AI strategy optimisation

Let AI find the hidden patterns that sharpen your options strategy.

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.

  • Pattern detection across market regimes
  • Automatic parameter optimisation
  • Every result backtested on real data

Backtest · NIFTY weekly

Short Iron Condor

Sample

Win rate

68%

Max drawdown

−9.4%

Sharpe

1.42
AI

Losses 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.

5 yearsof historical data
3 indicesNIFTY · BANKNIFTY · FINNIFTY
1-mindata granularity
Secondsto run a full backtest

What you get

Everything you need to trust a strategy, or drop it

⟲

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 analysis

Our AI reads every trade and tells you, in plain English, which market conditions help or hurt your strategy, and what to change.

◎

Risk you can see

Drawdowns, worst weeks, tail losses and margin use are visible up front, not buried at the bottom of a spreadsheet.

⇄

Compare side by side

Put a straddle, a strangle and an iron condor on the same chart and see which one fits your capital and risk appetite.

⚙

Rules, not guesswork

Set entry times, strike selection, stop-losses, targets and re-entry rules, then let the engine apply them the same way every time.

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Trade-by-trade log

Drill into every single trade with entry, exit, P&L and the reason it closed. Export it whenever you like.

How it works

From idea to evidence in three steps

  1. 01

    Describe your strategy

    Pick legs from the builder, or just type it out: "Sell 1% OTM NIFTY strangle every Thursday at 9:20, 30% stop-loss."

  2. 02

    Backtest on 5 years

    The engine replays your rules across every expiry in the dataset, minute by minute, with real costs included.

  3. 03

    Get AI insights

    See the results, then ask follow-up questions, like "What if I skip expiry weeks with RBI meetings?", and get answers in seconds.

Strategies

Popular strategies, ready to test

Start from a template, or build your own from scratch.

Short StraddleShort StrangleIron CondorIron Butterfly Bull Call SpreadBear Put SpreadCalendar SpreadRatio Spread Long StraddleJade LizardCovered CallCustom multi-leg

FAQ

Questions, answered

What data does IndianQuant use?

Five years of historical index options data for NIFTY, BANKNIFTY and FINNIFTY at one-minute granularity, including option premiums and the underlying.

Do I need to know how to code?

No. Build strategies with the visual builder, or describe them in plain English and the AI sets them up for you.

Does IndianQuant place trades for me?

No. IndianQuant is an analysis and backtesting tool. It helps you research strategies; you decide whether and how to trade them.

Are transaction costs included?

Yes. Backtests include brokerage, STT, exchange charges and configurable slippage, so results are closer to real-world outcomes.

Stop guessing. Start backtesting.

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