FAQ

What is OC.AGENT, and what problem does it solve?

OC.AGENT is an AI-powered automated trading system (AI Agent) for prediction markets. It uses technology to address structural inefficiencies in the market, including price fragmentation across platforms, delayed reactions to news and data, and fleeting opportunities missed by manual execution.

How does OC.AGENT generate returns? What are the core strategies?

OC.AGENT earns by systematically capturing structural inefficiencies in prediction markets rather than relying on directional bets. The system connects to major platforms such as Polymarket and Kalshi. Its core strategies include:

• Cross-platform arbitrage that captures price spreads for market-neutral returns
• Sentiment and momentum trading based on delayed reactions to news and events
• Spike capture of short-lived imbalances caused by large trades
• Spread trading that exploits gaps between market prices and real-world/on-chain data

What is the return model? Is it stable?

Returns come from the accumulation of many small trades rather than a single large win. The approach is primarily market-neutral and does not depend on market direction, aiming for steady, compounding returns.

What are the risks, and how are they managed?

The system manages risk through diversified strategies and strict position-sizing and risk-control rules, reducing the impact of any single event on overall performance.

How are funds managed? Are they safe?

Fund management follows principles of transparency and traceability, combined with multiple security mechanisms to protect assets.

What advantages does the OC.AGENT AI system offer?

It offers high-frequency execution, multi-platform monitoring and real-time decision-making, capturing fleeting opportunities that are hard to catch manually.

Who is OC.AGENT for, and why now?

It is for users who want to participate in prediction markets in a more efficient, automated way. With prediction markets growing rapidly, the timing for structural opportunities is right.