README.md

# Tutorials - Stock Market Time Series Dataset

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## 📚 Tutorial Overview

This directory contains comprehensive tutorials for the Stock Market Time Series Dataset.

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## Available Tutorials

### 1. Getting Started Tutorial (Python Script)

**File:** `getting_started.py`

A complete Python script tutorial covering:
- Data loading and exploration
- Basic analysis and statistics
- Visualization techniques
- Technical indicator analysis
- Time series forecasting
- Portfolio optimization
- Backtesting strategies

**Usage:**
```bash
cd tutorials
python getting_started.py
```

### 2. Advanced ML Tutorial

**File:** `advanced_ml_tutorial.py`

Deep dive into machine learning features:
- LSTM model training
- Feature engineering
- Model evaluation
- Future price prediction

**Usage:**
```bash
python advanced_ml_tutorial.py
```

### 3. Backtesting Tutorial

**File:** `backtesting_tutorial.py`

Learn to backtest trading strategies:
- Strategy development
- Performance evaluation
- Risk metrics
- Strategy comparison

**Usage:**
```bash
python backtesting_tutorial.py
```

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## Requirements

Install all dependencies:
```bash
pip install -r ../requirements.txt
```

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## Learning Path

**Beginner:**
1. Start with `getting_started.py`
2. Understand data structures
3. Practice basic analysis

**Intermediate:**
4. Explore technical indicators
5. Try simple forecasting
6. Compare multiple stocks

**Advanced:**
7. Train ML models (`advanced_ml_tutorial.py`)
8. Backtest strategies (`backtesting_tutorial.py`)
9. Optimize portfolios
10. Build custom tools

---

## Contact

**Author:** Molla Samser
**Organization:** RSK World
**Website:** [https://rskworld.in/](https://rskworld.in/)
**Email:** help@rskworld.in
**Phone:** +91 93305 39277

---

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