Easy to Deploy Prediction Market Platform

This project is a Python-based trading simulator that allows users to simulate trading strategies, manage an order book, and interact with a mock trading environment using various algorithmic traders. The simulator includes a FIX (Financial Information eXchange) protocol handler, a market-making algorithm, and synthetic liquidity generation.

An explainable modeling system that analyzes cryptocurrency prices as equilibrium outcomes shaped by market forces. This simulator computes force decompositions, equilibrium bands, tension scores, and scenario-based what-if simulations to reveal how demand, supply, volatility, liquidity, and speculation negotiate price.

A deep exploration of the economic physics governing DeFi crashes, AMM decay, liquidity spirals, and liquidation cascades. This article models decentralized finance as a nonlinear system driven by invariants, thresholds, and feedback loops, revealing why crashes follow predictable laws of motion.

Immersive financial simulation platform featuring real‑time markets, AI‑driven events, automated trading, company management, betting markets, crypto mining, and full PWA support. Built with Next.js, Genkit, and Drizzle ORM.

Crypto Trading Simulator - A C++ command-line application for simulating cryptocurrency trading. Features order book management, wallet tracking, bid/ask placement, and automated order matching across multiple trading pairs. Educational tool for learning trading mechanics and C++ OOP principles.

UpOrDown — a zero-latency, random trading game to test whether risk management alone can be profitable. Click Up or Down, results are random, the chart updates after each trade.