Genetic Algorithm

Trading Intraday Volume Cycles Using a Genetic Algorithm

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Live intraday genetic algorithm cycles trading example on the emini S&P futures contract.

New Charting Module update available

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We have added some enhancements and have released the update…

MIT OpenCourseware: Learning – Genetic Algorithms

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This lecture explores genetic algorithms at a conceptual level.…

Cycles Book – Second Edition released

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The content of the cycles book has been extended with much more…

Academy: Dynamic Cycles Explained

Author Lars von Thienen The assumption that cycles are static over time is misleading for trading purposes. Dominant Dynamic Cycles morph over time because of the nature of inner parameters of length and phase. Active Dominant Cycles do not abruptly jump from one length (e.g., 50) to another (e.g., 120). Typically, one dominant cycle will remain active for a longer period and vary around the core parameters. The “genes” of the cycle in terms of length, phase, and amplitude are not fixed and wil