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It covers data collection, processing, and advanced statistical techniques to uncover insights into market behavior.  \n\n---  \n\n## 📌 Key Topics  \n\n### 📊 **1. Data Collection, Processing \u0026 Resampling**  \n- 🔹 **Data Collection:** Fetching OHLCV Candlestick Data  \n  - Modular Python functions for API interactions  \n  - Processing OHLCV data into a representative price series  \n  - Extracting implied USDT-TMN price series  \n- 🔹 **Resampling:**  \n  - Selection of time scales  \n  - Methodological approach  \n- 🔹 **Handling Market Anomalies:**  \n  - Missing data management  \n  - Outlier detection and correction  \n  - Data integrity assurance  \n\n### 📈 **2. Exploratory Data Analysis (EDA)**  \n- 📌 **Log Returns, Volatility \u0026 Normality Assessment:**  \n  - Volatility estimation \u0026 clustering (EWMA)  \n  - Statistical summaries  \n  - Graphical \u0026 quantitative normality tests  \n  - Importance of normality in financial models  \n- 📌 **Autocorrelation \u0026 Stationarity Analysis:**  \n  - ACF \u0026 PACF plots  \n  - Stationarity testing  \n  - Non-stationarity \u0026 autocorrelation interplay  \n- 📌 **Inter-Market Analysis:**  \n  - Synchronous \u0026 lagged correlations  \n  - Strategic application  \n\n### 🔗 **3. Cointegration Analysis**  \n- ✅ Cointegration testing methodology  \n- ✅ Dynamic analysis of cointegration parameters  \n\n### 📉 **4. Error Correction Model (ECM)**  \n- 🔄 ECM development  \n- 📊 Analysis of reversion dynamics  \n\n---  \n\n📌 **Why This Matters?**  \nUnderstanding market trends and price relationships is crucial for developing trading strategies and risk management in the crypto space. This project provides a structured approach to analyzing cryptocurrency data using statistical and econometric methods.  \n\n---  \n\n⚠️ **Note:** This project is my first experience in data science, and I acknowledge that it may have various shortcomings. I warmly welcome any collaboration, feedback, and suggestions to improve it. Your insights would be greatly appreciated! Also, if you need datasets, you can contact [me](amirrezaazari1381@gmail.com)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Famirreza81%2Ffinancial_data_analysis_practice","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Famirreza81%2Ffinancial_data_analysis_practice","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Famirreza81%2Ffinancial_data_analysis_practice/lists"}