"Trading is statistics and time series analysis." This blog details my progress in developing a systematic trading system for use on the futures and forex markets, with discussion of the various indicators and other inputs used in the creation of the system. Also discussed are some of the issues/problems encountered during this development process. Within the blog posts there are links to other web pages that are/have been useful to me.
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Tuesday, 12 June 2018
candle.m Function Released
I have just noticed that my previously accepted candlestick plot function now appears to have been released, release date 14 December 2017, as part of the Octave financial package. The function reference is at https://octave.sourceforge.io/financial/function/candle.html
Thursday, 7 June 2018
Update on Improved Currency Strength Indicator
Following on from my previous post I have now slightly changed the logic and coding behind the idea, which can be seen in the code snippet below
which shows the optimisation errors for the "old" way of doing things, in black, and the revised way in blue. Note that this is a log scale, so the errors for the revised way are orders of magnitude smaller, implying a better model fit to the data.
This next chart shows the difference between the two methods of calculating a gold index ( black is old, blue is new ),
this one shows the calculated USD index
and this one the GBP index in blue, USD in green and the forex pair cross rate in black
The idea(s) I am going to look at next is using these various calculated indices as inputs to algorithms/trading decisions.
% aud_cad
mse_vector(1) = log( ( current_data(1,1) * ( aud_x / cad_x ) ) / current_data(2,1) )^2 ;
% xau_aud
mse_vector(46) = log( ( current_data(1,46) * ( gold_x / aud_x ) ) / current_data(2,46) )^2 ;
% xau_cad
mse_vector(47) = log( ( current_data(1,47) * ( gold_x / cad_x ) ) / current_data(2,47) )^2 ;
Essentially the change simultaneously optimises, using Octave's fminunc function, for both the gold_x and all currency_x geometric multipliers together rather than just optimising for gold and then analytically deriving the currency multipliers. The rationale for this change is shown in the chart below,which shows the optimisation errors for the "old" way of doing things, in black, and the revised way in blue. Note that this is a log scale, so the errors for the revised way are orders of magnitude smaller, implying a better model fit to the data.
This next chart shows the difference between the two methods of calculating a gold index ( black is old, blue is new ),
this one shows the calculated USD index
and this one the GBP index in blue, USD in green and the forex pair cross rate in black
The idea(s) I am going to look at next is using these various calculated indices as inputs to algorithms/trading decisions.