---
language:
- en
license: other
extra_gated_prompt: "To get access to this dataset, you must subscribe to Papers With Backtest. To subscribe, go to https://paperswithbacktest.com/ > Login > Choose Your Plan > Subscribe."
dataset_info:
  features:
  - name: symbol
    dtype: string
  - name: datetime
    dtype: string
  - name: surprise_probability
    dtype: float64
  - name: eps_surprise
    dtype: float64
  - name: actual_earning_result
    dtype: float64
  - name: estimated_earning
    dtype: float64
  - name: date_pub
    dtype: string
  - name: market_cap
    dtype: float64

---
# Dataset Information

Weekly **Earnings Surprise** metrics for publicly traded companies, provided by **SOV.AI**.  
Each row represents a ticker's earnings report snapshot with probabilities and magnitudes of EPS surprises.

- **Coverage**: ~4,330+ tickers, history back to **2016-12-30**
- **Update cadence**: Weekly (data typically lands late **Friday 23:00–00:00** local time to the provider)
- **Fields**:
  - `surprise_probability`: Probability of an earnings surprise occurring
  - `eps_surprise`: EPS surprise value (actual minus estimate)
  - `actual_earning_result`: Actual reported EPS
  - `estimated_earning`: Analyst consensus EPS estimate
  - `date_pub`: Publication datetime of the earnings report
  - `market_cap`: Market capitalization (USD)

## Data Source
Data provided by SOV.AI.