Most retail traders believe that success in the market depends mainly on the quality of their strategy. However, practical experience and statistics show a different picture. Even with 55-60% profitable trades, a trading account can gradually decrease. Analysts note that the key factor is not so much the precision of the market entry but the structure of losses and the trader’s behaviour during drawdowns. The combination of these factors often determines the long-term result of trading.
At first glance, a 60% share of profitable trades looks convincing. If 60 out of 100 trades close with profit, it seems logical to expect capital growth. However, the decisive factor is not the frequency of wins but the ratio between the average profit and the average loss. If the average profitable trade is about 1% and the average loss reaches 2%, the mathematical expectation of the strategy becomes negative. In this case, over a series of 100 trades a trader receives about +60% of conditional profit and roughly –80% of losses. The final result becomes negative despite the high percentage of profitable trades.
A study published in the Journal of Finance and conducted by Brad Barber, Yi-Feng Li, Yu-Jian Liu and Terrance Odean shows a similar pattern. According to their findings, active retail traders lose on average about 3.8% per year relative to the market, mainly because of costs and behavioural factors. At the same time, the share of profitable trades for many of them exceeded 50%. As noted in the Journal of Finance research, the problem was not the number of successful entries but the size and distribution of losses. Even 45% profitable trades can produce a positive result with a risk-to-reward ratio of 1:2, while 60% winning trades do not save the account if losses are systematically larger than profits.
The psychological aspect of drawdowns also deserves special attention. A decline of capital by 10-15% may seem manageable and not critical at first glance. However, this is often the point where the trader’s behaviour begins to change. The work of Daniel Kahneman and Amos Tversky Theory of Prospect showed that after losses people tend to take more risk than after gains. In trading this often appears as increasing the position size, widening stop levels or even abandoning risk limits completely.
Let us consider a typical situation. A trader risks about 1% per trade and after a series of unsuccessful positions experiences a drawdown of about 15%. To recover the capital with the same parameters, the trader would need roughly 17.6% profit. However, if the trader increases the risk to 3% per trade in an attempt to recover faster, the probability of further capital decline rises sharply. Two consecutive losing trades can add another 6% to the drawdown, pushing the total decline close to 21%. In this case the account would need about 26.6% profit to return to the original level. This is why, as XFINE specialists note, attempts to accelerate recovery often become the point where the account’s performance starts to deteriorate.
Additional risk is connected with the structure of losses. Most trading accounts lose stability not because of a long series of small losses but because of one or two large losses. The European regulator European Securities and Markets Authority regularly publishes statistics showing that about 70–80% of retail clients lose money when trading CFDs. One of the reasons is the concentration of risk in individual positions.
A simple example illustrates this. A trader makes 20 trades. Twelve trades close with a profit of about 1.2%, seven bring a loss of around 1%, and one position ends with a loss of 8%. Although about 60% of the trades are profitable, the overall result becomes negative. One large loss cancels the statistical advantage of the entire strategy.
A similar effect occurs when traders average positions. When the market moves against a trade and the trader adds more volume, the total risk can increase two to four times compared with the initial level. Even a moderate continuation of the trend can then cause a disproportionate decline of capital. According to XFINE estimates, this asymmetry in the distribution of profits and losses is one of the main reasons why trading accounts collapse.
From a risk-management perspective, recovering after a 10-15% drawdown is possible without aggressive actions. If the risk per trade remains at 0.5-1%, returning to the original capital becomes a matter of discipline and time. When the risk rises to 2-3%, the volatility of the equity curve increases sharply and the probability of a deeper drawdown grows significantly. For this reason, specialists emphasize that a professional approach requires limiting the loss in a single trade to about 1-2% of capital and maintaining a risk-to-reward ratio of at least 1:1.5.
Ultimately, trading is a process of working with probabilities and the distribution of results. A drawdown of 10-15% is not a critical point by itself. The critical moment appears when a trader loses control over risk and changes behaviour after a series of losses. XFINE experts note that as long as position management remains secondary to the search for the perfect signal, even 60% profitable trades cannot guarantee a positive result over the long term.
