SP500 Return Distribution
Trading Order Out of Chaos
The London Breakout Strategy falls under the category of Open Range Breakout as developed by Toby Crabel. In this article we’ll look at some results with regards to this strategy, as well different ways of trading it. Let’s start out with the notion of Open Range Breakout. The key concept behind this strategy is that the range set at the start of the day sets a neutral zone for the rest of the day. If price moves either side of this range it is a strong indication that price will wa… Read more
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.…
Following on in the series of Market Dynamics the NFPs presented a great opportunity to take a closer look at what happens during important news events. I’ve learned my lesson by now: don’t trade during news events. And this is especially true of stop orders in these situations. Price will just hop straight through. When it does the fill is awful, and the worst part, as happened on Friday: it reverts very quickly hitting any protective stops. The outcome? You book losses which could… Read more
Market timing refers to the fact that by judiciously choosing entry and exit methods in a given market you can out-perform buy-and-hold. The first question of course is why you should buy-and-hold in the first place. The idea stems from the equity markets. Historically they have risen. The famous chart of course is the S&P 500 over the last 65 years: So why should this happen? Economic reasoning is behind this argument. Long term macro and micro economic gro… Read more
EURUSD tick data for the period 27th March 2016 to 1st April 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.
EURUSD tick data for the period 24th January 2016 to 29th 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.
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