A new strategy is now live in the backtesting dashboard: Take-Profit / Re-Entry.
The idea is old and simple — which is exactly what makes it interesting to test.
How the strategy works
The logic has two rules:
Rule 1 — Take-Profit: When price rises X% from entry, sell. Default: +50%.
Rule 2 — Re-Entry: After selling, track the post-sell high. When price drops Y% from that high, buy back in. Default: −30%.
That's it. No moving average. No RSI. No stochastic. Just price, two parameters, and clear signals.
The philosophy
Most indicator-based strategies try to measure market sentiment — is the market overbought? Overstretched? The problem: sentiment is hard to measure, and often more obvious in hindsight than in real time.
The Take-Profit / Re-Entry strategy asks a different question: What if you just took your gain and waited for the next pullback?
The strength of this strategy is its honesty. It doesn't claim to know tops and bottoms. It says: "I don't know when it'll run further — but I know a +50% move is worth locking in."
Parameters at a glance
| Parameter | Default | Effect |
|---|---|---|
| Take-Profit % | 50% | How much gain before selling |
| Re-Entry Drop % | 30% | How far from the high before buying back |
Lower take-profit (e.g. 20%) = more trades, smaller gains per trade, catches shorter rallies.
Higher take-profit (e.g. 100%) = fewer trades, larger gains — but many rallies are only partially captured.
Higher re-entry drop (e.g. 50%) = waits for deeper corrections, but misses fast rebounds.
What this strategy reveals
The interesting question when backtesting this strategy isn't "did it perform well" — it's: in which market phases does a rules-based profit-taking system make sense?
In a strong bull market, selling is expensive. Anyone who sold every time Bitcoin hit +50% in 2020–2021 sat in cash for weeks while it kept climbing.
In a volatile sideways market or a market with regular corrections, this can be exactly the right mechanic: lock in gains, wait for the dip, buy back cheaper.
That's what the backtest comparison shows — let the data decide which approach fits which phase.
Try it now
Available for all crypto pairs, all timeframes, with adjustable take-profit and re-entry parameters.