Trending crypto and new listings — 4 October 2026
The most searched assets on CoinGecko right now are led by Super Iguana (SI), ranked #977 by market cap. 4 of the ten trending names sit outside the top 100, which is the usual signature of fresh listings and rotation into small caps rather than a broad market bid.
| # | Asset | Market cap rank | Price | 24h |
|---|---|---|---|---|
| 1 | Super Iguana (SI) | #977 | $0.016603 | +45.93% |
| 2 | Grass (GRASS) | #120 | $0.691673 | -3.89% |
| 3 | Pump.fun (PUMP) | #40 | $0.006605 | +8.73% |
| 4 | NEAR Protocol (NEAR) | #21 | $4.97 | +6.01% |
| 5 | Sui (SUI) | #26 | $1.22 | +4.05% |
| 6 | Artificial Superintelligence Alliance (FET) | #111 | $0.242747 | +7.1% |
| 7 | Lighter (LIT) | #83 | $3.62 | -0.79% |
| 8 | Pudgy Penguins (PENGU) | #106 | $0.0093 | +1.09% |
| 9 | Quant (QNT) | #33 | $257.66 | +0.64% |
| 10 | Aerodrome Finance (AERO) | #85 | $0.858699 | +5.88% |
Liquidity is the filter, not the narrative
A trending listing is a search-volume signal, not a tradability signal. An automated accumulation ladder needs a market that can absorb repeated small orders at a stable spread; a newly listed token with thin books turns every rung into slippage that eats the take-profit before the fee line is even reached. That is why this system trades only four deep, high-volume pairs — BTC, ETH, SOL and XRP — and treats the trending list as context rather than a watchlist.
Three checks before a new listing is worth automating
1. Depth — the order book must hold several multiples of your intended lot size within a fraction of a percent of mid price. 2. Fee-adjusted target — with taker fees on both sides, the minimum viable take-profit on a thin pair is often wider than the entire daily range. 3. Minimum order size — exchanges enforce a notional minimum; on a micro strategy that minimum, not your risk model, sets the smallest lot you can actually close.
Data source: CoinGecko trending and public market endpoints, retrieved at publication time.
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*This article reports the live results and public market data behind an automated trading system. It is information, not financial advice, and past results do not predict future outcomes.*