# StockInfo
StockInfo is a Python package for loading historical stock data, calculating Simple Moving Averages (SMA) and Relative Strength Index (RSI), and writing the results to CSV files.
## Installation
You can install StockInfo using pip:
```bash
pip install stockinfoain1001
```
## Usage
### Loading historical data:
```python
from stockinfoain1001 import StockInfo
# Create an instance of the StockInfo class
stock_info = StockInfo()
# Load historical data from a CSV file (default: "orcl.csv" in the 'data' directory)
stock_info.load_data()
# Access the loaded data
data = stock_info.Data
```
### Calculating Simple Moving Averages (SMA):
```python
# Calculate SMA with a specified window size (default: 5)
sma_values = stock_info.calculate_sma(window_size=10)
# Access the calculated SMA values
print(sma_values)
```
### Calculating Relative Strength Index (RSI):
```python
# Calculate RSI with a specified window size (default: 14)
rsi_values = stock_info.calculate_rsi(window_size=14)
# Access the calculated RSI values
print(rsi_values)
```
### Writing Results to CSV:
```python
# Write SMA results to a CSV file
sma_header = ['Date', 'Close', 'SMA']
sma_data = [(stock_info.Data[i]["Date"], stock_info.Data[i]['Close'], sma) for i, sma in enumerate(sma_values)]
stock_info.write_file("sma_results.csv", sma_header, sma_data)
# Write RSI results to a CSV file
rsi_header = ['Date', 'Close', 'RSI']
rsi_data = [(stock_info.Data[i]["Date"], stock_info.Data[i]['Close'], rsi) for i, rsi in enumerate(rsi_values)]
stock_info.write_file("rsi_results.csv", rsi_header, rsi_data)
```
## Examples
### Basic Usage:
```python
from stockinfoain1001 import StockInfo
# Load historical data
stock_info = StockInfo()
stock_info.load_data()
# Calculate SMA and write results to CSV
sma_values = stock_info.calculate_sma(window_size=5)
sma_header = ['Date', 'Close', 'SMA']
sma_data = [(stock_info.Data[i]["Date"], stock_info.Data[i]['Close'], sma) for i, sma in enumerate(sma_values)]
stock_info.write_file("sma_results.csv", sma_header, sma_data)
# Calculate RSI and write results to CSV
rsi_values = stock_info.calculate_rsi(window_size=14)
rsi_header = ['Date', 'Close', 'RSI']
rsi_data = [(stock_info.Data[i]["Date"], stock_info.Data[i]['Close'], rsi) for i, rsi in enumerate(rsi_values)]
stock_info.write_file("rsi_results.csv", rsi_header, rsi_data)
```
### Custom Data File and Output Directory:
```python
from stockinfoain1001 import StockInfo
# Load historical data
stock_info = StockInfo()
stock_info.load_data()
# Calculate SMA and write results to CSV
sma_values = stock_info.calculate_sma(window_size=5)
sma_header = ['Date', 'Close', 'SMA']
sma_data = [(stock_info.Data[i]["Date"], stock_info.Data[i]['Close'], sma) for i, sma in enumerate(sma_values)]
stock_info.write_file("sma_results.csv", sma_header, sma_data)
# Calculate RSI and write results to CSV
rsi_values = stock_info.calculate_rsi(window_size=14)
rsi_header = ['Date', 'Close', 'RSI']
rsi_data = [(stock_info.Data[i]["Date"], stock_info.Data[i]['Close'], rsi) for i, rsi in enumerate(rsi_values)]
stock_info.write_file("rsi_results.csv", rsi_header, rsi_data)
```
## Contributing
Contributions are welcome! If you encounter any issues or have suggestions for improvements, please create an issue or submit a pull request.
## Licence
This project is licensed under the MIT License
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"description": "\n# StockInfo\n\nStockInfo is a Python package for loading historical stock data, calculating Simple Moving Averages (SMA) and Relative Strength Index (RSI), and writing the results to CSV files.\n\n## Installation\n\nYou can install StockInfo using pip:\n\n```bash\npip install stockinfoain1001\n```\n## Usage\n### Loading historical data:\n```python\nfrom stockinfoain1001 import StockInfo\n\n# Create an instance of the StockInfo class\nstock_info = StockInfo()\n\n# Load historical data from a CSV file (default: \"orcl.csv\" in the 'data' directory)\nstock_info.load_data()\n\n# Access the loaded data\ndata = stock_info.Data\n```\n### Calculating Simple Moving Averages (SMA):\n```python\n# Calculate SMA with a specified window size (default: 5)\nsma_values = stock_info.calculate_sma(window_size=10)\n\n# Access the calculated SMA values\nprint(sma_values)\n```\n### Calculating Relative Strength Index (RSI):\n```python\n# Calculate RSI with a specified window size (default: 14)\nrsi_values = stock_info.calculate_rsi(window_size=14)\n\n# Access the calculated RSI values\nprint(rsi_values)\n```\n### Writing Results to CSV:\n```python\n# Write SMA results to a CSV file\nsma_header = ['Date', 'Close', 'SMA']\nsma_data = [(stock_info.Data[i][\"Date\"], stock_info.Data[i]['Close'], sma) for i, sma in enumerate(sma_values)]\nstock_info.write_file(\"sma_results.csv\", sma_header, sma_data)\n\n# Write RSI results to a CSV file\nrsi_header = ['Date', 'Close', 'RSI']\nrsi_data = [(stock_info.Data[i][\"Date\"], stock_info.Data[i]['Close'], rsi) for i, rsi in enumerate(rsi_values)]\nstock_info.write_file(\"rsi_results.csv\", rsi_header, rsi_data)\n```\n## Examples\n### Basic Usage:\n```python\nfrom stockinfoain1001 import StockInfo\n\n# Load historical data\nstock_info = StockInfo()\nstock_info.load_data()\n\n# Calculate SMA and write results to CSV\nsma_values = stock_info.calculate_sma(window_size=5)\nsma_header = ['Date', 'Close', 'SMA']\nsma_data = [(stock_info.Data[i][\"Date\"], stock_info.Data[i]['Close'], sma) for i, sma in enumerate(sma_values)]\nstock_info.write_file(\"sma_results.csv\", sma_header, sma_data)\n\n# Calculate RSI and write results to CSV\nrsi_values = stock_info.calculate_rsi(window_size=14)\nrsi_header = ['Date', 'Close', 'RSI']\nrsi_data = [(stock_info.Data[i][\"Date\"], stock_info.Data[i]['Close'], rsi) for i, rsi in enumerate(rsi_values)]\nstock_info.write_file(\"rsi_results.csv\", rsi_header, rsi_data)\n```\n### Custom Data File and Output Directory:\n```python\nfrom stockinfoain1001 import StockInfo\n\n# Load historical data\nstock_info = StockInfo()\nstock_info.load_data()\n\n# Calculate SMA and write results to CSV\nsma_values = stock_info.calculate_sma(window_size=5)\nsma_header = ['Date', 'Close', 'SMA']\nsma_data = [(stock_info.Data[i][\"Date\"], stock_info.Data[i]['Close'], sma) for i, sma in enumerate(sma_values)]\nstock_info.write_file(\"sma_results.csv\", sma_header, sma_data)\n\n# Calculate RSI and write results to CSV\nrsi_values = stock_info.calculate_rsi(window_size=14)\nrsi_header = ['Date', 'Close', 'RSI']\nrsi_data = [(stock_info.Data[i][\"Date\"], stock_info.Data[i]['Close'], rsi) for i, rsi in enumerate(rsi_values)]\nstock_info.write_file(\"rsi_results.csv\", rsi_header, rsi_data)\n```\n## Contributing\nContributions are welcome! If you encounter any issues or have suggestions for improvements, please create an issue or submit a pull request.\n\n## Licence\nThis project is licensed under the MIT License\n",
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