Code generated by indicator_reference_code_generator.py

Author: GitHub Actions

03 Writing Algorithms/28 Indicators/01 Supported Indicators/107 Swiss Army Knife/02 Using SWISS Indicator.html

@@ -19,6 +19,12 @@
             // The current value of _swiss is represented by itself (_swiss)
             // or _swiss.Current.Value
             Plot("SwissArmyKnife", "swiss", _swiss);
+            // Plot all properties of abands
+            Plot("SwissArmyKnife", "gauss", _swiss.Gauss);
+            Plot("SwissArmyKnife", "butter", _swiss.Butter);
+            Plot("SwissArmyKnife", "highpass", _swiss.HighPass);
+            Plot("SwissArmyKnife", "twopolehighpass", _swiss.TwoPoleHighPass);
+            Plot("SwissArmyKnife", "bandpass", _swiss.BandPass);
         }
     }
 }</pre>
@@ -31,7 +37,13 @@
 
         if self._swiss.is_ready:
             # The current value of self._swiss is represented by self._swiss.current.value
-            self.plot("SwissArmyKnife", "swiss", self._swiss.current.value)</pre></div>
+            self.plot("SwissArmyKnife", "swiss", self._swiss.current.value)
+            # Plot all attributes of self._swiss
+            self.plot("SwissArmyKnife", "gauss", self._swiss.gauss.current.value)
+            self.plot("SwissArmyKnife", "butter", self._swiss.butter.current.value)
+            self.plot("SwissArmyKnife", "high_pass", self._swiss.high_pass.current.value)
+            self.plot("SwissArmyKnife", "two_pole_high_pass", self._swiss.two_pole_high_pass.current.value)
+            self.plot("SwissArmyKnife", "band_pass", self._swiss.band_pass.current.value)</pre></div>
 <p>For more information about this method, see the <a rel="nofollow" target="_blank" class='csharp' href="https://www.lean.io/docs/v2/lean-engine/class-reference/cs/classQuantConnect_1_1Algorithm_1_1QCAlgorithm.html">QCAlgorithm class</a><a rel="nofollow" target="_blank" class='python' href="https://www.lean.io/docs/v2/lean-engine/class-reference/py/QuantConnect/Algorithm/QCAlgorithm/#QuantConnect.Algorithm.QCAlgorithm.swiss">QCAlgorithm class</a>.</p>
 <p>You can manually create a <code>SwissArmyKnife</code> indicator, so it doesn't automatically update. Manual indicators let you update their values with any data you choose.</p>
 <p>Updating your indicator manually enables you to control when the indicator is updated and what data you use to update it. To manually update the indicator, call the <code class="csharp">Update</code><code class="python">update</code> method. The indicator will only be ready after you prime it with enough data.</p>
@@ -57,6 +69,12 @@
             // The current value of _swissarmyknife is represented by itself (_swissarmyknife)
             // or _swissarmyknife.Current.Value
             Plot("SwissArmyKnife", "swissarmyknife", _swissarmyknife);
+            // Plot all properties of abands
+            Plot("SwissArmyKnife", "gauss", _swissarmyknife.Gauss);
+            Plot("SwissArmyKnife", "butter", _swissarmyknife.Butter);
+            Plot("SwissArmyKnife", "highpass", _swissarmyknife.HighPass);
+            Plot("SwissArmyKnife", "twopolehighpass", _swissarmyknife.TwoPoleHighPass);
+            Plot("SwissArmyKnife", "bandpass", _swissarmyknife.BandPass);
         }
     }
 }</pre>
@@ -72,5 +90,11 @@
 
         if self._swissarmyknife.is_ready:
             # The current value of self._swissarmyknife is represented by self._swissarmyknife.current.value
-            self.plot("SwissArmyKnife", "swissarmyknife", self._swissarmyknife.current.value)</pre></div>
+            self.plot("SwissArmyKnife", "swissarmyknife", self._swissarmyknife.current.value)
+            # Plot all attributes of self._swissarmyknife
+            self.plot("SwissArmyKnife", "gauss", self._swissarmyknife.gauss.current.value)
+            self.plot("SwissArmyKnife", "butter", self._swissarmyknife.butter.current.value)
+            self.plot("SwissArmyKnife", "high_pass", self._swissarmyknife.high_pass.current.value)
+            self.plot("SwissArmyKnife", "two_pole_high_pass", self._swissarmyknife.two_pole_high_pass.current.value)
+            self.plot("SwissArmyKnife", "band_pass", self._swissarmyknife.band_pass.current.value)</pre></div>
 <p>For more information about this indicator, see its <a rel="nofollow" target="_blank" class='csharp' href="https://www.lean.io/docs/v2/lean-engine/class-reference/cs/classQuantConnect_1_1Indicators_1_1SwissArmyKnife.html">reference</a><a rel="nofollow" target="_blank" class='python' href="https://www.lean.io/docs/v2/lean-engine/class-reference/py/QuantConnect/Indicators/SwissArmyKnife">reference</a>.</p>

03 Writing Algorithms/28 Indicators/01 Supported Indicators/107 Swiss Army Knife/04 Indicator History.html

@@ -14,6 +14,13 @@
         var indicatorHistory = IndicatorHistory(_swiss, _symbol, 100, Resolution.Minute);
         var timeSpanIndicatorHistory = IndicatorHistory(_swiss, _symbol, TimeSpan.FromDays(10), Resolution.Minute);
         var timePeriodIndicatorHistory = IndicatorHistory(_swiss, _symbol, new DateTime(2024, 7, 1), new DateTime(2024, 7, 5), Resolution.Minute);
+
+        // Access all attributes of indicatorHistory
+        var gauss = indicatorHistory.Select(x => ((dynamic)x).Gauss).ToList();
+        var butter = indicatorHistory.Select(x => ((dynamic)x).Butter).ToList();
+        var highPass = indicatorHistory.Select(x => ((dynamic)x).HighPass).ToList();
+        var twoPoleHighPass = indicatorHistory.Select(x => ((dynamic)x).TwoPoleHighPass).ToList();
+        var bandPass = indicatorHistory.Select(x => ((dynamic)x).BandPass).ToList();
     }
 }</pre>
 <pre class="python">class SwissArmyKnifeAlgorithm(QCAlgorithm):
@@ -24,4 +31,11 @@
         indicator_history = self.indicator_history(self._swiss, self._symbol, 100, Resolution.MINUTE)
         timedelta_indicator_history = self.indicator_history(self._swiss, self._symbol, timedelta(days=10), Resolution.MINUTE)
         time_period_indicator_history = self.indicator_history(self._swiss, self._symbol, datetime(2024, 7, 1), datetime(2024, 7, 5), Resolution.MINUTE)
-    </pre></div>
+    
+        # Access all attributes of indicator_history
+        indicator_history_df = indicator_history.data_frame
+        gauss = indicator_history_df["gauss"]
+        butter = indicator_history_df["butter"]
+        high_pass = indicator_history_df["highpass"]
+        two_pole_high_pass = indicator_history_df["twopolehighpass"]
+        band_pass = indicator_history_df["bandpass"]</pre></div>