插件用途

插件可以执行代码一段时间，用于执行一些简单的操作，例如冰山委托、挂单、撤单、计算等任务。与调试工具一样使用return返回结果，也可以直接返回图表和表格。
以下是几个示例，其他功能可以自行探索。

• 返回深度快照

  • Javascript
  • Python
  • C++

  
              javascript
              
              
  // 返回深度的快照
  function main() {
      var tbl = {
          type: 'table',
          title: '深度快照 @ ' + _D(),
          cols: ['#', 'Amount', 'Ask', 'Bid', 'Amount'],
          rows: []
      }
      var d = exchange.GetDepth()
      for (var i = 0; i < Math.min(Math.min(d.Asks.length, d.Bids.length), 15); i++) {
          tbl.rows.push([i, d.Asks[i].Amount, d.Asks[i].Price+'#ff0000', d.Bids[i].Price+'#0000ff', d.Bids[i].Amount])
      }
      return tbl
  }
  

  
              python
              
              
  def main():
      tbl = {
          "type": "table",
          "title": "深度快照 @ " + _D(),
          "cols": ["#", "Amount", "Ask", "Bid", "Amount"],
          "rows": []
      }
      d = exchange.GetDepth()
      for i in range(min(min(len(d["Asks"]), len(d["Bids"])), 15)):
          tbl["rows"].append([i, d["Asks"][i]["Amount"], str(d["Asks"][i]["Price"]) + "#FF0000", str(d["Bids"][i]["Price"]) + "#0000FF", d["Bids"][i]["Amount"]])
      return tbl
  

  
              c++
              
              
  void main() {
      json tbl = R"({
          "type": "table",
          "title": "abc",
          "cols": ["#", "Amount", "Ask", "Bid", "Amount"],
          "rows": []
      })"_json;
  
      tbl["title"] = "深度快照 @" + _D();
      auto d = exchange.GetDepth();
      for(int i = 0; i < 5; i++) {
          tbl["rows"].push_back({format("%d", i), format("%f", d.Asks[i].Amount), format("%f #FF0000", d.Asks[i].Price), format("%f #0000FF", d.Bids[i].Price), format("%f", d.Bids[i].Amount)});
      }
  
      LogStatus("`" + tbl.dump() + "`");
      // C++ 不支持return json 显示表格，可以创建实盘显示状态栏表格
  }
  

• 绘制跨期价差图

  • Javascript
  • Python
  • C++

  
              javascript
              
              
  // 画跨期差价
  var chart = {
      __isStock: true,
      title : { text : '差价分析图'},
      xAxis: { type: 'datetime'},
      yAxis : {
          title: {text: '差价'},
          opposite: false
      },
      series : [
          {name : "diff", data : []}
      ]
  }
  
  function main() {
      exchange.SetContractType('rb2205')   // 实际使用时，需要自行修改需要的合约代码
      var recordsA = exchange.GetRecords(PERIOD_M5)
      exchange.SetContractType('rb2201')   // 实际使用时，需要自行修改需要的合约代码
      var recordsB = exchange.GetRecords(PERIOD_M5)
  
      for(var i = 0; i < Math.min(recordsA.length, recordsB.length); i++){
          var diff = recordsA[recordsA.length - Math.min(recordsA.length, recordsB.length) + i].Close - recordsB[recordsB.length - Math.min(recordsA.length, recordsB.length) + i].Close
          chart.series[0].data.push([recordsA[recordsA.length - Math.min(recordsA.length, recordsB.length) + i].Time, diff])
      }
      return chart
  }
  

  
              python
              
              
  chart = {
      "__isStock": True,
      "title": {"text": "差价分析图"},
      "xAxis": {"type": "datetime"},
      "yAxis": {
          "title": {"text": "差价"},
          "opposite": False
      },
      "series": [
          {"name": "diff", "data": []}
      ]
  }
  
  def main():
      exchange.SetContractType("rb2205")
      recordsA = exchange.GetRecords(PERIOD_M5)
      exchange.SetContractType("rb2201")
      recordsB = exchange.GetRecords(PERIOD_M5)
  
      for i in range(min(len(recordsA), len(recordsB))):
          diff = recordsA[len(recordsA) - min(len(recordsA), len(recordsB)) + i].Close - recordsB[len(recordsB) - min(len(recordsA), len(recordsB)) + i].Close
          chart["series"][0]["data"].append([recordsA[len(recordsA) - min(len(recordsA), len(recordsB)) + i]["Time"], diff])
      return chart
  

  
              c++
              
              
  // C++ 不支持 return json 结构画图
  

策略广场中还有其他示例可供参考，例如：逐笔小量买入/卖出。