Research

Top Programming Languages for Working with Crypto APIs

Discover the best programming languages for building crypto apps and integrating APIs. Explore Python, JavaScript, Go, and more to power your next blockchain project.
Token Metrics Team
6
MIN

As the crypto ecosystem expands, APIs are the bridge connecting developers to real-time prices, blockchain data, and decentralized tools. Choosing the right programming language is critical—whether you're building trading bots, portfolio trackers, or AI research agents for digital assets. How do you select the most effective language for working with crypto APIs? Let's break down the options, trade-offs, and best practices for developers entering this dynamic space.

Python: The Leading Choice for Crypto APIs

Python stands out as the top choice for many developers building crypto-powered applications. Its simple syntax, robust standard libraries, and thriving open-source community have propelled it to the forefront of blockchain and crypto development. Here's why:

  • Extensive library support: Powerful packages such as requests, web3.py, and ccxt simplify everything from basic REST calls to advanced blockchain and exchange integrations.
  • AI and data science integration: Python's dominance in AI and machine learning (through libraries like TensorFlow and scikit-learn) makes it ideal if you want to combine crypto market data with analytics or modeling.
  • Rapid prototyping: Python's readability increases development speed, allowing teams to quickly test new crypto strategies or data queries.
  • Strong community and documentation: There are abundant tutorials and prebuilt modules for most major exchanges and blockchains, lowering the entry barrier for newcomers.

Python is especially popular for backend services, trading bots, analytics dashboards, and AI-driven crypto research platforms. Its versatility makes it an excellent starting point for most crypto API projects.

JavaScript and Node.js: For Both Web and Backend

JavaScript's ubiquity in web development—and the rise of Node.js for backend—have cemented its importance in the crypto API landscape. Here's why developers favor JavaScript:

  • Full-stack flexibility: With frameworks like React or Vue.js on the frontend, and Node.js on the backend, developers can seamlessly create interactive dApps and dashboards that communicate with blockchain or exchange APIs.
  • Real-time capabilities: Libraries like web3.js make it easy to connect web applications directly to Ethereum and other blockchains, powering features like wallet integration and token swaps.
  • Growing DeFi ecosystem: Many decentralized finance (DeFi) products and Web3 tools have rich JavaScript or TypeScript SDKs for easy adoption.
  • Strong community: JavaScript's vast ecosystem ensures that support is available for integrating most major crypto APIs, whether for simple price data or advanced smart contract interactions.

JavaScript and Node.js are top picks for projects focused on user-facing dashboards, live trading interfaces, and dApp development where real-time interaction is crucial.

Compiled Languages: Go, Java, and C#

For developers who prioritize performance and scalability, compiled languages like Go, Java, and C# come into play:

  • Go (Golang): Known for its concurrency support and efficiency, Go is popular for blockchain node clients (e.g., Ethereum's Geth) and high-throughput servers that need to process large amounts of real-time crypto data via APIs. Its static typing helps reduce runtime errors, and its small binaries make deployment easy.
  • Java: Java remains a leading choice in enterprise environments where reliability and security are paramount. Java powers several blockchain SDKs (such as BitcoinJ) and is often favored for building robust backend crypto services.
  • C#: Particularly useful for Windows-based environments and gaming platforms leveraging blockchain assets. Libraries like NBitcoin enable smooth API integration with Bitcoin and related networks.

While these languages often require more boilerplate and steeper learning curves than Python or JavaScript, they excel in situations where uptime, parallel processing, and performance are vital.

Smart Contract and Blockchain-Specific Languages: Solidity & Rust

When your project needs to interact deeply with blockchain networks beyond just APIs—such as deploying smart contracts or working at the protocol level—specialized languages become essential:

  • Solidity: The dominant language for Ethereum smart contracts, Solidity is essential for developers building and querying contracts directly. While typically not used to interact with APIs, it's often complemented by Python (web3.py) or JavaScript (web3.js) scripts that handle API calls and contract interactions together.
  • Rust: Fast rising in popularity, Rust powers next-gen blockchains like Solana and Near. Its emphasis on memory safety and concurrency makes it ideal for performance-critical crypto platforms. Rust also supports tooling for building high-speed client libraries and backend services that consume blockchain APIs.

For API-focused projects, these languages play a role primarily when paired with a more general-purpose language (like Python or JavaScript) for off-chain tasks, with the specialized code handling on-chain logic.

Factors to Consider When Choosing a Language for Crypto APIs

The ideal programming language depends on a few project-specific factors:

  • Project type: Analytics and research tools often favor Python; user-facing platforms lean towards JavaScript/Node.js; and mission-critical applications may benefit from Go or Java.
  • API documentation and libraries: Mature APIs will have client libraries in popular languages. Libraries like Token Metrics API, Binance, or Coinbase typically support Python, JavaScript, and Java.
  • Security considerations: Languages with clear type systems and strong error handling (like Rust and Go) may reduce API integration risks.
  • Team expertise: Leverage your team’s current language strengths to minimize onboarding time and maximize productivity.
  • Ecosystem support: Evaluate how active the language’s crypto developer community is for support and ongoing maintenance of crypto API wrappers or SDKs.

Ultimately, the best crypto API projects balance technical strengths, developer proficiency, and the support network a programming language provides.

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Is Python better than JavaScript for working with crypto APIs?

Both Python and JavaScript are leading choices. Python excels for backend analytics and AI-driven tools, while JavaScript is often used for building interactive dApps and web interfaces directly leveraging APIs. The right choice often depends on your application requirements and team expertise.

What libraries can help integrate APIs in crypto apps?

Popular libraries include web3.py and ccxt for Python, web3.js and ethers.js for JavaScript, as well as client SDKs provided by leading exchanges and data providers. Token Metrics also offers a powerful API for market data and analytics.

How can I enhance API security in crypto projects?

Use secure API key management, implement rate limiting, utilize HTTPS for data transmission, and validate all external responses. Choosing a strongly-typed language (like Go or Rust) and leveraging well-maintained libraries can reduce vulnerabilities.

Should I learn Solidity or Rust for API development?

Solidity and Rust are best suited for smart contract and protocol-level blockchain work—not direct API integration. For most API-driven crypto projects, Python, JavaScript, or Go are more practical; learn Solidity or Rust if you plan to develop on-chain logic or new blockchain platforms.

How does Token Metrics support developers working with crypto APIs?

Token Metrics delivers AI-driven crypto analytics and signals via a unified API, empowering developers to build research, trading, or analytical tools rapidly. The platform provides robust documentation and versatile endpoints compatible with major programming languages.

Disclaimer

This content is for informational and educational purposes only. It does not constitute investment, financial, or legal advice. Use all programming languages, APIs, and crypto tools at your own risk and always conduct thorough technical due diligence before integrating third-party services or tools into your projects.

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

Token Metrics Team
8 min
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
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.

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
MIN

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.

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