Slippage is the disparity between the anticipated price of a trade and the price at which the trade is actually done. This price discrepancy happens in every market location, such as equities, bonds, currencies and futures. For traders like you, a thorough understanding of slippage is important as it affects trading costs and potential profits directly.
Slippage occurs when you put in an order to purchase or sell a stock at a given price, but the order is executed at another price. Assume that you need to purchase ABC company shares at Rs. 2,500 per share but your order is executed at Rs. 2,550. This means that you have incurred a slippage of Rs. 50 per share.
Slippage occurs in the stock market, particularly under conditions of high volatility or during the trading of less liquid shares. Rapid price movements on the Bombay Stock Exchange (BSE) and National Stock Exchange (NSE) may result in execution prices being different from expected prices.
Positive Slippage
This occurs when the price moves in your favour. For instance, if you place a buy order for ABC Motors at Rs. 400, but the order is filled at Rs. 395, you've received a better price than expected. This improves your profit potential when you sell.
Negative Slippage
This happens when the price moves against you. If you place a buy order for ABC Bank at Rs. 400, but your order is filled at Rs. 405, you have experienced negative slippage of Rs. 5 per share. This means you paid more than anticipated, reducing your potential profit.
Slippage is more common during times of great market volatility. When prices fluctuate quickly, the interval between ordering and order execution can witness considerable price changes. Significant economic announcements or news about a particular company can lead to short-term volatility, heightening the probability of slippage.
Larger trade orders may experience more slippage, especially in markets with limited liquidity. When you place a large order, it may need to be filled at multiple price levels, causing the average execution price to differ from the expected price.
Low liquidity in certain stocks increases the risk of slippage. This is more applicable to Indian mid-cap and small-cap stocks, as these tend to have lower volumes than large-cap stocks.
The timing of your trades matters. More volatility and therefore more slippage can occur at market opening and closing times on the Indian exchanges.
The time it takes for your order to reach the market and be executed can lead to slippage. This delay, known as latency, gives time for prices to fluctuate prior to your order being executed. Low internet speeds or old devices can cause higher latency and subsequently slippage.
Slippage in trading can cause unexpected costs for traders, reducing their overall trading performance and returns. For day traders and scalpers who make frequent trades with small profit margins, even minor slippage can significantly impact profitability.
Slippage can cause stop-loss orders to be activated at different levels than expected, potentially increasing losses. This is particularly problematic during fast-moving markets or gap openings.
Traders may lose potential earnings due to slippage if the market moves in their favour, but the trade is executed at a less favourable price.
Limit orders let you set the price at which you would want your order executed. Unlike market orders, which execute at the best available price, a limit order can only execute on your defined price or better, thus eliminating negative slippage. However, it carries the risk that your order may not be executed if the market price doesn't reach your limit.
For example, if you want to buy a stock at Rs. 700, you can set a limit buy order at that price. The order will only be executed when the market price reaches Rs. 700 or lower.
Timing your trades to avoid periods of high volatility can help reduce slippage. This includes avoiding trading during major economic announcements, company results, or other significant news events that could cause rapid price movements.
Trade liquid securities
Trading stocks with high liquidity can reduce slippage. Large-cap stocks like those in the Nifty 50 or Sensex typically have higher liquidity and lower slippage compared to mid-cap or small-cap stocks.
Implement algorithmic trading
For larger orders, consider using algorithmic trading strategies that break down big orders into smaller, more manageable pieces and execute them over time. This approach reduces the market impact of large trades and helps mitigate slippage. There are various platforms that offer algorithmic trading capabilities for traders.
While stop-loss orders themselves can be subject to slippage, they help limit potential losses by automatically closing positions when prices move against you. This prevents further losses if the market continues to move unfavourably.
Slippage is an unavoidable aspect of trading in stocks, especially in volatile markets like India. Knowing what leads to slippage and applying measures to reduce its effect can help traders like you in safeguarding their profits and cutting unnecessary expenses. Remember that your trading strategy should be flexible, allowing you to adapt to changing market conditions and consistently minimise slippage. With proper planning and risk management, slippage can be controlled, if not eliminated, from your trading experience.
Slippage tends to occur more frequently with market orders as they prioritise instant execution over price guarantees. Conditional orders like stop-loss and stop-limit orders are also highly susceptible to slippage, especially on overnight gaps or circuit breakers in the Indian markets. Iceberg orders (which reveal only part of your total order size) could minimise slippage by masking the true size of enormous institutional trades.
Indian F&O and options contracts are more likely to experience higher slippage compared to their cash equity counterparties. This is because of the inherent leverage and larger bid-ask spread. Expiry dates of F&O contracts usually suffer higher slippage because of higher volatility and rolling over trades. Index options such as Nifty and Bank Nifty options usually suffer lower slippage compared to single stock options because of their higher liquidity and narrower spreads.
Modern algorithmic trading platforms available to Indian retail traders can factor in expected slippage within their backtesting models so they give more realistic estimates of performance. Some advanced trading APIs offered by Indian brokers allow developers to define tolerance levels for slippage, which automatically adjust order types according to market conditions. Machine learning algorithms can analyse historical slippage patterns at different stages of the market to take optimal order routing and timing decisions.
This article is for informational purposes only and does not constitute financial advice. It is not produced by the desk of the Kotak Securities Research Team, nor is it a report published by the Kotak Securities Research Team. The information presented is compiled from several secondary sources available on the internet and may change over time. Investors should conduct their own research and consult with financial professionals before making any investment decisions. Read the full disclaimer here.
Investments in securities market are subject to market risks, read all the related documents carefully before investing. Brokerage will not exceed SEBI prescribed limit. The securities are quoted as an example and not as a recommendation. SEBI Registration No-INZ000200137 Member Id NSE-08081; BSE-673; MSE-1024, MCX-56285, NCDEX-1262.