Vinova lab · real data

See the cash rhythm
then understand what drives it

The curve is rebuilt only from bank dates and amounts, then cash-flow analysis uses the existing categories in the file to explain how cash behaves

✓ 1,379 transactions✓ Jul 2019 → Sep 2026✓ Month-end cash rebuilt✓ Configurable backtest
WHAT THIS PAGE DEMONSTRATES
Bank balances are enough to detect potential windows, then cash flows explain why those windows exist
History→Flows→Forecast→Investment
Bank history

Month-end cash, month after month

The balance is rebuilt by accumulating the transactions in the file, while the opening balance remains adjustable

PERIOD ANALYSED——
REBUILT BALANCE—at the latest available date
HISTORICAL HIGH——
HISTORICAL LOW——
Rebuilt cash positionBalance at each month end
Hover over a point to display the month and balance · the curve does not depend on categorisation
Cash pattern

The cycle becomes visible at a glance

Each cell shows the rebuilt month-end balance, making it easy to compare years and spot unusual periods

Month-end balance by yearHorizontal: one year · vertical: the same month
LowHigh
01

The curve shows cash without needing to know the nature of every purchase

02

Years with major works stand out immediately and should not be confused with normal operations

03

Categorisation then explains income, recurring expenses and investments

Vinova cash-flow analysis

Useful business insight without requiring perfect accounting-level precision

To isolate normal operations, Vinova separates the stabilised 2021–2025 operating period from major works in 2019–2020 and 2026

Categorised real data
RENTAL REVENUE—2021–2025
OPERATING EXPENSES—excluding major investments
OPERATING CASH FLOW—before financing and personal taxation
STRONGEST MONTH—average 2021–2025
Average monthly income and expensesMonthly average 2021–2025
Operating cycle
Rental revenueOperating expenses
Where operating cash goes€130.8k of outflows analysed over 2021–2025
VINOVA VIEW

The strongest season is mainly concentrated between April and August

August averages around €5.7k of rental revenue and July around €5.5k, while November and December are materially lower

STRUCTURAL EXPENSES

The largest expense blocks can be identified without invoices

Garden and outdoor work, staff, energy, cleaning / social charges and property tax make up the main recurring expense blocks

INVESTMENTS

Major works should be isolated from the normal forecasting engine

2019–2020 and 2026 contain major exceptional investments that would distort a model if they were not treated separately

Main expense subcategoriesOperating period 2021–2025
Transaction sampleIntentionally compact and scrollable area
Vinova backtest

How much cash could have been put to work

The test looks for the amount that could have been invested until maturity while maintaining the safety buffer throughout the period

Ex-post simulation
RETURN VS IDLE CASH—simulated gross interest
SIMULATED INVESTMENTS—non-overlapping
CUMULATIVE CAPITAL DEPLOYED—including reinvestment cycles
LARGEST INVESTMENT——
Detected investment windowsThe rate changes automatically with the selected maturity
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Important this backtest uses the actual future that occurred to verify whether an investment would have been sustainable, so it is neither a forecast nor a promise of performance · rates, fees and taxation remain assumptions
NEXT MVP STEP

Connect the same engine behind Bridge, then replace hindsight with a real forecast