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'.
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- Python
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market-simulation
Here are 34 public repositories matching this topic...
Rust Market Simulation Library with a Python API
python rust finance reinforcement-learning multi-agent fintech stock-market agent-based-modeling market-simulator limit-order-book multi-agent-systems agent-based-simulation agent-based-model reinforcement-learning-environments market-simulation
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- Rust
End-to-end RL trading framework with PPO agent, self-attention neural network, custom Gym environment, and advanced backtesting.
reinforcement-learning ai algotrading reinforcement-learning-algorithms trading-algorithms quantitative-finance attention-mechanism quantitative-trading backtesting trading-systems gym-environment reinforcement-learning-agent financial-machine-learning quantitative-research market-simulation stable-baselines3 ppo-algorithm
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- Python
A back-tester for testing stock trading strategies on historical data
simulator trading simulation stock-market trading-strategies trading-algorithms stocks market-simulator stock-analysis stock-trading market-simulation stock-simulator
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- Python
MarketGPT: Developing a Pre-trained transformer (GPT) for Modeling Financial Time Series
deep-learning gpt financial-data limit-order-book order-flow synthetic-data-generation market-simulation financial-time-series
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- Jupyter Notebook
{Frontend/Backend} Simulate stock trading and investment strategies with real-time data and portfolio management features.
gui-application java-swing user-registration stock-management stock-trading stock-market-simulator portfolio-management authentication-system market-simulation transaction-handling stock-price-simulation financial-simulator
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- Java
SHS: Signal Herding Strength ABM for studying prediction-market signals and trader herding
python abm agent-based-modeling solara market-simulation mesa-framework crypto-market-prediction-polymarket
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- Jupyter Notebook
Contingency Random Number Generator — numbers with controllable fat tails, volatility clustering, and scale convergence
python open-source finance monte-carlo quantitative-finance volatility stochastic-processes risk-management random-number-generator kurtosis market-simulation fat-tails
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- Python
SHS: Signal Herding Strength ABM for studying prediction-market signals and trader herding
python abm solara agent-based-model herding market-simulation mesa-framework crypto-market-prediction-polymarket
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- Jupyter Notebook
Agent-based market adoption simulator with Bass diffusion model and JTBD analysis
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- TypeScript
A simple GUI for bristol stock exchange a minimal simulation of a limit order book financial exchange
python finance gui trading stock-market tkinter algorithmic-trading limit-order-book financial-markets market-simulation
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- Python
Code for paper "Gradient-assisted calibration for financial agent-based models"
automatic-differentiation agent-based-modeling bayesian-inference normalizing-flows market-simulation
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- Jupyter Notebook
Interactive crypto market simulator that demonstrates how news, panic, and investor psychology can affect price movements.
finance simulator crypto trading blockchain investing cryptocurrency crypto-trading market-simulation market-behavior
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- JavaScript
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.
python agent machine-learning-algorithms prediction pytorch rl reproducibility multi-agent-systems ppo huggingface-transformers market-simulation heirarchical-reinforcement-learning llm gpt35
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- Python
A hardened version of ABIDES-JPMC, with reworked API, configuration, and performance
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- Python
Deterministic, event-driven Core, with explicit risk management, order state machines, queue semantics, and research orchestration.
python fintech event-driven quantitative-finance algorithmic-trading risk-management backtesting research-infrastructure trading-systems market-simulation deterministic-systems
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- Python
Financial market simulations combining stochastic models (GBM, Heston) with agent-based modeling. Explores price dynamics through different trader behaviors - fundamentalists, chartists, noise traders, contrarians, and institutional players. Built with Python for anyone interested in quantitative finance and computational economics.
python data-science monte-carlo jupyter-notebook fintech agent-based-modeling trading-strategies quantitative-finance algorithmic-trading financial-markets computational-finance financial-engineering stochastic-modeling volatility-modeling market-simulation
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- Jupyter Notebook
A functional reactive trading simulator built in OCaml.
open-source ocaml reactive-programming property-based-testing agent-based-modeling algorithmic-trading trading-simulator limit-order-book matching-engine dune risk-management alcotest qcheck immutable-data financial-systems market-simulation funtional-programming
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- OCaml
A stochastic market simulation modeling the 2026 Global Healthcare Private Equity landscape. Synthesizes $191B in transaction data across 445 deals, applying the "Rule of 60" valuation framework for HCIT and geopolitical risk discounts for APAC Biopharma. Based on Bain & Company's 2026 strategic outlook.
data-analysis private-equity financial-modeling market-simulation valuation-model strategy-consulting healthcare-analytics
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- Jupyter Notebook
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