/Pendle-YT-Timing-Strategy-Analyzer

This analyzer helps users find the best times to buy Yield Tokens (YT) on Pendle. It simplifies investment decisions by analyzing historical data and market trends, offering insights into optimal entry points and returns. Ideal for all DeFi investors, it provides clear visualizations and automated analysis to boost your yield farming strategy.

Primary LanguageJupyter NotebookMIT LicenseMIT

🌟 Pendle-YT-Timing-Strategy-Analyzer 🌟

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This analyzer helps users find the best times to buy Yield Tokens (YT) on Pendle. It simplifies investment decisions by analyzing historical data and market trends, offering insights into optimal entry points and returns. Ideal for all DeFi investors, it provides clear visualizations and automated analysis to boost your yield farming strategy.

🎯 Features

  • Optimal Timing Analysis: Identifies the best times to purchase YT based on historical APY data and market trends.
  • Automated Analysis: Automatically processes and analyzes data to generate actionable insights for your investment strategy.
  • Customizable Indicators: Includes options for adding custom indicators like moving averages, volatility, RSI, and MACD.
  • Visualizations: Generates clear, easy-to-interpret visualizations to help guide your investment decisions.
  • Simulated Limit Orders: Simulate the results of placing limit orders on YT and assess potential outcomes.

πŸ” Understanding the Strategy

To gain a deeper understanding of how the YT price correlates with the implied annualized yield (APY) and the impact of holding duration on returns, please refer to the YT Timing Strategy Overview.

This document covers:

  • The correlation between YT price and implied APY.
  • The effect of holding duration and YT leverage.
  • How to achieve returns above the average by identifying optimal purchase points.
  • The significance of volume-weighted implied APY in establishing a fair price line for YT.

πŸ“¦ Prerequisites

  • Python 3.x
  • Required Python libraries: requests, pandas, numpy, datetime, plotly

πŸ“˜ Colab Notebook OR πŸš€ Installation

You can explore and run the analysis directly on Google Colab. No setup requiredβ€”simply open the notebook and start experimenting with the tool:

Open in Colab

Alternatively, you can clone the repository and run the analysis locally:

  1. Clone the repository:
    git clone https://github.com/labrinyang/Pendle-YT-Timing-Strategy-Analyzer.git
  2. Install the required Python libraries:
    pip install -r requirements.txt
  3. Run the notebook: Open the Jupyter Notebook or Python script locally and start your analysis.

πŸ’‘ Usage

  1. Select Network: Choose the network where the pool is located (Ethereum, Arbitrum, Mantle).
  2. Enter Contract Addresses: Provide the Market and YT contract addresses on the pool's homepage.
  3. Analyze & Simulate: Use the tool to analyze your investment strategy or simulate limit orders based on historical data.
  4. Visualize Results: Generate and view visualizations to understand YT price movements, implied APY, and points distribution.

🀝 Contributing

We welcome contributions from Pendle enthusiasts! Whether you're a developer, analyst, or simply a fan of DeFi, your input and improvements are highly valued. Future support from this project will be shared with all contributors.

How to Contribute

  1. Fork the repository: Click the "Fork" button at the top-right corner of this page.
  2. Create your feature branch:
    git checkout -b feature/AmazingFeature
  3. Commit your changes:
    git commit -m 'Add some AmazingFeature'
  4. Push to the branch:
    git push origin feature/AmazingFeature
  5. Open a pull request: Navigate to your fork on GitHub and click the "Pull Request" button to submit your changes for review.

We can't wait to see your contributions! ✨

πŸ‘₯ Authors & Contributors

Created by Quant Sheep β€” Looking forward to collaborating with other DeFi enthusiasts!

πŸ’Έ Support

If you find this tool useful, consider supporting: 0x334D7763eD1e23bD4052e9551DB3Dac506a64F1E. Future support will be shared among contributors.

πŸ“œ License

This project is licensed under the MIT License.