Every strategy sounds convincing until it meets real market data. A moving average crossover, a Supertrend flip, an RSI bounce — on paper, all of them can look like a sure thing. Backtesting is how you find out which ones actually hold up.
Backtesting means running a trading strategy against historical market data to see how it would really have performed — including the costs that eat into every trade — before you risk real money on it.
Three Markets, One Engine
| Market | What you're testing against | Good for |
|---|---|---|
| Equity | Individual NSE stocks, real daily OHLCV data | Single-stock strategies |
| Index | Nifty 50, Bank Nifty, Nifty IT, Nifty Pharma, and other major indices | Broad-market behaviour vs. single stocks |
| Options | Real historical options chain data (daily OHLC per strike) | Short straddle, iron condor, strangles, or directional options trades |
Step 1 — Pick a Strategy
Search the library of 443 pre-built strategies — filterable by indicator, complexity, or trading style — covering everything from a simple EMA crossover to multi-condition breakout systems with Supertrend and Bollinger Band filters. Nothing fits what you have in mind? The no-code strategy builder lets you assemble your own logic from the same building blocks — no coding required.
Step 2 — Choose Your Instrument and Range
| Parameter | What it is | Beginner suggestion |
|---|---|---|
| Instrument | Stock, index, or options strategy | Start with an index like Nifty 50 |
| Timeframe | Daily OHLCV candles | Daily |
| Date Range | How far back to test | At least 3 years, covering bull, bear, and sideways phases |
Step 3 — Run the Backtest
The engine replays the historical data trade by trade and applies real-world costs on every single one:
- Brokerage — charged per leg, configurable to match your actual broker
- STT (Securities Transaction Tax)
- Exchange transaction charges
- Slippage — a realistic execution estimate, not a perfect fill
Risk management is applied automatically too — ATR-based stop losses, target levels, and risk-based position sizing — the same discipline a careful trader would use manually, applied consistently on every trade. Results are typically ready in under a minute.
Step 4 — Read the Verdict
Returns
- Total Return / CAGR — overall and annualised growth
- Profit Factor — gross profit ÷ gross loss; above 1.5 is healthy
Risk Metrics
- Max Drawdown — the worst peak-to-trough loss; this is the number that decides whether you'd actually stick with the strategy live
- Sharpe Ratio — risk-adjusted return; above 1.0 is good, above 2.0 is excellent
- Win Rate — % of profitable trades; even 40% can be profitable if wins are larger than losses
Trade Statistics
- Complete Trade Log — entry date, exit date, entry/exit price, P&L, and exit reason (target, stop loss, or expiry) for every trade
- Equity Curve — how your capital moved over the period, plotted against a buy-and-hold baseline
- AI-Generated Summary — a plain-language explanation of what worked, what didn't, and why, generated from the actual results
Common Backtesting Mistakes
- Ignoring costs — a strategy that trades frequently can look profitable gross and lose money net of brokerage and STT
- Testing too short a window — a few months of a strong trend flatters almost any trend-following system
- Cherry-picking the date range to fit a strategy you already like, instead of letting the data speak first
- Over-optimising — tuning parameters until one stock over one period looks perfect usually means the strategy memorised the past rather than found an edge
Frequently Asked Questions
What data does Momentum IQ use for NSE backtesting?
Real historical NSE OHLCV data for equities, indices, and options chains — not simulated or synthetic data.
Do I need to know how to code?
No. Pick a pre-built strategy from the library of 443, or use the no-code strategy builder.
Does it account for real trading costs?
Yes — brokerage, STT, exchange charges, and slippage are factored into every trade in every backtest.
Is this investment advice?
No. Momentum IQ is an educational research and backtesting tool. It does not provide investment advice, recommendations, or tips, and past performance does not indicate future results. Please consult a SEBI-registered investment advisor before making investment decisions.
