Stocks & Commodities V. 29:7 (50-55): Product Review: Professional Flux Tool Set by Barbara Star, PhD
Product Description
Product Review: Professional Flux Tool Set by Barbara Star, PhD
Ben Letto, the computer programmer and creator of the Flux tools, has discovered a way for traders to view potential intraday price turning points that occur in the future. He has produced indicators based on predictive algorithms that harness the buying and selling behavior of institutional traders, revealing high-probability reversal times up to seven days in advance. In essence, he discovered a way to level the trading field by allowing the individual trader to peer through the tunnel of time and view potential price turning points that occur in the future.
The algorithms do this by looking back at thousands of bars of intraday data to find exact points in time when buying and selling patterns occurred on a regular basis. They identify the direction and magnitude of those patterns and use that information to predict future intraday market turns. Unlike fixed cycles that use measurements based on a specific number of days or data bars, the Flux indicator set detects repetitive patterns of institutional and large-scale trading behavior that tend to move the markets throughout the day.
And unlike optimization or curve-fitting, the Flux algorithms compare minute by minute and day after day of historical data to display only those patterns that repeat with enough frequency to show up clearly on a computer screen.
Ben Letto, the computer programmer and creator of the Flux tools, has discovered a way for traders to view potential intraday price turning points that occur in the future. He has produced indicators based on predictive algorithms that harness the buying and selling behavior of institutional traders, revealing high-probability reversal times up to seven days in advance. In essence, he discovered a way to level the trading field by allowing the individual trader to peer through the tunnel of time and view potential price turning points that occur in the future.
The algorithms do this by looking back at thousands of bars of intraday data to find exact points in time when buying and selling patterns occurred on a regular basis. They identify the direction and magnitude of those patterns and use that information to predict future intraday market turns. Unlike fixed cycles that use measurements based on a specific number of days or data bars, the Flux indicator set detects repetitive patterns of institutional and large-scale trading behavior that tend to move the markets throughout the day.
And unlike optimization or curve-fitting, the Flux algorithms compare minute by minute and day after day of historical data to display only those patterns that repeat with enough frequency to show up clearly on a computer screen.
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