7*24

Hot topic

Market

Activities

On March 31, Alipay released the country's first 'Payment Integration Skill', deeply encapsulating basic payment capabilities into standardized components. Additionally, Alipay upgraded its 'sandbox environment', allowing developers to complete full-link payment testing without real funds and before officially launching payment products. (Yicai)

[Alipay Launches Payment Integration Skill]On March 31, Alipay released the country's first 'Payment Integration Skill', deeply encapsulating basic payment capabilities into standardized components. Additionally, Alipay upgraded its 'sandbox environment', allowing developers to complete full-link payment testing without real funds and before officially launching payment products. (Yicai)

Alipay Launches Payment Integration Skill

On March 31, as conflicts in the Middle East triggered a surge in oil prices and raised inflation concerns, the global interest rate market experienced a dramatic "hawkish repricing"—shifting from expectations of multiple rate cuts by the Federal Reserve at the beginning of the year to pricing in rate hikes by the end of the year. Goldman Sachs is questioning this significant shift in market pricing for the year. The bank stated that investors are overestimating the likelihood of the Federal Reserve raising rates in response to the current spike in oil prices. Goldman Sachs strategist Dominic Wilson elaborated on the bank's viewpoint in a research report: the market is overreacting to the oil shock, betting on the Fed to implement tightening policies, whereas historical experience suggests that this is unlikely to happen. The historical reference from 1990 is central to Goldman Sachs' judgment. During that year, when faced with an oil supply shock, bond market yields soared, and investors bet on the Fed tightening policy. However, the Fed ultimately took the opposite approach, choosing to cut rates amid a deteriorating economic situation. Goldman Sachs' core logic is that inflation driven by rising oil prices is a supply-side shock rather than a demand-side overheating. Historically, the Fed tends to ignore supply-side inflation pressures and does not tighten monetary policy as a result. This tendency becomes more pronounced when economic growth is already slowing.

[Goldman Sachs: Fed Will Eventually Cut Rates, Referencing 1990 Oil Crisis]On March 31, as conflicts in the Middle East triggered a surge in oil prices and raised inflation concerns, the global interest rate market experienced a dramatic "hawkish repricing"—shifting from expectations of multiple rate cuts by the Federal Reserve at the beginning of the year to pricing in rate hikes by the end of the year. Goldman Sachs is questioning this significant shift in market pricing for the year. The bank stated that investors are overestimating the likelihood of the Federal Reserve raising rates in response to the current spike in oil prices. Goldman Sachs strategist Dominic Wilson elaborated on the bank's viewpoint in a research report: the market is overreacting to the oil shock, betting on the Fed to implement tightening policies, whereas historical experience suggests that this is unlikely to happen. The historical reference from 1990 is central to Goldman Sachs' judgment. During that year, when faced with an oil supply shock, bond market yields soared, and investors bet on the Fed tightening policy. However, the Fed ultimately took the opposite approach, choosing to cut rates amid a deteriorating economic situation. Goldman Sachs' core logic is that inflation driven by rising oil prices is a supply-side shock rather than a demand-side overheating. Historically, the Fed tends to ignore supply-side inflation pressures and does not tighten monetary policy as a result. This tendency becomes more pronounced when economic growth is already slowing.

Goldman Sachs: Fed Will Eventually Cut Rates, Referencing 1990 Oil Crisis

On March 31, according to Jiemian News, Yao Cai Securities announced that Ant Group successfully acquired a 50.55% stake in the company for HKD 2.814 billion, completing the equity transfer. All necessary regulatory approvals and conditions for the transfer have been met. Public records show that Yao Cai Securities was founded in 1995 by Ye Maolin, and the company was listed on the main board of the Hong Kong Stock Exchange in 2010. It holds full business licenses numbered 1, 2, 4, 5, 6, and 9 from the Hong Kong Securities and Futures Commission. Its core business includes securities brokerage, margin financing, commodities and futures brokerage, and spot financial trading, making it the only trader in Hong Kong to offer real-time trading volume and price.

[Ant Group Acquires 50.55% Stake in Yao Cai Securities for HKD 2.814 Billion]On March 31, according to Jiemian News, Yao Cai Securities announced that Ant Group successfully acquired a 50.55% stake in the company for HKD 2.814 billion, completing the equity transfer. All necessary regulatory approvals and conditions for the transfer have been met. Public records show that Yao Cai Securities was founded in 1995 by Ye Maolin, and the company was listed on the main board of the Hong Kong Stock Exchange in 2010. It holds full business licenses numbered 1, 2, 4, 5, 6, and 9 from the Hong Kong Securities and Futures Commission. Its core business includes securities brokerage, margin financing, commodities and futures brokerage, and spot financial trading, making it the only trader in Hong Kong to offer real-time trading volume and price.

Ant Group Acquires 50.55% Stake in Yao Cai Securities for HKD 2.814 Billion

According to monitoring by 1M AI News, Snorkel AI has released FinQA, a reinforcement learning training environment built on real SEC 10-K financial documents, now open-sourced on the OpenEnv platform jointly maintained by Meta PyTorch and Hugging Face. FinQA covers 290 expert-annotated financial questions from 22 publicly traded companies, including Alphabet, Amazon, Apple, Bank of America, and Boeing, providing the Agent with four MCP tools: listing available financial tables, retrieving table structures, executing SQL queries, and submitting answers. SQL enforces filtering conditions and prohibits `SELECT *`, forcing the Agent to only retrieve the necessary data instead of dumping the entire table. Snorkel AI collaborated with the rLLM team at the University of California, Berkeley, to fine-tune Qwen3-4B using FinQA, resulting in a score of 59.7% on the financial Q&A benchmark SnorkelFinance, surpassing the same series Qwen3-235B (51.37%), with approximately 1/60th the number of parameters and a 90% reduction in inference cost. Key findings: while large models can reason, they may produce hallucinated column names and ignore SQL constraints; in contrast, the smaller model trained with RL can accurately invoke tools, indicating that 'tool discipline' rather than scale is the bottleneck. FinQA is the first open-source environment released by Snorkel AI on OpenEnv, with plans to launch multi-turn enterprise environments covering industries such as healthcare, insurance, and law in the future.

[RL Fine-Tuning Enables 4B Model to Outperform 235B in Financial Q&A: Snorkel AI Releases Open Source FinQA Training Environment]According to monitoring by 1M AI News, Snorkel AI has released FinQA, a reinforcement learning training environment built on real SEC 10-K financial documents, now open-sourced on the OpenEnv platform jointly maintained by Meta PyTorch and Hugging Face. FinQA covers 290 expert-annotated financial questions from 22 publicly traded companies, including Alphabet, Amazon, Apple, Bank of America, and Boeing, providing the Agent with four MCP tools: listing available financial tables, retrieving table structures, executing SQL queries, and submitting answers. SQL enforces filtering conditions and prohibits `SELECT *`, forcing the Agent to only retrieve the necessary data instead of dumping the entire table. Snorkel AI collaborated with the rLLM team at the University of California, Berkeley, to fine-tune Qwen3-4B using FinQA, resulting in a score of 59.7% on the financial Q&A benchmark SnorkelFinance, surpassing the same series Qwen3-235B (51.37%), with approximately 1/60th the number of parameters and a 90% reduction in inference cost. Key findings: while large models can reason, they may produce hallucinated column names and ignore SQL constraints; in contrast, the smaller model trained with RL can accurately invoke tools, indicating that 'tool discipline' rather than scale is the bottleneck. FinQA is the first open-source environment released by Snorkel AI on OpenEnv, with plans to launch multi-turn enterprise environments covering industries such as healthcare, insurance, and law in the future.

RL Fine-Tuning Enables 4B Model to Outperform 235B in Financial Q&A: Snorkel AI Releases Open Source FinQA Training Environment

Bitcoin Fear and Greed Index is 11. Extreme Fear.
Current Price: $67683.52.

[Bitcoin Fear and Greed Index is 11]Bitcoin Fear and Greed Index is 11. Extreme Fear.
Current Price: $67683.52.

Bitcoin Fear and Greed Index is 11

On March 31, according to monitoring data from Farside, the US Bitcoin spot ETF had a net inflow of $69.4 million yesterday, while the Ethereum spot ETF saw a net inflow of $5 million.

[US Bitcoin Spot ETF Sees $69.4 Million Net Inflow, Ethereum ETF Sees $5 Million Net Inflow]On March 31, according to monitoring data from Farside, the US Bitcoin spot ETF had a net inflow of $69.4 million yesterday, while the Ethereum spot ETF saw a net inflow of $5 million.

US Bitcoin Spot ETF Sees $69.4 Million Net Inflow, Ethereum ETF Sees $5 Million Net Inflow

On March 31, according to the official website, the decentralized derivatives trading platform edgeX has launched the EDGE airdrop query page and will open token trading today at 20:30.

[edgeX Launches EDGE Airdrop Query Page, Token Trading Opens Today at 20:30]On March 31, according to the official website, the decentralized derivatives trading platform edgeX has launched the EDGE airdrop query page and will open token trading today at 20:30.

edgeX Launches EDGE Airdrop Query Page, Token Trading Opens Today at 20:30

As of March 31, according to the latest data from BeatSwap, over 6 million BTX tokens have been staked. The current effective supply available for full circulation is approximately 3.06%, while the staking scale corresponds to 13.2% of this circulating level. This indicates that market participation is continuously increasing despite the limited tradable supply. As BeatSwap's application scenarios continue to expand, on-chain staking participation is also steadily growing, reflecting users' long-term confidence and increasing activity within the ecosystem.

[BeatSwap Announces Continued Growth in BTX Token Staking, Surpassing 6 Million Tokens]As of March 31, according to the latest data from BeatSwap, over 6 million BTX tokens have been staked. The current effective supply available for full circulation is approximately 3.06%, while the staking scale corresponds to 13.2% of this circulating level. This indicates that market participation is continuously increasing despite the limited tradable supply. As BeatSwap's application scenarios continue to expand, on-chain staking participation is also steadily growing, reflecting users' long-term confidence and increasing activity within the ecosystem.

BeatSwap Announces Continued Growth in BTX Token Staking, Surpassing 6 Million Tokens

On March 31, according to CCTV, the Israel Defense Forces announced that they have recently completed a new round of airstrikes on Tehran. The IDF stated that the targets of this attack were the infrastructure of the Iranian regime, although specific details have not been disclosed.

[IDF Completes New Round of Airstrikes on Tehran Targeting Iranian Regime Facilities]On March 31, according to CCTV, the Israel Defense Forces announced that they have recently completed a new round of airstrikes on Tehran. The IDF stated that the targets of this attack were the infrastructure of the Iranian regime, although specific details have not been disclosed.

IDF Completes New Round of Airstrikes on Tehran Targeting Iranian Regime Facilities

Mike Kondoudis, the USPTO licensed trademark attorney, tweeted that Nike has filed 3 trademarks for its .SWOOSH Web3 platform. The applications cover: virtual footwear, clothing, sports gear; virtual + crypto goods marketplaces; custom manufacture of real-world versions of digital footwear + apparel.

Detail

【Nike files 3 trademarks for its .SWOOSH Web3 platform】Mike Kondoudis, the USPTO licensed trademark attorney, tweeted that Nike has filed 3 trademarks for its .SWOOSH Web3 platform. The applications cover: virtual footwear, clothing, sports gear; virtual + crypto goods marketplaces; custom manufacture of real-world versions of digital footwear + apparel.

Nike files 3 trademarks for its .SWOOSH Web3 platform

Article

Trump's Influence Fades: Market Immune to Verbal Assurances as U.S. Stocks Drop for Five Consecutive Weeks

Dollar Strengthens Again Amid Concerns Over Escalating War

Digital Asset Investment Products Experience $414 Million Net Outflow Last Week, First Outflow in Five Weeks

BTC broke through 68000  USDT

Powell: Long-term Inflation Expectations Remain Stable, No Urgent Response to Energy Shock Needed

Nike files 3 trademarks for its .SWOOSH Web3 platform

Descargo de responsabilidad：El contenido anterior no representa las posiciones de HTX.，HTX no ofrece ninguna recomendación de trading.。

Artículos relacionados

Todos los comentarios0Lo más recientePopular

Temas populares

Artículos relacionados