From Volatility to Opportunity

Tools for options trading around earnings releases

We’ve turned messy earnings volatility into clear, research-backed setups — so you can trade with consistency, not luck.

The earnings cycle

Trade the entire earnings cycle

Most traders focus on the report itself. But the opportunity starts before earnings, extends beyond the release, and each stage has its own behavior you can measure and trade.

Before earnings
IV REPORT

Trade the IV build-up

See when implied volatility usually starts rising — and how today compares with history.

Pre-Earnings IV
Into earnings
IMPLIED ACTUAL MISPRICED

Find mispriced moves

Compare what options are pricing with what the stock has actually moved historically.

Implied vs Realized
Around earnings
NVDA REPORTS AMD AVGO MU

Find sympathy plays

See which related stocks consistently move when another company reports.

Cross-Stock Reactions
After earnings
CONTINUE FADE REVERSE REPORT

Trade what happens next

Find stocks that historically continue, reverse, or drift after earnings.

Post-Earnings Drift
Where the edge comes from

Earnings Aren’t Random — Patterns You Can Measure

Earnings volatility strategies have existed for decades — used by serious and professional traders — but research used to be scattered, data-scarce, and model-stale. We made it simple, intuitive, and modern — so you can apply a repeatable statistical edge week after week.

Repeatability

Recurring events. Deep historical data.

Earnings repeat quarter after quarter across thousands of companies, creating years of comparable data on moves, volatility, pricing and reactions — enough to separate patterns from noise.

Statistics

Think in distributions, not predictions

Average moves are only the start. Median, standard deviation, percentiles, tails and regime filters reveal how outcomes are distributed — and where the unusual ones sit.

MEDIAN P10 P90
Probabilities

Turn distributions into probabilities

Measure how past implied moves compared with what stocks actually did on earnings — then quantify how often outcomes stayed within, or broke beyond, what the market priced.

2 4 6 8 10 4 8 12 ACTUAL MOVE (%) IMPLIED MOVE (%) ACTUAL = IMPLIED EXCEEDED PRICING ↑ MOVED LESS THAN PRICED ↓
Testing

Put the hypothesis under pressure

Backtest structures across past earnings, compare outcomes across different move and volatility regimes, then stress-test the setup before building the trade.

MEDIAN RESULT TESTED ACROSS PAST EARNINGS WIN LOSS
10+ years of earnings data Probability-based research Historical backtesting Defined-risk modeling

What You Can Do with EarningsWatcher

Explore the toolset in action — scan earnings, model trades, and see how each tool fits into your workflow.

Tools

Swipe to explore

Preview

Moves Analyser

Study historical earnings moves and expected vs. realized.

INCLUDEDPrivate community on Discord
INCLUDEDLive support and weekly sessions

What Our Users Say

Built for traders who care about process, data, and community.

New · AI connectors

The power of AI. The depth of EarningsWatcher.

Members can connect Earnings Watcher to their AI tools via MCP — pull live calendar, IV rush, scanner, moves, and more without leaving the chat.

ChatGPT Claude Cursor

Your platform data, in the AI chat you already use.

Sign in once with your Earnings Watcher account. No API keys. Same email and password as the app — then ask questions in plain English.

  • IV rush radar, scanner shortlists, and historical earnings moves
  • Simulator, backtests, watchlist, and paper-trading context
  • Advanced, sophisticated research across your full Earnings Watcher data
  • Works with ChatGPT (including Business), Claude, and Cursor

FAQ

Quick answers to the questions traders ask before they start.

Isn’t trading earnings basically gambling? +
Earnings can appear random when viewed in isolation.
In reality, earnings volatility strategies have been studied and used for decades by professional options traders. A substantial body of literature documents the dynamics of implied volatility around earnings and how those dynamics can be traded (examples here or here).
The issue was never that earnings lacked structure — it was that the research was complex, scattered, and difficult to apply consistently.
EarningsWatcher takes those established volatility concepts and turns them into a clear, repeatable workflow. That allows traders to structure defined-risk trades around probabilities, rather than treating each earnings event as a guess.
Do I need to be an advanced options trader to use EarningsWatcher? +
No. If you already trade earnings, you’ll feel at home. If you’re newer, we guide you with structured lessons, video training, weekly live sessions, and hands-on help in Discord — so you can learn while doing.
Do I need to connect my brokerage account? +
No broker connection is required. EarningsWatcher is a read-only research and education platform. You analyze setups, simulate trades, and build earnings strategies — then place trades directly with your own broker. We also include paper trading so you can practice with live options prices without risking real money.
What markets does EarningsWatcher cover? +
We focus exclusively on U.S. stocks and U.S. listed equity options around earnings announcements. That focus is intentional — it’s where earnings data is deepest and options liquidity matters most.
Does it work for small accounts? +
Yes. Earnings can be traded in many ways, with different risk and capital requirements. EarningsWatcher helps you calibrate structures, sizing, and timing so you can choose setups that fit your account — from defined-risk spreads to lower-cost volatility plays — instead of forcing oversized bets.
What’s included (community + support)? +
You get the platform tools + a private Discord community + live support and weekly events.
Can I cancel, upgrade, or downgrade my subscription at any time? +
Yes, you can manage your subscription in settings. Cancel, upgrade or downgrade anytime.
Have a question? Use the chat bubble at the bottom-right — we’re here to help.