If It's Raining in Brazil, Buy Starbucks pdf epub mobi txt 电子书 下载 2025
彼得•纳瓦罗，哈佛大学经济学博士，加州大学经济学教授，著名的股票畅销书作者，《哈佛商业评论》、《商业周刊》、《纽约时报》、《华盛顿邮报》等权威媒体的特约撰稿人。
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This is the breakthrough trader's guide on how to spot - and profit from - news-driven market swings. The hardcover edition of "If It's Raining in Brazil, Buy Starbucks" first introduced Professor Peter Navarro's authoritative "macrotrading" system to traders around the world. Now let this paperback edition introduce you to the market-proven power of macrotrading, and show you how to increase your trading precision by more precisely quantifying the impact of economic events on specific sectors of the stock market."Learning to interpret news correctly is a key in successful investing. Peter Navarro gives lots of great examples to help you learn." - Jim Rogers, Author, "Investment Biker". "In targeting the market events that cannot be ignored, "If It's Raining in Brazil, Buy Starbucks" does a great job separating the thought process of the amateur investor from the professional. Navarro's book gives the reader a valuable insight into market psychology." - David S. Nassar, CEO, MarketWise Securities, Inc., bestselling author, "How to Get Started in Electronic Day Trading and Rules of the Trade". "Witty, fun, and very informative...Peter Navarro has come as close as you can to creating the ultimate roadmap to understanding how news and economic events affect markets. I wish this book had been available when I started my trading career." - Oliver L. Velez, CEO, Pristine Capital Holdings, Inc., and Pristine.com, author of "Tools and Tactics for the Master Day Trader".
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（《第一财经周刊》专栏文章，作者崔鹏。节选与本书相关内容，全文见：http://www.yicai.com/news/2013/04/2632587.html） 这里最明显的一个例子就是写《巴西下雨就买星巴克的股票》的彼得·纳瓦罗，他就是那种脑筋只会转一次的投资者。巴西下雨，咖啡丰收，星巴克收购咖啡价...
评分原著不知道怎么样，但是翻译烂极了
评分炒股之人，高者可以窥一叶而知秋，敏锐的洞悉市场大势，人未动而已行动，处处占尽先机，等到大众蜂拥而至，早就赚得盆满钵满，到时轻松抛出，笑看之后的浮浮沉沉；中者，有多年炒股经验，有自己独到的技术分析能力，一旦嗅到熟悉股票的细微变化，立刻出手，总能在股市巨波中获...
评分投资者言，入市须知 评《如果巴西下雨就买星巴克股票》 还记得学习“蝴蝶效应”的概念是这样的：“一只南美洲亚马逊河流域热带雨林中蝴蝶，偶尔扇动几下翅膀，可以在两周以后引起美国得克萨斯州的一场龙卷风。” 蝴蝶效应通常用于天气、股票市场等在一定时段难以预测的比较...
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