Group 1 - The function `margincash_open` requires a valid `limit_price` parameter, which should not be set to 0 as it is intended to be a protection price rather than a limit order price [1] - The documentation specifies that `limit_price` is a mandatory parameter when trading stocks on the Shanghai Stock Exchange [1] - The current stock price must be within the sell limit to execute a trade; otherwise, an error will occur if the price exceeds the protection price [6] Group 2 - The current stock price must be set appropriately to ensure that the `limit_price` is within the sell limit range for successful transactions [6] - If the stock price surges beyond the set protection price, the transaction will not be executed, indicating the importance of monitoring price movements [6]

Group 1 - QMT supports quantitative trading in futures, requiring a securities account, trading interface, and quantitative software installation [1] - The service is primarily aimed at clients with programming skills and substantial capital, typically requiring funds between 300,000 to 500,000 [1] - Some brokerage firms offer free simulation systems for testing and provide technical support for implementing quantitative strategies [1] Group 2 - Futures markets can fully implement quantitative trading, utilizing mathematical models and algorithms to analyze market data and execute trading decisions [2] - The core of quantitative trading is to reduce human intervention and subjective judgment, enhancing trading efficiency and accuracy [2] Group 3 - There are certain thresholds for engaging in futures quantitative trading, including capital requirements based on the traded futures and strategies [3][4] - Investors need sufficient capital to manage potential losses due to the high volatility in the futures market [4] Group 4 - Technical knowledge is necessary for quantitative trading, including familiarity with quantitative analysis methods and trading software [6] - Strong risk management capabilities are essential, including setting stop-loss and take-profit points and monitoring market dynamics [6] - Successful quantitative trading requires extensive trading experience and strategy research, along with compliance with legal and regulatory requirements [6]