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Top Crypto Bot Backtesting Tools, APIs & Scripts for 2025

Analyze and optimize your crypto trading bot strategies in 2025. Explore top backtesting tools, APIs, and open-source scripts for smarter, data-driven crypto trading research.
Token Metrics Team
6
MIN

The surge in automated crypto trading has fueled demand for robust backtesting solutions. Whether you're a developer refining an algorithm or a trader validating a new crypto trading bot strategy, reliable backtesting tools are essential. As we head into 2025, new platforms, APIs, and open-source scripts are making it easier than ever to simulate strategies before risking capital in live markets.

Why Crypto Bot Backtesting Matters

Backtesting allows you to simulate a trading strategy using historical market data to understand its hypothetical performance. Effective backtesting can help developers, quant traders, and crypto enthusiasts:

  • Identify potential pitfalls in trading logic before live deployment
  • Assess risk metrics like drawdown, Sharpe ratio, and win rate
  • Optimize rule parameters for better results
  • Validate new indicators or AI-driven models
  • Accelerate research cycles by quickly iterating on multiple strategies

In fast-moving crypto markets, proper backtesting helps remove emotional bias and provides a data-driven framework for decision-making. This process is especially valuable for those employing systematic or algorithmic crypto trading bot strategies.

Best Platforms for Crypto Bot Backtesting

Choosing the right backtesting platform depends on your technical expertise, data requirements, and desired features. Here are some of the top solutions as of 2025:

  • TradingView: Offers strategy scripting (Pine Script) and backtesting directly on its interactive charts. The platform supports crypto pairs from hundreds of exchanges.
  • 3Commas: Known for its user-friendly crypto trading automation platform. Provides cloud-based backtesting tools and preset strategies for beginners.
  • CrypToolKit: Aimed at quant enthusiasts, this platform supports both manual and automated crypto strategy backtesting with customizable risk analysis reports.
  • Backtrader (Python): A favored open-source backtesting engine that supports cryptocurrency integrations via community libraries. Ideal for developers building custom strategies.
  • QuantConnect: Supports multiple asset classes and provides institutional-grade backtesting with access to historical crypto data and cloud compute power.
  • Coin Metrics Labs: Offers detailed historical on-chain and price data along with APIs to power large-scale backtests.

When evaluating platforms, consider factors like data granularity, exchange integrations, speed, and the transparency of performance metrics.

Exploring the Best Crypto APIs for Backtesting

APIs allow automated strategies to fetch accurate historical data, process live prices, and execute simulated orders. Here’s what to look for in a top-tier backtesting API in 2025:

  • Comprehensive historical data: Tick, minute, and daily OHLCV data are best for flexible research.
  • On-chain metrics and signals: Advanced APIs now include wallet flows, token supply, and rich metadata for AI-based strategies.
  • Ease of integration: RESTful endpoints or dedicated SDKs for Python, JavaScript, or other popular languages.
  • Simulated order execution: Sandboxed trading environments increase accuracy of real-world results.

Some of the leading APIs in 2025 for crypto bot backtesting include CoinGecko, CryptoCompare, Kaiko, and the Token Metrics API, which combines deep on-chain analysis with predictive trading signals and streamlined integration for quant developers.

Build Smarter Crypto Apps & AI Agents with Token Metrics

Token Metrics provides real-time prices, trading signals, and on-chain insights all from one powerful API. Grab a Free API Key

Open-Source Scripts and Libraries for Backtesting

For those who want full control or need to extend capabilities beyond platform GUIs, open-source scripts and frameworks give maximum flexibility for research and development. Some of the noteworthy options in the crypto bot backtesting landscape include:

  • Backtrader: Python-based, highly extensible, with crypto exchange connectors. Enables custom indicators and event-driven architecture.
  • Freqtrade: A dedicated crypto trading bot offering backtesting, hyperparameter tuning, and AI model integration.
  • CCXT: While primarily focused on unified trading APIs, CCXT can be combined with historical data and custom scripts to power backtests with exchange-like environments.
  • PyAlgoTrade & Zipline: Popular among quants, though users may need to adapt existing codebases for crypto assets.

When selecting or building custom scripts, prioritize transparency in calculations, accuracy in data handling, and the ability to reproduce results. Open-source frameworks are ideal for researchers who want to customize every aspect of their crypto trading bot strategy testing.

AI-Powered Tools and the Future of Backtesting

The integration of AI into backtesting is rapidly changing how traders and quant researchers optimize their strategies. In 2025, many leading platforms and APIs incorporate:

  • Predictive analytics using machine learning models
  • Natural language processing (NLP) for analyzing news, social sentiment, and community chatter
  • Advanced scenario analysis to stress test strategies under a range of market conditions
  • Automated hyperparameter optimization to refine trading bot rules

AI-driven backtesting tools enable users to uncover hidden patterns and quantify risks faster than ever. Solutions like Token Metrics are leading this wave by combining traditional backtesting tools with advanced, AI-powered analytics, helping crypto developers and researchers navigate the increasing complexity of digital asset markets.

Frequently Asked Questions

What is Crypto Bot Backtesting?

Crypto bot backtesting is the process of simulating a trading strategy on historical cryptocurrency price and volume data. It helps developers and researchers assess how a strategy would have performed, identify risk factors, and optimize settings—before using the strategy with real funds.

How Accurate Is Backtesting for Crypto Bots?

Backtesting accuracy depends on factors such as data quality, inclusion of transaction costs, realistic slippage modeling, and whether the logic matches live market execution. While valuable, backtest results should be interpreted with caution and validated with out-of-sample data or paper trading.

What Are the Best Languages for Writing Backtesting Scripts?

Python is the most widely used language for crypto bot backtesting due to its rich ecosystem (Backtrader, Freqtrade, Pandas). Other popular options include JavaScript (Node.js for integrations), and C# (.NET-based research or GUIs).

Can AI Be Used in Crypto Bot Backtesting?

Yes, AI enhances backtesting by helping discover market patterns, optimize trading rules, and incorporate additional data sources such as on-chain analytics or social sentiment. Advanced platforms leverage AI to power predictive analytics and scenario modeling.

How to Choose the Right Backtesting Tool for Crypto?

Consider your technical proficiency, need for custom logic, required data granularity, exchange and API integrations, performance analytics, and whether you prefer GUI-based platforms or scriptable frameworks. Test your strategy on several tools for benchmarking.

Disclaimer

This article is for educational and informational purposes only. It does not offer investment, financial, or trading advice. Use all tools and scripts at your own risk, and conduct thorough due diligence before deploying live trading strategies.

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Token Metrics Team
Token Metrics Team

Recent Posts

Token Metrics API

How to Build Crypto Trading Dashboard Using the Token Metrics Crypto Data API on Dune

Token Metrics Team
8 min
MIN

In today’s fast-paced crypto world, real-time data isn’t a luxury—it’s a necessity. For traders, analysts, and developers, being able to access live, actionable insights can mean the difference between profit and loss. That’s why the integration of the Token Metrics Crypto Data API with Dune is a game-changer for anyone seeking to create live dashboards backed by intelligent trading data.

In this post, we’ll walk through how to use this top crypto API to build dynamic dashboards on Dune. Whether you’re tracking bullish signals, backtesting trading strategies, or identifying top-performing tokens, this integration makes it possible—without any paid license.

Let’s dive into how you can use the best free crypto API available today to transform your trading.

What Is the Token Metrics Crypto Data API?

The Token Metrics Crypto Data API is a developer-focused gateway to powerful, AI-driven crypto data. It’s one of the top crypto APIs in 2025, giving you access to:

  • Real-time and historical trading signals
  • Proprietary trader and investor grades
  • Alpha metrics comparing trading vs. holding performance
  • Bullish and bearish token flags

This API is used by both professional quant traders and beginners seeking to automate insights. And the best part? Token Metrics provides free crypto API access to selected datasets, allowing you to create powerful dashboards without spending a dime.

Why Dune + Token Metrics API = Power Tools for Traders

Dune is a blockchain analytics platform that allows you to write SQL queries and create dashboards using on-chain and off-chain data. Now that Token Metrics datasets are available on Dune, you can combine the best of both worlds:

  • Free access to high-signal proprietary metrics
  • Real-time data visualizations via Dune’s drag-and-drop dashboard builder
  • Actionable insights based on AI-driven trading intelligence

This integration unlocks a whole new level of transparency and utility for crypto analysts, portfolio managers, and DeFi enthusiasts.

Getting Started: Accessing Token Metrics Data on Dune

To begin, create a free Dune account. Once logged in, navigate to the Token Metrics datasets. These are publicly accessible and updated regularly. You’ll find tables for:

  • trading_signals
  • trader_grades
  • investors_grades
  • tokens

Start a new SQL query and choose the dataset you want to explore. Here’s what you’ll find in the trading signals table:

‍

‍

Step-by-Step: Creating an Actionable Dashboard with Token Metrics Data

1. Query the Trading Signal Returns

Write a SQL query to calculate the average return of trading vs. holding strategies. For example:

This gives you the alpha—how much better the Token Metrics strategy performs compared to just HODLing.

In one real example, the average signal return across all tokens was 1630%, while holding returned just 400%. That’s a 12X improvement powered by this top crypto API.

2. Identify Top-Performing Tokens

Now let’s list tokens with the highest average alpha:

Tokens like BTC, ETH, BNB, and even newer ones like Virtuals stand out due to exceptional alpha performance.

3. Visualize Trader Grades vs. Alpha

The trader grade is a proprietary score from Token Metrics that predicts how favorable a token is for short-term traders.

Use a scatter plot to correlate trader grades with average alpha:

  • X-axis: Trader Grade
  • Y-axis: Average Alpha
  • Group by: Token Symbol

This helps you visually determine which tokens score high and offer exceptional returns—an essential tool for making actionable trading decisions.

4. Track the Latest Bullish Signals

Want to know which tokens are bullish right now? Here’s a query to find the most recent tokens flagged as bullish:

For example, on July 4th, tokens like BNB, XRP, and BTC were among the most recent bullish signals—perfect for immediate trade setups.

5. Build and Share Your Dashboard

Once you’ve run your queries:

  • Click “Add Visualization” in Dune
  • Choose from chart types (bar, scatter, progress bar, etc.)
  • Customize colors and filters
  • Combine multiple charts into a single dashboard

Your final product will be a real-time dashboard powered by the best crypto API, delivering insights that you—and your team—can act on instantly.

Why Token Metrics Is the Best Free Crypto API for Traders

Here’s why Token Metrics stands out among other APIs:

✅ AI-Driven Signals

Most APIs deliver raw data. Token Metrics provides curated signals, generated from machine learning models trained on market cycles, indicators, and price action.

✅ Proprietary Metrics

Access unique indicators like trader grade and investor grade, unavailable anywhere else.

✅ Real Historical Alpha

Use the API to backtest strategies. In the example shown, the AI strategy outperformed the market by over 1000X for some tokens.

✅ Seamless Integration

Whether you're using Dune, Zapier, OpenAI, or Eliza OS, Token Metrics is easy to integrate and query—making it the top crypto API for developers and analysts alike.

Final Thoughts

The combination of Token Metrics’ intelligent data and Dune’s visualization tools puts immense power in your hands. Whether you’re tracking market trends, building bots, or guiding portfolio decisions, this integration gives you everything you need to trade smarter.

With free access to real-time trading signals, alpha comparisons, and powerful visualizations, Token Metrics proves why it's the best crypto API for today’s data-driven investor.

Ready to try it out?
👉 Explore the Free Crypto API
👉 Start Building on Dune

Crypto Basics

What Is an ETF Stock? A Beginner’s Guide to Exchange-Traded Funds in 2025

Token Metrics Team
8 min
MIN

In today’s fast-moving financial markets, Exchange-Traded Funds, or ETF stocks, have emerged as one of the most popular investment vehicles for beginners and professionals alike. But what exactly is an ETF stock, how does it work, and why is it considered a smart way to invest?

This guide will walk you through everything you need to know about ETF stocks in 2025—including how they work, their benefits and risks, and how AI platforms like Token Metrics are changing the way people research and trade ETFs in both traditional and crypto markets.

📌 What Is an ETF Stock?

An ETF stock refers to a share of an Exchange-Traded Fund—a type of investment fund that trades on stock exchanges, much like individual company stocks. Each ETF holds a basket of underlying assets such as:

  • Stocks (e.g., S&P 500 companies)
  • Bonds
  • Commodities (like gold or oil)
  • Currencies
  • Cryptocurrencies (Bitcoin, Ethereum, etc.)

When you buy an ETF stock, you’re buying a fractional share of the entire portfolio of assets held by that ETF.

🔍 How Does an ETF Stock Work?

ETF stocks work like this:

  1. Creation: An asset management company (like BlackRock, Vanguard, or Fidelity) creates an ETF that tracks a specific index, sector, or asset type.
  2. Listing: The ETF is listed on a stock exchange such as the NYSE or Nasdaq.
  3. Trading: Investors can buy and sell ETF shares throughout the trading day, just like they would a stock like Apple or Tesla.
  4. Price Movement: The price of an ETF stock fluctuates during the day based on the Net Asset Value (NAV) of its holdings and supply-demand dynamics in the market.

This model provides a liquid, transparent, and low-cost way for investors to gain diversified exposure to entire markets or sectors.

📊 Example of an ETF Stock

A good example is the SPDR S&P 500 ETF Trust (SPY), which tracks the performance of the S&P 500 index. When you buy a share of SPY, you gain exposure to 500 of the largest U.S. companies—without needing to buy each stock individually.

✅ Benefits of ETF Stocks

ETF stocks offer numerous advantages for investors in 2025:

1. Diversification

Instead of buying individual assets, ETF stocks offer instant diversification by holding dozens or hundreds of securities in a single share.

2. Liquidity

ETFs are traded on exchanges, making them highly liquid. You can buy or sell them at market prices during normal trading hours.

3. Lower Costs

ETFs typically have low expense ratios (as low as 0.03%), especially compared to mutual funds or actively managed portfolios.

4. Transparency

Most ETFs disclose their holdings daily, giving investors a clear view into what they’re buying.

5. Flexibility

You can use ETFs for long-term investing, short-term trading, hedging, or generating income through dividends.

⚠ Risks of ETF Stocks

Despite their many benefits, ETF stocks do come with some risks:

1. Market Risk

ETF stocks are still subject to market volatility. If the underlying assets decline in value, so will the ETF.

2. Tracking Error

Some ETFs may not perfectly replicate the performance of their index due to fees, slippage, or illiquid assets.

3. Overexposure

Because ETFs make it easy to invest, some investors may unknowingly become overexposed to a particular sector or strategy.

4. Liquidity Risk

Not all ETFs are created equal. Low-volume ETFs may have wider bid-ask spreads, increasing trading costs.

đŸȘ™ Crypto ETFs: The New Frontier

In 2025, crypto ETF stocks have become a hot trend. These funds allow investors to gain exposure to digital assets without managing private keys, wallets, or blockchain protocols.

Types of crypto ETFs include:

  • Spot ETFs: Hold actual crypto assets (e.g., Bitcoin, Ethereum).
  • Futures ETFs: Track the price of crypto futures contracts.

Popular examples in 2025 include:

  • IBIT (BlackRock Bitcoin ETF)
  • FBTC (Fidelity Bitcoin ETF)
  • ETHX (Ethereum Spot ETF)

Crypto ETFs have opened the door for institutional and traditional investors to gain exposure to the crypto market in a regulated and simplified manner.

đŸ€– How Token Metrics Helps You Trade ETF Stocks Smarter

Whether you're interested in traditional ETF stocks or crypto ETFs, Token Metrics provides the AI-powered insights you need to make better investment decisions.

🔎 1. AI-Powered Ratings

Token Metrics assigns each token or ETF a Trader Grade and Investor Grade based on price trends, volume, volatility, and technical strength—making it easy to spot outperformers.

📈 2. Bullish and Bearish Signals

AI-driven signals show when it’s time to buy or sell based on real-time metrics like ETF inflows, exchange balances, and market sentiment.

📊 3. Price Forecasts

Get access to predictive models that estimate where Bitcoin, Ethereum, and major crypto ETFs are headed—based on 80+ factors.

🔔 4. Smart Alerts

Set custom alerts for ETF stock signals, price movements, or grade changes so you never miss an opportunity.

By combining ETF investing with Token Metrics’ AI analytics, you gain an informational edge in markets that move faster than ever.

📈 Popular ETF Stocks in 2025

Here’s a list of top-performing ETF stocks across traditional and crypto sectors:

🧠 Final Thoughts

ETF stocks are a powerful investment tool in 2025, offering instant diversification, low fees, and easy access to traditional and crypto markets. Whether you're looking to build a retirement portfolio or ride the next Bitcoin rally, ETF stocks make it easier than ever to invest with confidence.

And with platforms like Token Metrics, you don’t need to guess your way through ETF trading. Use AI-driven insights, price predictions, and real-time data to get ahead of the curve—no matter what markets you trade.

Crypto Basics

What Is an ETF in Crypto? A Complete Guide for Crypto Investors in 2025

Token Metrics Team
8 min
MIN

The world of crypto investing is expanding at lightning speed. With growing institutional adoption and mainstream interest, new financial instruments are emerging to make crypto more accessible to everyday investors. One of the most impactful of these tools is the Exchange-Traded Fund (ETF) — and in 2025, crypto ETFs are playing a crucial role in shaping the future of digital asset investing.

📊 What Is an ETF?

An ETF (Exchange-Traded Fund) is a type of investment fund traded on traditional stock exchanges, just like individual stocks. ETFs hold a basket of assets such as stocks, bonds, commodities—or, in this case, cryptocurrencies.

When you buy shares of an ETF, you’re investing in a diversified portfolio managed by an institution. Instead of buying each asset individually, ETFs let you gain exposure to a group of assets through a single security.

đŸȘ™ What Is a Crypto ETF?

A crypto ETF is a special type of ETF that tracks the price of one or more cryptocurrencies, such as Bitcoin, Ethereum, or a basket of altcoins. These ETFs allow investors to gain exposure to crypto markets without needing to buy, store, or manage digital assets directly.

Crypto ETFs are listed on traditional financial exchanges (like Nasdaq or NYSE) and can be purchased via brokerage accounts—making them ideal for both institutional investors and crypto-curious retail traders.

🔍 Types of Crypto ETFs

There are two main categories of crypto ETFs:

1. Spot Crypto ETFs

  • Directly hold the underlying cryptocurrency (e.g., Bitcoin, Ethereum).
  • Track the real-time price of the asset.
  • Considered the most accurate and direct method of gaining crypto exposure.
  • Example: BlackRock’s iShares Bitcoin Trust.

2. Futures-Based Crypto ETFs

  • Do not hold actual cryptocurrency.
  • Invest in futures contracts that speculate on the asset’s future price.
  • Prone to “tracking errors” and additional management fees.
  • Example: ProShares Bitcoin Strategy ETF (BITO).

In 2025, spot ETFs have become more popular, especially after multiple approvals in major markets like the U.S., Canada, and Hong Kong.

✅ Benefits of Crypto ETFs

Crypto ETFs offer a range of advantages for investors seeking exposure to digital assets without managing crypto wallets or private keys.

1. Accessibility

  • Trade crypto exposure from a traditional brokerage account.
  • No need for crypto exchanges, wallets, or DeFi protocols.

2. Regulation and Security

  • Managed by licensed institutions and regulated by bodies like the SEC.
  • Custody solutions are handled by professionals (e.g., Coinbase Custody, Fidelity Digital).

3. Diversification

  • Some ETFs offer exposure to a basket of cryptocurrencies, reducing risk.
  • Others may focus on specific sectors like DeFi or metaverse tokens.

4. Tax and Retirement Account Eligibility

  • Can be included in IRAs, 401(k)s, and tax-advantaged portfolios in some jurisdictions.

⚠ Risks of Crypto ETFs

While crypto ETFs simplify access, they are not risk-free.

1. Management Fees

  • ETFs charge annual fees (0.20%–1.00%), which can affect long-term gains.

2. Lack of Full Ownership

  • You don’t hold the actual coins, so you can’t use them for staking, yield farming, or DeFi.

3. Volatility

  • Crypto markets are still highly volatile. ETF prices can fluctuate rapidly.

4. Tracking Errors (Futures ETFs)

  • Futures-based ETFs often lag behind the spot price of the cryptocurrency.

💡 Why Crypto ETFs Matter in 2025

The launch and adoption of crypto ETFs signal mainstream validation of the crypto market.

  • Over $60 billion has poured into Bitcoin and Ethereum ETFs since early 2024.
  • Institutional players like BlackRock, Fidelity, and ARK Invest are leading issuers.
  • Spot Bitcoin ETFs helped propel BTC above $118,000 in July 2025.
  • Regulatory green lights from the SEC, MAS, and other regulators mark a shift in global crypto policy.

Crypto ETFs reduce barriers to entry and give traditional investors a safe, regulated way to participate in the digital economy.

đŸ€– How Token Metrics Helps You Analyze Crypto ETF Trends

As ETFs drive price action, tools like Token Metrics give you an edge by turning market noise into actionable intelligence.

đŸ”č Real-Time Bullish/Bearish Signals

Token Metrics' AI algorithm scans exchange inflows, ETF data, and sentiment to issue buy/sell signals for major cryptocurrencies like Bitcoin, Ethereum, XRP, and more.

đŸ”č Institutional Flow Tracking

Track ETF fund flows to understand where institutions are allocating capital—key for timing your own entries and exits.

đŸ”č Price Predictions and Trend Grades

AI-generated price predictions, trader grades, and investor scores help you assess risk before investing in ETF-driven rallies.

đŸ”č Portfolio Tracking

Token Metrics syncs with your wallet or brokerage to track crypto ETF exposure alongside your on-chain tokens.

By using Token Metrics, you’re not just following ETF trends—you’re staying ahead of them.

🔄 Popular Crypto ETFs in 2025

Here are some of the top-performing crypto ETFs currently available:

These ETFs are helping investors tap into the gains of crypto markets—without the complexity.

🧠 Final Thoughts

Crypto ETFs represent a pivotal shift in how digital assets are being embraced in traditional finance. They offer accessibility, regulatory clarity, and simplified crypto exposure for everyone from hedge funds to retail investors.

But smart investing goes beyond headlines. Platforms like Token Metrics help you:

  • Time entries and exits with AI-powered signals

  • Track ETF fund flows to gauge institutional momentum

  • Build conviction using on-chain data and predictive analytics

In 2025 and beyond, the winning strategy is clear: combine the safety of ETFs with the intelligence of Token Metrics.

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