200-Day Moving-Average Filter Backtest in Crypto: Fees, Slippage and Break-Even Costs
A 200-day moving-average filter keeps a strategy long only above the line. On crypto it often cuts drawdowns, at the cost of whipsaws near the average.
Short answer
A 200-day MA filter is usually an add-on: trade only when price is above the 200-day moving average. It tends to reduce exposure during prolonged downtrends but whipsaws when price oscillates around the line, causing repeated entries and exits with costs. Compute break-even cost for the filtered system, count filter flips per year, and consider a buffer (e.g. 2% above/below) or a closing-basis rule to reduce whipsaws. Remember the 200-day MA needs 200 days of history before it exists.
Break-even cost
| Item | Value (illustrative) |
|---|---|
| Trades | 36 |
| Gross avg per trade | +2.40% |
| Fees (2 × 0.05%) | −0.10% |
| Slippage (2 × 0.05%) | −0.10% |
| Net avg per trade | +2.20% |
| Break-even round-trip cost | 2.40% |
Whipsaw buffer
| Rule | Flips per year (illustrative) | Cost drag |
|---|---|---|
| Close crosses MA | 14 | Higher |
| ±2% buffer | 6 | Lower |
| Weekly close basis | 4 | Lowest, slowest |
Conclusion
Related: Moving-Average Pullback Backtest in Crypto: Fees, Slippage and Break-Even Costs, How to Compare a Crypto Strategy With Buy and Hold Fairly.
Backtest the 200-day ma filter rule with costs in ChartsPod.
Open the ChartsPod terminalRemember the 200-day MA needs 200 days of history before it exists.
See 200-Day Moving-Average Filter Backtest in Crypto on live data in the free ChartsPod terminal.
Open the ChartsPod terminalQuestions readers ask
What does a 200-day MA filter do?
Keeps exposure only above the long-term average.
Why does it whipsaw?
Price oscillates around the line.
How do I reduce whipsaws?
Buffers or weekly-close rules; test them.
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.
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.
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