Prediction Market Platform: Easy to Deploy, Open Source MIT Licensed
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Updated
Sep 6, 2026 - Go
Prediction Market Platform: Easy to Deploy, Open Source MIT Licensed
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.
After-tax comparison of company pension fund investing vs equivalent index fund investing under Spanish tax rules.
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.
Monte Carlo & Portfolio Risk Simulator built with Flask, NumPy and Matplotlib. Runs 1,000+ GBM simulations, computes VaR/CVaR, and visualizes stochastic paths — the math Wall Street uses, open source.
It provides a centralized Command Center for liquidity management, risk mitigation, and automated financial execution. By leveraging a multi-agent architectural simulation, it offers treasurers real-time insights and autonomous recommendation engines to optimize working capital and mitigate FX risks.
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.
LLM-Agent based financial market simulation for studying herding behavior and noise trading through social networks
Simulador de investimentos em FIIs no Excel com FV, cenários e perfis de alocação | FII investment simulator in Excel
Rule-aware, local-first paper trading for US, Hong Kong, and Mainland China equities with deterministic synthetic data and optional server-side DeepSeek research. Educational only; never routes real orders.
A controlled, multi-agent financial market laboratory to simulate continuous double auction dynamics and analyze how heterogeneous trading behaviors shape market stability and liquidity.
Project latihan Object-Oriented Programming (OOP) di Python.
> **「求人票に自分を合わせるな。いままでの経験で『役割』をつくる。」**
A modular finance simulation engine for experimenting with financial systems using configurable agents, data pipelines, and interactive interfaces. It supports scenario-based simulations and user interaction for education, prototyping, and early-stage product exploration, designed as a scalable experimentation framework.
Interactive financial simulation dashboard analyzing the long-term revenue structure transition of Japan's Top 5 commercial TV broadcasters (2015-2035) from linear advertising to digital streaming, IP licensing, and non-broadcasting.
An interactive Jupyter Notebook-based trading simulator that models and projects trading profits through data-driven scenario analysis. Enables traders and investors to simulate various trading strategies, analyze potential profit outcomes, and visualize performance metrics in an accessible, collaborative environment.
长线:免费开源的退休安全概率模拟器。真实 Monte Carlo、压力测试、敏感性分析和退休目标求解。
A living neural ecosystem for emergent multi-agent intelligence
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