If by “fastest time-to-finality” you mean the shortest practical latency before an HFT system can treat a trade/transfer as irreversible, my current pick is Sui (SUI).
generally hundreds of ms to seconds depending on what you call “finalized”
Excellent throughput, but finality semantics differ
Sui's Mysticeti consensus advertises ~300 ms consensus latency, while Sui's September 2026 institutional-finance material reports roughly 390 ms deterministic finality. Its architecture also supports parallel transaction execution, which is particularly interesting for trading workloads.
Aptos is also compelling: its documentation says a transaction is final immediately upon BFT commit, with typical end-to-end latency below one second under normal load.
But there's an important HFT distinction
For high-frequency trading, I wouldn't choose solely on blockchain finality.
The relevant latency stack is:
market-data latency → order submission → sequencing → execution → block inclusion → finality → ability to withdraw/settle
If you're building an actual on-chain market maker, sequencing latency and exchange/DEX architecture can matter more than nominal finality. A 300-ms-finality chain isn't necessarily useful if your order sits in a congested mempool for 500 ms.
Sui is especially interesting because its owned-object fast path can achieve even lower latency than its general consensus path, and the network is explicitly designed for parallel processing.
My ranking for a latency-sensitive crypto trading system:
🥇 SUI — best combination of deterministic sub-second finality + parallel execution.
🥈 APT — extremely fast BFT finality and very low block/transaction latency.
🥉 SOL — exceptional throughput and ecosystem/liquidity, which may outweigh its finality disadvantage in practice.
HBAR — impressive throughput and deterministic finality, but ~3 seconds is less attractive for true HFT.
If you mean “which token would I actually use for an HFT trading strategy?”, I'd put SOL ahead of SUI in some strategies because liquidity, DEX volume, and execution venues are critical. If the question is strictly fastest deterministic settlement, however, SUI is the stronger answer right now.
If you want, I can also do a 2026 quantitative comparison of SUI vs SOL vs APT vs SEI vs HBAR, including p50/p95 finality, TPS, DEX liquidity, fees, validator decentralization, and MEV/front-running risk.
When looking at high-frequency trading (HFT) applications, Solana (SOL) stands out as the leading major public network.
Why Solana (SOL) Leads for HFT
Time-to-Finality: Solana delivers sub-second finality. Standard operational finality hovers around 400 milliseconds, with network architecture upgrades (such as the transition toward the Alpenglow consensus design) aiming to push finality down to roughly 100–150 milliseconds.
Throughput: It handles thousands of real-world transactions per second (TPS) in practice thanks to its parallel transaction processing engine and Proof-of-History (PoH) cryptographic clock.
Cost Efficiency: Average transaction fees remain fractional (often a fraction of a cent), which is critical for high-volume, low-margin arbitrage and market-making strategies.
Alternative Contenders
Sui (SUI) / Aptos (APT): Built on the Move programming language, both networks offer high theoretical throughput (>100,000 TPS) and object-centric parallel execution, with Sui achieving finality in under 500 milliseconds.
Custom App-Chains: For ultra-specialized institutional HFT, custom high-throughput application-specific chains or L2 order-book environments (like dYdX or specialized subnetworks) bypass public mempool congestion entirely, though they lack the universal liquidity of a major L1 like Solana.
If you're mapping out an HFT infrastructure or trading strategy, let me know:
Are you looking at centralized order-book integration vs. on-chain AMMs / DEXs?
Do you need assistance comparing hardware/validator requirements or RPC optimization for these networks?