry blowout, Liberation Day
21:01 Dry powder: how much to deploy when volatility erupts
27:32 Reflexivity: why a windfall tax belongs in your bull case
35:08 Underwrite the downside first, then size the upside
41:53 The right side of the V: why 100 is not always 100
48:39 When to put 25% of the book in one name
51:18 Why shorts get hard limits and far smaller sizing
56:24 New sectors nobody knows how to value: space and SpaceX
01:01:42 Tesla, Palantir, and why early alpha is the best alpha
01:11:24 The AI trade: hyperscaler CapEx, power constraints, where the asymmetry is
01:21:40 Industry structure: mapping profit pools in offshore wind and AI power shells
ʀᴇᴅ ᴏᴀᴋ retweeted
Having Claude build me a smart home Mac tool and my biggest takeaway is to never give anyone WiFi access to my home ever again
ʀᴇᴅ ᴏᴀᴋ retweeted
🔍 Search & Fetch APIs are now open to everyone!
Powered by our in-house search engine, serving hundreds of millions of requests daily worldwide.
💰 Each endpoint: $0.75 per 1,000 calls.
📖 Docs: api-docs.deepseek.com/guides…
📌 Search & Fetch calls via server-side tools in DeepSeek Harness, Claude Code, and Codex are currently free for DeepSeek API users. Billing starts Oct 31, 2026, at 16:00 UTC.
3/4
ʀᴇᴅ ᴏᴀᴋ retweeted
FINALLY found how my key got leaked and got the $90,000 bill from google
Opus 5.5 said codex had PUBLISHED MY ****ING .ENV TO CLOUDFALRE PAGES ‼️
Meanwhile codex couldn't find anything, refused to explain itself and flagged my chat for cybersecurity risk lol
ʀᴇᴅ ᴏᴀᴋ retweeted
Corporate logic is eight senior managers meeting to discuss the work while the one person who’s actually going to do the work isn’t invited.
ʀᴇᴅ ᴏᴀᴋ retweeted
‼️ The Arch Linux drama continues: an account uploaded at least 15 fake copies of yay, Arch Linux's popular package helper, with malware in their install scripts.
A scan of one, yyay, shows it pulling code from a Russian git host and running it as root.
ʀᴇᴅ ᴏᴀᴋ retweeted
If you're building a coding agent harness, give your agent this paper and let it figure out how to improve itself.
arxiv.org/pdf/2609.20804
ʀᴇᴅ ᴏᴀᴋ retweeted
🚨 CHINA JUST OPEN SOURCED AN OCR THAT EATS 100 PAGE PDFS IN ONE PASS
It’s called Unlimited OCR. Only 3B params. Runs locally.
Every other OCR tool chops your doc into pages and loses the thread. This one reads the whole thing in one continuous pass.
→ One shot full context parsing (32K context window)
→ Multilingual out of the box
→ 93% on the standard parsing benchmark (6 points over baseline)
→ Under 0.11 error rate past 40 pages
→ Runs 100% locally on your own hardware
→ Works with Transformers, vLLM, SGLang, Docker, Ollama, llama.cpp
Traditional cloud OCR (Textract, Google Vision, Azure Doc Intelligence) costs $1.50 to $15 per 1,000 pages.
This runs on your machine. For free. Forever.
Baidu built it explicitly to push DeepSeek OCR one step further. Already at 1.9M downloads on Hugging Face and most people have no idea it exists yet.
100% open source.
ʀᴇᴅ ᴏᴀᴋ retweeted
Reverse engineered my AC, and vibe coded a lil status bar app so I don't have to find the remote every time.
No first world problem will remain unsolved in 2026.
ʀᴇᴅ ᴏᴀᴋ retweeted
BINGO, GAME OVER SONOS
💣🔊🤯
Kneel before value-priced Chinese models with zero scruples.































