deepquantSDK

投资决策平台因子数据SDK

Getting started

文档说明

deepquant包结构

deepquant
├── data  # 数据接口
│   ├── gqclient   # 基础框架
│   ├── __init__.py
│   ├── interface  # 数据接口
│   ├── proto      # pb协议
│   └── utils
├── factor # 因子分析
├── oplib  # 金融函数库
├── swordfish.libs # 金融函数库相关so
├── __init__.py
├── samples # 示例代码
└── setup.py

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Newer release available (0.6.29)

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for onequant from gravatar.com onequant

Credits

Author: cgs

License

MIT License

Requires

Python >=3.8

Provides Extra

dev

Classifiers

Report project as malware

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

deepquant-0.6.27-cp312-cp312-win_amd64.whl (30.6 MB view details)

Uploaded CPython 3.12Windows x86-64

deepquant-0.6.27-cp312-cp312-manylinux_2_17_x86_64.whl (38.0 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.17+ x86-64

deepquant-0.6.27-cp311-cp311-win_amd64.whl (30.9 MB view details)

Uploaded CPython 3.11Windows x86-64

deepquant-0.6.27-cp311-cp311-manylinux_2_17_x86_64.whl (38.0 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ x86-64

deepquant-0.6.27-cp310-cp310-win_amd64.whl (30.9 MB view details)

Uploaded CPython 3.10Windows x86-64

deepquant-0.6.27-cp310-cp310-manylinux_2_17_x86_64.whl (37.9 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ x86-64

deepquant-0.6.27-cp39-cp39-win_amd64.whl (30.9 MB view details)

Uploaded CPython 3.9Windows x86-64

deepquant-0.6.27-cp39-cp39-manylinux_2_17_x86_64.whl (38.0 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ x86-64

deepquant-0.6.27-cp38-cp38-win_amd64.whl (31.0 MB view details)

Uploaded CPython 3.8Windows x86-64

deepquant-0.6.27-cp38-cp38-manylinux_2_17_x86_64.whl (38.2 MB view details)

Uploaded CPython 3.8manylinux: glibc 2.17+ x86-64

File details

Details for the file deepquant-0.6.27-cp312-cp312-win_amd64.whl.

File metadata

  • Download URL: deepquant-0.6.27-cp312-cp312-win_amd64.whl
  • Upload date:
  • Size: 30.6 MB
  • Tags: CPython 3.12, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.8.20

File hashes

Hashes for deepquant-0.6.27-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 beec0d3b432049d30890966b761ae03335161725db27cca8d9be2bced2676e16
MD5 6c1b4706d3711cee31d3e4f8f3273fec
BLAKE2b-256 b2dec764ff1bd1e9be2995c4b01bdc32ba20e2061ad3e564c18613bf3d44da2a

See more details on using hashes here.

File details

Details for the file deepquant-0.6.27-cp312-cp312-manylinux_2_17_x86_64.whl.

File metadata

File hashes

Hashes for deepquant-0.6.27-cp312-cp312-manylinux_2_17_x86_64.whl
Algorithm Hash digest
SHA256 91d927d24421248af97b6990d85831bb2b9052bb3dc1b128671fb86a5f54aea6
MD5 3f918eb412ae62f3a35ac065d6f7c1ec
BLAKE2b-256 a2c1dc6df6264be0e0e06a29d2b2b000c948f4b7e52ed637c4ab93186fb10e10

See more details on using hashes here.

File details

Details for the file deepquant-0.6.27-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: deepquant-0.6.27-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 30.9 MB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.8.20

File hashes

Hashes for deepquant-0.6.27-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 8bcbcdcae98bf66d401b9db682f3f70366634c4655f626156514f0f14ad69bac
MD5 2032684dc0c7c63f5af2f56e1e48c383
BLAKE2b-256 6e9179ce2a2a531ea79f1223b59c6e1bf5b41748b4f405d7916a881601597caa

See more details on using hashes here.

File details

Details for the file deepquant-0.6.27-cp311-cp311-manylinux_2_17_x86_64.whl.

File metadata

File hashes

Hashes for deepquant-0.6.27-cp311-cp311-manylinux_2_17_x86_64.whl
Algorithm Hash digest
SHA256 1a369761067a63e0ad31154e7a36af9ed70d63205aeb58deb8739e2c8ffbe28d
MD5 aa4da42097c65a6acd8797b4f1c46ee5
BLAKE2b-256 8f0c5f108da637eb07e96c6cbc2569d091d7fa7c6221616bca7e7aaf5b64e22f

See more details on using hashes here.

File details

Details for the file deepquant-0.6.27-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: deepquant-0.6.27-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 30.9 MB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.8.20

File hashes

Hashes for deepquant-0.6.27-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 9762f8b5b170082ee2d435c06a20ce0576ac6da99be0b1a50621532c1d8d1602
MD5 7a13a0668f9e6a0886f71c0f1366a25c
BLAKE2b-256 110d880983c20318e1c2f4a0cd68cbf3e1d16f48d98f6ed71c8fd660e1139a54

See more details on using hashes here.

File details

Details for the file deepquant-0.6.27-cp310-cp310-manylinux_2_17_x86_64.whl.

File metadata

File hashes

Hashes for deepquant-0.6.27-cp310-cp310-manylinux_2_17_x86_64.whl
Algorithm Hash digest
SHA256 b4678de127dabe60720d7bdc192edf272e6bf9e98d46b9aef9969e09eeec0594
MD5 15e5d83cc65f9007693d5204783416c5
BLAKE2b-256 910b3da50a3eebad1bb9c31626547060a8bcd0260d09276efa9fea872ea0c84b

See more details on using hashes here.

File details

Details for the file deepquant-0.6.27-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: deepquant-0.6.27-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 30.9 MB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.8.20

File hashes

Hashes for deepquant-0.6.27-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 7adbceff72b8b38ccbd68c94129e45b53864270f91113928e4ebac8c8817a6e8
MD5 011fe626a77bc4c5def59dbd5177ba5c
BLAKE2b-256 83ff3e6dacddaa4433cdf7e46ec4d520931c11bdc939b772e498d02a89149b65

See more details on using hashes here.

File details

Details for the file deepquant-0.6.27-cp39-cp39-manylinux_2_17_x86_64.whl.

File metadata

File hashes

Hashes for deepquant-0.6.27-cp39-cp39-manylinux_2_17_x86_64.whl
Algorithm Hash digest
SHA256 45858d42ff524b679301bd2fe5d186b3ca93a336440390ffa5f8791e4e089c87
MD5 55f728802554f10239f83b9fdef17198
BLAKE2b-256 0038f90f5861a42e88030e8553584bafefe9f2954822e4cc5673be903b00e73c

See more details on using hashes here.

File details

Details for the file deepquant-0.6.27-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: deepquant-0.6.27-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 31.0 MB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.8.20

File hashes

Hashes for deepquant-0.6.27-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 b8ebad8b6dba76ace5a203790f559e5c9cf752d5bc5cca4266aaa1f1703a62f2
MD5 8619c0e05b8d20b64d03fa0de7eabd53
BLAKE2b-256 e05e8c3b749d8dbb5bf8eb3160e92ad885bc6b54a3dad3783efbab30ebe69e0a

See more details on using hashes here.

File details

Details for the file deepquant-0.6.27-cp38-cp38-manylinux_2_17_x86_64.whl.

File metadata

File hashes

Hashes for deepquant-0.6.27-cp38-cp38-manylinux_2_17_x86_64.whl
Algorithm Hash digest
SHA256 fdbc1b66723f91556d5f6e606ce2f7e26dbf963de710fa01904a5554d4aaf054
MD5 8d59547798b62c8e8215b7269ac78e27
BLAKE2b-256 21f17e9b6a2a94c7528fa8e24988fc03ff92ed1a88f049a7fa95340fcb128c55

See more details on using hashes here.

Release history Release notifications | RSS feed

0.6.29

15 files

This release

0.6.27 This release

10 files

0.6.24

15 files

0.6.20

15 files

0.6.18

10 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