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Run this module

cd "Core Utilities"
python "datetime_utils.py"

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Core Utilities

This folder contains core mathematical and date/time utilities that form the foundation for quantitative finance calculations.

Available Utilities

Date/Time (datetime_utils.py)

  • Timestamp generation and parsing
  • Trading day calculations
  • Market hours checking
  • Duration formatting

Mathematical (math_utils.py)

  • Percentage calculations
  • Compound interest and CAGR
  • Data normalization
  • Moving averages
  • Linear regression

Usage

# Date/time operations
from datetime_utils import get_trading_days, is_market_open, format_duration
from math_utils import calculate_cagr, moving_average, linear_regression

# Trading operations
trading_days = get_trading_days(start_date, end_date)
if is_market_open():
    print("Market is open!")

# Mathematical calculations
cagr = calculate_cagr(1000, 1500, 3)
ma = moving_average(prices, 20)
slope, intercept = linear_regression(x_data, y_data)

Installation

No additional dependencies required. Uses only Python standard library.

Testing

Run each utility directly to see demonstrations:

python datetime_utils.py
python math_utils.py

Common Use Cases

  • Time Analysis: Calculate trading days and market hours
  • Financial Calculations: Perform core mathematical operations
  • Data Analysis: Normalize and analyze time series data
  • Trend Analysis: Calculate moving averages and regressions
  • Investment Planning: Calculate compound growth and returns

Continue in Utilities & Tools

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