fix: Update links in documentation for consistency and accessibility

Author: xgboosted

QUICKSTART.md

@@ -425,10 +425,10 @@ pip install TA_Lib‑0.4.XX‑cpXX‑cpXX‑win_amd64.whl
 Now that you've got the basics, explore more:
 
 1. **[Full Documentation](https://xgboosted.github.io/pandas-ta-classic/)** - Complete API reference
-2. **[Tutorials](TUTORIALS.md)** - Step-by-step guides for common tasks
+2. **[Tutorials](https://github.com/xgboosted/pandas-ta-classic/blob/main/TUTORIALS.md)** - Step-by-step guides for common tasks
 3. **[Indicator Reference](https://xgboosted.github.io/pandas-ta-classic/indicators.html)** - All 203 indicators
 4. **[Strategy Guide](https://xgboosted.github.io/pandas-ta-classic/strategies.html)** - Advanced strategy system
-5. **[Examples](examples/)** - Jupyter notebooks with real examples
+5. **[Examples](https://github.com/xgboosted/pandas-ta-classic/tree/main/examples)** - Jupyter notebooks with real examples
 
 ## 🎯 Quick Reference Card
 
@@ -447,6 +447,6 @@ Now that you've got the basics, explore more:
 
 - **Issues**: [GitHub Issues](https://github.com/xgboosted/pandas-ta-classic/issues)
 - **Discussions**: [GitHub Discussions](https://github.com/xgboosted/pandas-ta-classic/discussions)
-- **Examples**: Check the [examples/](examples/) directory
+- **Examples**: Check the [examples directory](https://github.com/xgboosted/pandas-ta-classic/tree/main/examples)
 
 Happy Trading! 📈

README.md

@@ -28,8 +28,8 @@ This is the **classic/community maintained version** of the popular pandas-ta li
 
 **Get started quickly with our comprehensive guides:**
 
-- **[🚀 Quickstart Guide](QUICKSTART.md)** - Installation, your first indicators, and common workflows
-- **[📚 Tutorials](TUTORIALS.md)** - Step-by-step tutorials for real-world use cases:
+- **[🚀 Quickstart Guide](https://github.com/xgboosted/pandas-ta-classic/blob/main/QUICKSTART.md)** - Installation, your first indicators, and common workflows
+- **[📚 Tutorials](https://github.com/xgboosted/pandas-ta-classic/blob/main/TUTORIALS.md)** - Step-by-step tutorials for real-world use cases:
   - Moving Average Crossover Strategy
   - Building Custom Indicator Strategies  
   - Backtesting with Performance Metrics
@@ -149,9 +149,9 @@ df.ta.strategy("CommonStrategy")         # Runs commonly used indicators
 ### 📖 Learning Resources
 
 **Start Here:**
-- 🚀 **[Quickstart Guide](QUICKSTART.md)** - Get up and running in minutes
-- 📚 **[Tutorials](TUTORIALS.md)** - Step-by-step guides for common workflows
-- � **[Examples](https://github.com/xgboosted/pandas-ta-classic/tree/main/examples)** - Jupyter notebooks with real examples
+- 🚀 **[Quickstart Guide](https://github.com/xgboosted/pandas-ta-classic/blob/main/QUICKSTART.md)** - Get up and running in minutes
+- 📚 **[Tutorials](https://github.com/xgboosted/pandas-ta-classic/blob/main/TUTORIALS.md)** - Step-by-step guides for common workflows
+- 📓 **[Examples](https://github.com/xgboosted/pandas-ta-classic/tree/main/examples)** - Jupyter notebooks with real examples
 
 **Reference Documentation:**
 - �📖 [**Usage Guide**](https://xgboosted.github.io/pandas-ta-classic/usage.html) - Programming conventions and basic usage
@@ -164,7 +164,7 @@ df.ta.strategy("CommonStrategy")         # Runs commonly used indicators
 
 **Pandas TA Classic** follows a **rolling support policy** for the latest stable Python version plus 4 preceding minor versions.
 
-> **Note:** Python version support is **dynamically managed** via CI/CD workflows. When new Python versions are released, the library automatically updates to support the latest 5 minor versions. Check the [CI workflow](.github/workflows/ci.yml) `LATEST_PYTHON_VERSION` for the current configuration.
+> **Note:** Python version support is **dynamically managed** via CI/CD workflows. When new Python versions are released, the library automatically updates to support the latest 5 minor versions. Check the [CI workflow](https://github.com/xgboosted/pandas-ta-classic/blob/main/.github/workflows/ci.yml) `LATEST_PYTHON_VERSION` for the current configuration.
 
 **Note:** _TA Lib_ installation enables all candlestick patterns:
 - Using `uv`: `uv pip install TA-Lib`
@@ -181,7 +181,7 @@ We welcome contributions! Please see our [contributing guidelines](https://githu
 
 ## 📋 Changelog
 
-For detailed information about changes, improvements, and new features, please see the [CHANGELOG.md](CHANGELOG.md) file.
+For detailed information about changes, improvements, and new features, please see the [CHANGELOG.md](https://github.com/xgboosted/pandas-ta-classic/blob/main/CHANGELOG.md) file.
 
 ## 🔗 Sources
 
@@ -195,4 +195,4 @@ If you find this library helpful, please consider:
 
 ## 📄 License
 
-This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
+This project is licensed under the MIT License - see the [LICENSE](https://github.com/xgboosted/pandas-ta-classic/blob/main/LICENSE) file for details.

TUTORIALS.md

@@ -783,8 +783,8 @@ You've completed the tutorials! Here's what to explore next:
 
 ## 📚 Additional Resources
 
-- [QUICKSTART.md](QUICKSTART.md) - Quick reference guide
-- [Examples Directory](examples/) - Jupyter notebooks
+- [QUICKSTART.md](https://github.com/xgboosted/pandas-ta-classic/blob/main/QUICKSTART.md) - Quick reference guide
+- [Examples Directory](https://github.com/xgboosted/pandas-ta-classic/tree/main/examples) - Jupyter notebooks
 - [Indicator Reference](https://xgboosted.github.io/pandas-ta-classic/indicators.html) - All indicators
 - [Strategy Guide](https://xgboosted.github.io/pandas-ta-classic/strategies.html) - Advanced strategies
 

index.md

@@ -7,7 +7,7 @@ title: Pandas TA Classic - Technical Analysis Library
 
 **Pandas Technical Analysis (Pandas TA Classic)** is an easy to use library that leverages the Pandas package with **141 indicators and utility functions** plus **62 TA-Lib candlestick patterns** (**203 total**). This is the **community maintained version** of the popular pandas-ta library.
 
-![Example Chart](images/TA_Chart.png)
+![Example Chart](https://raw.githubusercontent.com/xgboosted/pandas-ta-classic/main/images/TA_Chart.png)
 
 ## Features