A comparison of the Kaz effect on stock price over time, aligned by tenure so OPEN and Shopify can be compared at the same relative point from the start.
“The score will take care of itself.” — Bill Walsh
Methodology: Indexed comparisons use the sheet indexed fields. For Shopify, the adjusted price view uses adjClose where available so the split does not create an artificial cliff in the price charts.
How Shopify split is handled
Raw Close shows the literal close from the sheet, which can create an artificial cliff around the split.
Adjusted Where Available uses Shopify adjClose for close-based views so pre-split and post-split prices are more comparable.
Best way to read this dashboard
Use Indexed comparison for the cleanest OPEN vs SHOP tenure comparison. Use Price basis to inspect how Shopify looks with and without split adjustment.
Indexed comparison by period since start
OPEN and SHOP aligned on the same x-axis using the selected methodology.
Actual close prices
Price comparison using the selected price basis, aligned on the same period-since-start axis.
Latest indexed snapshot
Quick comparison of latest indexed values for the selected granularity.
Shopify split view
A direct comparison of Shopify raw close versus adjusted close so the split effect is easier to understand visually.
Method breakdown chart
Close, average, start, and midpoint price lines for the selected stock and granularity. Shopify can use adjusted close to smooth the split effect.
Data table
Showing rows from selected tab.
Period
Since start
Close
Average
Start
Mid
Close indexed
The table shows the first 40 rows for the selected stock and granularity. When price basis is adjusted, Shopify close values are shown from adjClose where available.
This dashboard is not affiliated with Opendoor.
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Loading dashboard data
Pulling the latest OPEN and Shopify data from the sheet-backed dashboard service.