掌握百分比止损交易策略 - TradingView编程测验

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Questions and Answers

在TradingView中,当前支持哪些止损方式?

  • 以上都支持
  • 基于价格的止损 (correct)
  • 基于点数的止损
  • 基于百分比的止损

如何在TradingView中实现基于百分比的止损订单?

  • 在图表上手动设置止损价格和百分比
  • 设置输入以确定最大损失百分比,使用百分比计算止损价格,提交实际止损订单 (correct)
  • 使用默认的价格和tick止损,然后在图表上手动计算百分比止损
  • 使用默认的百分比止损设置,然后在图表上手动计算止损价格

本文提到了实现基于百分比止损的三个关键步骤,以下哪个不是其中之一?

  • 选择交易品种 (correct)
  • 使用百分比计算止损价格
  • 提交实际止损订单
  • 设置最大亏损百分比

该文章提供了一个什么样的示例策略?

<p>使用1%的多头和空头止损 (D)</p> Signup and view all the answers

本文提供了一个使用什么样的策略来演示如何在TradingView中实现基于百分比止损的例子?

<p>1%的多头和空头止损 (A)</p> Signup and view all the answers

在TradingView中,目前仅支持哪些类型的止损订单?

<p>价格和tick止损 (B)</p> Signup and view all the answers

在长期回测场景中,基于百分比的止损有哪些优点?

<p>更加精准 (C)</p> Signup and view all the answers

基于百分比的止损订单在长期回测中有哪些好处?

<p>可以更好地控制风险和损失 (B)</p> Signup and view all the answers

在实现基于百分比止损的过程中,哪个步骤需要使用输入框来设置最大亏损百分比?

<p>设置最大亏损百分比 (C)</p> Signup and view all the answers

在实现基于百分比的止损订单时,第一步是什么?

<p>设置最大损失百分比的输入 (D)</p> Signup and view all the answers

如何使用plot()函数在TradingView图表上显示基于百分比的止损?

<p>使用plot()函数内置的参数 (D)</p> Signup and view all the answers

如何使用plot()函数在图表上显示止损?

<p>使用plot()函数并将止损价格作为参数传递 (C)</p> Signup and view all the answers

在TradingView中,如何实现基于百分比的移动止损?

<p>文章没有提到如何实现基于百分比的移动止损 (C)</p> Signup and view all the answers

基于百分比的止损可以适应哪些交易品种和市场情况?

<p>适用于所有交易品种和市场 (C)</p> Signup and view all the answers

在实现基于百分比止损的过程中,哪个步骤需要使用百分比来计算止损价格?

<p>使用百分比计算止损价格 (B)</p> Signup and view all the answers

在实现基于百分比的止损订单时,第二步是什么?

<p>使用百分比计算止损价格 (D)</p> Signup and view all the answers

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Study Notes

This article explains how to code percentage-based stop-loss orders in TradingView, which currently only supports tick and price-based stops. The article outlines three key steps to implement these stops, including setting the maximum loss percentage with inputs, using the percentage to calculate the stop-loss price, and submitting the actual stop-loss orders. The article provides an example strategy that uses a 1% long and short stop, and demonstrates how to display these stops on a chart using the plot() function. The article concludes by highlighting the benefits of percentage-based stops in long-term backtesting scenarios.

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