MarketBrowser was developed by Leading Market Technologies, Inc. LMT is recognized as one of the foremost developers of advanced analytics and decision support software solutions for the financial industry, having achieved many important marketplace firsts in its history. LMT's team has been chosen by the world's largest and most successful financial firms, to support mission critical decision support and trading operations across a wide spectrum of markets and classes of instruments.
MarketBrowser®:
A powerful family of Solutions for Individual Investors and Investing ProfessionalsMarketBrowser®. MarketBrowser is the most popular live stock market monitoring software in the world, having garnered over 1.5 million users. Launched initially as part of WSJ.com, MarketBrowser then attracted worldwide distribution agreements with JP Morgan/Brownco, Google, Nasdaq, Motley Fool, Forbes.com, and Morningstar.com among other market leaders, as well as being chosen by Hewlett Packard to be bundled onto over 4.5 million HP desktop computers.
Today, MarketBrowser remains one of the most versatile and popular desktop vehicles for exploring market context and dynamically drilling down into the instrument-specific content provided by the most popular finance websites.MarketBrowser AE is a low-priced, highly featured "super-upgrade" to MarketBrowser, giving users the ability to harness the over 700 analytics, math, stats and programming functions which MarketBrowser has "under the hood", as well as LMT's Conditional Analytics™, a powerful macro language, and LMT's unique-in-the-world mSheet - laying a classic spreadsheet control panel/scorebox into any of MarketBrowser's individual windows to enable mSheets'spreadsheet-style formulas complete computational access to the live or historical chart data appearing in other MarketBrowser windows. Display up to 64 graphic market data (or mSheet) windows, and enjoy unlimited free access to robust delayed data, including stocks, mutual funds, indexes, currencies and a vast database of economic time series.
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