DUCKQUANT / THE QUANT & AI DIRECTORY
4,091 resources, ranked by in-directory PageRank
A lightweight, fully customizable financial charting library for global markets
High-performance financial charting library with Canvas/WebGL/WebGPU backends, 1–3ms GPU time per frame, plugin-based rendering, visual signal annotation, AI-native architecture. Seamlessly supports Vue, React, and…
Powerful financial charting library based on R's Quantmod | http://py-quantmod.readthedocs.io/en/latest/
Limit order book matching engine, exchange simulator, and event-driven backtester in Python
Deterministic, replicated spot exchange in Java: an allocation-free price-time matching engine (exchange-core port) on Aeron Cluster Raft, with exactly-once dedup, CQRS read replica, and…
Limit order book written in Rust
LOBCAST is a Python-based open-source framework for stock market trend forecasting using Limit Order Book (LOB) data. 🤖📈
High Frequency Analysis Based On Level-2 Data（Limit Order Book& Transaction Data)
An open source, high performance limit order book for the Seaport smart contracts. Implemented in Rust using ethers-rs, this offers a turnkey option for…
We release `LOBFrame', a novel, open-source code base which presents a renewed way to process large-scale Limit Order Book (LOB) data.
Feature engineering of a Limit Order Book. Extraction of features from a LOB in order to analyse the behaviour of trade market.
BSE is a simple minimal simulation of a limit order book financial exchange
Context: Supporting material for the paper "Guidelines for Building a Realistic Algorithmic Trading Market Simulator for Backtesting while Incorporating Market Impact" What it does:…
Ethereum fee market simulator for testing variants and alternatives to EIP-1559
Open Source Cryptocurrency Market Simulator
Stock market simulator written in Python.
The Travel Market Simulator project aims at providing reference implementation, mainly in C++, of a travel market simulator.
A stock market simulator to serve as the core for lots of demos
An online stock market simulator built using Django.
Investa is a full-stack stock market simulator providing real-time trading data.
A power market simulator for day-ahead, intraday and balancing markets in pure Python.
🥬 A stock market simulator for AI agents. Experience the life of a retail investor.
Backtest trading strategies or train reinforcement learning agents with an event-driven market simulator.
modeling the behavior of stock markets: create a market simulator, technical indicator, and a strategy that generates orders
javascript port of bazaarBot - A simple free market simulator engine.
Reinforcement learning agent based electricity market simulator
An online stock market simulator built using Django.
Simple Market Simulator implementation for HFT stress testing
🌐 Documentation on the WorldQuant BRAIN market simulator and explicit examples of alpha signals.
Track your investments, asset allocation, and financial analytics in one privacy-focused dashboard. Easy setup and direct downloads.
Track your investments, asset allocation, and financial analytics in one privacy-focused dashboard. Easy setup and direct downloads.
Track your investments, asset allocation, and financial analytics in one privacy-focused dashboard. Easy setup and direct downloads.
Track your investments, asset allocation, and financial analytics in one privacy-focused dashboard. Easy setup and direct downloads.
