Ford Equity International Rating and Forecast Report
Ford Equity International Research Reports cover 60 countries with over 30,000 stocks traded on international exchanges. A proprietary quantitative system compares each company to its peers on proven measures of business value, growth characteristics, and investor behavior. Ford's three recommendation ratings buy, hold and sell, represent each stock’s return potential relative to its own country market.. The rating reports which are generated each week, include the fundamental details behind each recommendation and reflect the fundamental and price data as of the last trading day of the week.Ta liang Technology Co Ltd is a Taiwan-based company principally engaged in the design, manufacture, processing and distribution of computer numerically controlled (CNC) precision machines. The Company's products are applied in printed circuit board (PCB) cutting and forming of back end of line (BEOL), PCB drilling of front end of line (FEOL), cutting and polishing of touch protective panels of cell phones, tablet computers and digital cameras. The Company mainly distributes its products in Taiwan, the rest of Asia and the Americas.
Ford US Equity Research covers more than 4,000 stocks using a proprietary quantitative model that evaluates a company’s earnings strength, its relative valuation and recent price movement. Ford’s five recommendation ratings include strong buy, buy, hold, sell, strong sell. For all stocks in our coverage universe, ratings are generated each week and reflect the fundamental and price data as of the last trading day of the week.
Ford Equity International Research Reports cover 60 countries with over 30,000 stocks traded on international exchanges. A proprietary quantitative system compares each company to its peers on proven measures of business value, growth characteristics, and investor behavior. Ford's three recommendation ratings buy, hold and sell, represent each stock’s return potential relative to its own country market.. The rating reports which are generated each week, include the fundamental details behind each recommendation and reflect the fundamental and price data as of the last trading day of the week.
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