October was a very eventful month for the crypto 0 marking negative returns for the first time since 2018, the month witnessed several developments that could affect the price trajectory of certain cryptocurrencies. A monthly research report by the world’s largest cryptocurrency exchange, Binance, has offered insights into what really happened in 1 have also identified trends that have begun to gain momentum in 2 Rise of Privacy-focused Chains The $19 billion liquidation on October 10, which resulted in the unwinding of excessive leverage, triggered a negative trend that led to the crypto market experiencing its first red October in seven 3 market ended last month with a 6.1% plunge amid heightened uncertainty from the 4 and a rate cut by the Federal 5 the decline in total crypto market capitalization, Bitcoin’s dominance increased to 59.4%, while Ethereum’s fell slightly to 12.6%.
Institutional interest in Ethereum waxed strong, with new altcoin exchange-traded funds (ETFs) recording significant inflows. Additionally, privacy coins witnessed a significant 6 on the top three privacy-focused blockchains increased by more than 30%. Zcash led the trend with a 160% surge in daily transaction 7 is also working on integrating privacy features to balance confidentiality with regulatory compliance. “Advances in zero-knowledge technology and adoption by decentralized apps highlight growing market interest and positive momentum for privacy-focused solutions in the crypto ecosystem,” Binance Research 8 November End Positively?
Besides privacy blockchains, the industry also witnessed a rising interest in x402, an open payment protocol that reactivates the HTTP 402 9 transactions using this standard surpassed 720,000. Analysts found that one-click HTTP mints initially drove the growth of the protocol; however, integrations by Google and Cloudflare reinforced the 10 Research believes that the two narratives currently defining the ecosystem include the speculative and the structural. Memecoin-led mints fuel the former, while adoption from artificial intelligence (AI) agents for autonomous payments drives the 11 November progresses, an AI model trading competition is gaining 12 competition has analyzed several trading behaviors, disclosing that success depends more on disciplined risk management than on prediction 13 believe the test serves as an example for AI-driven trading projects.
Meanwhile, easing trade tensions between the 14 China, coupled with the Federal Reserve’s expected end to quantitative tightening in a few weeks, could provide positive market catalysts by 15 remains to be seen if November will end on a positive or negative note.
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