espin086/NewsWaveMetrics

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is a powerful tool for analyzing news sentiment on both national and local stories, allowing users to correlate these stories with their own uploaded metrics, starting with stock market price data. Stay ahead of the curve and make informed decisions with SentimentSync.

Stars: 2
Forks: 0
Open beginner issues: 0
Indexed issues: 6

Dominant language: Jupyter Notebook
License: MIT
Last GitHub push: Aug 20, 2024
Latest indexed: Sep 15, 2026
Contributing guide: No contributing guide
Code of conduct: No code of conduct
Beginner labels: No beginner labels indexed
PR merge metrics: No merged PRs in 30d

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6 open issues indexed

Build a model training dataset for stock prediction data Open

espin086/NewsWaveMetrics#10 · 0 comments · 0 reactions · 1 assignee · Indexed Sep 15, 2026
Create CLI App Using Argparse for Existing Codebase Open

espin086/NewsWaveMetrics#12 · 0 comments · 0 reactions · 0 assignees · Indexed Sep 15, 2026
Sphinx Documemtation Open

espin086/NewsWaveMetrics#15 · 0 comments · 0 reactions · 0 assignees · Indexed Sep 15, 2026
Setup.py to install as command line and to pypi Open

espin086/NewsWaveMetrics#16 · 0 comments · 0 reactions · 0 assignees · Indexed Sep 15, 2026
Creation of Python Module for Gathering Historical News Data using RSS Feeds Open

espin086/NewsWaveMetrics#17 · 0 comments · 0 reactions · 1 assignee · Indexed Sep 15, 2026
Set Up `.streamlit` Folder and `secrets.toml` File for Secure Secrets Management Open

espin086/NewsWaveMetrics#18 · 0 comments · 0 reactions · 0 assignees · Indexed Sep 15, 2026

espin086/NewsWaveMetrics

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