Azuki_Rose

#FHE Builds Trustworthy Security Foundation

#FHE Builds Trustworthy Security Foundation

#FHE Builds Trustworthy Security Foundation

In 2025, the Trump administration launched 'Tax Reform 2.0', with the core policy reducing the corporate tax rate from 21% to 15%, while eliminating personal income tax for individuals earning less than $200,000 annually. To make up for the fiscal revenue shortfall, the plan aims to balance the budget by increasing import tariffs. This proposal has sparked multiple controversies: the top 0.1% wealthy can save millions of dollars through estate tax reform and reduced tax rates, while middle-class families may face a heavier actual tax burden due to the elimination of tax deductions. Economists warn that tariff barriers could drive up the prices of daily necessities, and the fiscal deficit could increase by $9.2 trillion over the next decade, potentially leading to a situation where 'tax cuts are consumed by inflation.' The global capital flow pattern is also affected, with multinational corporations' overseas profit tax rates plummeting to 8%, which may trigger a new wave of industrial relocation.

Bank

#Binance dual currency investment can profit from both rising and falling

#Binance Dual Currency Investment Can Profit from Both Up and Down

#Binance dual currency investment can profit from both rising and falling

#ListLending Innovation BNBChain Lending

#ListLending Innovation BNBChain Lending

Thanks to Teacher Big Finger for sharing, I have gained a lot.

I believe that building a detailed system for professional traders in the cryptocurrency market requires the integration of multiple functional modules such as real-time data collection, technical analysis, risk control, and trade execution, thereby providing a scientific basis for trading decisions and efficient execution support. In terms of system architecture, a stable and efficient data processing platform must first be established. By capturing data from multiple exchange APIs, deep data fusion can be achieved to ensure the accuracy and timeliness of market data. At the same time, the system should integrate a high-performance matching engine and order routing mechanism to ensure rapid response and completion of trades even during significant market fluctuations.

In terms of technical indicators, the detailed system needs to incorporate various technical analysis tools, such as Moving Average (MA), Relative Strength Index (RSI), and Bollinger Bands, and finely tune their parameters based on historical data and market characteristics. For instance, moving averages can be set at 5-day, 20-day, and 60-day intervals to capture short-term, medium-term, and long-term trends; while the RSI indicator can be set with a 14-day standard period, with overbought and oversold zones set around 70 and 30, respectively, to timely identify market reversal signals. The Bollinger Bands parameters can be set according to standard deviation to flexibly adapt to market fluctuations.

Additionally, the system needs to establish a rigorous risk control module, implementing strategies such as stop-loss, take-profit, and position management to achieve scientific allocation of funds and dynamic monitoring of risks. By combining a quantitative strategy backtesting module, traders can simulate the performance of different indicator parameter combinations, further optimizing strategies and enhancing overall profitability. Overall, this system not only requires precise and scientific settings for technical indicators and parameters but also needs to achieve closed-loop management from data to decision-making to execution through multi-layered risk control and flexible execution strategies, providing solid technical support and operational assistance for professional traders in the complex and ever-changing cryptocurrency market.

Thanks to Teacher Da Shou for the explanation, I gained a lot.

I believe that building a detailed trading system for professional traders in the cryptocurrency space requires integrating multiple functional modules such as real-time data collection, technical analysis, risk control, and trade execution, thereby providing a scientific basis for trading decisions and efficient execution support. In terms of system architecture, it is essential to first establish a stable and efficient data processing platform. By capturing data from multiple exchange API interfaces, deep data integration can be achieved, ensuring the accuracy and timeliness of market data. At the same time, the system should integrate a high-performance matching engine and order routing mechanism to ensure quick response and transaction completion even during significant market fluctuations.

At the level of technical indicators, the detailed system needs to incorporate various technical analysis tools such as Moving Average (MA), Relative Strength Index (RSI), Bollinger Bands, etc., and finely tune their parameters based on historical data and market characteristics. For example, for moving averages, 5-day, 20-day, and 60-day averages can be set to capture short-term, mid-term, and long-term trends; while the RSI indicator can be set to a 14-day baseline period, with overbought and oversold ranges set around 70 and 30 respectively, to timely identify market reversal signals. The Bollinger Bands parameters can be set based on standard deviation to flexibly adapt to market fluctuations.

In addition, the system also needs to establish a rigorous risk control module, utilizing strategies like stop-loss, take-profit, and position management to achieve scientific allocation of funds and dynamic monitoring of risks. By combining the quantitative strategy backtesting module, traders can simulate the performance of different indicator parameter combinations, further optimize strategies, and enhance overall profitability. Overall, this system not only requires precise and scientific settings of technical indicators and parameters but also needs to achieve closed-loop management from data to decision-making to execution through multi-level risk control and flexible execution strategies, providing solid technical support and operational assistance for professional traders in the complex and ever-changing cryptocurrency market.

Expectations

Expectations

Binance's Alpha 2.0 marks a new exploration of the integration between centralized exchanges (CEX) and decentralized exchanges (DEX), aimed at providing users with a seamless on-chain trading experience. Through Alpha 2.0, users can directly access on-chain assets within the Binance platform without the need to create an on-chain wallet or transfer funds, simplifying the operation process.

Core highlights of Alpha 2.0:

Seamless trading experience: Users can participate in on-chain trading directly in the secure environment of CEX without switching to DEX or manually operating an on-chain wallet, lowering the entry barrier for new users while reducing the risk of asset loss due to wallet operation errors.

Enhanced liquidity: Alpha 2.0 combines Binance's deep liquidity, allowing users to enjoy better trading depth and lower slippage, improving trading efficiency.

Higher capital utilization: Users can interact on-chain directly with assets within the platform without withdrawing from CEX, improving fund usage efficiency and allowing users to participate more flexibly in the DeFi ecosystem.

Possible challenges:

Compliance issues: With changes in the regulatory environment, the model of combining CEX and DEX may need further adjustments to comply with regulations in various regions.

User education: Many users feel unfamiliar with the DeFi ecosystem, and Binance needs to strengthen education and guidance to help users understand how to operate Alpha 2.0 and its advantages.

Security: Although Alpha 2.0 combines the security of CEX and the transparency of DEX, ensuring the security of on-chain transactions remains an issue that needs continuous optimization.

Alpha 2.0 is currently still in the testing phase and is only open to users in certain regions. In the future, Binance plans to further optimize its features, expand user coverage, and explore more possibilities for the integration of CEX and DEX. With the development of the DeFi ecosystem, Alpha 2.0 may become an important milestone in the combination of CeFi and DeFi, providing users with a more efficient and secure trading experience.

Overall, Alpha 2.0, through its innovative design, lowers the threshold for user participation in on-chain trading, enhances trading efficiency and capital utilization, and represents a positive exploration of the integration between CEX and DEX.

See you in the evening

Thank you, K-line master, for sharing

Key Points of Cryptocurrency Investment Analysis and Strategies

Core Asset Allocation Logic:
Bitcoin (BTC), with its ten years of no downtime, technical stability, total scarcity, and global node network, forms an irreplaceable moat and is viewed by the Trump administration as a preferred strategic reserve. Its spot ETF continues to attract capital inflows and has institutional holding advantages, combined with its unique liquidity premium due to reduced correlation with U.S. stocks. Ethereum (ETH), relying on its first-mover advantage in the smart contract ecosystem and gradual regulatory recognition, has become a secondary core choice for mainstream institutional allocation.

Short-term Opportunities and Risks for Secondary Mainstream Coins:
SOL, XRP, and ADA experienced a short-term surge stimulated by Trump's reserve proposal, but policy implementation requires congressional approval and carries political maneuvering risks. On the technical side, SOL faces pressure from competition and iteration among public chains, XRP has not completely resolved legal disputes, and ADA's ecological development faces uncertainties. Historical data shows that such assets often experience fluctuations exceeding 30% after news stimuli, necessitating caution against liquidity crises triggered by leveraged liquidations.

Market Dynamics and Technical Signals:
BTC has formed a strong support range at $78,000, with institutions continuously accumulating through ETFs, creating a bottom support effect. ETH's recent performance is relatively weak, but the development of the Layer 2 ecosystem and staking yield mechanisms still hold long-term value. SOL's short-term support level is $130, and if it falls below this, it may trigger a sell-off; ADA has technical support near $0.6, while XRP needs to break through the $0.55 resistance to open up upward space.

Risk Hedging and Position Management Recommendations:
1. A pyramid averaging strategy is more suitable for high-certainty assets like BTC, utilizing its liquidity advantage to avoid the common foot-stepping risks of altcoins.
2. It is recommended to allocate core positions as 70% BTC + 20% ETH, reserving 10% as flexible funds to capture policy-driven opportunities.
3. Pay attention to discussions on the regulatory framework at the White House summit and the Federal Reserve's interest rate policy; prioritize reducing positions in secondary mainstream assets when significant negative news arises.

HODL

Thank you, Teacher Yu Yue, here is my brief summary.

Summary of On-chain Strategies for Novice Investors
Novice investors with limited capital and experience should minimize activity and observe more. They can first practice with a simulated account or observe popular on-chain projects without rushing to invest. A stop-loss strategy can be to cut losses in half (exit immediately when losing 50%).

Trading Tools: Use GMGN and custom monitoring tools
Monitoring Resources: Follow information channels like China FM and choose suitable on-chain monitoring tools
Smart Money Tracking: Discover high-profit smart money addresses and look for quality projects
Narrative Logic: Market attention determines trends, which can be analyzed through three main lines: economy, politics, and culture, while observing large smart money buying behavior
On-chain Analysis: Analyze contract trading history through blockchain explorers like Etherscan and BscScan to assess project activity and capital flow

Combine on-chain data to avoid FOMO (Fear of Missing Out) decisions and improve investment success rates.
The core idea is to observe first, then practice, using tools to filter projects, focusing on smart money and on-chain data to ensure rational investment.

Let me summarize Jiujiu’s sharing.

BNB Chain is committed to building a comprehensive public chain, not only focusing on the meme craze, but also deepening its roots in the fields of AI and DeFi. The Binance ecosystem has exploded recently, and meme coins such as TST and CZ Dog have brought in a large amount of traffic, driving an influx of hot money.

In addition, Binance is optimizing ecosystem and wallet integration to enhance user experience. Currently, there is no GAS fee for transferring USDT, and users can seize the opportunity. BSC SCAM can be used as an anti-fraud tool, while Binance Chain is known for being fast, cheap and stable, making it suitable for beginners. Binance provides resources and liquidity support and is suitable for game development.

In terms of DeFi, there are PancakeSwap and Venus, which are compatible with EVM, making it convenient for developers to port Ethereum DApps.

I hope the school will hold more AMAs like this. I will benefit a lot from it. Thank you🙏