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.LANGOLD REAL ESTATE CO., LTD., formerly WUHAN LANGOLD REAL ESTATE CO., LTD., is a China-based company principally engaged in the development and operation of real estates. The Company is mainly engaged in property sale business. The Company is also involved in property rental and property management, hotel operation and other businesses. The Company operates its business in domestic market, with Wuhan, Hubei Province, China as its main market.
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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