daniel3303/Equibles — An open-source, self-hosted mini Bloomberg Terminal for AI agents — SEC filings, institutional holdi…

Description and use

**Brief Summary (2‑3 sentences)**
Equibles is an open‑source, self‑hosted mini Bloomberg Terminal that aggregates SEC filings, institutional holdings, insider trades, congressional transactions, and short‑interest data into a single stack. Built primarily in C#, it offers APIs/SDKs and a CLI for AI agents and developers to query and automate market‑research workflows. With a modest star count and recent updates, it is positioned as a prototype‑grade tool for internal trading‑system research and back‑testing.

**Value Proposition**

• **Unified market data source:** Pulls together regulatory and short‑interest data that would otherwise require multiple subscriptions, reducing cost and integration effort.
• **AI‑ready interface:** Exposes the data through programmatic endpoints (API/SDK/CLI), making it easy for language models or custom agents to ingest and act on real‑time filings.
• **Rapid workflow automation:** Enables users to script monitoring, alerting, and back‑testing pipelines without building a data‑ingestion layer from scratch.

**Practical Adoption Path**

1. **Evaluation:** Clone the repo, run the Docker compose (or the provided installer) to spin up the stack locally; verify data coverage via the CLI or sample API calls.
2. **Prototype Integration:** Connect your trading‑system or AI agent to the API, map required data fields (e.g., filing dates, holder IDs) to your internal models, and develop a small proof‑of‑concept (e.g., an insider‑trade alert bot).
3. **Security & Compliance Review:** Conduct a license audit, scan the container images for vulnerabilities, and ensure any personally identifiable information is handled per your policy.
4. **Scaling:** Deploy the stack on a dedicated VM or Kubernetes cluster, enable caching/replication for high‑frequency queries, and add monitoring (Prometheus/Grafana) for uptime.
5. **Production Hardening:** Implement backup/restore for the underlying database, set up role‑based API keys, and integrate with your CI/CD pipeline for automated updates.

**Production Readiness Assessment**

• **Maturity:** Medium. The project is actively maintained (last commit 2026‑06‑23) and has a modest community (163 ★, 17 forks), but it lacks extensive enterprise‑grade testing and formal SLAs.
• **Dependencies:** Primarily C#/.NET with Docker support; ensure compatibility with your runtime environment and keep the .NET runtime patched.
• **Risk Considerations:** No major licensing or security red flags identified yet, but a formal review of the open‑source license and a vulnerability scan of the container images are required before production use.
• **Suitability:** Ideal for internal prototypes, research labs, or as a data‑feed component in a larger trading platform; additional hardening is needed for mission‑critical, customer‑facing deployments.

Problem

daniel3303/Equibles helps research and automate market workflows.

Outcome

Medium: useful for prototypes or internal workflows, with dependency and maintenance checks before production.

Workflow

• research trading systems
• backtest strategies
• monitor market workflows

Evidence

An open-source, self-hosted mini Bloomberg Terminal for AI agents — SEC filings, institutional holdings, insider trading, congressional trades, and short data from a single self-hosted stack.

Source