Top 10 Robinhood Chain tokens today: October 9, 2026

Robinhood Chain market snapshot for October 9, 2026

Robinhood Chain tracked $914.8 million in 24-hour DEX volume across 225 pools and 157 tokens at 15:58 UTC, with 1,273,748 trades recorded. The feed also showed 20+ new pools in the last 24 hours, with the new-pool counter capped.

Uniswap V4 (Robinhood) led with $520.1 million across 123 pools. Uniswap V3 (Robinhood) followed with $345.0 million across 58 pools. Ramses V3 added $17.8 million, while Up V3 and Sushiswap V3 contributed $6.8 million and $5.6 million. Together, Uniswap V4 and V3 accounted for about 95% of tracked turnover.

Here, "tracked" means the sum over the active pools captured in the market-data set, not the entire chain.

What moved the market

The clearest driver was fresh listings. All 10 tokens in the movers table were in pools 12 hours old or newer, and several were only one to five hours old. On pools that young, four- and five-digit percentage jumps are listing effects first and organic rallies second.

The second theme was thin news flow. For most of the names on the leaderboard, no credible Robinhood Chain launch post or recent official update was found. PAPER at least has a live site describing an on-chain perpetuals product built around Hyperliquid (Papertrade homepage), and REALM has an active launchpad and market site (Realm homepage). That is context, not a dated catalyst.

The third theme was access and infrastructure. Ankr added Robinhood Chain mainnet RPC support on its Premium and Enterprise plans in early October and now lists Robinhood Chain mainnet in its chain documentation (Ankr changelog; Ankr chain docs). That may help tooling and indexing around the network, but it does not explain why a particular brand-new meme pool doubled or collapsed in an hour.

A final point from the tape: percentage gainers were mostly small, new WETH or USDG pools, while raw volume on the chain still leaned on larger, more established markets. PONS, NVDA, SPY, AI, and other deeper pools did much of the base turnover outside the movers list. That split matters because it shows the leaderboard was driven by launch velocity more than by broad repricing across Robinhood Chain.

New pools worth watching

BMBFI stood out for pure turnover. It traded $25.7 million in 24 hours with 22,985 trades, but liquidity was only $63.0 thousand and the pool was 20 hours old. That is enough activity to keep it on watchlists, but the liquidity-to-volume ratio is still thin.

The sharpest warning signs came from CREORA, swordcat, and ORBANCY. Each did between $8.1 million and $16.5 million in 24-hour volume, yet liquidity sat between $2.7 thousand and $3.7 thousand. All three were down roughly 99.96% to 99.98%, which is the kind of outcome that often follows a launch burst in extremely shallow pools.

MBLOOM sat in the middle: $11.6 million in volume, $57.4 thousand in liquidity, and a 14-hour-old pool. BONER looked different. It showed $10.0 million in volume and $12.5 million in liquidity, but only 23 trades, which is unusual and suggests the flow was concentrated in a small number of large transactions rather than broad retail participation.

Biggest losers

TROW was the weakest name in the loser list, down 91.21% in a pool that was only 19 hours old. With $551.4 thousand in volume against $28.3 thousand in liquidity, that reads like a fast post-listing unwind.

astro fell 83.35%, but unlike most of the day's blowups its pool was older at 743 hours. AI was down a more moderate 10.83% on $12.7 million in volume and $3.88 million in liquidity, which looks more like a liquid repricing than a collapse. V4 and SI posted smaller declines of 8.41% and 6.76%.

How to check a token before trading it

• Start with liquidity depth. Compare pool liquidity with your order size. A pool with $40 thousand to $80 thousand in liquidity can move a lot on a relatively small trade.
• Check pool age. If the pool is less than 48 hours old, treat large percentage changes as launch effects. On October 9, 2026, every top mover fit that pattern.
• Read the flow, not just the price. Buyers outnumbering sellers can show demand, but a balanced buyer-seller count with a violent price move can also mean churn and poor depth.
• Verify the contract on the explorer. Make sure the token address, pool address, and quote asset match what the DEX is showing before signing a swap.
• Compare across pools when they exist. If a token trades against WETH and USDG, look for major price gaps or one pool carrying nearly all activity.
• Use conservative slippage settings. Thin pools and volatile launches can fill far away from the quoted price if slippage is too loose.