LITP
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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 (LITP) Investment Strategy and Portfolio Holdings Overview
LITP provides pure-play exposure to the global lithium industry in support of achieving a less carbon-intensive economy. The fund gives access to a portfolio of 40-50 US and foreign companies involved with or derive half of their revenue from the mining, exploration, development, or production of lithium. The investable universe is identified through a proprietary selection methodology which includes industry publication reviews and fundamental research. All eligible securities are then included as constituents provided that the minimum market-cap and liquidity requirements are met. An intensity score is also assigned to each company depending on their revenue percentage attributable to lithium. While the index is market cap-weighted, several capping rules are implemented based on the securities initial weights to ensure a diversified portfolio. Index reconstitution and rebalancing is done on a semi-annual basis 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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