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⚡ TickerPulse Alpha Lab • Quantitative Backtesting & Live Scanner

Strategy Backtester & Simulator

Backtest algorithmic strategies on historical daily candles. Analyze win rates, equity compounding curves, and maximum drawdowns before committing real money.

⚡ Trade Affordability & Sizer → 📓 AI Journal
Popular:
Win Rate %
33.3%
1 Wins / 2 Losses (3 Trades)
Total Strategy Return
+5.36%
Benchmark Buy & Hold: +19.5%
Profit Factor
1.52
Avg Hold: 13.7 days / trade
Max Drawdown (MDD)
-10.4%
Peak-to-trough capital risk

Capital Growth Curve: VIPIND

Strategy vs Buy & Hold Compounding

Strategy Equity Buy & Hold Benchmark

Simulated Trade Execution Log

Chronological breakdown of simulated orders, hold times, and P&L outcomes.

Entry Date Entry Price Exit Date Exit Price Days P&L % P&L (₹) Outcome Exit Reason
2026-09-07 ₹312.30 2026-09-16 ₹367.03 9d +17.52% +₹15,710 WIN End of Data
2026-07-28 ₹303.53 2026-08-13 ₹286.50 16d -5.61% -₹5,329 LOSS Stop Loss
2026-06-16 ₹285.93 2026-07-02 ₹271.56 16d -5.03% -₹5,026 LOSS Stop Loss
TickerPulse Risk Rule #1
A 70% win-rate strategy will still ruin your capital if you over-leverage.
Always size your position so that your maximum stop-loss loss is strictly $\le$ 1% of your total account capital.
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