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How to Build On-Chain Crypto Trading Bots Using Token Metrics Crypto API and Chainlink Functions

How to Use Token Metrics Crypto API with Chainlink Function | Best Free Crypto API for Crypto Trading Bots
Token Metrics Team
8 min
MIN

In the evolving world of Web3 development, the need for real-time, reliable, and institutional-grade crypto data has never been greater. Whether you’re building decentralized trading bots, DeFi apps, or smart contract platforms, accessing powerful off-chain data is key to creating intelligent and profitable on-chain systems.

That’s where the Token Metrics Crypto API comes in.

In this guide, we’ll walk you through how to integrate the Token Metrics API with Chainlink Functions, enabling you to deploy live smart contracts that interact with real-time crypto signals, token prices, and trader grades. You’ll learn how to use more than 20 API endpoints and smart contract adapters to power decentralized apps with actionable data.

If you’re searching for the best crypto API for smart contract development, or you need a free crypto API to start testing on testnets, this article is your ultimate resource.

What Is the Token Metrics Crypto API?

The Token Metrics API is an advanced data interface designed for traders, developers, and Web3 builders. It provides access to over 20 endpoints covering everything from:

  • Token prices
  • AI-powered trading signals (bullish/bearish)
  • Trader and Investor Grades (0–100 scoring system)
  • Quant metrics
  • Support and resistance levels
  • Sentiment analysis

Built by a team of quant analysts, machine learning engineers, and crypto-native researchers, the Token Metrics Crypto API brings hedge-fund-grade intelligence into the hands of everyday builders.

Why Use the Token Metrics API with Chainlink Functions?

Chainlink Functions enable smart contracts to securely retrieve off-chain data from any API. By integrating with the Token Metrics Crypto API, you can bridge institutional-grade analytics into fully decentralized apps—something not possible with basic or unreliable data sources.

Here’s why this combo is so powerful:

  • đź”— Chainlink decentralizes your execution
  • đź§  Token Metrics powers your logic with predictive analytics
  • ⚙️ Smart contracts can now act on real market intelligence

This integration enables the creation of intelligent trading bots, dynamic token allocations, and governance proposals backed by hard data—not speculation.

Step-by-Step: How to Integrate Token Metrics API with Chainlink Functions

Let’s walk through how to connect the best crypto API—Token Metrics—with Chainlink Functions to build and deploy a live smart contract.

1. Clone the GitHub Repo

Start by cloning the GitHub repository that contains the full codebase. This includes:

  • A set of ~20 pre-built smart contracts
  • API adapter logic
  • Sample scripts to interact with the contracts
  • A detailed README with setup instructions

Each smart contract is tailored to one Token Metrics API endpoint—meaning you can plug and play any dataset, from prices to sentiment scores.

2. Set Up Your Environment

The README provides a full list of recommended environment variables, including:

  • API_KEY for Token Metrics
  • LINK_TOKEN_ADDRESS
  • CHAINLINK_SUBSCRIPTION_ID
  • ORACLE_ADDRESS

Once your .env is ready, you can start compiling and deploying.

3. Build and Deploy a Sample Trading Bot Smart Contract

In this walkthrough, the developer built a Solidity smart contract that:

  • Pulls live data from Token Metrics (price, signal, grade)
  • Evaluates the signal (e.g., bullish)
  • Executes a buy trade if the signal is positive

The contract is compiled in Remix IDE, connected via MetaMask (on testnet), and deployed using testnet ETH and LINK tokens.

After deployment, you’ll receive a contract address that can be added to your Chainlink subscription.

4. Create a Chainlink Subscription

To fund your contract for data requests:

  1. Go to the Chainlink portal
  2. Create a new subscription (testnet or mainnet)
  3. Fund it with some LINK
  4. Add your deployed smart contract as a consumer

This allows your contract to make external data calls using Chainlink’s decentralized oracle network.

5. Run a Script to Invoke Real-Time Token Metrics Data

Using the provided JavaScript scripts, you can interact with the smart contract and test data flow:

  • Check the bot’s active status
  • Retrieve token price, trading signal, and grade
  • See how the smart contract responds to live market conditions

In the demo, the bot received a bullish signal, saw that the grade was high, and executed a buy trade accordingly. This logic can be expanded into full-scale trading strategies, rebalancing rules, or even on-chain governance triggers.

Why Token Metrics API Is the Best Crypto API for Smart Contracts

Here’s what makes the Token Metrics Crypto API the best crypto API for building advanced, data-driven dApps:

âś… Institutional-Grade Signals

Get access to proprietary AI trading signals, used by hedge funds and institutional desks.

âś… 20+ Endpoints for Every Use Case

Whether you need sentiment data, grades, price trends, or quant models, it’s all there.

âś… Real-Time and Back-Tested

The data is not just live—it’s tested. Token Metrics backtests every signal against market conditions.

âś… Easy to Integrate

Pre-built smart contract adapters make it easy to use the API in Chainlink, Remix, or any EVM-compatible environment.

âś… Free Crypto API Tier Available

Start testing on testnets with a free crypto API key. Upgrade later for full production access.

Real-World Use Cases for Token Metrics + Chainlink Functions

Here are some examples of what you can build using this integration:

  • On-Chain Trading Bots: React to bullish or bearish signals in real time
  • Decentralized Rebalancing Strategies: Adjust token allocations based on trader grades
  • Token Governance: Trigger proposal alerts when sentiment crosses a threshold
  • Risk Management Contracts: Move funds to stablecoins when volatility spikes
  • NFT Floor Price Triggers: Use sentiment and price data for automated mint/pass logic

Final Thoughts: The Future of Crypto Intelligence Is On-Chain

As Web3 matures, the ability to combine decentralized execution with centralized intelligence will define the next generation of dApps. The integration of Token Metrics Crypto API with Chainlink Functions is a major step in that direction.

Developers can now build on-chain applications that make smarter, faster, and more profitable decisions—powered by data that was once out of reach.

Whether you're a DeFi developer, a DAO engineer, or just exploring your first smart contract, this setup gives you a free crypto API to experiment with and the power of the best crypto API when you're ready to scale.

🚀 Ready to Get Started?

  • âś… Get your free Token Metrics API key
  • âś… Clone the GitHub repo and install the smart contracts
  • âś… Join the Token Metrics Dev Telegram community
  • âś… Start building intelligent, AI-powered crypto applications today

Your next-generation crypto trading bot starts here.

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Token Metrics Team
Token Metrics Team

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Research

Bearish Signals Ahead? How to Spot Early Warnings Before a Crash

Token Metrics Team
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In crypto, everything can change overnight. One minute the market’s bullish — the next, it’s bleeding red. That’s why the ability to spot bearish signals early is crucial for protecting capital and maximizing long-term gains. Token Metrics gives traders an edge with AI-driven alerts that help you act before the crash hits.

Why Most Traders Miss the Top
Retail traders often get caught in the hype. By the time “everyone” is talking about a token, it’s usually too late. The smartest investors are watching subtle changes in data: volume drops, negative sentiment, weakening momentum.

Token Metrics makes those patterns visible before price crashes.

What Is a Bearish Signal on Token Metrics?
A bearish signal is a warning based on:

  • Declining Trader Grade (below 30)
  • Negative ROI since signal
  • Volume drying up while price holds
  • Bearish crossover in trend indicators
  • Weakening fundamentals or fading narratives

These signals are automatically triggered and displayed on the Market Page.

How to Identify Bearish Tokens Early

  1. Sort by Negative ROI – See which tokens have declined most after a bold signal.
  2. Filter by Trader Grade < 30 – These are tokens losing short-term momentum.
  3. Look for Divergence – If price is flat but volume or sentiment drops, the setup may be turning bearish.

Behavioral Clues You Shouldn’t Ignore

  • Signal stops updating – Token Metrics halts signals when confidence fades.
  • Narrative dies down – No more tweets, community quiets down? Trouble ahead.
  • Trending to Stagnant – Tokens drop from Top Gainers list quickly.

Real Example: Avoiding Losses with Signal Data
Ian Balina mentioned how users avoided major losses by exiting weak tokens early thanks to falling grades and bearish signals. Instead of hoping, they acted — preserving capital and rotating into stronger plays like Launch Coin or AI tokens.

What to Do When You See Bearish Signs

  • Don’t panic – Act on data, not emotion.
  • Set stop-losses based on bold signal entry points.
  • Rotate capital into high-grade tokens or stablecoins.
  • Monitor daily – The market can flip from bullish to bearish in hours.

Combining Risk Management with Signals
Token Metrics isn’t just about finding moonshots. It’s also about knowing when not to buy or when to exit early. By using bearish signals, you protect yourself from downside while staying positioned for the next big opportunity.

Conclusion
The best crypto traders aren’t just profit-hunters — they’re risk managers. Bearish signals from Token Metrics help you anticipate weakness, reduce losses, and trade with clarity. In a volatile market, that edge can make all the difference.

Research

From Retail to Institutions: Who’s Driving the Crypto Market in 2025?

Token Metrics Team
4 min
MIN

Crypto markets are evolving — and fast. In the early days, retail investors dominated the space. But by 2025, the tides are shifting. Institutional investors, family offices, and algorithmic funds are entering the market at scale. This blog explores the growing divide — and how it’s reshaping opportunities for everyday traders.

The Rise of Institutional Money in Crypto
Over the last year, a new class of investors has emerged: professional firms with deep pockets and long-term horizons. They're no longer just “exploring crypto” — they’re actively deploying capital.

Why now?

  • Regulatory clarity in major jurisdictions
  • Bitcoin ETF approvals and crypto fund launches
  • Better custody, risk management, and analytics tools (including Token Metrics)

What Are Institutions Buying?
Institutions tend to avoid meme coins and hyper-volatility. Instead, they focus on:

  • Layer 1 Infrastructure – Ethereum alternatives like Sui and Avalanche
  • AI Tokens – Leveraging real-world utility and strong narratives
  • DeFi Blue Chips – Projects with consistent TVL and governance upgrades
  • Stable Yield Strategies – On-chain bonds, staking, and real-world asset tokens

Token Metrics has seen a spike in institutional users filtering by Investor Grade and project fundamentals.

Retail Traders Still Dominate One Arena
Retail traders are far from out — they dominate high-volatility narratives:

  • Meme tokens
  • Social coin launches (e.g., Launchcoin)
  • Short-term speculation based on influencer sentiment

Retail’s edge? Speed, risk tolerance, and virality. Many of Token Metrics’ bold signals still originate from this activity before institutions catch on.

Token Metrics Bridging the Divide
What makes Token Metrics powerful in 2025 is its ability to serve both segments:

  • Institutions use it for due diligence, grades, and long-term planning.
  • Retail traders use it for short-term signals, alerts, and narrative tracking.

This dual capability creates a level playing field, where data, not capital, is the edge.

How to Trade Based on Who’s in Control

  1. When institutions lead – expect slower but more sustainable growth. Focus on high Investor Grade tokens.
  2. When retail leads – expect fast-moving pumps and dumps. Use high Trader Grade + bold signals.
  3. Hybrid phase (now) – Use both metrics to balance volatility and long-term conviction.

Market Behavior Patterns to Watch

  • Low volatility + high inflows → Institutional buildup
  • High volume + sudden spikes → Retail-driven narratives
  • Diverging BTC vs. altcoin trends → Mixed sentiment cycles

Conclusion
The crypto market in 2025 is being driven by both the old guard and the new wave. Institutions bring maturity. Retail brings momentum. Smart investors use tools like Token Metrics to read the room — and position themselves accordingly.

Research

Trader vs. Investor Grade: How to Use Both for Smarter Crypto Bets

Token Metrics Team
4 min
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Crypto trading success often boils down to timing. But how do you know when to enter — and when to stay long? Token Metrics solves this dilemma with a dual-grade system: Trader Grade and Investor Grade. Each grade serves a different investment goal, and together, they help you make more confident decisions, whether you’re day trading or holding for the long run.

What is the Trader Grade?
The Trader Grade measures short-term momentum. It uses AI to analyze price action, volume trends, technical indicators, and recent sentiment shifts. Scores range from 0 to 100, and a score above 80 signals strong short-term potential.

Use Case:

  • Perfect for swing traders and short-term opportunists.
  • Look for tokens with Trader Grade > 80 for potential breakout trades.
  • Example: Launchcoin had a Trader Grade above 90 before its 35x rally began.

What is the Investor Grade?
The Investor Grade focuses on long-term fundamentals. It’s designed for those who want to hold tokens for months or even years. This grade considers tokenomics, development activity, ecosystem strength, narrative alignment, and long-term price structure.

Use Case:

  • Ideal for long-term portfolio builders.
  • A token with Investor Grade > 80 is a strong candidate for accumulation.
  • AI infrastructure tokens and modular blockchains often rank high here.

Why Use Both?
Most traders fail by only looking at hype or short-term charts. Token Metrics lets you blend data:

  • High Trader Grade + Low Investor Grade? Consider a short-term trade, not a long hold.
  • High Investor Grade + Low Trader Grade? Consider waiting for a better entry point.
  • Both High? Green light for confidence in both entry and long-term performance.

Case Study: Balancing Your Portfolio with Grades
Users can use the dual-grade approach for smarter allocation:

  • 30% of capital to high Trader Grade tokens (short-term plays)
  • 70% to high Investor Grade tokens (long-term holds)

This method helps mitigate risk and improve overall ROI.

Where to Find the Grades
Both grades are displayed prominently across:

  • Token Detail Pages – Real-time grade updates with historical data
  • Market Page Filters – Sort tokens by grade thresholds
  • Portfolio Builder Tool – Automatically selects tokens with strong grades

Tips for Grade-Based Trading

  1. Use Trader Grade for volatile markets or when prices are accelerating.
  2. Use Investor Grade when building positions in strong narratives like AI, DeFi, or infrastructure.
  3. Avoid tokens with both grades below 60 unless you’re making a speculative bet.

Conclusion
Trading without context is gambling. Token Metrics’ Trader and Investor Grades give you a proven framework for assessing both momentum and fundamentals. Whether you’re here for a quick flip or a long-term bet, using the dual-grade system can level up your crypto strategy.

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