Semantic analysis of company earnings calls to predict stock price movements has long been a widely researched area in the world of alternative data. We explore whether textual analysis of earnings calls can help identify insights into broader economic trends in a volatile market. 

This report outlines datasets that can be used to track global conflicts and considers their impact on financial markets. For example, the worsening conflict in the Democratic Republic of Congo will likely impact global manufacturing due to its importance in global cobalt and copper production. We look at vendors across different data types, including satellite, geopolitical risk, news/event, shipping and trade.

We propose the transaction data panels best suited to tracking the US grocery sector.

This report summarises potential correlations between alternative datasets and Bitcoin prices, including insights from Wikipedia search trends and dark pool activities.