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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Sample application to demonstrate Google ADK and A2A interoperability. For informational purposes only.
| Date | Stars |
|---|---|
| 2026-07-31 | 251 |
| 2026-08-05 | 251 |
| 2026-08-06 | 251 |
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# Agentic Trading Simulator [](https://www.python.org/) [](https://github.com/google/adk-python) [](LICENSE) This project demonstrates an agent-based trading system simulation featuring distinct agents for trading logic and risk management, communicating via the Agent-to-Agent (A2A) protocol. It includes a web-based simulator UI to configure, run, and visualize trading strategy performance. **Disclaimer:** ⚠️ This application is intended for **educational and demonstration purposes only**. It does not constitute financial, investment, legal, or trading advice. Trading involves significant risk, and you could lose your entire investment. **Do not use this application for actual trading decisions or with real money.** Use at your own risk.  ## Features - **Modular Agent Architecture:** Separates concerns into distinct services: - **AlphaBot:** Implements a trading strategy (Simple Moving Average - [SMA crossover](https://en.wikipedia.org/wiki/Moving_average_crossover)) and proposes trades. Built using the [Google Agent Development Kit (ADK)](https://google.github.io/adk-docs/). - **RiskGuard:** Evaluates trade proposals from AlphaBot against configurable risk rules (max position size, max portfolio concentration). Also built using ADK. - **Simulator UI:** A [FastAPI](https://fastapi.tiangolo.com/)-based web application to configure simulation parameters, run the simulation, and visualize results using [Plotly](https://plotly.com/python/). - **Agent-to-Agent (A2A) Communication:** Leverages the open [A2A protocol](https://github.com/google/A2A) for standardized, interoperable communication between the AlphaBot and RiskGuard agents. This allows agents built with different frameworks (like ADK in this case) to discover capabilities and interact securely. - **Configurable Simulation:** Adjust parameters for market conditions (initial price, volatility, trend), trading strategy (SMA periods, trade quantity), and risk rules. - **Portfolio Tracking:** Simulates portfolio changes (cash, shares, total value) based on executed trades. - **Visuali
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Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
Not classified yet. Classification runs as part of npm run ingest.