Crypto Basics

What are NFTs? NFT Art Explained | Future of NFTs

Learn more about NFTs and their future.
Token Metrics Team
6 minutes
MIN

You may have heard of CryptoPunks, Bored Ape Yacht Club, and VeeFriends, but you may not understand what they are. These names may sound like random combinations of words, but they actually represent some of the most valuable non-fungible token (NFT) projects that have emerged in the past few years.

The world of crypto art and NFTs may appear complex and mysterious, with a mix of celebrities, influencers, and internet experts. But it's not as confusing as it seems. Let's start from the beginning.

What Is An NFT?

Nearly all crypto art that has been introduced to the market has been done so through the minting of non-fungible tokens (NFTs). NFTs are digital assets that have verified proof of ownership. While "fungible tokens" like the US dollar can be easily traded (like exchanging 4 quarters for a dollar), each NFT is unique and cannot be easily traded. For example, imagine a sketch of "Starry Night" by Vincent Van Gogh that has been authenticated by a fine art appraiser as an original. This sketch would be non-fungible because you could not easily exchange it for, say, an original sketch by Leonardo da Vinci. This concept is easy to understand with tangible items like art pieces or collectible cards, but when digital assets can range from a celebrity tweet to an iconic meme to a picture of a pimped out animated ape, it may be confusing.

How Can We Ensure Unique Authenticity?

This is where NFTs enter the scene. Say you are a graphic design artist who just finished your newest 1-of-1 piece of work and you want to sell it as an NFT. Whoever purchases this piece would not only receive the artwork but they would also receive a “digital receipt” that proves that this exact piece is original, unique and authentic.

“But What If I Just Screenshot This Digital Artwork? Wouldn’t I Technically Own the Piece as Well?”

This is the first question that many have mockingly asked on social media and internet forums. The easy answer: yes, you can screenshot practically all digital artwork, but no, that does not mean you own it.

For example, millions of people swarm into the Louvre every year, waiting patiently amidst a giddy crowd, just to capture a picture of the priceless Mona Lisa. Obviously, a picture of the Mona Lisa saved on your iPhone camera roll does not mean that you own that painting.

NFTs work the same way.

Just as the Louvre paid millions of dollars to own, maintain, and display the Mona Lisa in their museum, NFT buyers do the same. However, the main difference is that instead of paying dollars to house the art in a fancy museum, they are paying with cryptocurrency and housing their art in a virtual showcase, so to speak.

This is the basis for how NFTs, cryptocurrency, and blockchain technology are establishing a new and lucrative market for digital art and artists.

The Art of Being Digital

In a 2021 interview, Gary Vaynerchuk (founder of Vayner Media and creator of VeeFriends) made the following statement regarding NFTs. The interviewer remarks on the tangibility of NFTs stating, "the digital aspect, like, you can't see it" — Gary jumps in:

"Well, you can't see a blue check on Instagram? I don't walk around the world with a blue check tattooed on my forehead, but everybody sees it. You can't see my 9 million followers on Instagram, or can you? I would argue the reverse. I would argue that people can't see most of the fancy things you have in your house; that people can see more digital than real life."

And he's onto something, and I'd like to call that something "The Art of Being Digital". In our highly digitized world, our online outreach and interconnectivity is wildly amplified. Gary Vee currently has 9.9 million followers on Instagram — but without access to the internet — he has no way of interacting with that community and tapping into the true power of those 9.9 million people.

Why Do NFTs Have Value?

The value of an NFT is determined by the collective intentionality of those who are willing to buy and sell them. In other words, the value of an NFT is based on what people are willing to pay for it. This is similar to the way that the value of traditional art is determined by the market, with the value being based on factors such as the artist's fame and the rarity of the work.

The Tom Brady example illustrates this idea. On the surface, it might seem strange that someone would pay $430k for a digital picture of a cartoon ape. However, if we consider the fact that the buyer was Tom Brady and the seller was the well-known digital artist Trevor Jones, it becomes clearer that the value of the NFT was determined by the collective intentionality of those involved in the transaction.

Furthermore, the digital art of NFTs offers more than just a digital file and a high price tag. NFTs provide the ability for digital artists to monetize their work and for collectors to own and trade unique digital items. This opens up new opportunities for artists and collectors alike, and has led to the growth of a vibrant and exciting market for NFTs.

Join The Club

Celebrities such as Tom Brady, Post Malone, Steph Curry, and Jimmy Fallon have been buying Bored Ape NFTs. Bored Ape NFTs were introduced by the Bored Ape Yacht Club (BAYC) in April 2021 at a price of 0.08 Ethereum (ETH) each, or about $190 at the time. Since then, the price of Bored Apes has increased significantly, yielding substantial returns for early investors.

In addition to the potential for financial gain, buying a Bored Ape NFT also grants the buyer access to the BAYC community. This includes access to the BAYC Discord, where buyers can connect with other members of the club, including celebrities, and collaborate on NFT-related projects. BAYC also gives members priority access to future NFT drops, allowing them to expand their collections.

Minting and selling NFTs can also be highly lucrative for those who create their own NFT projects. This is another reason why celebrities and others may be interested in the NFT market. Creating and selling NFTs allows artists and other creators to monetize their digital work and gives collectors the opportunity to own unique digital items. The growth of the NFT market has created new opportunities for both artists and collectors, leading to a vibrant and exciting market for NFTs.

Blockchain, Smart Contracts, and Secondary Sales

Blockchain technology is used to record the conversion of traditional currency into cryptocurrency, such as Ethereum (ETH), in the NFT market. This transaction is recorded on the blockchain as public information that is easily accessible to anyone who wants to view it. This ensures transparency and helps to prevent fraud in the NFT market.

Smart contracts are programs stored on the blockchain that allow NFT creators to stipulate the conditions of resale. For example, a creator could draft a smart contract that allows them to earn a 10% commission on any subsequent resales of their NFT. This allows creators to continue to benefit from the success of their work, even after the initial sale.

Smart contracts also facilitate secondary sales in the NFT market. When the value of an NFT increases, the smart contract associated with that NFT can automatically distribute any profits from the sale to the relevant parties, such as the creator or the NFT platform. For example, if the value of Tom Brady's Bored Ape NFT increased from $430k to $530k, the smart contract could automatically distribute the $100k profit to the Bored Ape Yacht Club, if that was stipulated in the contract.

This use of smart contracts helps to ensure that all parties are fairly compensated for their contributions to the NFT market, and it allows for efficient and transparent transactions without the need for intermediaries.

The Future Of Crypto-Art

Grammy-winning artist Tyler, the Creator recently questioned the value of NFTs, stating that most of the examples he has seen are not "beautiful art." While art is subjective and many NFTs are AI-generated, there are still many ways in which NFTs can offer value in the real world.

First, NFTs can be used to represent tangible experiences and achievements. Instead of framing a concert ticket or a season pass, these items could be represented as NFTs, allowing individuals to proudly display their experiences and achievements in the digital world. This could be especially beneficial for VIP experiences and exclusive memberships.

Second, NFTs can provide a level of authenticity and scarcity that cannot be achieved with physical items. This is especially useful for limited edition items and collectibles, which can be authenticated and traded easily on the blockchain.

Third, the use of smart contracts can ensure that all parties are fairly compensated for their contributions to the NFT market. This allows for transparent and efficient transactions without the need for intermediaries.

Overall, while some may dismiss NFTs as "silly little digital artworks," they have the potential to reshape not just the art world, but the world itself.

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Choosing the Right Crypto API for Your Bot: REST vs WebSockets Explained

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As crypto trading automation accelerates into 2025, choosing the right API interface for your bot could be the critical difference between lagging behind or capitalizing on real-time opportunities. But when it comes to REST vs WebSocket crypto APIs, which technology should you select for power, reliability, and performance? This post details the core differences, essential trade-offs, and latest best practices for crypto API comparison, empowering you to make a technical, mission-aligned decision for your next-generation trading bot.

REST and WebSocket: Core Concepts for Crypto APIs

To understand which API protocol is optimal for your crypto bot in 2025, let’s clarify what REST and WebSocket actually do—especially in a high-frequency, automation-driven ecosystem.


     

     


The fundamental contrast: REST works in a "pull" model (request/response), while WebSockets operate in a "push" paradigm (real-time streams). This distinction plays a major role in how bots interact with exchanges and handle crypto market shifts.

Performance, Latency, and Reliability for Crypto Bots

Performance and data freshness are critical for crypto APIs in 2025. High-frequency or latency-sensitive trading bots depend on receiving accurate, instant data on price movements and order book changes.

       

Yet reliability considerations persist. WebSocket connections may experience drops, require reconnection logic, and occasionally miss events during high network volatility. REST, while slower, may provide more consistency under unstable conditions.

Scalability, Security, and Use Cases in Crypto API Comparison

Your crypto bot’s requirements—frequency of updates, types of orders, and compliance frameworks—may drive the API choice. Here’s how REST and WebSocket compare across scenarios relevant in 2025:


     

     


Security-wise, REST can offer granular access controls per endpoint. WebSockets, though encrypted, have unique session management and timeout considerations—especially important for bots managing real funds.

In the ever-evolving crypto automation landscape, developers and researchers are seeing:


     

     

     


Ultimately, the “better” API depends on your bot’s profile: Speed-critical, event-driven bots gravitate to WebSockets, while research bots or those trading on daily signals may remain with REST. Many leading bot frameworks in 2025 offer seamless switching or even run hybrid workflows for best-in-class resilience.

Practical Tips for Comparing REST vs WebSocket Crypto APIs

When evaluating crypto APIs for your bot or automation project, consider these practical criteria:

    Above all, test API performance in real-market scenarios—using sandboxes or historical replays—to ensure your bot’s architecture is future-proofed for 2025 volatility and growth.

    Build Smarter Crypto Apps & AI Agents with Token Metrics

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    FAQ: REST vs WebSocket Crypto APIs for Bots in 2025

    What are the main differences between REST and WebSocket APIs?

    REST APIs use isolated request/response cycles and are suited for infrequent or simple queries. WebSocket APIs sustain continuous, two-way connections for real-time market data updates. The choice depends on whether your bot needs static or streaming data.

    Which API type is better for real-time crypto trading bots?

    WebSocket APIs are preferred for real-time trading bots due to their lower latency and ability to push instant data updates. However, implementation complexity and stability must be considered.

    Can I use both REST and WebSocket in the same bot?

    Yes. Many bots use REST for account management or trade execution and WebSocket for live data streams. This hybrid approach leverages the strengths of each protocol.

    Are there security differences between REST and WebSocket crypto APIs?

    Both protocols utilize SSL encryption and API key-based authentication, but WebSocket sessions require more careful management and regular re-authentication to prevent stale or hijacked connections.

    How do I choose the right API for my crypto bot?

    Assess your bot’s use case—speed versus reliability, frequency of queries, data intensity, and integration requirements. Testing both protocols with your trading logic is recommended for optimization.

    Disclaimer

    This content is for educational and informational purposes only. It does not constitute investment, trading, or financial advice. Past performance and API platform capabilities are not guarantees of future results. Always perform independent research and technical due diligence before building or deploying trading bots or utilizing API-based automation tools.

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    Avoid These Common Pitfalls When Creating Your First Crypto Trading Bot

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    Coding your first crypto trading bot can be an exciting journey into algorithmic trading, automation, and the world of digital assets. But for many beginners, the path is full of unexpected hurdles. Rushing into bot development without understanding key risks can lead to costly errors, technical failures, and frustration. In this article, we break down the top mistakes to avoid when building your first crypto trading bot, and offer actionable insights so you can start your automation journey on solid ground.

    Jumping in Without Market or Technical Knowledge

    Many new developers are eager to start building a crypto trading bot after seeing success stories or reading about impressive returns from algorithmic strategies. However, skipping foundational learning can result in critical errors:

    • Limited understanding of market structure: Crypto markets operate differently from traditional assets, with unique liquidity, volatility, and trading hours.
    • Lack of programming proficiency: Writing robust, bug-free code is vital. Even minor logic errors can trigger unexpected trades or losses.
    • Neglecting data analysis: Bots rely on processed signals and historical data to inform actions. Without knowing how to interpret or validate data sources, a bot may act on false assumptions.

    Before you start coding, invest time to learn how exchanges work, typical trading strategies, and the programming language you intend to use (often Python or JavaScript for most bot frameworks). Familiarize yourself with basic quantitative analysis and backtesting tools to ground your bot in solid logic.

    Overlooking Risk Management Essentials

    One of the most widespread beginner crypto bot mistakes is failing to build robust risk controls into the automated system. While automation can remove human error and emotion, it cannot protect you from strategy-flaws or market anomalies by default. Major risks include:

    • No stop-loss or position sizing: Without defined parameters, a bot could open positions too large for your portfolio or fail to exit losing trades, compounding losses.
    • Ignoring exchange downtime or slippage: Bots need to account for order execution issues, network delays, or sudden liquidity drops on exchanges.
    • Insufficient monitoring: Set-and-forget mentality is dangerous. Even well-designed bots require monitoring to handle edge-cases or technical glitches.

    Consider embedding risk-limiting features. For example, restrict order sizes to a fraction of your total balance and always code for the possibility of missed, delayed, or partially filled orders.

    Choosing Unstable or Unsafe Exchange APIs

    APIs are the backbone of any crypto trading bot, allowing programmatic access to price data, balances, and order actions. For beginners, choosing subpar or poorly documented APIs is a frequent pitfall. Key issues include:

    • Insecure key storage: API keys grant powerful permissions. Storing them in plain text or repositories increases the risk of theft and account compromise.
    • Throttling and limits: Many exchanges impose usage limits on their APIs. Failing to handle request throttling can break your bot's functionality at critical moments.
    • Lack of redundancy: If your bot depends on a single API and it goes offline, your strategy can fail entirely. Good practice includes fallback data sources and error handling routines.

    Take time to evaluate API documentation, community support, and reliability. Explore well-maintained libraries and modules, and always use environment variables or secure vaults for your credentials.

    Failing to Backtest and Simulate Bot Performance

    It's tempting to deploy your trading bot live the moment it compiles without error. However, skipping backtesting—testing your bot on historical data—or forward-testing on a demo account is a recipe for unexpected behavior. Top mistakes here include:

    • Curve-fitting: Over-optimizing your bot to past data makes it unlikely to work under changing real-world conditions.
    • Test environment differences: Bots may behave differently in a testnet/sandbox compared to mainnet, especially regarding latency and real order matching.
    • Poor scenario coverage: Not simulating rare but critical events (such as flash crashes or API downtime) can leave your bot vulnerable when these inevitabilities occur.

    Carefully test your strategies with a range of market conditions and environments before risking live funds. Look for open-source backtesting libraries and consider using paper trading features offered by many exchanges.

    Neglecting Security and Compliance Considerations

    Crypto trading bots operate with sensitive account access and sometimes large balances at risk. New developers often underestimate the importance of security and regulatory compliance. Watch out for:

    • API abuse or leaks: Credentials, if exposed, can lead to unauthorized actions on your exchange accounts.
    • Open-source hazards: Downloading random code from forums or GitHub can introduce backdoors or exploits.
    • Compliance oversight: Depending on your location, automated trading or data collection may have legal implications. Always review exchange policies and seek out reliable, neutral sources on legal requirements before deploying trading bots.

    Implement best practices for code security and stay attentive to legal developments in your jurisdiction. Avoid shortcuts that could put your assets or reputation in danger.

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    What programming languages are best for building a crypto trading bot?

    Most crypto trading bots are built in Python or JavaScript due to strong libraries and exchange support. Some advanced users deploy bots in Java, C#, or Go for higher performance, but Python is considered beginner-friendly.

    How can I test my crypto bot safely before going live?

    Start with backtesting using historical data, then use exchange-provided sandboxes or paper trading environments. This lets you observe your bot’s actual behavior without risking real money or assets.

    What are best practices for managing API keys securely?

    Store API keys in environment variables or encrypted vaults, restrict key permissions, and never share or publish them. Rotate keys periodically and monitor logs for unauthorized activity.

    Can a crypto bot lose money even with a tested strategy?

    Yes; even well-tested bots can lose money due to market changes, exchange outages, slippage, or unforeseen bugs. Continuous monitoring and updates are essential for risk control.

    What tools or platforms can help beginners build better crypto trading bots?

    Platforms offering real-time market data, robust APIs, and community support can help. AI-powered research tools like Token Metrics can assist with backtesting and market analysis, while open-source frameworks provide learning resources.

    Disclaimer

    This article is for educational purposes only and should not be construed as investment, financial, or trading advice. Crypto trading bots carry risks, and readers should conduct thorough research and consult with professionals as appropriate. Always follow relevant laws and exchange terms of service.

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    Mastering Binance & Coinbase APIs for Automated Crypto Trading

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    Automating crypto trading with APIs is revolutionizing how traders and developers interact with digital asset markets. If you've ever wondered how to connect directly to exchanges like Binance and Coinbase, automate your strategies, or build your own trading bots, understanding their APIs is the crucial first step. This guide unpacks the essentials of using the Binance and Coinbase APIs for automated crypto trading—explaining the technology, potential use cases, and important considerations for getting started.

    What Are Crypto Trading APIs?

    APIs, or Application Programming Interfaces, enable software to interact directly with external services. Within cryptocurrency trading, APIs provide a standardized way for users and programs to connect with exchange platforms, fetch market data, execute trades, manage portfolios, and access account information programmatically.

    • Market Data: Real-time and historical prices, order books, trade volume, and related metrics.
    • Order Placement: Automated buying/selling, stop-loss, take-profit, and other order types.
    • Account Management: Retrieve balances, view transaction history, or monitor active positions and orders.

    This seamless integration supports the development of sophisticated trading strategies, algorithmic trading bots, portfolio trackers, and research analytics. The most widely adopted crypto trading APIs are those offered by Binance and Coinbase, two of the largest global exchanges.

    Getting Started with Binance API Trading

    Binance’s API is well-documented, robust, and supports diverse endpoints for both spot and futures markets.

    1. Create Your Binance Account: Ensure that your account is verified. Navigate to the Binance user center and access the API Management section.
    2. Generate API Keys: Label your key, complete security authentication, and note both your API key and secret. Keep these credentials secure and never share them publicly.
    3. API Permissions: Explicitly select only the API permissions needed (e.g., read-only for analytics, trading enabled for bots). Avoid enabling withdrawal unless absolutely necessary.
    4. Endpoints: The Binance REST API covers endpoints for market data (public), and trading/account management (private). It also offers a WebSocket API for real-time streams.

    Popular use cases for Binance API trading include automated execution of trading signals, quantitative strategy deployment, and real-time portfolio rebalancing. The official documentation is the go-to resource for development references. Consider open-source SDKs for Python, Node.js, and other languages to streamline integration.

    Unlocking the Power of the Coinbase API

    Coinbase provides comprehensive APIs for both its retail platform and Coinbase Advanced Trade (previously Coinbase Pro). These APIs are favored for their security and straightforward integration, especially in regulated environments.

    1. API Creation: Log in to your Coinbase account, go to API settings, and generate an API key. Set granular permissions for activities like account viewing or trading.
    2. Authentication: The Coinbase API uses a combination of API key, secret, and passphrase. All API requests must be authenticated for private endpoints.
    3. Endpoints & Features: The API allows retrieval of wallet balances, transaction histories, live price data, and supports programmatic trading. The Coinbase API documentation offers detailed guides and SDKs.

    Use the Coinbase API for automated dollar-cost averaging strategies, portfolio analytics, or to connect external research and trading tools to your account. Always apply IP whitelisting and two-factor authentication for heightened security.

    Key Challenges and Considerations in Automated Crypto Trading

    While APIs empower sophisticated trading automation, several technical and strategic considerations should be addressed:

    • API Rate Limits: Both Binance and Coinbase restrict the number of API calls per minute/hour. Exceeding limits can lead to throttling or IP bans, so efficient coding and request management are essential.
    • Security First: Secure storage of API keys, use of environment variables, and permission minimization are vital to prevent unauthorized access or loss of funds.
    • Handling Market Volatility: Automated trading bots must account for slippage, API latency, and unexpected market events.
    • Testing Environments: Utilize the exchanges’ testnet or sandbox APIs to validate strategies and avoid live-market risks during development.

    For more complex strategies, combining data from multiple APIs—including on-chain analytics and AI-powered research—can provide deeper insights and help navigate uncertain market conditions.

    Leveraging AI and Advanced Analytics for Crypto API Trading

    The real advantage of programmatic trading emerges when combining API connectivity with AI-driven analytics. Developers can harness APIs to fetch live data and feed it into machine learning models for signal generation, anomaly detection, or portfolio optimization. Tools like Python’s scikit-learn or TensorFlow—paired with real-time data from Binance, Coinbase, and third-party sources—enable dynamic strategy adjustments based on shifting market trends.

    AI agents and intelligent trading bots are increasingly built to interface directly with crypto APIs, processing complex data streams to execute trades or manage risk autonomously. Such systems benefit from robust backtesting, frequent monitoring, and a modular design to ensure security and compliance with exchange requirements.

    Build Smarter Crypto Apps & AI Agents with Token Metrics

    Token Metrics provides real-time prices, trading signals, and on-chain insights all from one powerful API. Grab a Free API Key

    FAQ: How Do Binance and Coinbase APIs Compare?

    Both Binance and Coinbase offer REST APIs, but Binance has broader asset coverage and advanced trading features, including futures and options support. Coinbase’s APIs prioritize security, are well-suited for U.S. users, and offer streamlined integration for both spot and advanced trade scenarios.

    FAQ: What Programming Languages Can Be Used for Crypto Trading APIs?

    Python, JavaScript/Node.js, and Java are the most popular choices for building automated trading bots due to the availability of SDKs and community support. Most modern APIs are RESTful and compatible with any language that can perform HTTP requests.

    FAQ: How Do I Keep My API Keys Secure?

    Best practices include storing API keys in environment variables, never exposing them in source code repositories, limiting permissions, and regularly rotating keys. Also, use IP whitelisting and two-factor authentication if supported by the exchange.

    FAQ: Can I Use Multiple Exchange APIs Together?

    Yes. Many advanced traders aggregate data and trade across several exchange APIs to increase liquidity access, compare prices, or diversify strategies. This often requires unifying different API schemas and handling each exchange’s unique rate limits and authentication protocols.

    FAQ: What Are the Risks of Automated Trading with Crypto APIs?

    Automated trading can lead to unintended losses if there are bugs in the code, API changes, or sudden market movements. Proper error handling, backtesting, and initial development in sandbox/testnet environments are key risk mitigation steps.

    Disclaimer

    This article is for informational and educational purposes only. It does not constitute investment advice or an offer to buy or sell any cryptocurrency. Always implement robust security practices and perform due diligence before integrating or deploying automated trading solutions.

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