Skip to main content

Package for financial time series forecasting.

Project description

ftsf

This package provides high-level interface to work with financial time series forecasting models.

Installation

To install this package run command:

pip install ftsf

Usage

The usage of package is simple:

from ftsf.model import Model
from ftsf.preprocessing import get_data
x_train, x_test, y_train, y_test, scaler = get_data('AAPL', length=15)
model = Model('LSTM x2', lag = 15)
model.fit(x_train, y_train) model.evaluate(x_test, y_test, scaler)

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

ftsf-0.0.1.4.tar.gz (9.7 kB view details)

Uploaded Source

Built Distribution

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

ftsf-0.0.1.4-py3-none-any.whl (11.3 kB view details)

Uploaded Python 3

File details

Details for the file ftsf-0.0.1.4.tar.gz.

File metadata

  • Download URL: ftsf-0.0.1.4.tar.gz
  • Upload date:
  • Size: 9.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.13

File hashes

Hashes for ftsf-0.0.1.4.tar.gz
Algorithm Hash digest
SHA256 d38aae23506967485456792707f0d4f947f3274843a9df05a7adaf67c395ce90
MD5 ebde09853a29f6344f3e8c23b4db6ba8
BLAKE2b-256 e19eba2c36516d74467b03615941b1cf3c0aed34edfdbfbc03f0a573f7b8b8ed

See more details on using hashes here.

File details

Details for the file ftsf-0.0.1.4-py3-none-any.whl.

File metadata

  • Download URL: ftsf-0.0.1.4-py3-none-any.whl
  • Upload date:
  • Size: 11.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.13

File hashes

Hashes for ftsf-0.0.1.4-py3-none-any.whl
Algorithm Hash digest
SHA256 a58805baf3365754e9ecbdc25114d1c8dfbf7df795356b4cd6ab2ec24f89727e
MD5 c485b917760c761c7dd3e178ea4d0ada
BLAKE2b-256 504aa4300944fdec1c2c15672a0126aaef22a08c5672c2f6471de363722b62ed

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