Algo Trading for Beginners in India: A 30-Day Plan
A first-month plan for algo trading beginners in India: learn the plumbing, write one strategy, backtest it with costs, then paper trade with loss limits.
9 min
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A first-month plan for algo trading beginners in India: learn the plumbing, write one strategy, backtest it with costs, then paper trade with loss limits.
9 min
ChatGPT can't predict the stock market, but it can explain, draft code and write rules. Where chatbots help Indian traders, and the bugs they quietly add.
10 min
Can you make money with algo trading in India? SEBI's data on who profits in F&O, what automation can and can't do, and the cost maths that sinks scalpers.
9 min
Nifty's Tuesday expiry explained: theta, gamma, SEBI's extra margin, four expiry day strategies with honest trade-offs, and a worked straddle payoff.
11 min
Overfitting in trading, diagnosed: why the best of 200 backtests looks good by luck, plateau vs spike, walk-forward, deflated Sharpe and a smell test.
10 min
Where to get NSE historical data free in 2026: NSE's bhavcopy archives, broker APIs, yfinance, jugaad-data, Kaggle and TradingView, and the traps in each.
10 min
What institutional-grade backtesting means — point-in-time data, no look-ahead, real Indian costs, walk-forward — and how Indian traders get it without code.
7 min
The 10 best websites to backtest trading strategies in India — options backtesters, no-code platforms and chart tools — compared honestly for NSE traders.
5 min
A practical framework for choosing the best algo trading platform in India — backtesting quality, broker support, costs and safety, compared honestly.
5 min
What Monte Carlo analysis is, why one backtest equity curve misleads, and how trade shuffling reveals realistic drawdowns — explained for Indian algo traders.
8 min
Backtesting and paper trading validate different things. What each proves, what each misses, and the correct validation sequence for NSE strategies.
7 min