AI-Powered Sentiment Trading Bots with Python: Build 6 Real-Time Market Reactors

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About Course

Unlock the next level of algorithmic trading by learning how to build 6 powerful, real-time sentiment-based trading bots using Python. This hands-on course teaches you how to harness sentiment data from Reddit, Twitter, and global news sources to create bots that can analyze market emotions and execute trades intelligently.

Whether you’re a trader, Python developer, or AI enthusiast, this course gives you everything you need to build fully functional, AI-powered trading bots that respond to real-world sentiment shifts.


💡 What You Will Learn

  • Fundamentals of sentiment analysis in financial markets

  • How to use Python to collect and analyze live data from Reddit, Twitter, and news sources

  • Natural Language Processing (NLP) for analyzing social media and news sentiment

  • Designing and coding fully functional trading bots for each data source

  • Backtesting and strategy validation techniques

  • Automating trade execution via broker APIs

  • Deploying bots on the cloud for 24/7 trading


🤖 What You’ll Build – 6 Real-Time Trading Bots

  1. Reddit Sentiment Bot 1 – Extract posts, score sentiment, and build strategy

  2. Reddit Sentiment Bot 2 – Advanced NLP analysis + trade execution

  3. Twitter Sentiment Bot 1 – Real-time tweet stream analysis using Python

  4. Twitter Sentiment Bot 2 – Signal generation + portfolio automation

  5. News Sentiment Bot 1 – Scrape financial headlines and analyze mood

  6. News Sentiment Bot 2 – Combine multi-source data and automate trades


🧰 Tools & Technologies Used

  • Python (requests, pandas, nltk, TextBlob, Vader)

  • Reddit API (PRAW), Twitter API (Tweepy or X API), News APIs (NewsAPI, Google News)

  • Matplotlib, Seaborn for visualization

  • Broker API for trade execution (Alpaca, Zerodha API, etc.)

  • Jupyter Notebooks and Cloud deployment (Heroku/VPS)


🎯 Who Should Take This Course

  • Aspiring algo traders & quant enthusiasts

  • Python developers wanting to enter finance

  • Investors seeking automation through data science

  • AI/NLP learners interested in real-world applications

  • Anyone wanting to turn public sentiment into trading signals


What You’ll Get

  • Full source code for all 6 bots

  • Downloadable resources and sentiment analysis templates

  • Step-by-step tutorials with real-world projects

  • Deployment tips to run bots live 24/7

  • Lifetime access & future updates

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What Will You Learn?

  • How to build 6 live sentiment-based trading bots from scratch using Python
  • How to extract and analyze data from Reddit, Twitter, and News sources
  • Use of Natural Language Processing (NLP) tools like VADER and TextBlob
  • Automate trading decisions based on sentiment scores
  • Real-time data scraping and stream processing
  • Strategy development, backtesting, and optimization
  • Integration with broker APIs for live trading execution
  • Cloud deployment to run bots 24/7

Course Content

01 Course Kickoff – Sentiment Analysis in Trading

  • 001 Introduction
    00:00

02 Reddit Sentiment Trading Bot – 1

03 Reddit Sentiment Trading Bot – 2

04 Twitter Sentiment Trading Bot – 1

05 Twitter Sentiment Trading Bot – 2

06 News Sentiment Trading Bot – 1

07 News Sentiment Trading Bot – 2

08 Course Code

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