Federal Reserve Lowers Interest Rates Again

The post China Launches Cross-Border QR Code Payment Trial appeared on BitcoinEthereumNews.com. Key Points: Main event involves China initiating a cross-border QR code payment trial. Alipay and Ant International are key participants. Impact on financial security and regulatory focus on illicit finance. China’s central bank, led by Deputy Governor Lu Lei, initiated a trial of a unified cross-border QR code payment gateway with Alipay and Ant International as participants. This pilot addresses cross-border fund risks, aiming to enhance financial security amid rising money laundering through digital channels, despite muted crypto market reactions. China’s Cross-Border Payment Gateway Trial with Alipay The trial operation of a unified cross-border QR code payment gateway marks a milestone in China’s financial landscape. Prominent entities such as Alipay and Ant International are at the forefront, participating as the initial institutions in this venture. Lu Lei, Deputy Governor of the People’s Bank of China, highlighted the systemic risks posed by increased cross-border fund flows. Changes are expected in the dynamics of digital transactions, potentially enhancing transaction efficiency while tightening regulations around illicit finance. The initiative underscores China’s commitment to bolstering financial security amidst growing global fund movements. “The scale of cross-border fund flows is expanding, and the frequency is accelerating, providing opportunities for risks such as cross-border money laundering and terrorist financing. Some overseas illegal platforms transfer funds through channels such as virtual currencies and underground banks, creating a ‘resonance’ of risks at home and abroad, posing a challenge to China’s foreign exchange management and financial security.” — Lu Lei, Deputy Governor, People’s Bank of China Bitcoin and Impact of China’s Financial Initiatives Did you know? China’s latest initiative echoes the Payment Connect project of June 2025, furthering real-time cross-boundary remittances and expanding its influence on global financial systems. As of September 17, 2025, Bitcoin (BTC) stands at $115,748.72 with a market cap of $2.31 trillion, showing a 0.97%…

The post REX-Osprey Debuts First U.S. Spot ETFs Offering Exposure To XRP, Dogecoin ⋆ ZyCrypto appeared on BitcoinEthereumNews.com. Advertisement &nbsp &nbsp For the first time in the United States, exchange-traded funds (ETFs) tracking the price and offering spot exposure to XRP and Dogecoin have hit Wall Street. These are the first funds under full regulatory oversight, marking a pivotal moment for these two major cryptocurrencies in mainstream finance. DOGE And XRP ETFs Go Live The REX-Osprey XRP ETF started trading on US exchanges on Sept. 18 with the ticker symbol XRPR. The two companies also introduced their REX-Osprey DOGE ETF, tickered DOJE. REX Shares and Osprey launched the two products under the Investment Company Act of 1940 — a federal law that provides an easier approval path than the Securities Act of 1933 used for other popular crypto exchange-traded fund approval processes.  Unlike investment vehicles that directly hold the underlying asset, this 1940 Act structure allows the ETF to automatically debut 75 days after application unless the SEC halts the launch. Today’s Wall Street debut marks a turning point for Dogecoin and XRP, potentially opening the floodgates of institutional capital into these markets. Advertisement &nbsp REX-Osprey’s Solana fund was the first, and is still the only, ETF to track the price of SOL, the sixth-largest crypto by market cap. It was also the first fund in the United States to add staking rewards. This “will be another good litmus test for ‘33 Act spot XRP ETF demand,” ETF Store president Nate Geraci recently noted, adding that futures-based XRP ETFs are already nearing $1 billion in assets. Meanwhile, the DOJE ETF marks a key milestone as the first U.S. ETF to focus on a meme coin — tokens that typically lack utility or a clear economic purpose.  The fund very quickly exceeded the expectations of Bloomberg’s Senior ETF Analyst Eric Balchunas, who initially expected a fair market…

Datadog’s Toto model was trained on roughly one trillion time series data points—75% from curated observability metrics and 25% from the LOTSA dataset. Through padding, masking, and data augmentation (including random offsets and Gaussian sampling), Datadog ensured data diversity and quality. Synthetic data (about 5%) simulated additional real-world variability via ARMA processes, seasonal trends, and noise. Together, these methods improved Toto’s robustness and ability to generalize across domains.