STA Monthly Meeting – September 2018
All too often a Technician’s first foray into being quantitative is performing a back test. Statistically, this is one of the worst places to start a quantitative process. A back test that is performed too early is based on many false assumptions and compounds many errors into the process. The result is that the back test returns are rarely repeatable in real life. In this presentation, Mathew will be explaining what these errors are, how we can avoid them (regardless of what tools you use), and reveal a new Monte Carlo method he developed which allows us to review a valid p-score for our models no matter if they are long term trend following or short term mean reversion strategies. Mathew will go on to explain how as Technicians there is a process that we can follow to rigorously test quantitative ideas.
For any Analyst who wants to research new ideas, or be able to present ideas that can stand up to rigorous quantitative scrutiny, this presentation will help you to see that not only is a quantitative approach is achievable, but as Technical Analysts, we are in the best position to drive advanced quantitative models.
Mathew Verdouw is the Founder and Global CEO of Market Analyst International, a group of companies dedicated to developing Technical Analysis software for traders of financial markets. With an honours degree in Computer Systems Engineering from RMIT in Australia, Mathew has taken the company, and the Market Analyst program, from a spare-room start-up in 1996 to a world-wide solution used by traders from large institutions to private traders.
Next STA Meeting
STA Monthly Meeting – October 2023
The main reason for ineffective strategy construction which leads to non-reproducible results in real time and hence inconsistent performance is due to not knowing the 3 critical strategy stats. To overcome this challenge and construct sustainable, scalable and reproducible strategies in a quantitative manner, the Smart Money Framework was developed by the quants in the 1960s. With this framework we will have the 3 critical stats to help us construct optimal entries, stop loss and exits. When this is further combined with volume, our probability of capturing the bigger runners increases. All of the above will be explained further in detail by the presenter.
Future STA Meetings
STA Monthly Meeting- November 2023
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