Which Forex Pairs are Generally Trending and Which Ones Tend to Revert to the Mean In this article, I will systematically investigate the tendency of different Forex pairs to either trend or revert to the mean . I will do so by backtesting a simple trend-following strategy . (Code available on Github. See the end of this article.) “The trend is your friend.”, is a very well known trading adage. Another thing you read a lot in trading books, blogs, etc. is that the market only trends 20, 30, 40, xx% of the time. I was wondering how these ideas relate to the Forex markets. I asked myself the following questions: Do all forex pairs have the same trending tendency? Are there any pairs that are actually generally more mean-reverting in nature? And which Forex Pairs are generally trending and which ones tend to revert to mean? The reason I was asking myself these questions, is because I have experienced different behaviors between forex pairs while trading the same str
United States Mint cutting back on the coin production I believe everyone can maintain and build more wealth by holding gold. In this article, I will try to build my case for this belief. I will cite some bullish news facts for gold. Then I will move on to look at inflation and explain to you why I think inflation is theft and show you that it is robbing you of your wealth . I will conclude with some paragraphs on the Turkish Lira and my personal experience in Turkey that has shaped my way of thinking about money , wealth , and gold in particular.
I have another trading idea, that I will get into in my next post. But in order to test it, I will want to paper trade on plus500.com CFDs. So here is a little python script I wrote that gets all URLs to the mainly Yahoo and Google finance pages that are referenced for most of the 1500+ plus500.com CFDs on stocks, ETFs, indices, commodities, etc.. The script is on the end. It will write all referenced URL to a file. But first here are the Yahoo and Google ticker symbols that I filtered out. I will use the files of ticker symbols to programmatically scan for trade opportunities based on daily data.