How you can use AI to know when to sell

It's generally easy for fund managers to tell you about all the stocks they love, but the art of selling is a far more difficult discipline.
Arms Rosenberg

Minotaur Capital

As we are sure you are well aware, it’s been a particularly tumultuous quarter for markets. Trump’s tariff whiplash has pushed investors' blood pressures higher, geopolitical ties have unravelled, and volatility has soared to levels not seen since the beginning of the COVID-19 crisis.

Low-volatility stocks are outperforming the broader market and living up to expectations of doing well when things sour. Two of the largest low-volatility ETFs - the Invesco S&P 500 low-volatility ETF and the MSCI USA Min-Vol Factor ETF - are posting their best relative performance in a few years.

US stocks have gone from scaling record highs to flashing recession worries in a matter of weeks. What began as a mild decline in expensive tech stocks has morphed into a full-scale flight from the US, with the Trump administration indicating that it's prepared to handle some distress in both the market and the economy.

Increasing uncertainty has made it difficult for even the most astute investor to remain level-headed. But that’s where AI comes in. 

In this wire, we'll be sharing how we have been using our AI superpower, Taurient, to battle our behavioural biases, helping the Minotaur team strengthen our selling and shorting capability. Hopefully, by reading this wire, you’ll pick up a few ideas on how you might harness AI for yourself.

Using AI to strengthen selling and shorting

Recently, the Minotaur team has been thinking a lot about confirmation bias. We humans, despite all our strengths, have an underlying tendency to focus on and put our faith in evidence that fits with our existing beliefs. In investing, this is particularly pertinent, as we tend to seek out information that supports our thesis on the market or individual stocks, rather than contemplating why we may be wrong.

So, what if we could use our AI superpower, Taurient, to not only hold us accountable but keep confirmation bias at bay, helping us to move quickly when our thesis no longer has legs? As Mark Twain penned, 'It ain't what you don't know that gets you into trouble. It's what you know for sure that just ain't so.'

With this in mind, we developed an AI-generated "Thesis Validation/Invalidation Report", which enables us to quickly understand the aspects of an earnings report that either support or challenge our thesis on any given company. Taurient then provides a recommendation of what it thinks we should do (i.e. close position, add to position, etc), which we can choose to ignore or take on board. 

For example, we shorted Zillow (NYSE: Z) in August 2024, America's answer to REA Group. We believed that changes in real estate brokerage commissions in the US would put downward pressure on buyers agent commissions, negatively impacting Zillow's business (which relies heavily on revenue from buyers agents' purchasing leads). 

We were wrong.

Taurient, unlike an analyst, isn't afraid of hurting our feelings, outlining that Zillow's update in November strongly challenged our thesis. The recommendation? That we "abandon our short on Zillow"... Which we did, and was ultimately the right decision. 

We have now incorporated this into our research process for every stock in the portfolio - helping us to maintain conviction in our positions, but also keep us humble enough to quickly move when we get it wrong.

More recently, we sold out of our position in MongoDB (NASDAQ: MDB) on its result using this report. The stock's share price has plummeted 20% since then. We also trimmed our position in Prysmian (MTA: PRY) after Taurient predicted it was likely to downgrade its long-term earnings guidance at its capital markets day at the end of March... which it did.

Understanding that confirmation bias can sway investors' decision-making has also aided in our ability to pick shorts. Analysts, we've come to realise, naturally seek information confirming their existing thesis – a tendency amplified in institutional settings where admitting error could carry career risks. This reluctance to accept negative signals creates opportunity.

We call this "Bad News Drift" - when investors are slow to react to negative news, initially waiting a few days or weeks to see if anything changes before making a decision. Sure, there may be an initial sell-off on negative news, but often it takes several trading days or even weeks to see its full impact.

With "Bad News Drift" in mind, we've shorted WiseTech Global (ASX: WTC), Tesla (NASDAQ: TSLAand Bumble (NYSE: BMBL), all of which have been strong contributors to the Fund. 

In the case of Australia's most expensive tech company, the secret private life of WiseTech CEO and founder, Richard White, caused some initial pain in the company's share price. However, it was ultimately director resignations and an earnings downgrade that pushed the company off a cliff, with WiseTech's share price plummeting ~30% since mid-February. We have since closed out this short.

Meanwhile, if Elon Musk slinging a Nazi salute and a chainsaw on stage weren't a death knell for Tesla, its sales plummeting while Chinese producers go from strength to strength certainly has been. We've been shorting the stock since early February, and while it's been a volatile ride, its share price is down 23% since then.

Bumble, while certainly less dramatic, faces its own death spiral, and its turnaround efforts are unlikely to reverse fundamental declines in user growth, monetisation, and market share. We see no reason why this company will continue to exist in five years, particularly given competition from its rivals Tinder and Hinge. The stock was down 22% before we shorted it, but has fallen another 33% since.

Outlook

Despite the uncertain geopolitical environment and ongoing volatility that has hounded markets in 2025, we believe the portfolio is well-positioned for the year ahead and have been using the recent sell-offs as an opportunity to load up on some of the market's mispriced gems. 

We are using our AI superpower, Taurient, to help guide us through the recent turmoil, distinguish signal from noise, and keep our behavioural biases in check when investors need it most. Taurient gives us another perspective and potentially a dissenting voice whose arguments we need to combat. As Plutarch says, "Know how to listen, and you will profit even from those who talk badly".

Want more like this? 

Follow me for more insights like this and if you enjoyed this wire, remember to give it a like. If you would like more insights on how we are using AI to supercharge fundamental investing, let me know in the comments section below.  

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This information is for general information only and is not an offer for the purchase or sale of any financial product or services. The Information is not intended to provide you with financial or tax advice and does not take into account your objectives, financial situation or needs. Although we believe that the Information is correct, no warranty of accuracy, reliability or completeness is given, except for liability under statute which cannot be excluded. Please note that past performance may not be indicative of future performance and that no guarantee of performance, the return of capital or a particular rate of return is given Sandford Capital, Minotaur, K2 Asset Management or any other person. To the maximum extent possible, Sandford Capital, Minotaur, K2 Asset Management or any other person do not accept any liability for any statement in this Information.

Arms  Rosenberg
Portfolio Manager
Minotaur Capital

Arms is the co-founder and co-Portfolio Manager of Minotaur Capital Management, which leverages an AI-led approach to investing in global equities to deliver superior risk-adjusted returns. Prior to founding Minotaur, Armina was the Portfolio...

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