Options Back Testing Report

Andrew FaldeSMB Options, Systems TradingLeave a Comment

(Please note the following is based on hypothetical trades using historic data.) The SPY Detector signal has a 20 year history of successfully navigating the underlying price change of the S&P 500. The signal is made up of 5 sub-systems that follow trend and momentum using proprietary indicators. Each of the 5 underlying systems makes up 20% of the total … Read More

Transactions Costs and Slippage

Andrew FaldeSystems Trading1 Comment

When running algorithmic back tests, it’s important to always include reasonable transaction costs and slippage assumptions. Here’s a quick example of how a seemingly great strategy can fall apart quickly when you leave these two critical factors out of the study. This is a simple range bound strategy for SPY that is setup to trade during the typically quiet mid-day … Read More

Back Testing an Options Strategy

Andrew FaldeSMB Options, Systems Trading1 Comment

Note: The following contains hypothetical results; simulated using historic data. As mentioned at a recent SMB Options Tribe meeting; a group of options traders are now working to back test a proprietary momentum signal using a variety of options trades. Several tests have come back with varying results… but we are seeing a common thread for options trades that show low … Read More

Free Signal for SPX

Andrew FaldeSMB Options, Systems TradingLeave a Comment

This coming Tuesday — April 8th — I’m going to speak to members of the SMB Options Tribe about the importance of having a pre-determined reason to reduce or remove risk from positive theta positions. In the heat of the moment, its hard to concentrate and make objective decisions. Having 50 years of market statistics behind your decision process makes … Read More

Volatility-Based Sizing

Andrew FaldeSystems TradingLeave a Comment

In running back tests, it’s important to understand the impact of volatility and position size. A consistent position size in number of shares or dollar amount can greatly skew historic results. If optimizing, this may lead to curve-fitting the system to periods of high volatility. Here are some examples of the impact of fixed-position sizing vs volatility-based sizing: The first … Read More