Thanks to Teacher Big Finger for sharing, I have gained a lot.

I believe that building a detailed system for professional traders in the cryptocurrency market requires the integration of multiple functional modules such as real-time data collection, technical analysis, risk control, and trade execution, thereby providing a scientific basis for trading decisions and efficient execution support. In terms of system architecture, a stable and efficient data processing platform must first be established. By capturing data from multiple exchange APIs, deep data fusion can be achieved to ensure the accuracy and timeliness of market data. At the same time, the system should integrate a high-performance matching engine and order routing mechanism to ensure rapid response and completion of trades even during significant market fluctuations.

In terms of technical indicators, the detailed system needs to incorporate various technical analysis tools, such as Moving Average (MA), Relative Strength Index (RSI), and Bollinger Bands, and finely tune their parameters based on historical data and market characteristics. For instance, moving averages can be set at 5-day, 20-day, and 60-day intervals to capture short-term, medium-term, and long-term trends; while the RSI indicator can be set with a 14-day standard period, with overbought and oversold zones set around 70 and 30, respectively, to timely identify market reversal signals. The Bollinger Bands parameters can be set according to standard deviation to flexibly adapt to market fluctuations.

Additionally, the system needs to establish a rigorous risk control module, implementing strategies such as stop-loss, take-profit, and position management to achieve scientific allocation of funds and dynamic monitoring of risks. By combining a quantitative strategy backtesting module, traders can simulate the performance of different indicator parameter combinations, further optimizing strategies and enhancing overall profitability. Overall, this system not only requires precise and scientific settings for technical indicators and parameters but also needs to achieve closed-loop management from data to decision-making to execution through multi-layered risk control and flexible execution strategies, providing solid technical support and operational assistance for professional traders in the complex and ever-changing cryptocurrency market.