Skip to main content

xtquant-duck

DuckDB-backed local mock implementation of selected xtquant APIs.

The goal is to let research code switch between real QMT xtquant and a local DuckDB-backed mock by changing only the import. QMT semantics are the canonical reference; unsupported mock behavior raises NotImplementedError instead of silently returning placeholder data.

Install

uv pip install xtquant-duck

For local development:

git clone git@github.com:drunkpig/xtquant-duck.git
cd xtquant-duck
uv sync --all-extras --dev

Basic Usage

Set the DuckDB database path:

$env:QMT_MOCK_DUCKDB = "C:\data-tick\duckdb\qmt_mock.duckdb"

Use the mock package as an xtquant-compatible module:

import xtquant_duck as xtquant

xtdata = xtquant.xtdata

data = xtdata.get_market_data_ex(
    field_list=["time", "open", "high", "low", "close", "volume"],
    stock_list=["600036.SH"],
    period="1d",
    start_time="20220101",
    end_time="20251231",
    dividend_type="front_ratio",
)

The packaged qmt_data_layer module is kept for database build and validation tools. Strategy code should use the xtquant_duck API above so switching back to real miniQMT only changes the import.

Default database path is C:\data-tick\duckdb\qmt_mock.duckdb; override it with QMT_MOCK_DUCKDB.

Documentation

See docs/MOCK_XTQUANT_API.md for supported APIs, parameters, return shapes, and strict unsupported behavior.

The production DuckDB file uses QMT-canonical tables qmt_tick_v1 and qmt_daily_v1; legacy raw_* tables are retained only as rebuild/audit inputs.

Runtime Data Boundary

Installed runtime APIs are only allowed to read canonical QMT-semantics tables:

  • qmt_tick_v1
  • qmt_daily_v1
  • baostock_adjust_factor_events
  • choice_sse50_constituents_2022_2025

raw_tick_v3 and raw_daily_v1 are source-lineage tables for offline import, canonical rebuild, and validation scripts only. Strategy code and xtquant_duck.xtdata must not query them directly. Unit tests scan the runtime packages and fail if these raw table names appear there.

Canonical Rebuild

Canonical tables are rebuilt with fixed source boundaries:

  • 2022-2025 tick: D:\ticks\data-tick\sh_v3 and D:\ticks\data-tick\sz_v3.
  • 2026 tick: D:\百度盘分钟K10年\A50-2026.
  • 2022-2025 daily: vendor raw daily first, then missing code-days backfilled from corrected sh/sz tick.
  • 2026 daily: derived from A50 tick.

QMT volume semantics are lots. During rebuild, sh/sz v3 688* tick and vendor daily rows are converted from shares to lots by dividing by 100; sh/sz non-688 and A50 rows are already lots. A50 startup rows are not allowed into canonical 2022-2025 data.

uv run python scripts\rebuild_qmt_canonical_tables.py --db C:\data-tick\duckdb\qmt_mock.duckdb --rebuild --skip-indexes

Tests

uv run python -m unittest discover -s test -v

The unit tests build a temporary DuckDB database and do not read or write the default production database.

Metadata

Release files for xtquant-duck 0.1.20260705.9

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

Source distribution (sdist)

Source distribution for xtquant-duck 0.1.20260705.9
File Size Uploaded Provenance
xtquant_duck-0.1.20260705.9.tar.gz 36.0 kB With provenance Details

Built distribution (wheel)

Table of built distributions (wheels) for xtquant-duck 0.1.20260705.9
File Interpreter ABI Platform
xtquant_duck-0.1.20260705.9-py3-none-any.whl Python 3 none any Details

Total release size: 48.2 kB

Release files / xtquant_duck-0.1.20260705.9.tar.gz

Download URL xtquant_duck-0.1.20260705.9.tar.gz
Size 36.0 kB
Tags Source
SHA-256 checksum
How to use checksums
2a9405e028057f441a490c574f67b79a6c301676090052461ea53ceea9296cb1
BLAKE2b-256 checksum
How to use checksums
5d98af24514d5403b6f9e2c3487b3ac86d60cce95d43351417b3f20b029e88d1
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/6.1.0 CPython/3.13.12

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 Jul 5, 2026.

Transparency log

Release files / xtquant_duck-0.1.20260705.9-py3-none-any.whl

Download URL xtquant_duck-0.1.20260705.9-py3-none-any.whl
Size 12.3 kB
Tags Python 3
SHA-256 checksum
How to use checksums
2db885f06ff019b2599623cfb348b279549dc3872fd03ae019f256d177dead18
BLAKE2b-256 checksum
How to use checksums
ecd839f5d7f65ac9945eeea0304bec02eacbe4fb25c090459c984315a026cef0
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/6.1.0 CPython/3.13.12

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 Jul 5, 2026.

Transparency log

Security for xtquant-duck 0.1.20260705.9

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.

Full provenance

All 2 files in this release have been uploaded with provenance metadata.

Select from 2 files

Attestation for xtquant_duck-0.1.20260705.9.tar.gz

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 Jul 5, 2026.

Transparency log

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

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