Deep Learning Systems for Bitcoin – Part 1

Since December, bitcoins can not only be traded at more or less dubious exchanges, but also as futures at the CME and CBOE. And already several trading systems popped up for bitcoin and other cryptocurrencies. None of them can claim big success, with one exception. There is a strategy that easily surpasses all other bitcoin systems and probably also all known historical trading systems. Its name: Buy and Hold. In the light of the extreme success of that particular bitcoin strategy, do we really need any other trading system for cryptos? Continue reading “Deep Learning Systems for Bitcoin – Part 1”

Build Better Strategies!

Enough blog posts, papers, and books deal with how to properly optimize and test trading systems. But there is little information about how to get to such a system in the first place. The described strategies often seem to have appeared out of thin air. Does a trading system require some sort of epiphany? Or is there a systematic approach to developing it?
   This post is the first of a small series in which I’ll attempt a methodical way to build trading strategies. The first part deals with the two main methods of strategy development, with market hypotheses and with a Swiss Franc case study. Continue reading “Build Better Strategies!”

Money and How to Get It

Contrary to popular belief, money is no material good. It is created out of nothing by banks lending it. Therefore, for each newly created lot of money there’s the same amount of debt. You’re destroying the money by repaying your credits. Since this requires a higher sum due to interest and compound interest, and since money is also permanently withdrawn from circulation by hoarding, the entire money supply must constantly grow. It must never shrink. If it still does, as in the 1930 economic crisis, loan defaults, bank crashes and bankruptcies are the result. The monetary system is therefore a classic Ponzi scheme. Continue reading “Money and How to Get It”