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Stop Guessing, Start Trading: The Token Metrics API Advantage

Announcements

Big news: We’re cranking up the heat on AI-driven crypto analytics with the launch of the Token Metrics API and our official SDK (Software Development Kit). This isn’t just an upgrade – it's a quantum leap, giving traders, hedge funds, developers, and institutions direct access to cutting-edge market intelligence, trading signals, and predictive analytics.

Crypto markets move fast, and having real-time, AI-powered insights can be the difference between catching the next big trend or getting left behind. Until now, traders and quants have been wrestling with scattered data, delayed reporting, and a lack of truly predictive analytics. Not anymore.

The Token Metrics API delivers 32+ high-performance endpoints packed with powerful AI-driven insights right into your lap, including:

  • Trading Signals: AI-driven buy/sell recommendations based on real-time market conditions.
  • Investor & Trader Grades: Our proprietary risk-adjusted scoring for assessing crypto assets.
  • Price Predictions: Machine learning-powered forecasts for multiple time frames.
  • Sentiment Analysis: Aggregated insights from social media, news, and market data.
  • Market Indicators: Advanced metrics, including correlation analysis, volatility trends, and macro-level market insights.

Getting started with the Token Metrics API is simple:

  1. Sign up at www.tokenmetrics.com/api
  2. Generate an API key and explore sample requests.
  3. Choose a tier–start with 50 free API calls/month, or stake TMAI tokens for premium access.
  4. Optionally–download the SDK, install it for your preferred programming language, and follow the provided setup guide.

At Token Metrics, we believe data should be decentralized, predictive, and actionable. 

The Token Metrics API & SDK bring next-gen AI-powered crypto intelligence to anyone looking to trade smarter, build better, and stay ahead of the curve. With our official SDK, developers can plug these insights into their own trading bots, dashboards, and research tools – no need to reinvent the wheel.

Research

What Are The Risks of AI Controlling DAOs? Critical Risks Every Crypto Investor Must Know

Talha Ahmad
5 min
MIN

The convergence of artificial intelligence and decentralized autonomous organizations (DAOs) marks a groundbreaking moment in blockchain technology. This fusion promises to revolutionize governance by automating decision making and enhancing efficiency through AI-driven systems. However, while integrating AI technologies into DAOs offers exciting opportunities, it also introduces a complex array of risks that could fundamentally undermine the democratic ideals upon which decentralized autonomous organizations were founded. Understanding what are the risks of AI controlling DAOs is essential for anyone involved in decentralized finance, governance, or the broader crypto ecosystem.

Introduction to AI-Controlled DAOs: Definition and Overview

AI-Controlled DAOs are decentralized autonomous organizations that leverage artificial intelligence to manage and govern their operations with minimal human intervention. By integrating advanced AI models and algorithms into the core of DAO governance, these entities can autonomously execute decision making processes, optimize asset management, and adapt to changing environments in real time. Artificial intelligence AI enables DAOs to analyze complex data sets, identify patterns, and make informed decisions without relying on centralized authorities or manual oversight. This fusion of AI and DAOs is reshaping the landscape of decentralized governance, offering the potential for more efficient, scalable, and self-sustaining organizations. As AI development continues to advance, the role of AI models in decentralized autonomous organizations is set to expand, fundamentally transforming how decisions are made and assets are managed across the crypto ecosystem.

The Rise of AI-Driven DAOs: A Double-Edged Innovation

AI-driven DAOs represent a new paradigm in the DAO space, where artificial intelligence tools and advanced AI models are entrusted with governance responsibilities traditionally held by human token holders. These AI agents can propose changes, vote on governance issues, and even execute decisions autonomously via smart contracts. This shift from human-centric governance to algorithm-driven decision making promises increased scalability and productivity, potentially unlocking new revenue streams and optimizing asset management.

However, this evolution also introduces unique challenges. The autonomous nature of AI acting within DAOs raises critical questions about ethical concerns, security vulnerabilities, and the balance of power between AI systems and human intervention. Unlike traditional DAOs, where risks often stem from voter apathy or central authority influence, AI DAOs face the threat of model misalignment—where AI algorithms optimize for objectives that deviate from human intentions. This misalignment is not merely theoretical; it is a practical issue that can disrupt consensus mechanisms and jeopardize the strategic direction of decentralized autonomous organizations.

In essence, while AI technologies can propel DAOs into a new era of efficiency and data-driven insights, they also potentially lead to scenarios where AI systems act in ways that conflict with the foundational principles of decentralization and democratic governance, potentially leading to significant risks or harm if not properly managed.

But what if AI ownership within DAOs shifts the balance of power entirely, allowing autonomous agents to make decisions without meaningful human oversight? But what happens when collective intelligence is governed by algorithms rather than people, and how might this reshape the future of decentralized organizations?

The Benefits of AI-Controlled DAOs: Promise and Potential

The integration of AI and DAOs brings a host of compelling benefits that are driving innovation in decentralized governance. AI-Controlled DAOs can automate decision making processes, enabling faster and more consistent responses to governance challenges. By harnessing the analytical power of AI daos, these organizations can process vast amounts of data, uncover actionable insights, and make data-driven decisions that enhance overall performance. This automation not only streamlines operations but also opens up new revenue streams and business models, as AI-driven DAOs can identify and capitalize on emerging opportunities more efficiently than traditional structures. Improved asset management is another key advantage, with AI systems optimizing resource allocation and risk management. Ultimately, the synergy between AI and DAOs empowers organizations to become more resilient, adaptive, and innovative, paving the way for a new era of decentralized, autonomous governance.

Critical Risk Categories in AI-Controlled DAOs

1. Model Misalignment and Goal Deviation

At the heart of AI risks in DAO governance lies the problem of model misalignment. AI systems, especially those powered by machine learning models and large language models, operate by optimizing specific metrics defined during training. Training AI models in isolated environments or silos can increase the risk of misalignment and loss of control, as these models may not be exposed to the diverse perspectives and values necessary for safe and ethical outcomes. However, these metrics might not capture the full spectrum of human values or community goals. As a result, an AI system could pursue strategies that technically fulfill its programmed objectives but harm the DAO’s long-term interests.

For example, an AI agent managing financial assets within a decentralized autonomous organization might prioritize maximizing short-term yield without considering the increased exposure to security risks or market volatility. The Freysa contest highlighted how malicious actors exploited an AI agent’s misunderstanding of its core function, tricking it into transferring $47,000. This incident underscores how AI models, if not properly aligned and monitored, can be manipulated or confused, leading to catastrophic outcomes.

2. Algorithmic Bias and Democratic Erosion

AI systems inherit biases from their training data and design, which can erode the democratic ethos of DAO governance. While DAO governance AI tools are designed to enhance proposal management and moderation, they can also inadvertently reinforce biases if not properly monitored. Biases embedded in AI algorithms may result in unfair decision making, favoring certain proposals, contributors, or viewpoints disproportionately. These biases manifest in several ways:

  • Selection Bias: AI models might consistently prioritize certain types of proposals or token holders, marginalizing others.
  • Historical Bias: Training data reflecting past inequalities can perpetuate systemic discrimination within DAO governance.
  • Confirmation Bias: AI-driven decision-making could reinforce existing organizational tendencies, stifling innovation and diverse perspectives.

Such biases threaten to undermine the promise of decentralized networks by creating invisible barriers to participation, effectively centralizing power despite the decentralized structure.

3. Security Vulnerabilities and Attack Vectors

Integrating AI into DAOs introduces new security risks that extend beyond traditional smart contract vulnerabilities. AI systems depend heavily on training data and algorithms, both of which can be targeted by malicious actors seeking to manipulate governance outcomes.

Key security concerns include:

  • Unauthorized Access and Model Tampering: Without robust access controls, attackers can alter AI model outputs, compromising trust in decision making. Improper or overly broad ai permission settings can allow attackers to exploit AI authority within DAOs, making it essential to enforce strict permission controls to limit unauthorized actions.
  • Data Poisoning: Corrupting training data can mislead AI systems, causing them to make flawed or harmful decisions.
  • Adversarial Attacks: Malicious inputs crafted specifically to deceive AI models can lead to unpredictable and damaging behavior.
  • Prompt Injection: Attackers can exploit AI assistants or natural language processing capabilities to inject deceptive instructions, as seen in the Freysa incident.
  • Model Extraction: Competitors or attackers may reverse-engineer proprietary AI algorithms, exposing intellectual property and governance strategies.

These vulnerabilities underscore the necessity for decentralized autonomous organizations to implement robust security protocols that safeguard both AI systems and the underlying smart contracts.

4. Centralization Through Technical Complexity

One of the most subtle yet profound risks of AI in DAOs is the potential for centralization of power among a small group of technical experts or "AI wizards." The complexity of AI development and maintenance creates a knowledge barrier that limits meaningful participation to those with specialized skills. This technical gatekeeping can result in governance control shifting from the broader community to a few individuals who understand and can manipulate AI systems.

Such centralization contradicts the decentralized ethos of DAOs and risks creating new oligarchies defined by AI expertise rather than token ownership or community contribution. Over time, this dynamic could erode trust and reduce the legitimacy of AI-driven DAO governance.

5. Regulatory and Compliance Nightmares

AI-controlled DAOs operate in a regulatory gray area, facing challenges that traditional organizations do not. The autonomous nature of AI acting within decentralized networks complicates accountability and legal responsibility. Key regulatory concerns include:

  • Accountability: When AI systems make autonomous decisions, determining liability for errors or malicious actions becomes complex.
  • Cross-Jurisdictional Compliance: DAOs operate globally, but AI governance regulations vary widely by jurisdiction, creating compliance challenges.
  • Evolving Standards: Rapid advances in AI development and shifting regulatory landscapes mean DAOs risk falling out of compliance as standards change.

These factors introduce legal uncertainties that could expose AI DAOs to sanctions, fines, or operational restrictions, complicating their long-term viability.

Real-World Manifestations of AI DAO Risks

The risks associated with AI-driven DAOs are not merely theoretical. In 2025 alone, smart contract security flaws led to over $90 million in losses due to hacks and exploits within DAO structures. When AI systems are layered onto these vulnerabilities, the potential for cascading failures grows exponentially.

Incidents have already demonstrated how attackers exploit governance mechanisms, manipulating voting and decision-making processes. AI’s speed and efficiency can be weaponized to identify arbitrage opportunities that disadvantage the DAO itself. Moreover, AI systems processing community input may be vulnerable to sophisticated social engineering and disinformation campaigns, further destabilizing governance. The use of ai agent comments in forum discussions and governance decisions can amplify manipulation by allowing AI to influence outcomes directly. There is also a risk that AI-powered moderation tools could inadvertently generate or spread hate speech, making it essential to implement safeguards to prevent toxic content. Additionally, the proliferation of ai generated content, such as misinformation or abusive material, poses dangers by misleading users and undermining the stability of governance.

These real-world examples highlight the urgent need for comprehensive risk management strategies in AI DAO integration.

The Data Quality Crisis

A frequently overlooked risk in AI-controlled DAOs is the quality and integrity of data used to train and operate AI models. Since AI systems rely heavily on training data, any flaws or manipulation in this data can compromise the entire governance process.

In decentralized autonomous organizations, this risk manifests through:

  • Incomplete Information: DAOs often lack extensive historical data, limiting the reliability of AI-driven predictions and decisions.
  • Gaming Risks: Members may intentionally manipulate input data to influence AI decision making for personal gain.
  • External Dependencies: Reliance on third-party data sources introduces vulnerabilities to external tampering or failures.

Ensuring the accuracy, completeness, and security of training data is therefore paramount to maintaining AI safety and trustworthy DAO governance.

Asset Management in AI-Controlled DAOs: New Frontiers, New Risks

Asset management is at the heart of many AI-Controlled DAOs, as these organizations are tasked with overseeing and optimizing a wide range of financial assets and digital resources. By deploying advanced AI models, including machine learning models and natural language processing tools, AI-Controlled DAOs can analyze market data, forecast trends, and make strategic investment decisions with unprecedented speed and accuracy. However, this reliance on AI systems introduces new security vulnerabilities and risks. Malicious actors may attempt to exploit weaknesses in AI algorithms, manipulate training data, or launch sophisticated attacks targeting the DAO’s asset management protocols. To address these challenges, AI-Controlled DAOs must implement robust security protocols, ensure the integrity and quality of their training data, and establish transparent governance structures that can respond to emerging threats. By proactively managing these risks, AI-Controlled DAOs can unlock new opportunities for growth while safeguarding their financial assets and maintaining trust within their communities.

Navigating the Risks: Lessons from Token Metrics

Despite these challenges, responsible integration of artificial intelligence in DAO governance is achievable. Platforms like Token Metrics exemplify how AI tools can enhance decision making without sacrificing transparency or human oversight.

Token Metrics is an AI-powered crypto analytics platform that leverages advanced AI models and predictive analytics to identify promising tokens and provide real-time buy and sell signals. By anticipating future trends through AI-driven predictions, Token Metrics helps DAOs and investors improve investment strategies and resource management. Some of the advanced AI models used by Token Metrics are based on large language model technology, which underpins content analysis and decision support for more effective DAO operations. Their approach balances AI-driven insights with human judgment, embodying best practices for AI and DAOs:

  • Transparency: The platform openly explains its AI recommendations, mitigating the black box problem common in AI systems.
  • Human-AI Collaboration: Rather than replacing humans, Token Metrics augments human analysis with AI-generated data-driven insights.
  • Risk Management: Multiple data sources and validation mechanisms reduce single points of failure and improve reliability.
  • Continuous Learning: Their AI models are regularly updated based on market feedback and user input to maintain alignment with investor goals.

With a track record of 8,000% returns from AI-selected crypto baskets, Token Metrics demonstrates that artificial intelligence tools, when implemented with robust safeguards and human oversight, can unlock new revenue streams and improve DAO productivity without compromising security or ethical standards.

AI Model Ownership: Legal and Technical Implications

As AI models become central to the operation of AI-Controlled DAOs, questions around ownership and intellectual property take on new significance. Determining who owns the rights to an AI model—whether it’s the developers, the DAO itself, or the broader community—can have far-reaching legal and technical implications. Issues of liability and accountability also arise, especially when AI-driven decisions lead to unintended consequences or disputes. To navigate these complexities, AI-Controlled DAOs need to establish clear policies regarding AI model ownership, including licensing agreements and governance frameworks that protect the interests of all stakeholders. Addressing these challenges is essential for ensuring transparency, safeguarding intellectual property, and fostering innovation in the rapidly evolving landscape of AI and decentralized autonomous organizations.

Mitigation Strategies and Best Practices

Although AI-controlled DAOs face significant risks, these challenges are not insurmountable. Proactive strategies can help organizations safely integrate AI technologies into their governance structures. It is especially important to establish clear rules and safeguards for scenarios where AI owns assets or treasuries within DAOs, as this fundamentally changes traditional notions of ownership and financial authority.

  • Implement robust access controls and multi-signature wallets to prevent unauthorized actions by AI agents.
  • Regularly audit smart contracts and AI code to identify and patch vulnerabilities before they can be exploited.
  • Use platforms like Ocean Protocol to enable decentralized data sharing and AI integration, which can enhance security, empower data owners, and automate governance processes.
  • Foster collaboration between DAOs, such as the Amazon rainforest DAO, where AI-powered metagovernance and swarm intelligence facilitate joint decision-making and address environmental challenges like deforestation and climate change.
  • Consider the environmental impact of AI deployment, particularly the significant energy consumption of data centers that power large-scale AI systems, and prioritize sustainable infrastructure to minimize harm.

1. Hybrid Governance Models

Combining AI automation with human oversight is critical. DAOs should reserve high-impact decisions for human token holders or expert councils, ensuring AI-driven decisions are subject to review and intervention when necessary. This hybrid approach preserves the benefits of AI while maintaining democratic participation.

2. Continuous Alignment Monitoring

Alignment between AI algorithms and community values must be an ongoing process. Regular audits and testing of AI decision-making against expected outcomes help detect and correct goal deviations early. Treating alignment as a continuous operational expense is essential for AI safety.

3. Distributed Technical Expertise

Investing in community education and skill-building democratizes AI stewardship. By broadening technical expertise among members, DAOs can prevent governance capture by a small group of AI experts and foster a more decentralized technical ecosystem.

4. Robust Security Frameworks

Implementing comprehensive security protocols is vital. Measures include:

  • Multi-signature requirements for AI-initiated transactions
  • Anomaly detection systems to flag unusual AI behavior
  • Regular security audits of both AI systems and smart contracts
  • Incident response plans tailored to AI-specific threats

These steps help safeguard DAO governance against malicious AI and external attacks.

The Path Forward: Balancing Innovation and Risk

The future of AI-controlled DAOs hinges on striking the right balance between leveraging AI’s capabilities and preserving meaningful human intervention. As AI development and decentralized networks continue to evolve, more sophisticated governance models will emerge that integrate AI-driven decision making with community oversight.

Organizations exploring AI in DAO governance should:

  1. Start with limited AI roles in non-critical functions to minimize risk.
  2. Maintain transparency about AI system operations to build trust.
  3. Preserve mechanisms for human override to ensure control remains with the community.
  4. Conduct regular audits to monitor AI performance and compliance.
  5. Educate members about AI risks and benefits to foster informed participation.

By adopting these practices, DAOs can harness the advantages of artificial intelligence while mitigating its inherent risks.

Conclusion: Preparing for an AI-Governed Future

Integrating artificial intelligence into decentralized autonomous organizations offers transformative potential but also brings significant challenges. While AI can enhance efficiency, reduce certain human biases, and enable more responsive governance, it simultaneously introduces new security risks, ethical concerns, and governance complexities that could threaten the democratic foundations of DAOs.

Success in this evolving landscape depends on thoughtful AI development, robust risk management, and transparent human-AI collaboration. Platforms like Token Metrics illustrate how AI products can deliver powerful, data-driven insights and automation while maintaining accountability and community trust.

As we stand at this technological crossroads, understanding what are the risks of AI controlling DAOs is essential. By acknowledging these risks and implementing appropriate safeguards, the crypto community can work towards a future where AI enhances rather than replaces human agency in decentralized governance—preserving the revolutionary promise of decentralized autonomous organizations.

For investors and participants in the crypto ecosystem, staying informed about these emerging technologies and choosing platforms with proven responsible AI implementation will be crucial for navigating the complex and rapidly evolving DAO space.

Research

Can AI and Blockchain Be Combined for IoT? The Revolutionary Convergence Transforming Industries in 2025

Talha Ahmad
5 min
MIN

In the rapidly evolving digital landscape of 2025, a groundbreaking convergence is taking place among three transformative technologies: Artificial Intelligence (AI), Blockchain, and the Internet of Things (IoT). This powerful combination is not merely a theoretical possibility—it is actively reshaping industries by redefining how connected devices communicate, how data is managed, and how decisions are made autonomously. Understanding can AI and blockchain be combined for IoT applications is essential for businesses, investors, and technologists aiming to harness the full potential of this technological revolution.

At the forefront, IoT devices generate vast amounts of data from sensors embedded in everything from smart cities to healthcare systems. AI algorithms analyze this real-time data to derive actionable insights, while blockchain technology ensures data integrity and security through decentralized, tamper-proof transaction records. Together, these technologies enable smarter, more secure, and autonomous IoT ecosystems that are transforming how industries operate.

The Foundation: Understanding the Technological Trinity

To appreciate the synergy between AI, blockchain, and IoT, it is important to understand each technology’s role.

Artificial Intelligence refers to computer systems capable of human-like cognition, including reasoning, learning, and decision-making. In 2025, AI systems leverage advanced machine learning and neural networks to process massive datasets generated by IoT sensors in real time. These AI models empower IoT devices to evolve from simple data collectors into autonomous systems capable of predictive maintenance, anomaly detection, and optimized resource allocation.

Blockchain technology acts as a decentralized ledger that records digital transactions securely and transparently without intermediaries. By storing data across distributed blockchain networks, it enhances security features and guarantees data provenance and integrity. Blockchain protocols enable smart contracts—self-executing agreements that automate and secure interactions between IoT devices, ensuring trustworthy digital transactions.

Internet of Things (IoT) encompasses the vast network of connected devices embedded with sensors and software that collect and exchange data. IoT systems span smart grids, smart cities, healthcare devices, and industrial automation. With projections estimating around 30 billion IoT devices worldwide by 2030, the volume of data generated demands robust AI and blockchain integration to optimize data management and security.

The Market Reality: Explosive Growth and Convergence

The convergence of AI, blockchain, and IoT is no longer a futuristic concept but a tangible market phenomenon with significant economic impact. The combined market capitalization of these technologies exceeded $1.362 trillion in 2024 and is expected to grow exponentially as their integration deepens.

The IoT market alone, valued at $300 billion in 2021, is projected to surpass $650 billion by 2026, with estimates reaching $3.3 trillion by 2030. This growth is fueled by the increasing demand for secure, intelligent IoT networks that can handle the massive data flows generated by connected devices.

This convergence addresses practical challenges faced by traditional cloud-based data processing, such as latency, high costs, and vulnerability to cyber threats. Integrating AI and blockchain within IoT ecosystems optimizes data analysis and enhances security protocols, making it an indispensable strategy for modern enterprises.

How the Integration Works: The Technical Symphony

AI as the Intelligence Layer

AI forms the cognitive backbone of IoT systems by transforming raw data collected from IoT sensors into meaningful insights. Through machine learning and neural networks, AI analyzes data generated by connected devices to detect anomalies, predict equipment failures, and optimize energy management in real time.

For example, AI algorithms embedded in smart grids can forecast electricity demand and adjust distribution accordingly, reducing waste and improving sustainability. Similarly, in manufacturing, AI-driven predictive maintenance minimizes downtime by identifying potential faults before they escalate.

By integrating AI processes with IoT data flows, enterprises can automate decision-making and enhance operational efficiency, turning IoT devices into autonomous systems capable of adapting dynamically to changing environments.

Blockchain as the Trust Infrastructure

While AI provides intelligence, blockchain technology offers the trust and security layer vital for IoT networks. Blockchain enhances security by decentralizing data storage and transaction records, making it resistant to tampering and cyber breaches.

Key applications of blockchain in IoT include:

  • Device Authentication: Each IoT device receives a unique digital identity secured cryptographically on the blockchain, ensuring only authorized devices participate in the network. This prevents unauthorized access and exploits of vulnerabilities.
  • Data Provenance and Integrity: Blockchain records the origin and history of data generated by IoT sensors, guaranteeing its authenticity. For instance, blockchain can verify that temperature readings in a cold chain logistics system were not altered during transit.
  • Smart Contracts for Automated Transactions: Blockchain-enabled smart contracts facilitate secure, automated transactions between devices without intermediaries. This capability supports autonomous financial transactions such as toll payments by connected vehicles or peer-to-peer energy trading in smart grids.

By integrating blockchain systems with IoT, enterprises can achieve enhanced security features and maintain data privacy while enabling transparent and tamper-proof data management.

The Convergence in Action

The fusion of AI, blockchain, and IoT technologies creates a new digital operating system where blockchain serves as the secure trust layer, IoT devices provide continuous streams of real-time data, and AI models analyze and act on this data autonomously. This convergence is revolutionizing industries by enabling decentralized AI models to operate securely across blockchain networks, optimizing IoT ecosystems with enhanced data security and operational intelligence.

Real-World Applications Transforming Industries

Smart Supply Chains and Logistics

Supply chains are becoming increasingly complex, requiring flexible, transparent, and adaptive solutions. AI algorithms analyze IoT data from sensors monitoring shipment conditions and locations, predicting delays and optimizing delivery routes. Blockchain technology ensures the authenticity and traceability of goods by securely recording transaction records and device authentication events.

This integration improves inventory management by providing end-to-end visibility, reducing fraud, and preventing data breaches, ultimately enhancing customer trust and operational efficiency.

Autonomous Financial Transactions

The combination of AI and blockchain enables connected devices like autonomous vehicles and drones to conduct financial transactions independently. Smart contracts automate payments for services such as EV charging, tolls, or retail purchases, reducing friction and improving user experience.

For example, an electric vehicle can automatically pay for charging at a smart grid station using blockchain transactions secured by AI-enhanced security protocols. This autonomous system streamlines commerce within the IoT ecosystem.

Energy Management and Sustainability

In smart grids, AI optimizes energy distribution by analyzing real-time data from IoT sensors, forecasting demand, and adjusting supply dynamically. Blockchain facilitates peer-to-peer energy trading between participants, ensuring secure and transparent transactions.

This integration supports sustainability goals by optimizing resource allocation, reducing energy waste, and enabling decentralized energy markets that empower consumers and producers alike.

Healthcare and Medical Devices

IoT medical devices continuously collect sensitive patient data, which AI systems analyze to detect early signs of diseases and personalize treatment plans. Blockchain technology ensures the secure management and privacy of patient data by decentralizing storage and controlling access through smart contracts.

This convergence enhances healthcare system efficiency, enabling seamless and secure sharing of medical records across providers while protecting against data breaches.

The Role of Advanced Analytics: Token Metrics Leading the Way

Navigating the complex intersection of AI, blockchain, and IoT requires sophisticated analytics platforms. Token Metrics, a premier crypto trading and analytics platform, leverages AI technologies to help investors identify promising AI-blockchain-IoT projects early.

Token Metrics integrates AI-driven data analytics, sentiment analysis, and real-time market data across thousands of tokens. Its AI models assign Trader Grades and Investor Grades to tokens, guiding users in making informed decisions within this rapidly evolving market.

By consolidating research, portfolio management, and trading tools, Token Metrics empowers investors to capitalize on the AI blockchain’s role in transforming IoT ecosystems and digital transactions.

Current Challenges and Solutions

Scalability and Data Management

The enormous volume of data generated by IoT devices demands scalable AI processing and blockchain storage solutions. Edge computing addresses latency and bandwidth constraints by processing data closer to the source. Layer-2 blockchain protocols improve transaction throughput, making blockchain operations more efficient and cost-effective.

Security and Privacy

While blockchain enhances security, integrating AI models and IoT networks introduces new vulnerabilities. Enterprises must implement robust security features, including advanced encryption and privacy-preserving AI techniques, to protect sensitive data and comply with data privacy regulations.

Interoperability

Diverse blockchain networks, AI frameworks, and IoT protocols present challenges for seamless integration. Standardized interfaces and cross-platform compatibility solutions are essential to enable smooth data flows and cohesive system operation.

Future Outlook: The 2030 Vision

Looking ahead, the integration of AI, blockchain, and IoT is poised to create an adaptable, interconnected digital ecosystem. By 2030, AI-enhanced blockchain networks combined with 5G connectivity will enable unprecedented real-time data analysis and autonomous decision-making across industries.

Digital wallets, empowered by blockchain protocols, will expand beyond cryptocurrencies to support seamless device authentication and smart contract interactions. The in-car payment market alone is expected to reach $530 billion, with vehicles conducting secure, autonomous transactions via blockchain-linked SIM cards.

This complete ecosystem integration will power smart cities, smart grids, healthcare systems, and autonomous systems, unlocking new efficiencies and innovations.

Strategic Implications for Businesses

In 2025, companies that fail to embrace the convergence of AI, blockchain, and IoT risk falling behind. To remain competitive, organizations must:

  • Develop integrated technology infrastructures that unify AI systems, blockchain networks, and IoT devices.
  • Implement data strategies that leverage AI for data analysis while using blockchain to ensure data integrity and secure management.
  • Establish comprehensive security protocols addressing the unique challenges of interconnected AI-blockchain-IoT environments.
  • Invest in talent capable of navigating the intersection of these technologies rather than isolated specializations.

Conclusion: The Inevitable Future

The question is no longer can AI and blockchain be combined for IoT—the answer is a resounding yes. The real challenge lies in how swiftly organizations can adapt to this convergence that is fundamentally transforming digital ecosystems.

By harnessing AI intelligence, blockchain trust, and IoT connectivity, businesses can create autonomous systems that think, transact, and optimize in real time while maintaining the highest standards of data privacy and security. Platforms like Token Metrics provide the tools to navigate this revolution, identifying opportunities and mitigating risks in the evolving digital economy.

The convergence of AI, blockchain, and IoT is here, the market is responding, and transformation is accelerating. The future belongs to those ready to embrace this revolutionary synergy and lead the next wave of innovation. Are you ready to be part of this transformative journey?

Research

What Are Real-World Assets in Crypto? A Complete Guide

Talha Ahmad
5 min
MIN

The cryptocurrency landscape is undergoing a revolutionary transformation as traditional finance converges with blockchain technology. At the forefront of this evolution are Real-World Assets (RWAs) – a groundbreaking innovation bridging the gap between physical assets and digital finance. As we navigate through 2025, understanding what are real world assets in crypto has become essential for investors, institutions, and anyone looking to capitalize on this trillion-dollar opportunity.

Understanding Real-World Assets (RWAs)

Real-World Assets in crypto refer to digital tokens that represent ownership or economic rights to tangible, physical assets or traditional financial instruments. Unlike conventional cryptocurrencies, which derive their value primarily from market speculation or utility within a digital ecosystem, RWA tokens are backed by concrete, verifiable assets existing in the real world. This intrinsic backing provides a level of stability and investor confidence that pure digital assets may lack.

In essence, RWAs are crypto tokens that represent physical assets such as bonds, real estate properties, commodities, machinery, and more. They serve as a bridge bringing traditional financial assets into the realm of decentralized finance (DeFi). Through the tokenization process, these often illiquid assets are transformed into tradeable digital tokens, enabling features like fractional ownership and global access. This innovation opens new doors for asset management, making high-value and previously inaccessible assets available to a broader range of investors.

Types of Real-World Assets Being Tokenized

The scope of real world asset tokenization is vast and continues to expand across various asset classes:

Financial Instruments

Government bonds, treasury bills, and corporate debt are increasingly being tokenized, merging traditional fixed-income investing with blockchain technology. For example, BlackRock’s BUIDL fund, launched in March 2024, commands a dominant 44% market share in tokenized treasuries. These financial assets offer stable yields and introduce a new dimension of financial innovation by making traditional assets accessible via digital tokens.

Real Estate

The real estate industry is one of the most active sectors embracing tokenization. Platforms like Propy and RealT facilitate tokenized real estate investment, allowing investors to acquire fractional ownership in commercial and residential properties. This approach democratizes access to valuable assets that were traditionally out of reach for retail investors, enabling them to benefit from rental income and property appreciation through onchain finance.

Commodities

Commodity-backed tokens, particularly those linked to precious metals like gold, constitute a significant portion of the RWA market. Tokens such as Tether Gold (XAUT) and PAX Gold (PAXG) represent approximately 84% of this sector, which has seen growth of 67.8% since 2024, reaching a market capitalization of $1.9 billion. These tokens provide a secure and liquid means of investing in tangible assets without the need for physical storage.

Art and Collectibles

High-value artworks, vintage wines, and collectibles are being tokenized to increase accessibility and liquidity. Blockchain verification ensures authenticity and provenance, allowing investors to own fractions of unique and intellectual property assets that were once difficult to trade.

Private Credit

Private credit protocols are emerging as a bridge between traditional lending and DeFi, providing loans to real-world businesses, especially in emerging markets. This sector leverages crypto capital to support business growth, offering new investment opportunities and enhancing financial inclusion.

The Technology Behind RWA Tokenization

The process of asset tokenization involves multiple critical steps to ensure security, compliance, and seamless integration with the digital ecosystem:

Asset Selection and Verification

Before tokenization, asset owners and asset issuers conduct thorough evaluations of the underlying asset. This includes legal due diligence to comply with local laws and regulatory compliance, valuation assessments, and verification of ownership. This rigorous process ensures that the tokenized assets represent valuable and legitimate physical or financial assets.

Smart Contract Development

Once the asset is selected, developers create smart contracts that define the token’s specifications. These contracts determine whether the token is fungible or non-fungible, select appropriate token standards (such as ERC20 or ERC721), and choose the blockchain platform best suited for the token’s purpose. Smart contracts automate ownership transfers, dividend distributions, and other functions, streamlining asset management and reducing counterparty risk.

Oracle Integration

A crucial component of RWA tokenization is integrating real world data with blockchain networks. Oracles like Chainlink securely bridge off-chain information to on-chain environments, ensuring that the digital tokens accurately reflect the status and value of the underlying assets. This integration allows tokenized real world assets to function effectively within decentralized finance ecosystems.

Market Growth and Institutional Adoption

The RWA sector has witnessed explosive growth, with overall market capitalization reaching unprecedented levels. By September 2025, top Real World Assets coins collectively boast a market cap of approximately $38.46 billion, driven largely by strong interest from institutional investors and financial institutions.

Forecasts suggest that by the end of 2025, the total value of RWAs on-chain (excluding stablecoins) could surpass $500 billion, with over $50 billion already tokenized. Prominent financial players are spearheading this movement:

  • BlackRock introduced the BUIDL tokenized money market fund, pioneering tokenized treasury investments.
  • Goldman Sachs and BNP Paribas have launched pilot projects on the Canton Network to explore tokenized asset offerings.
  • Fidelity and VanEck announced plans for tokenized funds slated for 2025.
  • HSBC debuted cross-border tokenized deposit products, enhancing global access.

This institutional adoption is a testament to the growing confidence in the digital asset ecosystem and the potential for RWAs to transform traditional finance.

Benefits of RWA Tokenization

The tokenization of real-world assets brings numerous advantages that revolutionize how investors interact with traditional and physical assets:

Enhanced Liquidity

Many traditionally illiquid assets such as real estate and private equity become tradeable 24/7 through tokenization. The ability to buy and sell fractions of assets on secondary markets eliminates lengthy settlement processes and unlocks liquidity pools that were previously inaccessible.

Fractional Ownership

Tokenization enables fractional ownership, allowing investors to purchase small portions of high-value assets. This lowers entry barriers and democratizes access to markets like real estate investment and government bonds, which have traditionally required substantial capital.

Global Accessibility

By leveraging blockchain technology, tokenized assets transcend geographic and regulatory boundaries. Investors worldwide gain global access to diverse asset classes, promoting financial inclusion and broadening the investor base.

Transparency and Security

Blockchain offers immutable records of ownership and transaction history, enhancing transparency in asset management. Coupled with robust security measures, this reduces fraud and increases investor confidence.

Cost Efficiency

Automated processes via smart contracts eliminate intermediaries, reducing transaction fees and administrative overhead. This streamlining leads to faster settlements and improved cost efficiency for both asset managers and investors.

Leveraging Token Metrics for RWA Trading Success

As the RWA market grows, navigating its complexities requires sophisticated tools and analytics. Token Metrics stands out as a premier crypto trading and analytics platform, empowering investors to make informed decisions in the evolving RWA landscape.

Token Metrics uses advanced AI-powered analytics to analyze market trends, token performance, and emerging investment opportunities across thousands of tokens, including those representing RWAs. Its features include:

  • Real-time AI buy and sell signals that help spot winning tokens early.
  • Deep-dive research tools that assess tokenomics, underlying asset quality, and growth potential.
  • AI-curated portfolios optimized for short and long-term gains.
  • Seamless trading integration with API connectivity, enabling users to execute trades based on AI insights.

For investors seeking to capitalize on the growth of RWAs, Token Metrics offers a comprehensive toolkit to enhance decision-making and portfolio management.

Current Challenges and Future Outlook

Despite the promising potential, real world assets rwas face several challenges that must be addressed for widespread adoption:

Regulatory Uncertainty

The legal status of tokenized RWAs remains ambiguous in many jurisdictions, as these tokens do not fit neatly into existing categories like commodities or securities. This regulatory uncertainty complicates compliance and investor protection efforts.

Standardization Issues

The lack of universal protocols for RWA tokens hampers interoperability across different blockchain platforms and ecosystems. Standardization is critical for seamless asset transfer and integration with traditional financial systems.

Security Risks

While blockchain offers enhanced security, the systems remain vulnerable to exploits and hacker attacks. Protecting digital tokens and ensuring the integrity of private blockchain networks are ongoing priorities.

Nevertheless, the outlook is optimistic. Regulatory clarity is expected to improve, with influential appointments such as Paul Atkins as SEC chair signaling a more defined legal framework. Continued innovation in digital technology and onchain finance will further streamline real world asset tokenization, making it more accessible and secure.

Leading RWA Platforms and Projects

Several pioneering projects are shaping the RWA ecosystem by providing infrastructure and innovative solutions:

  • Ondo Finance (ONDO) specializes in tokenizing U.S. Treasuries and traditional financial products, offering institutional clients new avenues for fixed-income investing.
  • Centrifuge (CFG) builds infrastructure that connects real-world assets to DeFi protocols, enabling asset owners to tokenize and finance their holdings.
  • Maple Finance focuses on undercollateralized lending to institutions, bridging traditional finance and crypto capital.
  • TrueFi provides uncollateralized lending protocols aimed at real-world businesses, supporting growth through decentralized credit.

Projects like Ondo, VeChain, and Chromia are recognized as some of the best RWA tokens for diversified portfolios. VeChain, in particular, leverages its experience with mainstream firms to enhance data management and tokenization processes, reinforcing the ecosystem’s robustness.

Conclusion

Real-World Assets represent a paradigm shift in ownership, investment, and financial markets. By converting tangible assets and traditional assets into digital tokens, the financial industry is moving towards a more inclusive, efficient, and transparent system that benefits both retail and institutional investors.

The era of real world asset tokenization is no longer a distant vision but a present reality, with 2025 marking a pivotal year in narrowing the divide between crypto-native communities and traditional finance. For investors eager to harness this revolutionary trend, platforms like Token Metrics provide the essential tools and insights needed to navigate the complex RWA landscape successfully.

Ultimately, the convergence of blockchain technology and traditional financial assets is not just changing how we invest—it is redefining the very nature of asset ownership and participation in the digital economy. Embracing this digital transformation unlocks unparalleled opportunities for financial inclusion, cost efficiency, and enhanced liquidity in the global financial system.

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Crypto Basics

How to Find 100x Altcoins Before They Explode | Token Metrics Moonshot Guide

Token Metrics Team
8 min
MIN

In the world of cryptocurrency, the term “moonshot” isn’t just slang—it’s the dream. A moonshot is that rare token that delivers 100x or even 1000x returns, turning small investments into massive profits. But the real question is: how do you find these altcoins before they explode?

In this guide, we’ll break down what moonshots are, how they work, and most importantly, how to use Token Metrics—the leading AI-powered crypto analytics platform—to discover hidden gems before the crowd catches on.

What Are Moonshot Altcoins?

Moonshots are low market cap altcoins with high growth potential. These tokens often start under the radar, trading at fractions of a cent, and then experience explosive price action fueled by community hype, technical breakthroughs, or big news.

Common Traits of Moonshot Altcoins:

  • Market Cap < $50M – Small enough to grow exponentially
  • High Volatility – Swings of 20–100% daily are not unusual
  • Speculative Narrative – Often driven by trend cycles like AI, DePIN, or meme coin mania
  • Community Driven – Strong social momentum via X (Twitter), Telegram, or Discord
  • Limited Listings – Usually launched on decentralized exchanges (DEXs) before hitting major CEXs

These tokens carry high risk but also high reward. Timing and information are everything—and that’s where Token Metrics comes in.

How Moonshot Altcoins Work

The mechanics behind a moonshot typically follow a cycle of accumulation, hype, breakout, and profit-taking:

  1. Early Accumulation – Smart money (including whales and insiders) buys in at low prices.
  2. Volume Spike – Trading activity picks up as new investors notice price movements.
  3. Parabolic Move – Price jumps rapidly due to FOMO and social media hype.
  4. Peak & Correction – Early buyers take profits, causing volatility or sharp retracement.

Catching the token in Phase 1 or 2 is crucial. If you're entering during the parabolic move, the risk/reward ratio is much worse.

That’s why traders and investors rely on data and AI-powered tools like Token Metrics to identify moonshots before they explode.

How to Use Token Metrics to Find Moonshots

Token Metrics offers a dedicated Moonshots feature powered by machine learning models trained on thousands of historical signals. It helps you find high-potential altcoins before they go mainstream.

Here’s a step-by-step guide to finding moonshot tokens using Token Metrics:

✅ Step 1: Go to the Ratings Page

  • From your Token Metrics dashboard, navigate to the “Ratings” tab.
  • This is where tokens are scored using Trader Grade and Investor Grade, based on factors like:
    • Technical indicators
    • On-chain activity
    • Market momentum
    • Social sentiment

Trader Grade is especially important for identifying short-term opportunities and moonshot candidates.

✅ Step 2: Click on the “Moonshots” Tab

Inside the Ratings page:

  • Click the “Moonshots” tab at the top.
  • This filters tokens identified by the platform’s AI as having short-term explosive potential.

These are not random picks—they are selected based on:

  • Sharp trader grade increases
  • Unusual volume and price action
  • Sentiment spikes
  • Market cap vs. performance anomalies

The Moonshots page refreshes in real-time to capture fast-moving opportunities.

✅ Step 3: Review Key Metrics

Each token listed in the Moonshots section includes crucial data to guide your decisions:

  • Trader Grade (with % change over time)
  • 24-Hour Trading Volume – Helps gauge interest and momentum
  • Market Cap – Smaller cap = higher potential upside
  • Date of Entry – Know exactly when the token was flagged
  • Live ROI Since Moonshot – See how it’s performed since it was listed

Want to see past winners? Just switch to “Past Moonshots” to view previous AI picks and how they performed over 7–14 days. Many tokens in this category have delivered 5x–20x returns in a matter of days.

✅ Step 4: Choose a Token to Explore

Click on any token from the list to open its Token Details Page.

Here, you can:

  • View a real-time price chart
  • Read a breakdown of fundamentals, including tokenomics, roadmap, and sector
  • See top holders (whales, insiders, or project wallets)
  • Review technical indicators, volume trends, and volatility

This deep-dive view gives you everything you need to make an informed decision—not just guesswork.

✅ Step 5: Buy in Seconds

Once you’ve done your due diligence:

  • Click the “Buy” button directly on the Moonshots page.
  • This opens a swap widget that connects to top DEXs.
  • Choose your wallet, confirm the swap, and you’re done—no need to leave the platform.

This seamless process saves time and allows you to act quickly in a fast-moving market.

Why Token Metrics Is the Best Tool for Moonshot Hunting

Finding 100x altcoins is about timing, data, and confidence. Token Metrics gives you all three:

🔍 Data-Backed Confidence

No more relying on anonymous influencers or Telegram groups. Token Metrics backs every moonshot with quantifiable metrics.

🧠 AI-Powered Predictions

The platform’s models constantly analyze price, volume, sentiment, and chain activity to spot anomalies and early breakouts.

📈 Transparent Track Record

You can review past Moonshots and their ROI—transparency that few platforms offer.

💡 Trade-Ready UI

With integrated swap functionality, you can go from discovery to execution in under a minute.

Final Thoughts

Finding the next 100x altcoin is never easy—but with the right tools, your odds improve dramatically.

Moonshots are real, and they happen frequently in crypto. But they’re only lucrative if you find them early, analyze them rationally, and manage your risk.

With Token Metrics, you don’t have to chase hype—you can rely on real-time analytics, AI-powered ratings, and actionable insights to guide your moonshot hunting.

If you're serious about catching the next 100x gem, start using Token Metrics today.

🚀 Start your free trial and unlock the Moonshots tab at TokenMetrics.com

Research

Andrena and the Rise of DePIN: Decentralized Internet in 2025

Token Metrics Team
8 min
MIN

Introduction:
Decentralized Physical Infrastructure Networks (DePINs) are rapidly emerging as one of the most transformative sectors in the blockchain space. In 2025, projects like Andrena are pushing the boundaries of what’s possible by bridging real-world hardware with decentralized protocols. This blog takes a closer look at the DePIN thesis, Andrena’s approach, and why this project is on the radar of top investors and analysts.

What Is DePIN?

DePIN stands for Decentralized Physical Infrastructure Networks. It refers to blockchain-powered networks that coordinate real-world infrastructure using token-based incentives. Use cases include:

  • Wireless internet (e.g., Helium)
  • Sensor networks (e.g., WeatherXM)
  • Storage and compute (e.g., Filecoin, Akash, Arweave)
  • Energy grids (e.g., PowerPod)

In short, DePINs decentralize infrastructure deployment and management using blockchain-based coordination tools.

Why DePIN Matters in 2025

  1. Infrastructure Gaps: Billions remain unconnected to the internet or lack access to basic digital services. DePINs offer a way to close these gaps without reliance on centralized telecoms.
  2. Token Incentives for Network Participation: Hardware operators are rewarded for contributing bandwidth, compute, or coverage—creating a new economic model.
  3. Real-World Utility: Unlike speculative tokens, DePIN projects often provide visible, tangible value from day one.

Introducing Andrena: The Helium of the Internet?

Andrena is a DePIN project building a decentralized internet backbone through a combination of physical devices and blockchain protocols. The project is developing a hardware device called Black Box, expected to launch in July.

Key features:

  • Distributed, peer-to-peer wireless coverage
  • Web3 native incentives for node operators
  • No reliance on centralized ISPs
  • Tentative deployments in New York City, Mexico City, and Accra
  • Deep integration with Helium Network and its infrastructure

Andrena aims to give individuals and communities the power to run their own internet access points and be compensated in a decentralized system.

Why It’s Generating Buzz

Token Metrics researchers flagged Andrena as a top pick for long-term infrastructure exposure. Here's why:

  • Backed by Top VCs: In its upcoming Series B, Andrena is reportedly raising funds from major firms including Polychain Capital, Archetype, Wintermute, and Coinbase Ventures.
  • Mass Market Vision: The goal is not just to serve crypto-native users, but also everyday consumers who simply want affordable, decentralized internet access.
  • Multi-layered Integration: Andrena will offer both physical routers and a browser extension, enabling different levels of participation.

Strategic Partnerships and Rollout

The project is currently in soft-launch mode with localized pilots and is pursuing exchange listings later this year. While details remain limited, the focus is on building a global decentralized ISP layer—a radical shift from the existing internet access model.

Why Andrena Could Succeed Where Others Struggled

Previous attempts at decentralized internet often failed due to:

  • Poor hardware UX
  • Limited adoption outside of crypto users
  • Unclear monetization models

Andrena appears to be addressing these pain points with:

  • Consumer-grade devices
  • Partner integrations (e.g., Helium)
  • Clear token utility tied to network usage and coverage
  • A well-capitalized, experienced founding team

Risks and Unknowns

As with all early-stage infrastructure projects, there are risks:

  • Uncertain regulatory frameworks around ISPs
  • Capital intensity of hardware production and distribution
  • Network growth dependent on physical deployment
  • Limited token utility details at this stage

Investors and builders should stay informed as more information becomes public.

How Token Metrics Is Tracking DePIN Growth

The Token Metrics platform is actively monitoring the DePIN space through metrics such as:

  • TVL (Total Value Locked) in related ecosystems
  • Developer activity and GitHub velocity
  • On-chain signal strength and token accumulation
  • Fundamental and technical ratings

Projects like Andrena and its ecosystem partners are closely watched for early indicators of momentum.

Final Thoughts

DePIN is one of the most compelling frontiers in crypto. It offers real-world, real-time applications that go far beyond speculation. Andrena is at the center of this movement, blending telecom hardware, Web3 incentives, and global deployment.

While it's still early, the signs are promising. From reputable backers to ambitious global plans, Andrena is a project worth watching in 2025 and beyond.

Research

Meme Coins in 2025: Why They’re Still Outperforming the Crypto Market

Token Metrics Team
8 min
MIN

Introduction:
Even in a sluggish crypto market, meme coins continue to outperform many other asset classes. In 2025, these highly speculative assets are not only surviving—some are thriving. This blog examines the current state of the meme coin market, what’s driving the activity, and how on-chain data and crypto analytics can help decode the chaos.

Meme Coins: Still Relevant in 2025?

Despite a broadly bearish macro environment, meme coins remain among the few bright spots in the crypto market. In the latest Token Metrics research webinar, several meme tokens showed outsized returns, including:

  • Gorbagana – up over 50% in a day
  • Useless Coin – jumped 40% in 24 hours
  • Startup Coin – nearly 9x returns over the past month

These tokens operate at low market caps and often launch with little or no formal whitepaper or utility. However, the power of narrative, social engagement, and rapid speculation continues to drive short-term gains.

Why Meme Coins Are Performing in a Bear Market

1. Low Liquidity, High Volatility:
Small-cap meme tokens can easily generate parabolic moves with modest capital inflows.

2. Community-Led Narratives:
Tokens like Useless Coin and Startup thrive on viral momentum from crypto-native communities, particularly on X (Twitter) and Telegram.

3. Whale Activity as a Signal:
Token Metrics analysts observed that whales have been accumulating select meme coins. This isn’t an endorsement—but it’s a data point. Monitoring on-chain whale behavior offers clues about where smart money is moving.

The Gobagana Case Study

Gobagana was cited as a high-risk Solana fork with minimal public information, yet it rapidly gained traction. On-chain analysis revealed:

  • Whale wallets accumulating in the early phase
  • Early VC insiders (e.g., those connected to Big Brain VC) engaging with the token
  • Rapid social engagement despite a small follower base

The takeaway? Even opaque meme coins can trigger major rallies—particularly if accumulation patterns align with social volume.

Risk Management and Red Flags

The meme coin market is not without risk. The Token Metrics team emphasized several cautions:

  • Illiquidity: Many meme tokens have low volume and limited exchange listings.
  • Exit scams or soft rugs: Teams can abandon the project after price pumps.
  • Price discovery volatility: Tokens may have no clear valuation baseline and can retrace sharply.

As such, these assets are often best approached with a high-risk tolerance and clear entry/exit rules.

How to Track Meme Coins Like a Quant

Using crypto analytics platforms like Token Metrics can help make sense of meme coin volatility. Tools that help include:

  • Real-time sentiment analysis
  • Whale wallet tracking
  • Price-to-volume anomaly detection
  • Bullish/bearish signal tracking

In 2025, data is more important than hype. While memes may dominate the narrative, only data reveals when the momentum shifts.

Meme Coins vs. Infrastructure Projects

Interestingly, while meme coins have been surging, many infrastructure or protocol tokens remain flat. This divergence suggests that retail attention is still focused on short-term speculation.

That said, once Bitcoin breaks key resistance levels, we could see capital rotate into AI, DeFi, and infrastructure themes. Meme coins may be the “canary in the coal mine” indicating renewed retail appetite.

Final Thoughts

Meme coins remain the wild west of crypto—but they aren’t going away. In fact, they’re becoming more sophisticated, with deeper liquidity pools, faster launches, and increased integration with social media bots and automated token creators.

As always, meme coin trading demands discipline, skepticism, and a robust toolkit. Watch the whales, follow the data, and never trade what you don’t understand.

Research

How to Find Hidden Crypto Gems with 100x Potential (Step-by-Step Guide) | Token Metrics Moonshots

Token Metrics Team
8 min
MIN

In the fast-paced world of cryptocurrency, discovering hidden gems—often called moonshots—can lead to life-changing returns. But the real challenge lies in separating hype from actual potential. In this guide, we’ll break down what crypto moonshots are, how they work, and how you can use Token Metrics to reliably find tokens with 100x upside.

What Are Moonshot Tokens?

The term moonshot comes from the idea of a crypto token “going to the moon,” or rapidly increasing in price. These are usually low-cap tokens with a compelling narrative, innovative technology, or early-stage market presence that give them high upside potential.

Key Characteristics of Moonshot Tokens:

  • Market Cap Below $50M – Smaller market caps have more room to grow.
  • High Risk / High Reward – Volatility is expected, but the upside can be enormous.
  • Early Entry – Timing matters. Getting in early before mainstream awareness is key.
  • Backed by Fundamentals – Even moonshots need solid technology, use cases, or backing.

How Do Crypto Moonshots Work?

Moonshots rely on the combination of innovation, market timing, and community adoption. They often start unnoticed, then experience exponential growth once crypto traders and influencers catch on.

The Lifecycle of a Typical Moonshot:

  1. Discovery Phase – A few savvy investors or analysts spot the token.
  2. Accumulation Phase – Early adopters buy in quietly, keeping prices low.
  3. Breakout Phase – News spreads, and trading volume spikes.
  4. Parabolic Run – FOMO (Fear of Missing Out) kicks in, driving price up rapidly.
  5. Profit-Taking or Collapse – Smart traders exit with gains; latecomers may be left holding the bag.

To avoid the trap of hype-driven tokens, it's essential to use data and analytics, not emotions. That’s where Token Metrics becomes your secret weapon.

How to Use Token Metrics to Find Monshots?

Token Metrics is an AI-powered crypto analytics platform that helps you discover high-potential tokens with real-time data, grades, and backtested indicators. Here’s a step-by-step guide to using Token Metrics to uncover 100x opportunities:

Step 1: Go to the Ratings Page

Start from the main dashboard of the Token Metrics app.

  • Navigate to the “Ratings” tab.
  • This page ranks thousands of tokens using AI-based Trader Grade and Investor Grade, factoring in technical indicators, on-chain metrics, sentiment, and more.

Pro Tip: Look for tokens with rising Trader Grades and strong historical performance.

Step 2: Click on the “Moonshots” Tab

Once you’re in the Ratings section:

  • Click the “Moonshots” tab at the top of the page.
  • This will filter the list down to tokens the AI model flags as having moonshot potential—i.e., tokens likely to perform exceptionally well in the short term.

These are automatically generated by Token Metrics AI models using over 80+ data points, including:

  • Price momentum
  • On-chain activity
  • Sentiment analysis
  • Volume spikes
  • Market structure

Step 3: Review Key Moonshot Metrics

Each Moonshot token is presented with a rich dataset to help you make informed decisions:

  • Trader Grade (with % change in past 24h or 7d)
  • 24H Trading Volume – Gauge market interest
  • Market Cap – Lower caps typically offer more upside
  • Date of Entry – See when the token was first flagged
  • Live ROI Since Moonshot – Know exactly how past picks performed

Bonus Feature: Toggle to “Past Moonshots” to review previous winners and assess the track record of the platform.

Step 4: Choose a Token to Explore

Click on any token in the Moonshots list to open its Token Details Page.

Here, you can:

  • Analyze real-time charts
  • Review fundamentals, like project utility, tokenomics, roadmap, and team
  • See top holders and whale activity
  • Examine price volatility and volume patterns

This is where research and intuition meet. Use the available data to decide if this token fits your risk tolerance and investment thesis.

Step 5: Buy in Seconds

Token Metrics makes the process seamless:

  • Just click the “Buy” button on the Moonshots page.
  • This opens a swap widget powered by integrated DEX aggregators.
  • Choose your wallet, approve the transaction, and you're done—no need to leave the platform.

This integration eliminates the hassle of going to third-party platforms to execute trades, saving time and reducing risk.

Why Use Token Metrics for Finding Moonshots?

Token Metrics isn’t just about flashy picks—it’s about using data science and AI to gain an edge.

Key Benefits:

  • AI-Driven Insights – No emotional bias; just pure data analysis.
  • Transparency – View past moonshot performance, live ROI, and update dates.
  • Speed to Trade – Instant buy options right from the dashboard.
  • Performance Tracking – Evaluate your results based on entry/exit signals.

Real Examples: Token Metrics in Action

  • Euler Finance was flagged as a Moonshot before its 30% rally—validated by a bullish AI signal.
  • Morpho gained traction after appearing in the Moonshots list, later becoming a top TVL gainer.
  • Hyperliquid made the list before capturing major perp trading market share.

By combining early AI alerts with your own due diligence, you can position yourself ahead of the crowd.

Final Thoughts

Finding the next 100x crypto gem doesn’t have to be a guessing game. While the crypto space remains volatile, tools like Token Metrics help stack the odds in your favor. From real-time ratings to instant buy options and performance metrics, you have everything you need to make smart, data-driven bets on the future of crypto.

So if you're serious about turning small investments into big wins, start using Token Metrics to uncover moonshots before they go mainstream.

Try Token Metrics today and unlock the power of AI-driven crypto investing.

Research

DeFi 3.0 and the Rise of Permissionless Lending – What's Changing in 2025?

Token Metrics Team
8 min
MIN

Introduction:
The DeFi landscape is evolving rapidly, and 2025 is shaping up to be a pivotal year. With innovations like permissionless lending, the ecosystem is transitioning into what many are calling DeFi 3.0. This blog explores what’s driving the shift, the platforms leading the charge, and what investors and developers need to know about this new wave.

What Is DeFi 3.0?

Decentralized finance (DeFi) has experienced two major innovation cycles:

  • DeFi 1.0 was defined by protocols like Uniswap, which revolutionized decentralized trading through automated market makers (AMMs).
  • DeFi 2.0 introduced concepts like protocol-owned liquidity, led by projects like OlympusDAO.

Now in DeFi 3.0, the focus has shifted to permissionless lending, advanced tokenomics, and integrated liquidity solutions.

The Core Drivers of DeFi 3.0

  1. Decentralization of Lending Access:
    Traditional DeFi lending platforms like AAVE require users to hold governance tokens or pass internal gatekeeping to create new markets. DeFi 3.0 protocols remove those barriers, allowing anyone to participate more freely.

  2. Integrated Liquidity and Lending:
    New platforms are enabling liquidity provision and borrowing from the same pool—merging the utility of DEXs with money markets.

  3. Improved Capital Efficiency:
    DeFi 3.0 focuses on optimizing the use of locked capital. Through smart contract automation, platforms allow users to earn on idle funds, reduce slippage, and optimize collateral.

Leading Platforms in the DeFi 3.0 Movement

1. Euler Finance
Euler has grown to over $1B in total value locked (TVL) and is rolling out a key innovation: EulerSwap. This module lets protocols provide liquidity for both swaps and borrowing in a single pool.
Key features:

  • Dual-purpose liquidity (swap + lending)
  • “Just-in-time” borrowing mechanisms
  • Smart contract automation for optimized usage

2. Morpho
Morpho is another high-growth player. With support from Coinbase and over $4B in TVL, it's becoming a serious challenger to AAVE. Its permissionless lending architecture and novel liquidity provisioning model stand out.

3. Hyperliquid
While not a lender per se, Hyperliquid’s approach to perpetuals (perps) trading is noteworthy. It has captured 11% of Binance’s perp market share, signaling DeFi’s growing ability to challenge centralized platforms.

Why Permissionless Lending Matters

The benefits of removing centralized control over lending markets include:

  • Faster innovation and product launches
  • Greater financial inclusion for emerging projects
  • Risk-based pricing by the market, not centralized governance
  • Enhanced decentralization and resilience

However, challenges remain. The risk of undercollateralized positions and protocol exploits still exist. That’s why security—such as smart contract audits and on-chain firewalls—is critical.

The Role of Token Metrics in Tracking DeFi 3.0

During the webinar, the Token Metrics team highlighted how their platform tracks the performance of DeFi 3.0 projects using metrics like:

  • TVL growth rate
  • Trader grade and investor grade
  • Bullish or bearish signals based on 80+ data points

For example, Euler’s bullish signal flipped just before a 30% price rise, demonstrating the value of data-driven insight in volatile markets.

What's Next for DeFi?

As the cycle evolves, we expect:

  • A proliferation of permissionless lending protocols across L1s and L2s
  • Better capital efficiency tools
  • Greater interoperability across EVM chains and Solana
  • On-chain integrations with tokenized real-world assets

Final Thoughts

DeFi 3.0 is not just hype—it represents a fundamental shift in how decentralized finance operates. Permissionless lending, composable liquidity, and institutional-grade risk controls are turning DeFi into a more mature, scalable ecosystem.

As always, perform your own due diligence and keep an eye on platform fundamentals, smart contract risk, and ecosystem adoption.

Research

Top 5 AI Tokens in 2025: Revolutionizing Crypto with Artificial Intelligence

Token Metrics Team
8 min
MIN

Artificial intelligence has transformed every corner of the crypto industry—from trading and analytics to sentiment tracking and smart contract automation. In 2025, AI-powered crypto platforms have surged in popularity, delivering real-time insights, automation, and efficiency that were previously unimaginable.

In this article, we highlight the top 5 AI tokens in 2025: Token Metrics ($TMAI), Kaito AI ($KAITO), Cookie.fun ($COOKIE), Arkham Intelligence ($ARKM), and ChainGPT ($CGPT)—and show why Token Metrics stands out as the gold standard.

1. Token Metrics ($TMAI): The Smartest AI Trading Platform in Crypto

Token Metrics is leading the AI revolution in crypto investing. Known for its AI-powered analytics, signals, and portfolio tools, the platform is a go-to resource for retail and institutional traders alike.

Key Features:

  • AI Buy/Sell Signals: Trained on historical price, sentiment, and on-chain data, Token Metrics generates bullish and bearish calls across thousands of crypto assets.
  • Trader & Investor Grades: Each token receives real-time AI-based scores (0–100), offering a clear snapshot of short-term momentum and long-term strength.
  • AI Chatbot: A conversational interface that lets users ask natural-language queries about market trends, token grades, and price forecasts.
  • Trading Bot: Users can automate execution based on Token Metrics’ signals, either on centralized exchanges or via self-custody strategies.
  • MCP Server Integration: Connects with ChatGPT, Claude, Cursor IDE, and more—enabling developers and analysts to pull Token Metrics data across multiple tools.

$TMAI Token Utility:

  • Unlock premium analytics and signal tiers
  • Staking rewards and fee discounts
  • Governance and roadmap input
  • Developer API access and automation credits

Why $TMAI Is the Best AI Crypto Token:

Unlike other platforms focused on niche utilities, Token Metrics delivers a full-stack AI solution. Its analytics engine is transparent, quantifiable, and tested—used by hedge funds, crypto pros, and AI researchers. The $TMAI token ties everything together with utility, access, and community incentives. In a market full of hype, Token Metrics offers data-driven, AI-validated decisions—a must-have edge for serious traders.

2. Kaito AI ($KAITO): Web3’s Information Aggregator

Kaito AI is a specialized platform tackling one of crypto’s biggest problems: information overload. It uses a custom Large Language Model (LLM) to aggregate and analyze content from X (Twitter), news sites, blogs, and community forums.

Core Features:

  • Mindshare Tracking: Monitors which tokens dominate conversation and sentiment across platforms
  • Sentiment Analysis: Real-time mood scores derived from influencers, headlines, and user engagement
  • Yaps Program: Users earn points for sharing useful content, which may convert into $KAITO tokens

$KAITO Token Utility:

  • Platform access and insights
  • Governance voting
  • Community curation rewards

Strengths:

  • Early identification of narrative shifts
  • Deep focus on information flow and crowd psychology

Limitations:

While Kaito is excellent at detecting narrative momentum, it lacks predictive analytics or execution tools, making it more of a research layer than an active trading solution. Still, it’s an important piece for sentiment-aware investors.

3. Cookie.fun ($COOKIE): Gamified Trading Meets AI

Cookie.fun is a Gen-Z-targeted platform that fuses AI-powered trading insights with gamified investing experiences.

Notable Features:

  • Telegram AI Assistant: Provides user-specific trading signals and alerts
  • Gamified Leaderboards: Trade to climb ranks and win $COOKIE tokens
  • Social Trading Features: Users can mimic top traders or form groups to pool strategies

$COOKIE Token Utility:

  • In-app rewards and incentives
  • Staking for power-ups
  • Marketplace for NFT avatars and in-game tools

Who It’s For:

Cookie.fun’s lighthearted UX and AI-enhanced suggestions appeal to newer, casual investors. It doesn’t match Token Metrics’ analytical depth but makes crypto accessible and fun—an important factor for onboarding the next wave of retail users.

4. Arkham Intelligence ($ARKM): AI for On-Chain Forensics

Arkham Intelligence offers one of the most advanced AI-powered blockchain intelligence platforms, designed to uncover hidden relationships and wallet identities.

Core Capabilities:

  • ULTRA AI Engine: Links pseudonymous wallets to real-world identities
  • Intel Exchange: A decentralized data marketplace for buying/selling wallet intelligence
  • Dashboards & Alerts: Monitor whale wallets, smart money flows, and suspicious activity

$ARKM Token Utility:

  • Access to the Intel Exchange
  • Bounty rewards
  • Platform governance

Ideal Use Cases:

  • Whales tracking and forensic analysis
  • Scam detection and compliance reporting
  • Portfolio flow transparency

Trade-Offs:

Arkham is laser-focused on on-chain visibility, not market timing or trade execution. For users who want to know who’s moving money—and why—Arkham is unmatched. But it doesn’t replace a complete AI trading platform like Token Metrics.

5. ChainGPT ($CGPT): AI Tools for Smart Contract Automation

ChainGPT offers a suite of AI-powered tools for developers, traders, and researchers in the crypto space.

Highlight Features:

  • AI Chat Assistant: Similar to ChatGPT but trained on blockchain topics
  • Smart Contract Generator: Auto-generates and audits Solidity code
  • Trading Assistant: Analyzes charts and on-chain data to produce trade suggestions
  • News Aggregator: AI-summarized crypto headlines

$CGPT Token Utility:

  • Access to tools and premium models
  • Developer credits
  • Ecosystem governance

Audience:

ChainGPT is ideal for technical users, developers, and power traders looking for coding help, risk management support, and project analysis. While useful, its trading tools aren’t as focused or optimized for performance as Token Metrics’ core offerings.

Why Token Metrics Dominates the AI Crypto Landscape

Token Metrics combines AI-grade analytics, execution, automation, and alerts, all under one unified system. It supports custom index building, signals, dashboards, rebalancing agents, and integrations with every major AI tool in the developer ecosystem.

🏁 Final Thoughts

The AI crypto boom is well underway in 2025. Each of the platforms covered—Kaito AI, Cookie.fun, Arkham, ChainGPT—offers specialized tools and insights. But for investors and traders seeking a complete, AI-first trading stack, Token Metrics ($TMAI) is the undisputed leader.

Whether you're a seasoned investor or a crypto newcomer, $TMAI gives you the intelligence, precision, and automation needed to thrive in today’s volatile markets.

Research

Top 5 Crypto Trading Platforms in the UK in 2025 – AI Tools for Crypto Traders

Token Metrics Team
8 min
MIN

In 2025, the UK’s cryptocurrency market continues to grow as retail investors, institutions, and tech-savvy traders turn to digital assets as a way to build wealth and diversify their portfolios. With more platforms than ever offering crypto access, the challenge is no longer just buying Bitcoin—it’s choosing the best crypto trading platform to help you make intelligent decisions.

This guide highlights the top 5 crypto trading platforms in the UK in 2025, with a special focus on the emergence of AI crypto trading tools that are transforming the way smart investors trade. At the top of our list is Token Metrics, a platform that’s redefining crypto trading through artificial intelligence and cutting-edge analytics.

What Makes a Great Crypto Trading Platform?

Before diving into the list, let’s clarify what qualifies a platform as one of the best in 2025. A top-tier crypto trading platform should:

  • Be compliant with UK financial regulations
  • Offer intuitive tools for trading, research, and portfolio management
  • Include advanced features such as charting, automated insights, or AI analytics
  • Provide real-time data, alerts, and security
  • Empower both beginners and professional traders

Now let’s explore the platforms setting the standard in the UK’s crypto landscape.

1. Token Metrics – The Best AI Crypto Trading Platform in the UK (2025)

Website: www.tokenmetrics.com

Token Metrics is not a centralized exchange, but it’s hands-down the best crypto trading platform in the UK for traders who want to level up their strategy with AI, data, and deep insights. It helps you decide what to trade, when to trade, and why—before the rest of the market catches up.

🔍 Why It’s #1:

  • AI-Powered Ratings: Each token is evaluated using machine learning models across multiple dimensions—technical indicators, fundamentals, sentiment, and on-chain data.
  • Bullish & Bearish Alerts: Real-time AI signals notify you of trending opportunities before prices explode or dump.
  • Smart Indices & Portfolios: Build or follow crypto index strategies based on sector (AI, DeFi, Gaming), risk tolerance, or momentum.
  • Moonshot Reports: Weekly research uncovering low-cap gems with 10x–100x potential.
  • Custom Alerts: Get notifications on token movements, volume spikes, social mentions, and AI rating changes.

✅ Best For:

  • UK crypto traders who want to trade smarter, not harder
  • Investors looking to combine on-chain data, AI signals, and narrative trends
  • Institutions or power users seeking actionable research

Bonus:

Token Metrics integrates with most top UK exchanges, allowing you to use its insights and then place your trades on Coinbase, Binance, Kraken, or others.

2. Coinbase UK – Beginner-Friendly and FCA-Compliant

Coinbase is one of the most recognized crypto platforms globally and remains a popular option in the UK due to its FCA registration, simple interface, and strong security practices.

🔍 Key Features:

  • Supports GBP deposits and withdrawals via bank transfers
  • Easy onboarding process for first-time users
  • Insurance-backed custody
  • Advanced charting available via Coinbase Advanced Trade

✅ Best For:

  • Beginners and casual investors
  • Users looking for a trusted, regulated brand

While it lacks advanced AI crypto trading tools, Coinbase can be easily paired with Token Metrics to enhance your trading decisions.

3. Kraken – Advanced Trading with Institutional-Grade Tools

Kraken is well-known for its security, reliability, and robust trading tools. It’s a favorite among professional traders in the UK who require advanced options like futures and margin trading.

🔍 Key Features:

  • Deep liquidity across many trading pairs
  • Futures, options, margin trading, and staking
  • Strong security reputation
  • Free educational materials and market analysis

✅ Best For:

  • Intermediate to professional traders
  • Users who want advanced order types and charting tools

Kraken users can enhance their strategies by combining the exchange with Token Metrics’ AI trading indicators and portfolio grading tools.

4. eToro UK – Social and Copy Trading Made Easy

eToro is a multi-asset platform with a strong UK presence. It allows users to trade crypto, stocks, commodities, and ETFs—all in one place. Its social trading model sets it apart.

🔍 Key Features:

  • Copy Trading: Follow successful traders and replicate their trades
  • FCA-regulated in the UK
  • Crypto wallet included
  • Simple, mobile-first interface

✅ Best For:

  • Beginners who prefer passive strategies
  • Investors looking to diversify beyond crypto

While not known for deep analytics or on-chain insights, eToro pairs well with Token Metrics’ AI crypto trading research for smarter trade discovery and risk management.

5. Binance UK – Advanced Trading, Low Fees, Massive Token Selection

Despite regulatory scrutiny in prior years, Binance UK has adapted to meet local compliance standards and continues to be a dominant force in the trading ecosystem. It offers the widest variety of crypto pairs with the lowest fees among major exchanges.

🔍 Key Features:

  • GBP support with fast bank transfers
  • Deep liquidity and tight spreads
  • Futures, margin, and spot trading
  • Earn tools for staking, lending, and liquidity farming

✅ Best For:

  • Active traders
  • Altcoin hunters
  • Yield-seeking investors

Binance users can plug their trading into Token Metrics’ AI-powered coin ratings and signals to make data-backed decisions on entry and exit points.

Why Token Metrics + Your Favorite Exchange = Smart Trading

Each of the above platforms allows UK users to trade crypto, but none of them combine artificial intelligence, deep analytics, and actionable signals like Token Metrics does.

Pairing Token Metrics with your favorite UK exchange gives you the ultimate edge:

  • Discover moonshots before they trend
  • Use AI grades to filter coins based on fundamentals and momentum
  • Track social sentiment and on-chain spikes in real time
  • Set up custom alerts for your portfolio

Final Thoughts: Trade Smarter in the UK with AI in 2025

The UK crypto market is one of the most regulated and promising globally, with platforms like Coinbase, Kraken, and Binance making access seamless. But in 2025, it’s no longer enough to just buy and hold—you need smart tools, AI insights, and real-time data to stay competitive.

That’s why Token Metrics is the best crypto trading platform in the UK for traders who want an edge. Whether you're building a long-term portfolio or swing trading altcoins, the combination of AI, predictive analytics, and narrative tracking makes Token Metrics an indispensable part of any smart trader’s stack.

✅ Ready to level up your crypto trading?

Start your AI crypto trading journey today at www.tokenmetrics.com

Research

Top 10 Crypto Exchanges in the UK in 2025 | Best Crypto Trading Platforms

Token Metrics Team
8 min
MIN

Cryptocurrency adoption in the UK is booming. From retail investors to hedge funds, crypto is no longer just an experiment—it’s part of a diversified financial portfolio. But in this rapidly evolving space, smart traders know that picking the right tools and platforms is the key to staying ahead.

Before we explore the best crypto trading exchanges in the UK, let’s look at the most important development in the crypto world—AI crypto trading. And there’s one platform leading that revolution: Token Metrics.

Token Metrics – The AI Crypto Trading Platform Changing the Game

While Token Metrics is not a cryptocurrency exchange, it has emerged as the best crypto trading platform in 2025 for UK investors and traders who want to trade smarter—not harder.

Token Metrics empowers users with AI-driven insights, predictive analytics, and cutting-edge data tools to identify the best crypto opportunities—before the rest of the market catches on.

🔍 Why Token Metrics Stands Out:

  • AI-Powered Ratings: Each token is scored by proprietary machine learning models across technical, fundamental, and sentiment metrics.
  • Bullish/Bearish Signal Alerts: AI alerts when a token shows early signs of momentum or reversal—perfect for timing entries and exits.
  • Moonshot Reports: Exclusive weekly research highlighting potential 10x–100x altcoins, vetted by AI and analysts.
  • Indices & Portfolios: Build thematic or risk-adjusted portfolios using automated AI indices for DeFi, AI, L2s, and more.
  • On-Chain + Social Metrics: Discover low-cap gems by tracking whale wallet activity, social buzz, DEX listings, and more.

💡 Bottom Line: Token Metrics doesn’t execute trades—but it helps you decide what to trade, when to trade, and why. Use it alongside any UK-compliant exchange for maximum edge in your trading strategy.

Understanding Crypto Before You Trade

What Are Cryptocurrencies?

Cryptocurrencies are digital assets built on blockchain technology. They use encryption to secure transactions, verify ownership, and eliminate the need for banks or central authorities. Examples include:

  • Bitcoin (BTC) – The original store of value
  • Ethereum (ETH) – Smart contracts and dApps
  • Solana (SOL), Polygon (MATIC) – High-speed chains
  • Meme coins, AI tokens, DeFi tokens – Specialized thematic plays

What Types of Crypto Trading Are There?

1. Spot Trading

Buying/selling crypto directly at current market prices. Simple and most widely used.

2. Margin Trading

Borrowing funds to trade larger amounts. Higher risk, higher reward.

3. Futures & Derivatives

Trading contracts that speculate on price movement without owning the asset.

4. Copy Trading

Follow and replicate the trades of pro traders or algorithms.

5. AI Crypto Trading

Using platforms like Token Metrics to leverage predictive AI models for smarter decisions.

Types of Crypto Trading Platforms

🏦 Centralized Exchanges (CEX)

Platforms like Coinbase, Binance, and Kraken that offer easy fiat access, trading dashboards, and custody.

🔄 Decentralized Exchanges (DEX)

Platforms like Uniswap, where you retain custody of assets and trade peer-to-peer.

🧠 Research-Driven Platforms (like Token Metrics)

Offer AI tools, analytics, and predictive insights—but don’t hold funds or execute trades directly.

Top 10 Crypto Exchanges in the UK in 2025

1. Binance UK

Still the largest exchange by volume, Binance offers UK users an FCA-compliant experience, GBP on-ramps, and access to a wide range of tokens.

Best For: Altcoin traders, low fees
Highlight: Advanced charts, staking, futures, and Launchpad access

2. Coinbase UK

One of the most beginner-friendly platforms, Coinbase remains popular in the UK for its ease of use and trusted reputation.

Best For: Beginners, long-term investors
Highlight: Clean mobile app, FCA-regulated, secure cold storage

3. Kraken

Trusted globally, Kraken offers advanced tools for pro traders, plus staking and futures. Fully operational in the UK.

Best For: Intermediate to advanced traders
Highlight: Strong security and deep liquidity

4. Bitstamp

A European favorite with strong UK adoption, Bitstamp delivers a solid spot trading experience with a clean interface and high compliance standards.

Best For: Conservative investors, fiat pairs
Highlight: Transparent fee structure and institutional API access

5. Gemini

Founded by the Winklevoss twins, Gemini UK is known for its high security standards and regulatory compliance. It supports GBP deposits and insurance-backed wallets.

Best For: Safety-first traders
Highlight: Secure vaults, mobile-first UX

6. eToro

eToro mixes crypto with stocks, commodities, and social trading. It’s regulated in the UK and offers a unique copy trading feature.

Best For: Passive investors, social traders
Highlight: Copy top crypto traders and track performance

7. OKX

With a growing UK presence, OKX is gaining favor for its low fees, wide token selection, and powerful trading suite.

Best For: Futures, DeFi integrations
Highlight: Dual-mode trading—CEX and DEX options

8. Bitget

Bitget is quickly becoming a go-to platform for futures trading and copy trading. It has expanded its services to be compliant with UK standards.

Best For: Derivatives and social trading
Highlight: Intuitive futures interface, low latency execution

9. Luno

Luno is a beginner-friendly cryptocurrency exchange operating under FCA registration in the UK. It supports GBP deposits and offers a smooth mobile app experience ideal for new users looking to buy their first Bitcoin or Ethereum.

✅ Best For: First-time crypto investors
⚡ Highlight: Easy interface, auto-buy options, strong regulatory posture in the UK

10. Zumo

A UK-born platform, Zumo focuses on sustainability, regulatory compliance, and mobile-first investing. It allows GBP deposits and offers a simple experience for UK users.

Best For: Beginners and green investors
Highlight: Carbon-neutral platform and local support

Which Exchange Should You Choose?

  • For Beginners: Coinbase, Zumo, Gemini
  • For Altcoin Access: Binance, OKX
  • For Futures: Bitget, Kraken
  • For Social Trading: eToro
  • For Eco-conscious Trading: Zumo
  • For Institutional Tools: Bitstamp, Kraken
  • And for Smart Research: Combine any of the above with Token Metrics

FAQs

Q: Can I use Token Metrics with my exchange?
Absolutely. Token Metrics helps you analyze what to trade. You can execute on any exchange listed above.

Q: Is crypto trading legal in the UK?
Yes, as long as it’s done through FCA-compliant platforms. Tax laws apply.

Q: What fees should I expect?
Centralized exchanges charge trading fees (0.1%–0.5%) and possibly withdrawal or conversion fees.

Q: Is AI crypto trading reliable?
Yes, when paired with due diligence. Token Metrics uses AI to provide data-driven insights, not financial advice.

Conclusion

The UK crypto trading scene in 2025 is more mature, regulated, and accessible than ever before. Choosing the best crypto trading exchanges is only part of the equation. To truly succeed in this fast-moving market, you need tools that help you trade smarter.

That’s where AI crypto trading platforms like Token Metrics come in. Combine a regulated exchange with AI-powered analysis, and you’ll give yourself the edge every trader dreams of.

Start trading smarter today.

👉 Explore Token Metrics – The future of crypto investing, powered by AI

Crypto Basics

Are There Crypto Indices for DeFi, AI, and Other Sectors? Exploring Thematic Index Investing in 2025

Token Metrics Team
8 min
MIN

In the fast-moving world of crypto, one of the smartest ways to invest in 2025 is by aligning your portfolio with emerging narratives. Whether it’s DeFi, AI, Memecoins, or Real World Assets (RWAs), crypto’s growth is fueled by themes—and the easiest way to capitalize on them is through sector-based crypto indices.

But are there crypto indices tailored to specific sectors?
Absolutely. In fact, thematic crypto indices are one of the hottest trends in index-based investing right now.

This article explores the most popular sector-based crypto indices in 2025, how they work, and how you can use them to build a diversified, trend-aligned portfolio.

What Is a Thematic or Sector-Based Crypto Index?

A sector-based crypto index is a basket of cryptocurrencies selected based on a specific theme or market narrative. Instead of tracking the overall market, these indices focus on high-growth areas such as:

  • Decentralized Finance (DeFi)
  • Artificial Intelligence (AI) Tokens
  • Memecoins
  • Real World Assets (RWA)
  • Layer 1 Blockchains
  • Gaming / Metaverse

Each index includes multiple tokens within that category, allowing investors to gain exposure to the entire theme without picking individual winners.

Why Sector Indices Matter in 2025

In today’s market, performance is narrative-driven. A single meme can send a coin flying, or a regulatory shift can pump RWAs. Sector indices help investors:

Capitalize on trends early
Avoid single-token risk
Ride sector momentum without constant research
Balance exposure across tokens within a theme

Instead of trying to guess which AI token will win, you can hold the AI Index and benefit from the entire trend.

Top Sector-Based Crypto Indices in 2025

Here are the most popular and best-performing thematic indices this year:

1. Token Metrics AI Tokens Index

Focus: Artificial Intelligence & Agent Economy
Constituents: FET, AGIX, GRT, TAO, NUM, OCEAN
Management: AI-powered with weekly rebalancing

Why It’s Hot:
AI is dominating tech and crypto alike. This index tracks high-conviction AI tokens and rotates into bullish ones each week. Its performance outpaced most passive indices during Q1 2025.

2. Token Metrics DeFi Index

Focus: Core DeFi protocols
Constituents: AAVE, LDO, UNI, RUNE, DYDX, GMX
Management: AI-managed, rebalanced weekly

Why It’s Hot:
DeFi is crypto’s infrastructure. This index rotates into projects showing strength in TVL, volume, and sentiment—giving you DeFi exposure without the need to manage protocol risk manually.

3. Token Metrics Memecoin Index

Focus: Viral meme tokens
Constituents: DOGE, SHIB, PEPE, WIF, BONK, FLOKI
Management: AI-powered signals and weekly adjustments

Why It’s Hot:
This index tracks social momentum and market sentiment, allowing traders to ride the waves while mitigating downside through AI-powered exits.

4. Token Metrics RWA Index

Focus: Real World Asset tokens
Constituents: MKR, ONDO, POLYX, XDC, CFG
Management: Thematic + risk-adjusted AI overlay

Why It’s Hot:
The RWA narrative is exploding as institutions tokenize bonds, treasuries, and assets. This index includes top-performing RWA projects with liquidity and regulatory traction.

5. Token Metrics Layer 1 Index

Focus: Smart contract platforms
Constituents: ETH, SOL, AVAX, NEAR, SUI, TON
Management: Passive or AI-optimized version

Why It’s Hot:
The infrastructure battle among Layer 1s continues. This index provides broad exposure to the platforms that power most of Web3.

6. Index Coop DPI (DeFi Pulse Index)

Focus: Leading Ethereum DeFi protocols
Constituents: AAVE, UNI, COMP, SNX, LRC
Management: DAO-governed, passive rebalance

Why It’s Hot:
DPI is the OG DeFi index—trusted, decentralized, and consistently rebalanced on-chain.

7. Phuture Custom Indices

Focus: User-created strategies
Constituents: Fully customizable
Management: On-chain rules, community-driven

Why It’s Hot:
Create your own sector index or invest in curated strategies. Fully composable within DeFi.

How to Choose the Right Sector Index

Choosing the best sector-based index depends on your goals and your belief in specific narratives.

AI vs. Passive Sector Indices

Many sector indices today are AI-powered, meaning they adjust weights and tokens dynamically based on real-time data. This is especially useful in volatile or hype-driven narratives (like Memecoins or AI tokens).

Where to Invest in Sector-Based Indices

Here’s where to find and invest in thematic indices:

  • Token Metrics – Sector-specific AI indices with weekly signals
  • Index Coop – Ethereum-based DeFi indices with DAO governance
  • Phuture – On-chain, user-customized index strategies
  • Set Protocol – Technical and trend-driven portfolios
  • Centralized Brokers – Limited thematic access (e.g., Bitwise)

You can access these using fiat, stablecoins, or crypto wallets depending on the platform.

Final Thoughts: Sector Indices Help You Invest in What Matters

In 2025, the biggest opportunities in crypto are often found in narrative-driven sectors. Whether it’s AI, DeFi, Memecoins, or tokenized real-world assets, sector-based crypto indices offer:

  • Smart diversification
  • Aligned exposure to growing trends
  • Hands-free portfolio management
  • Reduced risk of picking the wrong token

For the best results, explore platforms like Token Metrics, where AI-enhanced sector indices help you adapt to the market and capitalize on breakout themes with data-backed precision.

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