Kazia Therapeutics KZIA
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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
Kazia Therapeutics (KZIA) Business Model and Operations Summary
Kazia Therapeutics Limited, an oncology-focused biotechnology company, develops anti-cancer drugs. Its lead development candidate is Paxalisib, a small molecule, brain-penetrant inhibitor of the PI3K/Akt/mTor pathway, which is developed as a potential therapy for glioblastoma. It is also developing EVT801, an investigational new drug for various forms of cancer. The company was formerly known as Novogen Limited and changed its name to Kazia Therapeutics Limited in November 2017. Kazia Therapeutics Limited was incorporated in 1994 and is based in Sydney, Australia.
Key Insights
Kazia Therapeutics (KZIA) Core Market Data and Business Metrics
Latest Closing Price
$6.11Market Cap
$12.69 MillionAverage Trade Volume
43,705 SharesCEO
Dr. John Edwin Friend II, M.D.Total Employees
7IPO Date
January 6, 1999SIC Description
Pharmaceutical PreparationsPrimary Exchange
NASDAQHeadquarters
140 Wicks Rd, New South Wales 2113, C3, 2113
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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