Skip to main content

AhaSignals PIT

Select financial facts that match a declared historical cutoff, then inspect the period, scope and source version behind each answer. Reconstruct quarterly operating cash flow less cash PP&E without treating cumulative cash flows as a quarter.

Python 3.9 or later. No runtime dependencies. No network requests, telemetry, account or API key required. Version 0.1.0 is an initial alpha release with a deliberately narrow contract.

Install and run

After the release is available on PyPI:

python -m pip install ahasignals-pit==0.1.0
ahasignals-pit input.json
# Equivalent:
python -m ahasignals_pit input.json

For a source checkout, run python -m pip install . from this directory, then:

ahasignals-pit examples/select.json
ahasignals-pit examples/quarterly-cash.json
python -m unittest discover -s tests -v

Both examples are fully synthetic. Their identifiers, amounts, dates, example.org source URL and zero hash do not represent a real issuer or authenticated document. The first selects 120; the second returns quarterly operating cash of 160, cash PP&E of 40 and cash after PP&E of 120 USD. These are arithmetic examples, not investment results.

Python API

import json
from ahasignals_pit import run, select_fact, quarterly_cash

with open('examples/select.json', encoding='utf-8') as stream:
    payload = json.load(stream)
result = select_fact(payload['facts'], payload['query'])
assert result['status'] == 'answer'
print(result['value'], result['inputs'])
# run(payload) dispatches by task: select or quarterly-cash.

The public functions accept JSON-compatible dictionaries and lists. Input field names retain the camelCase contract of the related financial query checker. Output status is answer, withheld or invalid. Never replace a withheld value with zero. The CLI returns exit codes 0, 1 and 2 respectively; it also includes the package version and SHA-256 of the exact input bytes. It accepts a filename or - for stdin, at most 2 MB, and rejects duplicate JSON keys and non-finite constants. Its output includes supplied source references: review inputs before sharing outputs.

Exact fact selection

A query requires:

Field Contract
cik String of exactly 10 ASCII digits
taxonomy, concept, unit Nonempty strings; exact match, no alias or currency conversion
start, end ISO dates; use empty start for an instant fact
dimensions List of {axis, member} objects; unique axes; empty for consolidated scope
cutoff Date and time with a known timezone
mode disclosure-reconstruction or observed-pipeline
accession Optional exact filing filter, ##########-##-######

Every fact needs the identity fields plus finite numeric value, accession, acceptedAt, documentSha256 (64 lowercase hex characters), contextId, and an HTTPS sourceUrl. Values must have absolute magnitude at most 2^53−1. Booleans, NaN and infinity are rejected. Missing or null observedAt is permitted only for disclosure reconstruction. At most 2,000 facts and 32 dimensions per fact are accepted. All supplied facts must have valid required fields, including unmatched facts.

The checker matches the full identity and selects the latest eligible acceptance time. Conflicting values, accessions or hashes at that time produce ambiguous-latest-fact. Duplicate facts with the same value, accession and hash are resolved by context ID. No source file is fetched. A syntactically valid URL, hash or timestamp is not evidence that it is authentic.

Timestamps support 1–9 fractional digits and known offsets through ±14:00. Missing zones, -00:00, leap seconds, invalid calendar dates and years before 1900 are rejected. Comparisons retain nanosecond precision.

Two time modes

  • disclosure-reconstruction: use acceptance timestamps supplied by the caller. This reconstructs disclosure eligibility; it does not establish actual historical system access, market dissemination or tradability.
  • observed-pipeline: also require observation timestamps at or before cutoff and at or after acceptance. Unknown observation time on any matching accepted candidate withholds the answer instead of silently choosing an older fact.

The caller must establish trustworthy timestamps independently. Collecting a document today cannot establish that the system observed it years ago.

Quarterly cash

Call quarterly_cash(facts, request) with cik, fiscalStart, quarterStart, end, cutoff, and mode. Add computedAt in observed-pipeline mode. See examples/quarterly-cash.json for a complete request.

Only consolidated us-gaap whole-USD facts for these two concepts are supported:

  • NetCashProvidedByUsedInOperatingActivities
  • PaymentsToAcquirePropertyPlantAndEquipment, expressed as a positive cash outflow

An exact-quarter duration takes precedence. If none matches, current fiscal YTD minus the period ending immediately before the quarter is used. Missing prior periods withhold an answer. A matching but ineligible or ambiguous direct quarter also withholds rather than falling back. The caller supplies and verifies the issuer's fiscal calendar; the tool only checks date validity, ordering and a 60–120-day quarter length.

All selected facts and filing versions remain in inputs. Different filing vintages may be combined; review their accessions and presentation comparability before use. Fractional cash dollars, out-of-range results and negative derived cash PP&E are withheld. In observed-pipeline mode, computation must occur after all input observations and no later than cutoff.

cashAfterPpe excludes acquisitions, noncash additions, leases and other investment spending. It is not a universal free-cash-flow definition. No price data, factor returns, security universe or backtest performance is supplied.

Research and citation

This package implements financial-query rules. It is not the frozen PIT benchmark scorer and does not reproduce the paper's model scores. Public calibration cases are not held-out evaluation. External datasets and papers retain their own versions and licenses; no third-party document bodies are bundled.

For software use, cite: AhaSignals. AhaSignals PIT, version 0.1.0. Include the source commit and input dataset version used in your analysis. Cite the relevant paper separately when its research is used.

License and scope

Code, documentation, tests and synthetic examples in this distribution: MIT, copyright AhaSignals. No attribution link or network call is required to execute the package. Dataset rights are separate from software rights.

AhaSignals is an independent research publisher, unaffiliated with referenced regulators, issuers and platforms. Third-party names are factual source or compatibility references. Research and education only; no investment, trading, legal, accounting or tax advice. Passing these checks does not certify a backtest or establish predictive value.

Metadata

Release files for ahasignals-pit 0.1.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for ahasignals-pit 0.1.0
File Size Uploaded
ahasignals_pit-0.1.0.tar.gz 11.2 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for ahasignals-pit 0.1.0
File Interpreter ABI Platform
ahasignals_pit-0.1.0-py3-none-any.whl Python 3 none any Details

Total release size: 21.7 kB

Release files / ahasignals_pit-0.1.0.tar.gz

Download URL ahasignals_pit-0.1.0.tar.gz
Size 11.2 kB
Tags Source
SHA-256 checksum
How to use checksums
ed6d9f33d9725491698555d4ca2c235e8335c9b7622b1ad3eebcbfd63b0bd38f
BLAKE2b-256 checksum
How to use checksums
318a655021c83a463ea41d66a931728c8b00a72a82149cc4e3746282a1be10e5
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 1, 2026.

Transparency log

Release files / ahasignals_pit-0.1.0-py3-none-any.whl

Download URL ahasignals_pit-0.1.0-py3-none-any.whl
Size 10.5 kB
Tags Python 3
SHA-256 checksum
How to use checksums
3830e77d8e7411a21bf3f61687309df270fb2e78092efda93e251ad821062417
BLAKE2b-256 checksum
How to use checksums
776b2680fd6defdf110198c876ede88c997def845b6a6f0a412b3f2df303a034
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 1, 2026.

Transparency log

Release history Release notifications | RSS feed

This release

0.1.0 This release

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page