UNP
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Relative Strength Index (RSI)
- The Relative Strength Index (RSI) is a momentum oscillator that measures the speed and change of price movements. It is typically used to identify overbought or oversold conditions in financial markets.
- The RSI is calculated using the following formula:
RSI = 100 - (100 / (1 + RS))
Where RS is the ratio of the average gains to the average losses over a specified period.
- The default time period used is 14 days.
- RSI values range between 0 and 100.
RSI values above 70 are considered overbought (indicating a potentially opportune time to sell)
RSI values below 30 are considered oversold (indicating a potentially opportune time to buy)
RSI is not a perfect indicator and should be used in conjunction with other technical analysis tools, this is for informational purposes only and is not a substitute for professional financial advice.
About
undefined (UNP) Business Model and Operations Summary
Union Pacific Corporation, through its subsidiary, Union Pacific Railroad Company, operates in the railroad business in the United States. The company offers transportation services for grain and grain products, fertilizers, food and refrigerated products, and coal and renewables to grain processors, animal feeders, ethanol producers, and other agricultural users; petroleum, and liquid petroleum gases; and construction products, industrial chemicals, plastics, forest products, specialized products, metals and ores, soda ash, and sand, as well as finished automobiles, automotive parts, and merchandise in intermodal containers. As of December 31, 2021, its rail network included 32,452 route miles connecting Pacific Coast and Gulf Coast ports with the Midwest and Eastern United States gateways. The company was founded in 1862 and is headquartered in Omaha, Nebraska.
Earnings Reports
Expected vs. Actual Quarterly Earnings-Per-Share & Revenue
Short Volume
Daily short volume activity identifies short-term trading pressure and potential price volatility
Revenue Breakdown
Distribution of revenue across unique business segments & geographies
Historical Stock Splits
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