Quantitative trading strategies - download pdf or read online

By Lars Kestner

ISBN-10: 0071412395

ISBN-13: 9780071412391

ISBN-10: 0071436030

ISBN-13: 9780071436038

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W. D. Gann, Richard Donchian, Welles Wilder, and Thomas DeMark are among its well-known pioneers. William D. Gann In the early 1900s, Gann made his name as a young stock and commodity broker. A legendary trader, Gann put his ideas and his credibility on the line in an interview with the Ticker and Investment Digest magazine in 1909 (Kahn, 1980). The magazine published a four page interview in which Gann recounted his trading record. His forecasts were incredibly accurate. During October 1909, according to the interview, Gann made 286 trades in various stocks, 264 of which were profitable and only 22 resulting in losses.

Afraid that they would be left holding the bag when the market made a low, otherwise rational investors can become irrational. As a result, they sell investments to raise cash, either hoping to miss some of the decline or, at the very least, to outperform their peers. An article originally published in the Journal of Finance is credited with beginning the behavioral finance revolution. In 1986, Werner DeBondt and Richard Thaler studied the return differences of the best and worst performing stocks from 1926 through 1982.

Renaissance Technology, run by prize-winning mathematician Jim Simons, has everything to do with technology but nothing to do with losses. If you have not heard of Simons or his firm, you are not alone. Keeping a low profile, Renaissance has posted some of the best returns in the industry since its flagship Medallion fund was introduced in 1988. D. from the University of California at Berkeley, Jim Simons taught mathematics at MIT and Harvard. Successfully investing in companies run by his friends, Simons left academia and created Renaissance Capital in 1978.

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Quantitative trading strategies by Lars Kestner


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