Mixing Applied Science with Unusual Options to Target an Opportunity in Samsara (IOT)


Options on cell phone by Trismegist san via Shutterstock
Options on cell phone by Trismegist san via Shutterstock

Here’s a dirty little secret about unusual options screeners: every day, you’re going to find securities that trigger the algorithm due to their aberrant transactions relative to prior trends. But that doesn’t mean that every single idea on the list is worth a hoot. You got to find a way to mathematically pinpoint probabilistically enticing trades. Otherwise, you’re going to be chasing noise.

For those who are looking for an empirically compelling idea, Samsara (IOT) should be on your radar. In my column “The Saturday Spread,” I mentioned that the fleet management and safety platform provider — which is one of the leaders in applied artificial intelligence — may have a realistic chance of moving higher due to a rare quantitative signal.

We’ll get to that point later. More recently, IOT stock was one of the highlights in Barchart’s Unusual Stock Options Volume screener. On Friday, total options volume hit 9,562 contracts, representing a lift of 52.12% over the trailing one-month average. Call volume reached 8,531 contracts, with put volume down at 1,031 contracts, yielding a put/call ratio of 0.12.

On the surface, this ratio seems bullish, implying that more trades are engaging calls than puts. However, options flow — which focuses exclusively on big block transactions likely placed by institutional investors — showed that net trade sentiment on the day slipped to $131,200 below parity, thus favoring the bears.

Most of the calls? They were sold calls, otherwise known as credit-based transactions. In other words, traders were underwriting the risk that IOT stock would not rise to the profitability threshold, which is around $44.20 with an expiration date of Sep. 19, 2025.

While the options flow data might seem discouraging at first, as adventurous speculators, we can still aim for profitability below the aforementioned implied ceiling.

In any real analysis, the study must disclose a null hypothesis. Regarding the equities sector, the null hypothesis is the assumption that there is no mispricing. In other words, whether you read this article on IOT stock or not, your performance will not deviate from expected norms. Therefore, our job as analysts is to reject the null — that is, present an investment or trading idea that has a higher-than-random chance of generating alpha.

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