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How and why to model market risks?

approach to risk

What is market risk modeling?

Market risk modeling is a specialized approach that allows a trader to anticipate potential losses in the event of adverse market developments. Contrary to popular belief, such modeling is not an exclusive tool for large funds or banks. Instead, it is entirely accessible even to ordinary private traders in the Forex market. Today, numerous simple programs and online services exist that enable everyone to conduct at least a basic risk analysis.

The main goal of modeling is to foresee potential problems and prepare for them in advance. Thanks to this approach, a trader can consciously control their losses and determine beforehand whether it is worth entering a trade or better to avoid it. The more accurately a trader can forecast potential risks, the higher their chances of success in the market.

risk managemetn system

Two main trader risks

Every individual who opens a Forex trade faces two key risks:

  • The first is that the market behaves differently than expected. Currency rates change sharply, trends reverse, or the market goes into a flat—making your strategy instantly obsolete.
  • The second is that you act differently from your initial plan. Traders make mistakes due to emotions or impulsive decisions. For example, they start panicking and close profitable positions too early or hold losing trades for too long.

If the first risk can be reduced through special market analysis methods, the second requires significant internal discipline from the trader and additional emotion-management practices.

What methods are available to a trader?

Let’s examine the simplest and most understandable ways to model risks.

Quantitative analysis

Quantitative analysis is assessing potential losses based on statistical data. For instance, you can analyze historical fluctuations of your chosen currency pair during specific news releases and calculate the average potential profits and losses. Simple Excel tables and basic mathematical skills are sufficient for this. Such analysis provides an understanding of the volume of risks you face.

Stress testing

Stress testing evaluates how your deposit will change under the worst-case scenarios. For example, if the currency rate suddenly drops by 10-15%, how much will you lose? This analysis helps you understand in advance whether you are prepared for the worst-case scenario and if it would be critical for your deposit and overall trading strategy. To understand what constitutes the “worst-case scenario,” examine the chart and assess instances of abrupt trend changes. This will help determine at what distance from the trade level orders should be placed.

VaR Method (Value at Risk)

The VaR method shows the maximum amount you might lose with a certain probability (e.g., 95%). There are simple online calculators where traders input trade parameters and obtain a clear figure of potential risk. VaR helps traders avoid over-leveraging and risking their entire deposit.

Machine learning

Currently, only traders with certain programming skills can fully utilize this method. However, AI systems are rapidly developing, and the emergence of publicly accessible models to assist traders is just a matter of time.

risk management

How to deal with your own emotions?

The second key risk is the trader’s emotions, which often lead to thoughtless actions and losses. However, they can also be controlled. Here is a step-by-step guide to help you do this.

The first step is to establish strict trading rules and strive to follow them clearly. For example, set daily or weekly loss limits, rules for placing orders, risk diversification, etc.

The second step is to maintain a trader’s journal. Record each action and its reasons, as well as all rules, using this list as a checklist before opening a trade. This will help identify situations where you most often make mistakes and how to avoid them. Additionally, it’s worthwhile using stress-management techniques: breathing exercises, meditation, or regular breaks during the trading day.

When you recognize the causes of your emotional decisions, controlling them becomes much easier. Moreover, discipline and clear rules reduce stress and uncertainty, which are the main triggers for emotional breakdowns.

Conclusion

Risk modeling is not a luxury but a necessity for any trader aiming for consistent earnings in the Forex market. Using methods like quantitative analysis, stress testing, and VaR significantly reduces the probability of losses. However, it’s important to remember that even the most accurate calculations will not protect you from your own emotions. Therefore, it is crucial to combine a competent approach to market risk modeling with strict discipline, emotional self-control, and regular self-analysis.