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On March 31, the Dubai Virtual Assets Regulatory Authority (VARA) released version 2.1 of the 'Trading Platform Service Rules Manual,' which clarifies the methods for licensed crypto companies to offer crypto derivatives trading in Dubai. The framework covers requirements such as customer suitability, leverage and margin controls, asset segregation, disclosure standards, and regulatory intervention authority. This framework applies to licensed Virtual Asset Service Providers (VASP) operating in Dubai.

[Dubai Releases Regulatory Framework for Crypto Derivatives]On March 31, the Dubai Virtual Assets Regulatory Authority (VARA) released version 2.1 of the 'Trading Platform Service Rules Manual,' which clarifies the methods for licensed crypto companies to offer crypto derivatives trading in Dubai. The framework covers requirements such as customer suitability, leverage and margin controls, asset segregation, disclosure standards, and regulatory intervention authority. This framework applies to licensed Virtual Asset Service Providers (VASP) operating in Dubai.

Dubai Releases Regulatory Framework for Crypto Derivatives

On March 31, according to Nikkei Asia, Mitsubishi Corporation plans to soon begin using JPMorgan's blockchain technology for global fund transfers, enabling instant remittances through this service. JPMorgan is also seizing this opportunity to promote its blockchain payment products to more Japanese companies.

[Mitsubishi Corporation Plans to Use JPMorgan's Blockchain Services for Global Fund Transfers]On March 31, according to Nikkei Asia, Mitsubishi Corporation plans to soon begin using JPMorgan's blockchain technology for global fund transfers, enabling instant remittances through this service. JPMorgan is also seizing this opportunity to promote its blockchain payment products to more Japanese companies.

Mitsubishi Corporation Plans to Use JPMorgan's Blockchain Services for Global Fund Transfers

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

Following in the footsteps of South Korea, the United States and Interpol, Do Kwon now faces allegations of a US$57 million lawsuit filed by its investors in Singapore. The class action lawsuit accuses Do Kwon and its affiliates of intentionally misrepresenting the price stability of its UST stablecoin. The lawsuit claims that investors "believed that the UST would be a stable token by design and that its price would always be pegged to the US dollar". In addition, they argue that Do Kwon deliberately structured the Anchor protocol, a Defi protocol with a high interest rate, in order to attract customers to buy more USTs.

Detail

【Do Kwon faces a new $57 million lawsuit from investors again in Singapore】Following in the footsteps of South Korea, the United States and Interpol, Do Kwon now faces allegations of a US$57 million lawsuit filed by its investors in Singapore. The class action lawsuit accuses Do Kwon and its affiliates of intentionally misrepresenting the price stability of its UST stablecoin. The lawsuit claims that investors "believed that the UST would be a stable token by design and that its price would always be pegged to the US dollar". In addition, they argue that Do Kwon deliberately structured the Anchor protocol, a Defi protocol with a high interest rate, in order to attract customers to buy more USTs.

Do Kwon faces a new $57 million lawsuit from investors again in Singapore

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Do Kwon faces a new $57 million lawsuit from investors again in Singapore

Disclaimer：Il contenuto di cui sopra non rappresenta le posizioni di HTX.，HTX non fornisce alcuna raccomandazione di trading.。

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