A powerful stock screening and analysis tool

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for PredictramData from gravatar.com PredictramData

Unverified details

These details have not been verified by PyPI
Meta
  • License: MIT License
  • Author: PredictRAM
  • Requires: Python >=3.7
Classifiers
Report project as malware

Project description

PyStockParameter

Python Version License: MIT

PyStockParameter is a powerful Python library for stock screening, analysis, and visualization using natural language queries. It allows investors and analysts to filter, rank, and analyze stocks using plain English commands.

Features

  • Natural Language Processing: Query stocks using human-readable sentences
  • Comprehensive Metrics: 150+ financial metrics and technical indicators
  • Advanced Filtering: Complex multi-condition screening
  • Visualization: Automatic chart generation based on queries
  • Export Capabilities: Save results to Excel, CSV, or JSON
  • Industry Comparisons: Relative valuation against industry peers

Installation

pip install pystockparameter

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for PredictramData from gravatar.com PredictramData

Unverified details

These details have not been verified by PyPI
Meta
  • License: MIT License
  • Author: PredictRAM
  • Requires: Python >=3.7
Classifiers

Release history Release notifications | RSS feed

3.1.1

3.1.0

0.1.9

0.1.8

0.1.7

0.1.6

0.1.5

0.1.1

This version

0.1.0

Download files

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

Source Distribution

pystockquery-0.1.0.tar.gz (8.4 kB view details)

Uploaded Source

Built Distribution

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

pystockquery-0.1.0-py3-none-any.whl (8.9 kB view details)

Uploaded Python 3

File details

Details for the file pystockquery-0.1.0.tar.gz.

File metadata

  • Download URL: pystockquery-0.1.0.tar.gz
  • Upload date:
  • Size: 8.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.0

File hashes

Hashes for pystockquery-0.1.0.tar.gz
Algorithm Hash digest
SHA256 24a2c1b61b6bfe0221fc07ed8d1621a11046435f81feabd01653dbcc17d74990
MD5 84e2d56a9512c7e27dec410b68bc4c7c
BLAKE2b-256 6f9868f51fb9942ccfed6b876a3c1c13374788748c4063502ae5acbbd929b0d4

See more details on using hashes here.

File details

Details for the file pystockquery-0.1.0-py3-none-any.whl.

File metadata

  • Download URL: pystockquery-0.1.0-py3-none-any.whl
  • Upload date:
  • Size: 8.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.0

File hashes

Hashes for pystockquery-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 1c1cf53dd6a2718a0693870059b54be71965b61a3efa62408dc47bd727eb485c
MD5 f98f0328e3a09f8404917a8a4f666991
BLAKE2b-256 5b1f9caad7bd43b9fc629eae1e514e0436cd0e467ac65ed92913f9675a6507ac

See more details on using hashes here.

Supported by

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