Stock Market Analysis Using Python
Stock Market Analysis Using Python
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Project: AI-Driven Stock Market Forecasting
Project: AI-Driven Stock Market Forecasting
The Challenge
The Challenge
Predicting stock trends is like reading tea leaves—volatile and unpredictable!
Predicting stock trends is like reading tea leaves—volatile and unpredictable!
The Solution
The Solution
I built a machine learning-powered dashboard that:
I built a machine learning-powered dashboard that:
- 📊 Visualizes real-time data with interactive candlestick charts
- 📊 Visualizes real-time data with interactive candlestick charts
- 🔮 Predicts trends using Linear Regression
- 🔮 Predicts trends using Linear Regression
- 📈 Identifies optimal buy/sell points with RSI & Bollinger Bands
- 📈 Identifies optimal buy/sell points with RSI & Bollinger Bands
Key Insights
Key Insights
1. Strong Correlation: Google & Amazon stocks move together (0.95 correlation).
1. Strong Correlation: Google & Amazon stocks move together (0.95 correlation).
2. Amazon's Volatility: 12% daily swings require careful timing.
2. Amazon's Volatility: 12% daily swings require careful timing.
3. ML Predictions: $1 Google ↑ → $0.95 Amazon ↑.
3. ML Predictions: $1 Google ↑ → $0.95 Amazon ↑.
Tech Stack
Tech Stack
- Python, yfinance, Plotly, Scikit-learn
- Python, yfinance, Plotly, Scikit-learn
- Live updates via Yahoo Finance API
- Live updates via Yahoo Finance API
The Data Alchemist: Transforming Raw Market Data into Actionable Insights
The Data Alchemist: Transforming Raw Market Data into Actionable Insights
Act 1: Hunting Live Data
Act 1: Hunting Live Data
Live stock market data flows like a roaring river! Using the yfinance library:
Extracted 3 years of historical data for Google (GOOG), Apple (AAPL), and Amazon (AMZN).
First Insight: Amazon showed 12% higher volatility compared to others!
Act 2: Technical Enchantments
Act 2: Technical Enchantments
I crafted two powerful spells to decode stock secrets:
Relative Strength Index (RSI):
RSI > 70 → Overbought signal
RSI < 30 → Oversold signal
Bollinger Bands:
Price touches upper band → Likely price drop
Price touches lower band → Likely price rally
Act 3: The Interactive Crystal Ball
Act 3: The Interactive Crystal Ball
"With Plotly, I built a magical dashboard:
Live candlestick charts with zoom/pan functionality.
Bollinger Bands in bold colors.
RSI displayed on a secondary axis.
Act 4: Unlocking Hidden Relationships
Act 4: Unlocking Hidden Relationships
"The correlation matrix revealed:
Google & Apple: 0.87 correlation
Google & Amazon: 0.95 correlation → Twin trends!
Amazon& Apple: 0.83 correlation
Act 5: Machine Learning Prophecy
Act 5: Machine Learning Prophecy
"With linear regression, I predicted:
$1 increase in Google → $0.95 rise in Amazon !
Multivariate model achieved 82% accuracy in forecasting Apple’s trends.
🚀 GitHub CTA Section:
🚀 GitHub CTA Section:
Curious about the code?
Visit my Github to see the magic behind the numbers!
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