## The SQN ratio (System Quality Number)

Introduced by Van Tharp in 2008 in his book The Definitive Guide to Position Sizing, the System Quality Number, abbreviated as SQN, is an indicator designed to evaluate or measure the performance of a trading system or strategy. Subsequently, some variants and uses of the original formula have emerged that I consider very interesting; in particular to obtain sets of … Read more

What is the recovery factor? The recovery factor is an important indicator of the health of a trading system, which is calculated as the ratio of absolute profit to maximum drawdown. The recovery factor is usually measured in points or percentages. This indicator gives the trader an idea of the extent to which the total profit of the strategy exceeds … Read more

## How to calculate the mathematical expectation of a trading system

Calculating the mathematical expectation of a trading system is one of the first things that should be done to know if the system is capable of making money in the long term. Having a positive mathematical expectation is an indispensable condition that any moderately reliable system must meet.

The mathematical expectation measures the amount that is expected to be won or lost on average for each trade we do. For its calculation to be reliable, it is best that we take into account as many trades as possible.

## How to Measure a Trading System? – Ratios to assess your performance and risk

When you design a trading system, or you are looking to buy an automatic robot on the market, you must make decisions according to your preferences. The first thing you should ask yourself is: what am I looking for?

It is clear that you are looking to earn a lot of money, yes… this is what we all seek. But after a few losses and disappointments you learn that in Forex and other markets there are no magic methods and that the perfect trading system does not exist.

So, the right question is: how can you evaluate and compare different trading systems according to their risk level and potential benefit to know if they are viable for your use?

In this article we are going to review different statistical metrics to assess the performance of an investment system.

## Calculate the risk of ruin (or probability of success) of a trading system

This is probably one of the most important articles for long-term success in trading that I have written so far. If I am not mistaken, this is the first time I have written about it, although the issue of risk of ruin is of the utmost importance in achieving long-term profitability. It is about evaluating, objectively, the risk I have of losing a certain percentage of the capital dedicated to investment and trading.

We have talked a lot in the past about drawdowns in general and in trading systems in particular. Specifically, we have explained the concept of the historical maximum drawdown as a risk measure of any kind.

When using a trading system in Forex and in other markets we must be able to answer two questions:

• With a certain capital, what risk do I have of suffering catastrophic losses in the system/portfolio due to lack of funds?
• If I want to risk only a certain capital, what probability of success do I have in the long term?

They are two questions that come to express the same thing, the relationship between the probability of long-term success and the capital available for the system/portfolio. Naturally we all know that the more we put in, the better, but it is about optimizing the use of money, right?

## Profit factor – Definition and Calculation

The profit factor is one of the most popular performance metrics used in trading.

Its calculation is very simple: in the formula, the total amount earned in the positive trades is divided by the total lost in the trades with losses.

## The Calmar Ratio – Profitability and Risk Indicator

The Calmar Ratio is an indicator that is designed to measure and compare the performance of an investment portfolio or trading system.

The interesting thing about this ratio is that it summarizes how the profitability of the period has been with respect to the assumed risk.

Although it is a less known indicator than the Sharpe ratio, the Calmar ratio is currently widely used in the financial industry. It was first published in 1991 in the Futures magazine and was developed by Terry W. Young; precisely its name comes from the acronym formed from the name of the newsletter that the author sent to his clients, called CALifornia Managed Accounts Report. The Calmar ratio is defined as the ratio between the annualized profitability of the system and its maximum drawdown in absolute value.

## Forex backtesting guide for beginners

This is the next article on how to make our own trading system. We already know that a trading system must be like a suit: it must adapt to us; we also know that it is recommended to risk, at most, 1% -2% of all our capital per transaction. Today we are going to show how to determine if a … Read more

## The Sortino Ratio – good and bad volatility in your investments

To correctly analyze the performance of investments in the stock market and other financial markets, it is always advisable to relate profitability with respect to risk. One of the most used ratios for this is the Sharpe ratio. But today we will see that it is possible to further refine this measure using the Sortino ratio. Both ratios serve to measure the expected return of an investment fund, calculated on the expected return of an asset without risk, however, they present a series of subtle differences that we are going to show next.

## What is a Robust Trading System?

The difficult part to begin to trade in any market is to define the strategy or trading system that we are going to apply to make money, as there are many trading systems but:

• Which trading systems are really robust?
• What are the main features of robust trading system?

A robust trading system is a trading strategy that is designed to perform well under different market conditions and over long periods of time. A robust trading system is not overly sensitive to minor changes in the market or to specific market conditions, but rather has a built-in flexibility to adapt to changing market environments.

A robust trading system typically involves a combination of different trading strategies and risk management techniques that are tailored to the individual needs and objectives of the trader. The system should have clear rules for entering and exiting trades, as well as a well-defined risk management plan that includes strategies for managing drawdowns and minimizing losses.

A key characteristic of a robust system is that it has been thoroughly tested using historical market data to ensure that it has a high probability of success in the future. This testing should include multiple market scenarios and time periods to ensure that the trading system can perform consistently over a wide range of market conditions.

Overall, a robust system is designed to help traders achieve their trading goals while minimizing risk and maximizing long-term profitability. By having a well-designed and thoroughly tested trading system, traders can have confidence in their ability to navigate the markets and make informed trading decisions.

We can do a practical exercise to evaluate the robustness of two well-known trading strategies: