Plugin Principle

The principle is the same as the Debugging Tool - it sends a code snippet to the selected docker on the trading terminal page for execution, supporting the return of charts and tables (the debugging tool has also been upgraded to support this feature). Like the Debugging Tool, it can only execute for 3 minutes, and this feature is free of charge. It can be used to implement simple functions to assist manual trading, while complex strategies still need to run in live trading.

Plugin Development

Create trading terminal plugins by setting the strategy type to "Trading Plugin" on the New Strategy page. Trading plugins support JavaScript, Python, C++, and MyLanguage.

Plugin Usage

Plugins can execute code for a period of time to perform simple operations such as iceberg orders, placing orders, canceling orders, calculations, and other tasks. Like the debugging tool, use return to return results, and can also directly return charts and tables. Here are several examples, other features can be explored on your own.

• Return depth snapshot

  • Javascript
  • Python
  • C++

  
              javascript
              
              
  // Return a snapshot of the depth
  function main() {
      var tbl = {
          type: 'table',
          title: 'Depth Snapshot @ ' + _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": "Depth Snapshot @ " + _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"] = "Depth Snapshot @" + _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++ does not support return json to display tables, you can create live trading status bar tables
  }
  

• Draw inter-period spread chart

  • Javascript
  • Python
  • C++

  
              javascript
              
              
  // Draw inter-period spread
  var chart = {
      __isStock: true,
      title : { text : 'Spread Analysis Chart'},
      xAxis: { type: 'datetime'},
      yAxis : {
          title: {text: 'Spread'},
          opposite: false
      },
      series : [
          {name : "diff", data : []}
      ]
  }
  
  function main() {
      exchange.SetContractType('quarter')
      var recordsA = exchange.GetRecords(PERIOD_M5)
      exchange.SetContractType('this_week')
      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": "Spread Analysis Chart"},
      "xAxis": {"type": "datetime"},
      "yAxis": {
          "title": {"text": "Spread"},
          "opposite": False
      },
      "series": [
          {"name": "diff", "data": []}
      ]
  }
  
  def main():
      exchange.SetContractType("quarter")
      recordsA = exchange.GetRecords(PERIOD_M5)
      exchange.SetContractType("this_week")
      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++ does not support return json structure for charting
  

Strategy Square has other examples for reference, such as: Small-lot incremental buy/sell.

Usage

• Add Trading Terminal Plugin Module
  Open the module addition menu on the trading terminal page. Trading terminal plugins from the current FMZ account's strategy library will automatically appear in the list. Find the plugin you need to add and click to add it.
  • Run Plugin
    Click the "Execute" button to start running the trading terminal plugin. The plugin will not display log information, but can return and display data tables.
• Plugin Runtime
  The maximum runtime for trading terminal plugins is 3 minutes. Plugins will automatically stop running after 3 minutes.