Report
EUR 18.48 For Business Accounts Only

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.
Underlying
Zig Sheng Industrial Co. Ltd.

Zig Sheng Industrial is engaged in the production and sale of textile products. Co.'s products include polyester texture yarns, nylon stretch yarns, two-tone or three-tone polymer yarns, air textured yarn, high stretch polyester yarns, high shrinkage yarns, lacing yarns, cationic yarns, and polyamide polymers.

Provider
Ford Equity Research
Ford Equity Research

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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