Exchange inflows as an early-warning signal for Bitcoin drawdowns
On-chain flow shocks compared with volatility regimes as a risk overlay, tested walk-forward.
Research notes, the signal library and model leaderboard — with methodology published alongside every result.
On-chain flow shocks compared with volatility regimes as a risk overlay, tested walk-forward.
Survivorship, look-ahead and listing bias, examined across hundreds of cryptoassets.
How each may relate to next-day market behaviour, and how that relationship may change over time.
How global liquidity conditions shift the correlation between digital assets and equities.
Applying volatility analytics to assets that never close.
Research into market patterns around coordinated spikes.
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Each signal includes a model card and out-of-sample statistics from walk-forward testing. Signals stay “In research” until they pass our promotion criteria.
| Signal | Universe | Horizon | Published at release | Status |
|---|---|---|---|---|
| ETH 7d mean-reversion | ETH, SOL, AVAX | 7 days | Published at release | In research |
| BTC exchange-inflow risk overlay | BTC | 1–5 days | Published at release | In research |
| Funding-rate analysis | Selected cryptoassets | 1 day | Published at release | In research |
| Sentiment momentum | Top 50 by volume | 3 days | Published at release | In research |
| Volatility regime classifier | BTC, ETH | Daily | Published at release | In research |
| Listing anomaly alert | New listings | Intraday | Published at release | In research |
Transformers, gradient-boosted trees, recurrent networks and ensembles are ranked on the same out-of-sample folds, using error, calibration and directional accuracy — never on in-sample fit.
How we evaluate modelsWaitlist members may receive research notes, signal releases and model cards before publication.