Tag
#indian-markets
7 articles
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Bulk and Block Deals Explained: What the Data Shows and What It Hides
Bulk and block deals are large exchange-disclosed trades in Indian stocks. Here is what each one is, how the disclosure regime works, and how to read the data honestly.
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How to Backtest a Stock Strategy in India: An End-to-End Walkthrough
Backtesting a stock strategy in India means testing explicit rules on historical data that was actually knowable at each date, with realistic costs, a fair benchmark, and honest reporting.
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Liquidity Constraints in Backtesting: Why a Paper Strategy Cannot Always Be Filled
Liquidity constraints decide whether a backtested trade could actually have happened. A guide to volume caps, capacity, thin stocks and the filters that keep a test honest.
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Momentum Investing in India: How It Is Practised, and Where It Hurts
Momentum investing buys what has already been going up, on a rule rather than a view. Here is how momentum is defined, how it is run in India, and its real risks.
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Quant Investing in India: The State of It, Plainly
Quant investing means decisions driven by measured data and explicit models. Here is what that looks like in India today, the data realities, and the honest limits.
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Survivorship Bias in Backtests: Why Today's Index Lies About the Past
Survivorship bias is testing a strategy on companies that survived to today. Delisted, merged, and dropped names disappear from the sample, so historical results improve for reasons unrelated to the strategy.
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Transaction Costs in Backtests: Brokerage, STT, Stamp Duty and GST
Transaction costs turn a paper strategy into a real one. A guide to the categories of Indian trading cost, how to model them in a backtest, and how turnover multiplies the drag.
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