成交比数：理解股市交易的重要指标

中文段落：

成交比数，又称为成交比率，是股票市场中一个重要的交易指标。它表示在特定时间段内，实际成交的股票数量与挂出的股票数量之间的比例。简单来说，成交比数反映了市场的交易活跃度和投资者的参与度。

成交比数的计算通常基于一段时间内的交易数据，例如一分钟、一小时或一天。其计算公式为：成交比数 = 实际成交股票数量 / 挂出股票数量。这个比例越高，说明市场的交易活跃度越高，投资者对于市场的信心也越强。

成交比数的变化对于投资者来说具有重要的参考价值。当成交比数上升时，意味着市场中的交易活动增加，投资者对于市场的预期变得更加乐观。这可能是一个买入的信号，因为市场活跃度的增加可能会推动股价上涨。

然而，当成交比数下降时，可能意味着市场的交易活跃度降低，投资者对于市场的信心减弱。这可能是一个卖出的信号，因为市场的低迷情绪可能会导致股价下跌。

当然，成交比数并非绝对的交易指标，它还需要结合其他因素如股价走势、基本面分析等进行综合判断。投资者在使用成交比数时，应当注意其局限性，并结合其他指标进行综合分析。

英文段落：

Trade Ratio: A Crucial Indicator for Understanding Stock Market Transactions

The trade ratio, also known as the ratio of trades, is an essential trading metric in the stock market. It represents the proportion between the actual number of stocks traded and the number of stocks offered for sale within a specific time frame. In simple terms, the trade ratio reflects the trading activity and investor participation in the market.

The calculation of the trade ratio is typically based on trading data over a period, such as one minute, one hour, or one day. The formula for computing the trade ratio is: Trade Ratio = Actual Number of Stocks Traded / Number of Stocks Offered for Sale. The higher this ratio, the more active the trading is in the market, and the stronger investors' confidence in the market becomes.

Changes in the trade ratio provide valuable reference for investors. When the trade ratio rises, it indicates an increase in trading activities in the market, and investors become more optimistic about market expectations. This could be a buying signal, as increased market activity may drive stock prices up.

However, when the trade ratio declines, it may suggest a decrease in trading activity and weaker investor confidence in the market. This could be a selling signal, as market pessimism could lead to a decline in stock prices.

It's important to note that the trade ratio is not an absolute trading indicator and should be combined with other factors such as stock price movement and fundamental analysis for comprehensive judgment. Investors should be aware of its limitations and use it in conjunction with other metrics for a holistic analysis.