Executive Summary
February was a brutal month for crypto markets. BTC crashed -17.7% from $102,450 to $84,300, with a flash low near $78,200. ETH and SOL fared worse at -32.5% and -36.3% respectively — a broad risk-off selloff. Funding rates flipped heavily negative across all assets, with ETH and SOL seeing 47 and 43 extreme negative events. Volatility spiked to 0.73% ATR on BTC and 2.26% on SUI. Feature scans revealed strong mean-reversion signals — EMA and KAMA had the highest predictive power for 4h forward returns, all with negative IC (price reverted after extremes).
Market Overview
BTC
-17.7%
$102,450 → $84,300
ETH
-32.5%
$3,316 → $2,237
SOL
-36.3%
$232 → $148
SUI
-30.9%
$4.09 → $2.83
February saw a broad market selloff across all major assets. BTC dropped from $102,450 to a low of $78,200 — a peak-to-trough decline of -24% — before recovering slightly to close at $84,300. ATR(14) averaged 0.73% per hour on BTC, reflecting significant intraday volatility. Altcoins were hit harder — SUI's ATR reached 2.26%, the highest of any major asset.
The selloff was broad and indiscriminate. ETH (-32.5%), SOL (-36.3%), SUI (-30.9%), and AVAX (-35.6%) all underperformed BTC significantly. This kind of correlation spike — everything falling together — is characteristic of a liquidation cascade where leveraged positions unwind across all assets simultaneously.
Funding Rate Analysis
| Coin | Mean Rate | Max | Min | Extreme + | Extreme - |
|---|---|---|---|---|---|
| BTC | +0.0012% | +0.0088% | -0.0037% | 12 | 18 |
| ETH | +0.0007% | +0.0024% | -0.0046% | 0 | 47 |
| SOL | +0.0001% | +0.0013% | -0.0152% | 0 | 43 |
| SUI | -0.0000% | +0.0013% | -0.0095% | 0 | 47 |
| AVAX | +0.0006% | +0.0046% | -0.0054% | 4 | 43 |
Max
+0.0088%
Min
-0.0037%
Ext +
12
Ext -
18
Max
+0.0024%
Min
-0.0046%
Ext +
0
Ext -
47
Max
+0.0013%
Min
-0.0152%
Ext +
0
Ext -
43
Max
+0.0013%
Min
-0.0095%
Ext +
0
Ext -
47
Max
+0.0046%
Min
-0.0054%
Ext +
4
Ext -
43
Funding flipped heavily negative across all altcoins — ETH and SUI both saw 47 extreme negative events (z-score > 2). SOL hit -0.0152%, the most extreme funding rate of the month, indicating massive short-side pressure during the crash. BTC remained relatively balanced with 12 positive and 18 negative extremes.
What this means for strategy builders: Extreme negative funding creates opportunities for long-side entries that collect funding while positioned for a bounce. Run rift scan --pair SOL --tf 1h to see if funding extremes predicted returns during this period.
Feature Scan — BTC
All top features showed negative information coefficients — meaning high indicator values predicted negative forward returns. This is classic mean-reversion behavior during a crash: when price spikes up (high EMA, high KAMA), it reverts back down within 4 hours. The MACD and Stochastic K confirmed the same pattern. Volume ratio was also significant — high volume preceded reversals.
Reproduce this analysis: rift scan --pair BTC --tf 1h --forward 4h
Regime Analysis
Bear Regime — 21%
Active during the sharpest declines. 30-day rolling return dropped below -5% for sustained periods. Altcoins spent even more time in bear territory than BTC.
Sideways — 79%
Despite the large monthly decline, most candles were classified as sideways — the crash happened in fast, concentrated moves rather than a steady grind. Recovery bounces kept the rolling return oscillating around the -5% threshold.
Key insight: The crash was not a steady bleed — it was a series of sharp drops followed by partial recoveries. This choppy, mean-reverting structure explains why the feature scan found strong negative IC on trend indicators. Strategies that fade momentum (mean-reversion) would have outperformed trend-following in this environment.
Volatility Outlook — March 2026
BTC ATR
0.73%
Elevated
ETH ATR
1.36%
High
SOL ATR
1.62%
Very High
SUI ATR
2.26%
Extreme
February's volatility was driven by the crash. BTC ATR at 0.73% is roughly 2x normal levels. Altcoins saw even higher volatility — SUI at 2.26% hourly ATR means 2%+ moves every hour on average.
March outlook: Volatility clusters tend to persist. Expect March to remain elevated but gradually declining as the crash shock dissipates. This environment favors strategies that capitalize on large moves (breakout, mean-reversion) over those that need calm markets (funding capture, low-vol scalping).
Methodology
All market data is sourced from Hyperliquid's native API. Funding rates are actual hourly settlement rates. Feature scan uses Spearman rank correlation (information coefficient) between indicator values and 4-hour forward returns. Regime classification uses 30-day rolling return thresholds: bull (>+5%), bear (<-5%), sideways (between). ATR is computed on 14-period hourly candles. Extreme funding events are defined as z-score > 2 from the rolling mean. Reproduce any analysis with RIFT: rift scan --pair BTC --tf 1h --forward 4h