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FractalCycles
Detect hidden market cycles with statistical rigor
FractalCycles uses signal processing to find statistically validated repeating cycles in any market. The Hurst Envelope visualizes price channels from dominant cycle frequencies, showing where price should trade relative to its cyclic structure. Combined with Goertzel spectral analysis, Bartels significance testing, and composite cycle projections, you get a complete picture of market timing. Works across stocks, crypto, forex, commodities, and economic data. Free tier available.
I built FractalCycles because existing cycle analysis tools were either outdated desktop software or black boxes with no statistical validation. Most tools just fit sine waves to price without testing whether those cycles are real or just noise.
The Hurst Envelope alone is worth the visit. It builds dynamic price channels from dominant cycle frequencies, so you can see at a glance whether price is stretched or compressed relative to its cyclic structure. Some platforms charge a premium for just this one feature.
On top of that, FractalCycles applies Goertzel spectral analysis, Bartels significance testing, and Hurst exponent regime detection to give you a complete, statistically rigorous view of market cycles. Would love your feedback!
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About FractalCycles on Product Hunt
“Detect hidden market cycles with statistical rigor”
FractalCycles was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #143 on the daily leaderboard. FractalCycles uses signal processing to find statistically validated repeating cycles in any market. The Hurst Envelope visualizes price channels from dominant cycle frequencies, showing where price should trade relative to its cyclic structure. Combined with Goertzel spectral analysis, Bartels significance testing, and composite cycle projections, you get a complete picture of market timing. Works across stocks, crypto, forex, commodities, and economic data. Free tier available.
FractalCycles was featured in Fintech (46.9k followers), Investing (26.6k followers) and Data & Analytics (5.6k followers) on Product Hunt. Together, these topics include over 24.9k products, making this a competitive space to launch in.
Who hunted FractalCycles?
FractalCycles was hunted by Ken Nobak. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how FractalCycles stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Ken Nobak