Using Benzinga’s Python SDK, we fetched detailed earnings data and performed further analysis, including calculating revenue growth, visualizing EPS surprises, and computing average EPS and revenue.

For data analysis, the cornerstone package in Python is “Pandas”. It allows you to work with data in the same table format as R and makes it easy to tackle missing data, form new columns and ...

Although the future is uncertain, investors can use strategies and tools to predict market trends. Analyzing historical data, economic indicators, and using technologies like artificial ...

Gordon Scott has been an active investor and technical analyst or 20+ years. He is a Chartered Market Technician (CMT). Alistair Berg / Getty Images A triangle chart pattern is a tool used in ...

Historical observations are aggregated and then analyzed to identify salient trends. And that's the real problem with how we use data. History can be a trap.

Technical analysis can be applied to any security with historical trading data. This includes stocks, futures , commodities , fixed-income securities, currencies, and more.