HashtagCashtag

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HashtagCashtag is a Data & Analytics tool that processes big data for user sentiment analysis. It aggregates Twitter and US stock market data to correlate sentiment with stock prices.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Skill level

Technical

About

What is HashtagCashtag?

HashtagCashtag is an open-source project that implements a big data processing pipeline based on a lambda architecture. It aggregates Twitter and US stock market data to perform user sentiment analysis and correlate it with stock price fluctuations. The pipeline utilizes Apache Kafka for data ingestion, Apache Spark and Spark Streaming for both batch and real-time processing, and Apache Cassandra for data storage. A Flask-based frontend, incorporating Bootstrap and HighCharts, provides visualization of trending stocks, historical data, and sentiment over time. This project demonstrates a comprehensive approach to real-time and batch data processing for financial market insights.

Best used for

Ideal for data scientists who need to build and analyze big data pipelines for financial market insights, track real-time stock trends based on social media sentiment, and correlate Twitter activity with stock price movements. Especially valuable for understanding the practical application of lambda architecture in data engineering.

Common actions

analyze social sentiment

process big data

correlate market data

visualize stock trends

"AI Agents"github copilotface swappingcollaborationdeepfakeautomated workflowlow-code/no-codeworkflowsopen-source

Capabilities

Key features

Twitter data ingestion
Stock market data aggregation
User sentiment analysis
Batch processing (Spark)
Real-time processing (Spark Streaming)
Cassandra data storage
Flask-based visualization

Target Audience

data scientist

Integrations

apache-kafkaapache-sparkapache-cassandraflaskbootstraphighcharts

Pricing & Plans

Open Source

Free

FAQs

What kind of data does HashtagCashtag process?

HashtagCashtag processes real-time Twitter data and US stock market data. It aggregates information relevant to NYSE and NASDAQ stocks to perform sentiment analysis and track mentions, correlating these with stock price fluctuations.

What open-source technologies are used in HashtagCashtag's pipeline?

The pipeline leverages Apache Kafka for data ingestion, Apache Spark and Spark Streaming for batch and real-time processing, and Apache Cassandra for storage. The frontend is built with Flask, Bootstrap, and HighCharts for visualization.

How does HashtagCashtag perform sentiment analysis?

HashtagCashtag performs a simple sentiment analysis by looking for keywords in tweets. It assigns a score of +1 for positive words and -1 for negative words, summing these scores to determine the overall sentiment of a tweet.

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Subcategories trending in Data & Analytics

Business Intelligence Predictive Analytics Data Labeling & Annotation Real-Time Analytics Market Research Data Cleaning & Prep

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Also listed in

This tool also appears in

Finance › Financial Data & Research Coding & Development › Open Source & Models Finance › Trading & Investments

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