Pi extension package for a sequential ML/algo-trading quant agent chain.
The Brain Layer for AI Trading Agents — composite quant calls across 5 exchanges (Hyperliquid, Binance, Bybit, OKX, Bitget), cross-venue arb, regime-aware classification, and a 20-skill catalog via MCP.
Quantum-resistant (ML-DSA-65 / FIPS 204) Account implementation for XYO Protocol 2.0
Deploy tools for QuantCDN
A Pulumi package for managing QuantCDN resources.
OpenAPI client for @quantcdn/quant-client
Bybit Quant MCP server for Claude Desktop, Claude Code, and Cursor. Trade and analyse Bybit V5 linear/inverse perpetuals, spot, options (Greeks + IV scanning), and TradFi (xStocks, stock & commodity perps) with market regime detection, OI divergence scann
Small, hand-written, composable modules for pi-agent — inspired by mini.nvim, focused on simple, predictable building blocks for coding agents.
[](https://nodei.co/npm/osr-quant/) ###How to use npm install osr-quant
The Quant-UX-CLI tool allwos you to generate code out of your Quant-UX designs. Create a design at http://v2.quant-ux.com and run the cli to generate, CSS, HTML and Vue.js code
One-stop quant-trading AI agent for any coding assistant — MCP server + CLI
Smart contracts for the Quant Protocol.
Quantum-resistant (ML-DSA-65 / FIPS 204) HD Wallet using BIP-85 entropy derivation for XYO Protocol 2.0
量投UI
Working crypto quant trading js
cds-quant
Luisa - The VUE LowCode Framework. Renderer FIGMA & Quant-UX designs in VUE applications. Turn your Figma or Quant-UX design into VUE, or create re-usable designlets
**`Quant Beat`** is a simple logger that wraps around [lugg](https://github.com/aexmachina/lugg "lugg") which is in itself, a simple wrapper around [bunyan](https://github.com/trentm/node-bunyan "bunyan") (a powerful logging framework). **`Quant Beat`**
KIS (Korea Investment & Securities) trading plugin for AI coding agents — strategy design, backtesting, and order execution via natural language
D3 library for quantitative analytics
Node-Quant is a powerful Node.js package for developing and testing quantitative trading strategies in cryptocurrency markets, offering tools for backtesting and performance analysis.
MCP server that exposes Mneme to Claude Code, Cursor, Continue, and other AI clients
Luisa - VUE Renderer for FIGMA designs. Turn your Figma or Quant-UX design into VUE, or create re-usable designlets
High-performance quantitative finance library with Rust FFI bindings for Bun
K-quantization formats (Q4_K, Q5_K, Q6_K) for GGUF/APR model weights
DEPRECATED: Use aprender-quant instead. Re-exports aprender-quant for backward compatibility.