DeepMarket is a framework for performing Limit Order Book simulation with Deep Learning. This is also the official repository for the paper 'TRADES: Generating Realistic Market Simulations with Diffusion Models'.
Experimental local-first scenario analysis for natural-language forecasting with Codex or Claude
High-performance C++ matching engine with unified market simulation, live market data streaming, and a browser-based dashboard
Rust Market Simulation Library with a Python API
End-to-end RL trading framework with PPO agent, self-attention neural network, custom Gym environment, and advanced backtesting.
A back-tester for testing stock trading strategies on historical data
MarketGPT: Developing a Pre-trained transformer (GPT) for Modeling Financial Time Series
Contingency Random Number Generator — numbers with controllable fat tails, volatility clustering, and scale convergence
{Frontend/Backend} Simulate stock trading and investment strategies with real-time data and portfolio management features.
SHS: Signal Herding Strength ABM for studying prediction-market signals and trader herding
SHS: Signal Herding Strength ABM for studying prediction-market signals and trader herding
Agent-based market adoption simulator with Bass diffusion model and JTBD analysis
Code for paper "Gradient-assisted calibration for financial agent-based models"
Interactive crypto market simulator that demonstrates how news, panic, and investor psychology can affect price movements.
A simple GUI for bristol stock exchange a minimal simulation of a limit order book financial exchange
Energy market backtesting framework for European power trading. Purpose-built for DA auctions and intraday continuous markets with 15-minute MTU support. Write once, run in backtest, paper, and live modes without code changes.
AHMAPPO_LLM is an AI trading system using ML and RL to predict stocks. It processes data via ingestion, cleaning, and feature engineering. The reproducible pipeline enables end-to-end trading strategy development. Important files - model trainer, builder, AHMAPPO AI agent building, etc. are in private repo to preserve originality.
bid/ask market engine
A hardened version of ABIDES-JPMC, with reworked API, configuration, and performance
Deterministic, Event-driven Core, with explicit risk management, Order & Intent state machines, and Queue semantics, aligning Backtesting and Live.
Add a description, image, and links to the market-simulation topic page so that developers can more easily learn about it.
To associate your repository with the market-simulation topic, visit your repo's landing page and select "manage topics."