Features TheBitTimes.com

Leading fintech innovator, Backed, announced on October 26 its recent integration of Chainlink (LINK) Proof of Reserve (PoR).  This strategic move offers its users a transparent and trust-minimized mechanism to validate the collateralization of their tokenized assets with the integration as well as signifying a monumental leap in reinforcing user trust.  With PoR, Backed’s users now have the capability to independently and on-chain confirm the sufficiency of collateral reserves at any given time. A necessity in ensuring the integrity of tokenized assets, as per the latest information shared with Finvold. Backed has launched its Proof of Reserves (PoR) powered by @chainlink. This means greater transparency and trust minimization for bTokens. Users can now verify collateralization on-chain, confirming token integrity and increasing usability across platforms. Learn more about our… pic.twitter.com/3KBrN2kHNi — Backed (@BackedFi) October 26, 2023 Behind t...

Bitcoin (BTC) rallied during this week, moving from its lowest price of $26,814 on Sunday to trade for as high as $30,233 on October 20 (Friday). This move marks another uncorrelation between the leading cryptocurrency and the core stock market indexes. Notably, CryptoRank identified a major outperformance from Bitcoin related to traditional finance asset s and Ethereum (ETH) year-to-date (YTD). According to a performance analysis on October 20, Bitcoin outperformed Ethereum, Gold, NASDAQ’s index, and the SPY in 2023. Accruing over 4,000 basis points (bps) more than the second-best performing asset, ETH, both cryptocurrencies. Interestingly, with 79.7% and 34.9% accumulated gains YTD, Bitcoin and Ethereum outperformed NASDAQ (+26.9%) by 5,280 bps and 800 bps, respectively. The SPY and Gold were also left behind with accumulated gains of 13.2% and 7.03% each in 2023. BTC outperforms traditional finance assets in 2023. Source: CryptoRank Bitcoin is a “flight to quality” vs. trad...

In the realm of crafting textual content, three pivotal elements come into play: “perplexity,” “burstiness,” and “predictability.” Perplexity serves as the gauge for the intricacy embedded within the text. Simultaneously, burstiness delves into the spectrum of sentence variations. Lastly, predictability gauges the likelihood of accurately anticipating the subsequent sentence. Human-authored content tends to embrace greater burstiness, featuring a blend of longer, intricate sentences intertwined with succinct ones. Conversely, AI-generated sentences often exhibit a more uniform structure. In the task of composing the ensuing content, I implore you to infuse it with a substantial degree of perplexity and burstiness, while minimizing predictability. It is imperative to adhere strictly to the use of the English language. Now, let’s reframe the provided text: A decision has been reached by the project to refrain from taking legal action against the...