Finance, FinTech and Quantitative Analysis
Analyse markets, build trading research tools and manage risk.
Intermediate
This is an overview — pick a sub-topic below.
Sub-topics (6)
Quantitative Finance Concepts
Returns, volatility, portfolios, risk metrics and backtesting.
Intermediate♥ 0🔖 0💬 0
Backtesting and Algorithmic Trading
Test strategies on historical data before risking money.
Advanced♥ 0🔖 0💬 0
Portfolio Optimization and Risk Management
Choose asset weights for return vs risk; measure VaR and drawdowns.
Advanced♥ 0🔖 0💬 0
Market Data Libraries
Download prices and fundamentals: yfinance, pandas-datareader, Alpha Vantage, broker APIs.
Easy♥ 0🔖 0💬 0
TA-Lib, pandas-ta and QuantLib
Technical indicators (TA-Lib, pandas-ta) and derivatives pricing/fixed income (QuantLib).
Advanced♥ 0🔖 0💬 0
Fraud Detection, Credit Scoring and Insurance Analytics
Apply ML to financial risk — anomaly detection for fraud, scorecards for credit.
Advanced♥ 0🔖 0💬 0
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