When to sell NEAR?
People tend to consider selling near the high part of the range. The ABYSS Risk sums up, in a 0–1 number, how close NEAR (NEAR) is to the high part of its history, with a shorter history, so the calibration is indicative.
Medium cycle risk: an intermediate phase, no clear high-range reading. Worth watching.
The indicator gives position context within NEAR's range, not a sell signal or a prediction. It's essentially price's distance to its long average; the high part of the range is where the market has overheated in the past, but it's not a guarantee. The table below maps each zone. Note: with NEAR's shorter history, the calibration is less reliable — treat it as guidance, not a verdict.
The framework: cycle risk zones
| Zone | What it has meant (historical) | Historical phase |
|---|---|---|
| 0.0–0.2 Very low risk | Lowest part of its historical range: price trades well below its normal, minimum relative risk versus its own average. | Historic floor |
| 0.2–0.4 Low risk | Lower part of its range: price trades below its historical normal. | Lower cycle zone |
| 0.4–0.6 Medium risk ◄ today | Intermediate part of its range: neither low nor high. The reading is neutral. | Mid phase |
| 0.6–0.8 High risk | Upper part of its range: price trades above its historical normal. | High zone (overheating) |
| 0.8–1.0 Very high risk | Highest part of its historical range: maximum relative risk versus its own average. | Historic top |
Frequently asked questions
Does the ABYSS Risk work for NEAR like it does for Bitcoin?
It's computed the same way —price's position in its historical range, 0 to 1— but calibrated on NEAR's history, with a shorter history, so the calibration is indicative. With fewer years, read the zones with more caution. Not financial advice.
Is this a buy or sell recommendation?
No. ABYSS Index provides information and historical context for educational purposes; it is not financial advice. Past performance does not guarantee future results.
See the risk of all 22 assets →See all cycle indicators →How the ABYSS Risk is computed →