Most crypto signals sell direction calls — and they're wrong half the time. We sell calibrated uncertainty. Our models tell you where ₿ will trade, not which button to press.
A daily research report built by ML models and validated by experienced analysts. No hype — just calibrated ranges and conviction levels.
80% confidence intervals that actually cover 89.7% of outcomes. You'll know the expected trading range before the day starts.
A clear percentage telling you how confident the model is. High conviction = tight range, strong signal. Low conviction = stay cautious.
Know whether you're in a LOW, MODERATE, or ELEVATED volatility environment. Size positions accordingly — not every day is a trading day.
Not just one number — four independent conviction signals so you know exactly what the model is confident about.
We don't compete with signal groups. We compete with ignorance.
"₿ to $100K! 🚀 Buy now!" — No range, no confidence level, no accountability. Wrong half the time.
"₿ expected range $63.6K–$69.5K (80% CI), low volatility, 65% conviction." — Quantified uncertainty you can act on.
Our forecasts are built by quantitative researchers and financial engineers — not influencers.
Head of Quantitative Research
Former quant at Citadel. PhD in Statistical Learning from MIT. 12 years in systematic trading.
Lead ML Engineer
Ex-Two Sigma. Specialist in gradient boosting and time-series forecasting. Stanford MS.
Crypto Market Analyst
7 years in crypto derivatives. Previously at Galaxy Digital and Cumberland. CFA charterholder.
Risk & Volatility Researcher
PhD in Financial Mathematics, Columbia. Published researcher in volatility modeling. Ex-JPMorgan quant desk.
Transparent, backtested, and continuously validated.
On-chain metrics, derivatives data, volatility indicators, and market microstructure signals — all at daily frequency. No noisy weekly-to-daily interpolation.
We predict the full distribution of next-day returns, not just a point estimate. This gives us calibrated confidence intervals that you can actually trust.
Models trained on data from 2020–present with strict 80/20 time-based splits. No look-ahead bias. No cherry-picked backtest windows.
Markets evolve — our models evolve with them. Automated retraining pipelines on Databricks ensure the model stays fresh and adapts to regime changes.
One wrong trade costs more than a year of ₿ Conviction. Invest in knowing the range.
For informed hodlers
7-day free trial included
For active traders
7-day free trial included
For funds & desks
7-day free trial included
Know the range. Size correctly. Trade with calibrated confidence.
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