market-simulator
There are 2 repositories under market-simulator topic.
tolyo / open-outcry
A multi-asset matching engine for market places of all sizes
Language:Go 37apayne19 / DoubleAuctionMarket
Experimental Market Simulations & Trader Strategy Evaluation
Language:Python 36- Language:Python 23
ntrang086 / computational_investing
modeling the behavior of stock markets: create a market simulator, technical indicator, and a strategy that generates orders
Language:Python 21zombie-einstein / bourse
Rust Market Simulation Library with a Python API
Language:Rust 19armandcismaru / DeepTraderX
High-performing deep learning trader on a multithreaded financial exchange simulation.
Language:Jupyter Notebook 14- Language:Rust 11
jocon15 / StockBench
A back-tester for testing stock trading strategies on historical data
Language:Python 9Multielio / Market-simulator
Simulate fake stock market for in game economy.
Language:Python 5lexvanderstoep / CompLexMarkets
A project for the simulation of stock markets.
Language:Java 4swghosh / Campaign-Treasurer-Companion-Web-App
The Campaign Treasurer Companion Web App simulates a small security, crypto currency, commodity market with the facility to allow virtual trading.
Language:PHP 3tuomasr / cu-powermarket-admm
CUDA implementation of the alternating direction method of multipliers (ADMM) for power market simulation
Language:Cuda 30x01h / market-cabbage-stock-simulation
Job is to simulate the shop for rotting cabbages scenario, and again do the optimal stock size experiments (decide on the optimal stock level of cabbages to keep the number of expired cabbages to a minimum while maintaining the number of customers unable to find a cabbage in stock to 3 in 1000 or less). Recall that: cabbages go rotten in 7-12 days, are delivered in 1-15 days, and shoppers looking to buy cabbage come every 0-3 days (you may assume these are uniformly distributed).
Language:Jupyter Notebook 2Shelly-Yang / Toy-Horse-Conjoint-Analysis
Tool: R. Conjoint analysis helps launch new products. This project helps us deeply understand how conjoint analysis gets consumers preference and segmentation, and how to simulate market to maximize profit and sustainability. It turns out that mutual cooperation yields better outcome than mutual defections.
matheus-ft / matching-engine
Order matching system for a simple mock exchange
Language:Python 1- Language:TypeScript 0
- Market_Simulator
sourceduty / Market_Simulator
📈 Simulate various business market dynamics.
- Stock_Market_AI
📈 Stock market information with accurate and detailed statistical simulations for stocks using ChatGPT.
