Ethereum's Virtual Machine (EVM) faces challenges in meeting future high-frequency trading (HFT) demands due to its current performance limitations. The EVM processes transactions sequentially, with gas fees and block times constraining throughput. While Ethereum's Layer 2 solutions, like rollups, improve scalability, they still rely on the EVM's base layer, which struggles with sub-millisecond execution required for HFT. Optimistic and ZK-rollups enhance transaction speeds, but latency and finality issues persist. Alternatives like Solana or specialized blockchains with parallel processing outperform the EVM in HFT contexts. Ethereum's roadmap, including sharding and EVM upgrades, aims to boost efficiency, but these are not yet fully implemented. For HFT, where microseconds matter, the EVM's architecture may require significant enhancements or reliance on off-chain solutions to compete effectively.