Revolutionizing Asset Management: Integrating AI and Layer 2 Blockchain for Dynamic Fund Operations

Introduction to Automated Funds on Blockchain

Defining Automated Blockchain Funds?

Automated blockchain funds represent a groundbreaking shift in the world of finance. These funds are not just investment instruments; they are the harbingers of a new era in financial management. By leveraging blockchain technology, these funds automate critical aspects of fund management, including decision-making, transaction execution, and asset allocation.

The core of these funds lies in their use of smart contracts – self-executing contracts with the terms of the agreement directly written into code. This automation extends beyond mere efficiency; it redefines the very nature of fund management, making it more transparent, accessible, and democratic.?

Functioning and Benefits?

The operational mechanism of automated blockchain funds is a symphony of technology and finance. Smart contracts act as the maestro, orchestrating predefined investment strategies with precision and consistency. This automation brings several benefits:?

·????? Transparency: Every transaction and decision is recorded on the blockchain, offering unparalleled transparency.

·????? Reduced Costs: Automation significantly lowers operational costs by minimizing the need for intermediaries and manual oversight.

·????? Swift Execution: The speed of transaction execution on blockchain is unmatched, enabling real-time fund management.

·????? Accessibility: These funds democratize investment, allowing broader participation due to lower entry barriers and simplified processes.?

Current Relevance?

In today's financial landscape, marked by a thirst for efficiency and heightened security, automated blockchain funds are not just relevant – they are essential. They address the growing demand for investment solutions that are both agile and secure. In a world where financial markets are increasingly volatile and unpredictable, these funds offer a beacon of stability and innovation.?

Expanding the Horizon?

The potential of automated blockchain funds extends beyond traditional financial markets. They are paving the way for new forms of investment, such as tokenized assets and decentralized finance (DeFi) platforms, which are reshaping the investment landscape.

·????? Tokenization of Assets: Blockchain technology enables the conversion of real-world assets into digital tokens, opening new investment avenues (Chen, et al., 2020).

·????? Growth of DeFi: The DeFi sector, built on blockchain, is expanding rapidly, offering alternative investment platforms and products (Sch?r, 2021).

Wrapping Bitcoin and Other Tokens on Ethereum: A Comprehensive Overview?

What is Cryptocurrency Wrapping??

Cryptocurrency wrapping is a transformative process in the blockchain realm. It's not just a technical maneuver; it's a bridge that connects disparate blockchain worlds. At its core, wrapping is about creating a digital token on one blockchain, such as Ethereum, that represents a cryptocurrency from another blockchain, like Bitcoin. This process essentially allows cryptocurrencies to transcend their native blockchains, fostering a new level of interoperability and functionality.?

Why Wrap Cryptocurrencies?

The rationale behind wrapping cryptocurrencies is multifaceted:

• Interoperability: It enables the use of Bitcoin and other non-native assets within Ethereum's rich ecosystem of decentralized applications (dApps) and smart contracts.
• Liquidity: Wrapping brings liquidity to Ethereum's ecosystem, as it allows more assets to flow and be utilized within its network.
• Innovation: It paves the way for innovative financial products and services that combine the strengths of different blockchain platforms.

How Does Wrapping Work?

The technical process of wrapping is both intricate and fascinating:

1. Locking the Original Cryptocurrency: Initially, the original cryptocurrency, such as Bitcoin, is locked or held in a digital vault.
2. Issuing Wrapped Tokens: In exchange, an equivalent amount of wrapped tokens (e.g., Wrapped Bitcoin or WBTC) is issued on the Ethereum blockchain.
3. Utilization in Ethereum's Ecosystem: These wrapped tokens can then freely circulate within Ethereum's ecosystem, being used in various dApps, decentralized exchanges, and DeFi platforms.

Who Benefits from Cryptocurrency Wrapping?

The beneficiaries of cryptocurrency wrapping are diverse, encompassing various stakeholders in the blockchain ecosystem:

• Investors and Traders: They gain access to a broader range of assets within Ethereum's ecosystem, opening up new investment and trading opportunities.
• Developers and Innovators: They can create more versatile and powerful dApps that leverage the unique attributes of different cryptocurrencies.
• The Blockchain Community: Overall, the blockchain community benefits from increased liquidity, interoperability, and innovation.

When and Where is Wrapping Prevalent?

Cryptocurrency wrapping has gained significant traction in recent years, particularly with the rise of DeFi platforms on Ethereum. Wrapped Bitcoin (WBTC) has become a prominent example, widely used in Ethereum-based applications.

Market Implications and Future Outlook?

The implications of cryptocurrency wrapping on the market are profound:?

·????? Expanded Market Scope: Wrapping extends the scope of blockchain applications, allowing for more diverse and sophisticated investment strategies.

·????? Enhanced Market Liquidity: It contributes to increased liquidity in decentralized markets, making them more vibrant and efficient.?

Migrating to Layer 2 for Enhanced Efficiency

Layer 2 solutions in blockchain, such as rollups and sidechains, are designed to improve transaction efficiency by handling transactions off the main Ethereum chain, thereby reducing congestion and fees.

Improving Transaction Efficiency

These solutions process transactions more efficiently, offering faster confirmation times and lower costs, which is particularly beneficial for high-frequency trading and complex smart contract executions.

Impact on the Ethereum Ecosystem

The adoption of Layer 2 solutions is crucial for Ethereum's scalability, ensuring its viability as a platform for a wide range of decentralized applications.

Implications for Investors?

This table, organized by key criteria, provides investors with a clear and logical comparison of Layer 2 solutions. It highlights the unique attributes of each solution, helping investors discern which technology best aligns with their investment goals and risk appetite.

Focusing on zk-Rollups: A Strategic Choice in Layer 2 Solutions

While various Layer 2 solutions offer distinct benefits for blockchain scalability and efficiency, zk-Rollups (zero-knowledge Rollups) stand out for several compelling reasons, making them a focal point of our study.

Unique Advantages of zk-Rollups?

·????? Enhanced Privacy and Security?

zk-Rollups utilize zero-knowledge proofs, a cryptographic method that allows one party to prove to another that a statement is true without revealing any information beyond the validity of the statement itself. This feature significantly enhances privacy and security.?

·????? Scalability and Efficiency?

They offer superior scalability by bundling multiple transactions into a single proof, drastically reducing the data stored on the main chain. This leads to higher throughput and lower transaction costs.?

·????? Reduced Computational Load?

Unlike other solutions that may require complex computations on the main chain, zk-Rollups handle most computations off-chain, further reducing the burden on the Ethereum network.

Why zk-Rollups Over Other Solutions??

·????? Current Technological Trends?

The blockchain community is increasingly focusing on privacy and efficiency, areas where zk-Rollups excel. Their adoption is growing rapidly, as evidenced by several major projects and platforms integrating zk-Rollup technology.?

·????? Future Potential?

Zk-Rollups are considered to be at the forefront of Layer 2 scaling solutions, with ongoing research and development suggesting significant future advancements. Their potential to reshape blockchain scalability and privacy is immense.?

·????? Investor Interest?

From an investment perspective, zk-Rollups represent a cutting-edge area with substantial growth potential. Projects utilizing zk-Rollups are attracting significant attention and investment, indicating a strong market interest.

Using AI for Dynamic Portfolio Management in 2023?

The Evolution of AI in Portfolio Management?

The integration of Artificial Intelligence (AI) in portfolio management has transformed the landscape of investment strategies. In 2023, AI's role in financial markets has become more pronounced, with machine learning algorithms and advanced data analytics playing a pivotal role in decision-making processes.?

Advancements in AI for Portfolio Analysis?

·????? Generative AI in Wealth Management?

Generative AI models are being deployed to create sophisticated investment strategies, offering personalized portfolio solutions based on individual investor profiles (Oliver Wyman, 2023).?

·????? AI-Driven Virtual Portfolio Managers?

AI technology has evolved to create virtual portfolio managers, each with unique strategies and approaches, enhancing portfolio diversification and risk management (Investment Executive, 2023).?

·????? Market Trends and AI Integration?

The AI in Asset Management market is witnessing significant growth, with AI being increasingly used for portfolio optimization and market trend analysis (LinkedIn, 2023).?

Benefits and Challenges of AI in Portfolio Management?

·????? Benefits?

Data-Driven Insights: AI algorithms can process and analyze vast amounts of market data, providing deeper insights for better investment decisions.

Risk Assessment: AI enhances risk assessment capabilities, allowing for more accurate predictions and portfolio optimization.?

·????? Challenges?

Data Quality: The effectiveness of AI models depends on the quality and accuracy of the data fed into them.

Algorithmic Biases: There is a risk of biases in AI algorithms, which can lead to skewed investment decisions.?

Case Studies and Real-World Examples

• AI-Driven Trading Platforms: Platforms like Aladdin by BlackRock utilize AI for real-time market analysis and portfolio adjustments.
• Robo-Advisors: AI-powered robo-advisors offer automated, algorithm-based portfolio management services, making investment strategies more accessible to a broader audience.

Future Outlook

The future of AI in portfolio management is geared towards more personalized and adaptive investment strategies. With advancements in AI technology, portfolio management is expected to become more efficient, accurate, and tailored to individual investor needs.

Introducing an Original Concept: The Dynamic Autonomous Fund

Visionary Idea

Building on the latest advancements in AI and blockchain technology, I propose a groundbreaking concept: a dynamic autonomous fund. This fund is designed to manage a portfolio of the top 100 cryptocurrencies (ETF100), with its composition automatically adjusting in real-time based on market capitalization data. This concept represents a significant leap in asset management, combining the agility of AI with the transparency and efficiency of blockchain technology.

Innovative Mechanism?

Real-Time Market Capitalization Tracking?

The fund employs blockchain oracles to continuously fetch real-time market data. These oracles provide up-to-date information on the market capitalization of various cryptocurrencies, ensuring the fund's portfolio reflects the most current top 100 cryptocurrencies.

This approach addresses the challenge of rapid market fluctuations in the cryptocurrency space, allowing the fund to stay aligned with the latest market trends.?

AI-Driven Portfolio Rebalancing?

Advanced AI algorithms analyze the incoming data to dynamically rebalance the portfolio. These algorithms consider factors such as market trends, volatility, liquidity, and risk factors associated with each cryptocurrency.

The AI system is designed to optimize the portfolio for both short-term gains and long-term stability, adapting its strategy based on evolving market conditions.?

Operational Framework?

Blockchain Integration?

The fund operates on a blockchain platform, utilizing smart contracts for executing trades and managing the portfolio. This ensures transparency, security, and efficiency in all transactions.

Smart contracts automatically execute portfolio adjustments as dictated by the AI algorithms, based on the real-time data provided by the oracles.?

Data-Driven Decision Making?

The AI system processes vast amounts of data, including historical trends and current market signals, to make informed decisions about asset allocation and rebalancing.

This data-driven approach allows the fund to navigate the complexities of the cryptocurrency market with precision and insight.?

Potential Impact and Future Prospects?

Revolutionizing Asset Management?

This dynamic autonomous fund concept has the potential to revolutionize the way portfolios are managed in the cryptocurrency domain. It offers a level of responsiveness and intelligence previously unattainable in traditional asset management.?

Adaptability and Scalability?

The fund's structure is designed to be adaptable and scalable, capable of incorporating new cryptocurrencies and investment strategies as the market evolves.?

Broader Implications?

While initially focused on cryptocurrencies, the concept can be extended to other digital assets, offering a comprehensive and advanced investment solution for a variety of asset classes.?

Conclusion

The dynamic autonomous fund concept represents a fusion of cutting-edge AI and blockchain technologies, setting a new standard in the world of finance. It embodies a forward-thinking approach to asset management, offering a sophisticated, efficient, and adaptive solution to navigating the volatile cryptocurrency market.

Benefits of Using zkSync (Layer 2) for ETF100:

1.???? Transaction Cost Efficiency:

• Layer 1 Scenario: Every transaction (issuance, trading, rebalancing) incurs significant gas fees. For a fund with frequent transactions, these costs accumulate rapidly, impacting investor returns.
• Layer 2 (zkSync) Advantage: zkSync significantly reduces transaction costs. This is especially beneficial for a fund with high transaction volume, as it minimizes operational expenses, thereby potentially increasing net investor returns.

2.???? Scalability and Transaction Speed:

• Layer 1 Limitation: Ethereum L1 has limitations in terms of transaction throughput, leading to potential delays during high network congestion.
• Layer 2 Benefit: zkSync offers higher transaction throughput and faster processing times. This is crucial for a dynamic fund like ETF100, which requires timely execution of trades to maintain its portfolio composition based on real-time market capitalization data.

3.???? User Experience and Accessibility:

• Layer 1 Drawback: High gas fees and slower transaction times on L1 can be barriers for small investors or for executing small trades.
• Layer 2 Improvement: zkSync's lower fees and faster transactions make the ETF100 more accessible to a broader range of investors, including those making smaller investments.

4.???? Security and Finality:

• Layer 1 Security: Transactions on L1 are highly secure due to Ethereum's robust consensus mechanism.
• Layer 2 Consideration: While zkSync is a Layer 2 solution, it inherits the security guarantees of Ethereum's mainnet. Transactions on zkSync are periodically settled on L1, ensuring the same level of security and finality.

5.???? Innovation and Market Perception:

• Layer 1 Perception: Operating solely on L1 may be seen as traditional and less innovative.
• Layer 2 Appeal: Utilizing zkSync positions the ETF100 as a forward-thinking, technologically advanced fund, potentially attracting investors interested in innovative financial products.

Practical Example: Why ZKsync can be valuable

Imagine the ETF100 fund needs to rebalance its portfolio based on the latest market capitalization data. In a Layer 1 scenario, each rebalancing transaction (buying/selling assets) incurs high gas fees and might face delays during network congestion. Over time, these costs and delays could detract from the fund's performance.

In contrast, executing these transactions on zkSync (Layer 2) would significantly reduce the costs and ensure timely execution, preserving the fund's efficiency and responsiveness to market changes. The fund can then periodically settle its state back to Layer 1, maintaining Ethereum's security guarantees.

Scenario for Daily Rebalancing of ETF100 Fund

To create a current and realistic cost comparison, we'll use the latest gas prices from Ethereum and zkSync for a scenario where the ETF100 fund rebalances its portfolio daily.

Assumptions:

1. Rebalancing Frequency: Daily.
2. Number of Transactions for Rebalancing: Up to 100 transactions per day, assuming each of the top 100 cryptocurrencies may need adjustment.
3. Transaction Costs on L2 (zkSync): average transaction cost of $0.21.
4. Ethereum L1 Gas Price: 45 Gwei, with an average transaction cost of $2.27.

Scenario: Daily Rebalancing on Ethereum L1 + zkSync L2

• Daily Rebalancing on L2: 100 transactions × $0.21 = $21.00 per day. Annual Cost: $21.00 × 365 days = $7,665.00.
• Daily Rebalancing on L1: 100 transactions × $2.27 = $227.00 per day. Annual Cost: $227.00 × 365 days = $82,855.00.

Comparative Analysis with Daily Rebalancing:

• L1 Only: $82,855.00 per year.
• L1 + L2: $7,665.00 per year.

Assumptions for the Investor Scenario:

1. Investor Activities: Buying, selling, and transferring ETF100 tokens.
2. Frequency of Transactions: Regular trading activities (buy/sell) and occasional token transfers.
3. Average Transaction Cost on L1: $2.27 (as per current Ethereum gas prices).
4. Average Transaction Cost on L2 (zkSync): $0.21.

Scenario 1: Investor Transactions on Ethereum L1

• Buying/Selling ETF100 Tokens: Each transaction (buy or sell) costs $2.27.
• Transferring Tokens: Each transfer also costs $2.27.
• Annual Costs: Assuming an investor makes 30 buy/sell transactions and 10 transfers a year: Transaction Costs: 30 × $2.27 = $68.10 Transfer Costs: 10 × $2.27 = $22.70 Total Annual Costs: $68.10 + $22.70 = $90.80

Scenario 2: Investor Transactions on Ethereum L1 + zkSync L2

• Buying/Selling ETF100 Tokens on L2: Each transaction costs $0.21.
• Transferring Tokens on L2: Each transfer costs $0.21.
• Annual Costs: Assuming the same number of transactions as in Scenario 1: Transaction Costs: 30 × $0.21 = $6.30 Transfer Costs: 10 × $0.21 = $2.10 Total Annual Costs: $6.30 + $2.10 = $8.40

Comparative Analysis:

• L1 Only (Scenario 1): $90.80 per year
• L1 + L2 (Scenario 2): $8.40 per year

Conclusion:

The scenario with daily rebalancing of the ETF100 fund shows a stark difference in costs between using Ethereum L1 and zkSync L2. While both scenarios involve a significant annual cost due to the high frequency of transactions, the cost on L2 is substantially lower. This illustrates the cost-effectiveness of Layer 2 solutions like zkSync for operations requiring high transaction volumes, such as daily rebalancing of a dynamic fund.

For an investor in the ETF100 fund, conducting transactions on zkSync L2 instead of solely on Ethereum L1 can significantly reduce annual costs from $90.80 to $8.40. This demonstrates the cost-effectiveness of L2 solutions for investors, especially those who engage in frequent trading and token transfers.

Real-World Application:

For a precise cost analysis, actual transaction sizes, specific smart contract functions, and fluctuating gas prices would need to be considered. This example provides a basic understanding of the potential cost savings when using L2 solutions in blockchain-based fund operations. Investors should consider transaction fees, especially when engaging in frequent trading or transfers. L2 solutions like zkSync offer a more cost-effective option, reducing the overall impact of transaction fees on investment returns.

NAV Per Share Calculation for the ETF100 Fund

Background: The Net Asset Value (NAV) per share is a fundamental metric in fund management, reflecting the value of each share in the fund. For the ETF100 fund, which includes the top 100 cryptocurrencies, the NAV per share is dynamically calculated to mirror real-time market changes.

Calculation Method: The NAV per share is determined by dividing the total NAV of the fund by the total number of shares outstanding. In this scenario, the ETF100 fund has 100,000 shares. The NAV is calculated using the latest 24-hour price changes of each cryptocurrency in the fund, sourced from CoinMarketCap.

Example:

• Bitcoin (BTC): $1,000,000 * (1 + 0.0026) = $1,002,600
• Ethereum (ETH): $1,000,000 * (1 + 0.0431) = $1,043,100
• ... [similar calculations for each of the 100 cryptocurrencies]

After computing the adjusted values for each cryptocurrency, we sum these values to obtain the total NAV of the ETF100 fund.

In our use case, thanks to commutativity If we assume that each cryptocurrency in the fund has equal weighting (i.e. each cryptocurrency represents exactly 1% of the fund), then the overall market change percentage for the fund can be calculated by simply doing the average of the 24-hour variation percentages of each cryptocurrency.

To do this, we add up the 24-hour percentage changes of all 100 cryptocurrencies and then divide this sum by 100. This will give the average percentage change for the entire fund.?

This method provides a simplified but effective estimate of the overall market change for the fund, assuming equal weighting of each cryptocurrency in the fund so we have a + 5,825% overall growth on the market between yesterday and today (December 22nd)

Result: Based on the latest data from coinmarketcap, the total NAV of the ETF100 fund is calculated to be 105825000 . To find the NAV per share, this total NAV is divided by 100,000 shares, resulting in a NAV per share of $1058,25 and happy investors.

Significance: The NAV per share is an essential indicator for investors, offering a direct measure of the value of their investment in the fund. This calculation highlights the dynamic nature of the ETF100 fund, adapting to the rapidly changing cryptocurrency market, and providing a transparent and agile investment option for investors.

Enhanced Analysis of Automated Blockchain Funds: A Research-Oriented Perspective

Quantitative Benefits for Investors

• Cost-Efficiency Analysis:

Formula:

Automated blockchain funds typically have lower operational costs, which translates into a lower TER compared to traditional funds. This efficiency is quantifiable and directly benefits investors by reducing the expenses charged to the fund.

• Return on Investment (ROI) Comparison:

Formula

By applying this formula, we can compare the ROI of automated blockchain funds with traditional funds, highlighting the potential for higher returns due to efficient market tracking and dynamic asset allocation.

Risk-Adjusted Return Metrics

• Sharpe Ratio:

Formula

This metric helps in understanding the return of an investment compared to its risk. Automated blockchain funds, with AI-driven portfolio management, can potentially offer a higher Sharpe ratio, indicating better risk-adjusted returns.

Diversification and Portfolio Optimization

• Modern Portfolio Theory (MPT)

MPT?ModelMPT?Model focuses on maximizing return for a given level of risk through diversification. Automated blockchain funds can use AI algorithms to optimize asset allocation in line with MPT principles, achieving an efficient frontier for investors.

Academic Sources and Theoretical Frameworks

• Efficient Market Hypothesis (EMH)

Automated blockchain funds align with the EMH, as their AI algorithms can quickly incorporate all available market information, potentially leading to more efficient markets.

• Behavioral Finance Insights:

These funds also address behavioral biases in investment, as AI-driven decisions are based on data and algorithms rather than human emotions.

Conclusion

This research-oriented analysis of automated blockchain funds demonstrates their potential advantages in terms of cost-efficiency, risk-adjusted returns, and portfolio optimization. By applying financial formulas and models, we gain a deeper understanding of how these funds can offer superior investment opportunities compared to traditional methods.

Benefits for Investors

?

Analyzing Advantages

Automated blockchain funds offer investors benefits such as increased transparency, reduced fees, and access to a broader range of investment opportunities compared to traditional investment methods.

Comparative Analysis

The following table provides a comprehensive comparison between automated blockchain funds and traditional investment vehicles. It highlights key differences in various aspects such as market evolution, accessibility, transparency, cost efficiency, risk management, innovation potential, regulatory environment, and investor perception. The comparison is based on the latest academic research and industry reports from 2023, offering a current perspective on these two investment paradigms.

Conclusion

The comparative analysis reveals that automated blockchain funds offer distinct advantages in terms of innovation, cost efficiency, and transparency. They represent a forward-thinking approach to investment, aligning with the evolving technological landscape. Traditional investment vehicles, while more established and regulated, may lack the dynamic and innovative qualities of blockchain-based funds. This comparison underscores the transformative impact of blockchain and AI technologies in reshaping the investment landscape.

Conclusion and Future Outlook: The Synergy of Blockchain and AI in Finance

In conclusion, this research article has provided an in-depth exploration of the transformative integration of blockchain and AI within the realm of financial technologies. We have systematically examined several pivotal domains:

• Automated Blockchain Funds: The utilization of smart contracts for the purpose of efficient and transparent fund management.
• Cryptocurrency Wrapping: The enhancement of interoperability and liquidity within the blockchain ecosystem.
• Layer 2 Solutions: Addressing the pressing scalability and efficiency challenges prevalent in blockchain networks.
• AI in Portfolio Management: The application of advanced algorithms to craft dynamic and personalized investment strategies.

In the context of future trends and developments, we anticipate the following:

• Innovative Applications: The ongoing evolution of blockchain and AI technologies is poised to introduce novel applications and services to the financial sector. This will further augment investment strategies and financial services.
• Global Blockchain AI Research: A comprehensive report spanning 2023 to 2032 underscores the pivotal role played by emerging technologies such as computer vision, machine learning, and natural language processing in driving innovation within the realms of blockchain and AI. This innovation is set to revolutionize industries and lay the foundation for future advancements.

From a global perspective, the impact of this integration is substantial:

• Transformation of the Financial Industry: The integration of blockchain and AI harbors the potential to significantly reshape the financial industry landscape. It promises to deliver more efficient, transparent, and accessible investment avenues, fundamentally altering how both individuals and institutions engage with financial markets.

Introduction to Automated Funds on Blockchain?

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Wrapping Bitcoin and Other Tokens on Ethereum: A Comprehensive Overview?

·????? Etherscan. (2021). Wrapped Bitcoin (WBTC) Token Tracker. Etherscan.io

·????? Qiao, W., & Belchior, R. (2020). A Survey on Ethereum Systems Security: Vulnerabilities, Attacks, and Defenses. arXiv preprint arXiv:2005.14234.

·????? Di Angelo, M., & Salzer, G. (2020). Wrapped Cryptocurrencies: Wrapped Bitcoin (WBTC) and the General Concept. arXiv preprint arXiv:2005.14234.?

Migrating to Layer 2 for Enhanced Efficiency

• Buterin, V. (2021). A rollup-centric ethereum roadmap. Vitalik Buterin's website.
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Focusing on zk-Rollups: A Strategic Choice in Layer 2 Solutions

• Maller, M., Bowe, S., Kohlweiss, M., & Meiklejohn, S. (2019). Sonic: Zero-Knowledge SNARKs from Linear-Size Universal and Updateable Structured Reference Strings. Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security. DOI: 10.1145/3319535.3354217.
• Buterin, V. (2021). An Incomplete Guide to Rollups. Vitalik Buterin's website. https://vitalik.ca/general/2021/01/05/rollup.html?ref=bnbchain.ghost.io
• Kessler, S. (2022, July 20). The Sudden Rise of EVM-Compatible ZK Rollups. https://www.coindesk.com/tech/2022/07/20/the-sudden-rise-of-evm-compatible-zk-rollups/
• Isige, J. (2023). How ZK-Rollups Push Ethereum To The Next Layer of Scalability. https://www.techopedia.com/zk-rollups-and-ethereum

Using AI for Dynamic Portfolio Management in 2023

·????? Oliver Wyman. (2023). Deploying Generative AI In Wealth And Asset Management. https://www.oliverwyman.com/our-expertise/insights/2023/oct/morgan-stanley-oliver-wyman-wealth-asset-management-2023-gen-ai.html

·????? Investment Executive. (2023). AI is an evolving portfolio-management tool. https://www.investmentexecutive.com/newspaper_/focus-on-products/ai-is-an-evolving-portfolio-management-tool/

·????? LinkedIn. (2023). AI In Asset Management Market Trends | 2023-2030. https://www.dhirubhai.net/pulse/ai-asset-management-market-trends-2023-2030-chemical-community

·????? Dixon, M., Klabjan, D., & Bang, J. H. (2020). Classification-based financial markets prediction using deep neural networks. Algorithmic Finance. DOI: 10.3233/AF-190032.

·????? Soleymani, F., & Paquet, E. (2020). Financial portfolio optimization with online deep reinforcement learning and restricted stacked autoencoder - DeepBreath. Expert Systems with Applications. DOI: 10.1016/j.eswa.2020.113456.

Introducing an Original Concept: The Dynamic Autonomous Fund

·????? Ethereum Gas Tracker. (2023). Etherscan. https://etherscan.io/gastracker

·????? zkSync Gas Tracker. (2023). ?https://zkscan.io/explorer/gas-price?

Enhanced Analysis of Automated Blockchain Funds: A Research-Oriented Perspective?

·????? Fama, E. F. (1970). Efficient Capital Markets: A Review of Theory and Empirical Work. The Journal of Finance.

·????? Thaler, R. H. (2016). Misbehaving: The Making of Behavioral Economics. W. W. Norton & Company.

Benefits for Investors

• Ante, L. (2020). The efficiency of blockchain in the automation of investment funds. Journal of Risk and Financial Management. DOI: 10.3390/jrfm13080200.
• Tapscott, D., & Tapscott, A. (2016). Blockchain revolution: How the technology behind bitcoin is changing money, business, and the world. Penguin.
• PwC. (2023). 5th Annual Global Crypto Hedge Fund Report: Rebuilding Confidence in Crypto. https://www.pwc.com/gx/en/new-ventures/cryptocurrency-assets/5th-annual-global-crypto-hedge-fund-report-july-2023.pdf
• Mhlanga, D. (2023). Blockchain Technology for Digital Financial Inclusion in the Industry 4.0, Towards Sustainable Development? Frontiers. https://www.frontiersin.org/articles/10.3389/fbloc.2023.1035405/full
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Conclusion and Future Outlook: The Synergy of Blockchain and AI in Finance

• Global Blockchain AI Research Report 2023-2032: New Technology Revolutionizes Industries - Computer Vision, ML, and NLP Driving Innovation - https://www.globenewswire.com/news-release/2023/08/04/2718790/28124/en/Global-Blockchain-AI-Research-Report-2023-2032-New-Technology-Revolutionizes-Industries-Computer-Vision-ML-and-NLP-Driving-Innovation.html
• Wyman (2023), ALL ROADS LEAD TO ROME: Blockchains’ Scalability, Interoperability, and Privacy Journey. ?https://enterprise.zksync.io/Oliver%20Wyman%20&%20Matter%20Labs%20-%20All%20Roads%20Lead%20To%20Rome.pdf
• https://ideasoft.io/blog/zksync-2-0-solution-the-future-for-defi-projects/

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