Contents

How-to backtesting

Backtesting with Kite historical API

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Step-by-step procedure

Per the procedure infobox.

Libraries

  • backtrader (Python): Full backtesting framework.
  • vectorbt (Python): Vectorized fast backtests.
  • Custom code: Pandas + NumPy for simple strategies.

Common pitfalls

  • Lookahead bias: Using future data in signal generation.
  • Survivorship bias: Only testing on currently-listed stocks.
  • Optimistic fills: Assuming you got the closing price always.
  • Ignoring slippage: Real fills differ from candle close.
  • Ignoring costs: Brokerage, STT, exchange fees materially affect P&L.

Walk-forward validation

Train on 60-70% of data, test on rest. Avoid over-fitting.

Risk

Past performance doesn’t guarantee future results. Backtest results are not investment advice. For complex strategies with significant capital, consult a SEBI-registered Investment Adviser.

See also

External references

References

  1. Zerodha, Kite Connect historical API, kite.trade.
  2. backtrader project, Documentation, backtrader.com.

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