Category Archives: Slippage
I would be willing to wager large that 99% of traders have never calculated the slippage they are incurring when they trade. There are many different styles of traders, and some styles, such as scalping and daytrading make it difficult to calculate slippage. Beyond that, determining slippage is just not something that most traders get excited about, understandably so. However, tedium and drudgery should be no excuse, when it comes to diligent management of your money.
Working-stiff traders and system traders should be calculating slippage. Some of you, like me, are relegated to placing trades during “dumb money” times, like on the open. Maybe the market-on-close order is available through your brokerage. The benefit to trading the open and close is that you can compare the price you received to the nationally listed opening/closing price. The difference is the slippage.
There are three circumstances when slippage absolutely must be accurately determined.
1. You are trading a high-frequency strategy (at least one trade a day) that seeks to make many small profits.
2. You want to be totally committed to your system, mentally, physically, and psychologically. Total commitment can only be achieved once you have completely deconstructed the system (in my humble opinion), and accounting for slippage is part of that process.
3. You are considering purchasing a system or subscribing to a system from a vendor.
Here’s How I Calculate Slippage:
The spreadsheet above has the accounting for the Power Dip System trades during May. The entry and exit prices highlighted in the pleasing green hue denote trades that I actually took in my own account. For those trades, I used the actual price I received. Some of the prices matched the openings, some did not.
The prices in white represent trades that the system took, but that I did not take in my own account. Those cells were populated with data from the backtest results.
So now I have two figures: The actual profits/losses generated from the prices I received (with a few of the trades that I did not take) versus the profits/losses as reported from backtesting. Keep in mind that backtesting is always going to give you the open or closing price for all of your trades, regardless if there was enough liquidity for your order to fill.
In the top right hand side of the spreadsheet I have listed the Backtested Results and the Actual Results. The Difference is just over two hundred bones. Assuming the commissions are accurately calculated, the Difference is the slippage.
To calculate the slippage per share, I added up all the shares traded multiplied by two (remember they have to be bought and sold). I then divided the Difference by the Total Shares. Voila! The slippage isÂ $0.008 per share.
Even if you do not have access to fancy backtesting software, you can still calculate your slippage. Just create a new field in your spreadsheet (you do keep records, right?) for the open/close. Then, you can compare the open/close versus the price you actually received.
Do not neglect this crucially important but tedious task. Many traders love the commission schedules of the more popular brokers when each share only costs them $0.005, yet they are probably not at all aware that their slippage is twice the amount of their commissions.
Here is a quick example:
One version of the Power Dip, assuming $0.005 per share commissions and no slippage, has turned 100K initial equity into $1,291,559.30 for an annualized return of 25.06% since 1/1/1998.
The same version of the Power Dip, now assuming $0.005 per share commissions and $0.008 in slippage, has turned 100K initial equity into $905,094.92 for an annualized return of 21.23%. In this example, slippage has cost almost 400K, over a 10.5 year time span.
A 400K discrepancy might cause some heartache, had slippage not been accounted for early in the life of the system.