BeginnerUtilities & ToolsPython

Run this module

cd "Data Processing"
python "data_validation_utils.py"

Data Processing Utilities¶

This folder contains utilities for data processing, validation, and manipulation in financial applications.

Available Utilities¶

Data Validation (`data_validation_utils.py`)¶

Email, phone number, and stock symbol validation
Date format validation
Numeric range validation
String sanitization

String Manipulation (`string_utils.py`)¶

Case conversion (camelCase ↔ snake_case)
String truncation
Number extraction from text
Currency formatting and cleaning
URL slug generation

Usage¶

# Data validation
from data_validation_utils import validate_email, validate_stock_symbol
from string_utils import camel_to_snake, format_currency

# Validate inputs
if validate_email("user@example.com"):
    print("Valid email")

# Convert naming conventions
snake_case = camel_to_snake("calculateProfit")
print(snake_case)  # "calculate_profit"

# Format currency
formatted = format_currency(1234.56)
print(formatted)  # "$1,234.56"

Installation¶

No additional dependencies required. Uses only Python standard library.

Testing¶

Run each utility directly to see demonstrations:

python data_validation_utils.py
python string_utils.py

Common Use Cases¶

Input Validation: Validate user input in trading applications
Data Cleaning: Clean and normalize financial data
String Processing: Format text for reports and displays
Currency Handling: Process monetary values correctly
API Integration: Validate data from external APIs

Continue in Utilities & Tools¶

Core Utilities

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

This utility does NOT use any external APIs. All exchange rates are entered manually for learning and experimentation.
Economic Calendar

This utility does NOT use any external APIs. All data is managed locally for learning and experimentation.
Historical Data

A Node.js script that fetches historical bars (OHLCV data) for stocks or crypto from the Alpaca Market Data API. It prompts interactively for the symbol type, symbol, timeframe, and date range, then prints the results as JSON.
Logging

A pair of minimal, dependency-light logging utilities implemented in both Python and JavaScript. Each supports adding, reading, editing, and deleting log entries through an interactive command-line menu. All entries are persisted to a plain-text log.txt file in the working directory.
Market Data

This folder contains utilities for processing, analyzing, and fetching market data for financial applications.

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