Skip to main content

No project description provided

Project description

Build Coverage Status pre-commit

PyPI PyPI - Python Version PyPI - Format PyPI - License Documentation Status

Symbology Normalization (symbologyl2-py)

Introduction

Utility functions for parsing, normalizing, and translating between various capital market symbology types. This library is a thin wrapper over the symbologyl2 library, written in rust.

Current Support

  • US equities
    • CMS Concatenated/Suffix
    • Nasdaq Integrated
    • CQS (NYSE/CTA plan)

Development

poetry shell
maturin develop

Project details


Download files

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

Source Distribution

symbologyl2-0.1.1.tar.gz (23.9 kB view details)

Uploaded Source

Built Distributions

symbologyl2-0.1.1-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.1 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

symbologyl2-0.1.1-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.1 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

symbologyl2-0.1.1-cp311-none-win_amd64.whl (143.9 kB view details)

Uploaded CPython 3.11 Windows x86-64

symbologyl2-0.1.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.1 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

symbologyl2-0.1.1-cp311-cp311-macosx_10_9_x86_64.macosx_11_0_arm64.macosx_10_9_universal2.whl (506.7 kB view details)

Uploaded CPython 3.11 macOS 10.9+ universal2 (ARM64, x86-64) macOS 10.9+ x86-64 macOS 11.0+ ARM64

symbologyl2-0.1.1-cp310-none-win_amd64.whl (143.9 kB view details)

Uploaded CPython 3.10 Windows x86-64

symbologyl2-0.1.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.1 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

symbologyl2-0.1.1-cp310-cp310-macosx_10_9_x86_64.macosx_11_0_arm64.macosx_10_9_universal2.whl (506.7 kB view details)

Uploaded CPython 3.10 macOS 10.9+ universal2 (ARM64, x86-64) macOS 10.9+ x86-64 macOS 11.0+ ARM64

symbologyl2-0.1.1-cp39-none-win_amd64.whl (143.9 kB view details)

Uploaded CPython 3.9 Windows x86-64

symbologyl2-0.1.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.1 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

symbologyl2-0.1.1-cp39-cp39-macosx_10_9_x86_64.macosx_11_0_arm64.macosx_10_9_universal2.whl (506.7 kB view details)

Uploaded CPython 3.9 macOS 10.9+ universal2 (ARM64, x86-64) macOS 10.9+ x86-64 macOS 11.0+ ARM64

symbologyl2-0.1.1-cp38-none-win_amd64.whl (144.1 kB view details)

Uploaded CPython 3.8 Windows x86-64

symbologyl2-0.1.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.1 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

symbologyl2-0.1.1-cp38-cp38-macosx_10_9_x86_64.macosx_11_0_arm64.macosx_10_9_universal2.whl (506.1 kB view details)

Uploaded CPython 3.8 macOS 10.9+ universal2 (ARM64, x86-64) macOS 10.9+ x86-64 macOS 11.0+ ARM64

File details

Details for the file symbologyl2-0.1.1.tar.gz.

File metadata

  • Download URL: symbologyl2-0.1.1.tar.gz
  • Upload date:
  • Size: 23.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: maturin/0.14.5

File hashes

Hashes for symbologyl2-0.1.1.tar.gz
Algorithm Hash digest
SHA256 330020a5dd7783d4622cf40fb83edb28bff3602df86fed8d77ce2bd718cdda62
MD5 1319d40454e7ac410359d3168e368fa8
BLAKE2b-256 11da98f928c4186a580bbac34814da75cec660e31ee96e991e41b93891fd7954

See more details on using hashes here.

File details

Details for the file symbologyl2-0.1.1-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for symbologyl2-0.1.1-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 1d3f4efcdee14249541eff4ed1dbc460d10809beacee03a7b87a3e282220696f
MD5 55c8f35cd84dd4feba43f68f4be018f6
BLAKE2b-256 fafbe95f138c94ddf1beeab259ca9536297f9c3df20f988a1a01b5c264cd4fad

See more details on using hashes here.

File details

Details for the file symbologyl2-0.1.1-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for symbologyl2-0.1.1-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 a26160b25ae35625b195fc1113cce31d38a5d54ae6224f60a104b63347cd0776
MD5 7e616755f26e2f74153fde8bb1371765
BLAKE2b-256 baf19322a6ec9ad241ce570ef52870d16cb483b57bc1842b9db9472fd903efa2

See more details on using hashes here.

File details

Details for the file symbologyl2-0.1.1-cp311-none-win_amd64.whl.

File metadata

File hashes

Hashes for symbologyl2-0.1.1-cp311-none-win_amd64.whl
Algorithm Hash digest
SHA256 f21cb3f43c525b31453a21d3a1a3cc6064c288554323249837cb3f526326276c
MD5 e6c2beb8dd63ad3727735adb0a5845a3
BLAKE2b-256 5b28de33046d4c599518ceeb572930b49d02e036edf8845c1f2b24be58cdb7d4

See more details on using hashes here.

File details

Details for the file symbologyl2-0.1.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for symbologyl2-0.1.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 2c5096c8a6da38aeca0b8149412c6578e46af00b570277f74048d7435f9985fd
MD5 3ed5379d7e3d3bfd8c18107ed05ef28c
BLAKE2b-256 98b0f518a7eb35381b8ea57edf85d5871f57917190ce9346b8235a5ac9a0fe95

See more details on using hashes here.

File details

Details for the file symbologyl2-0.1.1-cp311-cp311-macosx_10_9_x86_64.macosx_11_0_arm64.macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for symbologyl2-0.1.1-cp311-cp311-macosx_10_9_x86_64.macosx_11_0_arm64.macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 eddc231cb9bd5f4e1f1bd30da32d4fc141663d096f406b3126b379a8ef4bd0c4
MD5 a79063ec7d8c51094dc428847e492612
BLAKE2b-256 09a2539442bd216bbe8528dbdcaf859e6d5a21f2ef234d225a2d418f7d607978

See more details on using hashes here.

File details

Details for the file symbologyl2-0.1.1-cp310-none-win_amd64.whl.

File metadata

File hashes

Hashes for symbologyl2-0.1.1-cp310-none-win_amd64.whl
Algorithm Hash digest
SHA256 0eb49cfad9c25d3a0d6fbafefd1ab6278586138be7b177fb8eb8495f65573c28
MD5 dbd5bbddb2a75a36742bdecada582a73
BLAKE2b-256 7ceb50232c7ff2fdd874b508490c5dd650d55ca371a0c211005b383a125562d7

See more details on using hashes here.

File details

Details for the file symbologyl2-0.1.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for symbologyl2-0.1.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 836d9f374d27022cf3b11bbbe2aff66ee380fc40e032758c15ff997fd3ccc638
MD5 fe66efcef1cfcbe4dd23d8697c91d02f
BLAKE2b-256 d708427a1cf4093b2ffbafa537be4b97d4c8ced80be80255a5438202bf8dd8d9

See more details on using hashes here.

File details

Details for the file symbologyl2-0.1.1-cp310-cp310-macosx_10_9_x86_64.macosx_11_0_arm64.macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for symbologyl2-0.1.1-cp310-cp310-macosx_10_9_x86_64.macosx_11_0_arm64.macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 02a9d9c0a2fbb8f81e8d9fb0869ba544966a44ccdfe26da1c50acb47232e94c6
MD5 0126c1dabc1df94b14e273d2c1d02d31
BLAKE2b-256 977985744f456b445bb04100fa4cfe8b6c3428d406157d3ea5c8ae4d1a3c127e

See more details on using hashes here.

File details

Details for the file symbologyl2-0.1.1-cp39-none-win_amd64.whl.

File metadata

File hashes

Hashes for symbologyl2-0.1.1-cp39-none-win_amd64.whl
Algorithm Hash digest
SHA256 f95bb58ede45ef02c5d599b83ccb378b8ba5939014844ee6b06a6cf095a1029b
MD5 3a98f1ad9b9d05be274c349401333f05
BLAKE2b-256 db395dbe38965f0bf503ccb37efddfc54ff798d1f68a11ea19f0492b449b942f

See more details on using hashes here.

File details

Details for the file symbologyl2-0.1.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for symbologyl2-0.1.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 dd3a405fd331219f01ee4dcd437117dbe4a90b49c60c9b935d869e1ce565ad03
MD5 6aa3fb8744cf2832bb1d7b4260f84980
BLAKE2b-256 b2a6b94984c9b46e6a88a5090157ce94a40690e67f604f6933b5eafa938b3cf6

See more details on using hashes here.

File details

Details for the file symbologyl2-0.1.1-cp39-cp39-macosx_10_9_x86_64.macosx_11_0_arm64.macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for symbologyl2-0.1.1-cp39-cp39-macosx_10_9_x86_64.macosx_11_0_arm64.macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 78734ce5a3fe0e3b7ec0b78e7e5d190bde1f8cf7915725a914c74490c412bd57
MD5 e32c86dee5636ca3d6ea0380553d6fc9
BLAKE2b-256 215b378454598d2b3cebe483c186e10d0fe23178aa619f2ab5a23d66df005f14

See more details on using hashes here.

File details

Details for the file symbologyl2-0.1.1-cp38-none-win_amd64.whl.

File metadata

File hashes

Hashes for symbologyl2-0.1.1-cp38-none-win_amd64.whl
Algorithm Hash digest
SHA256 bd1461ccf3db05d8027e48ec7785dd8d25326a5d2b078830485f2fb39e0899ea
MD5 0fa7dcc52b468dc69b3807d06a51099c
BLAKE2b-256 da2f4e44b09797347ce233df33d715c1756f09caaacdff67c2f2c3862a48d161

See more details on using hashes here.

File details

Details for the file symbologyl2-0.1.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for symbologyl2-0.1.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 861a118a52176e37d960377d73d4ec9849c5bf7e407d457e626238e7cd0ea49f
MD5 1dc7de731d64350cc70e638c046e1e1b
BLAKE2b-256 9634e1badbfbb2aa8b70f6d9631d224da7731958131bfe4394179887199efe1b

See more details on using hashes here.

File details

Details for the file symbologyl2-0.1.1-cp38-cp38-macosx_10_9_x86_64.macosx_11_0_arm64.macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for symbologyl2-0.1.1-cp38-cp38-macosx_10_9_x86_64.macosx_11_0_arm64.macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 845a36535bead9f0c33741f0d711144388903ee027555669b5a45fcaa09d3e0a
MD5 310b02b0005f062097be0b4627050ce1
BLAKE2b-256 e99ac929f9d2d428b683191c1ee80c6d0ad4c88c32b06b534d8429f9f561789c

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page