Amibroker – From Backtest to Trading – Going Live

Going Into Production  So you have a system in Amibroker that you backtested and you are happy with. You now want to go “into production”.How do you get your signals? How do you keep track of open orders, position sizes, ranking rules, etc. It’s not as easy as it may seem. Explore or Scan? If …

Read moreAmibroker – From Backtest to Trading – Going Live

Uncover Hidden Market Relationships Using Fuzzy Logic

In the previous posts (pt1, pt.2,  pt.3) we talked a bit about how to take various indicators and fuzzify them. Now I will show how we can quickly test for relationships in indicators.So the question is: Can we only use RSI(3) and RSI(14) (short term and medium term Relative Strength Index) to trade the S&P500?So …

Read moreUncover Hidden Market Relationships Using Fuzzy Logic

The case for Fuzzy Logic in Trading – Pt. 2: Amibroker

Backtesting Fuzzy Logic in Amibroker In pt.1 we backtested a “fuzzified” trading strategy in Matlab (read part 1): Buy when RSI(3) is Low and it’s before Expiration week. Although it was easy to develop this fuzzy model in Matlab, due to the intuitive GUI, it is difficult to get meaningful backtest results, visual signals, statistics …

Read moreThe case for Fuzzy Logic in Trading – Pt. 2: Amibroker