Trading Order Out of Chaos
![Improving your Python Backtesting – From DataFrames to Cython [Part 2]](http://www.fxmastercourse.com/wp-content/uploads/2021/01/Python-Backtesting-700x300.png)
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 […]
Intro Backtesting is every systematic trader’s basic tool. And Python is becoming the lingua franca of programming. So putting Python into Backtesting to get fast results should be possible! Yes and no! In this article, we’ll cover how to really improve your Python backtesting and boost your speeds by several orders of magnitude! First a […]
Equities mean-reversion works right now. And as part of Building Consistently Profitable Trading Systems it forms a key component. In this article we’ll present the final version of the mean-reversion system to form part of the trading toolbox, and the final portfolio. It’s the Larry Connor’s RSI2 strategy. And it’s based on the two concepts […]
In this second part of the Mean-Reversion in Equities series we’ll cover the reasons behind why mean reversion works in various market regimes. In the previous article we combined the idea of looking at two consecutive down-days combined with buying the S&P 500 while it was below its five day moving average. A question that […]
At last! We’ve made it to the mean-reverting part of the series, starting with our focus on equities and their mean-reversion habits. So, here’s the deal. We’re going to keep it simple, just like in the previous three posts, and start from the ground up. Over the following series we’ll culminate in a simple, straightforward […]
As discussed in the articles on Bullish and Bearish Engulfing Bars, this indicator highlights the bars, and allows you to implement those trading strategies. The only input is an offset as to where to put the arrows indicating the bars in pips. This is best placed on an hourly chart. The indicator will loot at the previous 8 bars, and check to see if the first group of four hourly bars engulfs the previous four hourly bars. This is then rolled over with every new hourly bar.
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 week’s article is more tongue in cheek: do natural phenomena affect the markets? What we’ll be particularly looking at are the full moon, new moon, and solar eclipses, especially since we had one on the 9th March this year. Back in 2005 I wrote a similar article at Barclays Capital for the weekly quant newsletter we sent out to clients. It was a summer lull, and it seemed like a swell idea. The results back then indicated that it was the New Moon rather than the Full Moon that really imp… Read more
At last! We’ve made it to the mean-reverting part of the series, starting with our focus on equities and their mean-reversion habits. So, here’s the deal. We’re going to keep it simple, just like in the previous three posts, and start from the ground up. Over the following series we’ll culminate in a simple, straightforward (and well known) system that still works. In detail for this article:
- What do we mean by mean-reversion and how can we measure it?
- What are some natural meth… Read more