Staggered Crypto Buying Strategy with Backtests Across Market Regimes
Summary
The document describes a multi-asset cryptocurrency strategy that allocates capital across selected USDT pairs and places staged buy orders as prices fall through preset levels. Each level uses a specified share of the amount assigned to that asset. Positions are sold after meeting a profit condition or closed after a stop-loss trigger. The strategy uses two-times leverage in the reported tests and runs its live order placement every eight hours.
Backtests cover several periods from 2021 through 2025, plus selected rising, falling, and extreme-market episodes. Results vary widely by period: the long sample reports very large gains, while a 2025 sample shows a loss; the 2024–2025 decline test is close to flat. The March 2020 crash tests also show substantial peak losses before later recovery. Parameter substitutions produce different outcomes, but the document omits key details such as fees, slippage, execution assumptions, and full rules for price levels, profit-taking, and stops. These retrospective results do not establish future performance or robustness.
Key ideas
- The strategy distributes capital across several cryptocurrency pairs and buys in stages as prices decline.
- Each asset has a preset schedule that determines how much capital is used at each price level.
- Positions are closed after a profit condition or stop-loss trigger, with the backtests using two-times leverage.
- Reported outcomes vary substantially across periods and include large losses during an extreme crash.
- Alternative order-size parameters also produce different backtest results, leaving robustness uncertain.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.