Realistic backtests
Run any multi-leg strategy over five years of data, with brokerage, slippage and STT included, so the numbers match what you'd actually get.
AI strategy optimisation
IndianQuant's AI scans minute-level NSE options history to spot the market conditions where your strategy wins and loses. It then tunes strikes, stop-losses and entry times to optimise it, and backs every suggestion with a backtest.
Backtest · NIFTY weekly
Short Iron Condor
Win rate
68%Max drawdown
−9.4%Sharpe
1.42Losses cluster in weeks with event-driven gaps. Adding a VIX > 18 filter cut drawdown by about a third in this sample.
Illustrative example only, not real results.
What you get
Run any multi-leg strategy over five years of data, with brokerage, slippage and STT included, so the numbers match what you'd actually get.
Our AI reads every trade and tells you, in plain English, which market conditions help or hurt your strategy, and what to change.
Drawdowns, worst weeks, tail losses and margin use are visible up front, not buried at the bottom of a spreadsheet.
Put a straddle, a strangle and an iron condor on the same chart and see which one fits your capital and risk appetite.
Set entry times, strike selection, stop-losses, targets and re-entry rules, then let the engine apply them the same way every time.
Drill into every single trade with entry, exit, P&L and the reason it closed. Export it whenever you like.
How it works
Pick legs from the builder, or just type it out: "Sell 1% OTM NIFTY strangle every Thursday at 9:20, 30% stop-loss."
The engine replays your rules across every expiry in the dataset, minute by minute, with real costs included.
See the results, then ask follow-up questions, like "What if I skip expiry weeks with RBI meetings?", and get answers in seconds.
Strategies
Start from a template, or build your own from scratch.
FAQ
Five years of historical index options data for NIFTY, BANKNIFTY and FINNIFTY at one-minute granularity, including option premiums and the underlying.
No. Build strategies with the visual builder, or describe them in plain English and the AI sets them up for you.
No. IndianQuant is an analysis and backtesting tool. It helps you research strategies; you decide whether and how to trade them.
Yes. Backtests include brokerage, STT, exchange charges and configurable slippage, so results are closer to real-world outcomes.
Create your free account and run your first backtest in minutes.
Already have an account? Log in to pick up where you left off.