The common idea of how financial markets work often consists of a simplified view of the balance of power between buyers and sellers. We often encounter the claim that price rises because the market is dominated by the number of people willing to buy. However, this interpretation is technically inaccurate and prevents a deeper understanding of market dynamics. The real driver of change is not the number of participants, but the complex interaction between different types of orders and the degree of aggressiveness with which these orders are executed.
In the previous block, we focused on how to analyze signal providers and distinguish between a stable strategy and a strategy that only temporarily masks high risk. The second block shifts to the investor’s side—the one who copies the trader. This part is often underestimated in social trading, because many investors mistakenly believe that once they choose a quality trader, their job is done.
In reality, copying is an active risk-management process. The investor may not open individual trades manually, but they decide on the amount of capital, the copying ratio, drawdown tolerance, and when intervention is necessary. The goal of this lesson is to understand that even passive copying must have its own money management.
When copying a trader, one of the most important settings is how their positions are transferred to your account. On the FXJunction platform, you will encounter two basic approaches—fixed and proportional copying.
Fixed copying means that each position of the signal provider is opened on your account in a predetermined fixed size. For example, if you set that each trade will be copied with a volume of 0.01 lots, this size will be used regardless of how large the trader’s account is and what risk they take on their own account. This method is simple, but it can be dangerous if the investor does not understand the difference between the provider’s account size and their own account size.
Proportional copying is a more advanced method in which the position size is adjusted to the ratio between the provider’s capital and the investor’s capital. If the signal provider has an account of 10,000 EUR and the investor copies with an account of 1,000 EUR, positions may be opened at one-tenth of the size. From a risk-management perspective, this approach is more logical because it maintains a similar level of exposure relative to the account.
Margin represents the portion of capital that the broker locks as collateral for open positions. In social trading, an investor can easily overlook that they are not only copying the trader’s returns, but also their account load. If the provider opens multiple positions at once, the same effect can be transferred to the investor’s account.
A critical problem arises when an investor copies a trader with a larger account while having significantly lower capital themselves. Even a relatively small position on the provider’s account can be disproportionately large for the smaller account of the copying investor. The result is high margin usage, reduced account flexibility, and a higher risk of forced position closures.
A professional investor therefore monitors not only how much the trader earns, but also what portion of the account they regularly expose to risk. If the signal provider uses high leverage and holds multiple open trades simultaneously, the investor must set copying more conservatively than the historical return alone would suggest.
One of the most common beginner mistakes is the belief that the best trader deserves the largest share of capital. However, this approach ignores the fact that even a quality strategy can go through an unfavorable period. If an investor puts their entire account into one signal provider, they expose themselves not only to market risk, but also to the risk of human failure, a technical error, or a sudden change in trading style.
A more sensible approach is to split capital among multiple providers who use different strategies, markets, and time horizons. Such diversification reduces the likelihood that one faulty trader or one unfavorable market scenario will damage the entire account.
The allocation size should depend on three factors.
Trader’s historical stability: The more stable the performance and the lower the historical drawdown, the larger a portion of the portfolio the investor may consider.
Level of open risk: A trader with a high number of open positions should have a lower allocation, even if their returns look attractive.
Investor’s psychological tolerance: If an investor cannot calmly handle a 15% decline, they should not copy a strategy whose historical drawdown regularly approaches that value.
Money management when copying allows you to take control over the part of the risk that the signal provider will not solve for you. Your final system should include these rules.
Determining maximum allocation: Never copy a single trader with your entire account, no matter how good their historical performance looks.
Monitoring margin usage: Track what portion of the account is occupied by open positions. If margin grows too quickly, copying is set too aggressively.
Adjusting copying size: If the provider has a significantly larger account, use proportional copying or a reduced copying coefficient.
Creating a safety buffer: Leave free margin in the account that can absorb normal fluctuations without forcing you to intervene in panic.
Money management when copying is a fundamental tool for capital protection. Even though trading decisions are executed by the signal provider, responsibility for the size of the risk on your account remains with you. Fixed copying is simpler, but it can lead to disproportionate account strain. Proportional copying better respects capital size, but even with it you need to monitor margin, leverage, and the number of open positions. However, if you do not fully understand this yet, our service also includes support from an expert who will individually go through all important settings, risks, and decisions related to copying traders with you.
This concludes the technical side of managing copying. In the next lesson, we will focus on the question that is psychologically the hardest for many investors—when to stop copying a signal provider.
In social trading, choosing a trader is only the first decision. The second, often much more difficult decision, is determining when the investor should end copying. Many investors make the mistake of disconnecting the trader immediately after the first losing period, even though it is a natural part of the strategy. Others, on the contrary, stay connected for too long, even when the trader has evidently changed behavior and stopped respecting their own rules.
The goal of this lesson is to create a framework that helps the investor distinguish between a normal decline and a real warning signal. Stopping copying should not be an emotional reaction, but a pre-prepared rule.
In classic trading, a Stop-Loss is used to limit the loss in an individual trade. In social trading, however, it is necessary to think about a similar principle at the level of the signal provider themselves. The investor should determine in advance a threshold at which they will stop copying the trader.
This threshold does not have to be based only on a percentage loss. A drawdown in the account alone does not necessarily mean that the strategy has stopped working. It is important to compare the current drawdown with the trader’s historical behavior. If the trader had a typical drawdown of 8 to 10% in the past, a current drawdown of 9% may not be a reason to panic. But if the drawdown reaches 20% and at the same time the trader starts increasing positions, it is a qualitatively different situation.
A Stop Loss for the signal provider should therefore combine quantitative and qualitative rules.
One of the most serious reasons to stop copying is a change in trading style. The investor is not choosing only a return curve, but a specific way of trading. If the signal provider achieved results through conservative trading of currency pairs and later starts aggressively trading cryptocurrencies with high leverage, it is not a minor strategy adjustment. It is a change in risk profile.
A change in style can manifest in several ways.
Significant increase in position size: The trader starts opening larger trades than in the past.
Change in traded markets: The provider moves to assets they did not trade before.
Extending losing positions: Trades that were previously closed after a few hours are suddenly held for several days or weeks.
Averaging losses: Instead of acknowledging a mistake, the trader opens additional positions in the same direction.
In such situations, the investor is no longer copying the trader they originally analyzed. They are copying a new, unverified system that does not have sufficient history.
One psychological problem in copying is the inability to distinguish patience from passivity. Patience means the investor understands the strategy, knows its historical drawdowns, and can withstand normal fluctuations. Passivity means the investor ignores new risks simply because they do not want to admit a bad decision.
If an investor ends copying too early, they may miss the strategy’s natural recovery. But if they remain connected despite an obvious change in the trader’s behavior, they stop managing risk and only hope the situation will turn around. Hope is dangerous in social trading because it replaces analytical decision-making.
A professional approach consists of setting rules before a crisis situation occurs. At the moment the account is declining, psychology is already weakened and decisions tend to be influenced by fear or by an attempt to win back the loss.
When deciding whether to stop copying, the investor should monitor these points.
Exceeding historical drawdown: If the current decline significantly exceeds the historical maximum drawdown, it is necessary to verify whether the strategy still works the same way.
Change in position size: If the trader starts increasing volumes without a clear reason, it may be an attempt to quickly catch up losses.
Change in trade frequency: A sudden increase in the number of trades may signal impulsive decision-making.
Poor communication from the provider: If the trader stops explaining their steps precisely during a crisis period, the risk for the investor increases.
Mismatch with the original analysis: If the trader no longer behaves as they did when you selected them, your original investment thesis no longer holds.
Stopping copying is not a sign of panic if it is based on pre-prepared rules. The investor should not react to every short-term decline, but at the same time must not ignore situations in which the signal provider changes style, increases risk, or stops respecting their own strategy. The goal is not to find a trader who never loses, but to be able to recognize the moment when a normal decline turns into a systemic problem.
In the next lesson, we will focus on the last element of copying psychology—social noise, comments from other investors, and platform sentiment, which can significantly influence the decision-making of the copying investor.
Social trading is specific in that the investor does not work only with charts, statistics, and the performance of signal providers. The environment also includes comments, discussions, ratings, and reactions from other platform users. This social element can be useful, but also extremely dangerous.
The goal of this lesson is to teach the investor to distinguish between valuable information and social noise. Not every comment on the platform is an expert opinion. Many reactions are the result of fear, frustration, greed, or short-term disappointment with the current account development.
Social noise represents a set of opinions, comments, and emotional reactions that create the impression of important information, but in reality do not bring analytical value. In the copying environment, it most often arises during periods of significant profit or loss.
When a trader achieves high profits, the discussion tends to be full of enthusiasm and unrealistic expectations. Investors tend to overlook risk and increase allocation precisely at a time when the strategy is more vulnerable to a correction after a strong rise. Conversely, during a decline, panicked comments appear, blaming the provider and calling for immediate termination of copying.
Neither of these extremes is a suitable basis for decision-making. Social noise increases the likelihood that the investor will take exactly the opposite step than they should: add capital after a series of gains and disconnect the trader after a natural drawdown.
Not all comments on the platform are useless. Some users may point out important changes, such as rising margin, unusually long holding of positions, or a deviation from the original strategy. The difference between an expert opinion and an emotional comment lies in the argumentation.
An expert comment is based on a specific observation. For example, a user points out that the trader increased position size compared to their historical average, or that the current drawdown exceeded the previous maximum drawdown. Such a comment can help the investor supplement their own analysis.
An emotional comment, on the other hand, is based on a feeling. It typically contains panicked statements, unverified accusations, or exaggerated expectations. Such comments often say more about the author’s psychology than about the quality of the trader themselves.
Social platforms naturally encourage herd behavior. If most users praise a particular trader, a new investor may get the feeling that it is a safe choice. However, if the trader’s popularity arose only after a significant rise, the investor may be entering late—at the moment when part of the return potential has already been exhausted.
A similar mechanism also works during drawdowns. If a large group of investors starts criticizing the trader, it can create pressure to terminate copying prematurely. The investor then does not act according to their own plan, but according to the group’s emotion.
A professional approach is that sentiment is used only as a supplementary indicator, not as the main reason for a decision. If negative comments point to specific data, it is appropriate to verify them. But if it is only panic without arguments, the investor should return to their own rules.
When working with sentiment and discussions on the platform, it is advisable to follow these principles.
Verify claims with data: If someone claims the trader changed style, check position sizes, traded markets, and historical behavior.
Do not decide based on popularity: A high number of copying investors does not automatically mean low risk.
Watch the quality of arguments: A valuable comment contains a specific reason, not just emotion.
Do not enter under pressure from others’ profits: If everyone is talking about high returns, it may be a phase in which risk is already being underestimated.
Do not panic at the first negative comment: One dissatisfied investor may not correctly understand the strategy they are copying.
Social noise is a natural part of social trading, but it must not replace your own analysis. Discussions can be useful if they point to specific data and changes in the trader’s behavior. But if they are based only on fear, greed, or herd mood, they pose a risk to the investor’s decision-making.
This concludes the second block, which focused on the psychology of copying and the management of the investor themselves. After the analytical selection of a signal provider, it is precisely the ability to manage one’s own risk, set appropriate copying, and filter social noise that determines the long-term sustainability of results. Social trading is therefore not a passive click on the “copy” button, but a systematic process in which the investor must remain disciplined even when someone else is trading.