Financial Portfolio Holdings History
This dataset provides a comprehensive time series record of synthetic investment portfolio holdings, including detailed transactions, valuations, risk metrics, and attribution factors. It is ideal for portfolio analytics, risk modeling, and performance attribution studies, enabling in-depth analysis of investment strategies and exposures over time.
Sample rows
preview · 8 of 201 rows · all 21 columns| portfolio_idstring | instrument_typestring | quantityfloat | portfolio_namestring | holding_idstring | as_of_datedate | instrument_idstring | instrument_namestring | currencystring | market_valuefloat | cost_basisfloat | transaction_idstring | transaction_typestring | transaction_amountfloat | transaction_datedate | counterpartystring | accrued_incomefloat | valuation_sourcestring | risk_metricsstring | notesstring | attribution_factorsstring |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| PF10001 | equity | 12000 | Global Equity Growth | HLD-A101 | 2024-03-31 | AAPL-US | Apple Inc. | USD | 2340000 | 1980000 | T1000001 | buy | 1200000 | 2024-03-30 | Morgan Stanley | 220 | market | VaR: 9500; beta: 1.2 | Initial buy for portfolio expansion. | sector: Technology; region: North America; style: Growth |
| PF10002 | equity | 8000 | Wealth Builder | HLD-B102 | 2024-03-31 | MSFT-US | Microsoft Corporation | USD | 2160000 | 1480000 | T1000002 | buy | 800000 | 2024-03-29 | Goldman Sachs | 185 | market | VaR: 8800; beta: 1.06 | Monthly position increase. | sector: Technology; region: North America; style: Growth |
| PF10003 | etf | 2500 | Dividend Harvest | HLD-C103 | 2024-03-31 | VTI-US | Vanguard Total Stock Market ETF | USD | 590000 | 570000 | T1000003 | buy | 250000 | 2024-03-28 | JPMorgan | 70 | market | VaR: 2400; beta: 0.99 | ETF broad market exposure. | sector: Equity; region: North America; style: Index |
| PF20001 | bond | 500000 | Conservative Bonds | HLD-D104 | 2024-03-31 | US9128285M81 | US Treasury Note 2.75% 2025 | USD | 511000 | 497000 | T1000004 | buy | 500000 | 2024-03-20 | Barclays Plc | 350 | custodian | VaR: 8000; duration: 1.8 | Core bond allocation. | sector: Government; region: North America; style: Fixed Income |
| PF20002 | bond | 95000 | Emerging Market Bonds | HLD-E105 | 2024-03-31 | BRSTNBRL1 | Brazilian Sovereign 6.25% 2029 | BRL | 720000 | 675000 | T1000005 | buy | 700000 | 2024-03-18 | Itaú BBA | 430 | model | VaR: 11200; duration: 6.5 | Long-dated EM exposure. | sector: Sovereign; region: Latin America; style: EM Debt |
| PF30001 | cash | 1600000 | Money Market | HLD-F106 | 2024-03-31 | CASH-USD | US Dollar Cash | USD | 1600000 | 1600000 | T1000006 | transfer_in | 800000 | 2024-03-31 | HSBC Bank | 0 | custodian | VaR: 0 | Quarterly cash deposit. | sector: Cash; region: North America; style: Liquidity |
| PF10001 | equity | 5000 | Global Equity Growth | HLD-A107 | 2024-03-31 | GOOGL-US | Alphabet Inc. Class A | USD | 820000 | 670000 | T1000007 | buy | 500000 | 2024-03-25 | Citigroup | 55 | market | VaR: 3700; beta: 1.18 | Added large cap tech. | sector: Technology; region: North America; style: Growth |
| PF10002 | equity | 2000 | Wealth Builder | HLD-B108 | 2024-02-29 | TSLA-US | Tesla Inc. | USD | 405000 | 310000 | T1000008 | buy | 200000 | 2024-02-28 | JPMorgan | 0 | market | VaR: 2200; beta: 1.3 | High-volatility addition. | sector: Industrial; region: North America; style: Growth |
| PF20002 | bond | 65000 | Emerging Market Bonds | HLD-E109 | 2024-02-29 | XS0982710876 | Petrobras 5.75% 2029 | USD | 650000 | 645000 | T1000009 | buy | 640000 | 2024-02-15 | Santander Brasil | 85 | model | VaR: 9900; duration: 5.7 | Petrobras bond buy. | sector: Corporate; region: Latin America; style: EM Debt |
| PF30001 | cash | 20000000 | Money Market | HLD-F110 | 2024-02-29 | CASH-JPY | Japanese Yen Cash | JPY | 20000000 | 20000000 | T1000010 | transfer_in | 10000000 | 2024-02-29 | MUFG Bank | 0 | custodian | VaR: 0 | JPY cash deposit. | sector: Cash; region: Asia; style: Liquidity |
| PF10003 | etf | 1100 | Dividend Harvest | HLD-C111 | 2024-01-31 | SPY-US | SPDR S&P 500 ETF Trust | USD | 535000 | 520000 | T1000011 | buy | 110000 | 2024-01-30 | Bank of America | 13 | market | VaR: 1950; beta: 1.03 | ETF S&P exposure. | sector: Equity; region: North America; style: Index |
| PF50001 | mutual_fund | 3100 | Private Wealth | HLD-G112 | 2024-03-31 | CH0009980894 | Pictet Multi Asset Fund | CHF | 129000 | 125000 | T1000012 | buy | 62000 | 2024-03-29 | Credit Suisse | 15 | model | ESG_Score: 92; beta: 0.88 | Diversified MF buy. | sector: Multi-Asset; region: Europe; style: Balanced |
| PF50002 | etf | 1600 | Family Office | HLD-G113 | 2024-03-31 | IE00B4L5Y983 | iShares Core MSCI World UCITS ETF | EUR | 119000 | 118000 | T1000013 | buy | 59000 | 2024-03-29 | State Street | 7 | market | VaR: 520; beta: 0.91 | World index ETF buy. | sector: Equity; region: Europe; style: Index |
| PF90001 | other | 2 | Alternative Assets | HLD-H114 | 2024-03-31 | OUTLIER0001 | Unlisted Private Equity | ZWD | 9000 | 8500 | T1000014 | other | 9000 | 2024-03-30 | Unknown | 0 | other | weirdness_score: 1; volatility: 0.18 | Special asset, illiquid. | sector: Other; region: Unknown; style: Private |
| PF90002 | other | 8 | Model Portfolio Outlier | HLD-H115 | 2024-03-31 | XAUUSD-GOLD | Physical Gold | USD | 18500 | 16000 | T1000015 | other | 18000 | 2024-03-29 | LBMA | 0 | market | weirdness_score: 1; volatility: 0.19 | Commodity allocation. | sector: Commodity; region: Global; style: Physical |
| PF10004 | equity | 4000 | Global Equity Value | HLD-I116 | 2024-03-31 | SIE.DE | Siemens AG | EUR | 590000 | 555000 | T1000016 | buy | 400000 | 2024-03-27 | Deutsche Bank | 24 | market | VaR: 1800; beta: 0.92 | European equity buy. | sector: Industrial; region: Europe; style: Value |
| PF10005 | equity | 2300 | Growth Opportunities | HLD-J117 | 2024-03-31 | AMZN-US | Amazon.com Inc. | USD | 765000 | 600000 | T1000017 | buy | 230000 | 2024-03-20 | BNP Paribas | 0 | market | VaR: 3900; beta: 1.11 | Growth stock addition. | sector: Technology; region: North America; style: Growth |
| PF20003 | bond | 85000 | Euro Bonds | HLD-K118 | 2024-03-31 | DE0001135275 | Bund 0.5% 2027 | EUR | 940000 | 920000 | T1000018 | buy | 930000 | 2024-03-18 | Commerzbank | 170 | custodian | VaR: 6200; duration: 3.2 | German bund exposure. | sector: Government; region: Europe; style: Fixed Income |
| PF50001 | equity | 1500 | Private Wealth | HLD-G119 | 2024-02-29 | US00162Q1040 | Alcoa Corporation | USD | 53000 | 53200 | blank | blank | blank | blank | blank | 0 | market | VaR: 190; beta: 1.05 | Small cap holding. | sector: Industrial; region: North America; style: Value |
| PF50002 | mutual_fund | 700 | Family Office | HLD-G120 | 2024-02-29 | LU1670724373 | JPMorgan Global Income Fund | EUR | 47500 | 47000 | blank | blank | blank | blank | blank | 2 | model | ESG_Score: 89; beta: 0.93 | blank | sector: Multi-Asset; region: Europe; style: Income |
What the 201 rows show
from the 201-row sampleCash (instrument type) stands out: mean quantity is 6,036,061, against 61,009 for the rest.
- 6,700median quantity
- 4valuation sources
- 5transaction types
- 9currencies
- 320,000median market_
value - 310,000median cost_
basis
Median 6,700, from 0.12 to 62,000,000.
- string 14
- float 5
- date 2
Columns
21 columns in three groups| column | type | description | example |
|---|---|---|---|
| Text 14 columns | |||
portfolio_id | string | Unique identifier for the investment portfolio. | PF10001 |
portfolio_name | string | Descriptive name of the investment portfolio.optional | Global Equity Growth |
holding_id | string | Unique identifier for a specific holding within a portfolio.unique | HLD-A101 |
instrument_id | string | Unique identifier for the financial instrument (e.g., ISIN, CUSIP, Ticker). | AAPL-US |
instrument_type | string | Type of financial instrument (e.g., equity, bond, ETF, mutual fund, cash).7 values | equity |
instrument_name | string | Full name of the financial instrument.optional | Apple Inc. |
currency | string | ISO 4217 currency code for the holding or transaction (e.g., USD, EUR).9 currencies | USD |
transaction_id | string | Unique identifier for the transaction (if applicable).unique · optional | T1000001 |
transaction_type | string | Type of transaction (e.g., buy, sell, dividend, interest, transfer, fee).8 values · optional | buy |
counterparty | string | Name or identifier of the counterparty involved in the transaction, if applicable.optional | Morgan Stanley |
valuation_source | string | Source of the valuation (e.g., market, model, custodian).market · model · custodian · other · optional | market |
risk_metrics | string | JSON object containing risk metrics (e.g., VaR, beta, duration) for the holding as of the specified date.optional | VaR: 9500; beta: 1.2 |
attribution_factors | string | JSON object containing attribution factors (e.g., sector, region, style) for analytics.optional | sector: Technology; regio… |
notes | string | Free-text notes or comments about the holding or transaction.optional | Core bond allocation. |
| Numbers 5 columns | |||
quantity | float | Number of units held or transacted for the instrument.0 or more | 12000 |
market_value | float | Total market value of the holding as of the specified date, in the given currency.0 or more | 2340000 |
cost_basis | float | Original cost of the holding, in the given currency.0 or more · optional | 1980000 |
transaction_amount | float | Amount involved in the transaction, in the given currency.optional | 1200000 |
accrued_income | float | Accrued but unpaid income (e.g., interest, dividends) as of the specified date.optional | 220 |
| Dates and times 2 columns | |||
as_of_date | date | The date for which the holding, valuation, or transaction is recorded. | 2024-03-31 |
transaction_date | date | Date on which the transaction occurred.optional | 2024-03-30 |
Use it for
A finance dashboard
Quantity by instrument_
type and a breakdown of portfolio_ name. Excel, Power BI or Tableau. Why do the 31 cash rows have a mean quantity of 6,036,061?
A root-cause class exercise
Hand out the rows and one question. The answer is in the data, not in the brief.
- Portfolios201PF1000112000equityPF100028000equityPF100032500etf
A software demo
Believable portfolios with portfolio_
name, holding_ id and as_ of_ date to fill a screen in front of a buyer.
blueprint · financial-portfolio-holdings-history
Behind this dataset
Same schema. As many rows as you need.
These 201 rows came out of a blueprint — 21 columns with generation rules behind each one. Open it in Data Factory to retune a column, add your own, wire in foreign keys, and run it at the size you actually need.
- Each portfolio assigned a unique ID
- Track asset type, position, and transaction type
- Daily valuations and returns included
- Include benchmark and sector breakdown
- Simulate contributions, withdrawals, and rebalancing
1 credit per row. Preview 20 rows free. Buy rows for the full run.
- Exports
- CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
- Licence
- yours to use, including commercially
- API slug
- financial-portfolio-holdings-history