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Home » 2022 » June
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June 25, 2022 When The Biggest Losing Week In Over A Year Is Made Up For The Following Week

June 20, 2022 CBI Spikes Over 10 During A Downtrend

June 18, 2022 Wealth Destruction: A Visual Essay

June 15, 2022 Fed Days: Pre vs Post-Announcement Action During Downtrends

June 12, 2022 A Rare “Inverse Zweig Breadth Collapse” Triggers

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DISCLAIMER: PAST PERFORMANCE, WHETHER ACTUAL OR TESTED, DOES NOT GUARANTEE FUTURE RESULTS, PROFITABILITY, OR CORRELATION TO ANY LISTED SECURITY OR TRADE IDEA.

This website is produced by Quantifiable Edges, LLC (QE), and is intended solely for informational and educational purposes. The Quantifiable Edges Subscriber Letter is a regularly issued impersonal financial research commentary. Commentary in the letter and on the website should not be construed as personalized investment advice, a solicitation to buy or sell securities, or a recommendation tailored to any individual’s financial circumstances. Data provided by Tradestation and Norgate Data. The information presented herein is believed to be accurate at the time of publication, but QE makes no representation or warranty as to its completeness or reliability. Opinions, data and analyses are subject to change without notice. Readers are encouraged to conduct their own due diligence and consult with a qualified financial professional before making investment decisions. There is a high degree of risk in trading and simulated performance results have certain inherent limitations. Unlike an actual performance record, simulated results do not represent actual trading or the results of a specific account or group of accounts. Because these trades may not have been executed, results could misrepresent the effects of market factors like liquidity. Simulated trading programs in general are also subject to the fact that they are designed with the benefit of hindsight. No representation is being made that any account will or is likely to achieve results like those shown. QE, its officers and employees do not accept responsibility for any direct or consequential loss resulting from the use of this information.

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