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BACKTESTING · PREVIOUS-DAY HIGH BREAKOUT

Previous-Day High Breakout Backtest in Crypto: Fees, Slippage and Break-Even Costs

Buying a break of the previous day's high is a classic rule. In 24-hour crypto markets, 'previous day' depends entirely on the timezone you choose.

By ChartsPod Editorial Team · Reviewed by ChartsPod Research
Published · Updated · 5 min read

Short answer

A previous-day-high (PDH) breakout rule buys when price trades or closes above yesterday's high. Crypto has no official day, so the daily boundary (00:00 UTC is common) defines the level; a different timezone gives a different level and different results. Decide between a stop entry at the PDH (fills with slippage) or a close-above rule, compute break-even cost, and test whether the level adds value against random levels of similar distance.

Break-even cost

ItemValue (illustrative)
Trades150
Gross avg per trade+0.38%
Fees (2 × 0.05%)−0.10%
Slippage (2 × 0.04%)−0.08%
Net avg per trade+0.20%
Break-even round-trip cost0.38%
Previous-Day High Breakout: edge vs cost per trade (%)Previous-Day High Breakout: edge vs cost per trade (%): Gross edge 0.38 %; Fees 0.10 %; Fees + slippage 0.18 %.PREVIOUS-DAY HIGH BREAKOUT: EDGE VS COST PER TRADE (%)Gross edge0.38 %Fees0.10 %Fees + slippage0.18 %
Edge per trade versus cost per trade. Original ChartsPod editorial graphic.

Day boundary

Day boundaryPDH level (example)Trades
00:00 UTC61,240150
00:00 New York60,980158
00:00 Asia/Tokyo61,410143
Illustrative net avg by boundary (%)Illustrative net avg by boundary (%): UTC +0.29 %; New York +0.21 %; Tokyo +0.25 %.ILLUSTRATIVE NET AVG BY BOUNDARY (%)UTC+0.29 %New York+0.21 %Tokyo+0.25 %
Same idea, three versions. Original ChartsPod editorial graphic.

Conclusion

Related: Previous-Day Low Breakout Backtest in Crypto: Fees, Slippage and Break-Even Costs, Opening-Range Breakout Backtest in Crypto: Fees, Slippage and Break-Even Costs.

Backtest the previous-day high breakout rule with costs in ChartsPod.

Open the ChartsPod terminal

Decide between a stop entry at the PDH (fills with slippage) or a close-above rule, compute break-even cost, and test whether the level adds value against random levels of similar distance.

Test Previous-Day High Breakout Backtest in Crypto on a perpetual chart; no account is needed to chart.

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Questions readers ask

What is the previous day's high in crypto?

Depends on the day boundary you choose.

Stop entry or close?

Different fills; test both.

Does the level matter?

Compare with random levels.

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.

  1. TradingView Pine Script: Strategies — simulated fills and assumptions.
  2. TradingView Pine Script: Repainting — live vs historical calculation.
  3. 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.

CHARTSPOD EDITORIAL EDITION · RESEARCH AND EDUCATION ONLY · NOT FINANCIAL ADVICE.