Skip to main content

Derive investment insights

Project description

Introduction

Finsights is a package to derive financial insights. It aims to covers the multi-facted areas associated with investment research. This includes getting of data from various sources, preprocessing of data, and analysis-related functions to obtain insights.

Chapters

  1. Data

The Data subpackage contains multiple modules used to obtain data. The modules are

  • dapis: This module contains functions which allow us to obtain data from APIs.
  • events: This module contains events which happened in financial history. While it only holds some events currently, more events will be added over time so they can be used for scenario analysis.
  • utils: This module contains helper functions which make obtaining of data easier in general.
  1. Analysis

The Analysis subpackage contains multiple modules used for analysis. The modules are

  • charting: This module contains general functions that simplify the charting process, especially the more commonly used ones.
  • modelling: This module contains functions that simplify the modelling process.
  • preprocessing: This module contains functions that help in preprocessing. This is usually used before modelling.
  • distributions: This module contains functions that help us to configure the distribution of a variable.

Compatibility

This package needs at least Python 3.6 on MacOS.

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

finsights-1.0.0.tar.gz (10.5 kB view details)

Uploaded Source

Built Distribution

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

finsights-1.0.0-py3-none-any.whl (10.9 kB view details)

Uploaded Python 3

File details

Details for the file finsights-1.0.0.tar.gz.

File metadata

  • Download URL: finsights-1.0.0.tar.gz
  • Upload date:
  • Size: 10.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/47.1.0 requests-toolbelt/0.9.1 tqdm/4.50.0 CPython/3.8.5

File hashes

Hashes for finsights-1.0.0.tar.gz
Algorithm Hash digest
SHA256 5a0ddcffe13fa7c556ca7c16ec3216508cc58ba5b19d44ba353f9193c6ffd6c2
MD5 52830e3493d0ac507fe9effe654a9cb8
BLAKE2b-256 79bbd37d3da3a2dce2d7dc5b6913e0cad2446a590f4fe58bfa8c777789bde073

See more details on using hashes here.

File details

Details for the file finsights-1.0.0-py3-none-any.whl.

File metadata

  • Download URL: finsights-1.0.0-py3-none-any.whl
  • Upload date:
  • Size: 10.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/47.1.0 requests-toolbelt/0.9.1 tqdm/4.50.0 CPython/3.8.5

File hashes

Hashes for finsights-1.0.0-py3-none-any.whl
Algorithm Hash digest
SHA256 884cfb84e39264e0bbe38d5593fbd677788454c986520cd129b25869c1198da5
MD5 0fbbbf94f3e81429e063f8404e7e7b21
BLAKE2b-256 c750d33d3685eac2164ee12a43559a0128082e412152a197f7220762144d6d30

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