Why most backtests lie
Survivorship, look-ahead and overfitting: the three biases that make a bad strategy look brilliant, and how to catch each one.
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Plain-language explainers on systematic trading, written from real research on Indian market data. New articles are being published, so join the waitlist to be notified.
Survivorship bias in Indian stock data
Why testing on today's Nifty constituents overstates returns, and how point-in-time universes fix it.
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Slippage: the silent strategy killer
How a 1% gap between signal and fill on each side can turn a winning small-cap system into a losing one.
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The maths of drawdowns
A 50% loss needs a 100% gain to recover. Why drawdown control matters more than chasing returns.
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In-sample vs out-of-sample
How to split your data so you're testing a system, not memorising the past.
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Momentum rotation, explained
What relative-strength rotation is, why it has been studied for decades, and where it tends to break down.
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Standing aside in weak markets
How simple market-regime filters can reduce drawdowns, and what they cost in missed rebounds.
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The real cost of active trading in India
Brokerage, STT, exchange fees, stamp duty, GST and short-term capital gains tax, all added up.
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Why traders abandon good systems
The psychology of drawdowns, and why rule-following matters more than finding the "perfect" strategy.
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Note: Articles are for education only and use historical data. They are not research reports or recommendations, and any security mentioned is for illustration only. See our Disclaimer.