When building software for quantitative finance, banking analytics, or algorithmic trading, there's often a temptation to over-engineer. We pull in massive, heavy frameworks when all we really need is clean, modular, and dependency-light Python code.
Over the past few months, I set out to solve this exact problem by building and curating a comprehensive repository of 100+ standalone, copy-paste ready Python scripts spanning core banking, credit risk scoring, quantitative risk metrics, and technical indicators.
🌐 Live Library: PyQuant Library
📦 GitHub Master Index: Awesome Python Quant Scripts
Why Focus on Standalone Scripts?
Most quants, developers, and financial analysts don't want a monolithic framework that takes hours to configure. They need modular code that can be dropped directly into Jupyter Notebooks, automated trading bots, or internal banking dashboards.
By sticking to standard, robust libraries (pandas, numpy, scipy, yfinance), these scripts remain fast, transparent, and easy to audit.
Core Modules Covered in the Library
1. Core Banking & Credit Risk Modeling
In traditional banking and lending, having quick access to core calculation scripts saves hours of spreadsheet chaos. The library includes:
- Credit Risk Scoring & Probability of Default (PD) Models (Basel-aligned expected loss frameworks)
- Corporate Credit Appraisal & Financial Ratio Calculators (DSCR, ICR, Leverage)
- Loan Amortization & Prepayment Cashflow Engines
- NPA & Delinquency Bucket Migration (DPD) Trackers
2. Quantitative Finance & Portfolio Risk
For portfolio managers and quants looking to measure tail risk and optimize allocations:
- Markowitz Portfolio Optimization & Efficient Frontier
- Value at Risk (VaR) & Expected Shortfall
- Monte Carlo Stock Price & Portfolio Simulations
- Option Pricing & Greeks (Black-Scholes bisection solvers)
3. Technical Indicators & Algo-Trading Signals
Clean calculation scripts for trend, momentum, and volatility:
- Supertrend & ATR Trailing Stop Confluence
- 200/50 EMA Trend Filters & Crossovers
- Intraday VWAP & Anchor VWAP Calculators
- Bollinger Band Squeeze Breakout Scanners
Check Out the Complete Collection
Every single script in the library is 100% free to read, copy, and adapt for your own projects.
- Browse all 101 pages live: pyquant-library.netlify.app
- Explore code & star the repo: GitHub Repository
If you're building financial tools or trading automation in Python, check it out and let me know what scripts you'd like to see added next!
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