Foghorn Therapeutics FHTX
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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
Foghorn Therapeutics (FHTX) Business Model and Operations Summary
Foghorn Therapeutics Inc is engaged in the discovery and development of a new class of medicines targeting genetically determined dependencies within the chromatin regulatory system. Its proprietary Gene Traffic Control platform gives an integrated, mechanistic understanding of how the various components of the chromatin regulatory system interact, allowing it to identify, validate, and potentially drug targets within the system. The company is developing FHD-286, a selective, allosteric ATPase inhibitor, and FHD-609, a protein degrader, to treat hematologic cancers and solid tumors.
Key Insights
Foghorn Therapeutics (FHTX) Core Market Data and Business Metrics
Latest Closing Price
$4.08Market Cap
$225.75 MillionTotal Outstanding Shares
55.74 Million SharesTotal Employees
112IPO Date
October 23, 2020SIC Description
Pharmaceutical PreparationsPrimary Exchange
NASDAQHeadquarters
500 Technology Square, Cambridge, MA, 02139
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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