POLYMART is a real-time stock market simulation engine designed primarily as a synthetic data generator for financial applications, experiments, and creative projects.
It provides a fully programmable environment for generating realistic, evolving stock market data that can be used across a wide range of use cases - from lightweight bots to full-scale training platforms.
POLYMART is a self-contained market simulation system built to:
- Generate synthetic stock market data over time
- Serve as training data for models, strategies, and applications
- Provide a controllable environment for testing and experimentation
- Act as a backend for projects that need live-like financial data without real markets
This is not a production trading engine - it is a data generation and simulation platform.
At its core, POLYMART exists to create usable, dynamic stock data.
This data can power:
- 🤖 Discord bots that simulate trading or market tracking
- 🧪 Algorithmic trading experiments
- 🎓 Stock market learning and training platforms
- 📊 Data visualization tools
- 🕹️ Games or gamified trading environments
- 🧠 Machine learning datasets for financial models
If you need market-like behavior without relying on real-world APIs, POLYMART fills that gap.
A synthetic market evolves over time, with prices changing based on internal logic and system rules.
A scheduled backend process (polymart-tick) continuously updates:
- Prices
- Market state
- Simulation progression
The polymart-api exposes the simulation for external use:
- Retrieve generated stock data
- Hook into the simulation from external apps
- Drive integrations (bots, dashboards, etc.)
A web interface allows:
- Visualization of the simulated market
- Interaction with the system
- Exploration of generated data
Backed by Supabase for:
- Storing generated market data
- Maintaining simulation continuity
- Managing schema evolution
- Synthetic stock market data generation
- Continuous tick-based simulation engine
- API-first design for external integrations
- Supabase-backed persistent data layer
- Flexible architecture for experimentation
- Built-in frontend for visualization and testing
POLYMART is designed to be used as a data backbone, not just a standalone app.
Examples include:
- A Discord bot that lets users “trade” fake stocks
- A classroom tool for teaching market dynamics
- A sandbox for testing trading algorithms
- A backend for a stock market game
- A dataset generator for ML/AI financial models
- ❌ Not connected to real financial markets
- ❌ Not suitable for real trading or financial decisions
⚠️ Data is simulated and may not reflect real-world behavior- 🔒 This project is not intended to be a reusable framework or library
By using any POLYMART-related services or outputs, you agree to the following:
- Terms of Service: https://www.polymart.co/#/docs/terms
- Privacy Policy: https://www.polymart.co/#/docs/privacy
POLYMART explores the idea that financial systems don’t need to be real to be useful.
By generating realistic, controllable market data, it enables developers, researchers, and creators to build and experiment freely - without external dependencies or real-world risk.