Best Play to Earn Crypto Games for Passive Income in 2024

Crypto Basics

Best Play to Earn Crypto Games for Passive Income in 2024

Get the list of best play-to-earn crypto games for effortless passive income in 2024. Explore the best opportunities to start earning.

Marcus K

5 Minutes

MIN

Index

Overview of Solana Blockchain

In recent years, a new trend has emerged in the gaming industry - play to earn crypto games. These innovative games allow players to have fun and earn real money by participating in gameplay and achieving specific milestones.

With the rise of blockchain technology and the growing popularity of cryptocurrencies, play to earn games have gained significant traction among gamers worldwide.

The Rise of Play to Earn Crypto Games

Play to earn crypto games has revolutionized the traditional gaming landscape by introducing the concept of earning real-world value through gameplay.

Unlike traditional video games, where players are limited to in-game rewards and achievements, play to earn games offer tangible rewards in the form of cryptocurrencies and non-fungible tokens (NFTs). These rewards can be traded, sold, or exchanged for fiat currency.

The concept of play to earn games originated from the world of cryptocurrencies, where decentralized finance (DeFi) protocols incentivize users to participate and contribute to the network.

This concept was then integrated into the gaming industry, creating a new genre of games that combined entertainment with financial rewards.

How Play to Earn Games Work?

Play to earn games function through blockchain technology, which ensures transparency, security, and immutability. The game assets, such as characters, items, and in-game currencies, are tokenized as NFTs and stored on a blockchain.

It enables players to have true ownership over their in-game assets and the ability to trade or sell them on various marketplaces.

Players earn rewards in play to earn games by completing tasks, achieving goals, or participating in in-game competitions. These rewards are often in the form of cryptocurrencies, which can be staked, traded, or sold for profit. The earning potential in play to earn games is directly tied to the player's skill, dedication, and participation.

Top Play-to-Earn Crypto Games

A Play-to-Earn of play-to-earn crypto games are available in the market, each offering unique gameplay and earning opportunities. Let's take a closer look at some of the best play to earn games that have gained popularity among gamers:

1. Big Time

Big Time is a revolutionary role-playing game immersing players in the captivating world of Time’s End. Groups of six collaborate to undertake missions in dungeons, acquiring NFTs and tokens with substantial trading value.

The game's genesis aligns with blockchain-based gaming, focusing on an engaging and social experience without significant financial commitment. The esteemed development team includes figures from Decentraland and notable titles like Fortnite.

The fusion of immersive gameplay, cryptocurrency incentives, and an illustrious development team positions Big Time as a compelling prospect for gaming and digital asset enthusiasts.

2. Axie Infinity

Axie Infinity is a Pokemon-inspired game built on the Ethereum blockchain. In this game, players collect and breed digital creatures called Axies, which can be battled against other players.

Players earn Smooth Love Potion (SLP) tokens for winning battles, which can be traded for other cryptocurrencies or sold for fiat currency. Axie Infinity has gained a massive following and has become one of the most successful play to earn games to date.

3. The Sandbox

The Sandbox is a multiplayer metaverse game that allows players to create, own, and monetize their virtual worlds. Players can buy virtual land, build structures, create art, and even host events within their virtual space.

The Sandbox operates on the Ethereum and Polygon blockchains, and players can earn the game's native token, SAND, by participating and contributing to the ecosystem.

4. Decentraland

Decentraland is a virtual reality platform where players can explore, interact, and create their own digital experiences. Players can buy virtual land, build and monetize their creations, and engage in social activities with other players.

Decentraland operates on the Ethereum blockchain, and players can earn the game's native token, MANA, by participating in events and games or trading virtual assets.

5. Splinterlands

Splinterlands is a trading card game that allows players to collect, trade, and battle with digital cards. Each card is represented as an NFT, and players can earn in-game rewards by winning battles and completing quests.

Splinterlands operates on the HIVE and WAX blockchains, and players can trade their digital cards for other cryptocurrencies or sell them on various marketplaces.

6. Illuvium

Illuvium is an open-world adventure game where players capture and battle mythical creatures called Illuvials. Players can earn the game's native token, ILV, by completing quests, battling other players, and participating in in-game events. Illuvium offers a unique gameplay experience and has gained attention for its stunning visuals and immersive storytelling.

7. Revv Racing

Revv Racing is a multiplayer racing game that combines arcade-style gameplay with blockchain technology. Players can collect and race NFT cars, participate in tournaments, and earn rewards for their performance. Revv Racing operates on the Ethereum blockchain, and players can trade their NFT cars on various marketplaces.

8. Battle of Guardians

Battle of Guardians is a real-time multiplayer game where players battle with mythical creatures in epic battles. Players can earn the game's native token, BGS, by participating in battles, completing quests, and achieving high ranks.

Battle of Guardians operates on the Solana and Binance Smart Chain blockchains, and players can trade their in-game assets for other cryptocurrencies or sell them on supported marketplaces.

9. My Neighbor Alice

My Neighbor Alice is a farming-based game where players can own virtual land, cultivate crops, and interact with other players. Players can earn rewards by participating in farming activities and trading virtual assets on the game's marketplace.

My Neighbor Alice operates on the Chromia blockchain, and players can earn the game's native token, ALICE, by contributing to the game's ecosystem.

The Future of Play to Earn Crypto Games

Play to earn crypto games has witnessed tremendous growth in recent years, and the trend is expected to continue in the future. As blockchain technology becomes more mainstream and cryptocurrencies gain wider adoption, play to earn games are likely to attract more players and offer even more lucrative earning opportunities.

The integration of blockchain technology provides players with true ownership and control over their in-game assets, creating a sense of value and empowerment.

Moreover, play to earn games offer a unique opportunity for players to monetize their gaming skills and dedication, bridging the gap between the virtual and real worlds.

In conclusion, play to earn crypto games have brought a new dimension to the gaming industry, allowing players to have fun and make real money simultaneously.

With a wide range of games available across different genres and blockchain platforms, players have ample opportunities to explore and participate in this exciting and profitable gaming trend. So, why not dive into the world of play to earn games and start earning while doing what you love?

Disclaimer

The information provided on this website does not constitute investment advice, financial advice, trading advice, or any other advice, and you should not treat any of the website's content as such.

Token Metrics does not recommend buying, selling, or holding any cryptocurrency. Conduct your due diligence and consult your financial advisor before making investment decisions.

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

Token Metrics Team

MIN

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.

Key Trends for 2025: Making the Right Choice for Your Bot

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.

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

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.

Research

Avoid These Common Pitfalls When Creating Your First Crypto Trading Bot

Token Metrics Team

MIN

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.

Research

Mastering Binance & Coinbase APIs for Automated Crypto Trading

Token Metrics Team

MIN

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.

Create Your Binance Account: Ensure that your account is verified. Navigate to the Binance user center and access the API Management section.
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.
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.
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.

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.
Authentication: The Coinbase API uses a combination of API key, secret, and passphrase. All API requests must be authenticated for private endpoints.
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.

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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.

Token Metrics Media LLC is a regular publication of information, analysis, and commentary focused especially on blockchain technology and business, cryptocurrency, blockchain-based tokens, market trends, and trading strategies.

Token Metrics Media LLC does not provide individually tailored investment advice and does not take a subscriber’s or anyone’s personal circumstances into consideration when discussing investments; nor is Token Metrics Advisers LLC registered as an investment adviser or broker-dealer in any jurisdiction.

Information contained herein is not an offer or solicitation to buy, hold, or sell any security. The Token Metrics team has advised and invested in many blockchain companies. A complete list of their advisory roles and current holdings can be viewed here: https://tokenmetrics.com/disclosures.html/

Token Metrics Media LLC relies on information from various sources believed to be reliable, including clients and third parties, but cannot guarantee the accuracy and completeness of that information. Additionally, Token Metrics Media LLC does not provide tax advice, and investors are encouraged to consult with their personal tax advisors.

All investing involves risk, including the possible loss of money you invest, and past performance does not guarantee future performance. Ratings and price predictions are provided for informational and illustrative purposes, and may not reflect actual future performance.

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