Research

Explore Free Crypto Trading Bot Templates & GitHub Resources

Explore the best open-source crypto trading bot templates on GitHub, learn how to use them safely, and discover top automation resources for research and developing trading strategies.
Token Metrics Team
6
MIN

Automated trading is transforming the crypto landscape—expediting strategies and reducing manual intervention. Whether you're a developer, researcher, or an enthusiastic learner, free crypto trading bot templates offer a hands-on way to explore algorithmic trading without steep costs. Thanks to generous contributors on GitHub, a wealth of open-source crypto bot projects are available for anyone looking to accelerate their learning and experiment with automation.

Introduction: Why Explore Free Crypto Trading Bots?

The allure of algorithmic trading isn't just reserved for hedge funds or large trading desks. With the rise of free crypto trading bot templates, a broad audience can now experiment with market analysis, automation, and even basic forms of AI-driven strategies. Crypto bot GitHub repositories range from simple starter scripts to sophisticated frameworks capable of complex quantitative analysis. For crypto enthusiasts, these bots serve as valuable tools to:

  • Backtest trading strategies on historical data
  • Learn coding fundamentals relevant to trading
  • Understand common risks and mitigation measures in automated markets
  • Benchmark and compare trading models using open source tools

However, it’s essential to remember that most open-source bots, while educational, are not plug-and-play solutions for live, unsupervised trading. Their main value lies in experimentation, research, and skills development rather than profit guarantees.

Must-See GitHub Repositories for Crypto Bot Templates

Numerous GitHub repositories have become go-to resources for those seeking free crypto trading bot solutions. Here are some of the most notable options for developers of all skill levels:

  • CCXT: Not a bot itself, but a widely used library that lets you access dozens of crypto exchange APIs. It's the backbone of many other open-source bots.
  • Freqtrade: A popular, extensible and well-documented Python crypto bot with strong backtesting, custom strategy, and paper trading support.
  • Freqtrade-Strategies: A curated library of community-made trading algorithms to plug directly into Freqtrade.
  • Zenbot: A lightweight, advanced trading bot that supports multiple assets, market making, paper/live trading, and technical indicator plugins.
  • Zenbot Strategies: Modular strategies for Zenbot for those who want to skip the coding and focus on testing ideas.
  • Crypto Trading Bot (Haehnchen): Simple modular crypto bot written in PHP, supporting basic long/short signals and basic TA indicators.
  • Python Bittrex Websocket: Ideal for learning about websockets and real-time crypto data feeds. Not a full bot, but a key component in custom projects.

Always review each project’s documentation and security model before deploying or connecting to live funds.

Understanding How These Bots Work

Most open-source crypto trading bot templates follow a similar architecture:

  1. Data Acquisition: Using API connectors (e.g., CCXT) to fetch real-time market data, prices, and order book snapshots from exchanges.
  2. Strategy Execution: Algorithms analyze incoming data to make buy/sell/hold decisions, often driven by technical indicators or basic rule-based setups.
  3. Order Management: Bots send orders to the exchange via APIs, track fills, and update their internal state accordingly.
  4. Logging and Risk Controls: Quality bots integrate trade logs, error handling, stop-losses, and paper trading features to minimize risk during development.

More advanced templates even support plug-and-play AI or ML modules, leveraging frameworks like TensorFlow or PyTorch for data-driven strategy testing. However, for most beginners, starting with backtesting and moving to live simulation using paper trading is a safer path.

How to Get Started Using a Free Crypto Bot from GitHub

Jumping into crypto bot development is surprisingly accessible—even for those without a formal developer background. Here are the basic steps for getting started:

  • Choose a Project: Identify a well-maintained bot template that matches your skills and goals. Check stars, forks, and recent updates on GitHub.
  • Prepare Your Environment: Install Python (or the relevant language), dependencies (listed in requirements.txt or package.json), and set up a paper trading environment if possible.
  • Review and Configure: Thoroughly read the documentation. Adjust configuration files to select trading pairs, exchanges, amounts, and risk controls.
  • Test with Paper Trading: Always test extensively with simulated funds. Observe logs and system behavior over days or weeks before connecting any live keys.
  • Research and Improve: Use analytics tools provided by the bot or combine trading logs with platforms such as Token Metrics to gain further insights into your strategies.

Community forums and project Discords can also provide invaluable troubleshooting support.

Security and Risk Considerations

Because free crypto trading bots require exchange API keys, it’s critical to understand best practices and inherent risks:

  • API Permission Structure: Generate API keys with withdrawal permissions disabled unless absolutely necessary. Most bots only require trading and information access.
  • Credential Storage: Avoid embedding credentials in the bot’s source code. Use environment variables or secure secrets management tools.
  • Review Source Code: Inspect or audit code from any bot you intend to use, especially if connecting to exchanges with real funds.
  • Regular Updates: Monitor repositories for security patches and update libraries to prevent vulnerabilities.
  • Understand Limits: Many free bots are not optimized for high-frequency, high-volume, or institutional strategies, and may have connectivity or rate limit issues.

These practices safeguard both your assets and your personal data while experimenting with crypto trading automation.

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FAQ: Common Questions About Free Crypto Trading Bot GitHub

Are these free crypto trading bots safe to use?

Safety depends on the code quality, maintenance, and how you handle API keys. Always test with paper trading, use limited API permissions, and review the codebase for security issues before any real usage.

Do I need to know programming to use these bots?

Basic familiarity with programming and your chosen language (often Python or JavaScript) is very helpful. Some projects offer easy-to-use config files, but customizing strategies usually requires code changes.

Which exchanges are supported by most crypto trading bots?

Popular open-source bots often support major exchanges like Binance, Coinbase Pro, KuCoin, and Kraken via libraries like CCXT. Always check each bot’s documentation for up-to-date exchange compatibility.

Can these bots be used for live trading?

Many free crypto trading bots allow live trading, but it's strongly recommended to start with paper trading mode and proceed cautiously. Ensure security measures are implemented, and always monitor live bots actively.

How can Token Metrics support strategy research?

Token Metrics provides AI-powered ratings, on-chain analytics, and backtesting tools that can help you evaluate and refine your algorithmic trading ideas across different crypto assets.

Disclaimer

This content is for educational and informational purposes only. It does not constitute investment advice, financial recommendations, or endorsements of any project or protocol. Always exercise caution and conduct your own research when using open-source trading bots or engaging in automated crypto trading.

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Token Metrics Team
Token Metrics Team

Recent Posts

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
MIN

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.

Announcements

Inside the Dashboard: How to Monitor API Key Activity and Monthly Usage in Real Time

Token Metrics Team
5 min
MIN

The power of any great API isn’t just in the data it provides — it’s also in the control, visibility, and accountability it gives developers. That’s why the Token Metrics API Dashboard is more than just a place to generate keys — it’s your real-time command center for monitoring API key usage, managing access, and optimizing performance.

In this article, we’ll explore how to use the Token Metrics API Dashboard to stay in control of your app’s data usage, track request history, and ensure your integrations remain secure and efficient.

📍 Where to Find It

To access the dashboard:

  1. Log in to your Token Metrics account.
  2. Go to: https://app.tokenmetrics.com/en/api
  3. Navigate to the API Keys and API Usage sections.

🔐 View and Manage API Keys

The API Keys section gives you a complete overview of every active key associated with your account. For each key, you’ll see:

  • Key Name: Descriptive labels like "Bot A" or "Staging Server"
  • Created Date: When the key was generated
  • Last Used: Timestamp of the most recent request
  • Status: Active or inactive toggle
  • Actions: Trash icon to instantly delete a key

💡 Why It Matters:

  • Spot unused or stale keys that may pose a security risk
  • Instantly disable or delete a key if it’s compromised
  • Monitor which app or environment is making the most requests

📊 Monitor API Usage in Real-Time

In the Usage Dashboard, Token Metrics gives you deep insights into how your API credits are being used.

Key metrics include:

  • API Calls Graph
    A daily call volume chart so you can identify peaks in usage, anomalies, or unexpected surges.

  • Total Monthly API Calls
    Example:
    8,750 / 20,000
    See how much of your monthly quota you’ve used — and when it resets.

  • Remaining API Credits
    Know exactly how many calls you have left in your current cycle.

  • API Call Statistics Table
    Each row includes:

    • Endpoint accessed (e.g., /trader-grade)
    • Timestamp of the request
    • Status code (200 = success, 401 = unauthorized, etc.)
    • Originating IP address
    • Success/failure response

🔄 Debugging & Insights Made Easy

This dashboard doesn’t just monitor—it helps you debug and optimize.

  • Quickly identify if your integration is repeatedly hitting 400 or 403 errors
  • Check whether a specific key is being overused or underused
  • Pinpoint spikes in usage that may indicate unauthorized access
  • See which endpoints are called most often — and consider caching results

⚠️ Avoid Rate Limit Surprises

If you’re on a Basic or Advanced plan, you’ll have a rate limit (e.g., 1 req/min for free users, up to 600 req/min for VIPs). The dashboard helps ensure you stay within your limits — and scale appropriately when needed.

🚀 Build Better with Transparency

In a production environment, visibility into API activity is critical. With Token Metrics, you’re never flying blind. You always know:

  • Which app is using which key
  • How many credits you’re using
  • When to optimize or upgrade

From security to scaling, the Token Metrics API Dashboard gives you the insight you need to build with clarity and control.

👉 Launch Your API Dashboard Now → tokenmetrics.com/api

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