SMA-and-RSI-calculation

This Python script enables the computation of Simple Moving Averages (SMA) and Relative Strength Index (RSI) from a provided CSV dataset containing financial market data.

Prerequisites

Python 3.x CSV file containing financial data (e.g., 'orcl.csv')

Installation

Clone the repository or download the script files. Ensure Python 3.x is installed on your system.

Usage:

1) SMA Calculation (sma_calculation.py)

1. Calculating SMA

• Use calculate_five_day_sma(file_name) from sma_calculation.py to compute the 5-day Simple Moving Average for 'Close' prices in the financial dataset.
• The function returns a dictionary containing 'Date', 'Close', and 'SMA_5' values.

2. Writing SMA to CSV:

• Use write_sma_to_csv(data_list) from sma_calculation.py to write the calculated SMA data to 'orcl-sma.csv'.
• Pass the dictionary returned by calculate_five_day_sma() to this function.

2) RSI Calculation (rsi_calculation.py):

1. Calculating RSI

• Use calculate_twoweeks_rsi(file_name) from rsi_calculation.py to determine the 14-day Relative Strength Index based on price fluctuations.
• The function returns a dictionary containing 'Date', 'Close', and 'RSI_14' values.

2. Writing RSI to CSV:

• Use write_rsi_to_csv(data_list) from rsi_calculation.py to write the calculated RSI data to 'orcl-rsi.csv'.
• Pass the dictionary returned by calculate_twoweeks_rsi() to this function.

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# Import functions from sma_calculation.py and rsi_calculation.py
from sma_calculation import calculate_five_day_sma, write_sma_to_csv
from rsi_calculation import calculate_twoweeks_rsi, write_rsi_to_csv

# Calculate SMA
sma_data = calculate_five_day_sma('orcl.csv')

# Write SMA to CSV
write_sma_to_csv(sma_data)

# Calculate RSI
rsi_data = calculate_twoweeks_rsi('orcl.csv')

# Write RSI to CSV
write_rsi_to_csv(rsi_data)