Finny
Claude Code for Financial Markets
Finny launched on April 15, 2026 with 1 votes, #8,101 of 21,248 launches that month.
What it does
Build, backtest, and iterate on trading algorithms using natural language. A CLI tool powered by AI for generating Python trading strategies.
Finny is the AI-native financial harness for professional investment teams, connecting research, code, backtests, and execution inside infrastructure they control.
Your edge is not one answer. It is the chain of theses, code, backtests, reviews, and execution decisions that came before it. The thesis remained intact, but the latest backtest crossed the desk's drawdown gate after the volatility update. Version 17 reduced exposure, and the approved order executed at 14:07. Finny connects the models you trust to the research, data, backtester, and execution systems you already own. The result is one private layer that gets more useful with every workflow. Researchers work in the terminal. Reviewers work in the browser. Finny carries the same context between them so every decision adds to the next one. Start from the shell without starting from scratch.…from finnyai.tech
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LangAlpha – what if Claude Code was built for Wall Street?Apr 2026 · github.com · ▲148Some technical context on what we ran into building this. MCP tools don't really work for financial data at scale. One tool call for five years of daily prices dumps tens of thousands of tokens into the context window. And data vendors pack dozens of tools into a single MCP server, schemas alone can eat 50k+ tokens before the agent does anything useful. So we auto-generate typed Python modules from the MCP schemas at workspace init and upload them into the sandbox. The agent just imports them like a normal library. Only a one-line summary per server stays in the prompt. We have around 80…
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