GRNY
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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 (GRNY) Investment Strategy and Portfolio Holdings Overview
GRNY invests in US large-cap securities that meet the funds thematic requirements. The fund takes its name from the basketball term granny shot referring to an older, unconventional free-throw style. The actively managed fund targets stocks based on themes that could significantly impact the US economy and stock market. Themes could be shorter- or longer-term and identified based on the sub-advisers research and analysis of various factors, including market trends. The issuer determines 5 to 10 themes based on their significance to the economy, probability of materializing, cross-impact with other themes, and their feasibility. The sub-adviser uses a top-down fundamental analysis and a quantitative screening process that identifies sectors and companies likely to benefit from these themes. The fund selects 20-50 stocks identified as top performers in two or more themes, which are equally weighted every quarter.
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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