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Oleksandr | CalculatorAI
Oleksandr | CalculatorAI

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How to Recover a Losing Portfolio

I Built a Portfolio Recovery Tool Because “Wait Until It Comes Back” Is the Wrong Math

If you've ever watched an investment portfolio fall 50%, 70%, or more, you probably know the thought:

“I just need these assets to get back to my entry price.”

But mathematically, that's not actually what needs to happen.

Your portfolio doesn't care which asset makes the money back.

Break-even is one number.

And that realization led me to build Portfolio Recovery inside CalculatorAI.

The problem with how we look at losses

Imagine you invested $82,465.

Today, your portfolio is worth $32,833.

That's a loss of:

$49,632 (-60.2%)

To return to break-even, the portfolio needs to grow by roughly 151% from its current value.

But here's the important part:

You don't need every individual asset to return to its original purchase price.

The $49,632 recovery gap could theoretically come from:

  • one large position performing extremely well
  • several assets partially recovering
  • completely different assets appreciating
  • additional monthly contributions
  • or a combination of all of them

The portfolio only cares about the final number.

Percentage loss can also be misleading

Another thing became obvious while I was building this.

The asset with the biggest percentage loss isn't necessarily the biggest problem.

Imagine:

Asset A: $200 position, down 90%

Asset B: $40,000 position, down 15%

Asset A looks catastrophic on a performance screen.

But in actual dollars, Asset B has a much larger impact on your portfolio recovery.

Most portfolio dashboards naturally draw your attention toward percentages.

For recovery planning, I wanted to look at the problem differently:

Where does the missing money actually live?

Building Portfolio Recovery

So I built a workspace that starts with the portfolio's actual cost basis and current value and works backwards.

It calculates:

  • the exact dollar gap to break-even
  • the return required from today's portfolio value
  • a 0–100 Recovery Score
  • how much each position contributes to the portfolio's loss
  • the return an individual position would need to close the entire portfolio gap on its own
  • when break-even would happen at an assumed annual return
  • how monthly contributions change the recovery timeline
  • what annual return would be required to recover within a chosen timeframe

But there was one rule I wanted to keep from the beginning:

No predictions.

Inverting the usual forecasting problem

A lot of investing tools ask:

What will my portfolio be worth if it returns 10% annually?

I wanted to ask the opposite question:

If I want this portfolio back at break-even in three years, what annual return would actually be required?

That's a very different question.

The software isn't claiming the market will produce that return.

It's simply telling you what would mathematically have to happen.

If the answer is 12%, that's useful.

If the answer is 85%, that's useful too — perhaps even more useful.

The assumptions belong to the user.

The application just does the math.

Why I think this is more useful than another P&L chart

Portfolio trackers are already very good at telling us what happened.

You're down 42%.

Bitcoin is up.

This stock is down.

Your allocation changed.

Your P&L is -$18,420.

All useful information.

But once a portfolio is deeply underwater, the more interesting question becomes:

“Okay. What would it actually take to recover from here?”

That's the question I wanted Portfolio Recovery to answer.

I built it as part of the CalculatorAI Portfolio Tracker:

https://calculatorai.app/best-portfolio-tracker

It supports stocks, ETFs, crypto, indexes, commodities and custom assets, but Portfolio Recovery is probably one of my favorite parts of the project so far.

Not because it predicts anything.

Because it doesn't.

It takes an emotional question — “Will my portfolio ever come back?” — and turns it into a set of numbers you can actually inspect.

I'd be interested to hear how other developers and investors would approach this.

What other metrics would you want to see when analyzing recovery from a large portfolio drawdown?

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