CZAR
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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 (CZAR) Investment Strategy and Portfolio Holdings Overview
CZAR aims to mirror the performance of the Solactive Natural Monopoly Index, which includes global companies perceived to have a strong competitive edge within their sectors. The fund is focused on large- and mid-cap companies that meet certain requirements. This includes being part of a broader Solactive index aimed at Developed Markets, maintaining an average daily value traded, and meeting volume and free-float market capitalization percentage criteria. Stock selection for the fund is then based on fundamental financial metrics such as sales, profit margin, return on equity, inventory/total assets, and intangible assets/total assets. The top five firms within each sector are then chosen for the index. Weighting is designed to be sector-neutral, taking into consideration the free-float market capitalization of the index. Securities are then weighted equally within sectors, ensuring balanced exposure. CZAR is rebalanced seven business days after the semi-annual Selection Days in June and December.
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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