The more data you use for testing or training your strategy, the less bias will affect the test result and the more accurate will be the training. The problem: price data is always in short supply. Even shorter when you must put aside some part for out-of-sample tests. Extending the test or training period far into the past is not always a solution. The markets of the 1990s or 1980s were very different from today, so their price data can cause misleading results.
In this article I’ll describe a simple method to produce more trades for testing, training, and optimizing from the same amount of price data. The method is tested with a price action system based on data mining price patterns. Continue reading “Better Tests with Oversampling”
You’ve developed a new trading system. All tests produced impressive results. So you started it live. And are down by $2000 after 2 months. Or you have a strategy that worked for 2 years, but revently went into a seemingly endless drawdown. Situations are all too familiar to any algo trader. What now? Carry on in cold blood, or pull the brakes in panic?
Several reasons can cause a strategy to lose money right from the start. It can be already expired since the market inefficiency disappeared. Or the system is worthless and the test falsified by some bias that survived all reality checks. Or it’s a normal drawdown that you just have to sit out. In this article I propose an algorithm for deciding very early whether or not to abandon a system in such a situation. Continue reading “The Cold Blood Index”
Clients often ask for strategies that trade on very short time frames. Some are possibly inspired by “I just made $2000 in 5 minutes” stories on trader forums. Others have heard of High Frequency Trading: the higher the frequency, the better must be the trading! The Zorro developers had been pestered for years until they finally implemented tick histories and millisecond time frames. Totally useless features? Or has short term algo trading indeed some quantifiable advantages? An experiment for looking into that matter produced a surprising result. Continue reading “Is “Scalping” Irrational?”
For our financial hacking experiments (and for harvesting their financial fruits) we need some software machinery for research, testing, training, and live trading financial algorithms. There are many tools for algo trading, but no existing software platform today is really up to all those tasks. You have to put together your system from different software packages. Fortunately, two are normally sufficient. I’ll use Zorro and R for most articles on this blog, but will also occasionally look into other tools. Continue reading “Hacker’s Tools”
The most common trade method is ‘going with the trend‘. While it’s not completely clear how one can go with the trend without knowing it beforehand, most traders believe that ‘trend’ exists and can be exploited. ‘Trend’ is supposed to manifest itself in price curves as a sort of momentum or inertia that continues a price movement once it started. This inertia effect does not appear in random walk curves. Continue reading “Trend Indicators”