AI Tokens Surge 18%-32% Amid Market Volatility, Mantra Crashes 90.54%

Generated by AI AgentCoin World
Sunday, Apr 20, 2025 3:13 pm ET2min read

This week, the crypto market saw significant movements, with some tokens surging while others plummeted. Leading the gains were Core [CORE], Bittensor [TAO], and Artificial Superintelligence

[FET], while Mantra [OM], Movement [MOVE], and [WAL] experienced substantial losses.

The week began with a bearish sentiment sweeping through the market, particularly affecting Mantra [OM], which suffered a sharp crash. This event triggered widespread risk-off behavior, causing numerous tokens to face drawdowns. However, AI-focused assets defied the trend, capitalizing on the market’s uncertainty to surge ahead with impressive double-digit returns.

Core [CORE] surged by 32.45% over the week, decisively breaking through the pivotal $0.60 resistance level after two months of consolidation. Despite opening the week with a bearish gap, the selling pressure was swiftly absorbed, triggering a sharp rebound. However, caution is warranted as overbought conditions begin to emerge, potentially signaling a trend exhaustion.

Bittensor [TAO] spearheaded the AI-driven rally, posting a 20.83% weekly surge to break through the key $300 resistance level. Following a retracement to pre-election support levels, the asset initiated a relief rally, confirmed by four consecutive bullish daily closes. The Relative Strength Index (RSI) now shows a bullish divergence relative to prior local highs, underscoring a potential momentum shift favoring the bulls. From a macro perspective, the move reinforces the thesis of AI-native tokens outperforming in a risk-off environment.

Artificial Superintelligence Alliance [FET] logged an 18% weekly gain, placing it just behind

on the leaderboard of top-performing assets. The breakout above the $0.50 resistance confirms bullish continuation from a prior accumulation range. However, the token is still capped below the $0.60 macro supply zone, which could trigger a short-term mean reversion if bullish volume fails to expand. FET’s price structure reflects calculated accumulation, with daily candles showing tight-bodied bullish closes and volume spiking 103% to $124.5 million.

On the losing side, Mantra [OM] closed the week as the market’s worst performer, tumbling by a staggering 90.54%. The crash was triggered on the 13th of April, when

collapsed from $6.35 to under $0.10 within a single session, marking a textbook case of a flash crash. Technically, OM broke through several key support levels with barely any buying interest, showing a clear breakdown in structure. The RSI dropped below 18, showing extreme overselling, and the token hasn’t formed a stable bottom yet.

Movement [MOVE] experienced a 32.21% weekly decline, positioning it as the second-worst performer of the week. The week began with a breakdown below the critical $0.30 support level, signaling weakening demand. Given the absence of strong buyer absorption and a failure to establish a higher low, a strong reversal remains premature. Until $0.30 is reclaimed with significant volume, MOVE is at risk of further downside pressure.

Walrus [WAL] registered a 14.66% weekly retracement, sliding to $0.40 and ranking as the third-largest decliner over the past seven days. The correction effectively nullified prior upside momentum, reversing the gains from last week’s close at $0.52. However, a closer look at the 1D price structure suggests early signs of potential stabilization, with WAL closing the week with an 11.08% intraday rebound. The $0.38–$0.40 price band now acts as a key intraday support cluster, and a sustained defense of this zone could pave the way for sideways consolidation in the near term.

In summary, the crypto market this week was characterized by significant volatility, with AI-focused tokens leading the gains while other sectors faced substantial losses. The market’s inherently volatile nature underscores the importance of conducting thorough due diligence before making any investment decisions.

Aime Insights

Aime Insights

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