Great teaching style.
Very engaging.
Material was presented in interesting manner and focused more on real life than theory.
Trading Order Out of Chaos
by
Great teaching style.
Very engaging.
Material was presented in interesting manner and focused more on real life than theory.
A favorite investment technique that has been publicized widely is trend-following. Everybody has heard of the Turtle Traders, a group of novices trained by Richard Dennis in the art of channel-breakouts, a system developed decades earlier by Richard Donchian. In this article we will look at the current performance of trend-following in the Western futures markets, and see if we can’t find better performance in other markets. As previous mentor of mine always said: it’s not so much ab… Read more
I’ve written several articles on what happens during news announcements, and associated quick trading strategies. But from a regular trader’s perspective, surely there must be another way to approach these things. In this article I’ll given an overview as to how to trade these news announcements in a slightly more leisurely way, and see if there is anything to be had out of trading against market hysteria. The instrument of choice will be the EURUSD, though you can pick any other inst… Read more
This XLS accompanies the article on Effects of Lunar Phases and Solar Eclipses on Currency Markets. It includes the relevant astronomical data as well as the currency data and the backtest so that you can experiment with the data yourself.
Wouldn’t it be great to forecast what the outcome economic news-releases would be? News trading is a favourite for many traders, professionals and novice alike. For the long-term trader who holds positions over several days or weeks it might lead to clues as to the next big trend. For intra-day traders it can be a treacherous path. Usually day traders end up losing money, usually because of massive slippage on their stop-orders followed by knock-outs on their protective stops because o… Read more
This XLS shows the calculations which were performed in the Kelly Criteria article. The data included are the SPY ETF historical prices as well as the backtest results from the London Breakout Strategy applied to the EURUSD. Here you can see how to calculate the optimal leverage on your favourite asset class or your favourite trading strategy. Please read the article to see what the caveats are and what riding out a full Kelly might possibly lead to.
EURUSD tick data for the period 10th January 2016 to 15th January 2016. Zip file contains CSV files for each day. The format of the CSV files are: Local Time, Server Time, Server Time Milliseconds, Bid, Ask. The time resolution is in seconds. This means that there can be multiple quotes per second.
This XLS accompanies my guest article on RectitudeMarket.com describing the performance of short option strategies on EURUSD. It includes the relevant formulas and data so that you can replicate the results or apply them to your own option strategies.
In Part 1 we used simple Python to Improve our Backtesting times. Starting out with DataFrames we took a simple RSI strategy over a period of 7000 days and reduced from 7.3 seconds (which is a complete joke; sorry Pandas!) down to 0.003 seconds by converting everything to lists. But if you recall the comparison table at the end of Part 1
Implementation Time for RSI2 Backtests Python – Lists 0.003s Java 0.00005s C 0.…