Announcements

Build the Future of Crypto Trading: Integrating Token Metrics with LangChain for Smarter Crypto Decisions

A seamless integration with LangChain – a popular framework for building context-aware agents using large language models (LLMs).
Token Metrics Team
8 min
MIN

The rise of AI in crypto trading has opened new frontiers, and Token Metrics is leading the charge by enabling developers to build intelligent trading agents using its powerful API. The latest innovation? A seamless integration with LangChain – a popular framework for building context-aware agents using large language models (LLMs). In this blog post, we’ll break down how this integration works, what it enables, and why it represents a game-changing leap in automated crypto analysis.

What is LangChain?

LangChain is an open-source framework that helps developers build applications powered by large language models like Gemini, Claude, and OpenAI. It enables developers to build a wide range of advanced AI solutions, including:

  • Conversational agents
  • Retrieval-based question answering
  • Tool-using AI agents
  • Autonomous decision-making bots

By providing a flexible structure, LangChain makes it easy to integrate LLMs with real-world data sources and external tools, empowering your application to both reason and take action.

What is the Token Metrics API?

The Token Metrics API is a rich data layer for crypto investors, analysts, and builders. It provides real-time and historical data across:

  • AI-powered Trader and Investor Grades
  • Daily/Hourly OHLCV metrics
  • Bullish/Bearish AI signals
  • Quantitative indicators
  • Curated Crypto Indices

With over 80 data points per token and robust filtering, the API makes it easy to identify profitable tokens, spot market trends, and build intelligent trading strategies.

Why Combine LangChain and Token Metrics?

Combining LangChain with Token Metrics lets you build AI-powered crypto agents that deliver market analysis and actionable insights. These agents can:

  • Analyze crypto prices, trends, and sentiment using AI-driven methods
  • Apply predefined strategies or custom logic for automated decision making
  • Generates clear, human-readable insights and trading signals
  • Identify and highlight tokens with strong profit potential

This integration equips your crypto applications with intelligent, data-driven capabilities to support smarter trading and research.

Getting Started: Building the Agent

The integration process begins with cloning a GitHub repository (public upon video release), which includes everything needed to run a Token Metrics x LangChain demo agent. After installing the dependencies and opening the codebase in a code editor, you’ll find a fully documented README that walks you through the setup.

Step 1: Install Dependencies 

Navigate to the project directory and install the required packages using:

Step 2: Configure Environment Variables

Before spinning up the agent, add your Token Metrics API key and your LLM API key (Openai, gemini, etc..) to the .env file. These credentials authorize the agent to access both Token Metrics and your chosen LLM.

Step 3: Define and Run the Agent 

The agent logic is explained directly in the README and starter code sample, making it easy to follow and customize. You’ll find clear instructions and code snippets that guide you through setting up the agent’s capabilities.

The agent supports two main modes:

  • Simple Agent: A straightforward agent that answers user questions using Token Metrics tools. It’s ideal for quick queries and basic crypto research tasks.
  • Advanced Agent: A more powerful agent capable of reasoning through complex tasks, chaining together multiple tools, and providing deeper analysis. This agent can handle multi-step queries and deliver more comprehensive insights.

Powered by LangChain’s ReAct (Reasoning + Acting) framework, your agent can:

  • Access a suite of Token Metrics tools for crypto analysis, including price data, trading signals, grades, and sentiment
  • Apply predefined strategies or custom logic for automated decision-making
  • Generate clear, human-readable insights and trading signals
  • Filter and highlight tokens based on objective, data-driven criteria

With comprehensive documentation and step-by-step guidance in the README, you can quickly build, customize, and deploy your own intelligent crypto research assistant—no separate agent.py file required.

A Real-World Example: Finding Winning Tokens

Here’s how the agent works in practice:

  • It queries tokens with a valid Trader Grade
  • Filters tokens with Bullish AI signals
  • Compares Trading Signal ROI vs Holding ROI
  • Filters out tokens that aren’t outperforming with active trading

In the test case, it identifies BANANAS S31 as a top candidate:

  • High trader grade
  • Bullish signal
  • Strong Trading Signal ROI (better than holding)

At the end of its analysis, the bot outputs a summary of:

  • Overall market sentiment
  • Top token opportunities
  • Macro-level recommendations

In this case, while BANANAS S31 stood out, the overall market leaned neutral with a slight long-term bearish bias, a useful snapshot for any trader.

Switching to the Advanced Agent

LangChain’s flexibility allows the same bot to switch into an interactive chatbot by attaching memory to the agent. Users can now type in:

“What are the top 3 tokens to watch today?”
“Is the market bullish or bearish?”
“Give me DeFi tokens with bullish signals.”

The agent can dynamically select and chain together specialized crypto analysis tools in response to your questions. This means the agent doesn’t just answer queries with static information but it actively pulls the latest Token Metrics data, applies AI-driven analytics, and synthesizes insights using multiple sources and methods. 

As a result, you will get clear, context-aware responses about market trends, trading signals, token performance, and more. All grounded by the Token Metrics APIs

Key Benefits of This Integration

Here’s why this LangChain x Token Metrics setup is a big deal:

✅ AI That Acts

LangChain agents go beyond conversation—they can autonomously scan and analyze crypto markets using a suite of Token Metrics tools.

✅ Actionable Data

Token Metrics transforms complex market data into actionable insights, empowering the agent to support smarter trading and investment decisions.

✅ Current Market Analysis

Every time the agent runs, it draws on up-to-date Token Metrics data, ensuring responses reflect the latest market conditions.

✅ Fully Customizable

Tailor the agent to your needs, filter by DeFi tokens, set custom ROI thresholds, or incorporate additional data sources like social sentiment. The open-source codebase makes it easy to adapt the agent for any use case

What Can You Build With This?

This framework provides a versatile foundation for a wide range of crypto applications, including:

  • Personal trading assistants
  • Crypto Telegram bots
  • LLM-integrated crypto dashboards
  • Quant strategy testers
  • AI-powered newsletters and daily briefs

By combining a powerful API with a reasoning engine, you unlock a new frontier in crypto intelligence.

Final Thoughts

The integration of Token Metrics with LangChain shows what’s possible when deep crypto analytics meets autonomous reasoning. Instead of flipping between dashboards, you can build an agent that does the research for you, surfaces profitable tokens, and delivers daily alpha—automatically.

Whether you’re a developer, trader, or AI enthusiast, this setup gives you a robust foundation to experiment, build, and push the future of AI trading forward.

Try It Yourself

Once the repository is public, you’ll be able to:

  • Clone it from GitHub
  • Add your API keys
  • Customize your agent
  • Start generating automated crypto insights today

Click here to view the demo.

AI agents are the future of trading—and with Token Metrics and LangChain, the future is already here.

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Token Metrics Team
Token Metrics Team

Recent Posts

Crypto Basics

Understanding Cryptocurrency Trading Pairs: A Comprehensive Overview

Token Metrics Team
6 min
MIN

Introduction to Crypto Trading

Cryptocurrency trading involves the exchange of one digital asset for another on a trading platform, a process made possible through the use of cryptocurrency trading pairs. These trading pairs are essential components of the cryptocurrency market, serving as the foundation for all trading activities. They allow traders to evaluate market trends and make informed decisions by comparing the relative value of the base currency against the quote currency. Understanding how crypto trading pairs work is vital not only for executing trades but also for effective portfolio diversification and navigating the complex market dynamics of the cryptocurrency market. With a wide range of different trading pairs available, traders are presented with diverse trading opportunities that reflect the unique characteristics and market conditions of various digital assets.

What Are Trading Pairs?

A trading pair consists of two different digital assets, such as BTC/ETH or ETH/BTC, enabling traders to exchange one cryptocurrency for another. In these pairs, the first currency listed is known as the base currency, which serves as the reference point for the trading pair. The second currency is called the quote currency, representing the currency used to price the base currency. For example, in the BTC/ETH pair, Bitcoin (BTC) is the base currency, and Ethereum (ETH) is the quote currency. Similarly, in the trading pair BTC/USD, Bitcoin is the base currency and USD is the quote currency. Trading pairs allow traders to compare costs between different cryptocurrencies by showing the exchange rate or comparative value of one crypto asset relative to another. This system also extends to fiat currency pairs, where digital assets are traded against traditional currencies like the US dollar, providing an essential link between the crypto market and the broader financial ecosystem.

How Crypto Trading Pairs Work

Crypto trading pairs work by facilitating the exchange of one digital asset for another on a trading platform. The price of the trading pair is determined by market sentiment and current market conditions, reflecting the supply and demand dynamics between the two cryptocurrencies involved. Trading pairs serve as unique value equations between two parts, allowing traders to speculate on price movements between different cryptocurrencies, offering opportunities for profit as well as risk of loss. Different crypto exchanges offer a variety of trading pairs, and the availability of specific pairs can significantly affect liquidity and trading opportunities. Some pairs, like BTC/ETH or stablecoin pairs, often provide better liquidity, making it easier for traders to enter and exit positions. Understanding how trading pairs work is essential for developing a successful trading strategy and implementing effective risk management techniques in the fast-paced crypto market.

Analyzing Trading Pairs

Analyzing trading pairs is a crucial step in cryptocurrency trading. It involves examining price charts, market movements, and trading volume to gain insights into market trends and make informed trading decisions. Technical analysis serves as an essential tool in this process, helping traders identify patterns, trends, and potential price movements within the crypto market. Additionally, incorporating risk management strategies is vital when analyzing trading pairs, as these strategies help mitigate potential losses and optimize gains. Understanding trading pairs is crucial for exploiting arbitrage opportunities, as traders can identify price discrepancies across different markets. By carefully studying trading pairs, traders can better understand market dynamics and improve their ability to make trading decisions that align with their goals and risk tolerance.

Understanding Market Trends

Market trends play a pivotal role in cryptocurrency trading, and trading pairs provide valuable information about market sentiment and price movements. Understanding these trends requires analyzing various market data, including price charts and trading volumes, to detect patterns that indicate whether the market is bullish, bearish, or ranging. Illiquidity in the market can create opportunities for arbitrage, as price discrepancies between trading pairs may arise. Trading pairs enable traders to identify these trends by comparing the performance of two cryptocurrencies relative to each other, offering insights into market movements and potential future developments. By staying informed about market trends, traders can tailor their trading strategies to current market conditions, increasing their chances of success and better managing the risks associated with volatile crypto markets.

Trading Strategies

A well-defined trading strategy is essential for navigating the complexities of cryptocurrency trading. Such a strategy outlines a plan for buying and selling digital assets, leveraging trading pairs to facilitate transactions and manage risk effectively. Trading strategies often incorporate technical analysis, market trend evaluation, and risk management principles to help traders meet their specific trading goals. Using stop-loss orders and maintaining favorable risk-reward ratios enhances trading strategies, providing a structured approach to managing trades. Since different trading pairs exhibit unique market behaviors and liquidity levels, traders must adapt their strategies to the characteristics of each pair and the prevailing market conditions. By developing and adhering to a robust trading strategy, traders can enhance their ability to capitalize on trading opportunities while minimizing potential losses in the highly dynamic crypto economy.

Managing Risks

Risk management is a fundamental aspect of successful cryptocurrency trading, and trading pairs provide various avenues for managing risk through diversification and hedging. By spreading investments across different crypto assets and trading pairs, traders can reduce their exposure to adverse market movements affecting a single digital asset. Risk management often requires a balanced approach, combining strategies such as setting stop-loss orders, controlling position sizes, and using stablecoin pairs for stability to help mitigate potential losses and protect capital. Effective risk management enables traders to preserve their portfolios and maintain a balanced approach to trading, aligning with their risk tolerance and long-term trading goals within the crypto market.

Conclusion

In conclusion, understanding cryptocurrency trading pairs is indispensable for success in the crypto market. Trading pairs offer a framework for buying and selling digital assets, providing insights into market trends, facilitating risk management, and enabling the development of effective trading strategies. The most widely traded digital asset that is integrated into the cryptocurrency market is BTC, which often serves as a base currency in many trading pairs. Each trading pair presents unique opportunities and challenges, requiring traders to cultivate a deep understanding of market dynamics and the specific characteristics of different digital assets. By analyzing trading pairs, staying informed about market sentiment and trends, and implementing sound trading and risk management strategies, traders can enhance their ability to make informed decisions and achieve their trading objectives. Ultimately, cryptocurrency trading pairs are essential tools that empower traders to navigate the evolving digital asset landscape with confidence and precision.

Crypto Basics

How Cryptos and Meme Coins Are Shaping the 2025 Crypto Market

Token Metrics Team
5 min
MIN

Introduction
With Bitcoin in price discovery and meme coins dominating short-term trends, crypto markets in 2025 are in a new phase of the cycle. At Token Metrics, we’ve been tracking smart money, emerging tokens, and high-conviction sectors like DeFi, AI, and meme assets. This post breaks down what we’re seeing—and how traders are adapting.

Current Market Sentiment

Bitcoin remains strong, with ETH and SOL following closely. Our models suggest:

  • ETH base case: $5,700


  • SOL base case: $630


  • Market cap projection: $8–14 trillion

Despite regulatory noise, crypto’s fundamentals—liquidity, user growth, and capital rotation—remain bullish.

Meme Coin Resurgence

Meme coins are leading short-term market action. Among the top gainers:

  • LoFi (SUI Ecosystem): Under $50M FTV, high liquidity, listed on Kraken and KuCoin
  • Sign, Gradient, Zerebro: Mixed quality; require caution

While volatility is high, top-performing meme coins on new chains often yield strong short-term returns—especially when backed by rising ecosystems like SUI.

Smart Money Tracking with Nansen

We’ve doubled down on using platforms like Nansen to follow profitable wallet cohorts. These tools help us identify early-stage tokens with smart money inflows. Key indicators:

  • Positive net inflow from smart wallets
  • Low concentration in top 100 holders
  • Distribution to non-suspicious fresh wallets
  • Whale cohort accumulation

We also track wallet activity over time to confirm whether top-performing wallets are accumulating or exiting positions.

Deep Dives Over Speculation

While meme coins grab headlines, we’re also analyzing sectors with long-term viability:

  • AI Agents (e.g., Fractal AI, Swarms)
  • Real-World Asset Stablecoins (e.g., USUAL with 9% APY)
  • Narrative Ecosystems (e.g., Hedera’s DEX activity surge)

We balance high-risk meme trades with deep fundamental research into projects gaining traction on-chain and in product development.

Sector Watch: Hedera Ecosystem

The Hedera (HBAR) ecosystem recently saw a 5x spike in DEX volume. Tokens like:

  • SaucerSwap (DEX)
  • HashPack (wallet)
  • Bonzo (lending)

are trending upward. While TVL remains low, increased volume may spark price momentum.

We’re not rotating capital aggressively here yet, but we’re watching closely for sustained on-chain activity.

Capital Flow Outlook

Altcoin rotation often follows BTC consolidation. With BTC and ETH leading the charge, we expect:

  • Meme coins and DeFi tokens to lead early-stage alt rotations
  • AI and DePin narratives to pick up mid-cycle
  • ETH and SOL outperformance in layer-1 competition

Internal price models and momentum indicators support further upside, assuming macro remains stable and regulatory conditions don’t sharply deteriorate.

Conclusion

The current cycle rewards those who combine quantitative analysis, on-chain tracking, and strong narrative awareness. Whether trading LoFi for a quick flip or accumulating tokens like Fractal AI or USUAL for a thesis-driven hold, the key is staying ahead of trends without abandoning discipline.

Crypto Basics

What Is a Moonshot? The Ultimate Guide to High-Risk, High-Reward Gems in Crypto (2025)

Token Metrics Team
6 min
MIN

The term “moonshot” is everywhere in the crypto world—but what does it really mean? In 2025, as the search for the next 100x token intensifies, understanding the concept of a crypto moonshot is more important than ever. Moonshots offer massive upside potential, but they also come with high risk. So how do you find them, and more importantly, how do you separate hype from real opportunity?

In this guide, we’ll break down what a moonshot is, why it matters, how to identify one, and how tools like Token Metrics are helping investors discover the next big thing in crypto—before it takes off.

🚀 What Is a Moonshot in Crypto?

In crypto, a moonshot refers to a low-cap, high-potential cryptocurrency that could deliver outsized returns, typically 10x, 50x, or even 100x your initial investment. The term comes from the idea that a token is going “to the moon”—crypto slang for an explosive price increase.

Unlike established cryptocurrencies like Bitcoin and Ethereum, moonshots are usually early-stage projects with small market caps, limited trading volume, and a high level of speculation. These tokens often sit under the radar, only gaining traction once a specific narrative, innovation, or market trend brings them into the spotlight.

🧠 Characteristics of a Moonshot Token

While no one can guarantee a moonshot, successful ones often share several key traits:

1. Low Market Cap

Most moonshots start with a market cap under $50 million, sometimes even under $10 million. This gives them room to grow exponentially as adoption increases.

2. Strong Narrative or Trend Alignment

Moonshots usually align with emerging crypto narratives, such as:

  • AI in crypto (e.g., TMAI)
  • Real-world assets (RWA)
  • Decentralized infrastructure (DePIN)
  • ZK rollups and Layer-2s
  • On-chain gaming and modular blockchains


3. Innovative Technology or Unique Use Case

They bring new ideas or solve real problems, giving them the potential to disrupt existing models.

4. Early Community Traction

Even if small, moonshots typically have loyal, vocal communities that drive awareness and support adoption.

5. Token Utility

Tokens that play a critical role in a product’s functionality (staking, access, governance) are more likely to gain value as adoption grows.

6. Exchange Listings

Getting listed on a major CEX (centralized exchange) or DEX (decentralized exchange) often serves as a catalyst for price surges.

⚠️ Moonshot = High Risk, High Reward

While the upside is massive, moonshots come with serious risks:

  • Volatility: Prices can swing wildly in hours or minutes.
  • Scams and rug pulls: Many low-cap tokens are created with malicious intent.
  • Illiquidity: It may be hard to buy or sell large amounts.
  • Overhype: Narratives can fizzle out quickly, leaving bag holders behind.
  • Lack of product-market fit: Many projects never deliver a working product.

Risk management is essential. Only allocate a small portion of your portfolio to moonshots and always do your own research.

🔍 How to Identify Crypto Moonshots

Finding true moonshots is part art, part science. Here are practical steps to help spot them:

1. Use Token Metrics Moonshots Feature

Token Metrics, the leading AI-powered crypto research platform, features a dedicated Moonshots tab that helps users discover early-stage altcoins with massive potential.

Token Metrics uses AI models to:

  • Scan over 6,000+ tokens
  • Analyze 80+ on-chain and off-chain data points
  • Score tokens based on Investor Grade (long-term) and Trader Grade (short-term)
  • Highlight tokens before they hit mainstream radar

2. Follow Emerging Narratives

Pay attention to sectors gaining momentum—AI, DePIN, L2s, gaming, and RWA are hot in 2025. Moonshots often emerge at the intersection of narrative and innovation.

3. Explore Crypto Twitter and Discord

Many early-stage gems are discussed by small communities, KOLs (key opinion leaders), and early investors before any mainstream media coverage.

4. Check Tokenomics

A great idea can’t succeed with poor tokenomics. Look for:

  • Fair initial distribution
  • Deflationary or limited supply
  • Lock-up periods for team/investors
  • Strong incentive alignment with users

5. Monitor DEX Launchpads and On-Chain Metrics

Platforms like Uniswap, Camelot, or Base-native DEXs are where most moonshots launch first. Analyze:

  • Wallet distribution (whale vs retail)
  • Volume and liquidity
  • Holder growth

🔬 How Token Metrics Helps You Find the Next Moonshot

Token Metrics is the ultimate tool for discovering and validating moonshot opportunities. Here’s how:

🧠 AI-Driven Token Ratings

Get real-time Investor Grade and Trader Grade scores, generated by AI models trained on historical altcoin performance.

📈 Bullish & Bearish Signals

Get alerts when a token shows strong upside or downside momentum based on quantitative signals.

🚀 Moonshots Section

A curated feed of low-cap, high-potential tokens filtered by market cap, sector, risk level, and on-chain traction.

📊 Backtesting & Risk Analysis

Use simulation tools to see how a moonshot would have performed in different market conditions, helping you gauge timing and position sizing.

👉 Try Token Metrics with a 7-day free trial and start exploring moonshots with data, not just hype.

✅ Examples of Real Moonshots

In previous years, several tokens started as moonshots and delivered massive gains:

  • Polygon (MATIC) – Launched below $0.01, surged to over $2.50 at peak

  • Axie Infinity (AXS) – Went from cents to $165 during the 2021 gaming boom

  • Pepe (PEPE) – Meme coin that turned thousands into millions in 2023

  • VIRTUAL (SPX6900) – Token Metrics alerted this 55x trade before the crowd

In 2025, emerging moonshots include AI-powered tokens like $TMAI (Token Metrics AI)—positioned at the forefront of AI + crypto convergence.

🛡️ Tips for Safely Investing in Moonshots

  • Only use risk capital (money you can afford to lose)
  • Start small and scale positions after traction
  • Set profit targets and stop-losses
  • Diversify across 5–10 moonshot tokens
  • Use non-custodial wallets and keep private keys secure
  • Don’t chase pumps—enter early or not at all

Moonshot investing isn’t about certainty—it’s about asymmetrical bets with defined downside and massive upside.

Final Thoughts

Moonshots are the heartbeat of crypto innovation. They represent the bold, risky, and visionary projects that could reshape entire industries—or fade into obscurity.

In 2025, the opportunity to find the next Solana, MATIC, or PEPE still exists—but success comes from informed decisions, not hype-driven FOMO. That’s why platforms like Token Metrics are critical. With AI-powered research, curated moonshot lists, and real-time trading signals, Token Metrics helps you spot the gems before they moon.

So, what’s your next moonshot?

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