Insider-trading scoring (USA)
Retrieval, cleaning, and quantitative scoring of insider transactions declared in the United States.
- Python
- pandas
- Data pipeline
- Scoring
Context
A project around insider trading transactions declared in the United States: identifying those that stand out from the norm.
Approach
- Retrieval, cleaning, and processing of transaction data.
- Construction of a per-transaction score from quantitative criteria.
- Analysis of the transactions most flagged by the score.