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An advanced Flask app that combines AI-driven sentiment analysis of financial news with historical stock data to deliver precise trading recommendations, enhancing decision-making in the fintech sector.

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AI Trading with Sentiment Analysis

Welcome to the Trading Bot with Sentiment Analysis project! πŸš€ This project leverages sentiment analysis from financial news and trading strategies to make informed trading decisions. Capture111111111111111111

Overview

Our trading bot analyzes live financial news and historical stock data to make trading recommendations based on sentiment analysis and technical indicators. The bot uses advanced natural language processing and financial analysis techniques to guide trading decisions.

Features

  • Sentiment Analysis: Analyze the sentiment of top financial news articles using FinBERT.
  • Technical Analysis: Calculate moving averages and plot them alongside historical stock prices.
  • Trade Recommendations: Generate trading recommendations based on sentiment and moving averages.

Getting Started

To get started with this project, follow the instructions below:

Prerequisites

  • Python 3.10 or later
  • Virtual environment manager (e.g., conda or venv)

Setup

Create a Virtual Environment

conda create -n trading_bot python=3.10
conda activate trading_bot
conda create -n trading_bot python=3.10
conda activate trading_bot

Author

πŸ‘¨β€πŸ’» Chaima Askri
πŸ“… Version 1.0

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An advanced Flask app that combines AI-driven sentiment analysis of financial news with historical stock data to deliver precise trading recommendations, enhancing decision-making in the fintech sector.

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