METHODOLOGY · SAME MATH AS THE TX SERIES PREVIEW DATA
How your basket is computed
1 · Calculation
Level(t) = 1000 · Σᵢ wᵢ · Pᵢ(t) / Pᵢ(0) Contributionᵢ = 1000 · wᵢ · (Pᵢ(T) / Pᵢ(0) − 1) [index points]
Identical to the Trensik XRPL Benchmark Series (§5 of the indices methodology). Base 1000.00 at P0; the 24-point preview window is the snapshot’s tail-aligned series; weights are fixed across the window. Everything computes in your browser from the same immutable snapshot of 2026-08-13 — no server, no estimation.
2 · Weighting modes
MCAP uses snapshot market caps, optionally passed through the series’ iterative 10% cap-and-redistribute. Small baskets where n × 10% < 100% fall back to equal weight — the same named Small-Basket Rule the TXTR and TXCM benchmarks use. EQUAL gives every member 1/n. CUSTOM takes your raw numbers and normalizes them to 100% — the display always shows effective weights.
3 · Statistics
HHI is Σwᵢ²; top-N weight sums the N largest weights; breadth counts members up vs down over the window; the equal-weight overlay recomputes your selection at 1/n so the gap between the lines is your weighting’s concentration effect, in index points.
4 · What this is not
An educational computation over preview data. Baskets are not products, offers, portfolios, backtests, or advice. No annualization, no extrapolation, no ratings. Share links encode only the selection and weights — nothing else.
Preview data — computed at build from the immutable market snapshot of 2026-08-13. Not investment advice; no ratings or opinions are published.