Supertrend Trend Following Backtest in Crypto: Fees, Slippage and Break-Even Costs
Supertrend flips between long and short based on ATR bands. Always-in-the-market strategies pay costs on every flip, and many flips are whipsaws.
Short answer
A Supertrend strategy (long when price is above the Supertrend line, short when below, flipping on each change) is always in the market, so it pays round-trip costs plus double exposure changes on every flip, and pays or receives funding continuously on perpetuals. Break-even cost per flip is its gross average per trade. Measure flip frequency, whipsaw share and funding paid, use closed-bar flips with next-bar fills, and consider long-only versions if funding and shorts are costly.
Cost picture
| Item | Value (illustrative) |
|---|---|
| Trades | 260 |
| Gross avg per trade | +0.28% |
| Fees (2 × 0.05%) | −0.10% |
| Slippage (2 × 0.03%) | −0.06% |
| Net avg per trade | +0.12% |
| Break-even round-trip cost | 0.28% |
Check Supertrend Trend Following Backtest in Crypto against a live market before relying on it.
Try it in ChartsPodAlways-in costs
Illustrative: over a year, the strategy holds positions 100% of the time. Funding paid on longs during positive-funding periods and on shorts during negative ones totals −3.8%, a cost a flat-at-times strategy avoids.
Conclusion
Related: Funding Costs in Perpetual Backtests: Use Settlement Timestamps, MACD Trend Following Backtest in Crypto: Fees, Slippage and Break-Even Costs.
Include funding and per-flip costs for Supertrend strategies, and compare with long-only variants.
Compare Supertrend Trend Following Backtest in Crypto across Binance, Bybit, OKX and Hyperliquid markets.
Open markets in ChartsPodQuestions readers ask
Why is Supertrend costly?
It flips often and is always in the market.
Does funding matter?
Yes on perps; it's paid continuously.
Is long-only better?
Sometimes; test both.
Sources and methodology
Backtest cost logic follows TradingView's Pine Script strategy documentation; indicator definitions are standard. All performance numbers are illustrative examples of the method, not results of real tests.
- TradingView Pine Script: Strategies — simulated fills and assumptions.
- TradingView Pine Script: Repainting — live vs historical calculation.
- ChartsPod documentation — guides for order flow, derivatives, alerts, backtests, journal and workspaces.
- Hyperliquid docs: Funding — hourly payments, 1/8 of the 8-hour rate, oracle price for notional.
This article explains research tools and workflows. It is not financial advice, does not recommend buying or selling any asset and does not predict prices. Crypto derivatives carry a risk of rapid and total loss of margin.
CHARTSPOD EDITORIAL EDITION · RESEARCH AND EDUCATION ONLY · NOT FINANCIAL ADVICE.