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What Are Smart Contracts? A Comprehensive Guide

Discover the basics of smart contracts and how they transform transactions. Learn their benefits and use cases. Read the article for simple insights.
Talha Ahmad
5 min
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The digital revolution has fundamentally transformed the way we conduct business, manage agreements, and execute transactions. Active blockchain solutions are driving efficiency, security, and transparency across industries such as retail, supply chain, and healthcare. At the forefront of this transformation are smart contracts—revolutionary digital agreements that are reshaping industries ranging from finance and real estate to healthcare and supply chain management.

Blockchain-based smart contracts provide significant benefits to businesses by automating agreements, increasing transparency, and reducing costs. As we progress through 2025, understanding what are smart contracts and how they function has become essential for anyone looking to participate in the blockchain ecosystem or leverage the power of decentralized applications, especially to benefit from increased efficiency and security for businesses and organizations.

Understanding Smart Contracts: The Foundation

Smart contracts are digital contracts stored on a blockchain that are automatically executed when predetermined terms and conditions are met. Essentially, a smart contract is a self-executing agreement encoded as a computer program on a blockchain network, coded to be executed automatically. These contracts automate the execution of an agreement so that all parties involved can be immediately certain of the outcome without the need for intermediaries or delays.

At their core, smart contracts are a self executing program that transforms traditional contract terms into code deployed onto a blockchain, operating without the need for an intermediary or the traditional legal system. Once the required conditions are fulfilled, the smart contract automatically triggers the execution of the contract’s terms, ensuring transparency, efficiency, and security. Unlike traditional contracts that rely on lawyers or banks to enforce terms, smart contracts are self-enforcing and self-verifying, operating on a distributed ledger that guarantees the contract cannot be changed once deployed.

For example, a smart contract on the Ethereum platform is a collection of code (functions) and data (state) residing at a specific address on the Ethereum blockchain. It acts like a computer program with its own balance and the ability to receive and send transactions, but it operates independently once deployed. Smart contracts can facilitate agreements between anonymous parties, ensuring privacy and decentralization. This automation eliminates the need for human intervention and reduces the risk of human error or fraud.

The Evolution and History of Smart Contracts

The idea of smart contracts actually predates blockchain technology. The concept was originally proposed in the 1990s by Nick Szabo, a cryptographer who described smart contracts as “a set of promises, specified in digital form, including protocols within which the parties perform on these promises.” Szabo famously compared smart contracts to vending machines, where the right inputs guarantee a specific output automatically.

It is important to note the distinction between a smart contract and a smart legal contract. A smart legal contract combines the automation of blockchain-based smart contracts with legal enforceability, ensuring compliance with jurisdictional laws and providing legal guarantees that can be upheld in court.

While Bitcoin’s launch in 2009 made smart contracts technically feasible by introducing blockchain technology, it was Ethereum’s introduction in 2015 that truly elevated smart contracts as a foundational element of decentralized applications. Ethereum’s Turing-complete programming language, Solidity, allowed developers to write complex contracts that could handle a wide range of automated functions.

According to the US National Institute of Standards and Technology, a smart contract is “a collection of code and data (sometimes referred to as functions and state) that is deployed using cryptographically signed transactions on the blockchain network.” This definition emphasizes that smart contracts are computer programs that use blockchain technology to handle transactions securely and transparently, with digital signatures used to authenticate parties and secure the execution of these contracts.

How Smart Contracts Work

Smart contracts work by following simple “if/when…then…” statements written into code on a blockchain. The process is straightforward yet powerful:

When a predetermined condition is met and verified by the network, the contract executes the agreed-upon action. Each transaction includes the smart contract code and relevant data, and is verified by the network to ensure authenticity and compliance with the contract's terms.

Smart contracts can also automatically trigger the next action in a workflow once the specified conditions are fulfilled, streamlining processes and reducing the need for intermediaries.

Writing and Deployment

The first step involves writing the contract terms into a programming language designed for blockchain, such as Solidity for Ethereum. Developers encode the agreement’s rules and conditions into a series of instructions, specifying what actions should occur when certain conditions are met.

Once the smart contract code is complete, it is deployed to the blockchain network through a cryptographically signed transaction. After deployment, the contract becomes immutable—meaning it cannot be changed—ensuring trust and transparency for all parties involved. Each deployment creates a single record on the blockchain ledger, ensuring the integrity and traceability of the contract.

Automatic Execution

When the predetermined conditions are fulfilled, the smart contract automatically executes the specified actions. For example, in a rental agreement, the contract might automatically transfer funds to the landlord’s wallet once the tenant’s payment is received. Smart contracts can also manage and transfer digital assets automatically when the agreed conditions are met.

The execution is validated by nodes connected to the blockchain network, such as the Ethereum Virtual Machine (EVM) on Ethereum. These nodes verify the transaction and update the blockchain ledger with encrypted records of the completed transaction. Because the transaction record cannot be changed, it guarantees security and prevents fraud.

Key Characteristics of Smart Contracts

Smart contracts possess several defining characteristics that set them apart from traditional agreements: They offer transparency, as all actions and terms are visible to involved stakeholders. Blockchain based smart contracts allow multiple parties to access and verify the contract terms, ensuring trust and accountability throughout the process.

Distributed and Transparent

Smart contracts are stored on a public distributed ledger, known as a blockchain, which ensures that all participants have access to the contract’s code and terms. This transparency means that no single party can alter the contract without consensus from the network. For example, smart contracts are used for increasing supply chain transparency by tracking pharmaceuticals, ensuring data reliability and safety throughout the transport process.

Trustless and Self-Executing

Smart contracts do not require trusted intermediaries to verify or enforce the agreement, ensuring that every party involved can trust the contract's execution without external enforcement. Their automated possibilities allow them to self-verify conditions and self-enforce execution when the contract’s rules are met.

Deterministic and Immutable

Smart contracts only perform the functions they were programmed to do and only when the required conditions are fulfilled. Once deployed, the contract’s code and transaction history cannot be altered, providing a tamper-proof record.

Speed and Efficiency

By automating contract execution, smart contracts significantly reduce the time and paperwork involved in traditional agreements. The entire chain of actions is executed immediately and automatically, minimizing delays caused by human intervention, and also saving money by eliminating unnecessary steps.

Real-World Applications and Use Cases

Smart contracts are revolutionizing various industries by automating processes and eliminating intermediaries. They are increasingly used to streamline international trade by automating cross-border transactions, improving efficiency and transparency in global business.

Financial Services and DeFi

In finance, smart contracts streamline trade finance by automating payments, verifying documents, and tracking shipments. Decentralized finance (DeFi) platforms leverage smart contracts to enable lending, borrowing, and trading without middlemen, increasing transparency and security.

Real Estate and Property Management

Smart contracts automate property transactions by releasing funds upon payment confirmation, reducing the need for escrow agents. Lease agreements and payments are managed automatically, ensuring timely execution and minimizing disputes.

Supply Chain and Healthcare

In supply chains, smart contracts increase transparency by tracking raw materials and products through every stage, automatically verifying trade documents and resolving disputes. In healthcare, they secure patient data while allowing authorized providers to share information seamlessly.

Insurance and Legal Applications

Smart legal contracts offer greater openness than traditional contracts by being stored on immutable blockchains. They can automatically execute payments or obligations once specific conditions, such as a date or event, are met.

Navigating Smart Contract Ecosystems with Advanced Analytics

As the smart contract landscape grows increasingly complex, sophisticated analytics tools have become indispensable. Token Metrics is a leading AI-powered platform that provides comprehensive insights into blockchain projects and smart contract platforms.

AI-Driven Smart Contract Analysis

Token Metrics evaluates over 6,000 tokens daily, scoring each based on technical analysis, on-chain data, fundamental metrics, and social sentiment. This helps investors identify promising smart contract platforms and tokens built on them.

Advanced Market Intelligence

The Token Metrics API offers real-time price and volume data, AI-based token ratings, and sentiment analysis, making it a valuable resource for developers and analysts working with smart contracts.

Comprehensive Platform Features

Token Metrics provides AI-driven analytics, moonshot altcoin discovery, real-time signals, and tools for both long-term investing and short-term trading. Developer tools integrate with platforms like ChatGPT and Cursor IDE, enabling data-driven smart contract development and analysis.

Smart Contract Platforms and Technologies

Ethereum and EVM-Compatible Chains

Ethereum remains the dominant platform for smart contract development, using the Solidity programming language and the Ethereum Virtual Machine (EVM). Despite security challenges, it hosts the majority of active smart contracts.

Emerging Competitors

Platforms like Solana, which uses the Solana Virtual Machine (SVM) and Rust programming language, and newer blockchains adopting Move (such as Sui and Aptos), offer improved performance and lower transaction costs.

Cross-Chain Solutions

Smart contracts typically operate within a single blockchain network. To interact across networks or access off-chain data, oracles and external computation systems provide necessary verification and data feeds.

Security Considerations and Best Practices

Common Vulnerabilities

Smart contracts face significant security risks, with millions lost annually due to bugs and exploits. Common vulnerabilities include reentrancy attacks, unreliable random number generation, and arithmetic errors.

Development and Testing Tools

Tools like Truffle and Foundry help developers write and test smart contracts thoroughly before deployment. Security analysis platforms such as CRYPTO-SCOUT automatically identify potential vulnerabilities.

Security Analysis and Auditing

Given the high value of cryptocurrency tokens managed by smart contracts, thorough auditing and continuous monitoring are essential to prevent fraud and ensure contract integrity.

The Future of Smart Contracts

Technological Advancement

Smart contracts continue to evolve, improving scalability, interoperability, and security. They are increasingly integrated into industries such as finance, supply chain, healthcare, and real estate, automating transactions with precision and transparency.

Regulatory Landscape

Several US states, including Arizona, Iowa, Nevada, Tennessee, and Wyoming, have passed legislation recognizing smart contracts. The Law Commission of England and Wales has also acknowledged smart legal contracts under existing law frameworks.

Integration with AI and Automation

The convergence of artificial intelligence with smart contracts is enabling more complex automated decision-making and reducing human intervention, opening new possibilities for business and technology.

Getting Started with Smart Contracts

For Developers

Anyone interested can learn to write smart contracts using languages like Solidity and deploy them on blockchain platforms such as Ethereum. Deploying a smart contract requires paying gas fees, as it is treated as a blockchain transaction.

For Investors and Traders

Understanding smart contracts is vital for informed investment decisions in the crypto space. Platforms like Token Metrics offer AI-driven analytics and real-time signals to help investors identify promising tokens and smart contract platforms.

Conclusion

Smart contracts represent one of the most transformative innovations in the digital economy. By eliminating intermediaries and enabling trustless, automated agreements, they drive efficiency, transparency, and innovation across industries. The immutable, encrypted records maintained on blockchain technology ensure security and prevent fraud, while automated execution accelerates transactions and reduces costs.

As smart contracts continue to expand their applications in 2025 and beyond, leveraging advanced analytical tools like those provided by Token Metrics is essential for developers, investors, and business leaders navigating this dynamic space. Far from being just a technological innovation, smart contracts signify a fundamental shift toward a more automated, transparent, and efficient digital economy. Understanding and embracing this technology is crucial for success in the blockchain-powered future unfolding before us.

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Build the Future of Crypto Trading: Integrating Token Metrics with LangChain for Smarter Crypto Decisions

Token Metrics Team
8 min

The rise of AI in crypto trading has opened new frontiers, and Token Metrics is leading the charge by enabling developers to build intelligent trading agents using its powerful API. The latest innovation? A seamless integration with LangChain – a popular framework for building context-aware agents using large language models (LLMs). In this blog post, we’ll break down how this integration works, what it enables, and why it represents a game-changing leap in automated crypto analysis.

What is LangChain?

LangChain is an open-source framework that helps developers build applications powered by large language models like Gemini, Claude, and OpenAI. It enables developers to build a wide range of advanced AI solutions, including:

  • Conversational agents
  • Retrieval-based question answering
  • Tool-using AI agents
  • Autonomous decision-making bots

By providing a flexible structure, LangChain makes it easy to integrate LLMs with real-world data sources and external tools, empowering your application to both reason and take action.

What is the Token Metrics API?

The Token Metrics API is a rich data layer for crypto investors, analysts, and builders. It provides real-time and historical data across:

  • AI-powered Trader and Investor Grades
  • Daily/Hourly OHLCV metrics
  • Bullish/Bearish AI signals
  • Quantitative indicators
  • Curated Crypto Indices

With over 80 data points per token and robust filtering, the API makes it easy to identify profitable tokens, spot market trends, and build intelligent trading strategies.

Why Combine LangChain and Token Metrics?

Combining LangChain with Token Metrics lets you build AI-powered crypto agents that deliver market analysis and actionable insights. These agents can:

  • Analyze crypto prices, trends, and sentiment using AI-driven methods
  • Apply predefined strategies or custom logic for automated decision making
  • Generates clear, human-readable insights and trading signals
  • Identify and highlight tokens with strong profit potential

This integration equips your crypto applications with intelligent, data-driven capabilities to support smarter trading and research.

Getting Started: Building the Agent

The integration process begins with cloning a GitHub repository (public upon video release), which includes everything needed to run a Token Metrics x LangChain demo agent. After installing the dependencies and opening the codebase in a code editor, you’ll find a fully documented README that walks you through the setup.

Step 1: Install Dependencies 

Navigate to the project directory and install the required packages using:

‍

Step 2: Configure Environment Variables

Before spinning up the agent, add your Token Metrics API key and your LLM API key (Openai, gemini, etc..) to the .env file. These credentials authorize the agent to access both Token Metrics and your chosen LLM.

Step 3: Define and Run the Agent 

The agent logic is explained directly in the README and starter code sample, making it easy to follow and customize. You’ll find clear instructions and code snippets that guide you through setting up the agent’s capabilities.

The agent supports two main modes:

  • Simple Agent: A straightforward agent that answers user questions using Token Metrics tools. It’s ideal for quick queries and basic crypto research tasks.
  • Advanced Agent: A more powerful agent capable of reasoning through complex tasks, chaining together multiple tools, and providing deeper analysis. This agent can handle multi-step queries and deliver more comprehensive insights.

Powered by LangChain’s ReAct (Reasoning + Acting) framework, your agent can:

  • Access a suite of Token Metrics tools for crypto analysis, including price data, trading signals, grades, and sentiment
  • Apply predefined strategies or custom logic for automated decision-making
  • Generate clear, human-readable insights and trading signals
  • Filter and highlight tokens based on objective, data-driven criteria

With comprehensive documentation and step-by-step guidance in the README, you can quickly build, customize, and deploy your own intelligent crypto research assistant—no separate agent.py file required.

A Real-World Example: Finding Winning Tokens

Here’s how the agent works in practice:

  • It queries tokens with a valid Trader Grade
  • Filters tokens with Bullish AI signals
  • Compares Trading Signal ROI vs Holding ROI
  • Filters out tokens that aren’t outperforming with active trading

In the test case, it identifies BANANAS S31 as a top candidate:

  • High trader grade
  • Bullish signal
  • Strong Trading Signal ROI (better than holding)

At the end of its analysis, the bot outputs a summary of:

  • Overall market sentiment
  • Top token opportunities
  • Macro-level recommendations

In this case, while BANANAS S31 stood out, the overall market leaned neutral with a slight long-term bearish bias, a useful snapshot for any trader.

Switching to the Advanced Agent

LangChain’s flexibility allows the same bot to switch into an interactive chatbot by attaching memory to the agent. Users can now type in:

“What are the top 3 tokens to watch today?”
“Is the market bullish or bearish?”
“Give me DeFi tokens with bullish signals.”

The agent can dynamically select and chain together specialized crypto analysis tools in response to your questions. This means the agent doesn’t just answer queries with static information but it actively pulls the latest Token Metrics data, applies AI-driven analytics, and synthesizes insights using multiple sources and methods. 

As a result, you will get clear, context-aware responses about market trends, trading signals, token performance, and more. All grounded by the Token Metrics APIs

Key Benefits of This Integration

Here’s why this LangChain x Token Metrics setup is a big deal:

âś… AI That Acts

LangChain agents go beyond conversation—they can autonomously scan and analyze crypto markets using a suite of Token Metrics tools.

âś… Actionable Data

Token Metrics transforms complex market data into actionable insights, empowering the agent to support smarter trading and investment decisions.

âś… Current Market Analysis

Every time the agent runs, it draws on up-to-date Token Metrics data, ensuring responses reflect the latest market conditions.

âś… Fully Customizable

Tailor the agent to your needs, filter by DeFi tokens, set custom ROI thresholds, or incorporate additional data sources like social sentiment. The open-source codebase makes it easy to adapt the agent for any use case

What Can You Build With This?

This framework provides a versatile foundation for a wide range of crypto applications, including:

  • Personal trading assistants
  • Crypto Telegram bots
  • LLM-integrated crypto dashboards
  • Quant strategy testers
  • AI-powered newsletters and daily briefs

By combining a powerful API with a reasoning engine, you unlock a new frontier in crypto intelligence.

Final Thoughts

The integration of Token Metrics with LangChain shows what’s possible when deep crypto analytics meets autonomous reasoning. Instead of flipping between dashboards, you can build an agent that does the research for you, surfaces profitable tokens, and delivers daily alpha—automatically.

Whether you’re a developer, trader, or AI enthusiast, this setup gives you a robust foundation to experiment, build, and push the future of AI trading forward.

Try It Yourself

Once the repository is public, you’ll be able to:

  • Clone it from GitHub
  • Add your API keys
  • Customize your agent
  • Start generating automated crypto insights today

Click here to view the demo.

AI agents are the future of trading—and with Token Metrics and LangChain, the future is already here.

Research

Best Crypto Index in 2025: How AI-Powered Indices Redefine Crypto Trading?

Token Metrics Team
8 min

The crypto market is rapidly evolving, and with it, the way investors approach asset allocation. Traditional token picking is being replaced by smarter, more diversified strategies like crypto indices. But as AI enters the scene, a new generation of indices—AI crypto indices—is emerging. So, what’s the difference? And which is better for investors in 2025?

In this guide, we break down the key differences, advantages, and use cases of crypto indices vs AI crypto indices, helping you decide which is better for your investment strategy.

What Are Crypto Indices?

A crypto index is a curated basket of cryptocurrencies grouped based on certain criteria such as market capitalization, sector (like DeFi or NFTs), or performance. Just like stock market indices (e.g., S&P 500), these indices offer passive exposure to a segment of the market, allowing investors to diversify without manually picking individual tokens.

Types of Crypto Indices:

  • Market Cap Indices – Top 10, Top 25, or Top 100 coins by market cap
  • Sector-Based Indices – DeFi, Gaming, Memecoins, RWA (Real World Assets), etc.
  • Performance-Based Indices – Best-performing assets over a defined period

Crypto indices are typically rebalanced at regular intervals (e.g., weekly or monthly) and follow fixed rules.

What Are AI Crypto Indices?

AI crypto indices take things a step further by using artificial intelligence and machine learning models to dynamically manage the index.

Unlike static or rule-based crypto indices, AI crypto indices continuously analyze data—such as price action, sentiment, volume, momentum, and on-chain signals—to adjust holdings in real-time or near real-time.

Features of AI Crypto Indices:

  • AI-Powered Rebalancing: Allocations change based on market signals, not fixed schedules
  • Market Timing: Enter or exit positions when bullish or bearish conditions are detected
  • Signal-Based Entry/Exit: Move to stablecoins when the AI model predicts a downturn
  • Multi-Factor Analysis: Combines technical, fundamental, and sentiment indicators

Benefits of Traditional Crypto Indices

  1. Simplicity
    Crypto indices are easy to understand and ideal for beginners who want broad exposure without analyzing charts.
  2. Diversification
    Instead of betting on one token, investors gain exposure to a group, reducing risk.
  3. Low Maintenance
    Once you invest, the portfolio is rebalanced automatically based on set rules.
  4. Transparency
    Rules and components are clear. You know what’s in your index and when it changes.

Benefits of AI Crypto Indices

  1. Smarter Market Timing
    AI models detect bullish or bearish signals and adjust the portfolio accordingly—buying when momentum builds, selling when risk rises.
  2. Higher Alpha Potential
    By reacting faster to changing market conditions, AI indices often outperform static ones in volatile markets.
  3. Dynamic Asset Allocation
    Allocations aren’t fixed—they adapt based on hundreds of real-time data points like sentiment, on-chain activity, and volatility.
  4. Built-in Risk Management
    When bearish signals appear, AI indices can exit positions and shift to stablecoins—helping protect capital in downturns.

Which Is Better in 2025?

The answer depends on your investment style, risk tolerance, and goals:

Choose Crypto Indices if:

  • You prefer a hands-off, passive approach
  • You're a beginner looking for simple exposure
  • You value transparency and low complexity
  • You're investing for the long term regardless of market cycles

Choose AI Crypto Indices if:

  • You want an actively managed experience without managing trades yourself
  • You seek higher performance in volatile markets
  • You want a strategy that adapts dynamically to real-time trends
  • You care about downside protection during bear markets

In 2025, with markets becoming more data-driven and volatile, AI crypto indices are increasingly becoming the preferred option for both retail and institutional investors seeking a smarter way to invest.

Why Token Metrics AI Crypto Indices Stand Out

Token Metrics is at the forefront of AI-powered crypto investing. Its proprietary AI crypto indices use over 80 data points per token—including momentum, sentiment, on-chain trends, trading volume, and volatility—to construct and manage indices that enter and exit positions with precision.

  • âś… Bullish Signal? Capital is deployed into top-ranked tokens.
  • âś… Bearish Signal? The AI exits to stablecoins to reduce drawdowns.
  • âś… Real-Time Rebalancing? Yes—based on predictive indicators, not static rules.

Whether you're a trader looking for alpha or an investor looking to automate your exposure, Token Metrics AI crypto indices offer smart investing on autopilot.

Final Thoughts

In the debate of crypto indices vs AI crypto indices, there’s no one-size-fits-all answer. Traditional indices offer simplicity and passive diversification, while AI indices bring intelligence, agility, and risk-managed growth.

In 2025 and beyond, as crypto markets become more sophisticated, the edge will belong to those using smarter tools. AI crypto indices aren’t just the future—they’re the present.

FAQs

Q: Are AI crypto indices risky?
A: They’re typically less risky than picking individual tokens, thanks to built-in risk management and real-time adaptability.

Q: Can I customize an AI crypto index?
A: Platforms like Token Metrics are building toward more customizable AI-driven portfolios tailored to your preferences.

Q: Do AI indices outperform traditional indices?
A: In volatile markets, AI indices often outperform by reacting quicker to price swings and avoiding losses through bearish exits.

Q: Is this approach suitable for beginners?
A: Yes. AI crypto indices are designed to be user-friendly—offering the benefits of active trading without manual effort.

Want to experience the future of crypto investing?
Explore AI-powered indices now at
Token Metrics.

Click here to get early access to Token Metrics indices.

Research

Top Crypto Indices in 2025: The Best Ways to Invest in Crypto Without Picking Tokens

Token Metrics Team
Top Crypto Indices in 2025: The Best Ways to Invest in Crypto Without Picking Tokens

Crypto investors in 2025 face an overwhelming number of choices. With thousands of tokens, rapidly shifting narratives, and constant market volatility, building and managing a profitable portfolio isn’t easy. But one solution is gaining traction among both beginner and seasoned investors alike: crypto indices.

A crypto index is a curated basket of tokens that provides diversified exposure to a specific segment of the crypto market. Instead of researching and buying individual tokens, you invest in a single index that tracks a group of assets—similar to how the S&P 500 or NASDAQ works in traditional finance.

In this article, we’ll cover the top crypto indices in 2025, explain what makes each one stand out, and explore how AI is revolutionizing index investing in the crypto space.

What Is a Crypto Index?

A crypto index is a portfolio of cryptocurrencies selected and weighted using a specific methodology. It can be passive—holding the top 10 tokens by market cap—or active, where an algorithm or AI rebalances the index based on market conditions.

Investing in a crypto index means you’re buying into an entire theme or strategy, not just a single token. This helps reduce risk, smooth out returns, and simplify the investing process.

Why Use Crypto Indices in 2025?

Here’s why crypto indices are more relevant than ever in 2025:

  • Diversification: Spread your capital across multiple tokens, reducing the impact of any single asset's volatility.
  • Automation: Many indices rebalance automatically, saving you time and effort.
  • Trend Exposure: Sector-based indices let you ride major trends like AI, DeFi, or Real World Assets (RWA).
  • Risk Management: AI-powered indices can reduce exposure or shift to stablecoins in bearish conditions.

Top Crypto Indices in 2025

1. Token Metrics AI Indices

  • Type: Actively Managed
  • Technology: AI-driven with over 80 data points per token
  • Themes: Memecoins, RWA, AI Agents, DeFi, Layer 1s
  • Frequency: Rebalanced weekly based on bullish/bearish market signals

Why It’s a Top Pick:
Token Metrics has pioneered a new generation of crypto indices that actively trade based on AI insights. Instead of static rebalancing, the AI identifies when to enter or exit tokens based on current momentum, volatility, sentiment, and technical indicators. These indices offer a smarter, automated approach to outperforming the market—especially in fast-moving sectors like AI tokens or memecoins.

2. Bitwise 10 Crypto Index Fund (BITW)

  • Type: Passive
  • Structure: Traditional investment vehicle (available via brokerage)
  • Assets: Top 10 cryptocurrencies by market cap

Why It’s a Top Pick:
BITW is ideal for investors looking for simple, long-term exposure to the largest and most established cryptos. It tracks the performance of the top 10 digital assets, including Bitcoin (BTC), Ethereum (ETH), and Solana (SOL). It's fully regulated and targets institutions or traditional investors entering crypto.

3. Phuture DeFi Index (PDI)

  • Type: On-chain, Passive
  • Focus: Decentralized Finance (DeFi) tokens
  • Access: Non-custodial, DeFi-native

Why It’s a Top Pick:
Phuture makes index investing seamless within DeFi ecosystems. Its DeFi Index provides exposure to high-utility tokens like AAVE, UNI, and CRV. Ideal for crypto-native users, it’s completely on-chain, composable, and doesn’t require intermediaries.

4. Index Coop – GMI (Bankless DeFi Innovation Index)

  • Type: Community-Governed, Thematic
  • Focus: Experimental and innovative DeFi projects
  • Governance: Managed by Index Coop and Bankless DAO

Why It’s a Top Pick:
GMI stands for “Going Mainstream Index” and aims to capture cutting-edge projects at the bleeding edge of DeFi innovation. It’s great for those bullish on next-gen financial infrastructure and looking for exposure to governance tokens, staking protocols, and experimental finance.

5. Crypto20 (C20)

  • Type: Tokenized Index Fund
  • Composition: Top 20 cryptocurrencies
  • Access: ERC-20 token (C20) represents index share

Why It’s a Top Pick:
Crypto20 was one of the first tokenized crypto index funds. It lets you invest in the top 20 cryptocurrencies through a single token, with auto-rebalancing and transparent weighting. It’s an easy on-ramp for beginners who want broad crypto exposure.

6. Token Metrics Global Market Cap Indices (HODL Series)

  • Type: Passively Managed
  • Available Indices: Top 5, 10, 25, and 100 by market cap
  • Strategy: Buy-and-hold portfolios for long-term investors

Why It’s a Top Pick:
These indices are designed for investors who believe in the long-term growth of the crypto market but don’t want to chase narratives. The HODL series is great for passive wealth accumulation with minimal trading activity.

Thematic Crypto Indices to Watch

If you’re looking to ride specific crypto narratives in 2025, these thematic indices are worth considering:

🔹 AI Tokens Index

  • Tracks top AI-focused crypto projects like FET, AGIX, and GRT.
  • Surging interest due to the AI boom in both tech and crypto sectors.

🔹 Memecoin Index

  • Includes high-volatility meme tokens like DOGE, PEPE, BONK, and WIF.
  • Great for traders who want to play high-risk, high-reward cycles.

🔹 RWA Index (Real World Assets)

  • Exposure to tokens that represent off-chain value: MKR, ONDO, XDC, etc.
  • Benefiting from institutional crypto adoption and tokenized finance growth.

🔹 Layer 1 Index

  • Tracks the performance of top blockchain platforms: ETH, SOL, AVAX, NEAR, etc.
  • Best for investors bullish on infrastructure plays.

How to Start Investing in Crypto Indices

  1. Choose a Platform – Token Metrics, Bitwise, Index Coop, or Phuture.
  2. Select an Index – Based on your interest: AI, DeFi, Memecoins, or Market Cap.
  3. Connect Wallet or Sign Up – Depending on whether it's on-chain or centralized.
  4. Fund Your Account – Typically via USDC, ETH, or fiat.
  5. Monitor Performance – AI indices may require weekly check-ins; HODL indices can be set and forgotten.

Final Thoughts: Crypto Indices Are the Smartest Way to Invest in 2025

Whether you’re a new investor or an experienced trader, crypto indices in 2025 offer one of the most efficient, diversified, and intelligent ways to grow your crypto portfolio. Platforms like Token Metrics lead the way with cutting-edge AI-powered indices, while more traditional players like Bitwise provide reliable exposure for institutional strategies.

By investing in an index, you’re not just buying a few coins—you’re gaining access to a curated, balanced, and often smarter portfolio that evolves with the market. And as AI and automation take over more of the investing process, index strategies are becoming even more powerful.

If you’re ready to stop guessing and start investing strategically, now is the time to explore the best crypto indices available.

Click here to get early access to Token Metrics indices.

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