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Portfolio Rebalancing Strategy

Automatically restore your target asset allocation to control risk and lock in gains.

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Portfolio Rebalancing Strategy chart

Overview

What is Portfolio Rebalancing Strategy?

Portfolio rebalancing is the process of periodically adjusting the weightings of assets in a portfolio to maintain a desired target allocation. Over time, winning assets appreciate and grow to represent a larger proportion of the portfolio than intended, while losing assets shrink β€” creating unplanned concentration risk. Rebalancing restores the original balance by selling a portion of the outperformers and buying more of the underperformers.

The strategy has two primary benefits. First, it enforces systematic risk control: if a single crypto asset appreciates from 10% of your portfolio to 40%, your risk exposure has quadrupled beyond your original plan. Rebalancing forces you to trim the position. Second, it can enhance returns through a mechanism called "volatility harvesting": by selling assets that have recently risen and buying those that have fallen, you are systematically selling high and buying low β€” capturing the mean-reversion premium that exists at the portfolio level even when individual assets are trending.

Three rebalancing approaches are common: calendar rebalancing (monthly, quarterly β€” simple and transparent), threshold rebalancing (rebalance when any asset drifts beyond a defined percentage from its target, e.g., Β±5%), and hybrid rebalancing (calendar-based but with a threshold trigger that brings the rebalance forward if a large drift occurs before the scheduled date). Threshold rebalancing is generally preferred because it reacts to market conditions rather than arbitrary dates.

Transaction costs and taxes are important considerations: excessive rebalancing frequency erodes returns through fees and, in taxable accounts, triggers capital gains events. In crypto with no capital gains tax (in some jurisdictions) and low trading fees, more frequent rebalancing is viable. The optimal frequency depends on the volatility of the assets β€” more volatile portfolios drift faster and benefit from more frequent rebalancing.

Rebalancing is particularly powerful for multi-asset crypto portfolios (e.g., BTC/ETH/USDC) and for risk-parity portfolios where each asset contributes equal volatility-adjusted risk rather than equal dollar allocation.

How It Works in auto-Trading

Automate It

auto-Trading's rebalancing bot monitors each asset's current portfolio weight against its target allocation on every candle close. When any asset drifts beyond the configured threshold (default Β±5%), the bot calculates the precise trades needed to restore all targets simultaneously and executes them as limit orders near the current price. Rebalancing activity is logged with before/after allocations and performance impact for each event.

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Strategy Code

Pick a script below, copy it, and use it on your chart.

Pine Script (TradingView)

This is a TradingView Pine Script strategy example for this page concept. Paste it into the TradingView Pine Editor, add it to your chart, and run it in the Strategy Tester.

//@version=6
strategy("Portfolio Rebalancing Strategy", overlay=true)
len = input.int(20, "BB Length")
mult = input.float(2.0, "Std Dev")
basis = ta.sma(close, len)

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ThinkScript (thinkorswim)

This is a thinkorswim ThinkScript strategy example for this page concept. Open thinkorswim, create a custom strategy, paste the script, and apply it to your chart.

input length = 20;
input numDev = 2.0;
def mid = Average(close, length);
def up = mid + numDev * StDev(close, length);
def dn = mid - numDev * StDev(close, length);

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