How to Backtest Funding Rate Strategies with Historical Data

Why Backtest Before You Trade?

Would you invest $10,000 in a strategy without testing it first? Backtesting lets you simulate how a funding arbitrage strategy would have performed using real historical data — before risking real capital.

Try backtesting on FundingView →

What You'll Learn

1. How to pick a pair and exchanges for backtesting
2. How to interpret backtest results
3. What pitfalls to avoid (overfitting, survivorship bias)
4. How to go from backtest to live trading

Step 1: Choose Your Pair

Start by finding a pair with a consistent funding rate spread between two exchanges.

Using the Strategy Page

Go to the Strategy page and sort by APR. Look for pairs where:

• The APR has been stable over 30+ days (not just a one-day spike)
• At least 2 exchanges consistently have different rates
• The pair has sufficient liquidity on both exchanges

Popular choices for beginners: BTC, ETH, SOL — they have the deepest liquidity and most consistent rates.

Checking Historical Stability

Before backtesting, use the History Explorer to visualize the funding rate history:

1. Select your pair (e.g., BTC)
2. Choose 90-day timeframe
3. Compare rates between your chosen exchanges

Look for consistent spread — the gap between the two lines should stay positive most of the time.

Step 2: Run the Backtest

On FundingView's Backtest page:

1. Select the symbol (e.g., BTC)
2. Choose Long exchange — the exchange where you'll go long (lower funding rate)
3. Choose Short exchange — the exchange where you'll go short (higher funding rate)
4. The backtest will simulate P&L over the historical period

What the Results Show

• Total P&L — How much you would have earned/lost
• APR — Annualized return
• Cumulative chart — Visual P&L over time
• Drawdown — Maximum negative period

Step 3: Interpret the Results

Good Signs

• Steadily rising P&L curve — Consistent earnings over time
• APR > 15% — Sufficient to cover fees and opportunity cost
• Small drawdowns — No extended periods of loss
• Consistent across timeframes — Works on 30d, 90d, and 365d

Red Flags

• Choppy P&L curve — Alternating between profit and loss
• Large drawdown periods — Extended weeks of negative funding
• APR only high in one period — Might be a temporary spike, not a reliable strategy
• Very different results on different timeframes — Sign of instability

Step 4: Avoid Common Backtesting Mistakes

Overfitting

The trap: Finding the one exchange pair that happened to work perfectly in the last 30 days.

The fix: Test across multiple timeframes (30d, 90d, 365d). If the strategy only works on one specific period, it's probably not robust.

Survivorship Bias

The trap: Only backtesting pairs that currently exist. Some pairs may have been delisted.

The fix: Focus on established pairs (BTC, ETH, SOL) that are unlikely to be delisted. Be skeptical of results from very new pairs with limited history.

Ignoring Fees

The trap: Your backtest shows 40% APR, but you forgot about 0.1% entry/exit fees on each exchange.

The fix: Subtract realistic fee estimates from your results. Use Execution Cost data for accurate numbers.

Ignoring Slippage

The trap: Assuming you can enter and exit at the exact price shown.

The fix: Add a slippage buffer (0.05-0.1%) for each trade. Large positions on low-liquidity pairs will have higher slippage.

Step 5: From Backtest to Live Trading

Once your backtest looks solid:

1. Start small — Use 10-20% of your intended capital
2. Paper trade first — Track positions mentally for a week without real money
3. Monitor the first week closely — Compare live results with backtest expectations
4. Scale up gradually — Increase capital as confidence grows

Expected Differences Between Backtest and Live

• Slippage: Live trades will have slightly worse execution
• Timing: You can't enter at the exact historical moment
• Rate changes: Future rates may differ from historical patterns
• Fees: Make sure you're using fee discounts in live trading

Advanced: Multi-Pair Portfolio

Once you're comfortable with single-pair backtesting, consider running a portfolio approach:

1. Backtest 5-10 different pairs independently
2. Allocate capital across the top 3-5 performers
3. Rebalance monthly based on updated backtests

This diversification reduces the risk of any single pair's funding rate flipping.

Tools on FundingView

Start Backtesting Now

Ready to test your strategy? Open the Backtest Tool →

Not sure which pairs to test? Check the Strategy Finder →

Backtesting uses historical data and does not guarantee future results. Always start with small positions when moving from backtest to live trading.