Reading historical value from the recorded ledger
Choose completed UTC days and review actual dated holdings, cash and original prices. The curve reconstructs value from the current recorded ledger; it is neither investment return nor today’s basket projected into the past.
1. Choose an interval and load daily ledger states
In Portfolio open Historical portfolio value and switch from Unified history to Original stock view. Enter From and Through inclusive, at most 90 completed UTC days. Load daily ledger states reads one owned batch of daily projections from the same complete journal; it is not 90 separate price reads. Each cutoff is 23:59:59.999 UTC, not an exchange closing-trade timestamp.
Today’s or a future incomplete UTC day is not used. Calculation follows recorded events effective at each cutoff, including dated cash and positions already closed today. It introduces neither another browser ledger nor today’s quantities in the past.
2. Review sources for closed positions too
From the roster held during the interval, include assets you no longer hold today. Use the exact catalogue candidate, explicitly read history and review the separate native listing, type, currency and one-share unit. Your unit confirmation is not independent proof of a SEC issuer-to-price-provider join.
The source is a fixed original 3mo history, with at most eight distinct sources. Its actual coverage may differ from the chosen interval; dates before source coverage remain gaps. This initial view does not supply historical crypto or FX by borrowing a current price or today’s fixing.
3. Explicitly apply historical valuation
After review choose Apply historical valuation. Each day uses actual quantities and cash from its daily projection, the latest eligible completed original Close and its exact time rule. Sources, interval and ledger bind one report; a draft change does not silently recalculate it.
A price may be at most seven days old. Completion requires the relevant source-reported session end or conservatively timestamp plus 24 hours; this is not a verified historical close clock. A latest null is not bypassed with an older number. A weekend may retain an eligible earlier real point with explicit age, but no weekend observation is fabricated. An unresolved recorded split-basis change remains a gap.
4. Read one unit and honest coverage
Use the native-unit selector to choose the chart’s currency or unit; one axis does not mix USD, GBP, GBp or other tokens. A known-portion curve is not a full value. A complete base total exists only on days when every valued position and cash balance exactly matches the portfolio base unit; otherwise it has a gap. All daily states retain other native totals and coverage reasons.
Value changes are not automatically profit. A deposit is a contribution, not investment return; event markers are actual records from that day, not automatically external cash flows alone. The view does not calculate TWR, CAGR, performance drawdown or historical FX PnL.
5. Inspect a dated state and original point
Open Day detail from the chart or complete table. Review dated positions, cash accounts, actual events, exact selected price/unit, age and gap reason. Original Close and separately reported Adj Close are not an application split adjustment or proof of dividend total return.
This is the current recorded ledger reconstructed at an economic cutoff. Later recorded corrections and later captured sources may contribute to today’s reconstruction; the report therefore does not claim what was known then or complete corporate-action coverage.
6. Export the whole interval, not just a chart point
Whole value history JSON/CSV retains original economic inputs once, all daily projections, holdings, cash, prices, gaps, totals and the manifest. A selected day, native unit or page does not narrow the file. Current owner/session, the same ledger and every same source original are rechecked before export.
Changing the interval, mapping, ledger or admission requires explicit renewed review. The file contains private financial inputs, conveys no current access authority and is neither a canonical Snapshot nor public sharing.
This is a guide to Datisto. Private features require sign-in and access to your own data. Personal models use your assumptions; availability and permitted use of source data are checked with the particular result. This is not investment advice.