Slippage
The difference between the price expected when an order is sent and the price at which it actually executes.
Formula
Slippage = Actual Average Execution Price - Intended Price (sign adjusted for buy or sell)
Unit
₹
In depth
Slippage combines two separate effects: the market moving between decision and execution, and the order itself walking up or down the book. It is systematically adverse rather than random, because a large order pushes price against itself and because urgent orders are placed precisely when the market is moving. This is the single largest reason backtested strategies underperform live, since a backtest usually fills at the last traded price. Slippage grows with order size relative to depth and with volatility, so the same strategy degrades sharply when scaled up.
Worked example
A strategy is backtested at ₹250 fills and averages 0.15% slippage live. Over 200 round trips a year, that is 200 x 2 x 0.15% = 60% of turnover in cost — enough to turn a profitable backtest into a losing account.
Illustrative figures, chosen so the arithmetic is easy to follow. Not a live price and not a valuation of any company.
Educational reference only
This entry explains what “Slippage” means. It is not investment advice and not a recommendation to buy or sell any security. Any numbers above are illustrative, not live prices, and nothing here predicts price direction or rates a stock. Consider your own circumstances and consult a SEBI-registered investment adviser before acting.