STRATEGY

Rebalancer

Automatically rebalances your portfolio allocation across assets to maintain your target risk profile. Sells overweight winners, buys underweight laggards - disciplined contrarian portfolio management.

Steady Disciplined target-allocation maintenance.
5 min read
Rebalancer strategy bot illustration
Quick take

You decide BTC should be 60% of your portfolio and ETH 40%. Months later, BTC has run hard and is now 75% - too concentrated. Rebalancer sells the excess BTC and buys ETH to bring you back to target. Boring, mechanical, statistically beats HODL by ~77% per studies.

How it works

You set a target allocation - say 60% BTC, 30% ETH, 10% stables. The bot watches your balances and rebalances when one asset drifts too far from its target weight. The trigger can be a fixed drift % (e.g. rebalance when any asset moves 15% off target) or a calendar (e.g. quarterly review). The mechanical effect: you systematically sell strength and buy weakness, which has been shown to outperform pure buy-and-hold over time in volatile crypto markets.

Key Features

Strategy profile

A snapshot of how this strategy behaves and who it suits, not a forecast of returns.

Risk level
Calm Wild
Time horizon
Hands-on
Set & forget Active tune
Skill level

These are designer assessments of strategy character, not user-specific performance figures.

Real talk

Research-backed: threshold rebalancing at 15% drift outperforms HODL by 77.1% median return in crypto baskets. 78.67% of rebalanced portfolios beat HODL during the 2018 crash. The catch: transaction costs (exchange fees + slippage + capital gains tax) can eat 2-5% of portfolio per year if you rebalance too often. Monthly is usually overkill - quarterly + threshold trigger is the sweet spot. Match frequency to your portfolio size and tax situation.

How to use

Five steps from defining your allocation to live disciplined rebalancing.

Frequently Asked Questions

Quick glossary

Definitions for the trading terms used on this page.

Backtest
A simulation of how a strategy would have performed on historical price data. Past results never guarantee future returns - markets change.
Slippage
The difference between the price you expect and the price you actually get when an order fills. Worse on illiquid pairs and during fast markets.
Spread
The gap between the best buy price (bid) and the best sell price (ask). Tight spreads = liquid market, wider spreads = more cost per round trip.
Stop-loss
An automatic exit order that closes a losing position when price hits a chosen threshold. Caps how much one bad trade can hurt you.
Take-profit
An automatic exit order that closes a winning position once price reaches a chosen target. Locks in gains without relying on you to watch the chart.
Volatility
How sharply price moves. High volatility = bigger swings in both directions, which means more opportunity but also more drawdown risk.

Ready to keep your portfolio in line?

Spin up a Rebalancer with your target allocation. Set the drift threshold and let the bot handle the discipline you would otherwise forget.

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