Crypto Basics

What Is Cryptocurrency Market Cap? A Comprehensive Guide

Discover the significance of cryptocurrency market cap and how it impacts investments. Learn the essentials in our comprehensive article. Read more now!
Token Metrics Team
6 min
MIN

Understanding the cryptocurrency market cap is fundamental for anyone interested in investing or trading digital currencies. Market capitalization, often referred to as market cap, is a key metric that reflects the total value of a cryptocurrency in the market. Cryptocurrency market capitalization represents the total value of all coins that have been mined for a specific cryptocurrency or all cryptocurrencies combined. This article will explore what cryptocurrency market cap means, how it is calculated, and why it matters for investors navigating the dynamic crypto market.

Introduction to Market Capitalization

Market capitalization represents the total value of a cryptocurrency's circulating coins in the market. It is a crucial metric used by investors and professionals to gauge the relative size and importance of a digital currency within the crypto ecosystem. Understanding market cap is essential for making informed investment decisions, as it provides a snapshot of a cryptocurrency’s size, popularity, and growth potential.

The market cap of a cryptocurrency is calculated by multiplying its current price by the number of coins in circulation. This simple formula offers insight into the cryptocurrency’s total value and helps investors compare different crypto assets effectively. By knowing the market cap, investors can better understand a cryptocurrency’s position in the market and assess its potential for future growth.

Crypto Market Cap and Circulating Supply

To fully grasp the concept of crypto market cap, it is important to understand the role of circulating supply. The circulating supply refers to the number of coins currently available and actively traded in the market. It is this supply that determines the crypto market cap when multiplied by the cryptocurrency’s current price.

Circulating supply is distinct from total supply, which includes all coins that have been created, including those not yet available for trading or locked in reserves. For example, some projects may have a large total supply but a smaller circulating supply due to tokens held by the development team or locked in smart contracts. Recognizing the difference between circulating supply and total supply is vital when evaluating a cryptocurrency’s market capitalization and its potential impact on price and growth.

Calculation and Importance

Market cap is calculated by multiplying the current price of a cryptocurrency by its circulating supply, providing a real-time measure of the asset's total value in dollars or other fiat currencies. This calculation is dynamic, as both price and circulating supply can fluctuate, causing the market cap to change rapidly.

This metric is important because it helps investors assess the size and value of a cryptocurrency relative to others in the crypto market. A higher market cap often indicates a more established and widely adopted cryptocurrency, such as Bitcoin or Ethereum, which tend to have greater network security and liquidity. Conversely, a low market cap may signal a newer or more speculative digital asset, often associated with higher risk and volatility.

Understanding market cap allows investors to make informed choices by comparing the total value of different cryptocurrencies and evaluating their potential for growth or decline.

Investment Strategies and Market Trends

Market capitalization plays a significant role in shaping investment strategies within the crypto market. It influences the level of risk investors are willing to take and the potential returns they might expect. Cryptocurrencies are categorized into three market cap sizes: large-cap (over $10 billion), mid-cap ($1 billion to $10 billion), and small-cap (under $1 billion). Large cap cryptocurrencies, typically those with a market cap exceeding $10 billion, are generally less volatile and more stable. These assets are favored by conservative investors who prioritize security and steady growth.

On the other hand, mid cap and small cap cryptocurrencies often present higher growth potential but come with increased risk and price volatility. Small cap cryptocurrencies may be more susceptible to market fluctuations and liquidity challenges but can offer substantial returns if their underlying projects succeed.

Staying informed about market trends and understanding how market cap affects demand, liquidity, and price movements are essential for developing effective investment strategies. Investors who respond appropriately to these factors are better positioned to capitalize on opportunities and mitigate risks.

Characteristics of a Liquid Market

A liquid market is characterized by the ability to quickly buy or sell assets without causing significant price changes. In the crypto market, liquidity is a critical factor affecting volatility and trading volume. High liquidity means that there is a large number of buyers and sellers, facilitating smooth transactions and reducing price manipulation risks.

Cryptocurrencies with a high market cap tend to have more liquid markets due to their popularity and widespread adoption. This liquidity attracts institutional investors and traders who require the ability to enter and exit positions efficiently. Conversely, small cap cryptocurrencies may suffer from low liquidity, leading to higher volatility and wider bid-ask spreads.

A liquid market with high trading volume provides better price stability and more trading opportunities, making it more attractive for both short-term traders and long-term investors.

The Crypto Market Ecosystem

The crypto market ecosystem is a complex and evolving environment influenced by various factors beyond market cap. Blockchain technology underpins all cryptocurrencies, providing the decentralized infrastructure that ensures transparency and security. Network security, driven by consensus mechanisms and the number of active nodes, plays a crucial role in maintaining trust and stability in the market.

Institutional investors have increasingly entered the crypto market, bringing greater capital, legitimacy, and scrutiny. Their participation often affects market trends and can lead to increased liquidity and reduced volatility in large cap cryptocurrencies.

Understanding this ecosystem and the interplay of technology, investor behavior, and market dynamics is essential for anyone looking to navigate the crypto market successfully. The market is constantly responding to new technologies, regulatory developments, and shifts in investor sentiment.

Large Cap Cryptocurrencies

Large cap cryptocurrencies, such as Bitcoin and Ethereum, dominate the crypto market with market caps exceeding $10 billion. These digital assets are widely regarded as more stable and less volatile compared to smaller cryptocurrencies. Their established track records and strong network security make them attractive safe havens during periods of market uncertainty.

Large cap cryptocurrencies benefit from high liquidity and trading volume, which contribute to better price stability and ease of trading. However, because of their already substantial market capitalization, these assets may experience slower price growth compared to mid or small cap cryptocurrencies.

Investors often include large cap cryptocurrencies in their portfolios to provide balance and reduce overall risk.

Growth Potential and Analysis

While large cap cryptocurrencies offer stability, mid cap and small cap cryptocurrencies often present greater growth potential. These smaller crypto assets may be in earlier stages of development, with innovative projects and technologies that can lead to significant price appreciation.

Analyzing growth potential involves examining a cryptocurrency’s market cap, trading volume, underlying blockchain technology, and the strength of its project or business model. Investors also consider factors such as tokenomics, total supply, and network security to assess long-term viability.

However, higher growth potential comes with increased risk, including higher volatility and liquidity challenges. Investors must carefully weigh these factors and conduct thorough research before committing to investments in smaller cap cryptocurrencies.

Developing Effective Investment Strategies

Crafting effective investment strategies in the crypto market requires a comprehensive understanding of market trends, risk management, and portfolio diversification. Investors should clearly define their investment goals and risk tolerance before entering the market.

Market capitalization is a critical consideration in strategy development, as it affects liquidity, volatility, and potential returns. Diversifying investments across large cap, mid cap, and small cap cryptocurrencies can help balance risk while capturing growth opportunities.

Staying informed about the latest market trends, technological advancements, and regulatory changes is essential. Investors should be prepared to adapt their strategies as the crypto market evolves, responding to shifts in demand, supply, and broader economic factors.

In conclusion, understanding what cryptocurrency market cap is and how it influences the crypto market is vital for making informed investment decisions. By considering market cap alongside other metrics such as circulating supply, trading volume, and network security, investors can navigate the complex world of digital assets with greater confidence and success.

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Token Metrics Team

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AI Crypto Trading with Token Metrics Crypto API and OpenAI Agents SDK: The Future of Autonomous Crypto Intelligence

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Why This Integration Matters

Developer demand for high-fidelity market data has never been higher, and so has the need for agentic AI that can act on that data. Token Metrics delivers one of the best crypto API experiences on the market, streaming tick-level prices, on-chain metrics, and proprietary AI grades across 6,000+ assets. Meanwhile, OpenAI’s new Agents SDK gives engineers a lightweight way to orchestrate autonomous AI workflows—without the overhead of a full UI—by chaining model calls, tools, and memory under a single, developer-friendly abstraction. Together they form a plug-and-play stack for building real-time trading bots, research copilots, and portfolio dashboards that think and act for themselves.

A Quick Primer on the Token Metrics Crypto API & SDK

  • Comprehensive Coverage: Tick-level pricing, liquidity snapshots, and on-chain activity for thousands of tokens.
  • Actionable AI: Trader and Investor Grades fuse technical, on-chain, social, and venture-funding signals into a single score that beats raw price feeds for alpha generation.
  • Ready-Made Signals: Long/short entries and back-tested model outputs arrive via one endpoint—perfect for time-critical agents.
  • Instant Integration: Official Python and TypeScript SDKs handle auth, retries, and pandas helpers so you can prototype in minutes.

Because the service unifies raw market data with higher-level AI insight, many builders call it the token metrics crypto API of choice for agentic applications.

What Sets the OpenAI Agents SDK Apart

Unlike prior frameworks that mixed business logic with UI layers, the Agents SDK is headless by design. You write plain TypeScript (or JavaScript) that:

  1. Defines tools (functions, web-search, file search, or external APIs).
  2. Describes an agent goal and supplies the tools it can call.
  3. Streams back structured steps & final answers so you can trace, test, and fine-tune.

Under the hood, the SDK coordinates multiple model calls, routes arguments to tools, and maintains short-term memory—freeing you to focus on domain logic.

Bridging the Two with the Crypto MCP Server

Token Metrics recently shipped its Crypto MCP Server, a lightweight gateway that normalises every client—OpenAI, Claude, Cursor, VS Code, Windsurf, and more—around a single schema and API key. One paste of your key and the OpenAI Agents SDK can query real-time grades, prices, and signals through the same endpoint used in your IDE or CLI.

Why MCP?
Consistency—every tool sees the same value for “Trader Grade.”
One-time auth—store one key, let the server handle headers.
Faster prototyping—copy code between Cursor and Windsurf without rewriting requests.
Lower cost—shared quota plus TMAI staking discounts.

In fewer than 30 lines you’ve built a self-orchestrating research assistant that pulls live data from the best crypto API and reasons with GPT-4o.

Architecture Under the Hood

  1. Agent Layer – OpenAI Agents SDK manages state, reasoning, and tool routing.
  2. Tool Layer – Each Token Metrics endpoint (prices, grades, signals) is wrapped as an Agents SDK tool.
  3. Data Layer – The MCP Server proxies calls to the Token Metrics REST API, unifying auth and schemas.
  4. Execution Layer – Agents call the tools; tools call MCP; MCP returns JSON; the agent responds.

Because every piece is modular, you can swap GPT-4o for GPT-4.1, add a DEX trading function, or stream outputs to a React dashboard—no core rewrites required.

Performance & Pricing Highlights

  • Free Tier: 5 000 calls/month—ideal for proof-of-concept agents.
  • Premium Tier: 100 000 calls/month and three-year history, unlocking AI Agent endpoints for production workloads.
  • VIP: 500 000 calls/month and unlimited history for institutional desks.

OpenAI usage is metered per token, but the Agents SDK optimises context windows and tool invocations, often yielding lower compute cost than bespoke chains.

Roadmap & Next Steps

Token Metrics is rolling out first-party TypeScript helpers that auto-generate tool schemas from the OpenAPI spec, making tool wrapping a one-liner. On the OpenAI side, Responses API is slated to replace the Assistants API by mid-2026, and the Agents SDK will track that upgrade.

Ready to build your own autonomous finance stack?

  1. Grab a free Token Metrics key → app.tokenmetrics.com
  2. Clone the Agents SDK starter repo → npx degit openai/agents-sdk-starter
  3. Ship something your traders will love.
  4. Watch demo here

The synergy between the Token Metrics crypto API and OpenAI’s Agents SDK isn’t just another integration; it’s the missing link between raw blockchain data and actionable, self-operating intelligence. Tap in today and start letting your agents do the heavy lifting.

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Token Metrics Crypto API and Windsurf Integration: Unlock Hidden Crypto Signals for Smarter Trading

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In today’s crypto market, raw data isn’t enough. Speed isn’t enough. What you need is insight.

That’s why we’re excited to unveil a game-changing integration: Token Metrics Crypto API now powers an ultra-fast, AI-driven crypto analytics platform—supercharged by Windsurf Coding Agent automation. This isn’t just another crypto dashboard. It’s a real-time intelligence engine designed for traders, funds, and crypto builders who demand an edge.

The Problem with Most Crypto Dashboards

Most crypto dashboards simply pull price data and display it. But serious traders know that price alone doesn’t tell the full story. You need context. You need predictive signals. You need advanced analytics that go beyond surface-level charts.

The Token Metrics Crypto API changes that.

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The Power of Token Metrics API

At the heart of this new platform lies the Token Metrics API — widely regarded by traders and funds as the best crypto API available today.

Here’s why:

✅ Real-Time AI Insights

The Token Metrics API delivers real-time valuations, grades, risk metrics, and momentum signals—powered by sophisticated AI and machine learning models analyzing thousands of crypto assets.

✅ Predictive Token Ratings

Leverage Investor Grade and Trader Grade rankings to see which tokens are gaining momentum — before the market fully reacts.

✅ Quant Metrics & Risk Analysis

Access volatility scores, Sharpe ratios, value-at-risk metrics, and drawdown analysis to manage risk with precision.

✅ Clustering & Sentiment Analysis

Identify hidden relationships between tokens using real-time clustering and on-chain sentiment analysis.

✅ Full Market Coverage

Whether you trade altcoins, L1 ecosystems, DeFi, or memecoins — the Token Metrics Crypto API covers thousands of assets across multiple chains.

This depth of data allows the platform to do far more than just monitor prices — it discovers patterns, clusters, momentum shifts, and early market signals in real-time.

How Windsurf Coding Agent Unlocks New Possibilities

To build a truly responsive and adaptive crypto intelligence platform, we leveraged Windsurf Coding Agent automation. Windsurf allows us to ship new dashboards, signals, and features in hours—not weeks.

As crypto markets evolve rapidly, speed to insight becomes critical. With Windsurf’s agent-driven automation, we can prototype, iterate, and deploy new AI models and data visualizations faster than any traditional development cycle allows.

  • 🔄 New momentum indicators can be developed overnight
  • 🔄 Cluster algorithms can be recalibrated instantly
  • 🔄 Dashboards respond live to market shifts

This makes the entire system fluid, adaptive, and always tuned to the latest market behavior.

Not Just Another Dashboard — A Real-Time AI Engine

This isn’t your average crypto dashboard.

Every data point is analyzed, filtered, and rendered within milliseconds. As soon as the Token Metrics API delivers updated data, the platform processes it through real-time clustering, momentum scoring, and risk analysis.

The result? A blazingly fast, AI-powered crypto dashboard that gives you insights while your competition is still refreshing price feeds.

Platform Highlights:

  • Real-Time Market Trends:
    See market shifts as they happen, not minutes later.

  • Hidden Cluster Discovery:
    Identify which tokens are moving together before major narratives emerge.

  • Smart Momentum Signals:
    Detect early breakout signals across DeFi, AI, RWA, Memes, and other sectors.

  • Token Ratings & Sentiment:
    Get automated Investor Grades, Trader Grades, and community sentiment scoring.

  • Built-in AI Analysis Engine:
    Summary insights are auto-generated by AI to make complex data immediately actionable.

Turning Complexity Into Clarity

Crypto markets generate overwhelming amounts of data — price swings, liquidity changes, on-chain flows, funding rates, sentiment shifts, and more.

The Token Metrics + Windsurf integration filters that noise into clear, actionable signals. Whether you’re:

  • A crypto fund manager seeking alpha
  • An algorithmic trader hunting momentum
  • A community builder wanting to inform your Discord or Telegram group
  • A developer creating your own crypto trading bots or dashboards

... this platform turns complexity into clarity.

The signal is out there. We help you find it.

Why Token Metrics API is the Best Crypto API for Builders

When evaluating crypto APIs, most traders and developers face the same issues: incomplete data, poor documentation, limited endpoints, or stale updates. The Token Metrics API stands apart as the best crypto API for several key reasons:

1️⃣ Comprehensive Data Coverage

The Token Metrics API covers over 6,000 crypto assets across major chains, sectors, and narratives.

2️⃣ AI-Driven Metrics

Unlike other crypto APIs that only provide raw market data, Token Metrics delivers pre-calculated AI insights including:

  • Trader & Investor Grades
  • Bullish/Bearish Signals
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  • Sentiment Scores
  • Support & Resistance Levels

3️⃣ Developer Friendly

The API is fully documented, REST-based, and easily integrates with platforms like Windsurf, Zapier, and custom trading systems.

4️⃣ Instant Updates

Data is refreshed continuously to ensure you’re always working with the latest available insights.

This makes the Token Metrics crypto API ideal for:

  • Building automated trading agents
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  • Running quant research pipelines
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  • Creating crypto advisory tools for funds or DAOs

Example Use Case: Proactive Cluster Monitoring

Imagine this:

You’re managing a portfolio with exposure to several DeFi tokens. The platform detects that several mid-cap DeFi projects are clustering together with rising momentum scores and improving Investor Grades. Within seconds, your dashboard flashes an early “sector breakout” signal.

By the time social media narratives catch on hours or days later — you’re already positioned.

This is the edge that real-time AI-driven analytics delivers.

What You Can Build With Token Metrics API + Windsurf

The possibilities are nearly endless:

  • Fully autonomous AI trading agents
  • Real-time risk management dashboards
  • Community-facing Discord or Telegram bots
  • Investor-grade weekly market reports
  • Live streaming momentum monitors
  • Institutional quant analysis tools

And because Windsurf Coding Agent automates development, these solutions can evolve rapidly as new narratives, tokens, and market behaviors emerge.

Start Building Your Edge Today

If you’re serious about staying ahead in crypto, you need more than just prices—you need intelligence.

The combination of Token Metrics API and Windsurf’s automation delivers the fastest, smartest way to build your own crypto intelligence systems.

➤ Sign up for Token Metrics

➤ Get API access

➤ Start building with Windsurf
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Turn data into insights. Turn insights into profits.

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Conclusion: The Future of Crypto Analytics Is Here

The days of static dashboards and delayed signals are over. The future belongs to platforms that deliver real-time, AI-powered, adaptive crypto intelligence.

With Token Metrics Crypto API and Windsurf Coding Agent, you have the tools to build that future—today.

Announcements

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

Token Metrics Team
8 min
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Combine the Best Crypto API with Cline’s AI Coding Environment to Automate Smarter Trades—Faster

The world of crypto development just leveled up.

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

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

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

What Is Cline (Roo Code)?

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

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

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

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

What Is Token Metrics MCP & API?

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

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

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

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

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

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

1. Set Up Your Project in Visual Studio Code

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

2. Connect to the Token Metrics MCP Server

Once installed:

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

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

3. Explore the API with a Prompt

Inside Cline, simply prompt:

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

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

4. Generate a Trading Strategy

Next prompt:

“Create a trading strategy using this data.”

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

5. Run Backtests and Analyze Performance

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

For example:

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

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

Why This Partnership Matters

🔗 Natural-Language-Powered Crypto Development

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

⚙️ Best-in-Class Crypto Market Intelligence

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

⚡ Build, Test, Iterate—Fast

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

Use Cases You Can Build

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

Why Token Metrics Is the Best Crypto API for Cline Developers

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

Final Thoughts

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

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

No manual coding. No noise. Just results.

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

Watch demo here!

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

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