How to Short Bitcoin?

Crypto Basics

How to Short Bitcoin? - 5 Easy Methods to Try in 2023

Learn how to short Bitcoin with advanced strategies and check what risks are involved in shorting BTC with examples in this descriptive guide.

Token Metrics Team

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Bitcoin has gained significant attention and popularity in recent years as a decentralized digital currency. While many people invest in Bitcoin for long-term gains, others may be interested in profiting from its price decline.

This article aims to provide a comprehensive guide on how to short Bitcoin, allowing you to potentially capitalize on downward price movements.

By understanding the concept of shorting and implementing the right strategies, you can navigate the volatile nature of Bitcoin and make informed investment decisions.

What is the Process of Crypto Shorting?

Shorting, also known as short selling, is an investment strategy that involves betting on the decline in the price of an asset.

For example, when you short Bitcoin, you're essentially borrowing Bitcoin from a lender and selling it at the current market price. The goal is to buy back the Bitcoin at a lower price in the future, return it to the lender, and profit from the price difference.

Shorting Bitcoin allows you to potentially benefit from downward price movements, even in a bear market. However, it's crucial to note that shorting comes with its own set of risks and considerations.

The method of shorting Bitcoin relies on various factors, such as your inclination towards risk, the funds you have at hand, your level of expertise, and other relevant considerations. Let's explore few widely used methods to short BTC -

1. Leveraging Margin Trading: Margin trading allows you to amplify your trading position by borrowing funds from a cryptocurrency exchange. By utilizing leverage, you can open larger short positions with a smaller initial investment.

However, it is crucial to exercise caution when using leverage, as it also magnifies potential losses. Proper risk management and setting stop-loss orders are essential to protect your capital.

2. Utilizing Options and Futures: Advanced traders often utilize options and futures contracts to short Bitcoin effectively. Options provide the right, but not the obligation, to sell Bitcoin at a predetermined price within a specified time frame.

Futures contracts, on the other hand, obligate the parties involved to buy or sell Bitcoin at a predetermined price and date. These derivatives can be employed to hedge positions, manage risk, and execute more complex shorting strategies.

3. Algorithmic Trading: Algorithmic trading has gained popularity in recent years, offering advanced tools for shorting Bitcoin. By using computer algorithms, traders can automate their strategies, execute trades at high speeds, and capitalize on even the smallest price differentials.

Algorithmic trading requires in-depth programming knowledge and a comprehensive understanding of market dynamics, but it can provide a significant advantage for experienced traders.

4. Shorting Bitcoin on Exchanges: Shorting Bitcoin can be accomplished by creating an account on a cryptocurrency exchange that supports this functionality.

Several exchanges, such as Kraken, Bitmex, Bitfinex, eToro, and Binance, offer the ability to borrow Bitcoin, sell it at the current market price, and repurchase it later at a potentially lower price.

However, it's important to note that not all exchanges facilitate short selling of cryptocurrencies.

5. Using Bitcoin CFDs: A financial technique known as a contract for differences (CFD) offers a way to profit from variances in prices between the opening and closing of a trade.

Bitcoin CFDs operate similarly to Bitcoin futures, as they involve speculating on the price of the cryptocurrency. When you acquire a CFD with the expectation of price decline, you essentially take a short position on Bitcoin.

Compared to Bitcoin futures, CFDs provide greater flexibility in terms of settlement duration since they don't have predetermined settlement dates.

Moreover, in specific Bitcoin CFD markets, traders can enter into agreements based on Bitcoin's overall performance or its performance relative to fiat currency or another cryptocurrency.

Bitcoin Shorting Strategy

Here is a compilation of factors to consider when contemplating short selling Bitcoin using various shorting strategies:.

In-Depth Technical Analysis

To successfully short Bitcoin, it is crucial to have a solid grasp of technical analysis. This involves analyzing historical price data, chart patterns, and indicators to identify potential entry and exit points.

By utilizing advanced technical analysis tools, such as moving averages, Bollinger Bands, and Fibonacci retracements, you can gain a competitive edge in predicting market trends and making informed shorting decisions.

Monitoring Market Sentiment

Understanding market sentiment is another key aspect of successful Bitcoin shorting. Keeping a close eye on news, social media trends, and influential figures' opinions can provide valuable insights into the market's overall mood.

By monitoring sentiment indicators, you can gauge market expectations and position yourself strategically to capitalize on potential price drops.

Monitoring Whales and Institutional Investors

Large investors, commonly referred to as "whales," and institutional players have a significant impact on Bitcoin's price movements. By monitoring their activities, such as large-scale sell-offs or accumulations, you can gain insights into potential market trends.

Various platforms provide whale tracking tools that allow you to track these influential market participants and adjust your shorting strategies accordingly.

Fundamental Analysis

Fundamental indicators, such as Bitcoin's adoption rate, network activity, and overall market capitalization, can help in assessing the long-term value and potential price trends of the cryptocurrency.

By staying informed about these indicators and market trends, you can make more informed decisions when shorting Bitcoin.

Factors to Consider While Shorting Bitcoin

When engaging in Bitcoin shorting, it is crucial to have a thorough understanding of the key factors that significantly impact the strategy's effectiveness

Market Analysis: Conduct a thorough analysis of the Bitcoin market, examining price trends, historical data, and market indicators. This will help you identify potential opportunities for short selling.

Risk Assessment: Evaluate the risks associated with short selling Bitcoin, including market volatility, regulatory changes, and potential price fluctuations. Assessing and managing these risks is crucial for successful short selling.

Timing: Timing is key when short selling Bitcoin. Identify potential entry and exit points based on market conditions, news events, and technical analysis indicators. A well-timed short position can maximize your profits.

Stop Loss and Take Profit Orders: Set up stop loss and take profit orders to manage your risk and protect your investment. These orders automatically trigger a trade closure when the price reaches a specified level, ensuring you exit the trade at a desirable point.

Diversification: Consider diversifying your short positions by including other cryptocurrencies or financial instruments in your strategy. This can help mitigate risk and optimize your portfolio's performance.

Monitoring and Adjustments: Continuously monitor the market conditions and your short positions. Stay vigilant and be prepared to make adjustments to your strategy if market dynamics change. Regularly reassess your positions based on new information and market trends.

Professional Guidance: Consider seeking guidance from experienced traders or financial advisors who specialize in cryptocurrency investments. Their expertise can provide valuable insights and help you navigate the complexities of short selling Bitcoin.

Popular Examples of Shorting Bitcoin

These are few popular and real life examples of shorting BTC -

Example 1: The Bitcoin Bubble Burst of 2017

The cryptocurrency market experienced unprecedented growth in 2017, driven primarily by the surge in Bitcoin's price. However, this euphoria was short-lived.

In December of that year, Bitcoin's price experienced a dramatic correction, plunging from its all-time high of nearly $20,000 to around $3,000 within a year.

Many investors who had shorted Bitcoin during this period saw substantial profits as the market sentiment turned bearish.

Example 2: The China Ban on Cryptocurrency

China, a significant player in the cryptocurrency space, has often made headlines with its regulatory actions. In 2017, the Chinese government announced a ban on initial coin offerings (ICOs) and shut down numerous cryptocurrency exchanges.

These actions led to a significant drop in Bitcoin's price as market participants anticipated a decline in demand. Traders who were short on Bitcoin during this period benefited from the downward trend caused by the ban.

Example 3: The Tesla Short Squeeze

In early 2021, Tesla, the electric vehicle manufacturer led by Elon Musk, announced a $1.5 billion investment in Bitcoin. This move sparked a rally in Bitcoin's price and caught many short sellers off guard.

However, a few months later, Tesla announced that it would no longer accept Bitcoin as payment, causing the cryptocurrency's price to plummet. Short sellers who had anticipated the reversal profited from this volatility in the market.

These examples demonstrate the diverse range of events and circumstances where shorting Bitcoin has been a profitable strategy.

Is Shorting Bitcoin Risky?

Shorting Bitcoin carries significant risks due to its unpredictable price fluctuations. Traders who short Bitcoin borrow and sell it with the expectation of buying it back at a lower price.

However, if the price rises instead, losses can occur. Bitcoin's decentralized nature and susceptibility to market manipulation increase the risk further.

To mitigate these risks, traders should assess their risk tolerance and employ robust risk management strategies, such as setting stop-loss orders and diversifying their portfolios.

Frequently Asked Questions

Q1. Can I short Bitcoin without using a broker?

Shorting Bitcoin typically requires using a broker as they facilitate the borrowing and selling of the cryptocurrency. Brokers provide the necessary infrastructure and regulatory compliance to execute short trades effectively.

Q2. What risks are associated with shorting Bitcoin?

Shorting Bitcoin carries several risks, including potential losses if the price rises instead of falling. Additionally, market volatility and unexpected events can lead to significant price fluctuations, making it crucial to carefully manage your position and implement risk management strategies.

Q3. Can I short Bitcoin using leverage?

Yes, many brokers offer leverage, allowing traders to amplify their short positions. However, it's important to exercise caution when using leverage, as it also increases the potential for losses.

Q4. Are there any tax implications when shorting Bitcoin?

Tax regulations regarding shorting Bitcoin vary across different jurisdictions. It's crucial to consult with a tax professional to understand the specific tax obligations and implications associated with shorting Bitcoin in your country.

Q5. Is shorting Bitcoin suitable for beginners?

Shorting Bitcoin can be complex and involves a certain level of risk. It's generally recommended for experienced traders who have a solid understanding of market dynamics and risk management strategies.

Beginners are advised to first gain a thorough understanding of cryptocurrency trading before attempting to short Bitcoin.

Conclusion

Shorting Bitcoin in 2023 can be a profitable strategy if executed with careful planning and a comprehensive understanding of market dynamics.

Remember to choose a reliable broker, conduct thorough market analysis, and employ risk management strategies to protect your investments.

However, it's crucial to note that shorting Bitcoin carries inherent risks, and traders should only risk what they can afford to lose.

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

Token Metrics Team

MIN

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

REST and WebSocket: Core Concepts for Crypto APIs

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

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

Performance, Latency, and Reliability for Crypto Bots

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

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

Scalability, Security, and Use Cases in Crypto API Comparison

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

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

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

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

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

Practical Tips for Comparing REST vs WebSocket Crypto APIs

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

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

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FAQ: REST vs WebSocket Crypto APIs for Bots in 2025

What are the main differences between REST and WebSocket APIs?

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

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

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

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

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

Are there security differences between REST and WebSocket crypto APIs?

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

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

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

Disclaimer

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

Research

Avoid These Common Pitfalls When Creating Your First Crypto Trading Bot

Token Metrics Team

MIN

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

Jumping in Without Market or Technical Knowledge

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

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

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

Overlooking Risk Management Essentials

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

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

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

Choosing Unstable or Unsafe Exchange APIs

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

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

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

Failing to Backtest and Simulate Bot Performance

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

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

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

Neglecting Security and Compliance Considerations

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

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

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

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

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

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

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

What are best practices for managing API keys securely?

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

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

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

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

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

Disclaimer

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

Research

Mastering Binance & Coinbase APIs for Automated Crypto Trading

Token Metrics Team

MIN

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

What Are Crypto Trading APIs?

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

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

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

Getting Started with Binance API Trading

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

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

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

Unlocking the Power of the Coinbase API

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

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

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

Key Challenges and Considerations in Automated Crypto Trading

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

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

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

Leveraging AI and Advanced Analytics for Crypto API Trading

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

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

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FAQ: How Do Binance and Coinbase APIs Compare?

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

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

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

FAQ: How Do I Keep My API Keys Secure?

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

FAQ: Can I Use Multiple Exchange APIs Together?

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

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

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

Disclaimer

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

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

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

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

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

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

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