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New #Solana DEX @Titan_Exchange picking up speed.

The so-called meta DEX aggregator bests Jupiter on price 80% of the time, says Titan CEO

Breaking news: SBF's empire crumbles! $1B in assets seized, including Robinhood stock, crypto wallets, and private jets. The fall of a crypto titan reveals the consequences of fraud. What's next in this high-stakes financial saga? 🚨💸 #CryptoScandal #FTXCollapse By AGI…

Bitcoin’s price movements align with historical trends, reflecting past market cycles. Analysts monitor RSI Bollinger Band % levels and bullish divergence signals for potential breakout indicators. Technical Analyst CryptoCon analyzed Bitcoin’s price cycles using RSI Bollinger Band % data. Bitcoin has reached critically low RSI Bollinger Band % levels, which have preceded market breakouts in past cycles. CryptoCon’s analysis identifies Bitcoin’s market phases , including bear market breakouts, early tops, all-time high (ATH) breaks, and cycle tops. Previous instances in 2013, 2017, and 2021 followed similar trends, with market cycle tops forming nine months after Phase 4 completion. His current data shows Bitcoin nearing another ATH, resembling March 2017. This phase completion has historically preceded cycle tops, with December 2024 projected as the next peak. The RSI Bollinger Band % time frame highlights a consolidation phase before sharp price movements. Analysts note that low confidence and altcoin weakness align with past bullish breakouts. Titan of Crypto examined Bitcoin’s market structure, focusing on RSI bullish divergence patterns. Historical data shows previous bullish divergence points. These patterns have led to major price rallies in past cycles. The analyst identified two key divergence points in mid-2023, resulting in 23% and 96% price surges. Bitcoin’s latest RSI divergence indicates another potential price increase, similar to past trends. Bitcoin trades at approximately 85,000 USDT , with RSI forming higher lows despite price declines. The time frame of Titan of Crypto highlights a structural support zone, suggesting a possible relief rally. The analyst also noted that past bullish divergences formed near critical price levels, reinforcing breakout potential. The RSI trend signals a shift in market momentum, mirroring previous rally conditions. Market watchers project that if the pattern continues, Bitcoin may see another price increase, following the established cyclical behavior observed in past market trends. DISCLAIMER: The information on this website is provided as general market commentary and does not constitute investment advice. We encourage you to do your own research before investing.

Ethereum researcher Malik672 has dropped a research post proposing a new algorithm using random allocation of transaction orders to address the growing problem of centralisation on the Ethereum network. Specifically, he used Byzantine Fault Tolerance (BFT) to remove Maximal Extractable Value (MFV). BFT means the network continues to run despite a dishonest node polluting it with false information. MFV means a dishonest actor uses inside information about the Ethereum network to make money on the market. Toni Wahrstatter, an Ethereum Foundation researcher, found that in the first two weeks of October 2024, 89% of Ethereum blocks were handled by only two block builders, Beaverbuild and Titan Builder. Malik672 found that the figure has since dropped to 80%, but it still shows that Ethereum is far from decentralized. “Ethereum’s shift to PoS and adoption of PBS”, wrote Malik672, “separates block proposing (validators) from building (specialized builders) to address MEV disparities”. “Yet, centralization persists: as of February 2025, approximately 80% of Ethereum blocks are proposed by just two entities—large builder-relay coalitions like Flashbots and their peers—concentrating power and profits. This undermines Ethereum’s decentralized ethos”. For example, let’s assume a trader wants to make a huge transaction on a decentralized exchange (DEX). A trader with inside access, conducts an MEV trade by performing a sandwich attack. This means the trader buys the token before the large transaction and then sells after the price increases. The problem, referring back to Malik672’s research, is that a centralized blockchain allows bad actors to use inside information to have an unfair advantage on the market. The regular trader pays more, while the corrupt insider pays less. Malik672’s system would decentralize block building, using a random generator and distributing the building process to thousands of clients worldwide. The current system uses Prosper Builder Separation (PBS) to limit MEV. However, the new random distribution system could have added benefits, such as optimising mempool handling and faster transactions. “This proposal”, wrote Malik672, “introduces a decentralized random block proposal system. All Ethereum clients—not a handful of builders—construct blocks using a cryptographically random algorithm”. “Validators execute these blocks, achieving consensus via N ≥ 3T + 1 BFT. This eliminates block-level MEV, fully democratizes block proposing across Ethereum’s node network, and aligns with its trustless roots, while remaining compatible with Danksharding’s blob requirements”. However, this approach could have major drawbacks, requiring extensive testing before it is rolled out on the network. One possible drawback could be large overhead problems from distributing the block building process to thousands of clients. This may increase the amount of computation needed, thus making the network even slower. Another drawback could be the increased risk of Sybil Attacks, which means that one bad actor could generate multiple fake clients to gain more inside information and MEV. Further, Decision-Making Complexity may increase because so many block builders may disagree more on transactions, causing more problems for the Ethereum network. “PBS optimizes for rollup scalability”, wrote Malik672, “but this system prioritizes fairness and full democratization—crucial as centralization creeps in. It’s a trade-off: trustlessness over L2 precision”. “For an Ethereum valuing equity over efficiency, this wins; for one chasing scalability, PBS holds. Redesigning for rollup-specific optimization could bridge the gap, making it a versatile contender”.