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As we now have the cyclical data set prepared, the next step is to discover the individual cycles that are active. Subsequently, the engine needs to perform a spectral analysis and then isolate those cycles that are repetitive and have the largest amplitudes. ...

The algorithm has a dynamic filter for de-trending that is required for data preprocessing. Detrending ensures that the data under consideration is not affected by trends or one-time events. The extraction of linear trends in time series data is a required pre...

After finishing cycle analysis, we will get a list of detected active cycles. The cycle detection algorithm gave us a list of cycles with length, amplitude, and current phase status at the end of the data set. Now, we need to validate and rank these cycles as ...

The cycle toolbox has integrated external data-sources for end-of-day datasets. It includes major global stocks, market indices, crypto-currencies and forex data. Stock market data The market type ID to get major global stocks and indices datasets is YFI. Us...

The following chart summarizes all relevant parameters related to a "perfect" sinewave cyle:   What is Frequency? Frequency is the number of times a specified event occurs within a specified time interval.Example:5 cycles in 1 second= 5 Hz 1 cycle in 16 ...

Ensure you use your personal API key. You can set your API key in the cycle.tools console. Replace YOUR_API_KEY in the examples with your personal key. CycleExplorer Endpoint Use this endpoint to post raw data series array to the endpoint. The example will p...

API Documentation You can visit and browse our interactive API docs via ReDoc (read only): api.cycle.tools/apidocs Or test the interactive API console with your API key in the swagger console: api.cycle.tools/specs To generate your API key, go to: https://cy...

An important final step in making sense of the cyclic information is to establish a measurement for the strength of a cycle. Once ranking and sorting for detected cycles is completed, we have cycles that are dominant (based on their amplitude) and genuine (con...

Cycles are not static Dominant 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 activ...

Why are cycles so important? Our daily work schedule is determined by the day and night cycles that come with the rotation of the Earth around its own axis. The orbit of the Moon around the Earth causes the tides of the oceans. Gardeners have long understood...

The pivotal point of the approach described here is a method that can accurately determine which cycle is currently active with regard to the length, amplitude, and duration of the last high and low of a data series. To borrow from the language of engineering...

The following figure outlines how the Cycle Scanner algorithm works. The following pages describe each step of this algorithm.  

Cycles that influence our life here on Earth. Cycles that represent energy flows that influence people’s moods and emotions. Cycles that represent energies originating from outer space. Cycles that manifest themselves in the measurable value of the economy. T...

Version 1.5 - 28 Jan 2021 New Feature: Live Webinar room to host private live inside webinars New Feature: Share interactive workbooks with colleagues and guests via short invite URL (Analyst or Pro) Cycle Scanner: Added new indicator "Composite Energy Mode...

How to use cycle analysis with Microsoft Excel via the Cycle Tools API Dominant Market Cycles The MarketCycles API endpoint allows you to do dominant cycle analysis for stocks, index data, forex and commodities without the need to subscribe for data-feeds an...

The following video shows how to integrate the cycle tools API within NinjaTrader to use cycle analysis for indicators in NT 8: Download the NinjaTrader integration script as indicator via the attached zip file to this article. Requires Cycles API key. An ...

Preface: Cycle analysis and cycle forecasting often imply the use of a symmetric time distribution between high to low and low to high. This is the underlying framework used by anyone applying mathematical signal processing to cycles and producing cycle-based ...

Cycles are not static, so what? Most cycle analysts have seen the moment-to-moment fluctuations, often referred to as shifts in the length and phase of a cycle, which are common in continuous measurements of a supposedly steady spectrum of financial records. ...

You can upload your own datasets as CSV files and save them in the cycles app. A CSV ("comma-separated values") file is a delimited text file that uses a comma to separate values. You can always manage (add, remove, update) your own saved data-sets in the set...