Jane Street

Vibe-Trading is an open-source AI personal trading agent and quantitative-finance research workspace developed by HKUDS. It turns natural-language finance questions into runnable analysis and backtesting workflows by connecting an agent to market-data loaders, portfolio and backtesting engines, report generation, persistent memory, and multi-agent research teams across asset classes. Its quantitative and risk-analysis capabilities include strategy backtesting, Heston stochastic-volatility pricing, hierarchical risk parity, copulas, and market-microstructure estimators. The project provides API and MCP interfaces, broker and market-data connectors, portfolio-management and broker-authorized trading workflows, examples, documentation, a demo, and a Shadow Account for testing. It supports read-only account sources such as official IBKR MCP and opt-in Binance USD-M snapshots, while scheduling actions require explicit confirmation and live-order safeguards fail closed on contradictory or invalid data. Implemented as a Python project, it uses a connector onboarding system that stores connection secrets in the operating-system keyring and is distributed under an open-source license.

TheirStack is a web-based market intelligence platform that identifies companies by their technology stacks and hiring signals. The service aggregates technical usage and recruiting data to help teams find and target prospects; the site states it tracks about 33,000 technologies and 231 million job postings.

TradingAgents is an open-source, multi-agent LLM financial trading framework developed by TauricResearch for research. It models a trading firm through specialized agents: fundamental, sentiment, news, and technical analysts produce market assessments; bullish and bearish researchers debate those assessments; a Trader Agent proposes the timing and size of a trade; and risk-management and portfolio-management agents evaluate and approve or reject it before execution on a simulated exchange. The framework uses LangGraph and can be run through an interactive CLI, Docker, or as a Python package via the TradingAgentsGraph class and its propagate function. It accepts market and ticker inputs, analysis dates, configurable research depth and debate rounds, and LLM backends including hosted providers, Ollama, and other OpenAI-compatible servers. It gathers financial, market, news, macroeconomic, and social-sentiment data, and supports persistent decision logs and optional LangGraph checkpoint recovery. TradingAgents is intended as a research scaffold rather than financial, investment, or trading advice. Results can vary with the language model, sampling settings, data sources, analysis period, and other nondeterministic factors.

Claude for Financial Services is an Anthropic repository of reference agents, skills, slash commands, and data connectors for investment banking, equity research, private equity, fund administration, wealth management, and related financial-services workflows. Its named agents cover tasks such as pitch-deck preparation, market research, earnings review, financial modeling, valuation review, general-ledger reconciliation, month-end close, statement auditing, and KYC screening. The components can be installed as Claude Cowork or Claude Code plugins, or deployed as Claude Managed Agents through the Anthropic API. Agents bundle workflow-specific skills; vertical plugins provide reusable skills and commands such as comparable-company analysis, DCF and LBO modeling, Excel auditing, earnings analysis, diligence checklists, and investment-committee memo drafting. Centralized MCP connectors link the skills to external financial-data and document providers, subject to each provider's subscription or API-key requirements. The repository also includes managed-agent cookbooks, deployment and validation scripts, partner-authored plugins, and tooling for provisioning the Claude Microsoft 365 add-in. It is file-based, using Markdown, YAML, and JSON without a build step, and is distributed under the Apache License 2.0. The repository states that its agents draft work product for qualified-professional review and do not make investment recommendations, execute transactions, bind risk, post to a ledger, or approve onboarding.

Jungle Scout is a company and software platform that provides Amazon market intelligence and seller tools for brands, retailers, and financial services. It offers data and analytics on market trends, 1P/3P sales insights, and product optimization to support sourcing, listing, and competitive research.