Pre-Earnings Trade Research Workflow

Earnings season is one of the most consistent opportunities in trading — and one of the highest-risk periods for the unprepared. The companies that beat expectations often gap up significantly; those that miss can crater overnight.

This tutorial teaches you how to build a complete pre-earnings research thesis using Diplyzer in five systematic steps.

Why Earnings Research Matters

The market does not just react to whether a company beats or misses earnings. It reacts to how far the result deviates from what was already priced in — the "expectation gap."

A company that beats EPS by 2% when the market expected a 10% beat may still sell off. A company that "misses" but provides strong forward guidance may rally. Understanding what is priced in before the number drops is the entire game.

Step 1: Establish the Earnings History

Before anything else, understand the pattern:

Look for:

• Consistent beats: Company that has beaten EPS for 6+ consecutive quarters sets a high bar for market expectations
• History of "sell the news": Some companies consistently beat estimates but fall because expectations are already priced in at peak optimism
• History of post-earnings volatility: High average post-earnings moves suggest options pricing will be expensive; lower moves suggest cheaper options

Step 2: Understand Current Market Expectations

Importantly, estimates that have been rising into the print suggest momentum — but also higher expectations to clear. Estimates that have been falling (lowered expectations) create a lower bar that is easier to beat.

Also ask:

The implied earnings move (calculated from at-the-money options) tells you what the market is pricing in for volatility. If the historical average move is 5% and the options market is pricing 3%, options are cheap relative to history.

Step 3: Read the Technical Chart

Regardless of fundamentals, the technical setup going into earnings matters:

Technically strong into earnings (near highs, RSI 50-65, in uptrend): Market participants are positioned bullishly. A beat may be well-received; a miss could trigger sharp selling.

Technically weak into earnings (near lows, RSI below 40, in downtrend): Pessimism is priced in. A miss may be "already expected" and result in minimal selling; a surprise beat could trigger a sharp recovery.

Step 4: Assess Fundamental Momentum

Also check:

Reading earnings call transcripts reveals what management is actually communicating vs. what the headlines say.

Step 5: Check Insider Activity Before the Print

Insiders cannot trade during "blackout periods" before earnings releases (typically 30 days prior). But in the months before the blackout, their activity is revealing:

Heavy insider buying in the 2-3 months before an earnings report can signal confidence in the upcoming result. Heavy selling in the months prior can be a warning.

The Pre-Earnings Dossier: Single Prompt Version

Analytical Approaches to Earnings Events

Common quantitative frameworks for analyzing earnings announcements include:

Pre-Earnings Expectation Analysis: Evaluating whether consensus estimate revisions and historical beat rates are already reflected in pre-announcement price momentum.

Post-Earnings Reaction Analysis: Analyzing the variance between reported earnings, revenue, and forward guidance against the market's initial price reaction and trading volume.

Volatility & Implied Move Evaluation: Quantifying options-implied volatility against trailing historical post-earnings moves to assess whether market pricing aligns with typical volatility regimes.