#交易策略误区 in trading, many strategic misconceptions may lead to losses or suboptimal outcomes. Here are some common core misconceptions:

Overly Pursuing the 'Perfect Strategy'

• Believing that there is a 'winning' strategy that can precisely predict the market, ignoring market uncertainties.

• Frequently changing strategies, abandoning each one after just a few losses, lacking the patience for long-term verification and optimization.

Ignoring Risk Control

• Trading with high leverage, trying to 'get rich quickly' with a single high-position trade; a misjudgment can lead to significant losses.

• Not setting stop-loss orders or arbitrarily changing stop-loss levels, harboring a wishful thinking that 'holding on will allow recovery,' ultimately leading to small losses becoming large losses.

Over-Reliance on Technical Indicators

• Piling on multiple technical indicators, becoming confused when signals conflict, and losing the ability to judge the essence of the market.

• Mechanically applying indicator signals while ignoring changes in market conditions (such as trends, trading volume, news), for example, using trend indicators in a ranging market, or using range indicators in a trending market.

Emotional Trading Dominates

• Being greedy when profitable, unwilling to take profits, leading to profit loss or even turning profits into losses; panicking during losses, irrationally closing positions and missing rebound opportunities.

• Revenge trading, hurriedly trying to 'recoup' after a loss, violating the original strategy and opening positions indiscriminately, falling into a vicious cycle.

Lack of Strategy Adaptability

• Not considering one's own risk tolerance, blindly adopting high-risk strategies (such as strategies with excessively high leverage).

• Ignoring market characteristics, such as directly applying strategies suitable for stocks to markets like forex or cryptocurrencies that have different volatility.

Disconnection Between Backtesting and Live Trading

• Over-optimizing backtest data, adding too many 'fitting' conditions to make the strategy perform perfectly in historical data, leading to failure in live trading (i.e., the 'curve fitting trap').

• Ignoring trading costs (such as commissions, slippage, etc.) during backtesting, resulting in a significant gap between theoretical and actual returns.

The core of these misconceptions often lies in insufficient understanding of market rules, weak risk awareness, or unbalanced mindset management. The effectiveness of trading strategies needs to be ensured through rational analysis, risk control, and continuous review.