A protocol for synthetic
markets
Rewynd creates time-compressed, tradable markets shaped by historical structure, world events, and agent behavior.
For traders, builders, funds, and researchers exploring the next market primitive.
Markets that evolve, react, and generate new outcomes.
Trade inside generated market environments shaped by real structure, driven by world events, and fully executable.
Historical Structure
Markets are initialized from real historical data patterns, preserving the structural dynamics that shaped actual price movements.
Generative World Events
AI-driven events inject volatility and narrative into each market world, creating emergent dynamics no static replay can produce.
Tradable Execution
Every synthetic market is fully tradable. Execute positions, manage risk, and generate real behavioral data from every trade.
A new asset class for trading, training, and market intelligence
A New Asset Class
Synthetic markets create a new category of tradable environments. Every market is unique, time-compressed, and data-rich.
Better Training Environments
Traditional backtesting is static and deterministic. Synthetic markets produce dynamic, non-repeating conditions for better skill development.
Proprietary Synthetic Data
Every trade, event reaction, and outcome generates structured behavioral data that doesn't exist anywhere else.
Protocol-Native Flywheel
More markets create more data. More data creates better agents. Better agents attract more traders. The system compounds.
From initialization to data output
Four steps define the lifecycle of every synthetic market.
A market world is initialized
Historical data structures are loaded and parameterized to create a unique market environment with realistic price dynamics.
Events and agents shape the environment
World events inject volatility while AI agents create market pressure, producing dynamic conditions that evolve in real time.
Users trade inside the market
Execute trades, manage positions, and react to events in a time-compressed environment where weeks unfold in minutes.
New data is produced
Every market generates unique structured data: trading behavior, event impact metrics, execution patterns, and outcome distributions.
Built for the next generation of market participants
Traders
Trade in dynamic, non-repeating market environments. Develop and test strategies against conditions that evolve with every session.
- Time-compressed market cycles
- AI-driven event volatility
- Real execution dynamics
Builders & Agent Teams
Build, test, and deploy trading agents inside synthetic markets. Access structured environments purpose-built for autonomous execution.
- Agent-ready market environments
- Behavioral performance data
- Structured API access
Funds, Labs & Researchers
Access proprietary synthetic market data for research, model training, and market intelligence. Data that doesn't exist anywhere else.
- Proprietary behavioral datasets
- Event-impact analytics
- Market microstructure data
More than trading: a new data engine
Every synthetic market generates unique behavioral and market data that can power research, agents, and future data products.
Behavioral Data
How traders and agents react to events, volatility shifts, and market structure changes.
Event Impact Metrics
Measured effects of world events on price action, volume, and trader positioning.
Execution Patterns
Order flow, timing distributions, risk management behaviors, and outcome correlations.
Market Microstructure
Liquidity dynamics, spread behavior, and depth patterns across synthetic market conditions.
Synthetic markets are both a venue and a data factory. Every market session produces structured, labeled datasets that traditional markets cannot generate, creating a compounding data advantage over time.
Join the waitlist
We're onboarding early users interested in trading, agents, and synthetic market data.
Contact us
Partnerships, investment inquiries, data access, or beta requests.