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Point-in-time · SEC EDGAR · 5,214 companies

Fundamentals data
that can't lie to your backtest.

Every value is stamped with the date it actually became public — so your backtest only ever sees what was knowable at the time. No lookahead bias. No silent restatements. Straight from the filings.

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Read the methodology
313,562point-in-time rows
≤ 12 yrsof history
$10–50k/yrwhat incumbents charge
query_asof.py — AAPL live
› as of Feb 2021
Revenue$274.5B
Net income$57.4B
Diluted EPS$3.28
fiscal yearFY2020
↳ became public 2020-10-30
AAPLFY25 revenue$416.2B•AAPLFY25 net income$112.0B•AAPLFY25 EPS$7.46•NVDAFY26 revenue$215.9B•NVDAFY26 net income$120.1B•NVDAFY26 EPS$4.90•MSFTFY25 revenue$281.7B•MSFTFY25 net income$101.8B•MSFTFY25 EPS$13.64•AMZNFY25 revenue$716.9B•AMZNFY25 net income$77.7B•AMZNFY25 EPS$7.17•GOOGLFY25 revenue$402.8B•GOOGLFY25 net income$132.2B•GOOGLFY25 EPS$10.81•AAPLFY25 revenue$416.2B•AAPLFY25 net income$112.0B•AAPLFY25 EPS$7.46•NVDAFY26 revenue$215.9B•NVDAFY26 net income$120.1B•NVDAFY26 EPS$4.90•MSFTFY25 revenue$281.7B•MSFTFY25 net income$101.8B•MSFTFY25 EPS$13.64•AMZNFY25 revenue$716.9B•AMZNFY25 net income$77.7B•AMZNFY25 EPS$7.17•GOOGLFY25 revenue$402.8B•GOOGLFY25 net income$132.2B•GOOGLFY25 EPS$10.81•
▸ the problem

Your backtest gets a 43-day head start it never earned.

A company's fiscal year endson one date, but the numbers don't go publicuntil the 10-K is filed weeks later. Join your data on the period-end date and you're trading on information that didn't exist yet. It quietly inflates every fundamental backtest — right up until you trade it live and the edge evaporates.

Across 40 large caps we measured the gap: fundamentals went public an average of 43 days after the period closed. That gap is the lie. We remove it.

Apple · FY2024
fiscal year ended2024-09-28
naive backtest cheats here — 34 days early for Apple (43-day average)
10-K actually filed2024-11-01
Tradevo Data stamps every value with the filed date — your backtest only ever sees what was real.
▸ scroll through time

The data appears exactly when it was filed.

Apple · as of
Jun 2020
Revenue—
Net income—
Diluted EPS—
no 10-K filed yet
FY2020
FY2021
FY2022
FY2023
FY2024
FY2025
scroll ↓ to move through time
0
US companies
0
point-in-time rows
0
restatements caught
7 × 12
fundamentals × years
▸ what you get

Honest data — and it shows its work.

Every value carries its full history: when it became public, whether it was ever revised, and exactly where it came from.

Point-in-time stamping

Every number is dated to the moment it was actually filed — your backtest only ever sees what was public then. No lookahead, ever.

filed 2024-11-01 · lag 34d

Restatement flags

Know the original value and whether it was later revised — 18,539 restatements caught and labeled.

QA-validated

Per-row quality status. We flag the rows we can't fully trust — never fake them.

Full provenance

The exact SEC XBRL tag behind every single value. Show your work.

Honestly priced

The clean point-in-time data the $10–50k vendors gatekeep — without the gate.

Your format

JSON point-in-time query API + CSV today. Bulk Parquet on the roadmap.

▸ methodology

We show our work.

With data, transparency isthe product. If you can't see how it's built and validated, you can't trust it — so here's exactly how, start to finish.

Read the full methodology
We even publish what we don't know — the oldest-year filing dates we flag rather than fake. A clean dataset tells you its own limits.
  1. 01

    Straight from SEC EDGAR

    Public-domain 10-K filings — free, redistributable, the source of truth.

  2. 02

    Tag resolution

    Each XBRL concept is mapped to the right tag across companies and years — no stale-tag errors.

  3. 03

    Point-in-time stamping

    Every value carries the earliest filing it appeared in — the first date it was actually knowable.

  4. 04

    Restatement detection

    When a later filing revised a number, we keep both the original and the revision, and flag it.

  5. 05

    QA + reliability

    Every row is range-, magnitude-, and date-checked. The few we can't fully trust are flagged — never hidden.

▸ pricing

Start free. Scale when you're ready.

Inspect the data, run it against your own backtests, then plug in the full market.

Free sample

$0

Everything you need to sanity-check the data.

  • 40 large-cap companies · 7 concepts · up to 12 years
  • 3,212 point-in-time rows (CSV)
  • Full methodology + per-row QA
  • Query helper to test it against any date
Get the sample
full market

Full universe

$49/mo

The whole US market, point-in-time.

  • 5,214 companies · 313,562+ rows
  • Point-in-time query API — live now
  • 5,000 API calls/day · full restatement history
  • Quarterly (10-Q) + bulk Parquet — on the roadmap