Losing-Streak Planning in Crypto: When the Common Rule Produces a Misleading Result
Losing-streak probabilities usually assume trades are independent. In real markets, losses cluster in bad regimes, so long streaks are more likely.
Short answer
Standard streak maths (e.g. ≈ 49% chance of 8+ losses in 100 trades at a 40% win rate) assumes each trade is independent. When a strategy suits some regimes and not others, losses cluster: during a bad regime the effective win rate might be 25%, where 8+ losses in a row become far more likely. Plan risk for clustered streaks — test streak lengths on your own history, not only the formula.
Worked example
| Step | Value |
|---|---|
| Independent, 40% win rate | P(≥8 in 100) ≈ 49% |
| Bad regime, 25% win rate | Much higher |
| Clustering | Losses come together |
| Plan | Use observed streaks |
| Cost per loss | Risk + fees |
Planning
Probability table: Losing-Streak Planning: A Worked Crypto Example With Fees Included.
Conclusion
Related: Losing-Streak Planning: A Worked Crypto Example With Fees Included, Maximum-Drawdown Reviews in Crypto: When the Common Rule Produces a Misleading Result.
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Open ChartsPod replayQuestions readers ask
Are losing streak probabilities accurate?
They assume independence; reality clusters.
Why do losses cluster?
Regimes change a strategy's win rate.
How should I plan?
Use observed streaks and a margin.
Sources and methodology
Arithmetic uses standard sizing formulas. Fee rates (0.05% taker, 0.02% maker), slippage and funding values are illustrative; check your venue's schedule. Liquidation figures are simplified approximations; exchanges calculate them with their own maintenance-margin rules (see Bybit's documentation).
- Bybit: Liquidation process — mark price and margin modes.
- ChartsPod: product overview, pricing and FAQ — free terminal, venues, modules, no order placement; checked 17 Oct 2026.
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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