Introduction.

Given the cost of property in Australia combined with the recent decision to abolish negative gearing. The barrier to entry into the property market has increased to the point that it is difficult to even own your own home without exposing yourself to substantial financial risk let alone owning a diversified property portfolio.

Therefore,turning to alternative investment options such as commodities and shares presents a more realistic and achievable investment opportunity for retail investors to engage in.

Unfortunately, although these investment instruments have a much lower barrier to entry than property investment. These alternatives are already highly saturated with professional full time investment institutions, investment banks, and trading firms all of which have significantly more money, access to market information than any retail investor could ever hope for and, they do it full time.

Consequently, It’s safe to assume that your average retail investor, working in another (generally, non-financially focused) full time job, will never be able to compete or develop an investment strategy with an edge over the competition.

Objective

The primary objective of this website is therefore not, to develop the most complex and efficient investment strategy to compete with these institutional and full time investors; but more, to develop the most passive yet effective and low maintenance strategy that can achieve a reasonable, average market return whilst keeping fee’s, risk and investor supervision as low as possible but still optimise for a reasonable return on investment.

The above statement outlines the context for the remainder of the website and also defines the optimisation problem that the statistical models should trained against.

Implementation & Disclaimer.

The objective of all works contained within this website are outlined as follows:

• Simplify my own personal analysis of financial data through development of a dedicated and repeatable process.
• Showcase my technical abilities in finance, data analysis, programming, etc. for future employers.
• Play around with a bit of Machine Learning, AI and forecasting in a field that interests me.
• Keep my financial and data analysis skills current.

Who is this for?

Firstly, I am not licensed to provide financial support, guidance or advice. If you’ve found this website have a look around and a read however, nothing contained within this site is intended for you or your financial situation.

I take no responsibility for any action you take out of this website. You should speak to a financial adviser or accountant before making and decision regarding your finances or investments.

This is simply a show and tell, nothing more and more often than not what you’re looking at is likely the result of experimentation and in a draft state.

Why a Website on GitHub?

Because hugo pages makes web development easy and, with the help of github actions I can schedule this repository to recompile and refresh the analyses and data more frequently that I might care to do it in my time off.

Additionally, github will also host the website for free keeping costs down to a lovely and sustainable $0.00 AUD.

Want to see what else I’ve been Working On?

Have a look at my personal site located at donalglavin.github.io