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README.md

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+---
+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.