-
ISIN | US5322751042 |
---|---|
Industry | Specialty Chemicals |
Sector | Basic Materials |
CurrencyCode | USD |
Exchange | NASDAQ |
Beta | 2.23 |
---|---|
Market Cap | 549M |
Dividend Yield | 0.0% |
Target Price | 2.71 |
PE Ratio | None |
Lightwave Logic, Inc., a development stage company, focuses on the development of photonic devices and non-linear optical polymer materials systems for fiber-optic data communications and optical computing markets in the United States. The company is involved in designing and synthesizing organic chromophores for use in its electro-optic polymer systems and photonic device designs. It also offers electro-optic modulators, which converts data from electric signals to optical signals for transmission over fiber-optic cables; and polymer photonic integrated circuits, a photonic device, which integrates various photonic functions on a single chip. In addition, the company provides the ridge waveguide modulator, a modulator that fabricates the waveguide within a layer of its electro-optic polymer system. It focuses on selling its products to electro-optic device manufacturers, such as telecommunications component and systems manufacturers, networking and switching suppliers, semiconductor companies, Web 2.0 media, computing companies, aerospace companies, and government agencies. The company was formerly known as Third-order Nanotechnologies, Inc. and changed its name to Lightwave Logic, Inc. in March 2008. Lightwave Logic, Inc. was founded in 1991 and is headquartered in Englewood, Colorado.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for LWLG using our backtest tool. PyInvesting provides the backtesting software for you to backtest your investment strategy. Our backtest software is written using Python code and allows you to backtest stock, backtest etf, backtest options, backtest crypto and backtest forex online. Our backtesting Python framework is highly robust and gives you a realistic simulation of how your strategy would have performed in the past using backtest data.
© PyInvesting 2024