Use Cases

This page illustrates the Asset data model with concrete, real-life examples.

1.Checking Account

Scenario

You manually track your checking account balance.

Asset

Field	Value
Name	Checking Account
Asset Type	CASH
Categories	Bank Accounts, Liquid Assets
Quantity	null
Disposed	false
Tags	liquidity, emergency_fund

Transactions

No transactions (manual tracking only for now).

Balance Snapshots

Snapshot Date	Value	Currency	Source
2024-01-01	10,000	EUR	manual
2024-02-01	10,450	EUR	manual
2024-03-01	9,800	EUR	manual

Portfolio Valuation Rule: Use the latest balance snapshot (€9,800).

2.Wardrobe

Scenario

You track your summer t-shirt collection. These t-shirts are both casual wear AND part of your workout clothes.

Asset

Field	Value
Name	Summer T-Shirts Collection
Asset Type	PERSONAL_PROPERTY
Categories	Clothing > T-Shirts, Athletic Wear, Casual Wear
Quantity	15
Disposed	false
Tags	summer, cotton, breathable

Transactions

Date	Type	Quantity	Unit Price	Currency
2020-06-01	ACQUIRE	10	25	EUR
2023-08-15	ACQUIRE	5	30	EUR

Balance Snapshots

Snapshot Date	Value	Currency	Source
2024-01-01	225	EUR	manual

Total acquisition cost: €400 (10×25 + 5×30)
Current value: €225 (depreciation tracked via snapshot)

3.Real Estate

Scenario

You buy an apartment that serves as both your primary residence AND a rental investment (you rent out one room on Airbnb).

Asset

Field	Value
Name	Apartment Paris 11th
Asset Type	REAL_ESTATE
Categories	Real Estate > Residential > Apartments, Primary Residence, Income Generating Assets
Quantity	1
Disposed	true
Tags	paris, airbnb, partial_rental, sold

Transactions

Date	Type	Quantity	Unit Price	Currency
2015-05-10	ACQUIRE	1	300,000	EUR
2023-09-20	DISPOSE	1	420,000	EUR

Balance Snapshots (Historical)

Snapshot Date	Value	Currency	Source
2018-01-01	330,000	EUR	manual
2021-01-01	380,000	EUR	manual

Realized gain: €120,000 (€420k - €300k)

4. LEGO Set

Scenario

You found a LEGO Star Wars set at home. It’s both a collectible investment AND part of your children’s toy collection.

Asset

Field	Value
Name	LEGO Star Wars Millennium Falcon
Asset Type	PERSONAL_PROPERTY
Categories	Toys > Building Sets > LEGO, Collectibles > Investment Grade, Kids Room Items
Quantity	1
Disposed	false
Tags	star_wars, vintage, unopened, appreciating

Transactions

Date	Type	Quantity	Unit Price	Currency
2022-08-15	ACQUIRE	1	0	EUR

Balance Snapshots

Snapshot Date	Value	Currency	Source
2024-01-01	350	EUR	manual

Acquisition price: €0 (found item)
Current market value: €350

5. Household Furniture

Useful with bulk items.

Scenario

You own 10 identical wooden chairs that serve multiple purposes: dining, office workspace, and guest seating.

Asset

Field	Value
Name	Wooden Dining Chairs
Asset Type	PERSONAL_PROPERTY
Categories	Home > Furniture > Dining, Office Equipment, Multi-Purpose Items
Quantity	10
Disposed	false
Tags	wood, stackable, versatile

Transactions

Date	Type	Quantity	Unit Price	Currency
2020-06-01	ACQUIRE	10	40	EUR

Balance Snapshots

Snapshot Date	Value	Currency	Source
2024-01-01	300	EUR	manual

Total acquisition cost: €400 (10×40)
Current value: €300 (25% depreciation)

6. Mortgage Loan (Liability)

Scenario

You have a mortgage loan on your primary residence. This is a liability (negative asset).

Asset

Field	Value
Name	Mortgage - Paris Apartment
Asset Type	LOAN
Categories	Liabilities > Real Estate Loans, Long-Term Debt
Quantity	null
Disposed	false
Tags	mortgage, primary_residence, fixed_rate

Transactions

Date	Type	Quantity	Unit Price	Currency	Notes
2015-05-10	ACQUIRE	1	-250,000	EUR	Initial loan
2016-01-01	DISPOSE	1	5,000	EUR	Principal payment
2017-01-01	DISPOSE	1	5,200	EUR	Principal payment
2018-01-01	DISPOSE	1	5,400	EUR	Principal payment

Balance Snapshots

Snapshot Date	Value	Currency	Source	Notes
2024-01-01	-220,000	EUR	manual	Remaining debt
2024-02-01	-219,500	EUR	manual	After payment

Liabilities

Liabilities are assets with negative values:

Asset Type	Typical Balance	Portfolio Impact
CASH	Positive	Increases net worth
REAL_ESTATE	Positive	Increases net worth
LOAN	Negative	Decreases net worth
CREDIT_CARD	Negative	Decreases net worth
MORTGAGE	Negative	Decreases net worth

Portfolio Calculation:

Net Worth = Sum of all asset balances (positive + negative)

Example:
  Checking Account:     +€10,000
  Paris Apartment:     +€420,000
  Mortgage Loan:       -€220,000
  ────────────────────────────────
  Net Worth:           +€210,000

Transaction Logic

For a LOAN asset:

ACQUIRE with negative unit_price = Taking out a loan (you owe money)
DISPOSE with positive unit_price = Paying off principal (reducing debt)

Example Flow:

2015-05-10: ACQUIRE 1 × -€250,000 = -€250,000 (loan originated)
2016-01-01: DISPOSE 1 × +€5,000   = -€245,000 (paid €5k principal)
2017-01-01: DISPOSE 1 × +€5,200   = -€239,800 (paid €5.2k principal)

Complete Picture

Assets (Positive):

Checking Account: €10,000
Paris Apartment: €420,000

Liabilities (Negative):

Mortgage Loan: -€220,000
Credit Card: -€2,000

Net Worth:

€10,000 + €420,000 - €220,000 - €2,000 = €208,000

This is tracked via PortfolioSnapshot records.

Track Net Worth Over Time

This is the core workflow in Strata.

Step 1 — Add or update your assets

Create assets for everything you own. Set the right asset type, categories, and tags. For liabilities (loans, mortgages), use asset type LOAN.

Step 2 — Enter asset snapshots

For each asset, enter the current value as an AssetSnapshot. Loans use negative values (e.g., -€180,000 for a mortgage remaining balance).

Asset	Latest Snapshot
Checking Account	+€9,800
Apartment Paris	+€420,000
Mortgage Loan	-€180,000
LEGO Millennium Falcon	+€350
Wooden Chairs	+€300

Step 3 — Take a portfolio snapshot

POST to /api/v1/portfolio-snapshots — Strata sums the latest AssetSnapshot per non-disposed asset and saves the result as a PortfolioSnapshot.

Net Worth = +€9,800 + €420,000 − €180,000 + €350 + €300 = +€250,450

Step 4 — Track over time

Repeat steps 2–3 monthly (or whenever values change significantly). The dashboard chart shows net worth evolution across all PortfolioSnapshot records.