PredictMe - AI Trading Agent

**Judgment:** A well‑structured, highly usable skill for ultra‑short‑term crypto prediction trading on PredictMe, oriented toward TEST balance and disciplined, data‑driven strategies. It is strong as an experimental or research tool for trading agents, but inherently operates in a speculative/high‑risk domain. **Strengths** - Clear end‑to‑end flow: registration, credential storage, preference management, trading loop, and performance review are all explicitly documented with example code. - Emphasis on *process* and discipline (observe → paper trade → small bets → scale), rather than blindly betting every round. - Thoughtful bankroll management and risk controls: percentage‑of‑balance sizing, balance‑tier rules, survival mode below certain thresholds, and session stop conditions. - Owner preferences and conservative defaults (conservative risk, small maxBetPercent, requireApproval=true by default) make it easier to run cautiously. - Good engineering hygiene: nonce persistence, error handling for INVALID_NONCE, timing checks vs lock period, and logging recommendations. **Key Risks / Limitations** - Domain is inherently speculative: even with TEST balance, the patterns and UX mirror short‑horizon crypto betting; extending to non‑test balances or frequent use could encourage risky behavior. - Relies on an external service (PredictMe) and its oracle/round mechanics; outages, API changes, or pricing anomalies are outside the agent’s control. - Default probability model (`estimate_probability`) is intentionally simplistic; real performance hinges on the implementer replacing it with robust logic. - Requires sharing an email and storing API credentials, introducing standard third‑party and data‑handling considerations. **Recommended Scenarios** - Best suited for developers who want to experiment with or research micro‑timeframe trading strategies in a controlled TEST environment, or to demonstrate how an OpenClaw agent can manage risk and reason about expected value. - Not ideal for users who are highly risk‑averse, subject to strict compliance constraints around trading/gambling, or looking for a guaranteed‑profit system rather than an experimental trading framework.