SINE
SINE reads price and volume across the Solana ecosystem — or a single contract address — and runs real Fourier analysis on it: detrend, window, transform, then pull out the sine waves hiding inside, each with a measurable frequency, period, amplitude and phase.
Any price series can be rebuilt as a sum of sine waves. SINE finds the few that matter and tells you how strong they are.
Price, volume and liquidity for the ecosystem basket or one mint address, sampled at a fixed interval.
Take the log of price, fit and remove the linear trend, then apply a Hann window so the edges don’t leak false frequencies.
A discrete Fourier transform projects the series onto sine waves at every frequency it can resolve — from two cycles per window up to the Nyquist limit.
Spectral peaks are located with sub-bin interpolation and reported as frequency, period, amplitude and phase, plus the share of variance each explains.
Tracks the top 20 Solana tokens by market cap as one index — stablecoins, wrapped assets and liquid-staking tokens left out — to find the rhythms the whole market shares.
Paste any SPL token mint address and get that token’s own spectrum, measured against the ecosystem’s.
Every analysis comes with a written summary. You don’t need to know what a Fourier transform is to use it.
A strength rating tells you whether a token’s swings genuinely repeat, or whether the “pattern” on the chart is just randomness.
See whether price is early in a rise or near where past highs formed, with a live position that moves at the measured speed.
Find which tokens tend to move before the market, which follow it, and which ignore it entirely.
Read the full guide: what it measures, where the edge comes from, and its limits →
This table is computed in your browser, not typed in. Three cycles were planted in a noisy test series; the pipeline finds them without being told. “Share” is the fraction of detrended variance each wave explains.
Cycles describe what the data has done. Markets are under no obligation to repeat them, and a strong past cycle can vanish overnight. Nothing on this site is financial advice — always do your own research.