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.

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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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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.

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

Tested on NIFTY 50 universe with ₹10,00,000 initial capital per strategy test (2017-01-01 to 2026-08-15). For research and educational benchmarking only.

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.