Skip to main content

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

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-0.6.29-cp312-cp312-win_amd64.whl (30.6 MB view details)

Uploaded CPython 3.12Windows x86-64

deepquant-0.6.29-cp312-cp312-manylinux_2_17_x86_64.whl (38.0 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.17+ x86-64

deepquant-0.6.29-cp312-cp312-macosx_11_0_arm64.whl (13.5 MB view details)

Uploaded CPython 3.12macOS 11.0+ ARM64

deepquant-0.6.29-cp311-cp311-win_amd64.whl (30.9 MB view details)

Uploaded CPython 3.11Windows x86-64

deepquant-0.6.29-cp311-cp311-manylinux_2_17_x86_64.whl (38.0 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ x86-64

deepquant-0.6.29-cp311-cp311-macosx_11_0_arm64.whl (13.6 MB view details)

Uploaded CPython 3.11macOS 11.0+ ARM64

deepquant-0.6.29-cp310-cp310-win_amd64.whl (30.9 MB view details)

Uploaded CPython 3.10Windows x86-64

deepquant-0.6.29-cp310-cp310-manylinux_2_17_x86_64.whl (37.9 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ x86-64

deepquant-0.6.29-cp310-cp310-macosx_11_0_arm64.whl (13.7 MB view details)

Uploaded CPython 3.10macOS 11.0+ ARM64

deepquant-0.6.29-cp39-cp39-win_amd64.whl (30.9 MB view details)

Uploaded CPython 3.9Windows x86-64

deepquant-0.6.29-cp39-cp39-manylinux_2_17_x86_64.whl (38.0 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ x86-64

deepquant-0.6.29-cp39-cp39-macosx_11_0_arm64.whl (13.7 MB view details)

Uploaded CPython 3.9macOS 11.0+ ARM64

deepquant-0.6.29-cp38-cp38-win_amd64.whl (31.0 MB view details)

Uploaded CPython 3.8Windows x86-64

deepquant-0.6.29-cp38-cp38-manylinux_2_17_x86_64.whl (38.2 MB view details)

Uploaded CPython 3.8manylinux: glibc 2.17+ x86-64

deepquant-0.6.29-cp38-cp38-macosx_11_0_arm64.whl (14.5 MB view details)

Uploaded CPython 3.8macOS 11.0+ ARM64

File details

Details for the file deepquant-0.6.29-cp312-cp312-win_amd64.whl.

File metadata

  • Download URL: deepquant-0.6.29-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/6.2.0 CPython/3.12.7

File hashes

Hashes for deepquant-0.6.29-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 3014230697eb00dd28e19a4b07e41186f07ecad9f6392380c9f3cb5e9655a135
MD5 de257851798769de99e734e74116ad62
BLAKE2b-256 50e3948d3fdf84f37b829ce2446b40fc46014dc24851fff4d23252e0da37cf5f

See more details on using hashes here.

File details

Details for the file deepquant-0.6.29-cp312-cp312-manylinux_2_17_x86_64.whl.

File metadata

File hashes

Hashes for deepquant-0.6.29-cp312-cp312-manylinux_2_17_x86_64.whl
Algorithm Hash digest
SHA256 b7b37b336a18c90d9cc2f823caae413948b13f9f2a9e16ad9db08dad9ea2a620
MD5 251a23974ed4cfd8ee8baa11a45db610
BLAKE2b-256 0c63cd6e39806da9013149101aa021fca9aa84970087d206c437a88ab5e8958e

See more details on using hashes here.

File details

Details for the file deepquant-0.6.29-cp312-cp312-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for deepquant-0.6.29-cp312-cp312-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 8776fe1be289ce856d732b706b044b9e1edae95e25bd01b7a9e0367623a8d724
MD5 38aa9da89999fb719c8febb44fb95b8f
BLAKE2b-256 81380f03f0916d6803b2923e25437512ad686d396444f89abeae80b718aef43c

See more details on using hashes here.

File details

Details for the file deepquant-0.6.29-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: deepquant-0.6.29-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/6.2.0 CPython/3.12.7

File hashes

Hashes for deepquant-0.6.29-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 33d0cb4c1cc8fc97cf41ad7197bd827dcdfee9d83839b278c72db1bea1e29a04
MD5 053f58f6cf3e0a8721bba060442c9d16
BLAKE2b-256 f52162ebf12b0567b52985f8b098b44e6564b959858db66124134dafa74e43cb

See more details on using hashes here.

File details

Details for the file deepquant-0.6.29-cp311-cp311-manylinux_2_17_x86_64.whl.

File metadata

File hashes

Hashes for deepquant-0.6.29-cp311-cp311-manylinux_2_17_x86_64.whl
Algorithm Hash digest
SHA256 06faface69c87cad23199489a42d783c3adc73621d872acbc57e9fd06947cda2
MD5 02d499035492d209bf84530dfcfb4c45
BLAKE2b-256 71665463458577c332111a6af809f398e3b81981613df841156c39eae3258a05

See more details on using hashes here.

File details

Details for the file deepquant-0.6.29-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for deepquant-0.6.29-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 eb90a9a5524256d64f95b17770a249862fc0f11bbb89d4086ce320193410e8fb
MD5 6d633cf6174af47db421c5d6d9c9a91f
BLAKE2b-256 774c9208a3922fe1cd327ef5c728285954332fe2aa739e61e91ec74dee77c872

See more details on using hashes here.

File details

Details for the file deepquant-0.6.29-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: deepquant-0.6.29-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/6.2.0 CPython/3.12.7

File hashes

Hashes for deepquant-0.6.29-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 eceeaf1c775f2989da80f3b826f56170a88eaa9f85e5804c0360bcdf15203347
MD5 7ee63cca38b8ae7f1bf2a62a0fa7c01a
BLAKE2b-256 88909935d7730728aafbbf0870af0c4e0ca479237b146100e8073f6774103a86

See more details on using hashes here.

File details

Details for the file deepquant-0.6.29-cp310-cp310-manylinux_2_17_x86_64.whl.

File metadata

File hashes

Hashes for deepquant-0.6.29-cp310-cp310-manylinux_2_17_x86_64.whl
Algorithm Hash digest
SHA256 f054372e007d28909d4b699a0f447cb59ebad5c8737a941bc3a8d3e12959652c
MD5 7aa373947639a0c3aa6ea9dddc4a970d
BLAKE2b-256 0668a8747a6da537aceef5c1f62b777f5b4cb2f8a1f499b9acd94a218f6a5b34

See more details on using hashes here.

File details

Details for the file deepquant-0.6.29-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for deepquant-0.6.29-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 0673366e04f98bf08d77ca6d8e90372f59c5a191cb079d3d61950fa834d47d94
MD5 d91b2dfc1ff7a917ae43b510c822712a
BLAKE2b-256 4b2d8c2aa65f83c30f71a856cc5b6ecf0d7783a33574be95639d278e20051e0d

See more details on using hashes here.

File details

Details for the file deepquant-0.6.29-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: deepquant-0.6.29-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/6.2.0 CPython/3.12.7

File hashes

Hashes for deepquant-0.6.29-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 be69eef6bdc5a82372bc91c9c89b86c7d2b45640f057d760da50c4fa936341e9
MD5 5434e191883c5279a110b63ccf55f36a
BLAKE2b-256 543eabde401cabe3fa6e542f59468950277bd94fe90a3c709221c4ae673e7936

See more details on using hashes here.

File details

Details for the file deepquant-0.6.29-cp39-cp39-manylinux_2_17_x86_64.whl.

File metadata

File hashes

Hashes for deepquant-0.6.29-cp39-cp39-manylinux_2_17_x86_64.whl
Algorithm Hash digest
SHA256 c1b52c91ced2560ce31973715680622532c6919614b4abc8077cf7742a60adce
MD5 6d0e10b1641c682ad6b91a565a636a74
BLAKE2b-256 6a9ad37895d311f3cb94f37684f2746fb4b4d90d81c98ce9c8515dce3a64d95c

See more details on using hashes here.

File details

Details for the file deepquant-0.6.29-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for deepquant-0.6.29-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 7e4583d526310fef944fdf0e8ac1e93f56981cd484fe45393cd7a8da8b834826
MD5 df6b937644017ebd107fdc8f3f8a10b8
BLAKE2b-256 f3145f065f163f771f4f86fa19cd87791c7fb9f935fe928f930b37f355bc90ba

See more details on using hashes here.

File details

Details for the file deepquant-0.6.29-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: deepquant-0.6.29-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/6.2.0 CPython/3.12.7

File hashes

Hashes for deepquant-0.6.29-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 4433adbf17ee31a334a7bd87361567f42d6da3ded8008fec2fa06b4e75231303
MD5 623bfbff6ba80b06def485e345ede5b1
BLAKE2b-256 bb8ff220cf69f7788bcf25b55a915893f17b62fbe658ef89d0c728332e7ccab7

See more details on using hashes here.

File details

Details for the file deepquant-0.6.29-cp38-cp38-manylinux_2_17_x86_64.whl.

File metadata

File hashes

Hashes for deepquant-0.6.29-cp38-cp38-manylinux_2_17_x86_64.whl
Algorithm Hash digest
SHA256 1c9ab784842a772d3a7114c4917938195e61b830e657b03c6ffff4f37adf415f
MD5 07884165e8dd5f866e789415907a14fc
BLAKE2b-256 210323d7daa771205ee3a85100d0d0d6bd792907f56fe1f368d846c9a0722a4c

See more details on using hashes here.

File details

Details for the file deepquant-0.6.29-cp38-cp38-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for deepquant-0.6.29-cp38-cp38-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 1a0b9935db4a40bc75951b5df67dcb731b72e090c710d5e881d433518b75db49
MD5 10035a5ca37bad95bf7e3d2ffef4eb48
BLAKE2b-256 e7056dbbe9638001e1ef7f1378d2d91510dfa85cdfe3b367b84caa33a2140079

See more details on using hashes here.

Release history Release notifications | RSS feed

This release

0.6.29 This release

15 files

0.6.27

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