Every earnings season, traders and investors are bombarded with revenue figures, EPS results, guidance updates, and dozens of other financial metrics. But which ones actually matter? In this guide, we’ll break down the most important earnings metrics and explain how they influence post-earnings stock movements.
Earnings season can be one of the most volatile times of the year for the stock market.
Every quarter, thousands of companies report financial results and forward guidance, sending some stocks soaring, others crashing, and many barely moving at all.
For newer traders, these reactions can seem completely random.
Take Byrna Technologies (BYRN), for example.
After reporting earnings in July 2026, the company missed EPS expectations by 388.89%, and revenue declined 42.51% compared to the same quarter a year earlier.
The stock dropped 27% after the report, and continued another 14% over throughout the session as both the company’s fundamentals and technical breakdown pointed in the same direction.
BYRN might seem like an obvious example because the company reported disappointing results, but earnings season and stock reactions are’t always that straightforward.
Stocks regularly fall after beating earnings estimates, while others rally despite posting weaker-than-expected quarterly numbers. That’s because professional traders and institutional investors evaluate far more than a company’s headline EPS figure.
In this article, we’ll examine the earnings metrics that matter most during earnings season, review key earnings season statistics, explore what academic research and my personal research says about post-earnings stock performance.
The goal is to help traders and investors better understand which factors are most likely to drive meaningful price moves.
Quick Answer: Which earnings metrics matter most?
Forward guidance is generally the most important earnings metric because stock prices are driven by future expectations rather than past results. While revenue growth and earnings per share (EPS) remain important indicators of a company’s financial performance, professional traders also evaluate profit margins, free cash flow, industry-specific metrics, and—perhaps most importantly—the market’s reaction to the report. For momentum traders, the highest-probability opportunities often occur when earnings, guidance, and technical price action align. The table below ranks the earnings metrics that typically have the greatest influence on post-earnings stock movements.
| Rank | Metric | Importance | Why It Matters |
|---|---|---|---|
| 1 | Forward Guidance | ★★★★★ | Future expectations often drive the largest post-earnings reactions. |
| 2 | Technical Breakout | ★★★★★ | Confirms that the market agrees with the reported fundamentals. |
| 3 | Revenue | ★★★★☆ | Shows whether demand and overall business activity are growing. |
| 4 | EPS | ★★★★☆ | Measures profitability, but can be distorted by buybacks and adjustments. |
| 5 | Profit Margins | ★★★☆☆ | Reveals whether profitability is expanding or contracting. |
| 6 | Free Cash Flow | ★★★☆☆ | Shows how much cash the business generates after operating expenses and investments. |
| 7 | Industry-Specific Metrics | Depends | Metrics such as ARR, comparable sales, loan growth, or cash runway vary by sector. |
Key Earnings Season Statistics
- Approximately 76% of S&P 500 companies have beaten analyst EPS estimates over the past 10 years.
- Roughly 67% of S&P 500 companies have exceeded revenue estimates over the past decade.
- During the early stages of Q1 2026, 88% of companies beat EPS estimates and 84% beat revenue estimates.
- Earnings season typically lasts 4-6 weeks, with the busiest reporting periods beginning in January, April, July, and October.
- Around 5,000+ publicly traded U.S. and Canadian companies report quarterly earnings each season.
- Academic research on Post-Earnings Announcement Drift (PEAD) suggests that significant earnings surprises can influence stock prices for weeks or even months after the initial announcement.
- In my database of post-earnings momentum trades, 66.1% continued moving in the direction of the first hourly earnings candle.
- Stocks moving 5-10% during the first hourly earnings candle produced the strongest continuation rate (88.2%), while 20%+ moves continued only 50.0% of the time.
- Bearish earnings setups showed stronger continuation (71.4%) than bullish setups (63.2%) in my research.
- The average Maximum Favorable Excursion (MFE) across all post-earnings trades was 11.99%, compared with an average Maximum Adverse Excursion (MAE) of 6.12%.
Why Do Stocks Move After Earnings?
Earnings season can produce some of the largest and most unpredictable stock moves of the year. It generally lasts around six weeks, with the busiest periods beginning in January, April, July, and October.
During peak weeks, roughly 100 companies can report in a single day, while earnings databases track results and analyst estimates for more than 5,000 publicly listed companies in the United States and Canada.
However, stocks do not simply rise because earnings were “good” or fall because they were “bad.” Prices react to the difference between what investors expected and what the company delivered.
Traders and investors compare various metrics like EPS, revenue, margins, cash flow, guidance, and management commentary against published estimates, informal “whisper” expectations, and assumptions already reflected in the share price.
The most exciting part, at least in my opinion, is that no two earnings seasons are ever exactly alike.
The percentage of companies beating analyst expectations changes from quarter to quarter, market reactions vary from one stock to the next, and every earnings season creates a new wave of post-earnings trading opportunities for prepared traders.
Over the past 10 years, an average of approximately 76% of S&P 500 companies have beaten consensus EPS estimates.
During the early stages of the first-quarter 2026 reporting season, that figure reached 88%, before settling at approximately 84% after 89% of the index had reported.
Revenue beats also vary: 84% of early Q1 2026 reporters exceeded revenue estimates, compared with a 10-year average of about 67%.
Why Earnings Beats Don’t Guarantee Higher Stock Prices—And Why Misses Don’t Always Lead to Lower Prices
The trading statistics above help explain why an earnings beat alone is rarely enough to predict a stock’s reaction.
When three-quarters or more of large companies routinely beat EPS expectations, simply exceeding consensus estimates isn’t necessarily surprising.
Traders and investors instead tend to focus on the size of the surprise, whether revenue confirms underlying demand, how margins changed, and—perhaps most importantly—whether management raised or lowered its future guidance.
To sum it up, the market is forward-looking. Quarterly results explain what happened during the previous three months, but guidance shapes expectations for the months and years ahead.
Therefore, a company can report record revenue, record EPS, and record profits yet the stock can decline if management forecasts slower growth, weaker margins, or softer demand.
Conversely, a company can miss current estimates and still rally if investors believe the weakness is temporary and management provides an unexpectedly strong outlook.
Consensus estimates, analyst forecasts and expectations already priced into the stock.
Reported EPS, revenue, margins, cash flow and industry-specific metrics.
Management’s outlook for future revenue, earnings, margins and demand.
Conference-call details, risks, opportunities and changes in business conditions.
Investors decide whether the new information is better or worse than expected.
The stock rises, falls or remains relatively unchanged as the market reprices it.
Ultimately, an earnings report begins the price discovery process, but the market’s reaction determines how that information is valued. For momentum traders, this is why fundamental results should always be evaluated alongside price action.
Strong guidance may appear bullish on paper, but a breakout supported by heavy volume provides stronger evidence that institutional investors agree with that interpretation.
AeroVironment (AVAV) is a good example of why earnings reactions can be complex.
Although the company lowered its full-year guidance, it also reported strong quarterly revenue and EPS, sending the stock up approximately 18.5% during the first hourly earnings candle before extending its rally to roughly 35% intraday.
The conflicting signals illustrate why a single earnings metric like guidance, while extremely important, isn’t always enough to predict a stock’s immediate reaction.
The 3 Earnings Metrics That Matter Most
Although it is called earnings season, not every earnings metric reported carries the same weight.
While financial news headlines often focus on whether a company beat or missed EPS estimates, professional traders and institutional investors typically evaluate a much broader set of information before making investment decisions.
The following earnings metrics are among the most important indicators to watch, as they help explain why some stocks continue trending after earnings while others quickly reverse course.
#1 – Forward Guidance ⭐⭐⭐⭐⭐
Forward guidance is often the most important metric investors evaluate during earnings season because it shapes expectations for future performance rather than summarizing the past quarter.
Guidance varies from one company to the next, but typically includes projected revenue, EPS, profit margins, and management’s outlook for demand and future growth.
Since the stock market is forward-looking, changes to guidance frequently have a greater impact on share prices than quarterly EPS or revenue results alone.
However, guidance should never be viewed in isolation.
Forward guidance is often the most important earnings metric, but the best post-earnings momentum setups occur when earnings results, technical price action, and forward guidance all align in the same direction.
This can lead to bullish (good earnings + raised guidance + upside price action) or bearish (bad earnings + lowered guidance + downside price action). Either way, when guidance aligns with price action, the probability of sustained momentum often improves.
As a bullish example, WD-40 (WDFC) beat analyst expectations, raised its outlook, and broke above key technical resistance levels, leading to a +22% intraday rally, which is exactly the type of setup momentum traders often look for after earnings.
And, as a bearish example, Byrna Technologies Inc (BYRN) reported a 388.89% EPS miss, a 42.51% year-over-year revenue decline, and lowered forward guidance, which triggered a 27.5% collapse during the first hourly earnings candle.
#2 – Revenue & Growth ⭐⭐⭐⭐☆
Revenue growth is another very strong indicator of a company’s underlying business strength because it measures how much money a business is actually generating from customers.
Unlike EPS, which can sometimes be influenced by accounting adjustments, revenue is much harder to manipulate and often provides a more reliable picture of customer demand.
This is why, during earnings season, traders and investors pay close attention to both year-over-year revenue growth and revenue surprises.
In recent years, roughly 60-70% of S&P 500 companies have exceeded analyst revenue estimates, but the size of the beat often matters more than simply beating expectations.
Strong revenue growth suggests demand is accelerating, while slowing sales can raise concerns about future earnings, even if EPS beats estimates.
Going back to our WD-40 (WDFC) exmaple, the company reported $195.12 million in revenue, comfortably beating analyst expectations of $190.24 million, while also reporting stronger-than-expected EPS and raising its full-year guidance.
Essentially, the company reported more revenue than expected, and announced suggested revenue will grow even more next quarter, helping to explain why the stock rallied +9.9% after moving an initial 13.75% on the hourly earnings announcement candle.
Traders and investors often place more importance on revenue because growing sales provide the foundation for future earnings growth.
While companies can improve EPS through cost-cutting or share buybacks, consistently increasing revenue typically reflects genuine demand for the company’s products or services.
When searching for high-probability post-earnings setups, once again, it’s important to look for confluence across multiple earnings metrics.
For example, when strong revenue growth aligns with bullish guidance and technical price action, it can create some of the strongest initial moves and sustained momentum.
#3 – Earnings Per Share (EPS) ⭐⭐⭐⭐☆
Earnings per share (EPS) measures how much profit a company generates for each outstanding share of stock, making it one of the most closely watched earnings metrics during earnings season.
However, roughly 70-75% of S&P 500 companies beat analyst EPS estimates each quarter, which is one reason an EPS beat alone doesn’t guarantee a higher stock price.
It’s also important to understand that not all EPS figures are the same.
GAAP EPS follows standardized accounting rules, while non-GAAP (adjusted) EPS excludes certain one-time items that management believes don’t reflect the company’s core operations.
Although Wall Street often focuses on adjusted EPS, traders and investors may compare multiple earnings metrics when evaluating a company’s results.
Penguin Solutions (PENG) provides a good example.
Although its reported GAAP EPS came in slightly below the consensus estimate, the company exceeded the Earnings Whisper estimate, non-GAAP diluted EPS increased 79% year over year, and GAAP EPS improved from a loss of $0.01 to a profit of $0.68.
The market ultimately responded positively, sending the stock approximately 18% higher after earnings as the company’s overall financial picture pointed toward improving profitability.
That said, like all earnings metrics, EPS should never be viewed in isolation.
EPS is just a single data point and should always be viewed alongside buybacks, revenue growth, forward guidance, and technical price action which provide additional context to explain how the market interprets an earnings report.
Other Important Metrics To Watch During Earnings Season
Although guidance, revenue, and EPS typically receive the most attention, they’re far from the only metrics investors evaluate.
Depending on the company and industry, profitability, cash generation, technical price action, and sector-specific KPIs can also play a role in determining how a stock reacts after earnings.
Profit Margins ⭐⭐⭐☆☆
Profit margins measure how efficiently a company converts revenue into profit and can provide valuable insight into the quality of an earnings report.
Traders and investors typically monitor gross margin, operating margin, and net margin, each reflecting profitability at different stages of the business.
Improving margins often suggest a company is becoming more efficient, gaining pricing power, or reducing costs, while declining or contracting margins can indicate rising expenses or weakening demand.
For many traders, the direction of margins matters more than the absolute percentage.
A company that expands its operating margin from 12% to 16% over several consecutive quarters may be viewed more favorably than one that maintains a steady 25% margin. The improving profitability suggests the business is becoming stronger over time.
Although profit margins rarely move a stock on their own, expanding margins can reinforce strong revenue growth and bullish guidance, increasing investor confidence during earnings season.
Free Cash Flow ⭐⭐⭐☆☆
Free cash flow (FCF) measures how much cash a company generates after paying its operating expenses and capital expenditures.
In other words:
- Free cash flow = operating cash flow − capital expenditures
Unlike EPS, free cash flow reflects the actual cash available to reinvest in the business, reduce debt, repurchase shares, or return to shareholders through dividends.
Companies such as Apple, Microsoft, Alphabet, Berkshire Hathaway, Meta, and even Tesla are well known for generating tens of billions of dollars in annual free cash flow, helping support their long-term financial strength.
2025 Free Cash Flow by Company
Approximate figures based on operating cash flow minus capital expenditures.
| Company | Operating Cash Flow | Capital Expenditures | Approx. Free Cash Flow |
|---|---|---|---|
| Apple AAPL | $111.5B | $12.7B | $98.8B |
| Microsoft MSFT | $136.2B | $64.6B | $71.6B |
| Alphabet GOOGL | $164.7B | $91.4B | $73.3B |
| Berkshire Hathaway BRK.B | $46.0B | $20.9B | $25.0B |
| Meta Platforms META | $115.8B | $69.7B | $46.1B |
| Tesla TSLA | $14.7B | $8.5B | $6.2B |
While long-term investors often prioritize free cash flow because it reflects the health and sustainability of a business, short-term momentum traders typically place greater emphasis on revenue, EPS, forward guidance, and technical price action.
Strong free cash flow can reinforce a bullish investment thesis, but it rarely drives immediate post-earnings price movements on its own.
Technical Breakouts ⭐⭐⭐⭐⭐
Although technical price action isn’t technically an earnings metric, I believe it’s one of the most important factors momentum traders should evaluate after an earnings report.
Why?
While an earnings report tells you what the company reported, price action tells you what the market actually thinks about it.
After reviewing dozens of post-earnings momentum trade setups, one of the strongest observations I’ve made is that the percentage change during the first hourly earnings candle appears to be one of the most useful indicators for estimating the probability of momentum continuation.
Whether a stock’s price moves up or down, here’s a quick look at the framework I use to analyze the hourly price action:
What High-Probability Post-Earnings Setups Look Like
The strongest momentum opportunities often appear when fundamentals, guidance, technical price action, and volume all point in the same direction.
High-Probability Long Setup
EPS and revenue meet or exceed expectations.
Sales results confirm healthy customer demand.
Management improves its outlook for future performance.
The initial earnings candle closes above key resistance.
Higher-timeframe resistance also fails.
Elevated volume confirms institutional participation.
High-Probability Short Setup
EPS or revenue falls short of expectations.
Sales weakness confirms deteriorating demand.
Management reduces expectations for future performance.
The initial earnings candle closes below key support.
Higher-timeframe support also fails.
Elevated volume confirms institutional distribution.
My research has repeatedly shown that large earnings moves accompanied by strong technical confirmation often produce some of the highest-quality momentum setups.
Several of my recent case studies illustrate this principle.
Smith & Wesson Brands (SWBI) gained approximately 14% during its first hourly earnings candle after reporting quarterly results, breaking above resistance on the hourly, 4-hour, daily, and weekly charts simultaneously.
Even traders who entered near the close of that first hourly candle still had an opportunity to capture a 12.3% maximum favorable excursion, while an EMA pullback entry increased the potential gain to roughly 16%.
On the bearish side, Comtech Telecommunications (CMTL) traded higher in the pre-market before completely reversing course.
The stock closed its first hourly candle approximately -22% lower, broke major support around $4.00, and ultimately declined as much as 57% from its previous closing price.
Even after the first hourly candle closed, there was still more than 30% additional downside, demonstrating how technical breakdowns can reinforce weak fundamentals.
For me, this is where fundamental analysis and technical analysis intersect.
Strong earnings results are important, but they become much more actionable when institutions confirm those fundamentals through aggressive buying or selling.
That’s why my post-earnings momentum strategy doesn’t rely on earnings metrics alone—it looks for alignment between the earnings report and the market’s reaction.
Industry-Specific Metrics
While forward guidance, revenue, and EPS are among the most important metrics to evaluate during earnings season, many industries also report specialized key performance indicators (KPIs) that provide deeper insight into a company’s health.
These metrics often vary by sector and can sometimes have an even greater impact on a stock’s price than traditional financial measures.
Understanding which KPIs matter most for a particular industry can help traders better interpret earnings reports and identify stronger post-earnings momentum opportunities.
Software & SaaS
When it comes to tech companies, software provides or SaaS companies, traders and investors often focus on recurring revenue and customer retention rather than quarterly profits alone.
- Annual Recurring Revenue (ARR): Measures predictable subscription revenue generated over a year.
- Net Revenue Retention (NRR): Shows how much existing customers are spending compared to the previous year.
- Customer Growth: Tracks the rate at which new customers are being acquired.
Retail & Consumer
Retailers and consumer discretionary stocks are heavily influenced by consumer spending trends and inventory management.
- Comparable (Same-Store) Sales: Measures sales growth at existing store locations.
- Inventory Levels: Helps determine whether products are selling efficiently or accumulating unsold stock.
Banks & Financials
Traditional earnings metrics are important, but banking stocks are often driven by lending activity and interest income.
- Net Interest Income (NII): Revenue generated from loans after paying interest on deposits.
- Loan Growth: Indicates whether the bank is expanding its lending business.
- Deposits: Measures customer confidence and provides funding for future lending.
Biotech & Pharmaceutical
Many biotech and healthcare companies generate little or no revenue, making operational milestones more important than earnings.
- Cash Runway: Estimates how long the company can fund operations before raising additional capital.
- Clinical Trial Results: Positive or negative trial data can dramatically impact valuation.
- FDA Milestones: Regulatory approvals, rejections, or delays frequently drive significant price movements.
Other Industry Examples
Many sectors have their own unique performance metrics that investors closely monitor during earnings season.
- Semiconductors: AI revenue, data center sales, automotive revenue, gross margin.
- Airlines: Revenue per available seat mile (RASM), passenger load factor, fuel costs.
- Energy Companies: Oil and gas production, realized commodity prices, reserve replacement.
- REITs: Funds From Operations (FFO), occupancy rates, same-property net operating income.
- Automotive: Vehicle deliveries, production volumes, average selling price (ASP).
Although these industry-specific metrics can significantly influence a company’s post-earnings reaction, they are generally best interpreted alongside the fundamentals discussed earlier.
Either way, remember that the strongest earnings setups often occur when sector-specific KPIs reinforce strong revenue growth, healthy profitability, bullish guidance, and confirming technical price action.
What The Research Says About Earnings Season
Decades of academic research have shown that stock prices are influenced by much more than whether a company simply beats or misses earnings estimates.
Studies on Post-Earnings Announcement Drift (PEAD) suggest that stocks often continue moving in the direction of a significant earnings surprise, and that forward-looking information often has a greater impact on stock prices than historical earnings alone.
My own post-earnings momentum research has produced several similar observations after reviewing more dozens of earnings setups:
- 66.1% of the 59 post-earnings setups in my database continued moving in the direction of the first hourly earnings candle.
- Stocks moving 5-10% during the first hourly earnings candle produced the strongest results, with an 88.2% continuation rate, 94.1% next-day directional close rate, and an average 2.72% MAE.
- Stocks moving 20% or more during the first hour continued only 50.0% of the time and experienced a much larger average 10.66% MAE, making them significantly more difficult to trade.
- Bearish earnings setups outperformed bullish setups, with 71.4% continuing in the earnings direction and 76.2% closing the following day lower, compared with 63.2% and 60.5% for longs.
- Setups that broke key daily support or resistance continued in the earnings direction 70.0% of the time, outperforming hourly breakout setups (62.8%).
- Across all recorded post-earnings trade setups, the average Maximum Favorable Excursion (MFE) was 11.99%, nearly double the average Maximum Adverse Excursion (MAE) of 6.12%, suggesting favorable reward-to-risk characteristics.
- While EPS beats alone rarely explained a stock’s post-earnings move, the strongest continuation setups generally occurred when earnings, forward guidance, and technical price action all aligned in the same direction.
Together, both the academic literature and my own observations suggest that the best post-earnings opportunities rarely depend on a single metric. Instead, they tend to occur when fundamentals, bullish or bearish guidance, and confirming technical price action all point in the same direction.
Research disclaimer: These observations are based on my current database of post-earnings momentum trades and should be viewed as observational rather than statistically conclusive. As the dataset grows, these relationships can be tested more rigorously.
Final Thoughts – Earnings Seasons Metrics
No single earnings metric consistently predicts how a stock will react after reporting quarterly results.
While forward guidance, revenue growth, and EPS are among the most important factors to evaluate, the best post-earnings opportunities typically occur when multiple signals align.
Strong fundamentals, bullish or bearish guidance, institutional buying or selling, elevated volume, and confirming technical breakouts all help reinforce the market’s conviction.
Throughout my research, one lesson has become increasingly clear: the market rewards alignment, not individual metrics.
By evaluating earnings reports through both a fundamental and technical lens, traders can better identify high-probability momentum setups while avoiding many of the false signals that come from focusing on a earnings metric.
If you want to go deeper:
- Explore the Trading Statistics Hub to understand how different sectors behave across market cycles
- Study real setups inside the Trade Reviews section
- Learn the framework behind high-probability setups in the Post-Earnings Momentum Strategy
This is how you turn raw market data into repeatable trading edge.
More Trading Statistics…
Frequently Asked Questions
Is EPS More Important Than Revenue?
Neither metric is universally more important. EPS measures profitability on a per-share basis, while revenue reflects the amount of money a company generates from customers. Many traders evaluate both together, as strong revenue growth often provides the foundation for future earnings growth.
Why Do Stocks Fall After Beating Earnings?
Stocks can decline after beating earnings if investors expected even better results or if management issued weaker-than-expected forward guidance. Because the market is forward-looking, future expectations often have a greater impact on stock prices than historical financial results.
What Is Forward Guidance?
Forward guidance is management’s forecast for future business performance. It often includes expected revenue, EPS, margins, customer demand, and other financial targets. Investors closely monitor guidance because it helps shape expectations for future growth.
Do Traders Care More About EPS or Guidance?
In many cases, professional traders pay more attention to forward guidance than quarterly EPS. While an earnings beat is important, changes to future expectations frequently have a larger impact on a stock’s post-earnings reaction.
What Financial Metrics Should Momentum Traders Watch?
Momentum traders typically prioritize forward guidance, revenue growth, EPS, and technical price action. The strongest post-earnings setups often occur when these factors all point in the same direction and are confirmed by strong volume and multi-timeframe breakouts.
Which Earnings Metric Is Most Predictive of Future Stock Performance?
There is no single metric that consistently predicts future stock performance. However, academic research suggests that forward-looking information—such as guidance and analyst estimate revisions—often explains stock performance better than historical earnings results alone.
What Is the Difference Between GAAP and Adjusted EPS?
GAAP EPS follows standardized accounting rules and includes all required expenses and gains. Adjusted (non-GAAP) EPS removes certain one-time or non-recurring items to better reflect a company’s core operating performance. Most Wall Street analysts compare earnings against adjusted EPS estimates.
Can a Stock Rise After Missing Earnings?
Yes. A stock can rise after missing earnings if investors were expecting an even worse result or if management provides strong forward guidance. The market reacts to whether results are better or worse than expectations—not simply whether a company beat or missed consensus estimates.
What Is Post-Earnings Announcement Drift (PEAD)?
Post-Earnings Announcement Drift (PEAD) is the tendency for a stock to continue moving in the direction of an earnings surprise after the initial announcement. Researchers have documented this phenomenon for decades, and it remains one of the best-known anomalies in financial markets.
Should Momentum Traders Read Earnings Conference Call Transcripts?
Yes. Conference call transcripts often contain valuable information that isn’t obvious from the earnings press release alone. Management commentary about future demand, pricing, margins, customer trends, and business risks can provide important context and help explain why a stock is moving after earnings.
References
Ball, R., & Brown, P. (1968). An empirical evaluation of accounting income numbers. Journal of Accounting Research, 6(2), 159–178. https://doi.org/10.2307/2490232
Bernard, V. L., & Thomas, J. K. (1989). Post-earnings-announcement drift: Delayed price response or risk premium? Journal of Accounting Research, 27, 1–36. https://doi.org/10.2307/2491062
FactSet. (2026). Earnings Insight. https://insight.factset.com
Fama, E. F. (1970). Efficient capital markets: A review of theory and empirical work. The Journal of Finance, 25(2), 383–417. https://doi.org/10.1111/j.1540-6261.1970.tb00518.x
Livnat, J., & Mendenhall, R. R. (2006). Comparing the post–earnings announcement drift for surprises calculated from analyst and time series forecasts. Journal of Accounting Research, 44(1), 177–205. https://doi.org/10.1111/j.1475-679X.2006.00194.x
NASDAQ. (2026). How to read an earnings report. https://www.nasdaq.com
U.S. Securities and Exchange Commission. (n.d.). EDGAR company filings. https://www.sec.gov/edgar/search/
The Paper Trading Journal. (2026). BYRN case study: How a 27.5% earnings drop became an A+ short setup. https://papertradingjournal.com/
The Paper Trading Journal. (2026). PENG case study: How Penguin Solutions turned a 7.5% earnings move into an 18.81% momentum trade. https://papertradingjournal.com/
The Paper Trading Journal. (2026). WDFC case study: Why even the best setups need an exit strategy. https://papertradingjournal.com/
The Paper Trading Journal. (2026). What 50+ post-earnings momentum trade setups taught me about trading. https://papertradingjournal.com/
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