NYMT
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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 (NYMT) Business Model and Operations Summary
New York Mortgage Trust, Inc. acquires, invests in, finances, and manages mortgage-related single-family and multi-family residential assets in the United States. Its targeted investments include residential loans, second mortgages, and business purpose loans; structured multi-family property investments, such as preferred equity in, and mezzanine loans to owners of multi-family properties, as well as joint venture equity investments in multi-family properties; non-agency residential mortgage-backed securities (RMBS); agency RMBS; commercial mortgage-backed securities (CMBS); and other mortgage, residential housing, and credit-related assets. The company qualifies as a real estate investment trust for federal income tax purposes. It generally would not be subject to federal corporate income taxes if it distributes at least 90% of its taxable income to its stockholders. The company was incorporated in 2003 and is headquartered in New York, New York.
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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