Education
Learn algo trading
Algorithmic trading has a reputation for being complicated, and most of that reputation is unearned. The core of it fits in one sentence: you write down your trading rules precisely, test them against history and live markets, and only then let software execute them through your own broker account. Everything else — indicators, backtests, Monte Carlo runs, risk limits — is detail in service of that loop.
This page collects everything we have written to teach it properly, in the order a beginner should read it. Start with the complete guide for the full picture, keep the glossary open in another tab for unfamiliar terms, and go deeper with the topic guides as each stage of the workflow becomes relevant to you. When you are ready to choose tools, the round-ups and comparisons apply the same criteria to the whole Indian market — including to our own product.
Everything here is free, educational and not investment advice. Trading carries market risk, automated or not.
Where to begin
Start here
Algo trading in India: the complete guide
One long, plain-English walkthrough of the whole journey — what algorithmic trading is, the SEBI framework in brief, and the idea-to-live-deployment workflow with risk controls.
Read →Reference
Algo trading glossary
Every term you will meet — backtesting, drawdown, slippage, walk-forward and more — defined in a few plain sentences each.
Read →All articles
The INDfolio AI blog
Tutorials, broker guides and platform comparisons from the research desk, updated as Indian market rules and tools evolve.
Read →Key guides, stage by stage
Six articles that map onto the workflow — legality first, then automation, validation, risk and strategy design.
Is algo trading legal in India?
What SEBI actually regulates, and what "SEBI-approved" really means.
How retail traders can automate trading
The step-by-step roadmap from manual trading to a running system.
Backtesting vs paper trading
What each validation stage proves — and what it cannot.
Risk management for algo trading
Position sizing, daily loss caps and square-off rules, with numbers.
Monte Carlo analysis explained
Why one backtest is one version of history, and how to see the range.
Best indicators for algo trading
What each popular indicator measures, and when it stops working.
The fastest way to learn is to test an idea.
Describe a strategy in plain English and backtest it free on NSE historical data — no coding, no card, no live money.