investment strategy

There are simply too many question marks for equity markets, which is weighing on general sentiment, and on prices.

Weekly Update | 15th September 2023

Weekly Update | 8th September 2023

Weekly Update | 1st September 2023

Weekly Update | 25th August, 2023

Weekly Update | 18th August, 2023

Weekly Update | 11th August, 2023

Weekly Update | 4th August, 2023

Which factors do fund managers focus on when selecting small-cap stocks? Find out in this episode.

Sentiment is positive while Confession Season is back, but only in a relatively mild way. Expectations are low. What to expect from August?

We are in a new, New Normal as we like to describe it and investors need to rethink how to negotiate it as the era of cheap money and low inflation disappears. One way...

Investors will soon find out whether forward indicators signalling the US economy will slide into an economic recession are correct.

Appearances can hide the real picture, as is the case in today's financial markets.

Investors who felt safe hiding in lithium stocks supported by broad-based belief in the global electrification theme have had a rude awakening over the past four...

Randomised signal length is a technique used as part of the robustness testing of a trading strategy. The goal of randomised signal length is to test the robustness of...

Forward testing is a method of evaluating the performance of a trading strategy by applying it to real-time market data and observing how it performs in real-time, on...

Noise and stress testing are important techniques for making a trading strategy more robust. Noise testing simulates random market fluctuations, such as those that...

Transaction cost and slippage analysis are important aspects of evaluating the performance of a trading strategy. Transaction costs refer to the fees and expenses...

InvestSMART's Evan Lucas takes you through the theory (and the proof) for why diversification matters in investing.

What is Monte Carlo Simulation? Monte Carlo simulation is a statistical technique that uses random sampling to model possible outcomes of a complex system. It is named...