AI-Powered Market Trend Analysis & Sentiment
Project description
TrendScout
AI-Powered Market Trend Analysis & Sentiment.
Installation
pip install trendscout
Quick Start
from trendscout import TrendScout
ts = TrendScout()
# Analyze sentiment
result = ts.analyze_sentiment("The market is looking very strong today!")
print(result.label) # "bullish"
print(result.polarity) # 0.xx
print(result.confidence) # 0.xx
# Get trending topics (mock data in current version)
trends = ts.get_emerging_trends(domain="technology", limit=5)
print(trends)
Features
- Sentiment Analysis - TextBlob-based polarity and subjectivity scoring
- Trend Scraping - Mock data with extensible scraping framework
- DataFrame Analysis - Batch sentiment analysis on pandas DataFrames
License
MIT
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
trendscout-0.3.0.tar.gz
(4.2 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file trendscout-0.3.0.tar.gz.
File metadata
- Download URL: trendscout-0.3.0.tar.gz
- Upload date:
- Size: 4.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.13.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
79debf51c02e38a25901eb8599eb3e0cfff8749d30e4a72dbdb445c7a5245fe4
|
|
| MD5 |
c354538c745153cfe961be970bcbc1cf
|
|
| BLAKE2b-256 |
8d65a11b4f3ce36e0f8d615bc87e5d2952b324ed93eaa3d8a2e4e034a1298e70
|
File details
Details for the file trendscout-0.3.0-py3-none-any.whl.
File metadata
- Download URL: trendscout-0.3.0-py3-none-any.whl
- Upload date:
- Size: 4.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.13.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
68e4cf12d4bac40b325501d62f70b5862715ac854ef43944be6d0ba9d0db48d5
|
|
| MD5 |
1f11cb6190d7c9088eef1e1572025915
|
|
| BLAKE2b-256 |
d6219a5af3b8bca343220f42c735ea3bd6bdee0b80e46cecb88b67819330a163
|
