About Not in Employment, Education, or Training (NEET):
Currently trading at $0.022285, with a market capitalization of $22.30M and a 24-hour trading volume of $1.04M. Execution liquidity looks moderate but uneven turnover (volume/market cap 4.67%) Turnover looks sufficient for regular spot activity under normal conditions..
Where it trades:
The asset is actively traded on leading platforms such as LBank, PumpSwap and Raydium (CLMM), which currently concentrate a large share of its spot market activity. Spot liquidity often tracks the venues with the most consistent flow. Venue mix is a practical factor for execution and depth.
Market assessment:
Bull score 51/100 suggests moderate momentum with a neutral-to-mixed bias with conditions consistent with a range-driven phase..
Snapshot returns: 24h -2.72% · 7d -9.06% · 30d -31.32%. Returns remain pressured across major windows. Short-term price action is relatively calm on the 24h window. Risk is assessed as Low, which implies more stable conditions with tighter volatility behavior Calmer regimes can still produce sharp candles on news..
Not in Employment, Education, or Training (NEET) is positioned in the Early phase,
typically associated with early-cycle setup where directional bias is still forming Breakouts may be less consistent until participation broadens..
Capped supply provides a defined upper bound for total issuance.
Conclusion: From a structure view, the setup currently reflects a transitional structure with no dominant directional bias. Update date: 2026-06-19.
7d window (2026-06-12): #1201 → #2193 (down by 992).
30d window (2026-05-20): #3653 → #2193 (up by 1460).
YearBull Rank is an internal ordering on YearBull that positions a coin relative to the rest of the tracked universe. Lower rank numbers correspond to stronger relative placement. It is meant for comparison and tracking, not certainty.
Rotation context: Compare the 30d move with the 7d move to see if momentum is accelerating or fading.
Execution context: If the line range narrows, access may be stabilizing.
Risk context: If the last month is chaotic, widen the lookback before concluding.
Turnover context: If the curve jumps, check whether the cohort moved too (relative effects).
Editorial note:
This analysis was prepared by the YearBull research team under the direction of
Alan Zelvin,
Founder and Lead Crypto Researcher.
The assessment follows YearBull’s internal research methodology and editorial standards.
Methodology ·
Editorial Policy
Not in Employment, Education, or Training (NEET) Markets
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