Automated statistical arbitrage signal generator using cointegration analysis and mean-reversion strategies. This dashboard monitors 15 equity pairs across financials, energy, and retail sectors, identifying trading opportunities when pairs diverge beyond ±2 standard deviations.

Methodology: Pairs were identified using 252-day rolling correlation and Engle-Granger cointegration tests (p < 0.10) as of November 17, 2025. Signals generated when spread Z-scores exceed ±2σ thresholds. Built with AWS Lambda (Python), D3.js, and real-time data from Yahoo Finance.

[github link] [ianmooreanalytics.com]

Automated pairs trading dashboard monitoring 15 equity pairs.

View on desktop for full methodology.

-

-

-

P-Value:

-

|

-

|

-

Signal Strength:

-

Status:

Diverged

(3 Days)

Recent Z-Scores:

AXP / BAC

Z-Scores

AXP / BAC

Normalized Prices