MomentumHunter
Agentic trading is new. Here's what people are trying.
What it does
Handing an AI agent a broker connection and a page of instructions is a genuinely new thing to be doing, and there's no canon for it yet. MomentumHunter is an open notebook of what people are actually trying — momentum, options, risk, and a growing set that parse public filings: STOCK Act disclosures from Pelosi, Crenshaw and Tuberville, 13Fs from Berkshire and Scion. Every prompt keeps full version history. Free to read and fork. Not advice, not signals — nothing here places a trade.
A public library of the written instructions people give their AI trading agents. Nobody writes a good one from scratch — start from one that exists. Not a broker; nothing here places a trade.
Nobody writes a good trading prompt from scratch. Start from one that exists. Your broker connects your agent to the market. We’re where the instructions come from. Community-written and unverified. Educational only — never investment advice. What we’re not You are my morning market assistant. Every trading day before the open, using only the data I connect you to: 1. List the 5 stocks on my watchlist that moved most in the last week, up or down. 2. For each one, say in a sentence what happened — earnings, news, or no clear reason. 3. Flag anything with earnings in the next 5 days. 4. End with one line: what changed since yesterday. Do not recommend trades. Do not place orders. If you are…from agentictradingprompts.com
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Life & fun · Aug 2026 · toneyalexander.github.io
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
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