Analysis

Tuesday's Crypto Winners Had a Rough Wednesday. Mina Fell Below 10 Cents

Tellor erased its entire October 6 gain, API3, Band, iExec and Numerai all fell 7-13%, and Mina Protocol dropped another 19% to its lowest close since September 16. Gitcoin and The Sandbox went the other way.

On Tuesday, October 6, a handful of small crypto tokens had their best days in months. On Wednesday, October 7, almost all of them went into reverse. Here's how the day-after looked for the biggest names:

Tellor (TRB) fell 12.90% to $19.92, below Tuesday's opening price of $20.53, which means the entire 11.4% gain was gone within 24 hours. API3 lost 9.63% to $0.3105, and Band Protocol (BAND) fell 7.75% to $0.2237. iExec's RLC dropped 8.28% to $0.6814, and Numeraire (NMR), which jumped 58% in a single fifteen-minute candle on Tuesday, fell 6.89% to $14.99. Orca lost 10.61%. Even the large oracle tokens that hadn't rallied fell: Chainlink lost 4.53% to its lowest close since September 24.

Mina Protocol was in a category of its own. MINA, which set its 2026 high of $0.1714 on October 5, fell 18.96% on Wednesday to $0.0923, its lowest close since September 16, after slipping below $0.10 in the 12:00 UTC hour. Early on Thursday it reached $0.0883, about 48% below the peak in three days.

Not everything fell. Gitcoin's GTC, which lost 20.76% on Tuesday, rebounded 28.16% to $0.1906, its highest close since November 10, 2025, after touching $0.2154 in the European morning. The Sandbox's SAND rose 16.71% to $0.0779, its highest close since May 14, on volume more than six times its average.

The pattern is the same one that has run through October: money moving quickly from one small token to the next, with most of the gains in each one coming in a single burst. For a trader, the practical lesson is about timing rather than direction. This month, the day after a burst has often been a down day, and a token chased on the morning after its big candle has rarely been far from its peak.

By Trade2Spike Team, in-house editorial team. About us · Methodology