investment education

Modern markets consistently present opportunities for the patient, rational investor.

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Weekly Update | 1st March, 2024

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...

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...

What is in and out of sample testing? In-sample testing and out-of-sample testing are two methods used to evaluate the performance of a trading strategy. In-sample...

An overfitted trading strategy is a model that has been trained on a specific dataset and has learned the noise in that dataset, rather than the underlying trend. This...

Frame Funds Management's Hue Frame explains quantitative investing and how it can work in investment strategies.