Diamond Hill Investment Group DHIL
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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
Diamond Hill Investment Group (DHIL) Business Model and Operations Summary
Diamond Hill Investment Group Inc sponsors, markets, and provides investment advisory and related services to various U.S. and foreign clients including mutual funds, separate accounts, and private investment funds. The company's objective is to fulfill a fiduciary duty to clients and secondary objectives to achieve an adequate long-term return for shareholders. The company generates its revenue from Investment advisory and fund administration fees.
Key Insights
Diamond Hill Investment Group (DHIL) Core Market Data and Business Metrics
Latest Closing Price
$138.69Market Cap
$389.11 MillionTotal Outstanding Shares
2.73 Million SharesTotal Employees
127IPO Date
June 7, 1996SIC Description
Investment AdvicePrimary Exchange
NASDAQHeadquarters
325 John H Mcconnell Blvd, Columbus, OH, 43215
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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