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Stocks & Commodities V. 31:8 (10-14): Trading By The Numbers by Sami Khan
Stocks & Commodities V. 31:8 (10-14): Trading By The Numbers by Sami Khan
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Trading By The Numbers by Sami Khan
Beyond Visual
Many traders are happy to backtest their trading systems, but how often do they study the statistics behind their trading setups prior to implementing a strategy? Heres a look at how taking this step can help determine whether its worth developing a trading system based on an idea.
When you make a decision, chances are you will look at what happened the last time to see what to expect this time. For example, you would avoid traveling on a route to work that has been congested in the past, or you would avoid eating foods that you havent liked before. Similarly, if you are looking to trade based on a trading system, you would want to see past information about the system. Typically, this would be done by performing a backtest.
Are backtests the best action to take?
Lets take a step back. For simplicity, say the system you are considering will have long-only entries, and you have a well defined setup. Before performing a complete backtest of trades, ask yourself, When I have seen this setup in the past, did the price usually go up afterward?
Note that Im not talking about actual trades taken here Im talking about understanding the typical price distribution after a setup has occurred.
For this long-only system to be of any interest, price must have usually gone up after the setup. But what does it mean to say that price must have usually gone up? Fortunately, these days, there are huge amounts of financial data available, making it easy to find when the setup has occurred in the past. After locating an occurrence, you can look forward in the data and sample subsequent price action. Then you can perform a standard statistical test to see whether it is statistically sound to say that price is likely to go up after the setup.
Beyond Visual
Many traders are happy to backtest their trading systems, but how often do they study the statistics behind their trading setups prior to implementing a strategy? Heres a look at how taking this step can help determine whether its worth developing a trading system based on an idea.
When you make a decision, chances are you will look at what happened the last time to see what to expect this time. For example, you would avoid traveling on a route to work that has been congested in the past, or you would avoid eating foods that you havent liked before. Similarly, if you are looking to trade based on a trading system, you would want to see past information about the system. Typically, this would be done by performing a backtest.
Are backtests the best action to take?
Lets take a step back. For simplicity, say the system you are considering will have long-only entries, and you have a well defined setup. Before performing a complete backtest of trades, ask yourself, When I have seen this setup in the past, did the price usually go up afterward?
Note that Im not talking about actual trades taken here Im talking about understanding the typical price distribution after a setup has occurred.
For this long-only system to be of any interest, price must have usually gone up after the setup. But what does it mean to say that price must have usually gone up? Fortunately, these days, there are huge amounts of financial data available, making it easy to find when the setup has occurred in the past. After locating an occurrence, you can look forward in the data and sample subsequent price action. Then you can perform a standard statistical test to see whether it is statistically sound to say that price is likely to go up after the setup.
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