Earnings Calendar
Earnings Calendar
Earnings Calendar
The Earnings Calendar dataset provides intelligent predictions of future earnings announcement dates for publicly traded companies. Using advanced pattern recognition algorithms, the system analyzes historical SEC 8-K filing data to identify recurring patterns in earnings timing and predict future announcement dates with confidence scores.
Prediction Methodology:
- Analyzes intervals between historical earnings dates
- Calculates confidence based on pattern consistency
- Projects future dates using statistical averages and seasonal preferences
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Use Cases
- Investment Management: Portfolio planning, risk management, and timing optimization around earnings announcements
- Trading & Market Making: Volatility trading, options strategies, and liquidity management during earnings periods
- Research & Analysis: Earnings season mapping, pattern research, and historical analysis for market insights
- Risk Management: Market, liquidity, and volatility risk assessment using earnings calendar data
Highlights
- Pattern Recognition: Analyzes historical filing dates to identify statistical patterns and predict future filing timing based on date intervals and frequency
- Confidence Scoring: Each prediction includes a confidence score based on pattern consistency and standard deviation
- Historical Context: Provides previous earnings dates and filing history for validation
- Real-time Updates: Daily pipeline updates predictions based on new SEC filings
- Comprehensive Coverage: Covers thousands of publicly traded companies
Provider
Methods
https://api.blueskyapi.com/v1/data/CORE/EARNINGS_CALENDARhttps://api.blueskyapi.com/v1/data/CORE/EARNINGS_CALENDAR/:symbol
You can fetch up to 2000 symbols at a time using a comma-separated list.
EX: AAPL,MSFT,TSLA
Time Series Query Parameters
You can use any time series query parameters with this dataset.
View the full documentation →
Response Attributes
| Key | Type | Description |
|---|---|---|
| confidence | number, null | |
earningsDate* date | string | |
| filingDate | string, null | |
| marketSession | string, null | |
| predictionSources | array, null | |
| status | string, null | |
symbol* key | string |
* required
Attribution
If you are using viaNexus Platform Data in your site or application, you must display “Data provided by viaNexus a product of Blue-Sky Nexus ” (linked to https://viaNexus.com/) somewhere on that site or application. Please see Attribution for details.