Continuous Model Refinement

• Nightly Retraining Pipeline – Ingests the day’s new price, on-chain and sentiment data to retrain models every 24 hours. – Applies online learning techniques that prioritize recent data while retaining long-term patterns.

• Performance Feedback Loop – Compares predicted fair-value bands and sentiment calls against actual market outcomes to identify model drift or overfitting. – Adjusts feature weights and hyperparameters automatically to improve next-day predictions.

• A/B Strategy Testing – Runs parallel simulations of updated models against historical data to validate improvements before deploying to live accounts. – Only promotes model versions that demonstrate higher expected return and lower drawdown risk.

• Governance and Oversight – Maintains version control on model code and datasets for full transparency. – Conducts regular reviews by our quant research team to ensure models remain robust against emerging market conditions.