Calculator
Trades Required
US Stocks: −$5,000 · Bonds: +$3,000 · Cash: +$2,000
Rebalancing Analysis
Drift exists but no position is off target by as much as your 5% rebalancing band — you could wait. If you rebalance now, trading about $5,000 (3.3% of the portfolio) locks the allocation back down.
*Assumes current values are market values and targets are percentages of the total. Does not account for capital gains tax on sales, brokerage, or fund minimums. Educational only, not investment advice.
You pick an asset allocation — say 60% shares and 40% bonds — for the risk you are willing to take. Then the market does its thing: equities rally for two years and your portfolio quietly drifts to 70% growth assets. You have not changed your mind about risk, but your portfolio has. Rebalancing is the discipline of selling what grew and buying what lagged to restore the original mix. It is one of the few genuine free lunches in portfolio management, because it forces you to buy low and sell high mechanically, and it keeps a bad year in your overweighted asset from doing permanent damage to the plan. The catch is that rebalancing by intuition is a mess. Figuring out exactly how many dollars to move across four or five holdings, whether to sell winners or point new contributions at the laggards, and whether the drift is even worth acting on — that is arithmetic, and it is exactly what this calculator does. Most industry super funds rebalance their pre-mixed options automatically, but anyone running a self-managed super fund or a broker-held portfolio of ETFs has to do it themselves. The good news for Australians: inside super accumulation and pension phase there is no capital gains tax on trades, which makes a SMSF the cheapest place in the entire financial system to enforce discipline.
For each asset the math is a single line: trade = (target % ÷ total targets) × total portfolio value − current value. A positive result means buy; a negative result means sell. Targets are normalised against their own sum, so a set that totals 90 or 110 still produces a proportional plan (though 100 is the goal). Trade-only mode applies that formula directly: the dollars sold in overweighted assets equal the dollars bought in underweighted ones, so the plan costs nothing but turnover. New-money-first mode is smarter when you are actively contributing: instead of selling, the calculator pours new dollars into the underweighted assets until either the contributions run out or every asset hits target — an iterative water-fill that only generates sells if contributions cannot close the gap. Finally, the drift check flags every position whose current weight differs from target by more than your rebalancing band (say ±5%), so you can distinguish urgent rebalancing from routine drift not worth the brokerage or, outside super, the capital gains tax event.
The point of rebalancing is to keep your portfolio's volatility and drawdown profile at the level you planned — not to maximise growth. A never-rebalanced equity-heavy portfolio can beat a rebalanced one in bull markets, but it will also crash harder than you can stomach. The return sacrifice is usually small; the risk control is the entire value.
Selling an appreciated asset in a personally held brokerage account triggers capital gains tax — potentially at your full marginal rate if held under 12 months, or halved after that. Inside super, both accumulation and pension accounts pay zero CGT on trading, so the precise trade-based rebalance belongs there. Outside super, direct new contributions and dividends at the laggards first and sell only when drift exceeds your band.
Rebalancing at every quarterly checkpoint generates trades for 1–2% drifts that vanish by next quarter anyway. A threshold-based rule — act only when a position drifts beyond, say, 5 percentage points from target — cuts trading frequency by more than half in backtests with near-identical risk control. That threshold is exactly what this tool's band setting models.
Put a quarterly calendar reminder to update your values here. If no position has drifted outside your band, do nothing — drift under 5 points rarely justifies brokerage costs or tax bills.
Use the New Money First mode for personally held portfolios: steer each deposit and distribution payment to the laggards. Do the precise trade-based rebalance inside your SMSF or super fund, where sells are tax-free, and let the two together hit the same targets.
Decide the allocation while the market is calm, enter it here, and save the URL. When equities have rallied 30%, the only thing standing between you and panic-chasing is that written target — the calculator just executes it. SMSF trustees should record the target in the fund's investment strategy, as the ATO expects the strategy to match what the fund actually holds.
Elena set a 70/30 share/bond mix in her SMSF at 45 and forgot it. Three years of strong markets later, this tool showed she was running 81% growth assets — a risk level she would never have chosen consciously. She sold about $6,200 of share funds and moved them into bonds, restoring 70/30 and shaving her projected worst-case drawdown by several points before the next downturn tested her.
Marcus held an ETF portfolio outside super alongside his super account, both targeting 60/40, and the personal side had drifted overweight shares. Selling would have triggered a $2,400 capital gains bill at his marginal rate. Instead, he toggled New Money First, steered that quarter's $8,000 of savings entirely into bonds, and closed most of the drift without a single taxable sale — then fine-tuned inside super where selling costs nothing.
During a 20% equity drawdown, the Nguyen family's 75/25 portfolio slid to 68/32 — exactly the moment their plan said to buy shares, not sell. The calculator quantified it: $18,000 from bonds into equities. It was terrifying to execute, but that rebalance added a full two percentage points to their next recovery, and the habit has repeated every cycle since.
Everything you need to know about this topic.

Financial Chaos Analyst
Ivy Sinclair-Wren is a Financial Chaos Analyst covering investing, AI, wealth psychology, and the emotional consequences of opening finance apps during market crashes. Based in Melbourne, she specializes in demystifying the Australian tax code and helping users navigate the intersection of spreadsheet logic and human irrationality.