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The most trusted name in historical data, updated for 2016
Stock Trader's Almanac 2016 is the latest update to the indispensible trader's and investor's resource. Trusted by Barron's, The Wall Street Journal, the New York Times, and other well-regarded media outlets, this compendium of historical stock market data provides critical information you can't get anywhere else. New information includes the latest patterns, seasonalities, trends, and cycles, based on some of the most trusted data in the industry. You get access to the Hirsch Organization's Best Six Months Switching Strategy, the renowned January Barometer, and Presidential Election Year Cycles and Perspectives, for a wealth of historical patterns widely followed by savvy investors. Organized in a calendar format, this guide provides monthly and daily reminders, plus invaluable alerts to risks and opportunities throughout the year to help you reach your full investment potential.
For fifty years, thousands of market professionals have turned to the Stock Trader's Almanac for the data they need to get an edge on the market. Whether you rely on fundamental analysis, technical analysis, or a mix of the two, historical data is vital—and it doesn't get any better than the sterling data found in this guide.
- Get the latest trends, patterns, cycles, and more
- Forecast trends with accuracy and confidence
- Work from the cleanest data in the business
- Discover seasonal opportunities and dangers
Historical patterns have a tendency to repeat, as proven over and over again. Having a cache of historical data at your fingertips is like having a window to the future of the market—you would be crazy not to use it to your advantage. Stock Trader's Almanac 2016 is your data cache, with expert strategy and insight for better trading decisions.
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Trading foreign exchange, cryptocurrencies, and algorithmic assets on margin carries a high level of risk and may not be suitable for all investors. Past performance of any trading system or quantitative blueprint does not guarantee future results.<br><br><b>Asset Classification:</b>

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