Crypto Weekly: RAVE Surges 1000%+, WLFI and TAO Lead Losers
RAVE soared over 1000% leading gainers, while WLFI, TAO, and ALGO dropped sharply. Market remains cautious with selective altcoin inflows and geopolitical ceasefire impact.

RAVE soared over 1000% leading gainers, while WLFI, TAO, and ALGO dropped sharply. Market remains cautious with selective altcoin inflows and geopolitical ceasefire impact.

The crypto market saw mixed performance this week, with RaveDAO surging over 1,000% to lead winners, while Zcash rallied 50% to a five-month high. On the losing side, World Financial Liberty dropped 18.58%, Bittensor fell nearly 14%, and Algorand declined 13.57%, reflecting lingering caution.

This week saw volatile but slightly positive crypto market. RAVE led with over 1000% gains, followed by SIREN and ZEC. WLFI, TAO, and ALGO were top losers. Technicals suggest caution for overbought assets and potential further downside for breakdown tokens.

The crypto market ended the week slightly positive but highly volatile. RAVE soared over 1000%, while SIREN and ZEC posted strong gains. On the losing side, WLFI, TAO, and ALGO came under pressure, reflecting continued caution and selective risk appetite in altcoins.

The crypto market ended the week slightly positive but highly volatile. RAVE jumped over 1,000%, while SIREN and ZEC also posted strong gains. On the downside, WLFI, TAO, and ALGO led weekly losses, highlighting fragile risk appetite.

The crypto market ended the week slightly higher but remained highly volatile. RAVE jumped more than 1,000%, while SIREN and ZEC also posted strong gains. On the downside, WLFI, TAO, and ALGO lagged, highlighting ongoing caution and sharp market rotation.

TAO has climbed about 90% in the past month, fueling a sharp rally across Bittensor subnet tokens. The Subnets category rose 30% in 24 hours to a $1.47 billion market cap, with several tokens posting triple-digit monthly gains.

Bittensor's TAO surged 90% in March, with subnet valuations nearing $1.5 billion. This article highlights the top 10 subnets in AI training, storage, trading, pharma, showcasing the potential of decentralized AI infrastructure.
