Every week, our research team publishes a structured analysis of how our models performed, how the markets moved, and what the data revealed. Institutional-grade research. Plain English. Free.
The Enodara Weekly Retrospect publishes every Monday covering the previous week. Our first edition will document how the models performed in their first live week — how BTC, Gold and Oil moved, and what the data showed us.
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How accurate were our signals this week across BTC, Gold and Oil? Which model — Random Forest, LightGBM or CatBoost — performed best? Where did the ensemble disagree and what happened next?
What happened in BTC, Gold and Oil markets this week? How did price action relate to the signals the model generated? What regimes were detected and were they accurate?
Which indicators drove the model's decisions this week? Were the RP-PCA factor loadings predictive? Where did news sentiment have the most impact on Bayesian regime updates?
A plain-English summary of the most interesting quantitative findings of the week — regime shifts, volatility spikes, anomaly detections, and what they might mean going forward.
Any updates to the models, retraining results, version changes or research observations from the Enodara team. Full transparency on what changed and why.