> ## Documentation Index
> Fetch the complete documentation index at: https://docs.vortexiq.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Volume Trend, Square

> Volume Trend for Square stores. Tracked live in Vortex IQ Nerve Centre. How to read it, why it matters, and how to act on it.

**Metrics type:** [Supporting Metrics](/nerve-centre/overview#metrics-types-explained)  •  **Category:** [Payment Gateway](/nerve-centre/connectors#connectors-by-type)

## At a glance

> Daily Square payment volume across all channels, plotted over the period. The single most useful card for spotting weekend-vs-weekday seasonality, holiday pulls, or sudden cliff-drops (POS terminal outage, Square Online site issue, payment-route degradation).

|                        |                                                                                                                         |
| ---------------------- | ----------------------------------------------------------------------------------------------------------------------- |
| **What it counts**     | `SUM(amount_money.amount)` per day, where `status = COMPLETED`, on `/v2/payments`. Plotted as a 30-day line by default. |
| **Currency**           | Per-currency line. Multi-location US+CA merchants get two lines.                                                        |
| **Channels**           | Unified by default; can be split POS / Online / Invoices in the drilldown.                                              |
| **Refunds / disputes** | NOT subtracted from the daily volume.                                                                                   |
| **Day boundary**       | UTC by default; a Texas merchant's "Saturday" is approximately 06:00 Saturday UTC to 06:00 Sunday UTC.                  |
| **Time window**        | `30D` (with `vsP` overlay).                                                                                             |
| **Alert trigger**      | `cliff drop >40% day-over-day` (driven by `revenue_trend`); also `negative slope >15% week-over-week`.                  |
| **Roles**              | owner, finance, operations                                                                                              |

## Calculation

Calculated automatically from your Square data. See the At a glance summary above for what the metric tracks and the worked example below for a typical reading.

## Worked example

30 days of the Austin bookshop, daily volumes (representative shape):

| Day pattern   | USD volume      | Notes                               |
| ------------- | --------------- | ----------------------------------- |
| Mondays       | \~ 3,400        | Slow-day baseline                   |
| Tue, Wed, Thu | \~ 3,800, 4,200 | Normal weekday                      |
| Fridays       | \~ 5,200        | Pre-weekend spike                   |
| Saturdays     | \~ 7,800        | Peak day                            |
| Sundays       | \~ 5,400        | Brunch-hour spike, slower afternoon |

Specific signals:

1. **Day 14 cliff drop to USD 1,100.** Saturday 16 Apr 26, lower-than-Sunday volume. Investigation in [`squ_decline_rate`](/nerve-centre/kpi-cards/square/decline-rate) showed the chip reader had an EMV firmware fault for 4 hours mid-day; \~120 attempted card-present payments fell back to cash or were lost.
2. **Day 22 spike to USD 12,400.** Saturday 23 Apr 26, double normal Saturday. Local independent-bookshop-week event drove walk-in foot traffic. Volume held but avg-ticket dropped (more low-value impulse browsers).
3. **Online slope rising 8% week-over-week.** Square Online's portion of daily volume climbed steadily over the 30 days; this is structural (post-launch ramp from a recent SEO push), not a one-off.
4. **No Sunday-evening dropoff.** A typical retail-only POS would see Sunday evening go quiet from 17:00 onward. Ravenwing stays open Sunday 12:00, 18:00 and the curve respects that.
5. **The trend in dollar terms hides count vs avg movement.** Pair this card with [`squ_total_transactions`](/nerve-centre/kpi-cards/square/total-transactions) trend to see whether growth is more transactions or higher tickets.

## Sibling cards merchants should reference together

| Card                                                                              | Why pair                                                                               |
| --------------------------------------------------------------------------------- | -------------------------------------------------------------------------------------- |
| [`squ_total_volume`](/nerve-centre/kpi-cards/square/total-volume)                 | This card is its daily-resolution view.                                                |
| [`squ_total_transactions`](/nerve-centre/kpi-cards/square/total-transactions)     | Pair to read whether trend is volume-led or count-led.                                 |
| [`squ_decline_rate`](/nerve-centre/kpi-cards/square/decline-rate)                 | Cliff drops here usually pair with decline-rate spikes.                                |
| [`squ_avg_transaction`](/nerve-centre/kpi-cards/square/average-transaction)       | Slope of avg-ticket vs slope of count tells you if you're growing baskets or footfall. |
| Stripe [`stripe_revenue_trend`](/nerve-centre/kpi-cards/stripe/revenue-over-time) | Cross-PSP daily comparison.                                                            |

## Reconciling against the vendor's own dashboard

**Where to look in the Square Dashboard:**

> **Reports → Sales → Sales Summary** with "Daily" granularity.

The Dashboard renders the same shape; numbers should match within timezone tolerance.

**Common divergences:**

| Reason        | Direction                               |
| ------------- | --------------------------------------- |
| Time zone     | Boundary-day shift (Austin vs UTC = 5h) |
| Tender filter | Cash inclusion vs Card-only             |
| Refresh lag   | Today's last few minutes may be missing |

**Cross-connector reconciliation:** the daily curve here should track the daily Shopify / BigCommerce orders curve for the online subset, with Square typically lower (online-only is a fraction of total Square volume).

## Known limitations / merchant FAQs

**"Daily volume looks fine but my deposits are lumpy, why?"**
Square deposits are T+1 by default. Saturday's volume hits your bank on Monday (Sunday deposits are batched on Monday in many regions). Volume trend reads transaction date; deposits read settlement date.

**"Why is Sunday lower than Saturday for retail?"**
Universal in retail: Saturday is errand day, Sunday is family / leisure day. The exception is restaurants and brunch-led businesses where Sunday brunch peaks higher than Saturday.

**"Should I trust the very latest day on the curve?"**
The freshest 5, 15 minutes may be missing due to sync lag. The latest day's value will catch up overnight.

**"Cliff drops in one channel only, what to look at?"**
If POS dropped but Online held, the issue is hardware. If Online dropped but POS held, the issue is the website. Check [`squ_decline_rate`](/nerve-centre/kpi-cards/square/decline-rate) sliced by `source_type`.

**"Promotional spike, will it be flagged as anomaly?"**
The alerting is direction-aware: drops alert, spikes don't. A 2x Saturday from a local event won't ping.

**"Can I get an hourly trend?"**
Roadmap. The underlying `/v2/payments` carries `created_at` to second resolution; surfacing hourly is straightforward but not yet exposed.

**"Does this include offline-mode transactions?"**
Yes, once they upload. Offline-mode transactions carry the original transaction time, so they backfill the curve correctly when sync catches up.

**"Multi-location stores, do I see per-location trend?"**
Aggregate by default; per-location slicing via `location_id` is on the connector roadmap.

***

### Tracked live in Vortex IQ Nerve Centre

*Volume Trend* is one of hundreds of KPI pulses Vortex IQ tracks across Square and 70+ other ecommerce connectors. Nerve Centre runs the detection layer; Vortex Mind investigates the cause when something moves; Ask Viq lets you interrogate any number in plain English.

[Start for free](https://app.vortexiq.ai/login) or [book a demo](https://www.vortexiq.ai/contact-us) to see this metric running on your own data.
