Crypto Basics

Role of AI in Crypto Industry - Benefits, Risks and Uses

Learn everything about the role of artificial intelligence (AI) in the crypto industry and its uses in this descriptive guide.
Token Metrics Team
8 Minutes
MIN

Artificial intelligence (AI) has become a buzzword in various industries, and the crypto industry is not an exception. AI is playing a vital role in the crypto industry by enhancing the efficiency, security, and transparency of various processes.

The crypto industry is experiencing a paradigm shift in the way it operates due to AI's advancements. To begin, it's essential to comprehend the significance of Artificial Intelligence (AI) in the world of cryptocurrencies. So let's start..

Importance of AI in Crypto Industry

In order to understand the importance of AI, we need to explore the various applications of AI in the crypto industry, including trading, fraud detection, security, and governance. We will also examine the impact of AI on the crypto industry and how it is transforming the future of finance.

Artificial intelligence in Trading

AI is revolutionizing the way trading is done in the crypto industry. With its advanced algorithms, AI can analyze vast amounts of data, identify trends, and predict market movements. This capability is crucial in a fast-paced market like the crypto industry, where timing is everything.

Moreover, AI can execute trades automatically based on predefined criteria, which can save traders a significant amount of time and effort. This automation eliminates human error, increases trading efficiency, and reduces the risk of losses.

Artificial intelligence in Fraud Detection

The crypto industry has faced several fraud cases in the past, which have raised concerns about its security. However, AI can help detect and prevent fraud in the industry. AI can analyze data from various sources, including social media, to identify fraudulent activities and alert the relevant authorities.

Additionally, AI can help prevent money laundering by tracking the movement of funds across the blockchain network. This capability can enhance the industry's transparency and make it more attractive to investors.

Artificial intelligence in Security

AI can also play a vital role in the security of the crypto industry. With its advanced algorithms, AI can identify and prevent cyber attacks, which have become increasingly common in the industry. AI can also detect vulnerabilities in the blockchain network and suggest ways to fix them.

Moreover, AI can help prevent hacking attempts by analyzing user behavior and identifying suspicious activities. This capability can enhance the security of the industry and protect investors' funds.

Artificial intelligence in Governance

AI can also improve the governance of the crypto industry. With its ability to analyze data and identify patterns, AI can help regulators identify potential risks and take necessary actions. AI can also help regulators develop policies and regulations that are more effective and efficient.

Moreover, AI can enhance the transparency of the industry by analyzing data on blockchain networks and providing insights into how they operate. This transparency can increase trust in the industry and attract more investors.

Benefits of Using AI in Crypto Trading

The use of AI in cryptocurrency trading has been increasing over the years due to its ability to analyze vast amounts of data, detect patterns, and make predictions. Let's explore some of the benefits of using AI in cryptocurrency trading.

1. Improved Efficiency‍

One of the most significant benefits of using AI in cryptocurrency trading is improved efficiency. AI can analyze large amounts of data from various sources in real-time, making it easier to identify profitable trades.

This capability saves traders a significant amount of time and effort by automating the trading process. Traders can also set specific criteria for trading, and the AI can execute trades automatically based on those criteria.

2. Accurate Market Predictions

AI has the ability to analyze vast amounts of data and detect patterns that are difficult for humans to see. This capability enables AI to make accurate price predictions about the future movement of cryptocurrencies. With its advanced algorithms, AI can analyze market trends and historical data to identify potential price movements.

3. Reduced Risk of Losses

By using AI, traders can reduce the risk of losses. AI can detect potential risks and help traders make informed decisions about when to buy or sell cryptocurrencies. AI can also execute trades automatically based on predefined criteria, which eliminates human error and reduces the risk of losses.

4. Improved Security

AI can also improve the security of cryptocurrency trading. With its advanced algorithms, AI can detect potential cyber attacks and protect traders' funds from being stolen. AI can also identify vulnerabilities in the blockchain network and suggest ways to fix them.

5. Increased Transparency

AI can increase transparency in cryptocurrency trading by analyzing data on the blockchain network. This capability enables traders to see how cryptocurrencies are moving and who is trading them. Increased transparency can enhance trust in the industry and attract more investors.

6. Enhanced Trading Strategies

AI can also enhance trading strategies by providing insights into market trends and identifying profitable trades. Traders can use this information to adjust their trading strategies and make more informed decisions. AI can also analyze the trading behavior of other traders and provide insights into how they are trading.

Risks associated with using AI in crypto

While using artificial intelligence (AI) in cryptocurrency trading has numerous benefits, it is not without risks. Lets see some of the risks associated with using AI in the crypto industry.

1. Over-reliance on AI

One of the most significant risks associated with using AI in cryptocurrency trading is over-reliance on AI. While AI can help traders make informed decisions, it is not infallible. Traders who rely solely on AI may miss critical market movements and make poor trading decisions. It is essential to use AI as a tool to aid in trading decisions, rather than relying entirely on it.

2. Limited Training Data

AI requires vast amounts of data to train its algorithms and make accurate predictions. However, the cryptocurrency industry is relatively new, and there is limited historical data available. This limitation can lead to inaccuracies in AI predictions, which can result in significant losses for traders.

3. Black Box Problem

Another risk associated with using AI in cryptocurrency trading is the black box problem. AI algorithms are often complex, and it can be challenging to understand how they arrive at their predictions. This lack of transparency can make it difficult for traders to trust AI decisions and make informed decisions about their trades.

4. Cybersecurity Risks

AI technology is still new and some systems are vulnerable to cyber attacks, which can compromise the security of traders' funds. Hackers can exploit vulnerabilities in AI algorithms to manipulate trades or steal funds. It is essential to implement robust cybersecurity measures to protect against these risks.

5. Bias in Algorithms

AI algorithms can be biased based on the data they are trained on. If the data is biased, the AI algorithm will make biased predictions, which can result in significant losses for traders. It is crucial to ensure that AI algorithms are trained on unbiased data to avoid this risk.

6. Regulatory Risks

The use of AI in cryptocurrency trading is a relatively new concept, and there is limited regulation surrounding its use. Traders who use AI may be subject to regulatory risks if they violate laws or regulations. It is essential to stay up to date on regulatory developments and ensure that AI systems comply with relevant laws and regulations.

Uses of AI in Crypto Space

Artificial intelligence (AI) has numerous uses in the field of cryptocurrency industry. The most significant use of AI in cryptocurrency space is for research and analysis. AI is used by many investors and traders for predicting market trends and making informed investment decisions. 

Machine learning algorithms can analyze vast amounts of data, including historical crypto price, market cap, trends, volume and many more data points to identify patterns and correlations that may indicate future price movements.

These are few common uses of AI in the crypto space - 

  • Cryptocurrency Market Analysis
  • Accurate Crypto Market Predictions
  • Crypto Market Sentiment Analysis 
  • Automated Crypto Trading Strategies
  • Monetizing Crypto Insights

One best example is Token Metrics itself, We utilize AI's capabilities to deliver high-performance analytics and precise data solutions to users. At Token Metrics, we integrate AI technology and human expertise into our products to provide accurate and reliable market analysis to our users. 

By leveraging AI algorithms, we can process and analyze vast amounts of data efficiently, allowing us to deliver insights and price predictions that aid users in making informed investment decisions. To learn more about the Token Metrics platform, head over to app.tokenmetrics.com and register now. 

The future of AI in Crypto Space

The future of AI in the crypto space is incredibly promising, as the technology continues to evolve and become more sophisticated. One area where AI is expected to make significant strides is in predicting market trends and analyzing large amounts of data quickly and accurately. 

As the crypto market becomes increasingly complex, AI will play a crucial role in identifying trends and patterns that human analysts may miss. AI-powered chatbots and virtual assistants will also become more prevalent, providing data backed suggestions on investment and support to traders and investors. 

Overall, the future of AI in the crypto space is exciting, and it is expected to revolutionize the way investors and traders approach the market.

Conclusion

In conclusion, AI is playing a vital role in the crypto industry by enhancing its efficiency, security, and transparency. AI is transforming the way trading is done, detecting and preventing fraud, improving security, and enhancing governance. The crypto industry is experiencing a paradigm shift in the way it operates due to AI's advancements, and the future looks bright.

Disclaimer

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

Token Metrics does not recommend that any cryptocurrency should be bought, sold, or held by you. Do conduct your own due diligence and consult your financial advisor before making any investment decisions.

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Token Metrics API

How to Build Crypto Trading Dashboard Using the Token Metrics Crypto Data API on Dune

Token Metrics Team
8 min
MIN

In today’s fast-paced crypto world, real-time data isn’t a luxury—it’s a necessity. For traders, analysts, and developers, being able to access live, actionable insights can mean the difference between profit and loss. That’s why the integration of the Token Metrics Crypto Data API with Dune is a game-changer for anyone seeking to create live dashboards backed by intelligent trading data.

In this post, we’ll walk through how to use this top crypto API to build dynamic dashboards on Dune. Whether you’re tracking bullish signals, backtesting trading strategies, or identifying top-performing tokens, this integration makes it possible—without any paid license.

Let’s dive into how you can use the best free crypto API available today to transform your trading.

What Is the Token Metrics Crypto Data API?

The Token Metrics Crypto Data API is a developer-focused gateway to powerful, AI-driven crypto data. It’s one of the top crypto APIs in 2025, giving you access to:

  • Real-time and historical trading signals
  • Proprietary trader and investor grades
  • Alpha metrics comparing trading vs. holding performance
  • Bullish and bearish token flags

This API is used by both professional quant traders and beginners seeking to automate insights. And the best part? Token Metrics provides free crypto API access to selected datasets, allowing you to create powerful dashboards without spending a dime.

Why Dune + Token Metrics API = Power Tools for Traders

Dune is a blockchain analytics platform that allows you to write SQL queries and create dashboards using on-chain and off-chain data. Now that Token Metrics datasets are available on Dune, you can combine the best of both worlds:

  • Free access to high-signal proprietary metrics
  • Real-time data visualizations via Dune’s drag-and-drop dashboard builder
  • Actionable insights based on AI-driven trading intelligence

This integration unlocks a whole new level of transparency and utility for crypto analysts, portfolio managers, and DeFi enthusiasts.

Getting Started: Accessing Token Metrics Data on Dune

To begin, create a free Dune account. Once logged in, navigate to the Token Metrics datasets. These are publicly accessible and updated regularly. You’ll find tables for:

  • trading_signals
  • trader_grades
  • investors_grades
  • tokens

Start a new SQL query and choose the dataset you want to explore. Here’s what you’ll find in the trading signals table:

‍

‍

Step-by-Step: Creating an Actionable Dashboard with Token Metrics Data

1. Query the Trading Signal Returns

Write a SQL query to calculate the average return of trading vs. holding strategies. For example:

This gives you the alpha—how much better the Token Metrics strategy performs compared to just HODLing.

In one real example, the average signal return across all tokens was 1630%, while holding returned just 400%. That’s a 12X improvement powered by this top crypto API.

2. Identify Top-Performing Tokens

Now let’s list tokens with the highest average alpha:

Tokens like BTC, ETH, BNB, and even newer ones like Virtuals stand out due to exceptional alpha performance.

3. Visualize Trader Grades vs. Alpha

The trader grade is a proprietary score from Token Metrics that predicts how favorable a token is for short-term traders.

Use a scatter plot to correlate trader grades with average alpha:

  • X-axis: Trader Grade
  • Y-axis: Average Alpha
  • Group by: Token Symbol

This helps you visually determine which tokens score high and offer exceptional returns—an essential tool for making actionable trading decisions.

4. Track the Latest Bullish Signals

Want to know which tokens are bullish right now? Here’s a query to find the most recent tokens flagged as bullish:

For example, on July 4th, tokens like BNB, XRP, and BTC were among the most recent bullish signals—perfect for immediate trade setups.

5. Build and Share Your Dashboard

Once you’ve run your queries:

  • Click “Add Visualization” in Dune
  • Choose from chart types (bar, scatter, progress bar, etc.)
  • Customize colors and filters
  • Combine multiple charts into a single dashboard

Your final product will be a real-time dashboard powered by the best crypto API, delivering insights that you—and your team—can act on instantly.

Why Token Metrics Is the Best Free Crypto API for Traders

Here’s why Token Metrics stands out among other APIs:

✅ AI-Driven Signals

Most APIs deliver raw data. Token Metrics provides curated signals, generated from machine learning models trained on market cycles, indicators, and price action.

✅ Proprietary Metrics

Access unique indicators like trader grade and investor grade, unavailable anywhere else.

✅ Real Historical Alpha

Use the API to backtest strategies. In the example shown, the AI strategy outperformed the market by over 1000X for some tokens.

✅ Seamless Integration

Whether you're using Dune, Zapier, OpenAI, or Eliza OS, Token Metrics is easy to integrate and query—making it the top crypto API for developers and analysts alike.

Final Thoughts

The combination of Token Metrics’ intelligent data and Dune’s visualization tools puts immense power in your hands. Whether you’re tracking market trends, building bots, or guiding portfolio decisions, this integration gives you everything you need to trade smarter.

With free access to real-time trading signals, alpha comparisons, and powerful visualizations, Token Metrics proves why it's the best crypto API for today’s data-driven investor.

Ready to try it out?
👉 Explore the Free Crypto API
👉 Start Building on Dune

Crypto Basics

What Is an ETF Stock? A Beginner’s Guide to Exchange-Traded Funds in 2025

Token Metrics Team
8 min
MIN

In today’s fast-moving financial markets, Exchange-Traded Funds, or ETF stocks, have emerged as one of the most popular investment vehicles for beginners and professionals alike. But what exactly is an ETF stock, how does it work, and why is it considered a smart way to invest?

This guide will walk you through everything you need to know about ETF stocks in 2025—including how they work, their benefits and risks, and how AI platforms like Token Metrics are changing the way people research and trade ETFs in both traditional and crypto markets.

📌 What Is an ETF Stock?

An ETF stock refers to a share of an Exchange-Traded Fund—a type of investment fund that trades on stock exchanges, much like individual company stocks. Each ETF holds a basket of underlying assets such as:

  • Stocks (e.g., S&P 500 companies)
  • Bonds
  • Commodities (like gold or oil)
  • Currencies
  • Cryptocurrencies (Bitcoin, Ethereum, etc.)

When you buy an ETF stock, you’re buying a fractional share of the entire portfolio of assets held by that ETF.

🔍 How Does an ETF Stock Work?

ETF stocks work like this:

  1. Creation: An asset management company (like BlackRock, Vanguard, or Fidelity) creates an ETF that tracks a specific index, sector, or asset type.
  2. Listing: The ETF is listed on a stock exchange such as the NYSE or Nasdaq.
  3. Trading: Investors can buy and sell ETF shares throughout the trading day, just like they would a stock like Apple or Tesla.
  4. Price Movement: The price of an ETF stock fluctuates during the day based on the Net Asset Value (NAV) of its holdings and supply-demand dynamics in the market.

This model provides a liquid, transparent, and low-cost way for investors to gain diversified exposure to entire markets or sectors.

📊 Example of an ETF Stock

A good example is the SPDR S&P 500 ETF Trust (SPY), which tracks the performance of the S&P 500 index. When you buy a share of SPY, you gain exposure to 500 of the largest U.S. companies—without needing to buy each stock individually.

✅ Benefits of ETF Stocks

ETF stocks offer numerous advantages for investors in 2025:

1. Diversification

Instead of buying individual assets, ETF stocks offer instant diversification by holding dozens or hundreds of securities in a single share.

2. Liquidity

ETFs are traded on exchanges, making them highly liquid. You can buy or sell them at market prices during normal trading hours.

3. Lower Costs

ETFs typically have low expense ratios (as low as 0.03%), especially compared to mutual funds or actively managed portfolios.

4. Transparency

Most ETFs disclose their holdings daily, giving investors a clear view into what they’re buying.

5. Flexibility

You can use ETFs for long-term investing, short-term trading, hedging, or generating income through dividends.

⚠ Risks of ETF Stocks

Despite their many benefits, ETF stocks do come with some risks:

1. Market Risk

ETF stocks are still subject to market volatility. If the underlying assets decline in value, so will the ETF.

2. Tracking Error

Some ETFs may not perfectly replicate the performance of their index due to fees, slippage, or illiquid assets.

3. Overexposure

Because ETFs make it easy to invest, some investors may unknowingly become overexposed to a particular sector or strategy.

4. Liquidity Risk

Not all ETFs are created equal. Low-volume ETFs may have wider bid-ask spreads, increasing trading costs.

đŸȘ™ Crypto ETFs: The New Frontier

In 2025, crypto ETF stocks have become a hot trend. These funds allow investors to gain exposure to digital assets without managing private keys, wallets, or blockchain protocols.

Types of crypto ETFs include:

  • Spot ETFs: Hold actual crypto assets (e.g., Bitcoin, Ethereum).
  • Futures ETFs: Track the price of crypto futures contracts.

Popular examples in 2025 include:

  • IBIT (BlackRock Bitcoin ETF)
  • FBTC (Fidelity Bitcoin ETF)
  • ETHX (Ethereum Spot ETF)

Crypto ETFs have opened the door for institutional and traditional investors to gain exposure to the crypto market in a regulated and simplified manner.

đŸ€– How Token Metrics Helps You Trade ETF Stocks Smarter

Whether you're interested in traditional ETF stocks or crypto ETFs, Token Metrics provides the AI-powered insights you need to make better investment decisions.

🔎 1. AI-Powered Ratings

Token Metrics assigns each token or ETF a Trader Grade and Investor Grade based on price trends, volume, volatility, and technical strength—making it easy to spot outperformers.

📈 2. Bullish and Bearish Signals

AI-driven signals show when it’s time to buy or sell based on real-time metrics like ETF inflows, exchange balances, and market sentiment.

📊 3. Price Forecasts

Get access to predictive models that estimate where Bitcoin, Ethereum, and major crypto ETFs are headed—based on 80+ factors.

🔔 4. Smart Alerts

Set custom alerts for ETF stock signals, price movements, or grade changes so you never miss an opportunity.

By combining ETF investing with Token Metrics’ AI analytics, you gain an informational edge in markets that move faster than ever.

📈 Popular ETF Stocks in 2025

Here’s a list of top-performing ETF stocks across traditional and crypto sectors:

🧠 Final Thoughts

ETF stocks are a powerful investment tool in 2025, offering instant diversification, low fees, and easy access to traditional and crypto markets. Whether you're looking to build a retirement portfolio or ride the next Bitcoin rally, ETF stocks make it easier than ever to invest with confidence.

And with platforms like Token Metrics, you don’t need to guess your way through ETF trading. Use AI-driven insights, price predictions, and real-time data to get ahead of the curve—no matter what markets you trade.

Crypto Basics

What Is an ETF in Crypto? A Complete Guide for Crypto Investors in 2025

Token Metrics Team
8 min
MIN

The world of crypto investing is expanding at lightning speed. With growing institutional adoption and mainstream interest, new financial instruments are emerging to make crypto more accessible to everyday investors. One of the most impactful of these tools is the Exchange-Traded Fund (ETF) — and in 2025, crypto ETFs are playing a crucial role in shaping the future of digital asset investing.

📊 What Is an ETF?

An ETF (Exchange-Traded Fund) is a type of investment fund traded on traditional stock exchanges, just like individual stocks. ETFs hold a basket of assets such as stocks, bonds, commodities—or, in this case, cryptocurrencies.

When you buy shares of an ETF, you’re investing in a diversified portfolio managed by an institution. Instead of buying each asset individually, ETFs let you gain exposure to a group of assets through a single security.

đŸȘ™ What Is a Crypto ETF?

A crypto ETF is a special type of ETF that tracks the price of one or more cryptocurrencies, such as Bitcoin, Ethereum, or a basket of altcoins. These ETFs allow investors to gain exposure to crypto markets without needing to buy, store, or manage digital assets directly.

Crypto ETFs are listed on traditional financial exchanges (like Nasdaq or NYSE) and can be purchased via brokerage accounts—making them ideal for both institutional investors and crypto-curious retail traders.

🔍 Types of Crypto ETFs

There are two main categories of crypto ETFs:

1. Spot Crypto ETFs

  • Directly hold the underlying cryptocurrency (e.g., Bitcoin, Ethereum).
  • Track the real-time price of the asset.
  • Considered the most accurate and direct method of gaining crypto exposure.
  • Example: BlackRock’s iShares Bitcoin Trust.

2. Futures-Based Crypto ETFs

  • Do not hold actual cryptocurrency.
  • Invest in futures contracts that speculate on the asset’s future price.
  • Prone to “tracking errors” and additional management fees.
  • Example: ProShares Bitcoin Strategy ETF (BITO).

In 2025, spot ETFs have become more popular, especially after multiple approvals in major markets like the U.S., Canada, and Hong Kong.

✅ Benefits of Crypto ETFs

Crypto ETFs offer a range of advantages for investors seeking exposure to digital assets without managing crypto wallets or private keys.

1. Accessibility

  • Trade crypto exposure from a traditional brokerage account.
  • No need for crypto exchanges, wallets, or DeFi protocols.

2. Regulation and Security

  • Managed by licensed institutions and regulated by bodies like the SEC.
  • Custody solutions are handled by professionals (e.g., Coinbase Custody, Fidelity Digital).

3. Diversification

  • Some ETFs offer exposure to a basket of cryptocurrencies, reducing risk.
  • Others may focus on specific sectors like DeFi or metaverse tokens.

4. Tax and Retirement Account Eligibility

  • Can be included in IRAs, 401(k)s, and tax-advantaged portfolios in some jurisdictions.

⚠ Risks of Crypto ETFs

While crypto ETFs simplify access, they are not risk-free.

1. Management Fees

  • ETFs charge annual fees (0.20%–1.00%), which can affect long-term gains.

2. Lack of Full Ownership

  • You don’t hold the actual coins, so you can’t use them for staking, yield farming, or DeFi.

3. Volatility

  • Crypto markets are still highly volatile. ETF prices can fluctuate rapidly.

4. Tracking Errors (Futures ETFs)

  • Futures-based ETFs often lag behind the spot price of the cryptocurrency.

💡 Why Crypto ETFs Matter in 2025

The launch and adoption of crypto ETFs signal mainstream validation of the crypto market.

  • Over $60 billion has poured into Bitcoin and Ethereum ETFs since early 2024.
  • Institutional players like BlackRock, Fidelity, and ARK Invest are leading issuers.
  • Spot Bitcoin ETFs helped propel BTC above $118,000 in July 2025.
  • Regulatory green lights from the SEC, MAS, and other regulators mark a shift in global crypto policy.

Crypto ETFs reduce barriers to entry and give traditional investors a safe, regulated way to participate in the digital economy.

đŸ€– How Token Metrics Helps You Analyze Crypto ETF Trends

As ETFs drive price action, tools like Token Metrics give you an edge by turning market noise into actionable intelligence.

đŸ”č Real-Time Bullish/Bearish Signals

Token Metrics' AI algorithm scans exchange inflows, ETF data, and sentiment to issue buy/sell signals for major cryptocurrencies like Bitcoin, Ethereum, XRP, and more.

đŸ”č Institutional Flow Tracking

Track ETF fund flows to understand where institutions are allocating capital—key for timing your own entries and exits.

đŸ”č Price Predictions and Trend Grades

AI-generated price predictions, trader grades, and investor scores help you assess risk before investing in ETF-driven rallies.

đŸ”č Portfolio Tracking

Token Metrics syncs with your wallet or brokerage to track crypto ETF exposure alongside your on-chain tokens.

By using Token Metrics, you’re not just following ETF trends—you’re staying ahead of them.

🔄 Popular Crypto ETFs in 2025

Here are some of the top-performing crypto ETFs currently available:

These ETFs are helping investors tap into the gains of crypto markets—without the complexity.

🧠 Final Thoughts

Crypto ETFs represent a pivotal shift in how digital assets are being embraced in traditional finance. They offer accessibility, regulatory clarity, and simplified crypto exposure for everyone from hedge funds to retail investors.

But smart investing goes beyond headlines. Platforms like Token Metrics help you:

  • Time entries and exits with AI-powered signals

  • Track ETF fund flows to gauge institutional momentum

  • Build conviction using on-chain data and predictive analytics

In 2025 and beyond, the winning strategy is clear: combine the safety of ETFs with the intelligence of Token Metrics.

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