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Research Log No. 3TodayTopic: Narratives and sectors

Sector Observation amid Quiet Bottom Conditions: Potential Board Top 10 and Narrative Rotation

Abstract

In the latest scan, among 516 Binance USDT spot trading pairs, 69 passed the hard filters, but in the past 24 hours the review council sent 0 to review and passed 0. In the top 10 of the potential board, the gaming sector includes ILV, YGG, and GALA, and their declines below peak are generally large; today's strong sectors include HODLer, Meme, AI, and gaming. The sample size is very small, so this is for observation only and does not constitute investment advice.

Key points
  • The scan snapshot shows 69 projects passed the hard filters, but the review council had no cases sent to review in the past 24 hours, and the system remains restrained.
  • In the top 10 of the potential board, multiple coins from the gaming sector appeared, partially overlapping with today's strong sectors; sectors such as public chain/L2 and fan tokens did not appear among the strong sectors.
  • There was only 1 closing signal, an extremely small sample, so the win rate and average return cannot represent overall performance for now.

Coin Selection Funnel: From 516 to 69, No Cases Sent to Review by the Review Council

Figure 1 shows today's coin selection funnel. In the latest full-market scan (snapshot), there were 516 Binance USDT spot trading pairs, 267 with market caps within the research scope, and 69 that passed all hard filters.

In the past 24 hours, the review council sent 0 to review and passed 0. This means that although 69 projects still passed the hard filters at the scan level, the review council did not open any cases. With a sample of 0, we cannot yet assess the review pass rate or the inclination of the AI reviewers.

Screening funnel: latest scan → review council, last 24 hoursBinance USDT spot pairs516Market cap in research range267Passed hard filters69Sent to review (24 h)0Approved (24 h)0
Screening funnel: latest scan → review council, last 24 hoursBinance USDT spot pairs516Market cap in research range267Passed hard filters69Sent to review (24 h)0Approved (24 h)0
Figure 1. Screening funnel: latest scan → review council, last 24 hours

Potential Board Top 10: Large Declines and Sector Distribution

Figure 2 shows the potential scores and declines below peak for the top 10 of the potential board. The highest potential score is ILV at 72 points, 81% below its peak; the lowest is GALA at 59 points, 90% below its peak. Others include ALPINE 98% below its peak, FLOW 94% below its peak, and YGG 91% below its peak.

By sector, ILV, YGG, and GALA come from the gaming sector; FLOW and CHR come from public chain/L2; SPELL and EIGEN involve DeFi; CITY and ALPINE are fan tokens; EIGEN and ARKM involve infrastructure; CHR and GALA also carry NFT tags. Today's strong sectors are HODLer, Meme, AI, and gaming. Gaming overlaps with the potential board, but no coins from the AI sector entered the top 10, and fan tokens and public chain/L2 also did not appear among the strong sectors.

Potential board top 10 (score)From peakILV72-81%FLOW66-94%SPELL65-84%EIGEN63-90%CHR62-83%YGG61-91%CITY61-73%ARKM61-80%ALPINE60-98%GALA59-90%
Potential board top 10 (score)From peakILV72-81%FLOW66-94%SPELL65-84%EIGEN63-90%CHR62-83%YGG61-91%CITY61-73%ARKM61-80%ALPINE60-98%GALA59-90%
Figure 2. Potential board top 10 (score)

Narrative Quietness and Attention Cycles: The Situation of Bottom Coins

Bottom coins are often in a state of low attention, and their declines below peak are generally large. Looking at the below-peak levels of the top 10 on the potential board, the lowest is CITY at 73%, and the highest is ALPINE at 98%.

When narratives return, coins within those sectors may be repriced, but today's strong sectors are HODLer, Meme, AI, and gaming. Among the top 10 of the potential board, only some coins come from the gaming sector, and more sectors such as public chain/L2 and fan tokens are not among the current strong sectors. We only observe the current situation and do not predict which sector will rise.

Review Council and On-Chain Dynamics: Limitations under Small Samples

In the past 24 hours, the review council sent 0 to review and passed 0, with the four reviewers having no active stances. With a sample size of 0, we cannot assess the AI reviewers' attitude toward the current potential board.

Regarding large on-chain transfers, there were 3 exchange outflows totaling 0.38 million USD, and 24 transfers between large holders totaling 588.96 million USD. In the public track record, there was only 1 closed signal with a 100% win rate and 9.89% average return, but with a sample of only 1, we cannot draw conclusions yet.

Overall, today's system state is very restrained: the scan has 69 candidates, but the review council took no action. This may reflect that there are no targets meeting the review standards under current market conditions, or it may be due to the review pace.

What This Means for Users and Limitations

For users, this log shows that we are a highly vertical product: we focus only on small-cap bottom coins in Binance USDT spot, score them with a rule engine, but the AI review council is extremely strict. The potential board is only rule-based scoring and does not represent AI coin selection; approval by the review council is the signal.

Today's limitations are also clear: the review council sent 0 to review, there was only 1 closing signal, and the number of on-chain transfers was not high, all of which are small samples and cannot yield regular conclusions. More data accumulation is needed later to observe the relationship between narrative rotation and the potential board.

About the dataScan figures in this note come from the latest market-wide scan as of 2026-10-24 10:00 (Beijing time); review council figures cover the 24 hours before that. The potential board is a rule-based score and the verdicts come from the AI review council; both are research results, not investment advice. Live results use the same method as the public track record page.
This note was written automatically by CoinSpider's research system from the day's real data. Before publishing, its statistics are checked automatically against that day's data and return-promise language is filtered out.

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