Matthew@Public

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Matthew@Public

Matthew@Public

@BuildwithPublic

Director of API trading @Public Helping traders build better execution infrastructures on our API. Not financial advice.

HQ in New York Katılım Ekim 2025
2K Takip Edilen681 Takipçiler
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Matthew@Public
Matthew@Public@BuildwithPublic·
Just built a DCA bot in one conversation with @claudeai No code editor. No IDE. No deployment pipeline. Just natural language → live orders on my brokerage account. Here's how 🧵
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Matthew@Public
Matthew@Public@BuildwithPublic·
@ethanrkho Spoke with Kirk last week, this made so much sense. Even from a non-institutional perspective
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Ethan Kho
Ethan Kho@ethanrkho·
Ex-Point72 proprietary research head Kirk McKeown on what most people get wrong about measuring research quality: "You can't tie it back to returns." Every PM on the street is judged on three things: — Number of at-bats — Hit rate against those at-bats — Sizing against that hit rate Your research function has to create lift in one of those three. That's it. "You're not getting paid on the return. You're not getting paid on the at-bat. You're getting paid on the specific call." Separation of church and state keeps the research clean.
Ethan Kho@ethanrkho

Ex-Point72 Proprietary Research Head Kirk McKeown on building edge, alpha decay, & why everything that happened on Wall Street is about to happen on Main Street. Kirk McKeown (8.5 years @ Point72 under Steve Cohen | Built primary research at Glenview under Larry Robbins | Now founder of Carbon Arc @CarbonArcAI) "Alpha rewards those who value assets in a cold way. You want to get it right — not be right." We cover: - How alpha creation differs across multi-manager vs. concentrated shops - The 3 vectors every middle office function must move to justify its existence - Why he worked 6-hour Sundays from 2006-2020 — and the math behind it - The TSMC call that signaled semiconductor cancellations before anyone else knew - What the quant revolution on Wall Street tells us about the AI economy today - His framework: 4 market structures, 9 business models, & why they have rules - The MIT beer game & why every business problem is really an inventory problem - His hot take: a top hedge fund launches an enterprise AI lab in 2026 Highlights: 00:00 Intro 04:47 Tutor vs Glenview vs Point72: how edge differs 12:29 How to build “lift” for PMs: at-bats, hit-rate, sizing 18:44 Building research edge: outwork, read, fieldwork 27:16 Personal moat in 2026: analogs, history, decision trees 40:08 “Main Street becomes Wall Street”: what that actually means 44:30 Carbon Arc thesis: “decimalization” of data market structure 46:43 Why the edge migrates to data plus domain context 51:00 How to win in commoditized research: sample size beats anecdotes 01:03:26 Factorizing everything: themes, market structure, business models 01:08:37 Pruning decision trees: signals, scale points, inventory dynamics 01:14:18 Contrarian 2026 take: hedge funds launching enterprise AI labs 01:23:32 Final question: one habit to build career alpha

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Matthew@Public
Matthew@Public@BuildwithPublic·
@RouleurCapital It's a clearing firm limitation, but I will make sure to keep you in the loop once we can expand outside to non-US clients.
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Jason Luongo
Jason Luongo@JasonL_Capital·
BREAKING: Claude now has live access to real-time stock quotes and options chain data You can pull prices, scan option chains, check Greeks, and view your portfolio without leaving the chat Here's how to connect the (free) API step by step:
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Market Mommy
Market Mommy@dontbsalti·
This is how easy it is to vibe code a script for @tradingview What do yall think when I plug it in is it going to work???
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Matthew@Public
Matthew@Public@BuildwithPublic·
I'm releasing a complete prompt library for trading on @Public API agent skills- MCP, Openclaw, Perplexity. LLM agnostic. 55 prompts Part 1: Options Core (1–8) Part 2: Options Advanced (9–16) Part 3: Multi-Asset & High-Volume (17–28) Part 4: Active Trader Tools (29–38) Part 5: Institutional Tools & Fixed Income (39–48) Part 6: Execution Enhancement (E1–E7) Copy/Paste. Let it build in seconds and trade. Part 1 drops tomorrow. 🧵
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The Wheelie Investor
The Wheelie Investor@WheelieInvestor·
I asked my OpenClaw bot to give me the top market moving headlines of the day The use cases of this bot are endless Here are the top stories of the day:
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Matthew@Public retweetledi
Public
Public@public·
Sound familiar?
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Matthew@Public
Matthew@Public@BuildwithPublic·
@codeservativ We do this every Thursday, but I want to get more people on here can do them more frequently
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Matthew@Public
Matthew@Public@BuildwithPublic·
One of my models I've been following built on @public API- $QQQ deteriorating very hard here over past 9 trading days. -Score: -1.83 → -5.01, confidence 25% → 57% -Flow component: -2 → -12 (the standout) -Put/Call ratio exploded to 2.31 - institutions piling into puts -Unusual put flow $598M - not retail, that's systematic hedging Enormous amount of energy about to release..
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Matthew@Public
Matthew@Public@BuildwithPublic·
Just built a DCA bot in one conversation with @claudeai No code editor. No IDE. No deployment pipeline. Just natural language → live orders on my brokerage account. Here's how 🧵
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Matthew@Public
Matthew@Public@BuildwithPublic·
I'm building this into something bigger — but the point is: The barrier between "I have a trading idea" and "it's executing live" just collapsed to a single conversation. Public API + Claude MCP = the most accessible way to automate your portfolio. Want to try it yourself? • Get an @public API key from your Public account • Connect the MCP server in Claude • Start with something simple: "What's in my portfolio?" or "Get me a quote on AAPL" You'll be placing trades in minutes. This is the future of trading.
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Matthew@Public
Matthew@Public@BuildwithPublic·
Why this matters for builders: Traditional algo trading setup: → Learn the API docs → Write the bot → Handle auth, error handling, rate limits → Deploy somewhere → Monitor it MCP setup: → Connect the server → Tell Claude what you want → Review and confirm
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