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FractalCycles

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Detect hidden cycles in time series data

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About FractalCycles

What is FractalCycles?

FractalCycles is a quantitative analytics platform built on three pillars: J.M. Hurst's cyclic principles, spectral analysis via Goertzel DFT, and Hurst exponent regime detection. Upload market data or connect a live source, and the platform returns the dominant cycles with their phase, amplitude, and statistical significance (Bartels test). The Hurst Envelope and FLD are driven by the detected cycles rather than fixed assumptions, and a composite projection combines them into a single forward waveform. Works across stocks, ETFs, crypto, forex, commodities, and 800,000+ FRED economic series. Market analysts, macro economists, and systematic investors use FractalCycles to understand underlying cyclic structure rather than chase lagging indicators. Free tier available.

Problem this tool solves

Traditional indicators lag price. Hidden cycles in markets go undetected without proper DSP tools.

How it solves the problem

Goertzel DFT + Bartels test + Hurst exponent yield statistically validated cycles with projections.

Target Audience

Market analysts, macro economists, investors, and systematic traders.

Use Cases

  • · Detect dominant cycles in any OHLCV dataset
  • · Analyse macroeconomic cycles via FRED data

Main Features

Spectral Analysis EngineHurst Exponent Live Market DataHurst Envelope and FLD

Categories

Finance & FinTechSaaS Tools

Pricing

Pricing Type: Freemium

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IN
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