System Development

Volatility Trading

23 Dec: Mean Reversion Volatility Strategy

Ever wondered if you can design a profitable trading strategy by trading volatility ETFs ? Well, yes you can. Those ETFs are highly ineffective vehicles on a long term investment horizon. However short term strategies have shown to be a rewarding way to trade these ETFs. Before we move onto strategy design we have to choose two volatility ETFs for backtesting. We will backtest our strategies with VXX and XIV ETFs since they are the most widely traded ones and have enough trading volume to keep our slippage low and guarantee fast order execution.


15 Nov: Mean Reversion Trading System

The first step in building such a system is to define what mean reversion is. Mean reversion systems are looking for markets that are unusually high or low and will eventually return back to the mean. We want a system that looks at a particular market with a significant deviation from their average. Our previous research we did on opening range breakout systems already showed us that opening range breakouts define the trend for the rest of the day in about 30% of the time. Which means that out of 20 trading days we have 14 days of price patterns that are reverting back to the mean.

Haim Bodek

18 Oct: Video Wall Street Code

A thrilling documentary about a genius algorithm builder who dared to stand up against Wall Street. Haim Bodek aka The Algo Arms Dealer. Haim Bodek is a former Goldman and UBS trader who has come firmly out against how stock exchanges work with high frequency traders. Mr. Bodek had worked with rapid-fire trading firms to give them an unfair edge over everyday investors.

29 Sep: Trading with different time frames

Time frames are used in order to forecast future price trends. Many traders are missing out on this important aspect of trading by only looking at one time frame when trying to define a trend. Therefore its important to categorize trends as primary, intermediate and short term trends. As a rule of thumb the primary trend is filtering out much of the market noise and is giving us more reliable signals in which direction the market is heading

Russel 2000 Index

18 Jul: No Nonsense applied Statistics for Futures Markets

Trading is a tough business and coming up with the right idea for your trading strategy is sometimes a tedious task. It looks like a mountain you cannot climb. But don’t panic we are here to help. So today we talk about the futures market and how to do proper statistical analysis when trying to find your way to the promised land. Analyzing time series can be compared to the work of a butcher. There are some nice parallels here. Like a butcher who is cutting and processing the raw meat before he sells it you need to process the numbers and do your analysis. Bit by bit you are fragmenting the time series trying to find your edge.