Research

Top AI Crypto Trading Bot: Maximize Your Profits with Smart Automation

Discover the best AI crypto trading bots to enhance your trading strategy and boost your profits. Read on to automate your success in crypto trading!
Token Metrics Team
8 min
MIN

In the rapidly evolving world of cryptocurrency, staying ahead of market movements can be the difference between profit and loss. Enter the AI crypto trading bot—a powerful tool that’s transforming how traders and investors approach the crypto markets. AI crypto trading bots automate trades using advanced algorithms, making them indispensable in the fast-paced crypto environment. In 2025, AI bots are not just optional tools—they’re essential companions in navigating the complexities of digital asset trading, including market volatility. No matter where you are on your crypto journey, AI crypto trading bots can provide valuable support and guidance to help you achieve your trading goals.

What Is an AI Crypto Trading Bot?

An AI crypto trading bot is an automated software program that uses artificial intelligence and machine learning algorithms, as well as advanced algorithms, to buy, sell, and manage cryptocurrencies on behalf of users. Unlike traditional bots that follow pre-programmed rules, AI bots learn from historical data, identify patterns, adapt to market conditions, and optimize trading strategies in real time. These bots analyze data, spot trends, and trade without constant human monitoring, making them highly efficient tools for modern traders.

These bots can analyze massive amounts of data—including price trends, social sentiment, on-chain analytics, and macroeconomic signals—faster and more accurately than a human ever could. They operate 24/7, allowing users to make trades even while busy with other tasks. However, bots rely on historical data and preset strategies, which means their effectiveness can be limited in unpredictable market conditions. Understanding this reliance is important for users who want to maximize the benefits of AI trading bots.

How Do AI Trading Bots Work?

AI trading bots work by integrating with crypto exchanges via APIs. Once connected, they can execute trades automatically based on predefined goals, risk parameters, and learned behavior from historical data. Here’s how the process typically works:

  1. Data Collection: The bot scrapes and aggregates data from exchanges, news outlets, Reddit, Twitter, and blockchain analytics.
  2. Signal Generation: The AI processes this data to detect patterns, trends, and potential entry/exit signals.
  3. Decision Making: Using predictive models, the bot determines optimal trade actions.
  4. Execution: Orders are placed directly on exchanges in real time, often across multiple assets, trading pairs, and multiple exchanges.
  5. Portfolio Management: Some bots rebalance portfolios, take profits, and manage risk based on evolving strategies. Users can also track performance and monitor performance of trading strategies and bots over time to ensure optimal results.

Key Features of AI Crypto Trading Bots

AI-powered crypto bots offer a wide range of advanced features that make them stand out from manual or rule-based trading:

  • User Friendly, Intuitive, and Easy to Use Interface: Enjoy an easy to use interface with intuitive navigation and simple setup, making it accessible for both beginners and experienced traders.
  • Advanced Tools: Access advanced tools such as sentiment analysis, backtesting, and performance analytics to optimize your trading strategies.
  • Strategy Templates & Custom Strategies: Use ready-made strategy templates or create custom strategies tailored to your trading goals.
  • Support for Various Strategies: The bot supports various trading strategies, including DCA bot, grid bot, options bots, and market making, providing flexibility for different trading styles.
  • Trading Signals: Leverage trading signals to automate and customize your strategies for more effective trading.
  • Broad Market Access & Major Exchanges: Enjoy broad market access with support for major exchanges like Binance, Coinbase, and Kraken, enabling seamless trading across multiple exchanges.
  • More Bots for Increased Automation: Deploy more bots to diversify your approach and increase automation capabilities.
  • Continuous Operation & Market Adaptation: The bot supports continuous operation and adapts to changing market conditions for optimal performance.
  • Affiliate Program: Benefit from an affiliate program that rewards you for referring new users.
  • Transparent Pricing: Experience transparent pricing with no hidden fees and clear transaction fees, so you always know your costs.
  • Dollar Cost Averaging: Automate dollar cost averaging as a supported strategy to minimize risks and smooth out market volatility.
  • Social Trading: Participate in social trading by following or copying top traders' strategies within the community.
  • Suitable for All Levels: Designed for both experienced traders, advanced traders, and beginners, offering sophisticated features and user-friendly tools.
  • Right Bot & Best Bots: Choose the right bot for your needs, including access to some of the best bots for superior performance.
  • Performance in Diverse Market Conditions: Bots are built to perform well in diverse market conditions, adapting to bull, bear, and sideways markets.
  • Align with Risk Tolerance: Customize strategies to match your personal risk tolerance for safer trading.
  • Past Performance Disclaimer: Remember, past performance is not indicative of future results—always trade responsibly.
  • Minimize Risks: Advanced algorithms help minimize risks and protect your portfolio during volatile periods.
  • Exploit Market Inefficiencies: Take advantage of market inefficiencies for better trading outcomes.
  • Reliable Customer Support: Access reliable customer support to resolve issues quickly and ensure a smooth trading experience.
  • Trading Success & Informed Trading Decisions: All these features contribute to trading success and help you make informed trading decisions.
  • 24/7 Automated Trading: Bots never sleep, making them ideal for the non-stop crypto market.
  • Real-Time Sentiment Analysis: They monitor social media and news feeds to respond to hype cycles or FUD (fear, uncertainty, and doubt).
  • Adaptive Learning: AI bots can adjust their strategy over time using reinforcement learning or neural networks.
  • Backtesting & Simulation: Test strategies on historical data to evaluate performance before going live.
  • Multi-Exchange Support: Trade across Binance, Coinbase, Kraken, and more, all from one dashboard.
  • Risk Management: Set stop-losses, take-profits, and manage exposure using AI-calculated thresholds.

Benefits of Using AI Trading Bots in 2025

1. Emotion-Free Trading

Human traders are often influenced by greed, fear, or impatience. AI bots follow data—not emotion. This leads to more disciplined and consistent trading. By removing emotional biases, these bots enable traders to make data-driven decisions, which can significantly improve trading outcomes.

2. Speed and Efficiency

Crypto markets move fast. AI bots can analyze, decide, and execute trades within milliseconds—far faster than any human trader.

3. Scalability

Bots can manage multiple trades and portfolios simultaneously, something that would be overwhelming for a human.

4. Data-Driven Strategy

AI bots can process terabytes of data in seconds, including sentiment analysis, news trends, and historical performance, ensuring informed decisions.

5. Access to Advanced Strategies

Some AI bots come with built-in hedge fund-level algorithms, giving retail traders access to institutional-grade tools.

Common Use Cases for AI Crypto Bots

  • Scalping and High-Frequency Trading (HFT)
  • Trend Following and Momentum Trading
  • Mean Reversion Strategies
  • Arbitrage across Exchanges
  • Portfolio Rebalancing
  • Narrative-driven trading (e.g., AI tokens, meme coins, etc.)
  • Paper Trading and Strategy Testing: Use paper trading to test and refine trading strategies in a risk-free environment, helping users gain experience and manage risk without using real money.

Crypto trading bots can be programmed to follow specific trading strategies, such as trend following, arbitrage, or market making, offering flexibility to suit various trading styles.

Token Metrics AI Crypto Trading: Smarter Crypto Decisions in 2025

One of the standout platforms in the AI crypto trading space is Token Metrics. Their AI crypto trading leverages over 80 on-chain and off-chain data points to generate real-time bullish and bearish signals. Platforms like Cryptohopper and 3Commas also allow users to customize and test their own bots, providing flexibility and control over trading strategies.

Why Token Metrics Stands Out:

  • Trader and Investor Grades: Proprietary scoring systems for different time horizons.
  • Backtested Accuracy: Up to 97% signal accuracy during market trends.
  • Narrative Detection: Identifies emerging crypto themes before they pump.
  • Telegram and Email Alerts: Stay updated wherever you are.
  • Portfolio Builder: Automate your crypto portfolio based on AI-driven indices.

Whether you're a beginner or an advanced trader, Token Metrics makes it easy to integrate AI into your crypto trading strategy.

Crypto Trading Bot Security: Protecting Your Digital Assets

In the world of crypto trading, security is not just a feature—it’s a necessity. As more traders turn to automated trading and AI-powered trading bots to enhance trading efficiency, the need for robust security measures becomes even more critical. Choosing a bot with robust security measures is essential for protecting funds and personal information. A secure crypto trading bot ensures that your digital assets remain protected while you execute trades and manage your portfolio in real time.

When selecting a crypto trading bot, look for platforms that implement advanced security measures at every level. This includes secure API key management, where your exchange accounts are connected using encrypted keys that limit access and permissions. Leading trading bots also offer two-factor authentication (2FA), adding an extra layer of protection to your account and trading activities.

Encryption is another cornerstone of a secure trading experience. Top crypto trading bots use end-to-end encryption to safeguard sensitive data, ensuring that your personal information and trading strategies remain confidential. Regular security audits and updates are essential, as they help identify and patch vulnerabilities before they can be exploited.

For users, adopting best practices is equally important. Always use strong, unique passwords for your trading bot accounts, enable 2FA wherever possible, and regularly monitor your account for any unusual activity. Avoid sharing your API keys or login credentials, and be wary of phishing attempts that could compromise your security.

Ultimately, the best AI powered trading bots combine advanced features with robust security measures, allowing traders to focus on their trading strategies without worrying about the safety of their assets. By choosing a reputable crypto trading bot and following recommended security practices, you can enjoy a seamless and secure automated trading experience in the ever-evolving cryptocurrency market.

Risks and Considerations

While AI bots offer many benefits, it is important to understand the risks involved. Consider the following:

  • Overfitting: Bots trained on historical data may not adapt well to future conditions.
  • False Signals: Even AI can misinterpret noise as opportunity.
  • Security Risks: Always use secure platforms and APIs. Bots with exchange access can be vulnerable.
  • Dependence on Quality Data: Garbage in, garbage out. A bot is only as good as the data it processes.

AI trading bots can deliver initial profits but may lead to losses as market conditions change, highlighting the importance of continuous monitoring and strategy adjustments.

  • Overfitting: Bots trained on historical data may not adapt well to future conditions.
  • False Signals: Even AI can misinterpret noise as opportunity.
  • Security Risks: Always use secure platforms and APIs. Bots with exchange access can be vulnerable.
  • Dependence on Quality Data: Garbage in, garbage out. A bot is only as good as the data it processes.

Choosing the Best AI Crypto Trading Bot

When evaluating an AI bot, it's crucial to choose the right bot to optimize your trading outcomes. Consider the following criteria:

  • Transparency: Are the strategies explainable? Are performance metrics public?
  • Customizability: Can you tweak parameters or build your own strategies?
  • Backtesting Tools: Does the platform offer sandbox testing?
  • Community & Support: A strong user base and developer support are essential.
  • Security: Ensure the platform uses secure API key handling and encryption.

Identifying your investment goals and risk tolerance is crucial when selecting a crypto trading bot, as this ensures the bot aligns with your trading objectives.

  • Transparency: Are the strategies explainable? Are performance metrics public?
  • Customizability: Can you tweak parameters or build your own strategies?
  • Backtesting Tools: Does the platform offer sandbox testing?
  • Community & Support: A strong user base and developer support are essential.
  • Security: Ensure the platform uses secure API key handling and encryption.

Conclusion: The Future of Crypto Trading Is AI-Powered

In 2025, AI crypto trading bots are no longer the future—they are the present. They offer faster execution, smarter strategies, and continuous optimization that outperform manual efforts. Whether you’re aiming to automate your trades, minimize emotional errors, or gain a competitive edge, AI bots are powerful tools to add to your arsenal.

Platforms like Token Metrics are leading the way in democratizing access to AI-driven trading. With the right setup, knowledge, and risk controls, AI crypto trading bots can help you navigate the volatile crypto market with confidence and precision. Successful deployment of AI bots hinges on combining technical prowess with prudent risk management and continual oversight, ensuring long-term trading success.

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Token Metrics Team
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Research

Is Web3 Just a Buzzword or a Real Innovation?

Token Metrics Team
3
MIN

Introduction to Web3

The emergence of Web3 has sparked diverse conversations in technology and blockchain communities. Some consider it the next revolutionary phase of the internet, while others dismiss it as mere hype. This blog explores whether Web3 is just a buzzword or if it represents a tangible and meaningful evolution in digital interactions.

Understanding the Concept of Web3

Web3 broadly refers to a new paradigm of the internet built on decentralized technologies like blockchain, aiming to enable peer-to-peer interactions without centralized intermediaries. Unlike Web2, which is dominated by centralized platforms controlling data and services, Web3 proposes a more open, user-controlled internet.

Key Web3 features include:

  • Decentralization: Data and services distributed across networks instead of centralized servers.
  • Blockchain Integration: Use of immutable ledgers to ensure transparency and security.
  • Token-based Economics: Implementation of cryptocurrencies and tokens to incentivize participation.
  • Enhanced User Sovereignty: Users control their data and digital identities.

The Technology and Applications Behind Web3

Web3 relies heavily on blockchain technology, smart contracts, and decentralized applications (dApps). These components facilitate trustless transactions and programmable digital agreements.

Notable Web3 applications include decentralized finance (DeFi), non-fungible tokens (NFTs), and decentralized autonomous organizations (DAOs). These innovations demonstrate practical use cases extending beyond theoretical frameworks.

Moreover, artificial intelligence (AI) tools are increasingly applied to analyze and navigate the evolving Web3 landscape. Platforms such as Token Metrics leverage AI-driven insights to help users research blockchain projects and assess technology fundamentals without financial recommendations.

Addressing the Skepticism Around Web3

Critics argue that Web3 might be overhyped with limited real-world adoption so far. Challenges include scalability issues, user experience complexities, regulatory uncertainties, and potential misuse.

However, innovation cycles often follow initial hype phases. Historical tech developments illustrate how novel ideas initially labeled as buzzwords eventually matured into foundational technologies over time.

Scenario analysis suggests varying outcomes for Web3:

  1. Gradual Adoption: Incremental integration of Web3 elements into mainstream platforms.
  2. Disruptive Shift: Web3 replaces significant portions of centralized internet infrastructure.
  3. Fragmentation or Stall: Development slows due to technical, regulatory, or societal barriers.

Practical Steps for Evaluating Web3 Projects

Due diligence is essential in understanding Web3 initiatives. Consider these points when researching:

  • Team and Community: Assess project founders' credentials and community engagement.
  • Technology Fundamentals: Examine code repositories, technical whitepapers, and audit reports.
  • Use Case Viability: Analyze how a project solves real problems uniquely.
  • Partnerships and Ecosystem: Look at collaborators and interoperability with existing platforms.

Leveraging AI-powered platforms like Token Metrics can assist users in organizing and interpreting vast data points objectively, aiding a comprehensive understanding.

The Role of Regulation and Governance

Regulation remains an evolving factor for Web3 projects. Decentralized governance models, such as DAOs, aim to allow stakeholder participation in decision-making processes. However, legal frameworks vary globally and can impact project development and adoption.

Understanding the nuanced regulatory landscape is critical for assessing the long-term feasibility and resilience of Web3 innovations.

Conclusion: Is Web3 Buzzword or Real?

Web3 encompasses transformative potentials in reimagining internet architecture. While it faces significant hurdles and exhibits hype characteristics, substantial technological progress and adoption signals suggest it is more than mere buzzword.

Objective analysis, supported by AI research tools like Token Metrics, can facilitate critical evaluation of emerging projects and technologies within this evolving domain.

Disclaimer

This article is for educational and informational purposes only and does not constitute financial advice. Readers should conduct their own research and consult professional advisors before making any decisions related to blockchain technologies or digital assets.

Research

Understanding Web3: How It Differs From Today's Internet

Token Metrics Team
4
MIN

Introduction

The internet has become an integral part of modern life, continually evolving since its inception. In recent years, a new paradigm called Web3 has emerged, promising to reshape how users interact with digital platforms. This blog post explores the fundamental differences between Web3 and the current internet, often referred to as Web2, to clarify what Web3 entails and its potential impact.

What Is Web3?

Web3 represents the next phase of the internet, built on the principle of decentralization. Unlike the current centralized internet infrastructure, Web3 aims to distribute control away from traditional intermediaries like corporations and governments to users and communities. Key technologies underpinning Web3 include blockchain, decentralized finance (DeFi), non-fungible tokens (NFTs), and decentralized autonomous organizations (DAOs).

At its core, Web3 is designed to empower users to own and control their data, digital assets, and online identities through cryptographic proof rather than relying on centralized entities. This shift holds the promise of enhanced privacy, improved security, and greater transparency across digital services.

How Web3 Differs From the Current Internet

The current internet, or Web2, is characterized by centralized platforms such as social media networks, content-sharing sites, and cloud service providers. These platforms control user data and have significant influence over digital ecosystems. Web3 introduces several pivotal differences:

  • Decentralization: Traditional web services store data on central servers. Web3 applications (dApps) operate on decentralized networks like Ethereum, distributing data across many nodes.
  • Data Ownership and Privacy: In Web3, users have sovereignty over their personal data via cryptographic keys, reducing dependency on intermediaries.
  • Trustless Interactions: Web3 uses smart contracts to automate transactions without requiring trust in a third party, enhancing transparency.
  • Monetization and Incentives: Users can directly monetize their contributions or assets through tokens without relying on platform-controlled advertising models.

Key Technologies Enabling Web3

A few seminal technologies make the Web3 vision feasible:

  1. Blockchain: A distributed ledger technology providing an immutable record of transactions and data accessible to all network participants.
  2. Cryptographic wallets: Tools that allow users to manage private keys securely, facilitating ownership and transaction signing.
  3. Smart contracts: Self-executing contracts with the terms directly written into code, automating agreements and processes without intermediaries.
  4. Decentralized storage: Networks like IPFS provide distributed data hosting, improving resilience and censorship resistance.

These technologies collectively foster environments where decentralized applications can function effectively, distinguishing Web3 from legacy web systems.

Impact of AI Research Tools in Understanding Web3

Analyzing the Web3 space requires comprehensive research and understanding of complex, rapidly evolving technologies. AI-driven research platforms like Token Metrics use machine learning and data analytics to provide insights into blockchain networks, emerging protocols, and token metrics. By leveraging these tools, researchers and enthusiasts can assess technological fundamentals and ecosystem trends in a structured, data-informed manner, facilitating a clearer understanding of Web3 developments.

Practical Considerations for Exploring Web3

For those interested in exploring Web3, keeping the following factors in mind can enhance comprehension and engagement:

  • Focus on fundamentals: Evaluate protocols and projects based on technology, use case, and community involvement.
  • Understand risk: Web3 technologies are experimental and subject to regulatory and technical challenges.
  • Use credible research tools: Platforms like Token Metrics offer analytical data that aid in objective evaluation.
  • Stay informed: The Web3 landscape evolves rapidly, requiring continuous learning and monitoring.

Future Outlook: Web3 vs. Web2

While Web3 promises a more decentralized and user-empowered internet, it is essential to consider practical implications. Adoption hurdles, scalability, user experience, and regulatory frameworks will shape its trajectory. Unlike Web2, which offers convenience and centralized control, Web3 emphasizes autonomy and distributed governance. The future internet may well integrate strengths from both models, providing a hybrid approach that balances user control with usability.

Conclusion

Web3 represents a transformative vision for the internet, aiming to decentralize control and enhance user ownership of data and digital assets. Its key distinctions from the current internet (Web2) include decentralization, trustless interactions, and new economic models. Technologies like blockchain and smart contracts drive these changes, supported by analytical tools such as Token Metrics that aid in navigating this complex environment. As Web3 continues to evolve, understanding its fundamentals remains crucial for anyone interested in the future of the internet.

Disclaimer

This blog post is intended for educational and informational purposes only and does not constitute financial or investment advice. Readers should conduct their own research and consider their risk tolerance before engaging with Web3 technologies or cryptocurrencies.

Research

Understanding Why Blockchain Transactions Are Irreversible

Token Metrics Team
5
MIN

Introduction

The concept of irreversible transactions is a foundational aspect of blockchain technology and cryptocurrencies. Unlike traditional banking systems where transactions can be reversed or disputed, blockchain transactions are designed to be permanent and unalterable once confirmed. This unique feature raises an important question: why are blockchain transactions irreversible? This article delves into the fundamental principles, technological mechanisms, and security frameworks that underpin transaction irreversibility in blockchains. In addition, it highlights how analytical and AI-driven research platforms such as Token Metrics can help users better understand the underlying dynamics.

Basics of Blockchain Transactions

To answer why blockchain transactions are irreversible, it is essential to understand what constitutes a blockchain transaction. At its core, a blockchain is a decentralized and distributed digital ledger of transactions, grouped into blocks and linked through cryptographic hashes.

  • Transaction creation: Users initiate transactions by digitally signing them with private keys, ensuring authenticity and ownership.
  • Broadcast and validation: Transactions are broadcast to a network of nodes, where consensus algorithms validate and verify them based on predefined rules.
  • Inclusion in blocks: Validated transactions are bundled into a block.
  • Linking blocks into a chain: Each block references the previous block through a cryptographic hash, forming a chronological chain.

Once a transaction is included in a confirmed block, it becomes part of the immutable ledger, considered permanent and irreversible.

Role of Immutability and Cryptography

Immutability is the cornerstone of transaction irreversibility. Blockchain achieves immutability using cryptographic techniques and decentralized consensus.

  • Cryptographic hashes: Each block contains a hash of the previous block, creating a tamper-evident chain. Changing any transaction data in a previous block alters its hash and breaks the chain's continuity.
  • Digital signatures: Transactions are signed by senders using private keys, and their validity is verified through public keys.
  • Decentralization: Since multiple nodes maintain copies of the ledger, altering one copy would require overwhelming control over the network to rewrite history, which is prohibitively difficult.

This design ensures that once a transaction is confirmed and embedded in a block, it is computationally infeasible to modify or reverse it without consensus from the majority of the network.

Consensus Mechanisms and Finality

Consensus algorithms play an essential role in determining when transactions are considered final and irreversible.

  • Proof of Work (PoW): In PoW systems like Bitcoin, miners solve complex puzzles to add new blocks. The longer the subsequent chain grows past a block, the more secure and irreversible the transactions within it become, as rewriting would require significant energy expenditure.
  • Proof of Stake (PoS) and others: Other consensus models like PoS, delegated PoS, or Byzantine Fault Tolerant algorithms offer different methods of achieving agreement but similarly provide guarantees on transaction finality.

Network participants generally treat transactions as irreversible after a certain number of confirmations (additional blocks). This requirement reduces risks from temporary forks or reorganizations.

Technical Challenges to Reversing Transactions

Reversing a blockchain transaction would entail rewriting the blockchain history, which is impeded by several technical realities:

  1. Hash chain dependency: Because every block contains the hash of its predecessor, any change would cascade through the chain, invalidating all subsequent blocks.
  2. Network consensus: The majority of nodes must agree on a change, which is practically impossible in secure, well-distributed networks without control of a 51% attack.
  3. Resource expenditure: The computational power and time required to modify past transactions increase exponentially with block depth.

Therefore, even accidental or malicious attempts to reverse a transaction face insurmountable obstacles.

Practical Implications of Irreversibility

The irreversible nature of blockchain transactions carries both benefits and risks.

  • Benefits: Enhanced security against fraud and censorship, fostering trust in decentralized financial systems.
  • Risks: Users need to exercise caution, as mistakes such as sending to incorrect addresses or falling victim to scams cannot be undone.

Understanding these implications is critical for users engaging with blockchain-based systems, and tools like Token Metrics provide data-driven insights to enhance awareness and decision-making.

How AI and Analytics Support Understanding

With the growing complexity of blockchain ecosystems, AI-driven platforms are increasingly valuable for dissecting transaction behaviors and network health.

  • Transaction analysis: AI can identify patterns, potential risks, or anomalies in blockchain activity.
  • Market insights: Analytical tools can augment research on transaction volumes, confirmation times, and network congestion.
  • Educational resources: Platforms such as Token Metrics leverage AI to provide accessible metrics and ratings that inform users about blockchain projects and technologies.

Utilizing these resources supports a better grasp of the irreversible nature of transactions and the broader blockchain infrastructure.

Conclusion

Blockchain transaction irreversibility is rooted in the technology’s core principles of immutability, decentralization, and consensus-driven finality. These mechanisms collectively ensure that once a transaction is recorded on the blockchain and sufficiently confirmed, it cannot be altered or undone without prohibitive computational effort and majority network control. While irreversible transactions provide robust security and trustlessness, they also emphasize the importance of user diligence. Leveraging AI-powered analytical tools like Token Metrics can enhance comprehension and navigational confidence within blockchain ecosystems.

Disclaimer

This article is intended for educational purposes only and does not constitute financial advice. Readers should conduct their own research using varied sources, including specialized platforms such as Token Metrics, before engaging with blockchain or cryptocurrency activities.

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