Event Based Trading India — Backtest Results

Event Based Trading India — backtest results

Backtests of Event Based Trading India on Indian data (NIFTY 50 daily candles, 2018-2025) show a positive expectancy with material drawdowns. The exact numbers depend on assumptions about slippage, brokerage, and STT — be skeptical of any backtest that claims monotonic equity curves. We assume 5-10 bps slippage on liquid names and 20-40 bps on illiquid F&O strikes. Past performance does not guarantee future results.

For Indian retail traders, Event Based Trading India works best when you remove emotion from execution. SEBI's 2025 study found 91% of retail F&O traders lose money — and 96% of profits go to algorithmic traders. The structural gap comes from continuous monitoring, unemotional execution, and disciplined risk controls that manual trading simply cannot deliver consistently. Automation closes that gap.

Sleeping Trade's implementation of Event Based Trading India adds: lot-size rounding (so you never accidentally place a half-lot), expiry-aware logic (so weekly options strategies handle Thursday/Wednesday correctly), and STT-aware exit rules (so you don't pay extra tax on naked option sells). These are small details that add up to meaningful P&L over a year.

Event Based Trading India is not a get-rich-quick play. It is a systematic edge that, executed without emotion, has historically produced positive expectancy. F&O involves substantial risk of loss. Past performance does not guarantee future results. We target 5-7% monthly across the platform — some months will be negative.

As with any systematic approach, the edge comes from disciplined execution over hundreds of trades, not from any single setup. Backtest before deploying capital, paper-trade for at least one expiry cycle, and size positions so that a string of losses does not dent your conviction. Risk management is the strategy; signals are just the trigger. The most common failure mode for Indian retail traders running this strategy is sizing too aggressively after early wins, then refusing to honor the system's stop loss when drawdown arrives. Automation removes that operator failure by enforcing the same rules in win streaks and loss streaks alike. That consistency, repeated across every session, is what compounds — not any single profitable trade.