Tradefloor

Tradefloor is a local-first financial research desk and scenario lab for Claude Code and Codex.

Tradefloor is an open financial research desk and scenario lab that lets users freeze events, challenge assumptions, fork runs, and keep score. It combines deterministic market tools with agent research roles, using Python to compute probabilities, validate decisions, and score defined outcomes. The software is designed for financial research and supports user-selected models, bounded research sessions, and inspectable forecast adjustments in a local workspace. Users can bring their own research models by saving model IDs, API base URLs, and connection protocols for OpenAI-compatible chat completions, Anthropic messages, and local Ollama or LM Studio servers. It also integrates with Claude Code and Codex via plugins, skills, and Model Context Protocol tools. The platform supports importing text, Markdown, HTML, and text-based PDFs, alongside SEC/ALFRED connections and daily CSV history.

Tradefloor at a glance

Best for: Software engineer, Researcher
Runs on: Web, macOS, Windows, Linux, CLI, API, self-hosted, open source
Pricing: Free
Released: October 2026
Category: AI coding tool
Website: github.com/himanshuj16/tradefloor

Key features

Freeze an event and challenge assumptions
Fork runs and compare branches
Compute probabilities with Python
Connect OpenAI and Anthropic compatible models
Import UTF-8 text, Markdown, HTML, and text-based PDFs
Export cited research reports in Markdown or HTML
Integrate with Claude Code and Codex via MCP tools

Use it for

Simulate an earnings or policy surprise
Run numerical direction forecasts
Conduct analyst research and bull/bear debates
Scan markets for intraday or pre-market candidates

Companions

Tools that articles about Tradefloor recommend using with it, each with its job.

Claude Code — Built to work with Claude Code.
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GitHub MCP Server — Reads pull requests, issues and code search on GitHub.

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