Outrageous Predictions
Executive Summary: Outrageous Predictions 2026
Saxo Group
Investment and Options Strategist
Summary: Earnings season is not just about being right on direction - it is about structuring risk before the gap happens. This article shows how defined-risk option structures can help you align horizon, thesis, and capital more deliberately when trading earnings.
Many traders start with a simple earnings play: buy shares a few days before the release, hope for a positive surprise, and decide what to do after the print. It can work, but it concentrates risk exactly where markets are least forgiving: the overnight repricing, when gaps do not ask for permission.
Options do not predict earnings. What they can do is reshape the payoff so that maximum loss is known upfront and exposure can be tailored to what you are actually trading: direction, magnitude of move, or post-event behaviour.
Buying shares into earnings means accepting open-ended downside into a binary-style event. A defined-risk option structure changes that equation. The maximum loss is fixed at entry, whether that loss is the premium paid or the capped difference inside a spread.
This does not eliminate risk. Liquidity can deteriorate. Bid-ask spreads can widen sharply. Price can gap beyond expectations. But the structural worst-case outcome is known before the event occurs.
That clarity alone can change position sizing decisions and risk tolerance.
Important note: The strategies and examples provided in this article are purely for educational purposes. They are intended to assist in shaping your thought process and should not be replicated or implemented without careful consideration. Every investor or trader must conduct their own due diligence and take into account their unique financial situation, risk tolerance, and investment objectives before making any decisions. Remember, investing in the stock market carries risk, and it is crucial to make informed decisions.
Not every earnings trade targets the same window. The time horizon should be chosen before the structure.
This is about the gap and immediate repricing. Traders here are typically focused on capturing or fading the earnings jump itself.
Common defined-risk approaches include short-dated vertical spreads and neutral range structures designed to cap both upside and downside exposure.
This window targets what happens after the headline passes: drift, mean reversion, guidance digestion, and analyst revisions.
Here, slightly longer-dated verticals or time-based combinations can allow the thesis to play out without concentrating all exposure into one overnight move.
This remains tactical rather than long-term investing. The thesis requires time, but the downside remains predefined.
Longer-dated spreads or diagonals can allow participation while controlling capital at risk.
Shares provide linear exposure. Upside is unlimited. Downside is theoretically unlimited as well.
A defined-risk spread changes the payoff profile.
For example, a bull call spread involves buying a call at one strike and selling another call at a higher strike. The long call expresses the bullish thesis. The short call reduces the upfront cost and limits maximum profit. The trade-off is explicit: capped upside in exchange for lower capital outlay and predefined maximum loss.
Similarly, a bear put spread involves buying a put and selling a lower-strike put. It expresses a bearish view while capping both cost and potential payout.
These structures are not simply “leveraged shares.” They are engineered payoff shapes designed to balance cost, risk, and reward.
Defined-risk can also be constructed through credit spreads.
A bull put credit spread involves selling a put and buying a lower-strike put to cap risk. The trader receives premium upfront, with maximum loss predefined. The thesis is that the downside is overstated or that price will remain above a chosen level.
A bear call credit spread mirrors this logic on the upside.
Neutral range structures, such as iron condors, combine both sides. They are typically used when the thesis is that the market is pricing an overly large move.
In all cases, the defining feature is not direction alone but a capped worst-case outcome.
Consider NVIDIA’s earnings release on 25 February 2026 as an educational example.
A defined-risk range structure established before the event could experience a material reduction in remaining value after the announcement, even if price remained within the expected range. The outcome was influenced not only by direction, but by the post-event repricing of uncertainty.
The lesson is structural rather than ticker-specific: outcomes around earnings are shaped by both price path and event repricing dynamics.
A practical discipline is to define the thesis in three parts: direction, magnitude, and volatility view. Once those are explicit, the structure family can be chosen to express that combination deliberately.
This prevents defaulting to a familiar strategy without checking whether it truly matches the scenario.
Compared with buying shares outright, defined-risk spreads typically require less capital for a similar directional thesis. The maximum loss is often lower in absolute terms, which can improve capital allocation discipline.
Spreads also tend to dampen sensitivity to post-event repricing effects relative to standalone long options, because part of the structure offsets the uncertainty component.
The trade-off is always explicit: capped profit potential in exchange for reduced cost and more controlled risk.
Defined risk is a structural feature. Execution is a market reality.
Around earnings:
A payoff diagram is theoretical. The fill you obtain is practical.
Trading earnings with defined risk is not about finding a perfect strategy. It is about aligning horizon, thesis, and structure so that the worst-case outcome is acceptable before the event begins.
For active traders, that shift moves the focus from predicting the headline to engineering exposure deliberately.
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