"Time Series Stacking"
Time Series Stacking is an advanced forecasting technique that combines predictions from multiple models to improve accuracy and robustness. It involves training various base models on historical data, each capturing different patterns and relationships. These models' predictions are then used as inputs for a meta-model, which learns to optimally combine them for the final forecast. This approach leverages the strengths of different models, providing better performance than any single model alone, and is flexible enough to handle diverse types of time series data.
"The Power of FLOW"
The FLOW software is wholly unique in that it brings together a multitude of other stochastic, oscillator, parabolic, fractal, and geometric market analytics using the most advanced in applied mathematical tools. Incorporating an amazing twist on FFT (Fast Fourier Transform Analysis), a fractal algorithm, and some of the FLOW ‘secret sauce’, the FLOW team has finally made available a ‘trend predictive’ technology that is presently unsurpassed on at least this planet.
We use the FLOW technology with our FAZE FILTER to identify the highest likelihood movers both up and down. By selecting for symbols with the highest predicted percentage expected return across multiple time frames, we create a portfolio that is both optimized for return and dynamically hedged.
While the FLOW is not one-hundred percent predictive, it is uncannily accurate. A trader with a basic understanding of technical analysis, will typically find that the FLOW is the only software needed outside of standard charting, to trade on any time frame in any market.
"How Does The Technology Work?"
Imagine if you will, the ability to analyze every tick, every high-low- open-close of every one-minute bar for the past thirty-plus years in such a way as to identify common cycles and wave forms that are repeating and/or predictive. Now imagine combining that same analysis with two minute bars, three minute bars...forty seven minute bars, daily, two day, twenty-nine day...all the way up to yearly, and longer. Now TOG measures and weighs the predictive value of those patterns to project future wave forms along with the confidence interval of those wave forms on multiple time frames. Data that is not valued as predictive is eliminated, and new data is continually brought into the algorithms to re-evaluate and modify the predicted cycles. This means the technology is not good for a period of time, but rather is dynamically adjusting through the integration of the most recent data. This basic theory when combined with fractal theory and our ‘special sauce’ gives us a forward trend line with confidence bands (similar to Bollinger Bands or a Keltner Channel).