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Why Backtesting Fundamental Strategies Matters in Crypto & Stocks

8 May 2023

# The Importance of Backtesting Fundamental Strategies for Investing

Introduction

Backtesting isn’t just for day traders and quants—it’s also a powerful tool for long-term investors. Whether you're investing in crypto, stocks, or ETFs, backtesting fundamental strategies helps validate ideas, reduce risk, and improve long-term performance.

In this guide, we’ll explore why backtesting matters for fundamentals, how to do it, and how it applies to value investing, growth strategies, and crypto fundamentals.

🧠 Not sure how a backtest applies to fundamentals? Learn what a backtest is and how it fits into any investment strategy.

📌 Related: For technical-focused strategies, see Best Backtesting Investment Strategies

 

What is Fundamental Backtesting?

While technical backtesting uses price and indicators, fundamental backtesting evaluates strategies based on business or network metrics like:

Earnings, revenue growth, and valuation ratios (stocks)

On-chain metrics like active addresses or transaction volume (crypto)

Backtesting these inputs helps you understand how buying based on fundamentals would have performed over time.

Example:

Buy crypto projects with consistent wallet growth and active dev activity

Backtest performance over 1–3 years

 

Why Backtesting Fundamentals Matters

Separates narrative from results — test the actual historical impact of your thesis
Builds investor confidence — reinforces decisions with data
Finds what truly matters — identifies which metrics correlate with price growth
Improves timing — reveals better entry points or valuation windows

🔗 Related: Understand how accuracy works in Optimizing Your Crypto Backtesting

 

How to Backtest a Fundamental Strategy

Step 1: Define Your Thesis

Example: "Coins with growing active wallets outperform the market."

Step 2: Gather Historical Data

Use APIs from:

Glassnode, Messari, Santiment (for crypto)

Yahoo Finance, Alpha Vantage (for stocks)

Step 3: Build Your Signal

Example: Buy if user growth > 10% month-over-month

Step 4: Simulate Trades or Holdings

Use a rolling window: evaluate top 5 assets monthly, hold for 30 days

Step 5: Analyze Results

Compare your strategy to:

Buy and hold benchmarks

Other factor combinations

 

Popular Metrics for Backtesting Fundamentals

In Stocks:

P/E, P/S, ROE, EBITDA growth

Dividend yield vs. payout history

In Crypto:

Network value to transaction (NVT) ratio

Daily active addresses

Developer GitHub commits

Token unlock or burn schedules

📌 Related: Combine this with timing tools in Backtesting Trading Strategies in Crypto

 

Tips for Smarter Fundamental Backtesting

Use long-term data (3–5 years) to capture full market cycles

Avoid hindsight bias by simulating data availability as it was then

Compare sectors (Layer 1s vs. DeFi vs. NFT tokens)

Validate with real market events (like bear markets or black swan events)

Conclusion

Backtesting fundamental strategies empowers long-term investors to approach markets with more clarity and confidence. By relying on data instead of stories, you can find out which factors really lead to growth—and build smarter portfolios.

🚀 Start today: test a simple fundamental rule and compare it to your current investment strategy!

 

FAQs: Backtesting Fundamental Investment Strategies

1. Can fundamental analysis really be backtested?
Yes. You can create rule-based models using historical financial or on-chain metrics and simulate trades or portfolio changes over time.
2. Is fundamental backtesting useful in crypto?
Absolutely. With the rise of on-chain analytics, it's now possible to test things like wallet growth, NVT ratios, and developer activity.
3. How is it different from technical backtesting?
Fundamental backtesting focuses on the business or network health, not just price action or technical indicators.
4. Can I combine technical and fundamental strategies?
Yes! These hybrid models are powerful. For example, only enter trades that meet both fundamental growth and technical breakout criteria.
5. What tools are best for this type of analysis?
Look into Messari, Token Terminal, Glassnode, or spreadsheet modeling with API data.
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