Regarding the indicator warning function of the ICT trading system, we have recently made a series of optimizations and improvements aimed at enhancing the accuracy and efficiency of trading decisions.

First, we introduce the key indicator of the risk-reward ratio. This indicator measures the potential risk-reward ratio by calculating the percentage distance between the current price position and the potential stop-loss point (usually the swing low) and the take-profit point (usually the swing high). This improvement helps traders better assess the risk-return situation of each trade, allowing them to make more informed decisions. However, it is worth noting that the effectiveness of the risk-reward ratio calculation may be influenced by the chosen time period, so it needs to be considered carefully when using it.

Secondly, we have added a signal strength indicator. The main purpose of this indicator is to help filter out noise signals in the market and improve the reliability of trading signals. The higher the signal strength, the more it deserves the attention and consideration of traders. This addition helps reduce misjudgments and increase the success rate of trades.

In addition to these implemented improvements, we also plan to develop and integrate more auxiliary indicators to further enhance the overall performance of the trading system. These new indicators will be seamlessly integrated with the existing system, providing more comprehensive data support for trading decisions.

It is important to emphasize that, despite our continuous efforts to improve the accuracy and reliability of the system, traders still need to remain cautious and think independently. No trading system, no matter how advanced, can completely replace human judgment and market experience. Therefore, we recommend that users make prudent decisions by combining these indicators and signals with their own trading strategies and risk management principles.

With the implementation of these optimization measures, we expect to see a significant improvement in the overall performance of the trading system, providing users with a better trading experience and potential returns. We will continue to pay attention to user feedback and make further adjustments and improvements based on actual usage.