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August 22 2026
Good AI Needs Good Inputs
An AI model is only as dependable as its data and evaluation.
Crypto markets change quickly: venues evolve, liquidity shifts, and once-stable relationships can weaken.
Responsible AI analysis requires:
- Accurate, timely data
- Checks for gaps and exchange anomalies
- Backtests without look-ahead bias
- Testing across market regimes
- Monitoring for model drift
- Clear limits on automated decisions
Historical results may not hold in live markets. Validation must be continuous, with risk controls independent of model confidence.
Past or simulated performance does not guarantee future results.