Reinforcement Learning
Agents learn trading policies through millions of simulated episodes, rewarded for risk-adjusted return, not raw profit.
The Next Generation of Algorithmic Trading
Frontier AI Trading Research Lab.
Synchronous is building reinforcement learning based AI trading systems that learn, adapt, and compete at the highest level. We work at the frontier of AI research in trading. Our agents train against the world's most challenging markets and run autonomous ETFs and onchain vaults under hard risk limits.
policy training · simulated environment
RLReinforcement learning core
24/7Autonomous allocation cycle
2Wrappers: ETFs and onchain vaults
8Autonomous trading vaults
Approach
Agents that learn markets the way AI learned games.
Frontier Model Reasoning
Large language models read filings, news and onchain activity, turning unstructured information into signals the policy can use.
Continual Learning
Markets shift regime. Our agents retrain on live data and are re-evaluated before each new version is allowed to trade.
Products
Autonomous funds, in familiar wrappers.
AI-Managed ETFs
Rules-based index strategies whose research, weighting and rebalancing are carried out by our agents, with published holdings.
- Global equity and macro sleeves
- Weekly or daily rebalancing
- Plain-English rebalance reports
Autonomous Vaults
ERC-4626 vaults where an allocator agent moves capital between vetted strategies inside caps enforced by the contract.
- Per-venue caps and 72h timelocks
- Guardian pause, no agent withdrawal rights
- Withdraw at any time
Team
Built by builders.
Our team is a great mix of people coming from big tech AI labs, top-tier trading companies, and academic research labs. We are all builders and dreamers, and we enjoy working together on challenging problems.
Infrastructure
Cloud-native, model-agnostic.
Training and agent workloads run on the cloud. We evaluate frontier models from multiple providers side by side and use whichever performs best on each task.
Work with Synchronous.
Research collaboration, infrastructure partnerships and roles in RL and trading systems.