This project is a financial terminal for quantitative finance.

The goal is for a command center to R&D and monitor algo trades. Ideally, the interface is no-interface where an AI agent does everything. In the interim, the interface is like a desktop environment with various applications.

Architecture

The application is structured as a desktopment environment with various apps that can be launched. Apps are implemented as self-contained JavaScript modules with access to some core "operating system" APIs. This surface is in flux and not thought about extensively yet.

Stock Server

There is a server written in Go which serves data about stocks. Currently, this is limited to OLHC.

The data is Parquet files generated from the ELT pipeline implemented at: https://github.com/varrockbank/equityzukan

Setup

Stock Server Data

The server expects parquet data in server/data/. You must populate this yourself:

cd server
ln -s /path/to/your/equity_table_extended data

Or copy your parquet files directly into server/data/.

Running the Server (Development)

cd server
go build -o server
./server

The server runs on http://localhost:8080 by default.

Building for Static Deployment (WASM)

For static hosting without a backend server, build the WASM module:

cd server
make static

This generates:

• server.wasm - WebAssembly module with embedded stock data
• wasm_exec.js - Go WASM runtime

Then set USE_WASM: true in server-service.js to use the WASM module instead of HTTP endpoints.