Cycles

Dtw Clustering

Dynamic Time Warping (DTW) clustering of market time-series datasets. Groups datasets (e.g. ETFs, stocks) into clusters based on price movement similarity. Returns cluster assignments, medoid (representative) for each cluster, and silhouette quality scores. Pass a JSON object with the DtwRequest schema.

Sinc Smoother

Modified Sinc Smoother - convolution with a modified sinc kernel. An improved alternative to Savitzky-Golay filtering. Reference: M. Schmid and U. Diebold, DOI 10.1021/acsmeasuresciau.1c00054

Sav Gol

Savitzky-Golay smoothing filter. A polynomial smoothing filter commonly used for noise reduction while preserving signal shape.

Cycle Explorer

Dominant cycle analysis for a time series dataset. Detects the current dominant cycle from the input data. Returns cycle length, amplitude, phase, timing and optional bar-by-bar signal time-series. Requires at least 100 data points.

Cyclic Rsi

Cyclic Smooth RSI (CRSI) indicator. An optimized cyclic RSI oscillator by Lars von Thienen. Returns the CRSI values with upper and lower Bollinger-style bands.

Update Dataset

Ensure a dataset is up-to-date with the latest available market data. Triggers a background data fetch if needed and waits for completion (up to 30 seconds). Call this before GetDatasetSeries or GetDataset if you need the most current data. Supported feeds: FSC1 (EODHD), YFI (Yahoo), FDS (FRED), CDS (Crypto), WCT.

Cycle Scanner

Cycle power spectrum scanner. Performs full spectrum analysis on a time series to detect all significant cycles. Returns peaks with cycle length, amplitude, Bartels score and strength ranking. Requires at least 100 data points.

Market Cycles

End-of-day dominant cycle analysis for market symbols. Loads historical data for a known symbol and performs cycle analysis. Supports stocks, indices, commodities, forex, crypto. Use SearchSymbols first to find valid symbol IDs.

Search Symbols

Search for stock market symbols (stocks, ETFs, indices, crypto, futures). Returns matching symbols with name, exchange, currency and market type. Use this to find the correct symbol/ticker identifier before loading data or running cycle analysis.

Detrend

Detrending filter for time series data. Removes trend component to isolate cyclical behavior. Types: 0=HP Filter, 1=Boosted HP Filter, 2=Spline, 3=Polynomial, 4=One-Sided HP Filter (Kalman), 9=No detrending.

Help

Get an overview of all available cycle analysis tools and recommended workflows. Call this first to understand what tools are available and how to use them.

Rsd Test

RSD t-Test for detecting trend turning points in a time series. The Running Slope Difference t-test identifies multiple trend turning-points, detects all three types of trend turning, and has a low false alarm rate. Source: https://doi.org/10.1029/2019EA001042

Get Dataset Series

Get time-series OHLCV data for a dataset/ticker. Returns a text summary header plus OHLCV JSON data. Use SearchSymbols first to find valid ticker IDs. Set summaryOnly=true to return only the summary without the detailed price series.

Kde Cluster

KDE-based 1D clustering of numeric values with auto summary. Groups values into natural clusters using Kernel Density Estimation. Useful for grouping detected cycle lengths or other 1D data. Returns cluster summaries with center (median), min, max and member count.

Get Dataset

Get full dataset information including metadata and time-series data. Returns a text summary header plus metadata and OHLCV JSON data. Use SearchSymbols first to find valid ticker IDs. Set summaryOnly=true to return only the summary without the detailed price series.