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Publisher

yorich

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This entry is from Thursday August 13, 2026. The price of the asset may have changed since then.
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Overview

Ultimate Stock Market Simulation Framework for Unity

Build your own real-time stock market world — complete with AI traders, social sentiment, and dynamic events.

Whether you're creating a serious financial simulator or a chaotic meme-stock adventure, this framework gives you the tools to make it real.

Start trading your virtual market today.


Overview

Ultimate Stock Market Simulation Framework is a complete and extensible financial simulation engine built with Unity.

It replicates a real-time trading environment — with order book mechanics, AI traders, dynamic news feeds, and narrative market events — making it ideal for:

  • Financial & business simulation games
  • Trading education or training apps
  • AI trading experiments and backtesting prototypes
  • Fintech visualization and marketing demos

Everything is modular, event-driven, and fully customizable.


Core Features


Real-Time Trading Engine

  • Full order book mechanics (limit / market orders, partial fills, cancellations)
  • Thread-safe order matching with coroutine-based parallel processing
  • Configurable batch processor for high-frequency trading performance

AI Trader & Market Maker

  • Multiple AI trader types: AITrader, SimpleCommandTrader, MarketMaker
  • Realistic market participation, liquidity simulation, and command-based manipulation
  • Fully extensible — add your own trading agents easily

Dynamic News & Social Media System

  • Event-driven news articles and simulated social posts
  • Influencers and sentiment-driven reactions
  • Integrated with Scenario System for organic storytelling

Scenario & Event Framework

  • JSON-defined narrative events (time, stock, or random triggers)
  • Event actions: publish news, modify prices, post SNS, issue trader commands
  • Full control of in-game macro events and crisis simulations

Character & Relic System

  • Select trader archetypes (AntTrader, MemeTrader, etc.)
  • Each character has unique trading traits
  • Collect relics with gameplay bonuses (profit boost, fee reduction, early news)

Modular & Scalable Architecture

  • Manager-based system with dependency-safe initialization
  • EventManager for decoupled communication between systems
  • Easy integration with your own UI, data, or gameplay extensions

System Architecture Highlights

  • Event-Driven Architecture — clean Observer pattern communication
  • Object Pooling — efficient reuse of SNS posts, order rows, and events
  • Parallel Processing — each stock trades in its own coroutine
  • Data-Driven Design — scenarios and company info via JSON and ScriptableObjects
  • Expandable Modules — add new stocks, AI traders, or relics without modifying core logic

Includes full documentation with diagrams and an AI assistant guide for developers.


What’s Included

  • Full C# Source Code
  • Complete Trading Engine
  • AI Trader System (3 base implementations)
  • News + SNS Information System
  • Scenario/Event System with JSON support
  • Character & Relic Framework
  • 25+ Modular UI Components
  • Detailed Documentation & AI Assistant Guide (Markdown)
  • Ready-to-run Demo Scenes

Extensibility Examples


Add a New Stock
Register via CompanyManager or VirtualAssetsGenerator — auto-populated in StockMarketSystem and UI


Add a New Scenario
Create a JSON file in /Resources/Scenarios/, define triggers (time / price / random) and actions


Add a New Character
Inherit from BasePlayerCharacter and implement InitializeTraits()


Add a New Relic
Inherit from Relic and implement ApplyEffect() / RemoveEffect()


Performance Optimizations

  • BatchOrderProcessor: Groups and processes orders per frame
  • EventBatchProcessor: Efficient event queuing and delivery
  • Frame-Time Budgeting: EventManager caps to 8 ms per frame
  • Coroutine-based Distribution: Smooth performance for 20+ stocks
  • Object Pools: Minimized GC pressure during gameplay

Perfect For

  • Game Developers – create realistic investment or trading games
  • Educators – teach stock trading dynamics interactively
  • AI Researchers – simulate trading agents or reinforcement learning environments
  • Fintech Teams – prototype market behaviors or test UX flows

Documentation Included

Three developer-ready documents:

  • PROJECT_OVERVIEW.md — Full system summary
  • AI_ASSISTANT_GUIDE.md — AI-powered development guidance
  • ARCHITECTURE.md — Architecture diagrams and dependency maps

Each includes initialization order, event flows, and modular extension points.

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