Earnings & Events

Eight years of earnings moves per ticker. Expected vs realised, pre-event IV ramp, post-event IV crush curve, straddle P&L history and seasonality patterns.

8 Years History
IV Crush Analysis
Seasonality

What is Earnings & Events?

Earnings & Events Earnings & Events analyses historical earnings moves, IV crush patterns, seasonal tendencies and post-earnings drift to help traders price event risk and identify straddle edge.

Why This Matters for Your Trading

How professional options traders use Earnings & Events to find edge.

Price Earnings Straddles Accurately

Compare the implied move (straddle cost) to the average actual move over 8 years. If the market implies 5% but the stock historically moves 3%, the straddle is overpriced — sell it.

Predict IV Crush Magnitude

The IV crush curve is modelled per ticker. Know how much IV typically drops after earnings so you can size your vega exposure accordingly.

Exploit Seasonal Patterns

Some stocks consistently move more in Q4 earnings than Q2. The seasonality heatmap reveals these patterns for quarterly timing of event trades.

See It in Action

Earnings move history chart

Historical earnings moves with expected vs actual comparison per quarter

IV crush visualization

IV crush curve showing pre and post-earnings volatility collapse

Key Features

Historical Moves

8 years of earnings moves with beat/miss categorisation

Expected vs Actual

How accurately does the market price earnings moves

IV Crush Curve

Modelled per-ticker post-earnings IV collapse

Seasonality

Quarterly and monthly move patterns

How It Works

1

Select ticker

Enter any US stock or ETF

2

Review data

Analyse the key metrics and charts

3

Identify signal

Find the actionable insight

4

Execute

Use the signal to inform your trade

Use Cases

Straddle Selling

When the implied move consistently exceeds the actual move, sell the earnings straddle for a statistical edge.

Post-Earnings Drift

Use drift analysis to hold directional positions through earnings when historical data shows continuation.

Frequently Asked Questions

How far back does the data go?

Up to 8 years of quarterly earnings data per ticker, including EPS estimates, actual results, stock moves, IV levels before and after, and straddle P&L.

What is post-earnings drift?

The tendency for stocks to continue moving in the same direction for days or weeks after an earnings surprise. The drift tab quantifies this with win rates and average drift magnitude.

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