Caterpillar CAT
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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
Caterpillar (CAT) Business Model and Operations Summary
Caterpillar Inc. manufactures and sells construction and mining equipment, diesel and natural gas engines, and industrial gas turbines worldwide. Its Construction Industries segment offers asphalt pavers, backhoe loaders, compactors, cold planers, compact track and multi-terrain loaders, excavators, motorgraders, pipelayers, road reclaimers, site prep tractors, skid steer loaders, telehandlers, and utility vehicles; mini, small, medium, and large excavators; compact, small, and medium wheel loaders; track-type tractors and loaders; and wheel excavators. The Resource Industries segment provides electric rope shovels, draglines, hydraulic shovels, rotary drills, hard rock vehicles, track-type tractors, mining trucks, longwall miners, wheel loaders, off-highway trucks, articulated trucks, wheel tractor scrapers, wheel dozers, fleet management, landfill compactors, soil compactors, machinery components, autonomous ready vehicles and solutions, select work tools, and safety services and mining performance solutions. The Energy & Transportation segment offers reciprocating engines, generator sets, integrated systems and solutions, turbines and turbine-related services, remanufactured reciprocating engines and components, centrifugal gas compressors, diesel-electric locomotives and components, and other rail-related products and services for marine, oil and gas, industrial, and electric power generation sectors. The company's Financial Products segment provides operating and finance leases, installment sale contracts, working capital loans, and wholesale financing plans; and insurance and risk management products for vehicles, power generation facilities, and marine vessels. The All Other operating segment manufactures filters and fluids, undercarriage, ground engaging tools, etc. The company was formerly known as Caterpillar Tractor Co. and changed its name to Caterpillar Inc. in 1986. The company was founded in 1925 and is headquartered in Deerfield, Illinois.
Key Insights
Caterpillar (CAT) Core Market Data and Business Metrics
Latest Closing Price
$384.71Market Cap
$172.24 BillionAverage Daily Volume
2,793,701 Shares52-Week Range
$267.3-$418.5CEO
Mr. Joseph E. Creed CPATotal Employees
120,286IPO Date
December 2, 1929SIC Description
Construction Machinery & EquipPrimary Exchange
New York Stock ExchangeHeadquarters
5205 N. O'connor Boulevard, Irving, TX, 75039
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
Short Interest
Short Interest
This information represents bi-monthly aggregated short interest data reported to the Financial Industry Regulatory Authority (FINRA) by broker-dealers.
Settlement Date: The date on which the short interest data is considered settled, typically based on exchange reporting schedules.
Short Interest: The total number of shares that have been sold short but have not yet been covered or closed out.
Avg Daily Volume: The average daily trading volume for the stock over the specified period, typically used to contextualize short interest.
Days To Cover: The estimated number of days it would take to cover all short positions based on average trading volume.
Bi-monthly short interest levels can be used to gauge bearish market sentiment and short squeeze potential
Revenue Breakdown
Distribution of revenue across unique business segments & geographies
Historical Stock Splits
Execution Date | Split Amount |
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