Humans have been trying to time the stock market with fancy indicators since the beginning of time. But do they work? In this article I test five different market timing indicators. They are:

  • Coppock Curve
  • Zweig Breadth Thrust
  • Arms Index (TRIN)
  • McClellan Oscillator
  • No. Of New 52-Week Lows

These market indicators are all available with my historical database from Norgate Data. Read more »


Japanese candlestick patterns are useful because they allow traders to quickly visualise price action in the market. There are many different patterns and many different opinions on their effectiveness.

In this article we will look at a trading system that attempts to dynamically select the best performing candlestick pattern from the previous six months and trade that pattern for the next month. Amibroker formula will also be provided. Read more »


Financial visualisation website FINVIZ.com is one of my favourite trading tools. I use it every day to keep a tab on markets and look at charts.

The stock screener on Finviz is also one of the best I’ve found with more than 60 filters that can be applied to 7000 US stocks.

In the rest of this article, I will take a simple stock screen from Finviz and backtest it on historical data using the backtesting platform Amibroker. This will give us an idea of what to expect if we were to pick stocks according to the screen. Read more »


After a period of some thirty years of increasing bond prices, and with the Federal Reserve committed to a policy of gradually increasing interest rates, the time for long-based trading strategies on US treasuries could well be coming to an end.

Many, including former Fed chairman Alan Greenspan, have called the bond market a bubble ready to pop. With this in mind, this article presents a simple trading strategy that shorts the US ten year note using the ATR (average true range) indicator.

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Whatever your opinions are about the concept of back-testing, there are few better ways to build a trading system than through the back-testing of historical data.

Back-testing allows us to answer critical questions like ‘how many positions should I hold in a portfolio?’, ‘how much risk should I take?’ or ‘how effective was this strategy in the past?’ Read more »