EventHorizon-AI builds forecasting systems for crypto markets and retail demand, and puts every one of them through the same statistical validation pipeline before it ships. No cherry-picked backtests — walk-forward, bootstrap, and permutation testing, published openly.
Each product below is validated with the same methodology described further down this page — not a separate marketing claim per product.
Every product above runs through these four checks, in this order, before a single number is published.
The model never sees data from around the prediction boundary — no leakage from the future into training.
Confidence intervals are built by resampling contiguous date blocks, respecting the autocorrelation in time series.
The gap between model and baseline is bootstrapped directly, in pairs, instead of comparing two separate confidence intervals.
Labels are shuffled and the model is re-scored, to confirm the observed edge isn't a product of chance.
The full methodology is packaged as an installable Python library: honest-validation-toolkit
If you run a small or medium retail business and want to try EventHorizon Demand for free, send an email to lucasthd08@gmail.com with the subject "Pilot Demand" and attach a CSV of your daily sales. I'll send you a forecast within 24 hours — no cost, no commitment.
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