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Trading Currencies using Purchasing Power Parity (PPP)

In this post I want to cover one of the factors that enters into the creation of the benchmark index outlined in my Trading Approach. This factor is called Value, and provides an underlying fundamental reason for trading various currencies. To explain value let’s assume that the water company Evian sells an identical bottle of […]

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EURUSD tick data for the period 10th April 2016 to 15th 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.
Tick Data EURUSD, 20160410 - 20160415, Broker 1
EURUSD tick data for the period 31st January 2016 to 5th February 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.
Tick Data EURUSD , 20160131 – 20160205, Broker1
EURUSD tick data for the period 6th March 2016 to 11th March 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.
Tick Data EURUSD, 20160306 - 20160311, Broker 1
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High Frequency trading has become both the poster-boy and the scapegoat over the last couple of years in trading circles. It’s been seen as a sure-fire way of making money, as well as a sneaky way the flash-boys tax all the other participants in the market. In this article I want to cover some of the basics of High-Frequency Trading, as well as how it applies to trading from your “Living Room.” An example of such trading from your own private realm is the following P&L chart showing profits i…
High-Frequency Trading from your Living Room
Equities Mean Reversion
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 we covered in Equities and Their Mean Reversion Habits:
  • Looking for a series of down days
  • Looking for reversion towards a short dated movi…
Equities Mean Reversion
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.
Tick Data EURUSD , 20160124 – 20160129, Broker1