STOCK DATA STREAMING AND ANALYSIS

DESCRIPTION

• This project includes live streaming of data from a stock analysis website tiingo.com,Alpha Vantage.
• The data from Forex and EV trading API is streamed through Kafka.
• After streaming, the data stored in topics is analysed.
• The analysis of data is visualized in Jupyter notebook for various use cases.

STREAMING TOOLS

• Websocket,
• Requests library,
• Pandas datareader library,
• Netcat,
• API : Tiingo API,Alpha Vantage API.
• data visualization tool: matplotlib,Seaborn.

TECHNOLOGIES USED:

• Spark
• Kafka
• Pyspark

Features:

• We can analyze various stocks.
• We can stream live data in Kafka.
• We can show the result of the analysis through graph.

ROLES AND RESPONSIBILITIES

• DATA STREAMING AND SPARK submit job- Rajib’s team
• Use cases- Eshwar’s team
• Visualization- Karan’s team
• EV stock use case-Kareem's team
• Deployment-Trupti’s Team

Contributors:

• Trupti Chaudhari
• Piyush Goyal
• Rajeev Prasad
• Eshwar Naidu
• Sulemaan Salmani
• Mohammed Kareem
• Gaurav Mishal