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Stop Guessing, Start Trading: The Token Metrics API Advantage

Announcements

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

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

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

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

Getting started with the Token Metrics API is simple:

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

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

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

Research

What's the Future of Tokenized Real Estate? Market Analysis & Predictions (2025)

Token Metrics Team
8
MIN

The real estate industry is on the cusp of a transformative revolution, arguably the most significant since the advent of Real Estate Investment Trusts (REITs). At the heart of this change is tokenized real estate—an innovative approach that converts physical property ownership into blockchain-based digital tokens. This breakthrough is reshaping how investors access, trade, and profit from one of the largest asset classes globally. With projections indicating that the tokenized real estate market could surge from $3.5 billion in 2024 to an astounding $4 trillion by 2035, understanding what's the future of tokenized real estate is essential for investors seeking to stay ahead in the evolving landscape of property investment.

The Explosive Growth Trajectory

The growth trajectory of tokenized real estate is nothing short of remarkable. Industry analyses forecast that the global real estate tokenization market will expand at a compound annual growth rate (CAGR) of 21% from 2024 through 2033, climbing from $3.5 billion to $19.4 billion within that period. Even more optimistic projections by Deloitte suggest this market could reach $4 trillion by 2035, reflecting a CAGR of 27%. By 2030, tokenized real estate is expected to account for approximately 15% of all real estate assets under management worldwide. Far from being a niche experiment, tokenized real estate is rapidly becoming a mainstream investment vehicle. This growth is democratizing access to real estate—a sector traditionally dominated by high net worth individuals and institutional investors—by enabling broader participation through digital tokens and fractional ownership.

Why Tokenization Is Reshaping Real Estate Investment

Breaking Down Barriers to Entry

Traditional real estate investment has long been characterized by substantial capital requirements, illiquidity, and complex transaction processes. These factors have often excluded retail investors and smaller participants from meaningful property ownership. However, real estate tokenization platforms are radically altering this dynamic by enabling investors to buy fractional ownership in rental properties and commercial space with minimal capital—sometimes as low as $50.

This fractional ownership model empowers investors to diversify their real estate portfolios across multiple properties, geographic regions, and asset classes without the traditional burden of substantial minimum investment requirements. Instead of concentrating substantial capital in one or two physical assets, investors can now build balanced real estate portfolios, mitigating risk and enhancing potential returns.

Solving the Liquidity Problem

One of the most significant challenges in traditional property investment has been illiquidity. Selling physical property often involves lengthy processes, high transaction costs, and regulatory hurdles, making real estate a relatively illiquid asset class. Tokenized real estate addresses this by transforming property ownership into digital tokens that can be traded on secondary markets.

Though liquidity in tokenized real estate is still maturing compared to traditional financial instruments, platforms such as RealT and Lofty have pioneered 24/7 secondary market trading for tokenized properties. This development provides investors with unprecedented flexibility, allowing them to buy and sell fractional real estate interests more efficiently and with reduced transaction costs.

Operational Efficiency and Cost Reduction

Tokenization leverages blockchain technology and smart contracts to streamline the operational aspects of real estate investing. By automating processes such as dividend distributions, ownership transfers, and compliance checks, tokenization reduces reliance on intermediaries like brokers and escrow agents. This automation not only cuts administrative expenses but also expedites settlement times, enhancing overall market efficiency.

Smart contracts—self-executing agreements encoded on the blockchain—play a critical role in this transformation. They ensure transparency, enforce contractual terms automatically, and minimize human error, thereby fostering greater trust and reducing the risk of disputes in property transactions.

Institutional Adoption Drives Mainstream Acceptance

The transition of tokenized real estate from an experimental concept to mainstream investment is being propelled by significant institutional adoption. As of mid-2024, approximately 12% of real estate firms globally have integrated tokenization solutions into their operations, while another 46% are actively piloting such programs. This widespread interest signals a growing commitment by major financial institutions, asset managers, and real estate firms to embrace tokenization infrastructure.

Investor sentiment further underscores this trend, with projections indicating that institutional investors may allocate between 7% and 9% of their portfolios to tokenized assets by 2027. Notable initiatives, such as Kin Capital’s $100 million real estate debt fund launched on blockchain platforms, demonstrate that tokenized real estate is expanding beyond residential properties into commercial real estate and sophisticated financial instruments.

The Technology Infrastructure Evolving Rapidly

Platform Proliferation

The technological backbone supporting tokenized real estate is evolving at a rapid pace. In 2023 alone, the number of real estate tokenization platforms worldwide surged by 75%, reflecting growing demand and innovation. Various blockchain networks—including Ethereum, Solana, Tezos, and specialized real estate blockchains—are competing to become the preferred infrastructure for asset tokenization.

These platforms not only facilitate the creation and management of digital tokens representing real estate assets but also provide tools for investor onboarding, compliance, and secondary market trading, enhancing both accessibility and security.

Regulatory Frameworks Maturing

A critical factor influencing the future of tokenized real estate is the maturation of the regulatory landscape. Historically, regulatory uncertainty has hindered widespread adoption, as jurisdictions grappled with classifying digital tokens and defining legal frameworks for asset tokenization. However, 2025 marks a turning point. The European Union’s Markets in Crypto-Assets (MiCA) regulation offers clear guidelines for tokenized assets, providing a more predictable environment for investors and issuers. Similarly, jurisdictions such as Dubai, Singapore, and Luxembourg are establishing dedicated regulatory frameworks tailored to real estate tokenization, balancing investor protection with innovation. These regulatory advances are essential for fostering investor confidence, ensuring market integrity, and enabling institutional investors to participate more fully in tokenized real estate investments.

Navigating the Challenges Ahead

Liquidity Still Developing

While tokenized real estate improves liquidity relative to traditional property investment, secondary markets remain fragmented. Tokens are often traded primarily within the platforms where they were issued, limiting liquidity and investor reach. Additionally, bid-ask spreads can be wide for less popular tokenized properties, affecting pricing efficiency.

Efforts to enhance token interoperability across different blockchains and integrate tokenized assets with traditional financial systems are underway but have yet to achieve mainstream adoption.

Regulatory Complexity

The evolving legal landscape presents compliance challenges, especially for platforms operating across multiple jurisdictions with varying rules regarding blockchain, securities, and property ownership. This regulatory patchwork can restrict the geographic availability of tokenized real estate offerings and complicate cross-border transactions.

Technology and Security Risks

Tokenized real estate relies heavily on blockchain technology and smart contracts, which are not immune to vulnerabilities. Smart contract bugs, network outages, and cybersecurity threats pose risks to investor capital and market confidence. Robust security measures, comprehensive insurance products, and diligent due diligence are vital to mitigate these risks.

Valuation Challenges

Accurately valuing tokenized real estate assets remains complex, particularly in volatile markets. The real-time pricing enabled by tokenization introduces new dynamics that differ from traditional real estate valuation methods. Investors must adapt their risk management and investment strategies to account for these fluctuations.

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The Future Landscape: What to Expect

Integration with DeFi Ecosystems

The future of tokenized real estate includes deeper integration with decentralized finance (DeFi) protocols. Property tokens will increasingly serve as collateral for loans, be incorporated into yield-generating strategies, or be bundled into structured financial products. This composability unlocks new investment possibilities and enhances capital efficiency.

Sustainability and ESG Tracking

Blockchain’s transparency enables real-time monitoring of environmental, social, and governance (ESG) metrics for properties. Investors focused on sustainable and socially responsible investments can verify ESG claims on-chain, directing capital toward green buildings and socially beneficial developments.

Global Market Access

Tokenized real estate dissolves geographic barriers, allowing investors from Tokyo to own fractions of properties in New York, London, or Dubai simultaneously. This global access facilitates diversification across markets and currencies, previously unattainable for many retail investors.

NFT Integration

Non-fungible tokens (NFTs) are expanding beyond digital art into real estate applications. Properties linked with digital NFTs have experienced a 30% increase in customer inquiries, and by 2025, it is estimated that 20% of real estate transactions may involve NFTs. This integration creates innovative engagement models and novel investment opportunities.

Positioning for the Tokenization Wave

The future of tokenized real estate is not a distant speculation—it is unfolding now. With market sizes projected to range from $3 trillion to $13 trillion over the next decade, this represents one of the most significant wealth creation opportunities in modern financial history.

To position oneself successfully in this emerging asset class, investors should focus on:

  • Education: Gaining a solid understanding of blockchain technology, smart contracts, and the mechanics of real estate tokenization.
  • Platform Selection: Choosing reputable, compliant real estate tokenization platforms with proven track records.
  • Analytics: Leveraging advanced tools like Token Metrics to evaluate investment opportunities and manage risk effectively.
  • Diversification: Building balanced portfolios that blend traditional property investments with tokenized assets.
  • Patience: Recognizing that while growth is rapid, infrastructure, regulatory frameworks, and market maturity continue to evolve.

For investors ready to embrace this technological shift, tokenized real estate offers unparalleled access to the stability and income potential of physical property combined with the innovation, accessibility, and efficiency of blockchain technology. The future of tokenized real estate is bright, promising to redefine property investment and open the doors to a broader, more inclusive financial ecosystem.

Research

Should I Invest in Crypto or Web3 Companies? A 2025 Investment Guide

Token Metrics Team
7
MIN

The landscape of cryptocurrency and Web3 has evolved dramatically in recent years, offering investors an expanding array of opportunities within the digital economy. As we navigate through October 2025, with Bitcoin trading above $124,000 and the total crypto market capitalization exceeding $4.15 trillion, many investors face a critical question: should I invest in crypto or Web3 companies? The reality is that both options present compelling potential, and understanding their differences, risks, and benefits is essential for making an informed investment decision.

Introduction to Web3 and Crypto

Web3, often referred to as the decentralized web, represents the next evolution of the world wide web—one that empowers internet users with greater control, privacy, and ownership of their digital assets. Unlike traditional internet platforms controlled by centralized entities, Web3 leverages blockchain technology to create decentralized networks and applications. This shift enables users to interact, transact, and store digital assets in a more secure and transparent environment.

At the core of the Web3 movement is the crypto ecosystem, which includes a wide range of crypto assets such as cryptocurrencies and non-fungible tokens (NFTs). Built on blockchain technology, these digital assets facilitate peer-to-peer transactions without intermediaries. As internet users seek innovative investment options, decentralized apps and networks are gaining popularity for their ability to offer new ways to invest, earn, and participate in the digital economy.

History and Evolution

The journey of Web3 began in 2014 when Gavin Wood, co-founder of Ethereum, introduced the concept as a vision for a more open and user-centric internet. Since then, the decentralized ecosystem has experienced rapid growth, fueled by blockchain technology and the emergence of unique digital assets. This foundation has enabled the development of decentralized applications (dApps) and new investment avenues previously unimaginable.

Recently, focus has shifted from centralized platforms to decentralized networks, giving users unprecedented control over data and assets. For example, decentralized finance (DeFi) has revolutionized crypto asset investment, offering innovative technologies that bypass traditional financial intermediaries. This progression has expanded investment opportunities and empowered users to participate directly in the digital economy.

Understanding the Ecosystem

Navigating the Web3 ecosystem requires a clear understanding of its main components, including digital currencies, dApps, and blockchain networks. For investors entering crypto, it’s vital to recognize that the ecosystem is multifaceted and constantly evolving. Digital assets range from established cryptocurrencies to innovative tokens powering decentralized platforms.

Conducting thorough research and staying updated on emerging trends are crucial for effective investment outcomes. Artificial intelligence increasingly supports Web3 projects by validating transactions, enhancing security, and improving user experience across platforms. Understanding how these technologies interact within the broader crypto ecosystem allows investors to make more informed decisions and capitalize on new opportunities.

Understanding the Current Investment Landscape

The crypto market has matured significantly, demonstrating institutional adoption, clearer regulations, and sustained growth. Bitcoin recently surpassed $120,000, driven by institutional interest through ETFs and macroeconomic factors. Ethereum’s performance also exhibited resilience, climbing from around $3,500 to over $4,200 in Q3 2025.

Meanwhile, the Web3 sector—including blockchain infrastructure, dApps, and internet tech—has grown impressively. By mid-2025, market capitalization of Web3 companies exceeded $62.19 billion, with forecasts surpassing $65 billion by 2032. This parallel expansion indicates robust opportunities in both cryptocurrencies and Web3 companies, enhancing the appeal of diversified investment approaches.

The Case for Direct Cryptocurrency Investment

Investing directly in cryptocurrencies provides exposure to digital assets lacking intermediary fees or corporate overhead. Buying tokens like Bitcoin or Ethereum offers potential for price appreciation and control over assets secured in digital wallets.

Cryptocurrency exchanges serve as primary platforms, ensuring liquidity and security. Current forecasts anticipate Bitcoin trading in the range of $80,440 to $151,200 in 2025, supported by institutional interest from firms like BlackRock and Fidelity. Crypto markets operate 24/7, enabling rapid responses to market shifts.

The growing Web3 crypto job market, which surged 300% from 2023 to 2025, reflects real economic activity. Platforms like Token Metrics support this approach by providing AI-powered analytics, real-time data, and integrated trading tools—making digital asset research and management more accessible for investors.

The Case for Web3 Company Investment

Investing in Web3 companies involves acquiring equity in firms developing infrastructure and platforms for the decentralized web. Instead of holding tokens, investors gain exposure through stocks like Coinbase, valued at nearly $58 billion, which has appreciated over 313% in the past year.

Technology giants such as Nvidia, with a market cap above $3 trillion, benefit from Web3 growth through computing hardware critical for blockchain mining and AI. Web3 stocks often offer diversification within the tech sector. ETFs focusing on Web3 companies provide diversified exposure without selecting individual stocks, though single-stock risks remain.

Regulatory Considerations: A Turning Point

The regulatory landscape has become more favorable for cryptocurrencies and Web3 firms, with bipartisan support in Congress and new legislation like the GENIUS Act of July 2025 establishing clearer rules for stablecoins and digital assets. This clarity fosters a more secure environment for investments, building confidence in the industry’s longevity and sustainability.

Risk Considerations and Portfolio Strategy

Investments in crypto and Web3 stocks carry distinct risks. Crypto assets face high volatility, security challenges with wallets, and technical complexities. Effective security practices, device management, and continuous research are essential to mitigate these risks.

Web3 stock investments involve considerations such as market execution risk, competition, and broader economic fluctuations. A blended portfolio—including both digital assets and equities—can optimize potential returns while diversifying risks.

Platforms like Token Metrics offer tools for risk management, including automation, analytics, and portfolio monitoring—helping investors navigate volatility with data-driven insights.

Emerging Opportunities: DeFi, Gaming, and Tokenization

The Web3 landscape is expanding with decentralized finance (DeFi), gaming, and tokenization. DeFi enables lending, borrowing, and trading without intermediaries, while Web3 gaming has seen a 60% rise in active users. The tokenization market, representing real-world assets on blockchain, has grown by about 23%, creating new investment niches in art, real estate, and securities.

Success Stories

Bitcoin’s growth from a niche experiment to a trillion-dollar asset exemplifies the decentralized financial revolution. Ethereum has facilitated the development of smart contracts and dApps, fueling innovation in multiple sectors. NFTs have revolutionized digital ownership, empowering artists and creators to monetize unique digital assets. These success stories highlight the evolving potential and inherent risks of investing in decentralized assets.

Making Your Investment Decision

Choosing between crypto and Web3 stocks depends on your investment timeline, risk tolerance, technical knowledge, and goals. Cryptocurrencies may offer faster appreciation but demand active management; stocks tend to provide steadier, long-term growth. A diversified approach combining both strategies can help balance potential upside with risk management.

Investment Tips

  • Conduct thorough research before investing—understand the technology, team, and use case.
  • Diversify across assets and platforms to reduce risk.
  • Set a clear budget and only invest what you can afford to lose.
  • Explore DeFi and other emerging technologies for additional opportunities.
  • Stay informed on latest trends and regulatory developments to make timely decisions.

The Bottom Line

In 2025, both cryptocurrencies and Web3 company stocks present significant opportunities within the growing digital economy. Market maturation, clearer regulations, and technological advances support sustained growth. A diversified portfolio, combined with advanced tools like Token Metrics, can help investors navigate this complex landscape effectively. As the Web3 ecosystem continues to expand, the key question shifts from whether to invest into how to do so wisely to maximize opportunities and manage risks in this evolving digital frontier.

Research

How Do I Calculate Capital Gains on Crypto: Complete 2025 Tax Guide

Token Metrics Team
13
MIN

As cryptocurrency becomes increasingly mainstream, knowing how do I calculate capital gains on crypto is essential for every investor. The IRS treats cryptocurrency as property rather than currency, meaning each trade, sale, or purchase of crypto triggers a taxable event that must be carefully documented. This means that cryptocurrency is taxed similarly to other forms of property, with gains and losses reported for each transaction. This article serves as a comprehensive crypto tax guide, helping you understand how to accurately calculate your crypto capital gains so you can manage your tax bill effectively and avoid costly compliance issues.

Understanding Crypto Capital Gains Basics

Capital gains on cryptocurrency arise when you sell, trade, or spend your crypto for more than you originally paid. At its core, the calculation is straightforward: your proceeds (sale price) minus your cost basis (purchase price) equals your capital gain or loss. These gains are subject to crypto capital gains tax. However, the reality is far more complex, especially for active traders who manage multiple positions across various exchanges and wallets.

The IRS distinguishes between short-term capital gains and long-term capital gains based on how long you hold your crypto assets. If you hold your cryptocurrency for one year or less, any gains are considered short-term and taxed at your ordinary income tax rates, which range from 10% to 37% depending on your total taxable income. Conversely, assets held for more than one year qualify for preferential long-term capital gains tax rates of 0%, 15%, or 20%, based on your income and filing status. How crypto is taxed depends on the holding period and whether the gain is classified as short-term or long-term, so understanding how crypto taxed applies to your transactions is essential. This distinction can create significant tax planning opportunities for investors who strategically time their sales.

The Capital Gains Calculation Formula

To calculate crypto capital gains accurately, you need three critical pieces of information for each transaction: your cost basis, your proceeds, and your holding period. Your cost basis is the original purchase price of your crypto, including any transaction fees directly related to the purchase. Proceeds are the amount you receive when you dispose of the crypto, minus any fees related to the sale. The difference between your proceeds and cost basis is your taxable gain, which is the amount subject to capital gains tax.

For example, imagine you bought 1 Bitcoin in June 2024 for $70,000 and sold it four months later for $80,000. Your capital gain is $80,000 minus $70,000, or $10,000. This $10,000 is your taxable gain and must be reported for bitcoin taxes. Since you held the Bitcoin for less than a year, this gain is short-term and taxed at your ordinary income tax rate. If your annual income is $85,000, your total taxable income becomes $95,000, placing you in the 24% federal tax bracket for 2024. This means you owe approximately $2,400 in federal taxes on that gain.

If you instead held the Bitcoin for 13 months before selling, the $10,000 gain qualifies for long-term capital gains treatment. With the same income, your tax rate on the gain would be 15%, resulting in a $1,500 tax bill—a $900 savings just by holding the asset longer.

Why Crypto Tax Calculations Get Complicated

While the basic formula seems simple, real-world crypto investing introduces many complexities. Take Sarah, an investor who bought Bitcoin at various prices: $5,000, $10,000, $15,000, and $20,000. When she sells part of her holdings, which purchase price should she use to calculate her cost basis?

This question highlights the importance of selecting a cost basis method. The IRS permits several approaches: FIFO (First In, First Out) uses the oldest purchase price; LIFO (Last In, First Out) uses the most recent purchase price; and HIFO (Highest In, First Out) uses the highest purchase price to minimize gains. These are all different cost basis methods, and the accounting method you choose can significantly affect your tax liability.

Complications also arise from trading on multiple exchanges and moving crypto between different wallets. Most investors don’t stick to one platform—they might buy on Coinbase, trade on Binance, stake on other platforms, and transfer assets between wallets. Each platform maintains separate transaction records, and consolidating these into a complete transaction history is like assembling a complex puzzle. Tracking your crypto cost basis for each asset is crucial, especially when dealing with multiple transactions across different platforms.

Taxable Events Beyond Simple Sales

Calculating capital gains on crypto involves more than just selling for fiat currency. Several other actions involving digital assets are considered taxable events from a tax perspective, each representing a type of crypto transaction:

  • Trading one cryptocurrency for another (e.g., swapping Bitcoin for Ethereum) is a crypto trade and triggers capital gains taxes, requiring you to calculate gains on the disposed digital asset.
  • Selling crypto for fiat currency is a crypto transaction that counts as a disposal event. For tax purposes, you must calculate the difference between your cost basis and the fair market value of the digital asset at the time of the transaction.
  • Spending crypto on goods or services is another form of crypto transaction and counts as a disposal. You must calculate the difference between your cost basis and the fair market value at the time of the transaction.
  • Receiving cryptocurrency as crypto income—from mining rewards, staking, airdrops, or employment compensation—creates ordinary income taxable at your income tax rate. The fair market value at receipt establishes your cost basis for future capital gains calculations.

You owe capital gains tax whenever you dispose of or convert digital assets through these types of crypto transactions. The tax treatment of each event depends on the nature of the transaction, and the IRS provides specific guidance on how to report and classify these activities.

Not all crypto activities generate taxable events. Simply buying and holding digital assets doesn’t trigger a tax bill until you dispose of them. Transferring crypto between your own wallets is also non-taxable, though keeping detailed records of these crypto transactions is vital to track your cost basis accurately. Additionally, gifting crypto under the annual gift tax exclusion (set at $19,000 per recipient for 2025) doesn’t create taxable gains for the giver, but the recipient inherits the giver's cost basis (the original purchase price and acquisition date) for tax purposes. Proper documentation of the giver's cost basis is important for future tax reporting. The tax treatment of gifts and other crypto transactions should always be considered from a tax perspective to ensure compliance.

Crypto Income and Tax Implications

Crypto income encompasses a range of earnings from activities like mining, staking, airdrops, and earning interest through crypto lending platforms. For tax purposes, the IRS treats all these forms of crypto income as ordinary income, meaning they are taxed at your regular income tax rates based on your total taxable income. The key factor in determining your tax bill is the fair market value of the crypto assets at the time you receive them. For example, if you receive $1,000 worth of Bitcoin as a mining reward, you must report that $1,000 as taxable income on your tax return for the year.

Accurate reporting of crypto income starts with maintaining a complete transaction history. You should record the date, time, amount, and fair market value of each crypto asset received. This information is essential for calculating your tax liability and ensuring your tax return is accurate. Using tax software or a crypto tax calculator can greatly simplify this process by automatically importing your transaction data from exchanges and wallets, calculating your gains and losses, and generating a comprehensive tax report.

Beyond mining and staking rewards, other types of crypto income—such as interest from lending platforms or profits from trading—are also subject to crypto tax. Each of these activities can have unique tax implications, so it’s wise to consult a tax professional or use specialized tax software to ensure you’re following IRS rules and reporting all taxable income correctly. By understanding how crypto income is taxed and taking steps to accurately calculate and report it, you can avoid unexpected tax bills and minimize your overall tax liability.

Leveraging Token Metrics for Accurate Tracking

Given the complexities of calculating crypto capital gains across multiple exchanges, wallets, and hundreds of transactions, having robust tracking tools is essential. This is where Token Metrics, a leading crypto trading and analytics platform, comes into play.

Token Metrics provides comprehensive portfolio tracking by aggregating your positions across exchanges and wallets, giving you real-time visibility into your entire crypto portfolio. This unified view simplifies the daunting task of compiling transaction records from disparate sources—a critical first step in accurate tax calculation. Organizing your transactions by tax year is essential for proper reporting and ensures you meet IRS deadlines for each tax year.

Beyond tracking, Token Metrics offers advanced analytics that empower investors to make tax-efficient trading decisions year-round, rather than scrambling during tax season. By understanding your current cost basis, holding periods, and potential tax implications before executing trades, you can optimize timing to minimize your tax liability. The platform’s insights help you plan around the one-year holding period that distinguishes short-term from long-term capital gains rates.

For active traders with complex portfolios, Token Metrics provides detailed performance attribution and reconstructs your cost basis accurately. Its reporting features generate comprehensive documentation to support your tax calculations, which is crucial for IRS compliance and audit defense. Token Metrics helps users report crypto transactions accurately and assists in reporting crypto gains for tax compliance, making it easier to meet regulatory requirements.

Token Metrics also aids in identifying opportunities for tax-loss harvesting, a strategy where you sell depreciated assets to realize losses that offset capital gains. By clearly showing which positions are underwater and by how much, the platform enables strategic loss realization that reduces your overall tax bill while maintaining your desired market exposure. Tools like Token Metrics are invaluable for managing cryptocurrency taxes and streamlining the entire tax preparation process.

Resolving Missing Cost Basis

Missing cost basis is a common challenge for crypto investors, especially those who have been active in the market for several years or have moved assets between multiple wallets and exchanges. The cost basis is the original purchase price of your crypto asset, including any transaction fees. Without this information, it becomes difficult to accurately calculate your capital gains or losses when you sell, trade, or otherwise dispose of your crypto.

To resolve missing cost basis, start by gathering as much information as possible about the original transaction. Check your exchange records, wallet transaction histories, and any other documentation that might indicate the purchase price, date, and amount of the crypto asset. If you’re unable to locate the original purchase price, some tax software can help estimate your cost basis based on available transaction records. However, using an estimated cost basis can be risky, as the IRS may scrutinize these calculations during an audit.

Maintaining accurate and complete transaction records is the best way to avoid missing cost basis issues in the future. Tax software like Token Metrics can help you track and calculate cost basis for each crypto asset, generate a detailed tax report, and ensure you’re prepared for tax season. If you’re unsure about how to calculate cost basis or need to estimate it due to missing information, consulting a tax professional is highly recommended. By resolving missing cost basis issues and keeping thorough records, you can accurately calculate your capital gains, comply with IRS rules, and minimize your tax liability.

Tax-Loss Harvesting and Strategic Planning

There are a few strategies you can use to reduce your tax bill when dealing with cryptocurrency. These include tax-loss harvesting, holding assets for long-term gains, and careful planning of your transactions.

Capital losses can be a powerful tool for managing your tax bill. You can use capital losses to offset capital gains dollar-for-dollar, lowering your taxable income. If your losses exceed your gains, you can deduct up to $3,000 of net capital loss against ordinary income each year, with remaining losses carrying forward to future tax years.

Savvy investors practice tax-loss harvesting throughout the year, especially during market downturns. This approach is similar to strategies used for traditional investments like stocks. By selling depreciated positions to realize losses, they generate tax deductions and may repurchase similar assets to maintain exposure. It’s important to note that the IRS wash sale rule, which disallows losses on securities repurchased within 30 days, currently does not apply to cryptocurrency, though proposed regulations could change this.

You are required to pay taxes on gains from crypto activities, including trading, selling, or spending your crypto. Holding crypto for over a year before selling can substantially reduce your tax liability. The difference between ordinary income tax rates (up to 37%) and long-term capital gains rates (max 20%) can save tens of thousands of dollars on large gains. Patient investors who plan their sales strategically can significantly lower their tax liability.

If you mine cryptocurrency or operate as a self-employed individual, you may also be subject to self employment tax, which includes social security contributions, in addition to income and capital gains taxes.

Record Keeping and Reporting Requirements

Starting in 2025, cryptocurrency exchanges are required to report your transactions and wallet addresses directly to the IRS, making meticulous record keeping for all your digital assets more important than ever. You must maintain detailed documentation including transaction dates, amounts, fair market values at transaction time, involved parties, and the purpose of each transaction.

For tax reporting, you’ll use IRS Form 8949 to report your capital gains and losses, transferring totals to Schedule D. Income from mining, staking, or business activities, such as operating a crypto mining business, is reported on Schedule 1 or Schedule C. Due to the complexity of these forms, many investors rely on tax preparation software or consult a tax professional to ensure accuracy.

Platforms like Token Metrics simplify this process by maintaining a complete transaction history and providing organized reports ready for tax filing. Instead of manually reconstructing hundreds or thousands of transactions from multiple exchanges and wallets, you get centralized, accurate records that streamline your tax return preparation.

State Taxes and Additional Considerations

Federal taxes are only part of your overall tax obligation. Depending on your state of residence, you may owe additional state taxes on your crypto gains. States such as California, New York, and New Jersey impose significant taxes on investment income, while others like Texas, Florida, and Nevada have no state income tax. Your total tax liability is the sum of your federal and state obligations, so it’s important to understand your local tax rules.

Conclusion

Learning how do I calculate capital gains on crypto is crucial to managing your cryptocurrency investments responsibly and minimizing your tax burden. Calculating capital gains requires understanding IRS rules, maintaining detailed records, selecting appropriate accounting methods, and planning around holding periods and loss harvesting.

The complexity of cryptocurrency taxation, especially for active traders, makes reliable analytics and reporting tools indispensable. Token Metrics offers the comprehensive tracking, analysis, and reporting capabilities you need to navigate crypto taxes confidently. Its real-time portfolio visibility, accurate cost basis calculations, and tax-efficient trading insights transform the daunting task of crypto tax compliance into a manageable process.

As IRS enforcement intensifies and cryptocurrency tax regulations evolve, having sophisticated tools and accurate data becomes more valuable than ever. Whether you’re a casual investor with a few transactions or an active trader managing complex portfolios, understanding how to calculate capital gains correctly—and leveraging platforms like Token Metrics—protects you from costly errors while optimizing your tax position.‍

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Build AI-Powered Crypto Trading Bots in Minutes: Token Metrics Partners with Cline for Seamless Crypto API Integration

Token Metrics Team
8 min
MIN

Combine the Best Crypto API with Cline’s AI Coding Environment to Automate Smarter Trades—Faster

The world of crypto development just leveled up.

We're excited to announce a powerful new integration between Token Metrics and Cline (via the Roo Code extension)—bringing together the most advanced crypto API on the market and an AI-native coding environment purpose-built for building and testing crypto trading bots.

This partnership unlocks the ability to rapidly prototype, test, and launch intelligent trading strategies using real-time data from Token Metrics directly inside Cline, making it easier than ever for developers and traders to build in the crypto economy.

In this post, we’ll show you exactly how this works, walk through a working example using the Hyperliquid token, and explain why Token Metrics is the best crypto API to use with Cline for next-gen trading automation.

What Is Cline (Roo Code)?

Cline is an AI-first coding assistant designed to turn ideas into code through conversational prompts. With the Roo Code extension in Visual Studio Code, Cline transforms your IDE into an AI-native environment, allowing you to:

  • Write and debug code using natural language
  • Chain tools and APIs together with zero setup
  • Backtest and optimize strategies within a single flow

By integrating Token Metrics’ cryptocurrency API through its MCP (Multi-Client Protocol) server, developers can access real-time grades, trading signals, quant metrics, and risk insights—all through AI-driven prompts.

This combo of live crypto data and AI-native coding makes Cline one of the fastest ways to build trading bots today.

What Is Token Metrics MCP & API?

The Token Metrics API is the ultimate toolkit for crypto developers. It's a high-performance, developer-focused crypto API that gives you:

  • AI-powered Trader & Investor Grades
  • Buy/Sell Signals for bull/bear market detection
  • Support & Resistance Levels
  • Sentiment Analysis
  • Quantitative Metrics including ROI, performance vs. BTC, and more
  • Full Token Reports & Rankings

These features are now accessible via the MCP server—a gateway that standardizes access to Token Metrics data for AI agents, bots, dashboards, and more.

Whether you’re building a Telegram bot, a trading terminal, or a portfolio optimizer, the Token Metrics MCP setup with Cline makes it seamless.

Step-by-Step: Build a Trading Bot in Cline Using Token Metrics

Here’s a walkthrough of how you can build a complete AI-powered trading bot using Cline and the Token Metrics API.

1. Set Up Your Project in Visual Studio Code

Open VS Code and click “Open Folder.” Name your project something fun—like “Hype Bot.”
Then go to the Extensions tab, search for “Roo Code” (the advanced version of Cline), and install it.

2. Connect to the Token Metrics MCP Server

Once installed:

  • Click the MCP icon in the sidebar.
  • Choose “Edit Global MCP.”
  • Visit the official Token Metrics MCP Instructions and copy the full configuration block.
  • Paste it into your global MCP settings in Cline.

🎉 Now your environment is live, and you’re connected to the best crypto API on the market.

3. Explore the API with a Prompt

Inside Cline, simply prompt:

“Explore the Token Metrics API and analyze the Hyperliquid token.”

In seconds, the agent fetches and returns detailed insights—including investor grade, sentiment shifts, trading volume, and support/resistance levels for Hyperliquid. It even detects patterns not visible on typical trading platforms.

4. Generate a Trading Strategy

Next prompt:

“Create a trading strategy using this data.”

The agent responds with a full Python trading script based on AI signals from the API—complete with buy/sell logic, thresholds, and data pipelines.

5. Run Backtests and Analyze Performance

Cline automatically generates a backtest file and plots a performance chart.

For example:

  • Portfolio grew from $10,000 to $10,600
  • 27 trades, with an 18.5% win rate
  • Maximum drawdown of 14%
  • Realistic insights into risk-adjusted returns

This is real-time data, real code, real results—all built through a few smart prompts.

Why This Partnership Matters

🔗 Natural-Language-Powered Crypto Development

No more hours spent reading docs or integrating messy SDKs. With Cline + Token Metrics, you talk to your agent, and it builds the bot, fetches the data, and runs the strategy.

⚙️ Best-in-Class Crypto Market Intelligence

Token Metrics provides professional-grade market signals used by hedge funds, traders, and analysts. With 80+ metrics per token, it’s the most detailed cryptocurrency API available—now accessible to indie devs and builders via Cline.

⚡ Build, Test, Iterate—Fast

Backtesting, strategy generation, and data access happen within seconds. This drastically cuts time-to-market for MVPs, AI assistants, and algo bots.

Use Cases You Can Build

  • Hype Token Trading Bots – Surf emerging narratives like Memecoins, RWA, or AI.
  • Risk-Managed Portfolios – Adjust exposure based on grades and market phases.
  • Discord/Telegram Bots – Stream top-performing tokens with real-time buy alerts.
  • CEX/DEX Strategy Automation – Monitor performance across centralized and decentralized exchanges.
  • Quant Research Dashboards – Power internal tools with Token Metrics data for investment committees or research teams.

Why Token Metrics Is the Best Crypto API for Cline Developers

  • Built for AI Workflows – Easy to use via prompts, structured for agent consumption.
  • Real-Time Coverage – Stay updated on narrative-driven tokens before they pump.
  • Secure & Scalable – Use API keys, MCP servers, and secure backtest environments.
  • Free to Start – Includes 5,000 free API calls so you can build before committing.

Final Thoughts

The future of building in crypto is agent-driven, data-rich, and fast.

This integration between Token Metrics and Cline proves that with the right tools, anyone can turn an idea into a trading bot in under 10 minutes—using real-time market data, AI-grade analysis, and seamless backtesting in one workflow.

No manual coding. No noise. Just results.

Start building smarter bots today:
👉 Get your API Key on Token Metrics
👉 Install Roo Code and connect Cline

Watch demo here!

Let’s build the next generation of crypto trading together.

Announcements

Transforming Crypto AI Trading: Token Metrics Crypto API Now Integrates Seamlessly with Cursor AI

Token Metrics Team
8 min
MIN

AI is transforming the future of AI crypto trading—and with the integration of Token Metrics Crypto API and Cursor AI, we’re taking another giant leap forward.

This integration unlocks the ability for developers, quants, and crypto-native builders to create powerful trading agents using natural language, real-time crypto market data, and automation—all through a single interface.

Whether you're building an AI agent that monitors market trends, provides trading signals, or develops actionable investment plans, the combination of Token Metrics' cryptocurrency API and Cursor AI’s intelligent prompt interface is the future of how crypto strategies are built and executed.

In this blog, we’ll walk you through the integration, show you what’s possible, and explain why this is the most developer-friendly and data-rich crypto API available today.

What Is the Token Metrics Crypto API?

The Token Metrics API is a developer-grade crypto API that delivers over 80 advanced signals and data points per token. It covers:

  • AI Trader Grades & Investor Grades
  • Buy/Sell Signals based on bull/bear market trends
  • Support & Resistance levels
  • Sentiment Analysis
  • Quantitative Metrics & ROI Data
  • Project Reports & Risk Ratings

With deep market insight and predictive analytics, it’s built for developers looking to power anything from crypto dashboards to automated trading agents, telegram bots, or custom portfolio apps.

Now, with the Cursor AI integration, all of this power is just one conversation away.

What Is Cursor AI?

Cursor AI is an advanced AI development environment where agents can write code, test ideas, and build applications based on natural language prompts. With support for live API integrations and tool chaining, it’s the perfect platform to build and deploy intelligent agents—without switching tabs or writing boilerplate code.

Now, developers can query live cryptocurrency API data from Token Metrics using natural language—and let the agent create insights, strategies, and trading logic on the fly.

What You Can Build: Real Example

Let’s walk through what building with Token Metrics on Cursor AI looks like.

Step 1: Prompt the Agent

It starts with a simple prompt:
“What are the tools you have for Token Metrics MCP?”

In seconds, the agent replies with the full toolkit available via Token Metrics Multi-Client Protocol (MCP), including:

  • Access to trader and investor grades
  • Market analysis and real-time predictions
  • Quantitative metrics and token reports
  • AI-driven sentiment and momentum scores

Step 2: Ask for a Use Case

Next, you say:
“Give me a trading agent idea using those tools.”

The agent responds by combining crypto API tools into an actionable concept—for instance, a trading assistant that monitors bull flips on high-ROI tokens, cross-checks sentiment, and then alerts you when investor and trader grades align.

Step 3: Build a Plan Using Live Data

Then you prompt again:
“Can you explore the tools and create a comprehensive plan for me?”

Here’s the magic: the agent pulls real-time data directly from the Token Metrics API, analyzes signals, ranks tokens, identifies top performers, and builds a structured trading plan with entry/exit logic.

No manual research. No spreadsheet wrangling.
Just clean, fast, and intelligent crypto trading strategy—generated by AI using the best crypto API on the market.

Why This Changes Everything

🔗 Unified AI & Data Stack

With Token Metrics + Cursor AI, developers can interact with crypto data using plain English. There’s no more need to juggle raw JSON files or multiple APIs. One schema, one key, full access.

⚡ Real-Time, Actionable Insights

Cursor agents can now fetch live signals and respond instantly, allowing you to create agents that trade, monitor, alert, and adapt based on changing market conditions.

🤖 Build AI Trading Agents in Minutes

From backtesting tools to investment advisors to portfolio rebalancers, the combined power of a smart agent and a smart API turns hours of coding into a few well-written prompts.

Why Token Metrics API Is the Best Crypto API for AI Agents

  • Built for Speed – Fast response times and optimized endpoints for seamless agent-to-agent communication.
  • AI-Ready Structure – The API was designed with machine learning and automated trading in mind.
  • Massive Coverage – Thousands of tokens, over 80+ data points per asset.
  • MCP Gateway – Unified interface for all AI tools to access one consistent schema.
  • Free Tier – Get started with 5,000 free API calls at Token Metrics.

Whether you're building your first crypto trading bot or an enterprise-grade RAG assistant, this integration unlocks full creative and technical freedom.

Final Thoughts

This is just the beginning.

By connecting the Token Metrics API with Cursor AI, we’re moving toward a future where crypto tools are built by conversation, not code. It's not just about faster development—it’s about smarter, more adaptive trading tools that are accessible to everyone.

So go ahead.
Open up Cursor AI.
Type your first prompt.
And start building with the most intelligent crypto API in the game.

👉 Explore the Token Metrics API

👉 Start Building with Cursor AI

Watch Demo here!

Research

Top Crypto Trading Platforms in 2025

Token Metrics Team
10 min
MIN

Is the cryptocurrency market continues to mature, new technologies are emerging to give traders an edge. Among the most transformative is AI-powered crypto trading. From automating strategies to identifying hidden opportunities, AI is redefining how traders interact with digital assets.

In this guide, we’ll break down:

  • What is AI crypto trading?
  • What are the different types of cryptocurrency trading?
  • The top crypto trading exchanges and platforms, with Token Metrics as the leading AI crypto trading option.

What is AI Crypto Trading?

AI crypto trading refers to the use of artificial intelligence (AI), machine learning (ML), and data science techniques to make smarter, faster, and more informed trading decisions in the cryptocurrency markets.

These systems analyze vast datasets—price charts, market sentiment, technical indicators, social media trends, on-chain activity—to generate trading signals, price predictions, and portfolio strategies. The goal: remove emotion and bias from crypto trading and replace it with data-driven precision.

Some AI crypto trading tools offer:

  • Predictive analytics for token performance
  • Real-time trading signals based on pattern recognition
  • Automated execution of buy/sell orders based on predefined strategies
  • Portfolio optimization using volatility and correlation models
  • Sentiment analysis from Twitter, Reddit, and news feeds

AI is especially valuable in the 24/7 crypto markets, where human traders can’t keep up with constant volatility. With AI, traders can react instantly to market shifts and make decisions grounded in data—not gut feeling.

What Are the Types of Cryptocurrency Trading?

Understanding the major types of cryptocurrency trading is essential for choosing the right strategy—especially if you’re planning to use AI to assist or automate your trades.

1. Spot Trading

Spot trading is the simplest and most common form of crypto trading. You buy or sell a cryptocurrency at its current price, and the transaction settles immediately (or “on the spot”). Most traders begin here.

AI can assist by identifying ideal entry and exit points, evaluating token grades, and managing risk.

2. Futures Trading

Futures trading involves contracts that speculate on the future price of a cryptocurrency. Traders can go long or short, using leverage to amplify gains (and risks).

AI helps by identifying bullish or bearish trends, backtesting strategies, and automating trades with quantitative models that adapt to market changes.

3. Margin Trading

Margin trading allows users to borrow funds to increase their trade size. It’s risky but potentially more rewarding.

AI can reduce some of the risks by using real-time volatility data, calculating stop-loss levels, and dynamically adjusting positions.

4. Swing Trading

Swing traders hold positions for days or weeks, capturing short- to medium-term trends.

AI tools are ideal for swing trading, as they can combine technical indicators, market sentiment, and volume analysis to anticipate breakouts and reversals.

5. Day Trading

Day traders open and close positions within a single day, requiring rapid decision-making and constant monitoring.

Here, AI-powered bots can outperform humans by making thousands of micro-decisions per second, reducing slippage and emotional trading errors.

6. Algorithmic and Bot Trading

Algorithmic trading uses coded strategies to automate trades. AI takes this further by allowing the bot to learn and improve over time.

Token Metrics, for example, offers AI grades and indices that traders can plug into their own bots or use through the platform’s native AI strategies.

Top Cryptocurrency Trading Exchanges

When it comes to crypto trading platforms, there are two main categories:

  • Exchanges where you buy, sell, and hold crypto
  • Analytics platforms that help you decide what to trade and when

Below are some of the top cryptocurrency trading platforms in 2025—both exchanges and AI-powered tools—tailored to serious traders:

1. Token Metrics – The #1 AI Crypto Trading Platform

Token Metrics is not an exchange, but a crypto analytics and trading intelligence platform powered by AI. It offers:

  • Trader & Investor Grades (AI-powered scoring of tokens)
  • Bullish/Bearish Signals
  • Portfolio Strategies via AI Indices
  • Custom Alerts for price and grade movements
  • Data API for building AI trading bots

Token Metrics bridges the gap between raw data and actionable decisions. Whether you’re a beginner or a pro running algorithmic strategies, Token Metrics delivers the AI layer needed to outperform the market.

Traders use Token Metrics alongside centralized exchanges (like Binance or Coinbase) or DEXs to validate trades, identify top-performing narratives, and automate entry/exit based on AI signals.

2. Binance

Binance is the largest crypto exchange by volume, offering thousands of trading pairs, margin, and futures trading. While it doesn’t offer native AI tools, many traders integrate Binance with AI bots using their API.

Use Token Metrics + Binance together for AI-informed execution on a high-liquidity exchange.

3. Coinbase

Coinbase is ideal for retail investors and new traders. While it lacks advanced AI features, it’s a trusted fiat gateway.

Advanced users can subscribe to Coinbase Advanced or integrate with tools like Token Metrics to make smarter trading decisions.

4. Bybit

Bybit offers both spot and derivatives, plus social trading tools like copy trading. It’s popular with swing and leverage traders.

Combine Bybit with Token Metrics for AI-driven entry points on high-volatility setups.

5. Kraken

Kraken is known for strong security and a transparent track record. It supports spot, margin, and futures trading.

When paired with AI tools, Kraken becomes a secure execution venue for data-driven strategies.

6. OKX

OKX offers robust bot features, including grid trading and DCA bots. For users who prefer built-in automation, OKX is a solid option.

Still, Token Metrics outperforms on signal generation, narrative tracking, and AI-backed token scoring—making it an ideal data source for OKX bots.

Why AI is the Future of Crypto Trading

As cryptocurrency trading evolves, manual strategies alone can’t keep up. Market cycles are faster, token launches are more frequent, and volatility is constant. This is where crypto AI trading shines.

Here’s why more traders are adopting AI:

  • Speed: AI analyzes and reacts faster than any human
  • Scale: It can monitor 1,000s of tokens across multiple chains simultaneously
  • Emotionless: AI doesn’t panic-sell or FOMO-buy
  • Backtested: Strategies are tested on historical data for statistical confidence
  • Adaptive: AI learns and improves over time based on market behavior

Platforms like Token Metrics make this technology accessible—offering plug-and-play AI indices, custom signals, and portfolio intelligence for retail traders, funds, and institutions alike.

Final Thoughts

Cryptocurrency trading is becoming more competitive, data-driven, and automated. With the rise of crypto AI trading, traders now have the tools to gain a true edge—whether they’re investing $100 or managing $1M.

If you’re serious about crypto trading in 2025, don’t just guess—trade with data, trade with AI.

Explore how Token Metrics can power your portfolio with AI-generated insights, real-time signals, and next-generation trading tools.

Announcements

🚀 Token Metrics API Goes Live on Hacker News – The AI Crypto Toolkit for Builders

Token Metrics Team
5 min
MIN

The Token Metrics API has officially launched on Hacker News, marking a major milestone in our mission to bring AI-powered crypto insights to every developer, founder, and builder in the Web3 space.

If you're building trading bots, dashboards, investment tools, or AI agents that interact with the crypto market, this is your developer edge in 2025. Forget raw feeds and static charts—this is real-time, AI-grade crypto intelligence available in minutes via a single API key.

What Is the Token Metrics API?

The Token Metrics API is a powerful crypto intelligence engine built for developers who want more than just price data. It combines machine learning, quantitative modeling, and narrative indexing to deliver structured signals that help users make smarter trading decisions.

Instead of simply showing what the market did, the API helps predict what it might do—with insights like:

  • Trader & Investor Grades (0–100 scores on momentum and fundamentals)
  • Bullish/Bearish Signals across 6,000+ assets
  • Narrative-based Indices like DeFi, AI, Memes, RWAs, and more
  • Quantitative Risk Scores and sentiment analysis
  • Real-time updates, no lag, no stale metrics

It’s like giving your crypto bot a brain—and not just any brain, an AI-trained crypto analyst that never sleeps.

Why It’s Different from Every Other Crypto API

Most APIs give you prices, volume, and maybe some on-chain data. Token Metrics gives you opinionated intelligence derived from over 80 on-chain, off-chain, technical, and sentiment indicators.

That means:

  • Your dashboard users get real-time grades and trending tokens.
  • Your AI agent can speak fluently about token fundamentals.
  • Your bot can act on bullish flips before the rest of the market.

We’ve designed this API for modularity and plug-and-play usability. With 21+ endpoints and official SDKs, you can ship faster and smarter—no custom pipeline needed.

What Can You Build?

Whether you're a solo developer or building inside a Web3 team, the possibilities are wide open.

Build smarter with Token Metrics if you’re creating:

  • 🧠 AI trading agents that query real-time token grades
  • 📊 Investor dashboards that surface top-rated altcoins
  • 📈 DApps that alert users to sector momentum shifts
  • 📱 Mobile apps with embedded market signals
  • 🧪 Backtesting systems for narrative-based portfolio strategies

Because the API supports OpenAI, Claude, Cursor, and Raycast integrations, your agents and LLM-powered tools can query live crypto intelligence in natural language—no additional parsing required.

Why the Hacker News Feature Matters

Token Metrics API just made it to the front page of Hacker News, one of the internet’s most trusted platforms for discovering high-impact developer tools.

This means:

  • 💬 A community of builders and engineers is already testing the API
  • 🧪 Feedback is pouring in, helping us evolve faster
  • 🚀 Your early adoption puts you ahead of the curve

If you’ve been waiting for the right time to integrate AI-native crypto signals into your product—this is it.

Get Started for Free

We’re offering 5,000 free API calls/month for every new developer.

Sign up, plug in your key, and build:

  • With one consistent schema
  • Across multiple clients
  • Without chasing multiple API docs

Your users don’t just want raw data anymore—they want insights. Token Metrics delivers those insights in real time, with zero guesswork.

Join the Developer Revolution

💥 Explore the API – Get your key in 30 seconds
💬 Join the Hacker News discussion – See what other devs are saying
📚 Browse Docs – View full endpoints and SDKs

One API. One schema. Smarter crypto apps.
The future of crypto building is AI-powered—and it starts here.

Research

Bullish or Bearish? Interpreting AI Signals in Today’s Volatile Crypto Market

Token Metrics Team
5 min
MIN

Introduction

Crypto moves fast — and traders who can't read the signs get left behind. But in a market where emotions dominate, how do you distinguish between a real trend and a fakeout? That’s where AI-powered trading signals come in.

Token Metrics AI monitors over 6,000 tokens using 80+ data points, from technical momentum to on-chain activity and social sentiment. Its bullish and bearish signals aren’t just flashes of color — they’re actionable, data-driven insights that can guide decisions in chaotic markets.

In this post, we break down how to interpret bullish and bearish signals, what they’ve been saying recently, and how to react when market direction flips suddenly.

What Are Bullish and Bearish Signals?

Let’s start with the basics:

  • Bullish Signal (Green Dot): Indicates that a token is showing signs of an upward trend based on combined technical, sentiment, and on-chain analysis.
  • Bearish Signal (Red Dot): Suggests that a token is losing momentum, and price downside or stagnation is likely.

But these signals aren’t standalone — they come with contextual grades, like the Trader Grade, which ranks signal strength from 0 to 100. This allows you to not just know the direction, but the confidence behind it.

What Happened Recently? The May 30 Flip

On May 30, 2025, Token Metrics AI issued a broad bearish flip across much of the market. That included:

  • Ethereum
  • Bittensor
  • Launchcoin
  • Many Real World Asset and L2 tokens

The AI signal flipped red, and Trader Grades fell across the board. Why? Here's what the AI detected:

  • Slowing volume
  • Negative sentiment shift
  • Liquidity thinning on DEXs
  • On-chain accumulation stalling

This wasn’t panic-driven — it was a data-driven, proactive warning that the cycle had peaked. In a world where most traders rely on lagging indicators or Twitter sentiment, this was an edge.

How to Interpret a Bullish Signal

A bullish signal isn’t an instant “buy” — it's a call to investigate. Here's what to check when a green dot appears:

✅ 1. Trader Grade Above 80

This means high conviction. If it's between 60–79, the trend is forming, but may lack strength.

✅ 2. Volume Confirmation

Price up + volume up = good. Price up + volume flat = caution.

✅ 3. Narrative Alignment

If the token fits a hot theme (like RWAs or AI), that adds strength to the signal.

✅ 4. Recent Price Action

Did the signal appear after a breakout, or just before? Entry timing depends on whether you're catching the beginning or chasing the middle of the trend.

✅ 5. Compare to Peers

If 3–5 similar tokens are also turning bullish, that indicates sector-wide rotation — a better entry environment.

How to Interpret a Bearish Signal

Red doesn’t mean "dump immediately" — it means it's time to tighten your risk.

❗ 1. Trader Grade Below 50

This indicates deteriorating conviction — exit or reduce exposure.

❗ 2. Volume Divergence

If price is flat but volume is fading, that’s a warning of a potential breakdown.

❗ 3. Signal Timing

Did the bearish flip happen near local highs? That’s often the best exit point.

❗ 4. Check for Repeats

Was this the second red dot in a week? That could confirm a longer-term downtrend.

❗ 5. BTC/ETH Context

If Bitcoin or ETH also flip bearish, it may suggest macro pressure, not just token-specific weakness.

Real-Time Examples from the Webinar

During the June 5 Token Metrics webinar, we walked through examples of how these signals worked in real time:

🟢 Bullish (April) – Launchcoin

Strong signal, grade in the 80s. Resulted in a massive short-term run.

🔴 Bearish (May 30) – Ethereum

Signal turned red around $3,490. Traders who followed it avoided the 55% drawdown that followed.

🔴 Bearish (June) – Fartcoin

After a 700% run-up, the signal flipped bearish with a low Trader Grade of ~24. Result? A slow bleed lower as sentiment cooled.

What Makes AI Signals Different from Traditional TA?

Feature                                                    Token Metrics AI                     Traditional TA

Combines social + on-chain                    ✅                                       ❌

Updated in real time                                 ✅                                       ❌

Machine learning trained on past data   ✅                                       ❌

Outputs confidence grade                       ✅                                       ❌

Adapts to new narratives                         ✅                                       ❌

This isn’t about moving averages or MACD — it’s about combining the entire digital footprint of a token to anticipate what comes next.

How to React to a Signal Flip

What do you do when your favorite token suddenly flips from bullish to bearish?

  1. Reduce exposure immediately — even if you don’t sell everything, cut risk.
  2. Check the Grade — if it’s falling, momentum is likely over.
  3. Watch Peer Tokens — if similar projects are also turning red, it confirms sector rotation.
  4. Set New Alerts — if the signal flips back to green, be ready to re-enter.

Your job isn’t to predict the market. It’s to respond to what the data is saying.

How to Combine AI Signals with a Strategy

Here’s a basic framework:

Entry

  • Bullish signal + Trader Grade > 80 = enter with full size.
  • Grade 60–79 = enter small or wait for confirmation.

Exit

  • Bearish signal = scale out or exit.
  • Grade < 50 = no new positions unless for short trades.

Risk

  • Position size scales with grade.
  • Only trade tokens with high liquidity and volume confirmation.

This keeps your system simple, repeatable, and data-driven.

Conclusion

In volatile markets, conviction matters. Token Metrics AI doesn’t just point up or down — it tells you how strong the trend is, how likely it is to last, and when it’s time to pivot.

Don’t trade on emotions. Don’t chase hype. Use the signals — and trust the grade.

Because in a market that never sleeps, it pays to have an AI watching your back.

Research

Crypto Market Cools Off: What Is Token Metrics AI Saying Now

Token Metrics Team
5 min
MIN

Introduction

The euphoria of April and May in the crypto market has officially hit the brakes. While traders were riding high just weeks ago, the mood has shifted — and the data confirms it. Token Metrics’ proprietary AI signals flipped bearish on May 30, and since then, the market has been slowly but steadily declining.

In this post, we break down what’s happened since the bearish signal, how major altcoins and sectors are reacting, and what Token Metrics’ indicators are telling us about what might come next.

The Big Picture: Cooling Off After a Hot Q1 and Q2 Start

The platform’s AI signal turned bearish on May 30 when the total crypto market cap hit $3.34 trillion. Since then, the momentum that defined early 2025 has reversed.

This wasn’t a sudden crash — it’s a slow bleed. The signal shift didn’t come from headline-driven panic, but from data-level exhaustion: volume softening, sentiment stalling, and trend strength fading across most tokens.

Token Metrics AI recognized the shift — and issued the warning.

What the Bearish Signal Means

The AI model analyzes over 80 metrics across price, volume, sentiment, and on-chain data. When key trends across these data sets weaken, the system flips from bullish (green) to bearish (red).

On May 30:

  • Trader Grades across most tokens declined
  • Signal sentiment flipped bearish
  • Momentum and velocity cooled down

According to the model, these were signs of a broad de-risking cycle — not just isolated weakness.

Sectors Showing Declines

Even tokens that had been performing well throughout Q2 began to stall or roll over.

🚨 Launch Coin

Previously one of the top performers in April, Launch Coin saw its grades decrease and price action softened.It may even be rebranding — a typical signal that a project is pivoting after a hype cycle.

🏦 Real World Assets (RWAs)

RWAs were hot in March–May, but by early June, volume and signal quality had cooled off significantly.

🔐 ZK and L2s

Projects like Starknet and zkSync, once dominant in trader attention, have seen signal strength drop, with many now scoring below 70.

The cooling effect is broad, touching narratives, sectors, and high-performing individual tokens alike.

The Bull-Bear Indicator in Action

One of the key tools used by Token Metrics is the Bull vs. Bear Indicator, which aggregates bullish vs. bearish signals across all tokens tracked.

As of early June:

  • The percentage of tokens with bullish signals dropped to its lowest since January.
  • New projects launching with strong grades also saw a decline.
  • Even community-favorite tokens began receiving “exit” alerts.

This isn’t fear — it’s fatigue.

How Traders Are Reacting

During the webinar, we noted that many users who rely on Token Metrics signals began rotating into stables once the May 30 signal flipped. Others reduced leverage, paused entries, or shifted into defensive plays like ETH and BTC.

This reflects an important philosophy:

"When the data changes, we change our approach."

Instead of trying to fight the tape or chase rebounds, disciplined traders are using the bearish signal to protect gains and preserve capital.

What About Ethereum and Bitcoin?

Even ETH and BTC, the two bellwether assets, aren’t immune.

  • Ethereum: Lost momentum after a strong May push. Its Trader Grade is dropping, and the AI signals currently reflect neutral-to-bearish sentiment.
  • Bitcoin: While still holding structure better than altcoins, it has also declined since peaking above $72k. Volume weakening and sentiment falling suggest caution.

In previous cycles, ETH and BTC acted as shelters during altcoin corrections. But now, even the majors show weakness — another reason why the bearish flip matters.

What Could Reverse This?

Abdullah Sarwar, head of research at Token Metrics, mentioned that for the signals to flip back bullish, we would need to see:

  • Increased momentum across top tokens
  • New narratives (e.g., real-world utility, cross-chain demand)
  • Higher volume and liquidity inflows
  • Positive macro or ETF news

Until then, the system will remain in defensive mode — prioritizing safety over chasing trades.

How to Act During a Bearish Signal

The team offered several tips for traders during this cooling-off period:

  1. Reduce exposure
    Don’t hold full positions in assets with weak grades or bearish signals.

  2. Watch signal reversals
    Keep an eye on sudden bullish flips with high Trader Grades — they often mark trend reversals.

  3. Rebalance into safer assets
    BTC, ETH, or even stables allow you to sit on the sidelines while others take unnecessary risk.

  4. Use Token Metrics filters
    Use the platform to filter for:

    • Top tokens with >80 grades
    • Signals that flipped bullish in the last 3 days
    • Low market-cap tokens with strong on-chain activity

These tools help find exceptions in a weak market.

Conclusion: Bearish Doesn’t Mean Broken

Markets cycle — and AI sees it before headlines do.

Token Metrics' bearish signal wasn’t a call to panic. It was a calibrated, data-backed alert that the trend had shifted — and that it was time to switch from offense to defense.

If you’re navigating this new phase, listen to the data. Use the tools. And most importantly, avoid trading emotionally.

The bull market might return. When it does, Token Metrics AI will flip bullish again — and you’ll be ready.

Research

Backtesting Token Metrics AI: Can AI Grades Really Predict Altcoin Breakouts?

Token Metrics Team
5 min
MIN

To test the accuracy of Token Metrics' proprietary AI signals, we conducted a detailed six-month backtest across three different tokens — Fartcoin, Bittensor ($TAO), and Ethereum. Each represents a unique narrative: memecoins, AI infrastructure, and blue-chip Layer 1s. Our goal? To evaluate how well the AI’s bullish and bearish signals timed market trends and price action.

Fartcoin:

The green and red dots on the following Fartcoin price chart represent the bullish and bearish market signals, respectively. Since Nov 26, 2024, Token Metrics AI has given 4 trading signals for Fartcoin. Let’s analyze each signal separately.

The Fartcoin chart above displays green and red dots that mark bullish and bearish signals from the Token Metrics AI, respectively. Over the last six months — starting November 26, 2024 — our system produced four significant trade signals for Fartcoin. Let’s evaluate them one by one.

The first major signal was bullish on November 26, 2024, when Fartcoin was trading at $0.29. This signal preceded a massive run-up, with the price topping out at $2.49. That’s an astounding 758% gain — all captured within just under two months. It’s one of the most powerful validations of the AI model’s ability to anticipate momentum early.

Following that rally, a bearish signal was triggered on January 26, 2025, just before the market corrected. Fartcoin retraced sharply, plunging 74.76% from the highs. Traders who acted on this bearish alert could have avoided substantial drawdowns — or even profited through short-side exposure.

On March 25, 2025, the AI turned bullish again, as Fartcoin traded near $0.53. Over the next several weeks, the token surged to $1.58, a 198% rally. Again, the AI proved its ability to detect upward momentum early.

Most recently, on June 1, 2025, Token Metrics AI flipped bearish once again. The current Trader Grade of 24.34 reinforces this view. For now, the system warns of weakness in the memecoin market — a trend that appears to be playing out in real-time.

Across all four trades, the AI captured both the explosive upside and protected traders from steep corrections — a rare feat in the volatile world of meme tokens.

Bittensor

Next, we examine Bittensor, the native asset of the decentralized AI Layer 1 network. Over the last six months, Token Metrics AI produced five key signals — and the results were a mixed bag but still largely insightful.

In December 2024, the AI turned bearish around $510, which preceded a sharp decline to $314 by February — a 38.4% drawdown. This alert helped traders sidestep a brutal correction during a high-volatility period.

On February 21, 2025, the system flipped bullish, but this trade didn't play out as expected. The price dropped 25.4% after the signal. Interestingly, the AI reversed again with a bearish signal just five days later, showing how fast sentiment and momentum can shift in emerging narratives like AI tokens.

The third signal marked a solid win: Bittensor dropped from $327 to $182.9 following the bearish call — another 44% drop captured in advance.

In April 2025, momentum returned. The AI issued a bullish alert on April 19, with TAO at $281. By the end of May, the token had rallied to over $474, resulting in a 68.6% gain — one of the best performing bullish signals in the dataset.

On June 4, the latest red dot (bearish) appeared. The model anticipates another downward move — time will tell if it materializes, but the track record suggests caution is warranted.

Ethereum

Finally, we analyze the AI’s predictive power for Ethereum, the second-largest crypto by market cap. Over the six-month window, Token Metrics AI made three major calls — and each one captured critical pivots in ETH’s price.

On November 7, 2024, a green dot (bullish) appeared when ETH was priced at $2,880. The price then surged to $4,030 in less than 40 days, marking a 40% gain. For ETH, such a move is substantial and was well-timed.

By December 24, the AI flipped bearish with ETH trading at $3,490. This signal was perhaps the most important, as it came ahead of a major downturn. ETH eventually bottomed out near $1,540 in April 2025, avoiding a 55.8% drawdown for those who acted on the signal.

In May 2025, the AI signaled another bullish trend with ETH around $1,850. Since then, the asset rallied to $2,800, creating a 51% gain.

These three trades — two bullish and one bearish — show the AI’s potential in navigating large-cap assets during both hype cycles and corrections.Backtesting Token Metrics AI across memecoins, AI narratives, and Ethereum shows consistent results: early identification of breakouts, timely exit signals, and minimized risk exposure. While no model is perfect, the six-month history reveals a tool capable of delivering real value — especially when used alongside sound risk management.

Whether you’re a trader looking to time the next big altcoin rally or an investor managing downside in turbulent markets, Token Metrics AI signals — available via the fastest crypto API — offer a powerful edge.

Backtesting Token Metrics AI across memecoins, AI narratives, and Ethereum shows consistent results: early identification of breakouts, timely exit signals, and minimized risk exposure. While no model is perfect, the six-month history reveals a tool capable of delivering real value — especially when used alongside sound risk management.

Whether you’re a trader looking to time the next big altcoin rally or an investor managing downside in turbulent markets, Token Metrics AI signals — available via the fastest crypto API — offer a powerful edge.

Research

Token Metrics API vs. CoinGecko API: Which Crypto API Should You Choose in 2025?

Token Metrics Team
7 min
MIN

As the crypto ecosystem rapidly matures, developers, quant traders, and crypto-native startups are relying more than ever on high-quality APIs to build data-powered applications. Whether you're crafting a trading bot, developing a crypto research platform, or launching a GPT agent for market analysis, choosing the right API is critical.

Two names dominate the space in 2025: CoinGecko and Token Metrics. But while both offer access to market data, they serve fundamentally different purposes. CoinGecko is a trusted source for market-wide token listings and exchange metadata. Token Metrics, on the other hand, delivers AI-powered intelligence for predictive analytics and decision-making.

Let’s break down how they compare—and why the Token Metrics API is the superior choice for advanced, insight-driven builders.

🧠 AI Intelligence: Token Metrics Leads the Pack

At the core of Token Metrics is machine learning and natural language processing. It’s not just a data feed. It’s an AI that interprets the market.

Features exclusive to Token Metrics API:

  • Trader Grade (0–100) – Short-term momentum score based on volume, volatility, and technicals
  • Investor Grade (0–100) – Long-term asset quality score using fundamentals, community metrics, liquidity, and funding
  • Bullish/Bearish AI Signals – Real-time alerts based on over 80 weighted indicators
  • Sector-Based Smart Indices – Curated index sets grouped by theme (AI, DeFi, Gaming, RWA, etc.)
  • Sentiment Scores – Derived from social and news data using NLP
  • LLM-Friendly AI Reports – Structured, API-returned GPT summaries per token
  • Conversational Agent Access – GPT-based assistant that queries the API using natural language

In contrast, CoinGecko is primarily a token and exchange aggregator. It offers static data: price, volume, market cap, supply, etc. It’s incredibly useful for basic info—but it lacks context or predictive modeling.

Winner: Token Metrics — The only crypto API built for AI-native applications and intelligent automation.

🔍 Data Depth & Coverage

While CoinGecko covers more tokens and more exchanges, Token Metrics focuses on providing actionable insights rather than exhaustively listing everything.

Feature                                                   Token Metrics API                                    CoinGecko API

Real-time + historical OHLCV              ✅                                                          ✅

Trader/Investor Grades                        ✅ AI-powered                                     ❌

Exchange Aggregation                         ✅ (Used in indices, not exposed)     ✅

Sentiment & Social Scoring                  ✅ NLP-driven                                     ❌

AI Signals                                               ✅                                                         ❌

Token Fundamentals                            ✅ Summary via deepdive         ⚠️ Limited

                                                                        endpoint

NFT Market Data                                  ❌                                                          ✅

On-Chain Behavior                               ✅ Signals + Indices                   ⚠️ Pro-only (limited)

If you're building something analytics-heavy—especially trading or AI-driven—Token Metrics gives you depth, not just breadth.

Verdict: CoinGecko wins on broad metadata coverage. Token Metrics wins on intelligence and strategic utility.

🛠 Developer Experience

One of the biggest barriers in Web3 is getting devs from “idea” to “prototype” without friction. Token Metrics makes that easy.

Token Metrics API Includes:

  • SDKs for Python, Node.js, and Postman
  • Quick-start guides and GitHub sample projects
  • Integrated usage dashboard to track limits and history
  • Conversational agent to explore data interactively
  • Clear, logical endpoint structure across 21 data types

CoinGecko:

  • Simple REST API
  • JSON responses
  • Minimal docs
  • No SDKs
  • No built-in tooling (must build from scratch)

Winner: Token Metrics — Serious devs save hours with ready-to-go SDKs and utilities.

📊 Monitoring, Quotas & Support

CoinGecko Free Tier:

  • 10–30 requests/min
  • No API key needed
  • Public endpoints
  • No email support
  • Rate limiting enforced via IP

Token Metrics Free Tier:

  • 5,000 requests/month
  • 1 request/min
  • Full access to AI signals, grades, rankings
  • Telegram & email support
  • Upgrade paths to 20K–500K requests/month

While CoinGecko’s no-login access is beginner-friendly, Token Metrics offers far more power per call. With just a few queries, your app can determine which tokens are gaining momentum, which are losing steam, and how portfolios should be adjusted.

Winner: Token Metrics — Better for sustained usage, scaling, and production reliability.

💸 Pricing & Value

Plan Feature                CoinGecko Pro            Token Metrics API

Entry Price                  ~$150/month                $99/month

AI Grades & Signals            ❌                               ✅ 

Sentiment Analytics            ❌                               ✅

Sector Index Insights          ❌                               ✅

NLP Token Summaries       ❌                                ✅

Developer SDKs                  ❌                                ✅

Token-Based Discounts     ❌                                ✅ (up to 35% with $TMAI)

For what you pay, Token Metrics delivers quant models and intelligent signal streams — not just raw price.

Winner: Token Metrics — Cheaper entry, deeper value.

🧠 Use Cases Where Token Metrics API Shines

  • Trading Bots
    Use Trader Grade and Signal endpoints to enter/exit based on AI triggers.
  • GPT Agents
    Generate conversational answers for “What’s the best AI token this week?” using structured summaries.
  • Crypto Dashboards
    Power sortable, filtered token tables by grade, signal, or narrative.
  • Portfolio Rebalancers
    Track real-time signals for tokens held, flag risk zones, and show sector exposure.
  • LLM Plugins
    Build chat-based investment tools with explainability and score-based logic.

🧠 Final Verdict: CoinGecko for Info, Token Metrics for Intelligence

If you're building a crypto price tracker, NFT aggregator, or exchange overview site, CoinGecko is a solid foundation. It’s reliable, broad, and easy to get started.

But if your product needs to think, adapt, or help users make better decisions, then Token Metrics API is in another class entirely.

You're not just accessing data — you're integrating AI, machine learning, and predictive analytics into your app. That’s the difference between showing the market and understanding it.

🔗 Ready to Build Smarter?

  • ✅ 5,000 free API calls/month
  • 🤖 Trader & Investor Grades
  • 📊 Live Bull/Bear signals
  • 🧠 AI-powered summaries and GPT compatibility
  • ⚡ 21 endpoints + Python/JS SDKs

👉 Start with Token Metrics API

Research

Python Quick-Start with Token Metrics: The Ultimate Crypto Price API

Token Metrics Team
10 min
MIN

If you’re a Python developer looking to build smarter crypto apps, bots, or dashboards, you need two things: reliable data and AI-powered insights. The Token Metrics API gives you both. In this tutorial, we’ll show you how to quickly get started using Token Metrics as your Python crypto price API, including how to authenticate, install the SDK, and run your first request in minutes.

Whether you’re pulling live market data, integrating Trader Grades into your trading strategy, or backtesting with OHLCV data, this guide has you covered.

🚀 Quick Setup for Developers in a Hurry

Install the official Token Metrics Python SDK:

pip install tokenmetrics

Or if you prefer working with requests directly, no problem. We’ll show both methods below.

🔑 Step 1: Generate Your API Key

Before anything else, you’ll need a Token Metrics account.

  1. Go to app.tokenmetrics.com/en/api
  2. Log in and navigate to the API Keys Dashboard
  3. Click Generate API Key
  4. Name your key (e.g., “Development”, “Production”)
  5. Copy it immediately — keep it secret.

You can monitor usage, rate limits, and quotas right from the dashboard. Track each key’s status, last used date, and revoke access at any time.

📈 Step 2: Retrieve Crypto Prices in Python

Here’s a simple example to fetch the latest price data for Ethereum (ETH):

import requests

API_KEY = "YOUR_API_KEY"

headers = {"x-api-key": API_KEY}

url = "https://api.tokenmetrics.com/v2/daily-ohlcv?symbol=ETH&startDate=<YYYY-MM-DD>&endDate=<YYYY-MM-DD>"

response = requests.get(url, headers=headers)

data = response.json()

for candle in data['data']:

    print(f"Date: {candle['DATE']} | Close: ${candle['CLOSE']}")

You now have a working python crypto price API pipeline. Customize startDate or endDate to get specific range of historical data.

📊 Add AI-Powered Trader Grades

Token Metrics’ secret sauce is its AI-driven token ratings. Here’s how to access Trader Grades for ETH:

grade_url = "https://api.tokenmetrics.com/v2/trader-grades?symbol=ETH&limit=30d"

grades = requests.get(grade_url, headers=headers).json()['data']

for day in grades:

    print(f"{day['DATE']} — Trader Grade: {day['TA_GRADE']}")

Use this data to automate trading logic (e.g., enter trades when Grade > 85) or overlay on charts.

🔁 Combine Data for Backtesting

Want to test a strategy? Merge OHLCV and Trader Grades for any token:

import pandas as pd

ohlcv_df = pd.DataFrame(data['data'])

grades_df = pd.DataFrame(grades)

combined_df = pd.merge(ohlcv_df, grades_df, on="DATE")

print(combined_df.head())

Now you can run simulations, build analytics dashboards, or train your own models.

⚙️ Endpoint Coverage for Python Devs

  • /daily-ohlcv: Historical price data
  • /trader-grades: AI signal grades (0–100)
  • /trading-signals: Bullish/Bearish signals for short and long positions.
  • /sentiment: AI-modeled sentiment scores
  • /tmai: Ask questions in plain English

All endpoints return structured JSON and can be queried via requests, axios, or any modern client.

🧠 Developer Tips

  • Each request = 1 credit (tracked in real time)
  • Rate limits depend on your plan (Free = 1 req/min)
  • Use the API Usage Dashboard to monitor and optimize
  • Free plan = 5,000 calls/month — perfect for testing and building MVPs

💸 Bonus: Save 35% with $TMAI

You can reduce your API bill by up to 35% by staking and paying with Token Metrics’ native token, $TMAI. Available via the settings → payments page.

🌐 Final Thoughts

If you're searching for the best python crypto price API with more than just price data, Token Metrics is the ultimate choice. It combines market data with proprietary AI intelligence, trader/investor grades, sentiment scores, and backtest-ready endpoints—all in one platform.

✅ Real-time & historical data
✅ RESTful endpoints
✅ Python-ready SDKs and docs
✅ Free plan to start building today

Start building today → tokenmetrics.com/api

Looking for SDK docs? Explore the full Python Quick Start Guide

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