Here we explain what happened with Mantra, why it fell, what changed... and what the market is looking at now.
🔍 What happened with $OM?
On April 13, 2025, the token $OM experienced a sharp decline of approximately 90%, dropping from around $6.32 to lows of $0.49 within minutes. This drastic decrease was attributed to forced liquidations by centralized exchanges during low liquidity periods, leading to a cascade of sales and a significant loss of confidence among investors.
🔧 Response from the Mantra team
In response to the crisis, Mantra's CEO, John Patrick Mullin, announced a recovery plan that includes:
Token burn: Destruction of 300 million OM tokens (approximately 16.5% of the total supply), including 150 million belonging to Mullin himself.
Reduction of internal validators: Decrease in the number of internal validators to improve decentralization and restore trust in the network.
These actions aim to stabilize the token price and demonstrate the team's commitment to the long-term sustainability of the project.
📈 Current market situation
Despite the team's efforts, the price of $OM remains below $0.50, with significant resistance at that level due to selling pressure from investors looking to recover their losses. Recent data indicates that approximately 86% of $OM holders are currently at unrealized losses.
🔍 However, the recent listing of OM on the South Korean exchange Upbit on May 21, 2025, triggered a 15.7% increase in its price and a 154.4% increase in trading volume, suggesting renewed interest from investors.
🧠 Conclusion
The fall of the token $OM has been a reminder of the inherent risks in the cryptocurrency market, especially in projects with high exposure to market liquidity and leveraged operations. While the measures taken by the Mantra team are steps in the right direction, complete recovery will depend on the project's ability to restore investor confidence and demonstrate solid and transparent management in the future.
🔁 Share if this analysis helps you
💬 Comment on which token we analyze next
❤️ Follow us for more data-driven analysis
