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#MindNetwork全同态加密FHE重塑AI未来 in the future AgenticWorld - this 'metropolis of agents' composed of millions of AI agents operates on three main pillars:

🌟 Prerequisites
1. 'Brain Evolution' Fuel Bank: Agents need to perceive multimodally like humans (seeing images, hearing voices, reading texts) and be able to 'slow think' to reason through complex problems (for example, checking the weather before planning a flight), similar to the hive-like architecture mentioned on page 9, where worker bees (utility agents) and the queen bee (super agent) each have their roles.
2. Moral Traffic Light System: Ethical algorithms must be built-in to prevent AI from 'speeding' and making uncontrolled decisions. For example, in medical diagnoses, it is crucial not to misdiagnose patients due to data bias.
3. Decentralized Collaboration Network: Agents need to collaborate with division of labor like an ant colony. For instance, the 'on-chain MCP' system on page 7 allows AI to connect to toolkits as easily as plugging in a USB drive, while blockchain technology ensures that no one can tamper with the rules.

🔐 FHE: Encryption Black Technology, Equipping Agents with a 'Security Door'
Fully Homomorphic Encryption (FHE) is the core security captain of this world:
- Privacy Cloak: Data is encrypted throughout the computation process, making user privacy 'invisible' even to the AI itself. For example, when a medical agent analyzes a patient's genes, the data is cloaked, rendering hackers powerless to peek.
- Cross-Chain Trust Glue: In the AgenticWorld on page 6, FHE combined with blockchain allows agents on different chains to collaborate with data transmitted like through bulletproof glass, ensuring safety and transparency.
- Anti-Cheat Protection: When training AI, FHE can prevent malicious data poisoning, just like equipping the AI cafeteria's ingredients with security checks to ensure that only 'healthy knowledge' is learned.

In the future, AgenticWorld may resemble the OASIS from 'Ready Player One', but the protagonists will be AI agents. And FHE is like the city's power system - invisible, but without it, the entire city would plunge into darkness and chaos. 🚀

The stop-loss strategy is the core tool for controlling investment risk, mainly including the following types:
1. Technical stop-loss: Setting stop-loss points based on technical indicators, such as breaking through key moving averages (like the 20-day moving average), trend lines, or head-and-shoulders neckline, applicable when trend reversal signals appear;
2. Dynamic stop-loss: Adjusting stop-loss positions as profits change, such as the breakeven stop-loss method (moving the stop-loss point up based on cost) or moving average trailing stop-loss, which can lock in profits and reduce drawdown risk;
3. Fixed stop-loss: Stopping losses at a fixed percentage (like 5%-10%) or amount, simple and easy to implement but needs to be combined with volatility characteristics;
4. Time stop-loss: Setting an upper limit on the holding period to avoid time loss, commonly used in short-term trading;
5. ATR stop-loss: Setting the stop-loss range based on volatility (like 2-3 times the ATR value), suitable for high-volatility markets.

Stop-loss should avoid emotional interference, and programmatic execution can enhance efficiency, while also needing to flexibly adjust in conjunction with fundamental changes (like policy risks). The core goal is to control single loss and prevent risk diffusion.

In the virtual market, diversified assets are the core strategy for reducing risk and optimizing returns. By allocating funds to different categories of digital assets (such as cryptocurrencies, NFTs, metaverse assets, etc.), while considering geographical distribution and industry differences, investors can effectively hedge against the risks of extreme price fluctuations of a single asset. Research shows that virtual assets have a lower correlation with traditional financial markets, and there exists an inverse correlation between different digital assets (such as stablecoins and high-volatility tokens), which significantly enhances the stability of the portfolio through diversification. At the same time, it is necessary to dynamically adjust the weights to adapt to market changes, such as increasing the proportion of compliant assets when regulations tighten, and combining stop-loss strategies with long-term holdings of quality projects to balance risk and return. In recent years, institutions like family offices have increased such allocations, leveraging the high growth potential of virtual assets to optimize the overall investment structure.

On April 15, 2025, Bitcoin's price exhibited a volatile pattern after breaking through key resistance. Technical analysis and market sentiment jointly influence the short-term direction. The following is a comprehensive analysis:

1. Price and Technical Dynamics
1. Breakthrough and Retracement
Bitcoin briefly broke through $85,000 in the morning, reaching a high of $85,800, but failed to stabilize above the key resistance level of $85,500, subsequently retreating to around $84,840 and fluctuating. The intraday trading range is $83,500-$85,500. On the daily chart, an ascending triangle pattern is forming, with MACD showing a golden cross and increasing momentum, while RSI gently rises to the 60 area, not reaching overbought conditions, indicating a strengthening trend.

2. Key Support and Resistance
- Upper Resistance: $85,500 is the short-term breakthrough focus. If the daily close stabilizes above this level and trading volume increases by over 20%, it may open up upward space to $87,500-$90,000.
- Lower Support: $83,000-$83,500 is the main support area for the day. If it falls below $82,000, it may trigger stop-loss orders, leading to a deeper correction to $80,000.

2. Market Drivers and Risk Factors
1. Positive Signals
- Institutional Capital Inflow: A listed company purchased 3,459 Bitcoins at an average price of $82,618 (approximately $285 million), and ETF net inflow was $130 million in a single day, indicating an increased willingness for long-term holding.
- Improved Macroeconomic Environment: The U.S. March CPI data met expectations, and the probability of the Federal Reserve cutting interest rates in June rose to 68%, coupled with the pause in Trump's tariff policy, which has led to a resurgence in the preference for risk assets.

2. Potential Risks
- Insufficient Volume: Spot trading volume has decreased by 77% from the February peak. If the current rise is not accompanied by an increase of over 20%, it may form a "volume-less rise" trap.
- Policy and Liquidity Risks: The aftershocks of Trump's tariff policy and fluctuations in the altcoin market (e.g., OM token plummeting by 25%) may transmit to Bitcoin, intensifying short-term volatility.

3. Operational Strategy Recommendations
1. Bullish Opportunities
- Breakout Long: If there is an effective breakthrough above $85,500 accompanied by volume, one can pursue long positions up to $87,500-$90,000, with a stop-loss set below $83,500.
- Pullback Long: Enter the market after the price stabilizes at the support zone of $83,000-$83,500, targeting $85,000 with a stop-loss at $82,000.

2. Bearish Defense
- Short at Resistance: If there is resistance near $85,500 and a top pattern emerges (e.g., long upper shadow), one can short-term sell down to $83,000, with a stop-loss above $86,500.
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#比特币与美国关税政策 Bitcoin, as a decentralized cryptocurrency, has no direct connection to U.S. tariff policies, but the two may interact indirectly through macroeconomics, international trade, and capital flows:

1. Safe-Haven Attributes and Trade Friction
If the U.S. escalates tariffs (such as in the trade war with China), it may trigger market concerns about dollar volatility or economic uncertainty, leading some investors to view Bitcoin as 'digital gold' to hedge risks, which could drive its short-term price up. For example, during the U.S.-China trade friction in 2019, Bitcoin once surged over 10% in a single day.

2. Mining Equipment Supply Chain and Tariff Costs
Bitcoin mining relies on high-performance mining machines, and major global manufacturers (such as Bitmain) are concentrated in China. If the U.S. imposes tariffs on semiconductor or mining machine imports from China, it could increase miners' costs and affect the global distribution of computing power, though targeted policies have not yet emerged.

3. Dollar Hegemony and Cryptocurrency Regulation
To maintain the dollar's dominant position, the U.S. may indirectly influence Bitcoin through policies such as taxation and anti-money laundering. For instance, the 2021 Infrastructure Bill requires cryptocurrency transactions to report tax information; although this is not a tariff, it reflects the intervention logic of policies in the market.

4. Geopolitics and Capital Flows
If tariff conflicts lead some countries to reduce their holdings of U.S. Treasury bonds or diversify their foreign exchange reserves, Bitcoin may become an alternative asset option. For example, countries like Russia and Iran have explored using cryptocurrencies to evade sanctions, but they are limited by their volatility and regulatory crackdowns.

Trend Outlook: The U.S. has not yet directly applied tariffs to the cryptocurrency sector, but if Bitcoin threatens the dollar system or is used to evade trade sanctions, restrictive policies in the future cannot be ruled out. Investors should pay attention to developments from the U.S. Treasury and SEC, rather than just tariff provisions.

#Vaulta

Vaulta is an innovative technology company focused on blockchain technology and distributed storage solutions, committed to providing secure and efficient data management services for enterprises and individuals. Its core product is a storage platform based on decentralized architecture, ensuring data privacy and immutability through encryption algorithms and smart contracts, supporting large-scale data storage and rapid retrieval. Vaulta places particular emphasis on applications in the Internet of Things, finance, and healthcare, helping clients reduce storage costs and enhance data security. The company features technology that is self-controllable and energy-efficient, has obtained multiple patent certifications, and has established partnerships with several leading industry companies to promote the evolution of the data storage ecosystem towards a more trustworthy and sustainable direction.