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All the problems in forex short-term trading,
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The two-way (long/short) forex market offers opportunities to open and close positions in either direction; however, achieving consistent, long-term profitability does not depend on the breadth of market information one consumes, nor on the sheer number of technical tools one employs.
Real-world trading data reveals that the root cause of losses for the vast majority of investors lies in information overload, fragmented strategies, and frequent, subjective decision-making. A truly mature trading system is typically characterized by extreme simplicity, quantifiability, and replicable execution.
Unlike one-way markets where participants only bet on price increases, the two-way nature of the forex market—while offering greater operational flexibility—also increases the risk of losing control over one’s trading rhythm. Many investors become overly fixated on short-term long/short opportunities, fleeting market trends, or reactions to macroeconomic news; they frequently flip between long and short positions, ultimately leading to an accumulation of transaction costs and the steady erosion of their account equity.
In terms of execution, there is no need to clutter charts with dozens of technical indicators, chase short-term market fads, or over-analyze macroeconomic variables like monetary policy or geopolitical developments. Such fragmented information only interferes with standardized judgment, causing decisions to deviate from established rules and undermining the foundation for consistent profitability.
The core path to sustained profitability in a two-way forex market lies in a single, standardized trading model—one that has been validated through historical backtesting and is specifically designed for both long and short positions. A single, reliable, and replicable strategy is far superior to a collection of disjointed, logically inconsistent approaches. Investors need only strictly follow the standardized processes of their system, waiting for high-conviction signals to emerge in line with their long/short rules.
When the model does not provide a clear long or short entry signal, the best course of action is to remain on the sidelines. Avoid forcing trades in uncertain market conditions, refrain from making subjective guesses about market direction, and eliminate unnecessary, impulsive, or overly frequent trading. Core competitiveness is never about capturing every market move; rather, it lies in precisely filtering for high-odds, high-probability-of-success opportunities—in both long and short directions—while strictly adhering to trading discipline. By employing a minimalist system and standardized execution, one can achieve steady, long-term compound growth in account net value.

While the *Gaokao* (national college entrance exam) serves as a standardized and relatively fair competitive system, the two-way foreign exchange (forex) market is an asymmetric game characterized by inherent structural imbalances. Consequently, retail forex traders face a market environment where the overall expectation is a negative return.
The forex market allows for both long and short positions with near-instantaneous execution and settlement. While the barrier to entry may appear low, the market is, in essence, a zero-sum game defined by a vast disparity in capital and strength between institutional players and retail traders—a landscape that offers no foundation for retail traders to achieve consistent, sustainable profits.
Retail trading decisions are primarily driven by emotional fluctuations; unrealized gains or losses, along with market price movements, continuously amplify feelings of greed and fear, making it difficult to objectively discern true market trends or the underlying logic of long/short positions. For most retail traders, the placement of take-profit and stop-loss orders, as well as the structure of their positions, fall squarely within the scope of institutional data monitoring and quantitative analysis. The price ranges where retail traders cluster their stop-loss orders often become the primary profit zones for institutions—used for hedging long/short exposures and harvesting market liquidity. In short, the trading behaviors and "hand" (the underlying strategic position) of retail traders are entirely transparent to their professional institutional counterparts.
Institutional traders completely eschew emotional decision-making. Instead, they rely on massive datasets—including order book depth, the structure of individual trade executions, and multi-dimensional capital flow data—to conduct market analysis. By deconstructing the volume of pending long and short orders and tracking dynamic shifts in open interest, they can precisely gauge market structure and identify turning points in trends. Furthermore, institutions do not rely rigidly on signals from a fixed trading system. Given that the forex market is dynamic and constantly evolving, static strategies quickly lose their effectiveness as capital flows and market volatility shift, rendering them incapable of keeping pace with the rhythm of the market over the long term.
Professional institutional traders routinely conduct dynamic market stress tests to anticipate account drawdown risks during extreme market conditions. They strictly enforce maximum loss thresholds—both for individual trades and for their overall accounts—adhering to a core trading principle that prioritizes risk management. Key members of top-tier asset management teams typically possess backgrounds in mathematical modeling and quantitative research. Their logic for assessing long or short positions, as well as their entire trading strategy framework, is derived from quantitative formulas, historical backtesting, and objective logical reasoning—effectively eliminating subjective assumptions and emotional trading.
In contrast, retail traders—often constrained by delayed information, a lack of sophisticated trading tools, and limited market understanding—frequently engage in irrational behaviors, such as following the herd, fearing missed opportunities, or "chasing highs and selling lows." They often lack robust risk management frameworks or quantitative analytical systems. Stories of overnight wealth in the foreign exchange (forex) market are heavily skewed by "survivorship bias." These narratives serve to draw retail traders into the market, providing liquidity while ultimately making this group the primary source of losses in the zero-sum, two-way forex trading environment.

In the two-way forex trading market, many traders are easily swayed by short-term market buzz or novel trading models, opening positions based solely on curiosity—a common cognitive pitfall in practical trading.
It is crucial to recognize that the mere novelty of a market trend is not equivalent to a deep understanding of trading logic or market mechanisms. Such novelty should never serve as the basis for decisions regarding entering long or short positions, structuring holdings, or scaling into trades. The forex market is characterized by T+0 settlement and high volatility; while it may appear to offer abundant opportunities, many novices overlook critical risk factors—such as market fluctuations, bid-ask spreads, the risk of slippage, and disruptions caused by fundamental developments.
While a trader’s curiosity can serve as a powerful driver for studying market logic, analyzing exchange rate patterns, and gaining practical experience, it should never be directly translated into actual trading decisions. Many popular market trends and novel trading approaches may appear to offer high profit potential, but they often harbor structural risks. Navigating these requires a high level of proficiency in market analysis, risk control, and position management. The core logic for generating profit in two-way (long/short) forex trading lies in the trader’s ability to conduct standardized trades strictly within the boundaries of their own knowledge and capabilities.
Traders must remain disciplined within these boundaries, eschewing the urge to chase trends or experiment with unfamiliar, unconventional methods. Every long or short position—including the setting of stop-loss and take-profit levels, as well as position sizing—must be grounded in a thorough understanding of the rules, a deep grasp of market logic, and clearly defined risk thresholds. Traders should only execute trades within areas they fully understand, where risks are manageable and the underlying logic is clear; this helps avoid account losses stemming from irrational decision-making.

In two-way forex trading, the market is characterized by extreme uncertainty. Even with continuous, in-depth study, it is impossible to perfectly predict future price movements or capture every long or short opportunity.
Given that precise market prediction is unattainable, the key to success for individual forex traders lies in building a long-term, stable trading system.
A common pitfall among forex traders is an obsession with improving the accuracy of their market predictions, while neglecting the consistency of their actual trading behavior. Because the forex market can shift rapidly between bullish and bearish phases, many traders frequently alter their strategies in response to price fluctuations—blindly chasing rallies, panic-selling during pullbacks, switching to "bottom-fishing" or "top-picking" after a few stop-loss triggers, or impulsively adopting the strategies of others who appear profitable. Such erratic, reactive strategy-switching strips trading outcomes of any logical foundation, making it impossible to discern whether gains or losses are the result of genuine trading skill or merely the product of market volatility.
Forex market movements exist within a recurring cycle of trends, ranging (sideways) phases, and false breakouts. Opportunities for both long and short positions emerge randomly—market variables that are entirely beyond human control. The only element a forex trader can truly govern is the absolute consistency of their trading rules. This goes beyond mere "trading discipline"; it entails establishing a standardized, end-to-end operational framework.
Forex traders must define fixed criteria for entering long or short positions, setting stop-loss thresholds, managing open positions, and executing take-profit exits. One must strictly adhere to a defined workflow: entering trades only when criteria are met, cutting losses on incorrect positions, holding profitable positions, and exiting once specific targets are reached. By committing to "capturing only opportunities within the established system"—and discarding subjective speculation—a trader ensures that while market fluctuations remain random, their own trading model remains constant. Consistently filtering market opportunities through these fixed rules highlights the probabilistic edge of the trading system and provides a clear understanding of its profit-and-loss profile. It is crucial to note that only by employing a trading strategy with a positive expected value—and executing it consistently over the long term—can one achieve stable profitability in the forex market.

Given the two-way (long/short) nature of the forex market, many investors struggle to distinguish between "independent trading judgment" and "subjective, stubborn insistence." The blurred line between these two mindsets is a primary driver of flawed decision-making, the failure of risk controls, and drawdowns in account equity.
The forex market is characterized by two-way trading (long and short positions), continuous price fluctuations, leveraged exposure, and a multitude of influencing factors. Consequently, it demands a high level of proficiency in market interpretation, position sizing, and risk pricing. The ability to differentiate between these two cognitive approaches directly determines the soundness of one’s trading decisions and the consistency of their execution; it also dictates the effectiveness of stop-loss discipline, the quality of the risk-reward ratio, and the overall stability of the equity curve.
True independent trading judgment does not mean rigidly adhering to subjective expectations or shunning external information. Instead, within a two-way (long/short) trading framework, it involves systematically incorporating multidimensional variables—such as market data, fundamental news, policy and interest rate trajectories, capital flows, position structures, volatility, and market sentiment—and synthesizing these with one’s own trading system, entry logic, position sizing, margin usage, and risk tolerance. The core of this approach lies in neither blindly following mainstream bullish or bearish views nor deliberately rejecting external inputs. By utilizing techniques like multi-timeframe alignment, support and resistance verification, and the identification of trend versus range-bound structures, a trader can filter out market noise and emotional signals. This process leads to an independent judgment tailored to the current market structure and aligned with the criteria for taking either long or short positions. This model emphasizes "autonomous decision-making based on integrated information," rather than the stubborn, isolated defense of a pre-existing stance.
In contrast, a dogmatic or "stubborn" trading style is fundamentally characterized by forming a conclusion—bullish or bearish—before selectively gathering evidence to support it, while systematically ignoring contradictory signals. Such traders often predetermine a direction, cherry-picking candlestick patterns, technical indicators, or news items that reinforce their bias. They remain desensitized to critical developments—such as breakouts against their position, unfavorable data, anomalous volatility, or reversals in capital flow—thereby trapping themselves in a self-reinforcing feedback loop. In the context of two-way forex trading combined with leverage, this approach frequently devolves into high-risk behaviors: holding positions against the prevailing trend, refusing to cut losses, "averaging down" (adding to losing positions), excessive hedging, or unnecessarily expanding risk exposure. By ignoring the objective reality that markets exhibit both two-way fluctuations and tendencies toward mean reversion or trend continuation, such traders detach their decisions from actual market movements—ultimately leading to forced liquidations or substantial financial losses.
In short, independent thinking in two-way trading entails making autonomous decisions after fully absorbing multidimensional market information, while using stop-loss orders, position sizing, and risk-reward ratios to govern execution. Conversely, stubborn, subjective dogmatism—where one forms a conclusion on market direction first and then seeks only one-sided evidence to support it—effectively shuts down the self-correcting mechanisms essential to two-way trading. This is a cognitive pitfall that must be avoided.



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