Which is the best model?

How do you get a result that you can rely on in the future? What are the best settings? Which model fits which stock? How can I test backwards and improve the models to get better results in the future? There is a big difference in the results when setting the models in the best way, versus just using default settings. Testing all possible combinations of, for example, averages by hand takes an incredible amount of time, how can the computer help test millions of settings. What is needed to ensure a stable outcome in the future? The video also explains how to interpret the relationship between price and volume, good and bad models.

Some signalling models – are they good?

The video goes through Exponential Mean Average (EMA), BETA values, Chaikin, Coppoch, FramaMV, Oscillator, Parabolic, Rate Of Change (ROC), Spread Signal and Trading. What is good or bad and some experiences.

How much difference is there between a good and bad model?

For some stocks, there is a difference of several 10,000s of percent between a good model and a poorly tuned model. What are the good settings that are likely to work in the future. For example, which averages are good for each stock? How can it be tested?

Course leaders

The seminar was held on 14 January 2024 by Peter Östevik, who has many years of experience in optimizing stock prices. The content of the video is timeless because stock market psychology is. Peter has created his own models in Viking after optimizing models and seeing what works and what doesn’t.