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Crypto Basics

What Are Zero Knowledge Proofs and How Does it Work?

Learn everything about zero knowledge proofs and discover how this cutting-edge technology works and reshapes digital space.
S. Vishwa
7 Minutes
MIN
Index

In today's data-driven world, privacy and security are of paramount importance. One emerging technology that addresses these concerns is zero-knowledge proofs (ZKPs). 

ZKPs allow for the verification of information without revealing the underlying data, providing a high level of security and privacy. 

This comprehensive guide will explore the fundamentals of zero-knowledge proofs, how they work, their applications, and the benefits they offer. So, let's dive in!

What are Zero-Knowledge Proofs?

Zero-knowledge proofs (ZKPs) are cryptographic protocols that enable one party, known as the prover, to convince another party, the verifier, that a statement is true without revealing any details about the statement itself. 

The concept of zero-knowledge proofs was first introduced in the early 1980s by researchers Shafi Goldwasser, Silvio Micali, and Charles Rackoff.

A good zero-knowledge proof should fulfill three criteria: completeness, soundness, and zero-knowledge. Completeness ensures that the verifier will accept the proof if the statement is true and both parties adhere to the protocol. 

Soundness guarantees that if the statement is false, no dishonest prover can convince an honest verifier otherwise. 

Zero-knowledge ensures that even after engaging with the prover, the verifier only learns the truth of the statement and nothing else about the secret.

How do Zero-Knowledge Proofs Work?

Zero-knowledge proofs allow a prover to persuade a verifier of the validity of a statement without disclosing any information about the statement itself. 

The prover and the verifier engage in multiple rounds of interaction. At the end of the protocol, the verifier gains confidence in the statement's truth without learning any additional information about the secret.

To illustrate how zero-knowledge proofs work, let's consider the "Three Color Problem," also known as the "Graph Coloring Problem." 

The goal is to color each map region with one of three colors so that no neighboring regions have the same color. The prover wants to convince the verifier that they know a valid three-coloring for the given map without revealing the actual colors assigned to each region.

The protocol consists of several rounds: setup, statement, commitment, challenge, response, and iteration. In the setup phase, the prover and verifier agree on the map's regions and connections. In the statement phase, the prover asserts to have a reliable three-coloring for the map. 

The commitment phase involves the prover choosing colors for each region in secret and providing commitments to the verifier without revealing the actual colors. The challenge phase requires the verifier to choose a random region and request the prover to open the commitment for that region, revealing its color. 

The response phase involves the prover proving the accuracy of the revealed coloring by demonstrating the color differences between adjacent regions. The iteration phase repeats the challenge and response steps multiple times to establish a high degree of trust in the validity of the prover's assertion.

Throughout the protocol, the verifier becomes confident that the prover possesses a valid three-coloring without learning the actual colors assigned to each region. 

This exemplifies the zero-knowledge property of the proof, as the verifier gains knowledge about the truth of the statement without obtaining any additional information.

Types of Zero-Knowledge Proofs

There are several types of zero-knowledge proofs, each suited for different use cases. Let's explore some of the most commonly used types:

Interactive Zero-Knowledge Proofs

Interactive zero-knowledge proofs require back-and-forth communication between the prover and verifier. They involve multiple rounds of interaction, as seen in the "Three Color Problem" example.

Non-Interactive Zero-Knowledge Proofs

Non-interactive zero-knowledge proofs provide a compact proof that can be verified in a single step. They eliminate the need for repeated back-and-forth communication between the prover and verifier.

Statistical Zero-Knowledge Proofs

Statistical zero-knowledge proofs offer computational soundness with a small probability of error. They allow for probabilistic verification, making them suitable for scenarios where a small margin of error is acceptable.

Proof-of-Knowledge

Proof-of-knowledge (PoK) is a subclass of zero-knowledge proofs that demonstrates the prover's possession of specific knowledge related to the statement. It shows that the prover knows something without revealing what that something is.

Proofs of Shuffle and Range

Proofs of shuffle and range are used in electronic voting systems and privacy-preserving transactions. They allow for the verification of the correct shuffling of votes or the validation of values falling within a specific range without disclosing the actual votes or values.

Sigma Protocols

Sigma protocols are a class of zero-knowledge proofs that involve three steps: commitment, challenge, and response. They are widely used in various applications, including digital signatures and secure authentication.

Bulletproofs

Bulletproofs are designed to provide efficient range proofs for large sets of values. They enable efficient verification of values within a specified range without revealing the actual values themselves. Bulletproofs have been successfully used in privacy-focused cryptocurrencies such as Monero.

These are just a few examples of the types of zero-knowledge proofs available. Each type has its characteristics and use cases, making zero-knowledge proofs a versatile tool for achieving privacy and security in various domains.

Applications of Zero-Knowledge Proofs

Zero-knowledge proofs find applications in a wide range of fields and address important privacy and security concerns. Let's explore some of the key applications of zero-knowledge proofs:

Privacy-Preserving Cryptocurrencies

One prominent application of zero-knowledge proofs is in privacy-focused cryptocurrencies such as Zcash (ZEC). Zero-knowledge proofs allow for anonymous transactions without revealing the transaction details or the identities of the users. This enhances transaction privacy and confidentiality in blockchain networks.

Authentication and Access Control

Zero-knowledge proofs can be used in authentication and access control systems to demonstrate knowledge of a password or cryptographic key without revealing the actual password or key itself. This provides secure and user-friendly authentication techniques while preserving privacy.

Electronic Voting Systems

Zero-knowledge proofs play a crucial role in electronic voting systems. They enable voters to prove the legitimacy of their vote without disclosing their actual vote. This protects both voter privacy and the integrity of the electoral process.

Secure Data Transfer and Verification

Zero-knowledge proofs allow for secure data transfer and verification. They enable one party to demonstrate the accuracy of computations performed on private data without revealing the data itself. This is particularly useful in scenarios where data privacy is paramount, such as healthcare or financial applications.

Central Bank Digital Currencies (CBDCs)

Zero-knowledge proofs can enhance transaction privacy in central bank digital currencies (CBDCs). Zero-knowledge proofs enable auditability without disclosing transaction specifics by balancing privacy and transparency. This can contribute to adopting and accepting CBDCs while upholding user anonymity.

These are just a few examples of the diverse applications of zero-knowledge proofs. The versatility of zero-knowledge proofs makes them a valuable tool for enhancing privacy, security, and confidentiality in various domains.

Disadvantages of Zero-Knowledge Proofs

While zero-knowledge proofs offer significant benefits, they also come with certain disadvantages. Considering these drawbacks when evaluating the suitability of zero-knowledge proofs for a specific use case is important. Let's explore some of the key disadvantages:

Computational Intensity

Developing and verifying zero-knowledge proofs can be computationally intensive, especially for complex proofs. This can result in longer processing times for transactions and increased computational workload, which may pose challenges for the scalability of blockchain systems.

Complexity and Auditability

Zero-knowledge proofs can add complexity to protocols, making them more difficult to audit and verify. The intricate nature of zero-knowledge proofs may raise concerns about potential security flaws or bugs in the implementation.

Potential for Illegal Activity

While zero-knowledge proofs enhance privacy by hiding information, they may also facilitate illegal activities in certain situations. This poses challenges for regulatory compliance and may require additional measures to prevent misuse of zero-knowledge proofs.

Limited Applicability

Zero-knowledge proofs may not be suitable for all use cases or sectors. They require expertise and experience to implement correctly, which may limit their widespread adoption across different fields.

While zero-knowledge proofs offer valuable privacy and security features, it is essential to carefully assess the associated trade-offs and challenges before incorporating them into specific systems or applications.

Conclusion

Zero-knowledge proofs are a powerful cryptographic tool that enables the verification of information without revealing the underlying data. 

They offer enhanced privacy, security, and confidentiality, making them valuable in various applications. From privacy-focused cryptocurrencies to secure data transfer and authentication, zero-knowledge proofs provide solutions to critical challenges in the digital era. 

However, it is important to consider zero-knowledge proofs' computational intensity, complexity, and potential limitations when evaluating their suitability for specific use cases. 

By leveraging the benefits and addressing the challenges, zero-knowledge proofs can unlock new levels of privacy and security in our increasingly interconnected world.

Disclaimer

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

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

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Crypto Basics

How Do Taxes Work for Crypto Trading?

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Cryptocurrency trading can be exciting and profitable, but one thing many traders overlook is taxation. Whether you’re buying Bitcoin, trading altcoins, or earning staking rewards, your activities can create taxable events—and failure to report them properly can lead to hefty penalties.

If you’ve been wondering, “How do taxes work for crypto trading?”, this guide breaks it all down. We’ll explain how crypto taxes work, the most common taxable events, and how Token Metrics can help you make smarter, tax-conscious trading decisions.

Are Cryptocurrencies Taxed?

Yes. In most countries, cryptocurrencies are treated as property, not currency, for tax purposes. This means:

  • Buying crypto with fiat (e.g., USD → BTC) is not taxable by itself.

  • Selling, swapping, or spending crypto is a taxable event.

  • Earning crypto (through staking, mining, or airdrops) is taxable income.

While tax laws vary by country, the principle is the same: any gain or income from crypto is subject to taxation.

Common Taxable Events in Crypto

To manage your taxes effectively, you need to know what counts as a taxable event.

1. Selling Crypto for Fiat

If you sell Bitcoin, Ethereum, or any other crypto for fiat currency, you must report capital gains or losses.

Example:

  • You bought 1 BTC for $20,000 and sold it for $40,000.

  • Your capital gain is $20,000—which is taxable.

2. Trading One Crypto for Another

Swapping one crypto for another (e.g., BTC → ETH) is also a taxable event.

Why?

  • You’re considered to have “sold” BTC at its fair market value and “bought” ETH.

3. Spending Crypto on Goods or Services

Using crypto to buy a car, laptop, or coffee? That’s a taxable event too.

Example:

  • You bought 1 ETH at $1,000.

  • You used it to buy goods when ETH was worth $2,000.

  • The $1,000 gain is taxable.

4. Earning Crypto

  • Staking & Mining Rewards: Counted as ordinary income at the time you receive them.

  • Airdrops & Hard Forks: The value at the time you receive them is taxable income.

5. DeFi & NFT Transactions

DeFi activities like yield farming, lending, or NFT trading may also trigger complex taxable events depending on jurisdiction.

Capital Gains: Short-Term vs. Long-Term

When you sell crypto, your profit is classified as a capital gain—either short-term or long-term.

  • Short-Term Gains:
    • Assets held less than 12 months.

    • Taxed at your ordinary income tax rate (higher).

  • Long-Term Gains:
    • Assets held more than 12 months.

    • Taxed at reduced capital gains rates (in many jurisdictions).

Pro Tip: Holding crypto for at least a year can significantly lower your tax burden.

How to Calculate Your Crypto Taxes

Step 1: Track Every Transaction

Record:

  • Date & time of the trade.

  • Type of transaction (buy, sell, swap).

  • Amount & value in fiat currency.

  • Fees paid.

Step 2: Determine Cost Basis

Your cost basis is how much you paid for the asset (including fees).

Step 3: Calculate Gains/Losses

Subtract your cost basis from the selling price:

  • Profit = Taxable gain

  • Loss = Tax-deductible (in some countries).

Step 4: Report Income

Report staking, mining, and airdrop rewards as ordinary income at their market value when received.

How Token Metrics Helps with Tax-Efficient Trading

Staying compliant doesn’t just mean reporting correctly—it means trading smartly to reduce your tax burden. That’s where Token Metrics can help.

1. AI-Powered Portfolio Tracking

Track all your crypto holdings across exchanges and wallets, making tax reporting easier.

2. Long-Term vs. Short-Term Insights

Use Investor Grades to identify cryptos worth holding long-term, reducing your tax liability on gains.

3. Strategic Trade Timing

Get AI-powered trading signals to make smarter decisions on when to sell—balancing profits and taxes.

4. Narrative Tracking

Spot emerging narratives (AI tokens, DeFi trends) early, allowing you to plan tax-friendly entries and exits.

Strategies to Minimize Crypto Taxes

  1. Hold for Over a Year: Qualify for long-term capital gains rates.

  2. Harvest Losses: Sell underperforming assets to offset taxable gains.

  3. Use Tax-Friendly Accounts: Some countries allow crypto investments in tax-advantaged accounts.

  4. Gift Crypto: In certain jurisdictions, gifting crypto can reduce tax exposure.

  5. Use AI for Smart Exits: Token Metrics can help you plan trades strategically to minimize taxable events.

Common Mistakes to Avoid

  • Not tracking transactions: Without records, you can’t calculate accurate gains/losses.

  • Ignoring swaps: Trading crypto-to-crypto is still taxable.

  • Forgetting airdrops/staking rewards: These are considered income at receipt.

  • Panic-selling without strategy: Leads to high taxes and missed opportunities.

Global Variations in Crypto Taxes

Tax treatment varies by country:

  • U.S.: IRS treats crypto as property.

  • UK: HMRC applies Capital Gains Tax on disposals.

  • Australia: ATO taxes crypto as property.

  • EU: Policies vary by member state but generally treat crypto as assets.

Always consult a crypto tax professional for advice in your jurisdiction.

Practical Example

Let’s say you:

  • Bought 2 ETH at $1,500 each ($3,000 total).

  • Sold 1 ETH at $3,000.

  • Your gain: $1,500 (minus fees).

  • If you held for over a year, you pay long-term capital gains tax. If not, it’s short-term at a higher rate.

With Token Metrics, you could track purchase dates and AI signals to time your exit strategically—potentially saving on taxes.

Final Thoughts

So, how do taxes work for crypto trading?

  • Selling, swapping, and spending crypto are taxable events.

  • Staking, mining, and airdrops are taxed as income.

  • Holding for over a year often reduces your tax bill.

The key to staying compliant and minimizing taxes is tracking transactions, planning trades strategically, and using the right tools.

That’s where Token Metrics helps. With AI-driven portfolio tracking, tax-efficient trading insights, and market analytics, Token Metrics empowers you to trade smarter, reduce taxable events, and keep more of your profits.

Don’t just trade crypto—trade tax-smart.

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What Are Limit Orders vs. Market Orders?

Token Metrics Team
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When you trade cryptocurrency, you’ll come across different types of orders—market orders and limit orders being the two most common. Understanding how they work is essential for controlling your entry and exit points, minimizing slippage, and making better trading decisions.

If you’ve ever wondered, “What’s the difference between limit orders and market orders?”, you’re in the right place. This guide will break it down in detail, explain when to use each, and show how Token Metrics helps you execute smarter trades with AI-powered insights.

What Is a Market Order?

A market order is the simplest type of trade. It tells an exchange:

“Buy or sell this cryptocurrency at the best available price right now.”

How It Works:

  • When you place a market order to buy, the system instantly matches you with sellers at the lowest available price.

  • When you place a market order to sell, it instantly matches you with buyers at the highest available price.

Advantages of Market Orders:

  1. Instant Execution: Your trade goes through immediately.

  2. Simplicity: Perfect for beginners who want fast transactions.

  3. Useful in High-Volatility Conditions: If you need to enter or exit a trade quickly, market orders are your best bet.

Disadvantages of Market Orders:

  1. Slippage: If liquidity is low or the market moves quickly, you might pay more (or receive less) than expected.

  2. No Price Control: You accept whatever price the market offers at that moment.

Example:
 If Bitcoin is trading at $40,000 and you place a market order for 1 BTC, you may end up paying $40,050 if the price moves up in the milliseconds it takes to execute your trade.

What Is a Limit Order?

A limit order gives you more control. It tells an exchange:

“Buy or sell this cryptocurrency at this specific price (or better).”

How It Works:

  • When you place a buy limit order, you set the maximum price you’re willing to pay.

  • When you place a sell limit order, you set the minimum price you’re willing to accept.

  • The order stays open until the market reaches your price—or until you cancel it.

Advantages of Limit Orders:

  1. Price Control: You won’t pay more (or sell for less) than your chosen price.

  2. Better for Planning: Ideal for setting up trades without constantly watching the market.

  3. Lower Fees: Some exchanges offer lower “maker” fees for limit orders since they add liquidity.

Disadvantages of Limit Orders:

  1. No Guarantee of Execution: If the market doesn’t reach your price, your order won’t go through.

  2. Slower Execution: Not suitable for urgent trades in fast-moving markets.

Example:
 If Bitcoin is trading at $40,000, you could set a buy limit order at $39,500. If the price dips to that level, your order fills. If it doesn’t, you won’t buy.

Limit Orders vs. Market Orders: Key Differences

When Should You Use Market Orders?

Market orders are best when:

  • You need speed: Entering or exiting a trade quickly.

  • The market is highly liquid: For large-cap coins like Bitcoin and Ethereum, slippage is minimal.

  • News-based trading: When reacting to breaking news or sudden price surges.

When Should You Use Limit Orders?

Limit orders are best when:

  • You want price control: Setting entries at discount levels or selling at specific profit targets.

  • You’re trading low-liquidity coins: Prevents overpaying due to slippage.

  • You’re building a strategy: Setting multiple entries and exits without active monitoring.

How Token Metrics Helps You Use Market & Limit Orders Effectively

Placing orders is one thing—placing them at the right time is what makes you profitable. That’s where Token Metrics helps.

1. AI-Powered Trading Signals

Get real-time bullish and bearish alerts based on 80+ technical indicators, helping you know when to execute market or limit orders for maximum efficiency.

2. Trader & Investor Grades

Use Trader Grades for short-term trading opportunities (perfect for market orders) and Investor Grades for long-term accumulation (ideal for limit orders).

3. Narrative Tracking

Our AI identifies emerging narratives—like AI tokens or DeFi plays—so you can strategically place limit orders before trends take off.

4. AI-Managed Indices

Don’t want to place manual orders? Token Metrics’ AI-managed portfolios automatically rebalance based on market conditions, helping you avoid constant order management.

Practical Example: Combining Both Orders

Imagine you’re trading Ethereum (ETH):

  • Step 1: Token Metrics issues a bullish signal at $2,400, projecting a potential breakout.

  • Step 2: You place a market order to enter quickly at $2,400 to catch the momentum.

  • Step 3: You set a limit sell order at $2,700 to automatically secure profits without monitoring the chart.

This combination allows you to enter fast and exit smart—with less emotional stress.

Advanced Tips for Using Limit & Market Orders

  1. Use Stop-Limit Orders: Combine stop-loss and limit functions to protect against big losses.

  2. Layer Your Limit Orders: Place multiple buy/sell limits at different price levels for better cost averaging.

  3. Avoid Market Orders on Illiquid Coins: Slippage can cost you significantly.

  4. Use AI for Timing: Token Metrics helps you time entries and exits—so you’re not just placing random orders.

Final Thoughts

So, what’s the difference between limit orders and market orders?

  • Market orders are for speed—you get the trade done instantly at the best available price.

  • Limit orders are for control—you set the exact price you want to buy or sell.

The key is knowing when to use each—and using data-driven insights to make those decisions.

That’s where Token Metrics gives you an edge. With AI-powered trading signals, narrative tracking, and automated portfolio tools, Token Metrics helps you decide when to use market vs. limit orders, so you can trade confidently and profitably.

In crypto trading, timing is everything—and Token Metrics makes timing smarter.

Research

How Do I Manage Risk in Crypto Trading?

Token Metrics Team
8 min
MIN

Cryptocurrency trading can be highly profitable—but it’s also one of the riskiest markets in the world. Prices can swing wildly in seconds, projects can collapse overnight, and emotional decisions often lead to costly mistakes.

If you want to survive (and thrive) in crypto trading, you must learn how to manage risk effectively. In this guide, we’ll break down why risk management is critical, the top strategies to protect your capital, and how Token Metrics can help you trade smarter, safer, and with more confidence using AI-driven insights.

Why Risk Management Is Non-Negotiable in Crypto

In traditional markets, a 5% price movement is big news. In crypto? Daily moves of 10–20% are normal.

  • High volatility: Crypto is more speculative than stocks or forex.
  • Unregulated space: Scams and market manipulation are more common.
  • Emotional trading: Fear and FOMO lead to poor decisions.

Without a solid risk management plan, even experienced traders can lose everything.

Top Risk Management Strategies for Crypto Trading

1. Only Invest What You Can Afford to Lose

This is rule number one.

  • Never invest rent, emergency savings, or money you can’t afford to lose.
  • Treat crypto like a high-risk asset class—because it is.

2. Diversify Your Portfolio

Don’t put all your funds into one token.

  • Spread across different coins & sectors: Bitcoin, Ethereum, AI tokens, DeFi, etc.
  • Balance risk levels: Mix large-cap coins with small-cap moonshots.

How Token Metrics Helps:
 Use AI-driven indices to build a diversified, auto-rebalanced portfolio aligned with your risk tolerance.

3. Use Stop-Loss Orders

Set stop-loss levels to automatically sell if prices fall below a certain threshold.

  • Prevents small losses from becoming catastrophic.
  • Helps maintain discipline during market dips.

Pro Tip: Place stops at strategic support levels, not random round numbers.

4. Size Your Positions Properly

Don’t go “all-in” on one trade.

  • Position sizing ensures no single trade wipes out your portfolio.
  • A common rule: risk 1–2% of your capital per trade.

5. Avoid Overleveraging

Leverage amplifies gains—but also losses.

  • Start with low or no leverage until you’re experienced.
  • High leverage trading can lead to instant liquidation in volatile markets.

6. Keep Emotions in Check

Fear, greed, and FOMO (fear of missing out) destroy portfolios.

  • Stick to your strategy.
  • Don’t chase pumps or panic-sell during dips.

How Token Metrics Helps:
 Our AI-powered bullish and bearish signals take emotions out of trading by giving you data-backed entry and exit points.

7. Stay Informed

Markets move on news—regulations, partnerships, or even tweets.

  • Follow credible sources for updates.
  • Use narrative tracking to spot market-shifting trends early.

How Token Metrics Helps:
 Our AI tracks emerging narratives (e.g., AI tokens, DeFi, RWAs), so you can adjust positions before the crowd reacts.

8. Use Risk/Reward Ratios

Before entering a trade, ask:

  • Is the potential reward worth the risk?
  • Aim for at least a 2:1 or 3:1 reward-to-risk ratio.

9. Practice Secure Asset Storage

Risk management isn’t just about trades—it’s also about keeping your crypto safe.

  • Use hardware wallets for long-term holdings.
  • Enable 2FA on exchanges.

10. Review & Adjust Your Strategy

Markets evolve—your plan should too.

  • Track your wins and losses.
  • Optimize your strategy using performance data.

How Token Metrics Helps You Manage Risk

Token Metrics isn’t just a research platform—it’s an AI-powered risk management assistant.

1. AI-Powered Trade Insights

Get real-time bullish and bearish signals to time entries and exits more effectively—reducing impulsive trades.

2. Trader & Investor Grades

Quickly assess tokens for short-term trading potential (Trader Grade) or long-term viability (Investor Grade)—helping you avoid high-risk projects.

3. AI-Managed Indices

Use auto-rebalanced AI indices to maintain diversification and reduce risk exposure.

4. Moonshot Finder

Interested in high-risk, high-reward tokens? Our Moonshot Finder filters low-cap projects using AI, helping you avoid scams and rug pulls.

5. Narrative Detection

Our AI tracks emerging narratives so you can anticipate market movements early—reducing exposure to collapsing trends.

Example: Risk Management Using Token Metrics

Imagine you want to invest $5,000 in crypto:

  • Without Token Metrics: You randomly choose 3 coins based on hype and YouTube videos. Two collapse, and your portfolio drops 50%.

  • With Token Metrics: You build a diversified AI-managed index of large-cap and promising small-cap tokens, use stop-loss levels, and set alerts for bullish/bearish signals. Your portfolio drops only 10% in a downturn—saving thousands.

This is how data-driven trading transforms risk into opportunity.

Practical Risk Management Checklist

  1. Never invest more than you can afford to lose.

  2. Diversify across coins and sectors.

  3. Use stop-loss orders to cap losses.

  4. Avoid overleveraging at all costs.

  5. Set realistic reward-to-risk ratios (2:1 or better).

  6. Use AI-powered tools like Token Metrics for smarter trades.

  7. Stay informed about news and emerging narratives.

  8. Secure your assets with hardware wallets and 2FA.

  9. Track and adjust your trading strategy regularly.

  10. Trade with logic, not emotions.

Final Thoughts

So, how do you manage risk in crypto trading? It’s about balancing your portfolio, using smart tools, and staying disciplined.

While volatility is unavoidable, you can control how much you’re exposed to it. With Token Metrics, you gain AI-powered insights, trade signals, and portfolio tools that help you reduce risks while maximizing opportunities.

In crypto, it’s not just about making profits—it’s about keeping them.

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

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

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

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

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

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