Trending crypto and new listings — 4 November 2026
The most searched assets on CoinGecko right now are led by THORChain (RUNE), ranked #160 by market cap. 7 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 | THORChain (RUNE) | #160 | $0.635247 | +9.85% |
| 2 | Quantus (QTC) | #763 | $71.99 | +4.45% |
| 3 | Hyperliquid (HYPE) | #11 | $84.54 | +1.81% |
| 4 | Pudgy Penguins (PENGU) | #111 | $0.007183 | +4.61% |
| 5 | STONK (STONK) | #286 | $0.119474 | +12.7% |
| 6 | Kinetiq (KNTQ) | #196 | $0.496258 | +13.28% |
| 7 | Collector Crypt (CARDS) | #152 | $0.256586 | +10.27% |
| 8 | Pearl (PEARL) | #100 | $1.46 | +5.33% |
| 9 | Official Trump (TRUMP) | #113 | $1.52 | -3.79% |
| 10 | Monero (XMR) | #12 | $633.21 | +4.39% |
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.*