| ---
|
| annotations_creators:
|
| - automated
|
| language:
|
| - en
|
| license:
|
| - mit
|
| task_categories:
|
| - time-series-forecasting
|
| - reinforcement-learning
|
| tags:
|
| - finance
|
| - stock-market
|
| - technical-analysis
|
| - yfinance
|
| size_categories:
|
| - 10K<n<100K
|
| ---
|
|
|
| # 📊 Multi-Agent RL Trading System - Dataset
|
|
|
| This dataset contains historical OHLCV (Open, High, Low, Close, Volume) data for **AAPL**, **MSFT**, and **GOOGL**, pre-processed for Reinforcement Learning based trading systems.
|
|
|
| ## 📁 Dataset Content
|
|
|
| The dataset consists of CSV files downloaded via `yfinance`:
|
| * `AAPL.csv`: Apple Inc. daily data (Jan 2018 - Dec 2024).
|
| * `MSFT.csv`: Microsoft Corp. daily data (Jan 2018 - Dec 2024).
|
| * `GOOGL.csv`: Alphabet Inc. daily data (Jan 2018 - Dec 2024).
|
|
|
| ## 📝 Columns
|
|
|
| | Column | Description |
|
| | :--- | :--- |
|
| | **Date** | Trading date (YYYY-MM-DD) |
|
| | **Open** | Opening price |
|
| | **High** | Highest price of the day |
|
| | **Low** | Lowest price of the day |
|
| | **Close** | Closing price (Adjusted for splits/dividends) |
|
| | **Volume** | Number of shares traded |
|
|
|
| ## ⚙️ Usage
|
|
|
| This data is designed to be fed into a Feature Engineering pipeline (calculating RSI, MACD, etc.) before being used by the `TradingEnv`.
|
|
|
| ```python
|
| import pandas as pd
|
|
|
| # Load data
|
| df = pd.read_csv("AAPL.csv", parse_dates=['Date'], index_col='Date')
|
| print(df.head())
|
| ```
|
|
|
| ## 🔗 Related Models
|
|
|
| * **Trained Agents**: [AdityaaXD/Multi-Agent_Reinforcement_Learning_Trading_System_Models](https://huggingface.co/AdityaaXD/Multi-Agent_Reinforcement_Learning_Trading_System_Models)
|
| * **GitHub Repository**: [ADITYA-tp01/Multi-Agent-Reinforcement-Learning-Trading-System-Data](https://github.com/ADITYA-tp01/Multi-Agent-Reinforcement-Learning-Trading-System-Data)
|
|
|
|
|
| ## ⚠️ Source
|
|
|
| Data was sourced from Yahoo Finance API. Not intended for real financial advice or live trading decisions.
|
|
|
| ## 🛠️ Credits
|
|
|
| Collected by **Adityaraj Suman** for the Multi-Agent RL Trading System project.
|
|
|
