具体描述
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".
作者简介
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。
目录信息
读后感
纳老头儿用比较浅显的道理给大家解释了一些貌似复杂的经济现象。但是在理论层面显然纳瓦罗这个老头不如另外一个老头儿强——索罗斯。在理论层面纳瓦罗深入浅出的描述了一个类似“蝴蝶效应”对于市场的影响，但是索罗斯更进一步的用自己的“反身理论”描述了投资者有可能...
评分书名很有趣很吸引人，但是内容感觉还是挺枯燥的。 其实讲的无非是宏观经济、行业、企业基本面对股价的影响。 很简单的道理，老外作者讲得似乎太复杂了。 这就是浅入深出吧。 不够有趣。 本来想好好读一读收获一下的，还是挺失望的。 先放一边吧。
评分 评分书中幽默的语言、风趣的故事、清晰的投资逻辑、扎实的理论基础，还有丰富的投资资讯，给我留下了深刻的印象，也对自己的投资选股大有帮助。不论你是否具备专业的经济学知识，也不论你是否曾经有过股票投资的经验，书中缜密的投资思想使你学会规避风险，善于捕捉投资机会。更重...
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...
用户评价
相关图书
本站所有内容均为互联网搜索引擎提供的公开搜索信息，本站不存储任何数据与内容，任何内容与数据均与本站无关，如有需要请联系相关搜索引擎包括但不限于百度，google,bing,sogou 等
© 2026 book.wenda123.org All Rights Reserved. 图书目录大全 版权所有