lottery-dcl 0.1.1

Lottery utility package

Stock Analysis Script (Lottery)

This Python script analyzes historical stock data stored in a CSV file (orcl.csv). It calculates and writes two technical indicators, the 5-day Simple Moving Averages (SMA) and the 14-day Relative Strength Index (RSI), to separate CSV files (orcl-sma.csv and orcl-rsi.csv).

Usage

1. Load Historical Data:

   • The script first loads historical stock data from a CSV file (orcl.csv in this example). The data is expected to have columns like 'Date', 'Open', 'High', 'Low', 'Close', 'Volume', etc. Make sure to adjust the csv_file_path variable with the correct path to your CSV file.

   csv_file_path = ' '  # Add orcl.csv file path
   historical_data = load_historical_data(csv_file_path)
   

2. Run the Script:

   • Execute the script to load the historical data, calculate technical indicators, and write the results to CSV files. Run the following command in the command line:

   python script_name.py
   

Output Files

Two CSV files (orcl-sma.csv and orcl-rsi.csv) will be generated with the calculated SMA and RSI values, respectively.

Functions

• load_historical_data(file_path):

  • Loads historical stock data from the specified CSV file into a list of dictionaries.

• calculate_sma(data, window):

  • Calculates the 5-day Simple Moving Averages (SMA) for the given historical data.

• calculate_rsi(data, window):

  • Calculates the 14-day Relative Strength Index (RSI) for the given historical data using a provided formula.

• write_to_csv(file_path, header, data):

  • Writes data to a CSV file with the specified header.

The Stracture of The File:

my-python-project │───README.md │─── setup.py │
│ └───Lotterry | init.py │ Lottery.py

Example of Usage

csv_file_path = ' '  # Add orcl.csv file path
historical_data = load_historical_data(csv_file_path)

sma_5 = calculate_sma(historical_data, window=5)
rsi_14 = calculate_rsi(historical_data, window=14)

sma_header = ['Date', 'SMA_5']
sma_data = [[row['Date'], sma] for row, sma in zip(historical_data, sma_5)]
write_to_csv('orcl-sma.csv', sma_header, sma_data)

rsi_header = ['Date', 'RSI_14']
rsi_data = [[row['Date'], rsi] for row, rsi in zip(historical_data, rsi_14)]
write_to_csv('orcl-rsi.csv', rsi_header, rsi_data)

print(historical_data[:5])
print("5-day SMA:", sma_5[:5])
print("14-day RSI:", rsi_14[:5])
print("Files 'orcl-sma.csv' and 'orcl-rsi.csv' written successfully.")