HCMT
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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 (HCMT) Investment Strategy and Portfolio Holdings Overview
HCMT is a fund-of-funds that aims to provide enhanced returns across multiple market cycles by allocating between US equities and cash or cash equivalents. Portfolio allocation is based on a proprietary quantitative model that utilizes the HCM-BuyLine, a tactical indicator that uses technical factors to identify broad trends in the US equity markets. An upward or downward trend is established when the S&P 500 Index closes above (for five consecutive days) or hits a specified threshold below the HCM-BuyLine. During an upward trend, the fund holds stocks, ETFs, and derivatives to achieve daily leveraged exposures of approximately 80% S&P 500, 80% NASDAQ-100, and up to 40% sector allocation. The fund selects only one sector whose market trend is the strongest according to a proprietary relative strength formula. The portfolio may rebalance daily when invested in US equities. During a downward trend, the fund fully invests in cash or cash equivalents in an attempt to preserve capital.
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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