Earnings Expected Move Calculator Excel: Q2 2026 Implied Move and Straddle Dashboard

Earnings expected move calculator Excel - if you trade or watch stocks through earnings season, this is the one number you want before every report: how far is the options market pricing the stock to move on the print? This guide builds a professional-grade, dashboard-style Excel template that pulls live implied volatility and option quotes through MarketXLS, isolates the earnings move from the rest of the volatility term structure, prices the at-the-money straddle, and maps the break-even range - all refreshing the moment Q2 2026 earnings dates approach.

Q2 2026 earnings season opens in the second week of July with the big banks, rolls through mega-cap technology in the last week of the month, and runs into the AI and semiconductor names in August. Every one of those reports carries an expected move baked into option prices. A spreadsheet that reads that move directly from the market - instead of you eyeballing a straddle quote - turns earnings prep into a repeatable, two-minute routine.

Earnings expected move calculator Excel: what the dashboard shows

Here is the headline screener the template produces. The values below are illustrative (data as of June 27, 2026); in the live template every cell is a MarketXLS formula that updates on open.

The expected move is the one standard-deviation price change the options market is pricing for the earnings event. Read it as a range: roughly two out of three times the post-earnings move lands inside the band, and about one in three it breaks out. It is a probability, not a prediction, and it is wrong often enough that respecting the tails matters more than trusting the midpoint.

What the earnings expected move actually measures

When a company reports, the stock can gap. Option markets know the date, so they price extra volatility into contracts that expire after the report. That is why implied volatility almost always looks elevated going into earnings and then collapses the morning after - the well-known volatility crush.

The expected move is the market's dollar estimate of that gap. There are two clean ways to read it, and the template uses both so they cross-check each other.

Method 1: the at-the-money straddle

The simplest market-based read is the price of the at-the-money straddle that expires just after the report. Buy the call and the put at the strike nearest the current price, add the two premiums, and you have the cost of betting the stock moves. A common rule of thumb sets the expected move near 85% of that straddle debit, because the straddle also carries some time value beyond the single earnings jump.

If a stock trades at 165 and the front straddle costs 22.40, the straddle-implied move is about 19.00 dollars, or roughly 11.5% of the share price. The break-evens sit at the strike plus or minus the debit: a long straddle buyer needs the stock to move past those points to profit.

Method 2: variance decomposition from the IV term structure

The straddle is easy but coarse. A cleaner approach separates the earnings jump from normal day-to-day movement using the term structure of implied volatility.

Total 30-day implied variance contains both the earnings event and ordinary trading-day noise. MarketXLS exposes an ex-earnings implied volatility - the 30-day implied vol with the scheduled event stripped out. The difference in variance between the two is the part attributable to the report:

Earnings Move % = SQRT( MAX( IV30^2 - ExEarnIV30^2, 0 ) ) x SQRT(30 / 365)

For a name with 30-day IV at 49% and ex-earnings IV at 34%, that resolves to about a 10.4% expected earnings move. Because this method reads the isolated event premium rather than a single straddle quote, it is more stable when the nearest expiry is several weeks away from the report. The template runs this calculation on every ticker in the screener automatically.

Why a dashboard, not a one-off calculation

Anyone can pull a single straddle quote. The reason to build this in Excel is leverage: one workbook that scores twenty names at once, sorts them by expected move, flags which report in the next thirty days, and lets you drill into any single ticker's straddle and payoff. That is the difference between checking one stock and running an entire earnings calendar from a screen that looks like a designed product rather than a grid of numbers.

The template is built to be presentation-ready. It opens on a branded cover page, leads with a KPI tile row and charts above the fold, color-codes the screener with conditional formatting, and drives every downstream sheet from a single inputs page. It is the kind of dashboard you could put in front of a client or a desk without apology.

MarketXLS implementation: the formulas that power it

Every data point in the template is a live MarketXLS function. These are the core formulas, each verified against the MarketXLS function library before it went into the workbook.

Underlying and earnings calendar

=Last("NVDA")                       Current share price
=EARNINGS_DATE("NVDA")              Next scheduled earnings date
=OPT_EARNINGSREPORTTIME("NVDA")     Timing: before open (BMO) or after close (AMC)
=PREVIOUSEARNINGSREPORTDATE("NVDA") Date of the prior report

Volatility inputs

=IMPLIEDVOLATILITY30D("NVDA")              30-day at-the-money implied volatility
=EXEARNINGSIMPLIEDVOLATILITY30D("NVDA")    30-day implied vol with earnings removed
=IMPLIEDVOLATILITYRANK1Y("NVDA")           1-year IV rank, 0 to 100
=STOCKVOLATILITYTHIRTYDAYS("NVDA")         30-day realized (historical) volatility

Option chain and straddle

=OptionSymbol("NVDA", DATE(2026,8,28), "Call", 165)   Build the option symbol
=OPT_Bid(sym)   =OPT_Ask(sym)   =OPT_Last(sym)        Live option quotes
=OPT_DaysToExpiration(sym)                            Calendar days to expiry
=opt_ImpliedVolatility(price, optPrice, expiry, "Call", strike)   Black-Scholes IV

The expected-move column itself is a single Excel formula referencing the two IV cells:

=SQRT(MAX(G2^2 - H2^2, 0)) * SQRT(30/365)

where G is 30-day IV and H is ex-earnings IV. Multiply by the price for the dollar move, and add or subtract from the price for the implied range. No add-ins beyond MarketXLS, no manual data entry, no scraping - the data arrives through licensed market feeds straight into the cells.

What's inside the template

This is a premium, ten-sheet workbook, not a single tab. Here is the full walkthrough.

1. Cover - A branded title page with the edition, version, a clear "Data as of" date, and a table of contents. Gridlines are hidden so it reads like a product cover, not a spreadsheet.

2. How To Use - A step-by-step setup guide that explains every yellow input cell and names every MarketXLS formula the workbook uses, so you always know which function produced a number.

3. Dashboard - The headline sheet. A row of KPI tiles across the top (watchlist size, average earnings move, highest mover, average IV rank, names reporting within thirty days), two embedded charts, and the full earnings expected-move screener for twenty large-cap names. Conditional formatting paints implied volatility, IV rank, and the expected-move column so the hottest reports jump out. Gridlines are hidden and a print area is set for a clean landscape page.

4. Inputs & Controls - The single control panel. Yellow input cells with bold navy borders for portfolio size, risk per trade, the ticker you want to analyze, the strike, and the expiry date. Data validation dropdowns drive the ticker and the volatility scenario. Change one input and every other sheet updates.

5. Scenario Analysis - A what-if grid showing long and short straddle profit and loss across a row of realized post-earnings moves from minus twenty to plus twenty percent, with red-to-green conditional formatting and a payoff line chart. This is where you see how far the stock has to travel before a straddle buyer or seller wins.

6. Straddle / Options - The single-name drill-down. It builds the at-the-money call and put symbols, pulls live bid and ask, computes the straddle debit, the implied move, the upper and lower break-evens, and the cost per contract, then plots the long-straddle payoff diagram as a scatter chart.

7. Portfolio & Allocation - A position-sizing calculator that turns your portfolio size and risk tolerance into a suggested number of straddle contracts per name, with a capital allocation donut chart and data-bar formatting.

8. IV vs HV Comparison - The volatility risk-premium sheet. It places 30-day implied volatility next to 30-day realized volatility for every name, computes the gap, and flags each as rich, fair, or cheap with a red-to-green heatmap and a comparison chart.

9. Methodology - A one-page explainer of the variance-decomposition math, the straddle cross-check, the data sources, and the assumptions and limits, so the model is transparent rather than a black box.

10. Glossary & Disclaimer - Plain-language definitions of expected move, implied volatility, ex-earnings IV, IV rank, the straddle, break-evens, the volatility risk premium, and BMO versus AMC timing, plus an educational-use disclaimer.

Every sheet carries a MarketXLS footer and a "Functions Used in This Sheet" reference box, so you can rebuild any piece of it in your own models.

Reading the screener through Q2 2026 earnings season

A few patterns are worth understanding as you use the dashboard, framed as analysis rather than recommendations.

High expected moves cluster in high-beta names. Crypto-linked and high-growth software names tend to carry the largest implied earnings moves because their fundamentals can swing hardest on a single report. A double-digit expected move tells you the option market is bracing for a large reaction, which also means options are expensive to own.

IV rank adds context the raw move cannot. A 10% expected move on a name whose IV rank is near the top of its yearly range is a different setup from the same move on a name with IV rank near the bottom. The IV vs HV sheet sharpens this further: when implied volatility sits far above what the stock has actually realized, the market is paying up for protection, and option sellers are being compensated more richly.

The calendar matters. Banks lead in mid-July, mega-cap technology concentrates in the last week of the month, and several AI and semiconductor names report in August. The "reporting within thirty days" KPI tile and the days-to-expiration icons keep the workbook focused on the reports that are actually imminent rather than the whole list at once.

None of this is a trade signal. The expected move is a market estimate that is frequently exceeded, and a large implied move can be entirely justified by a large actual move. The value of the dashboard is structure: it puts the same numbers in front of you for every name, every quarter, in the same place.

How to use it as an educational framework

Think of the template as a lens, not a crystal ball. A disciplined way to work through it:

• Start on the Dashboard to see which names report soon and how large the market thinks their moves will be.
• Compare implied to realized on the IV vs HV sheet to judge whether options look rich or cheap into the event.
• Drill into one name on the Straddle / Options sheet to see the actual cost of expressing a view and where the break-evens sit.
• Stress the outcome on the Scenario Analysis sheet to understand the profit and loss profile before risking anything.
• Size it on the Portfolio sheet so any single earnings bet stays inside your risk budget.

That sequence is educational by design. It forces you to look at probability, cost, and risk together rather than reacting to a single headline number. Options carry substantial risk and are not suitable for every investor, and nothing here is a recommendation to buy or sell any security or contract.

Download the premium template

Both files are free to download. The static version is pre-filled with illustrative data and carries a comment on every cell showing the exact MarketXLS formula behind it. The live version contains the formulas themselves and refreshes through the MarketXLS add-in.

Download the templates:

• - Pre-filled sample with a formula comment on every data cell
• - Live-updating dashboard powered by MarketXLS functions

To make the live version calculate, you will need the MarketXLS add-in installed so the volatility and option functions can pull data into Excel.

Frequently asked questions

What is an earnings expected move?

The earnings expected move is the one standard-deviation price change the options market is pricing for a company's earnings report. It is derived from implied volatility or from the at-the-money straddle that expires just after the report. The stock finishes inside the implied range roughly two-thirds of the time and outside it about one-third of the time.

How do you calculate the expected move in Excel?

There are two methods. The straddle method adds the at-the-money call and put premiums and takes roughly 85% of that debit. The implied-volatility method uses the formula Expected Move % = SQRT(MAX(IV30^2 - ExEarnIV30^2, 0)) x SQRT(30/365), which isolates the earnings jump from ordinary volatility. The template runs both so they cross-check each other, pulling the inputs with MarketXLS functions like IMPLIEDVOLATILITY30D and EXEARNINGSIMPLIEDVOLATILITY30D.

What is ex-earnings implied volatility?

Ex-earnings implied volatility is the 30-day implied volatility with the scheduled earnings event removed from the term structure. Subtracting its variance from total implied variance leaves the portion of expected movement attributable to the report itself, which is exactly what an earnings expected move tries to measure.

Is the expected move the same as the straddle price?

They are closely related but not identical. The straddle debit includes some time value beyond the single earnings jump, so the expected move is usually estimated as about 85% of the at-the-money straddle cost. The variance-decomposition method based on the IV term structure is often steadier when the nearest expiry is weeks away from the report.

Which stocks have the largest expected moves into Q2 2026 earnings?

High-beta growth and crypto-linked names typically carry the largest implied earnings moves, while mega-cap stalwarts and large banks tend to price smaller moves. The dashboard ranks twenty large-cap names by expected move so you can see the spread for yourself rather than relying on a single estimate. This is descriptive, not a recommendation.

Does this template update automatically?

Yes. The live version uses MarketXLS functions for prices, implied volatility, option quotes, and earnings dates, so the screener, KPI tiles, and straddle calculations refresh when you open the file with the add-in connected. The static version is a snapshot for reference.

Common mistakes when reading the expected move

A calculator only helps if you read it correctly. A few errors show up again and again, and the template is laid out to steer you away from each one.

Treating the move as a forecast. The expected move is a one standard-deviation band, which means the stock is expected to finish outside it about a third of the time. Building a position that only works if the stock stays inside the range ignores the fat tails that earnings reactions are famous for. The Scenario Analysis sheet deliberately extends to plus and minus twenty percent so the outsized outcomes stay visible.

Ignoring the volatility crush. Implied volatility into a report is inflated precisely because of the event. The morning after, that premium evaporates whether or not the stock moves. A long straddle can be right about direction and still lose if the realized move is smaller than the premium paid. The IV vs HV sheet exists to make this trade-off explicit before you commit.

Using the wrong expiry. The expected move is cleanest when read from the option series that expires just after the report, not a monthly contract weeks away. The Straddle / Options sheet asks you to set the expiry on the Inputs page so the straddle you price is the one that actually captures the event, and the variance-decomposition method on the Dashboard sidesteps the issue entirely by working from the 30-day term structure.

Confusing a big move with a good opportunity. A large expected move tells you options are expensive, not that they are mispriced. Whether that premium is rich or cheap depends on how the stock has historically reacted, which is why the dashboard pairs every implied number with a realized-volatility comparison rather than showing the move in isolation.

Q2 2026 earnings season: why this matters now

The Q2 2026 reporting calendar is unusually front-loaded with names that carry large implied moves. Mega-cap technology and the AI complex have driven a meaningful share of index returns over the past year, so the market is paying close attention to whether capital-spending plans and revenue growth keep pace with expectations. That attention shows up directly in option prices: implied volatility into these reports has been elevated relative to the broad market, and the gap between implied and realized volatility has widened for the names most exposed to the AI narrative.

Banks kick the season off in the second week of July, and their expected moves tend to be more contained, which makes them a useful baseline for the larger swings that follow. As the calendar moves into the final week of July, the concentration of mega-cap reports means several double-digit expected moves can land within a few sessions of each other, which has implications for anyone holding broad index exposure. A dashboard that surfaces all of those dates and moves in one view is far more useful in a clustered season than a series of one-off straddle checks. This is context for understanding option pricing, not a forecast of how any report will turn out.

The bottom line

Earnings expected move calculator Excel is less about a single formula and more about a workflow: read the implied move, compare it to what the stock has actually done, price the straddle, stress the outcome, and size the risk - all in one dashboard that updates itself. Pricing the move the options market expects is one of the highest-leverage things you can do before any earnings report, and doing it in a spreadsheet you control means you are never dependent on someone else's screen.

The template gives you a professional-grade, dashboard-style starting point built entirely on live MarketXLS data. Use it as an educational framework for thinking about volatility into earnings, not as a source of trade signals.

To see how MarketXLS brings real-time prices, implied volatility, full option chains, and earnings data into Excel, explore MarketXLS or book a live demo.