Experimental Market Simulations & Trader Strategy Evaluation
-
Updated
Mar 3, 2019 - Python
Experimental Market Simulations & Trader Strategy Evaluation
A multi-asset matching engine for market places of all sizes
A Python module for market simulation
modeling the behavior of stock markets: create a market simulator, technical indicator, and a strategy that generates orders
Rust Market Simulation Library with a Python API
High-performing deep learning trader on a multithreaded financial exchange simulation.
Configurable Automated Limit Order Book
A back-tester for testing stock trading strategies on historical data
Simulate fake stock market for in game economy.
A project for the simulation of stock markets.
CUDA implementation of the alternating direction method of multipliers (ADMM) for power market simulation
The Campaign Treasurer Companion Web App simulates a small security, crypto currency, commodity market with the facility to allow virtual trading.
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.
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 da…
Order matching system for a simple mock exchange
📈 Simulate various business market dynamics.
📈 Stock market information with accurate and detailed statistical simulations for stocks using ChatGPT.
Add a description, image, and links to the market-simulator topic page so that developers can more easily learn about it.
To associate your repository with the market-simulator topic, visit your repo's landing page and select "manage topics."