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Describe any trading strategy or option spread below to build, backtest, and automate your trading bot.

Quant Strategy Blueprints (129 Schemas)1-Click Direct Node Load
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Performance Analytics & Tearsheet

Performance AnalyticsNIFTY50 • 3MO

AI Quantitative Strategy

Backtest Simulation•NSE / BSE Historical Data (3 Months)
Simulation Mode
Total Return

Actual P&L

N/A
CAGR

Sub-1Y period

N/A
Sharpe

Per unit risk

N/A
Sortino

Downside risk

N/A
Calmar

CAGR / Max DD

N/A
Max DD

Peak-to-trough

N/A
Win Rate

Profitable fills

N/A
Profit Factor

Wins / losses

N/A
Trades

Closed orders

N/A

Cumulative Equity Path

INR Scale
No Historical Backtest Run Yet

Describe your strategy above or pick a preset, then click Generate Strategy to simulate an authentic exchange equity walk.

Simulation Realism & Leverage Note: Historical backtest returns are hypothetical. Period return: N/A. Live results depend on position sizing, leverage, execution slippage, taxes, turnover charges, and changing margin requirements.
Underwater Drawdown ProfilePeak-to-Trough %
Drawdown data is not available for this period.

NSE / BSE Market Microstructure & Regulatory TelemetryNSE • BSE

Instrument: NIFTY50• Direct Market Access (DMA) • SEBI Algorithmic Architecture

Awaiting Strategy Backtest
Beta to NIFTY 50
— (Run backtest)

Computed dynamically against NIFTY 50 benchmark upon backtest

Overnight Gap Risk
— (Run backtest)

Analyzes overnight gap vs intraday holding risk

Statutory Taxes & STT
~0.025% All-in

Real-world statutory friction subtracted net-of-tax from realized PnL

Square-off Protocol
Positional (CNC/NRML)

Execution timeline configured for this strategy specification

Execution Trade Ledger Preview

Showing initial simulated fills with slippage & STT charges

0 Total Trades
Entry TimeAssetSideQtyExecution PriceExit TimeExit TriggerNet P&L (₹)Return %
Viewing preview of 8 trades. Unlock the Pro Quant Suite for complete audit logs, Monte Carlo envelopes, and 1-click CSV/JSON export.