Learning Hub
Practical resources on financial markets, trading technology and algorithmic thinking — written to explain how things work, with examples clearly labelled as examples.
Algorithmic Trading
Fetch historical NSE data with Python, build a 20/50 EMA crossover rule, detect entries and exits, and back-test it honestly before moving to paper trading.
5 min readBeginnerRead the guide
3 articles
Algorithmic Trading
Fetch historical NSE data with Python, build a 20/50 EMA crossover rule, detect entries and exits, and back-test it honestly before moving to paper trading.
1 Apr 2026 · 5 min read
Technical Analysis
How a candlestick is built from open, high, low and close prices, what common patterns show, and why no pattern should be used on its own.
1 Apr 2026 · 5 min read
Futures & Options
What Delta, Gamma, Theta and Vega measure, how they change as markets move and time passes, and how together they describe the risk of an option position.
1 Apr 2026 · 6 min read