{"id":57,"date":"2022-04-03T22:38:49","date_gmt":"2022-04-03T22:38:49","guid":{"rendered":"https:\/\/pfr.com\/WP1\/?page_id=57"},"modified":"2026-03-03T23:21:33","modified_gmt":"2026-03-03T23:21:33","slug":"extremehurst","status":"publish","type":"page","link":"https:\/\/pfr.com\/WP1\/products\/extremehurst\/","title":{"rendered":"ExtremeHurst"},"content":{"rendered":"\n
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ExtremeHurst<\/strong>\u2122 is a quantitative detector of extreme investor behavior. Specifically, strong trend-persistent stock price movements are evidence of positive feedback, such as investors irrationally buying because the price is going up\u2026which drives prices higher, etc.<\/p>\n\n\n\n

In 1994, Parallax found a way to measure extremes of mean reversion and trend persistency by using multiple measurements of the Hurst exponent. We found that these extremes are unstable points in financial markets<\/strong> that are characterized by discrete scale invariance, accelerating price, and log-periodic cycles. At these points new trends begin and end.<\/p>\n\n\n\n

We built a filter to identify these events on any time scale. See the examples on the right.<\/p>\n<\/div>\n\n\n\n

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Extension Examples<\/strong>:<\/h4>\n\n\n\n
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Compression Example:<\/strong><\/h4>\n\n\n\n
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ExtremeHurst\u2122 on Bloomberg<\/h2>\n\n\n\n

ExtremeHurst<\/strong> is on the Bloomberg Terminal<\/strong> in different forms and can be accessed by entering \u201cAPPS EHURST\u201d for the scanner, \u201cAPPS CS:PFR\u201d for G chart overlays, or \u201cAPPS PFEX\u201d for our EXCEL add-in<\/strong>. The Bloomberg platform was chosen as a host for this product because of its exclusive access to worldwide financial data on all time scales, and because of its position as the leading institutional platform. For the first time ever, subscribers will be able to search the world for Extension and Compression signals! Our product is written using Microsoft\u2019s .NET library, the C# programming language, and then linked to Bloomberg data servers through the Bloomberg API.<\/p>\n\n\n