
The Payments Corner
Decoding the Payments StackCohorts.
Each layer of the stack, read as a cohort. Are the names moving as one trade — or getting re-underwritten one by one? Lines rebased to 100; cohesion is the average pairwise correlation of daily returns after the S&P is stripped out, so it measures payments-specific co-movement, not the market tide.
AS OF 2026-09-10 · 16:00 ET · each cohort’s window is set independently on its own card
The Tollbooths
· Card NetworksThe Tollbooths: mixed — correlation 0.56 over YTD; V +6.0% vs AXP -14.0%. Partial cohesion with individual stories emerging.
The Balance Sheets
· Issuing Banks & LendersThe Balance Sheets: mixed — correlation 0.51 over YTD; BFH +41.9% vs TBBK -25.7%. Partial cohesion with individual stories emerging.
The Engines
· Processing & InfrastructureThe Engines have decoupled — correlation just 0.38 over YTD; CPAY +35.9% vs FICO -41.5%. Divergers: CPAY, PAY, GDOT, PGY, FOUR, FICO. Names are being re-underwritten individually.
The Interfaces
· Consumer & Merchant PlatformsThe Interfaces have decoupled — correlation just 0.27 over YTD; SEZL +81.7% vs KLAR -51.7%. Divergers: SEZL, CHYM, XYZ, PAGS, MELI, TOST, PYPL, NU, HAPN, SHOP, STNE, ADYEY, SOFI, UPST, KLAR. Names are being re-underwritten individually.
The Corridors
· Cross-Border PaymentsThe Corridors have decoupled — correlation just 0.23 over YTD; RELY +65.9% vs WU -25.4%. Divergers: RELY, FLYW, IMXI, WSE, WU. Names are being re-underwritten individually.
The Alternatives
· Crypto & Alternative RailsThe Alternatives: mixed — correlation 0.42 over YTD; CRCL +8.2% vs COIN -27.2%. Partial cohesion with individual stories emerging.
Methodology: daily-return correlation (not price levels), market-adjusted — the S&P return is regressed out of each name (residual = return − β·S&P) so cohesion reflects co-movement beyond the market (on a risk-on day everything correlates; residuals strip that out). Cohesion = average pairwise correlation of residuals; ≥0.70 = moving together, 0.40–0.70 = mixed, below 0.40 = diverging. Mkt β = the cohort’s average sensitivity to the S&P. Each name’s R² is its fit to the equal-weighted, leave-one-out cohort residual factor (an “out” tag = low fit, a diverger). Charts show actual rebased price paths with the S&P/Nasdaq as toggleable benchmarks. Short windows carry too few trading days to trust the correlation — read the chart, not the number. History depth is ~1 year, so 5-year is not yet offered.
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