Speaker: Alan Clement
Topic: A Model Portfolio for The Chapter (Start and Updates)
Alan unpacks the ideas delivered by Peter Aubourg in his talk to the chapter late last year to build a strategy which can be used to trend trade Australian stocks. The idea is that we will use this strategy as a model portfolio for the Melbourne Chapter, and we will review the trades for this model on a monthly basis in the room, along with some time for discussion.
190411_Melbourne - Clement, Alan
Speaker: Robert Brain
Topic: Hands-on chart reading interpretation
How can we effectively use share price charts to analyse whether a stock should be bought or not? How can we interpret the price action? and the volume? and the various chart indicators that are available?
About 80 per cent of ATAA members are trend traders* on ASX stocks. In this session we will demonstrate the use of real price charts (using a laptop with no internet connection), and ask the audience to offer their thoughts, experiences and suggestions for:
- We want uptrending* stocks ? so how do we find them?
- Which stocks to look at?
- Should we focus on specific sectors?
- Does it matter whether we look at large cap, medium cap or small cap stocks?
- Should we firstly look for a confirmed uptrend, and chart patterns?
- What is the best chart indicator to use? (with suggestions from the audience for their favourite indicator).
- What "set up" or "trigger" conditions might we look at for an entry?
In this session we will be sharing collective ideas and experiences so that experienced ATAA members can help to share their knowledge with the less experienced members and visitors and try to address the above questions.
* - We will focus on a short- to medium-term trend trading strategy idea, rather than a breakout strategy, or pattern strategy, etc. This time frame is perfect for the busy investors/traders who only have a couple of hours each week to do their analysis and stock selection.
190411_Melbourne - Brain, Robert
Speaker: John MacLeod
Topic: Trading with Predictive Analytics
Predictive analytics is the use of data, statistical algorithms and machine learning techniques to identify the likelihood of future outcomes by using current and historical information. Over the last 15 years John MacLeod has researched and applied these methods to the ASX Stock Market to underpin his private trading. Recent research coupled with learning out of the ATAA and member collaborations has further enhanced the predictive power of this modelling through blending TA indicators with regression and support vector machine (SVM) predictive methods.
Trading will always be conducted at some point in the future, so it makes sense to estimate the likely future change of a stock price at future points in time and this is where predictive analytics comes into play. Furthermore, providing a measure of confidence with this prediction is even more useful. John's presentation is intended to prompt his audience to think about:
- using TA attributes in predictive models that estimate the likely future change in price of each stock;
- measuring the strength of each stock estimation;
- how all stocks within a constantly changing market will all have distinct intrinsic drivers price movement behaviours; and
- why models should be constructed and executed in order to accommodate constantly changing markets
John MacLeod has a Master of Science in Physics and 30 years in a professional analyst & consulting background around designing, building and implementing Predictive and Trigger Based analytical models for telco's, local and overseas consumer banking, publishers, FMCG and other mass marketing organisations.
In 2004 John commenced investigating various methods for predicting the direction of stock prices in the ASX in order to run and support his SMSF and this has resulted in the successful ongoing management of his SMSF. Over the last 3 years since joining the ATAA and Quant Trader Special Interest Group along with collaborating research with other ATAA members these predictive methods have been much enhanced.
This presentation will challenge the way we use TA and will introduce predictive analytics and some data science as an alternative way for finding trades in the market.
190411_Melbourne - MacLeod, John