# Agentic Quant Studio > Agentic Quant Studio — An intelligent workspace for building autonomous AI agents in quantitative finance. Research, code generation, backtesting, and RAG-powered knowledge — all in one studio. - **Type:** MCP server - **Install:** `agentstack add mcp-wizard50-agentic-quant-studio` - **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior - **Seller:** [wizard50](https://agentstack.voostack.com/s/wizard50) - **Installs:** 0 - **Category:** [AI & ML](https://agentstack.voostack.com/c/ai-and-ml) - **Latest version:** 0.1.0 - **License:** MIT - **Upstream author:** [wizard50](https://github.com/wizard50) - **Source:** https://github.com/wizard50/agentic-quant-studio - **Website:** https://www.youtube.com/watch?v=V80_Kx98FMM ## Install ```sh agentstack add mcp-wizard50-agentic-quant-studio ``` Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent. ## About # Agentic Quant Studio A workspace for building agentic AI systems in quantitative finance. --- ## What exists today This repo is an **early-stage data platform**, not yet an agentic workspace. There is no chat, no RAG, and no backtesting engine in the codebase. What works end-to-end today: - **Warehouse** — Hive-partitioned Parquet, catalog scan, read/resample ([`crates/warehouse/README.md`](crates/warehouse/README.md)) - **Backend** — Axum API, jobs, catalogs, studies ([`crates/backend/README.md`](crates/backend/README.md)) - **Frontend** — Market Research + Data Management ([`frontend/README.md`](frontend/README.md)) - **Studio** — `GraphSpec` + runtime + indicator catalog ([`crates/studio/README.md`](crates/studio/README.md)) - **MCP server** — stdio tools, resources (docs/schema/examples), and prompts for external agents over the backend API ([`crates/mcp-server/README.md`](crates/mcp-server/README.md)) The name reflects the **long-term vision** (see [Vision](#vision)); the implementation is focused on reliable market data, chart UX, and the graph spec foundation for indicators and strategies. ### MCP integration path The **MCP server** (`aqs-mcp`) exposes the backend (catalogs, graph validation, draft studies) over the [Model Context Protocol](https://modelcontextprotocol.io/), plus **resources** (`aqs://docs/…`, `aqs://schema/…`) for GraphSpec documentation and node-kind discovery, and **prompts** for common draft workflows. Host apps and external agents (Claude, Cursor, Grok, or anything else that speaks MCP) can drive the platform today—before an in-product agent exists—and remain a first-class alternative path once built-in agents land. **Demo:** [MCP walkthrough on YouTube](https://www.youtube.com/watch?v=V80_Kx98FMM) — external agent → GraphSpec draft → accept in Market Research. Other tools and data sources can meet AQS at the same API surface. Agent-authored studies land as drafts the user accepts in the Market Research UI. Setup and tools: **[`crates/mcp-server/README.md`](crates/mcp-server/README.md)**. --- ## Current features ### Frontend Two pages: **Market Research** (`/`) — LW Charts candle view with catalog-driven indicators; **Data Management** (`/data`) — ingest, datasets, jobs. The chart uses a **layer document → compiled `ChartBlockSpec` → studio run** pipeline. Indicator metadata comes from `GET /catalog/indicators`; the UI hydrates a runtime registry on load. Details — architecture, components, datafeed, tests, dev setup: **[`frontend/README.md`](frontend/README.md)** --- ## Backend & data HTTP API at `/api/v1` (candles, catalogs, jobs, studio runs). Ingestion uses an in-process job queue; candles live in local Parquet (Bybit only today). Details — endpoints, curl examples, jobs, config: **[`crates/backend/README.md`](crates/backend/README.md)** Warehouse layout, catalog, resampling: **[`crates/warehouse/README.md`](crates/warehouse/README.md)** ## Studio Declarative **`GraphSpec`** + validate/execute runtime. Powers `POST /studio/runs` and `GET /catalog/indicators` (via `IndicatorCatalog` + `chart_defaults`). Details — spec types, built-in nodes, examples: **[`crates/studio/README.md`](crates/studio/README.md)** --- ## Tech stack | Layer | Stack | |-------|--------| | Backend | Rust, Axum, Tokio | | Studio | Computation graph spec (`GraphSpec`); runtime WIP | | Jobs | In-process queue + worker (not Redis/Sidekiq) | | Warehouse | Parquet, Polars, custom catalog | | Frontend | Next.js 16, React Query, Zustand, shadcn/ui, Lightweight Charts, Vitest | | Agents / hosts | MCP server (`aqs-mcp`) over backend HTTP; in-product agents later | **Not in the repo yet:** in-product agent/chat (e.g. Rig), RAG, backtesting, MLOps. --- ## Getting started ```bash git clone https://github.com/wizard50/agentic-quant-studio.git cd agentic-quant-studio ``` ### Backend ```bash cargo run -p backend ``` Config and API examples: **[`crates/backend/README.md`](crates/backend/README.md)** ### Frontend **[`frontend/README.md`](frontend/README.md)** — dev server (use a different port than the backend), chart architecture, `npm test`. --- ## Project structure ``` / ├── config/ # defaults.toml, example.toml ├── crates/ │ ├── api-client/ # exchange clients (Bybit) │ ├── backend/ # Axum API — see crates/backend/README.md │ ├── common/ # shared types │ ├── mcp-server/ # stdio MCP path — see crates/mcp-server/README.md │ ├── studio/ # GraphSpec + runtime — see crates/studio/README.md │ └── warehouse/ # Parquet + catalog — see crates/warehouse/README.md ├── frontend/ # Next.js UI — see frontend/README.md └── README.md ``` --- ## Vision Long-term goal: an intelligent workspace where users interact with AI agents (chat, later voice) to: - Run quantitative research and backtesting - Generate indicators, strategies, and dashboards - Use RAG on documents and private knowledge bases None of that is implemented yet as a first-party agent experience. The **MCP server** is already the open path for external agents and host apps, and is expected to stay as an alternative even alongside built-in agents (see [MCP integration path](#mcp-integration-path)). The current milestone remains **reliable market data ingest + catalogs + chart UX with dynamic indicators + `GraphSpec` foundation** for agent-composed strategies. --- ## License This project is licensed under the [MIT License](LICENSE). --- Built by [@wizard50](https://github.com/wizard50) ## Source & license This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code. - **Author:** [wizard50](https://github.com/wizard50) - **Source:** [wizard50/agentic-quant-studio](https://github.com/wizard50/agentic-quant-studio) - **License:** MIT - **Homepage:** https://www.youtube.com/watch?v=V80_Kx98FMM Install and usage instructions live in the source repository linked above. ## Pricing - **Free** — Free ## Security capabilities Automated source analysis of v0.1.0 — what this tool can access: - **Network access:** yes - **Filesystem access:** no - **Shell / process execution:** no - **Environment & secrets:** no - **Dynamic code execution:** no *"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.* ## Versions - **0.1.0** — security scan: passed — Imported from the upstream source. ## Links - Listing page: https://agentstack.voostack.com/l/mcp-wizard50-agentic-quant-studio - Seller: https://agentstack.voostack.com/s/wizard50 - Browse the marketplace: https://agentstack.voostack.com/browse --- Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.