Everything we've written about backtesting. Read, then practise it free on StockYatra.
A beginner Python backtest with pandas: load candles, add moving averages, avoid look-ahead bias, include fees, and compare with buy and hold. Code explained line by line.
What quantitative trading is, how quants turn ideas into tested strategies, common factors like momentum and value, the risks of overfitting, and how beginners can start.
A practical algo trading roadmap: market basics, writing rules, backtesting, paper trading, Pine Script then Python, and automating within the rules.
Step-by-step backtesting: out-of-sample and walk-forward tests, overfitting, look-ahead and survivorship bias, fees, and a worked example with numbers.
Algorithmic trading explained: how rules become orders, the main types of algos, the rules in India, Nepal and the US, the risks, and how to practise free.
Why beginners should learn white-box (transparent) strategies first, and how to rebuild a typical "AI signal" as plain rules and backtest it, step by step.