🔬 Quantitative Strategy Lab

NSE Backtesting Software: Test Strategies After Real Charges

Validate your technical indicators, EMA crossovers, VWAP, and breakout rules on clean NSE equity data from 2017 to date. Accurate gross vs net profit friction analysis.

Backtesting Disclaimer: Results are derived from historical NSE data from 2017-01-01 to 2026-08-15 (>30 days old), after brokerage, STT, exchange charges, SEBI fees, stamp duty and GST modelled as of 2026-09-15. Past performance does not guarantee future results.
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What the Backtest Lab gives you

9+ Years of Clean NSE Data

Granular 1-minute, 5-minute, 15-minute, and Daily bar data for NIFTY 50 and liquid NSE equities spanning multiple bull, bear, and consolidation cycles.

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High-Speed Execution Engine

Built on optimized vector computing. Run thousands of bar iterations and multi-parameter optimizations in milliseconds.

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Realistic Cost Engine

Evaluates broker commission (₹20 or 0.03%), STT on sell side (0.025%), exchange charges (0.00307%), stamp duty, and 18% GST.

7 popular strategies: net return after charges
44 EMA-1.34%
125 trades, 24.0% won, daily
96 trades, 29.2% won, daily
709 trades, 45.0% won, 15-minute
NR7-16.60%
126 trades, 24.6% won, daily
1,623 trades, 42.0% won, 15-minute
9 / 15 EMA-74.27%
6,385 trades, 25.3% won, 5-minute
5 EMA-84.39%
7,417 trades, 35.5% won, 5-minute
Our own engine run: 15 NIFTY 50 stocks, 2025-10-07 to 2026-10-07, one ₹1,00,000 account, after every Indian charge and slippage. Each bar is the result after every charge; the full study lists every trade.

Why Most Indian Traders Fail at Backtesting

Many strategy testers display attractive gross profits because they ignore the friction of Indian statutory taxes. On high-frequency intraday trading, STT, exchange turnover fees, and GST can consume over 30% to 50% of gross earnings.

No published figures for this strategy yet. We will not print win rates or P&L we have not produced from a real run on real candles. Run it yourself in the Backtest Lab — the same NSE history, the same brokerage, STT, exchange, SEBI, stamp duty and GST — and the numbers you see will be your own.
Run this in the Backtest Lab

Frequently Asked Questions

What timeframes can I backtest on LeadFinn?
LeadFinn supports 1-minute, 5-minute, 15-minute, and 1-day timeframe resolutions for NSE cash equities.
Do I need programming or Python knowledge to backtest?
No. LeadFinn provides a visual strategy builder where you can configure indicators, entry conditions, stop loss, take profit, and session windows with zero code. Python export is also supported for quant developers.
How does LeadFinn handle lookahead and survivorship bias?
LeadFinn executes entry/exit triggers strictly on the next bar's open price or upon threshold crossing without peeking into future candle closes.

What you can test

What every result shows

Each run lists every trade with its entry, exit, the reason it closed, the charges it paid and its profit or loss, plus the money curve, the biggest fall from a peak and the return after all costs. You can open any trade on a chart, compare two runs side by side, export the trade list to Excel, and tune a strategy's settings, with the tuned result checked on months the tuning never saw.

Charges (brokerage, STT, exchange charges, SEBI fee, stamp duty and GST), fills and slippage follow the rules on how we test. That is why our study of seven popular strategies shows each one's real result after charges: the costs are in every number.