According to Adam Back (@adam3us), filters do not work and BitMEX Research has empirically shown, consistent with information theory, that such filters cannot work; source: Adam Back on X, Aug 28, 2025. For trading, this asserts that strategies or risk controls relying on filter-based enforcement in crypto systems carry inherent failure risk that should be accounted for in execution and operational risk models; source: Adam Back on X, Aug 28, 2025.

According to @AveryChing, decentralized networks open novel opportunities to build efficient trading systems, emphasizing efficiency as a core design goal for on-chain execution (source: @AveryChing on X, Aug 22, 2025). He amplified ideas from @jump_ and shared a link titled Global trading engine, pointing directly to trading infrastructure efforts relevant to decentralized markets (source: @AveryChing on X, Aug 22, 2025). The post did not provide launch details, asset coverage, or performance metrics, limiting immediate trading timelines or quantifiable benchmarks (source: @AveryChing on X, Aug 22, 2025).

According to Lex Sokolin, AI agents will be trading the markets at scale, as stated in a public post on X dated Aug 13, 2025. Source: Lex Sokolin, X (Aug 13, 2025). The post provides no timeline, metrics, strategies, or specific assets (including crypto such as BTC or ETH), so it does not offer a quantifiable catalyst or trade setup at this time. Source: Lex Sokolin, X (Aug 13, 2025). For crypto traders, the actionable takeaway is limited to sentiment: recognition that Lex Sokolin anticipates broader deployment of AI trading bots and algorithmic execution, but with no verifiable data to adjust risk, liquidity provisioning, or order-routing models today. Source: Lex Sokolin, X (Aug 13, 2025).