Multi Agent System Architecture For Federal Funds Target Rate Prediction
by chirindaopensourceEnd-to-End Python implementation of "FedSight AI" multi-agent system for Federal Funds Target Rate prediction (NeurIPS 2025 Workshop). Simulates FOMC deliberations using LLMs with Chain-of-Draft reasoning and In-Context Learning. Integrates structured macro indicators with unstructured narratives (Beige Book, Dot Plots).
Multi Agent System Architecture For Federal Funds Target Rate Prediction is an open-source ai agent by chirindaopensource, written mainly in Jupyter Notebook, with 12 GitHub stars and the MIT license. Its code was last updated Jan 3, 2026.
Scan summary: scanned Nov 5, 2026 at commit 2817f0f. No capabilities flagged by our checks. Scan policy
What Multi Agent System Architecture For Federal Funds Target Rate Prediction can touch
- Our checks did not find this. The tool may still do it.Run shell commandsNot seen in this scan
- Our checks did not find this. The tool may still do it.Run dynamic codeNot seen in this scan
- Our checks did not find this. The tool may still do it.Read or write filesNot seen in this scan
- Our checks did not find this. The tool may still do it.Read environment and secretsNot seen in this scan
- Our checks did not find this. The tool may still do it.Control a web browserNot seen in this scan
- Our checks did not find this. The tool may still do it.Connect to databasesNot seen in this scan
- Our checks did not find this. The tool may still do it.Read or send messagesNot seen in this scan
- Our checks did not find this. The tool may still do it.Touch money or tradingNot seen in this scan
- Our checks did not find this. The tool may still do it.Connect to the internetNot run in this scan
"Not seen" means our checks did not find it, and the tool may still do it. Covers commit 2817f0f, Nov 5, 2026. See the scan policy.
Before you install Multi Agent System Architecture For Federal Funds Target Rate Prediction
AgenticMart scanned Multi Agent System Architecture For Federal Funds Target Rate Prediction on Nov 5, 2026 with automated checks for hidden code, known-malicious packages, leaked secrets and vulnerable dependencies. The result covers one commit under our scan policy, so review what access you give it and check any advisories shown here.
What it can access
- An AI agent decides its own next steps and calls whatever tools you give it, so its risk depends on the access you grant.
- Based on its description and topics, it likely needs to touch financial accounts or data.
Before you install
- Never give it live trading or payment keys until you've read the code.
- Pin the version you reviewed instead of always installing the latest release.
- Read the tool list or scripts before the first run, and keep approval prompts on for actions that write, send or delete.
- Maintained by chirindaopensource on GitHub, 12 stars and 2 forks. Popularity is not proof of safety.
- Last code change: Jan 3, 2026.
- Open-source license: MIT.
Multi Agent System Architecture For Federal Funds Target Rate Prediction is an open-source ai agent by chirindaopensource, written mainly in Jupyter Notebook. End-to-End Python implementation of "FedSight AI" multi-agent system for Federal Funds Target Rate prediction (NeurIPS 2025 Workshop). Simulates FOMC deliberations using LLMs with Chain-of-Draft reasoning and In-Context Learning. Integrates structured macro indicators with unstructured narratives (Beige Book, Dot Plots).
At a glance
- Stars
- 12
- Forks
- 2
- Language
- Jupyter Notebook
- License
- MIT
- Created
- Jan 2026
- Last update
- Jan 3, 2026
- Type
- AI Agent
- Price
- Free
Topics
Questions about Multi Agent System Architecture For Federal Funds Target Rate Prediction
What is Multi Agent System Architecture For Federal Funds Target Rate Prediction?
End-to-End Python implementation of "FedSight AI" multi-agent system for Federal Funds Target Rate prediction (NeurIPS 2025 Workshop). Simulates FOMC deliberations using LLMs with Chain-of-Draft reasoning and In-Context Learning. Integrates structured macro indicators with unstructured narratives (Beige Book, Dot Plots).
Who maintains Multi Agent System Architecture For Federal Funds Target Rate Prediction?
Multi Agent System Architecture For Federal Funds Target Rate Prediction is maintained by chirindaopensource on GitHub (chirindaopensource/multi_agent_system_architecture_for_federal_funds_target_rate_prediction). AgenticMart lists it from public repository data.
Is Multi Agent System Architecture For Federal Funds Target Rate Prediction safe to use?
AgenticMart scanned Multi Agent System Architecture For Federal Funds Target Rate Prediction on Nov 5, 2026 with automated checks for hidden code, known-malicious packages, leaked secrets and vulnerable dependencies. The result covers one commit under our scan policy, so review what access you give it and check any advisories shown here.
What license does Multi Agent System Architecture For Federal Funds Target Rate Prediction use?
It is published under the MIT license.
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