my727finance 0.1.0

A numpy-style toolkit for quantitative and business finance: TVM math, technical indicators, risk metrics, financial ratios, statement analysis, costing, variance analysis, and audit analytics.

MY727FINANCE

A professional Python library for Quantitative Finance, Financial Analysis, Corporate Finance, Cost & Management Accounting, Audit Analytics, and Business Intelligence.

MY727FINANCE provides a NumPy-style API for financial calculations, allowing developers, accountants, auditors, analysts, researchers, students, and businesses to perform financial computations using a single, lightweight library.

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Designed & Developed By

T.P. Thangaprabhu
B.Sc., MBA, CIMA Adv Dip MA (UK), FCMA, ACPIFSD (IIT Roorkee)

Cost Accountant | Full Stack Developer | Data Scientist

Founder & Director
MY727INFOTECH INDIA PRIVATE LIMITED

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Installation

From PyPI

pip install my727finance

From Wheel

pip install my727finance-0.1.0-py3-none-any.whl

Development Installation

pip install -e ".[dev]"

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Quick Start

import my727finance as mf

ratio = mf.ratios.current_ratio(
    150000,
    75000,
)

print(ratio)

Output

2.0

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Example

import my727finance as mf

summary = mf.management_insights.financial_health_summary(
    current_assets=200000,
    current_liabilities=100000,
    total_debt=300000,
    average_shareholders_equity=500000,
    net_income=80000,
    revenue=1000000,
    average_total_assets=900000,
)

print(summary)

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Features

✔ Financial Mathematics

✔ Financial Ratio Analysis

✔ Financial Statement Analysis

✔ Technical Indicators

✔ Portfolio Risk Analytics

✔ Cash Flow Analysis

✔ Working Capital Analysis

✔ Cost Accounting

✔ Cost Volume Profit Analysis

✔ Standard Costing Variance Analysis

✔ Audit Analytics

✔ Management Insights

✔ NumPy-first API

✔ Pandas-friendly

✔ Extensive Input Validation

✔ Type Hints

✔ Comprehensive Automated Tests

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Module Overview

Module	Description
financial_math	Time Value of Money, NPV, IRR, Loan Calculations, Amortization
indicators	SMA, EMA, RSI, MACD, Bollinger Bands
risk	Returns, Volatility, Sharpe Ratio, Sortino Ratio, VaR, Beta
ratios	Liquidity, Profitability, Leverage, Efficiency and Valuation Ratios
statement_analysis	Vertical Analysis, Horizontal Analysis and Trend Analysis
cash_flow	Free Cash Flow, Cash Conversion Cycle and Cash Flow Ratios
working_capital	Working Capital Analysis and Efficiency Metrics
costing	Contribution Margin, Break-even Analysis and CVP
variance_analysis	Material, Labour, Overhead and Sales Variances
audit_analytics	Benford Analysis, Outlier Detection and Duplicate Detection
management_insights	DuPont Analysis, Altman Z-Score and Financial Health Summary

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Design Principles

MY727FINANCE has been designed with the following principles:

• Simple API
• High Performance
• NumPy-first
• Pandas-friendly
• Lightweight
• Well Documented
• Highly Tested
• Easy to Extend
• Enterprise Ready

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Dependencies

Only two external libraries are required:

• NumPy
• Pandas

This keeps the library lightweight and suitable for offline environments.

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Supported Python Versions

• Python 3.9+
• Python 3.10
• Python 3.11
• Python 3.12

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Testing

MY727FINANCE includes an extensive automated testing suite.

Current Quality Metrics

• 490 Automated Tests
• 490 Passed
• 0 Failed
• Approximately 88% Code Coverage

Run the tests:

pytest -v

Run coverage:

pytest --cov=my727finance --cov-report=term-missing

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Build

python -m build

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Publish to PyPI

python -m pip install --upgrade build twine

python -m build

twine upload dist/*

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Example Usage

import my727finance as mf

prices = [100,102,101,105,107,110]

returns = mf.risk.simple_returns(prices)

print(
    mf.risk.sharpe_ratio(returns)
)

print(
    mf.indicators.rsi(prices)
)

print(
    mf.ratios.current_ratio(
        250000,
        100000
    )
)

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Disclaimer

MY727FINANCE provides standard financial and accounting calculations for educational, analytical and professional purposes.

The results generated by this library should not be considered financial, investment, legal, accounting, taxation or audit advice.

Users should apply appropriate professional judgment and independently verify all calculations before making financial or business decisions.

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License

This software is licensed under the MY727FINANCE Community License v1.0.

Please read the LICENSE file before using or distributing this software.

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Copyright

Copyright © 2026

MY727INFOTECH INDIA PRIVATE LIMITED

All Rights Reserved.

Original Software Design & Development

T.P. Thangaprabhu

B.Sc., MBA, CIMA Adv Dip MA (UK), FCMA, ACPIFSD (IIT Roorkee)

Cost Accountant | Full Stack Developer | Data Scientist

Founder & Director

MY727INFOTECH INDIA PRIVATE LIMITED

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Contact

MY727INFOTECH INDIA PRIVATE LIMITED

Email: [e-mail]

Website: https://www.my727infotech.co.in