Experimental scenario analysis for real-life events forecasting with Codex or Claude

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'.

High-performance C++ matching engine with unified market simulation, live market data streaming, and a browser-based dashboard

End-to-end RL trading framework with PPO agent, self-attention neural network, custom Gym environment, and advanced backtesting.

Rust Market Simulation Library with a Python API

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"

A simple GUI for bristol stock exchange a minimal simulation of a limit order book financial exchange

Interactive crypto market simulator that demonstrates how news, panic, and investor psychology can affect price movements.

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.

Market exchange simulator with order book matching logic and latency analysis for backtesting trading strategies against historical tick data.

Prediction-market agent arena for AI agent evaluation, paper trading, practice rounds, contests, and leaderboard-based battle testing.

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