Predictions File being written

Projects/Superalgos/Plugins/Learning-Engines/Low-Frequency.json

@@ -1 +1 @@
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+{"type":"Learning Engine","name":"Low-Frequency","project":"Superalgos","learningCurrent":{"type":"Learning Current","name":"New Learning Current","project":"Superalgos","learningEpisode":{"type":"Learning Episode","name":"New Learning Episode","project":"Superalgos","serialNumber":{"type":"Serial Number","name":"New Serial Number","config":"{\n\"initialValue\": 0\n}","project":"Superalgos","id":"2cc4ea2e-0c49-4dc4-be14-5c37dba3d4a3","savedPayload":{"position":{"x":11825.790644907258,"y":10354.089002683215},"targetPosition":{"x":11738,"y":10795.442378864669},"floatingObject":{"isPinned":false,"isFrozen":false,"isCollapsed":false,"angleToParent":2,"distanceToParent":4,"arrangementStyle":0},"uiObject":{}}},"identifier":{"type":"Identifier","name":"New Identifier","config":"{\n\"initialValue\": 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0\n}","project":"Superalgos","id":"0cd1e3ea-f314-4777-9988-bbde66dd2688","savedPayload":{"position":{"x":12153.745789630078,"y":10623.23483430038},"targetPosition":{"x":11738,"y":10795.442378864669},"floatingObject":{"isPinned":false,"isFrozen":false,"isCollapsed":false,"angleToParent":2,"distanceToParent":4,"arrangementStyle":0},"uiObject":{}}},"status":{"type":"Status","name":"New Status","config":"{\n\"initialValue\": \"Not Open\"\n}","project":"Superalgos","id":"1961b061-f041-494f-8c47-004c672c23f3","savedPayload":{"position":{"x":12179.353376181454,"y":10707.651733957411},"targetPosition":{"x":11738,"y":10795.442378864669},"floatingObject":{"isPinned":false,"isFrozen":false,"isCollapsed":false,"angleToParent":2,"distanceToParent":4,"arrangementStyle":0},"uiObject":{}}},"exitType":{"type":"Exit Type","name":"New Exit Type","config":"{\n\"initialValue\": \"No 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0\n}","project":"Superalgos","id":"a009dbfb-9fce-4787-9461-dc63cb0cdf03","savedPayload":{"position":{"x":12153.745789630078,"y":10967.649923428959},"targetPosition":{"x":11738,"y":10795.442378864669},"floatingObject":{"isPinned":false,"isFrozen":false,"isCollapsed":false,"angleToParent":2,"distanceToParent":4,"arrangementStyle":0},"uiObject":{}}},"learningEpisodeCounters":{"type":"Learning Episode Counters","name":"New Learning Episode Counters","project":"Superalgos","periods":{"type":"Periods","name":"New Periods","config":"{\n\"initialValue\": 0\n}","project":"Superalgos","id":"74d652d9-7439-4a8f-a66e-588f1cb24686","savedPayload":{"position":{"x":10975.784040048437,"y":12210.957080582268},"targetPositLine truncated

Projects/Superalgos/Plugins/Learning-Mines/Masters.json

@@ -1 +1 @@
-{"type":"Learning Mine","name":"Masters","config":"{ \n\"codeName\": \"Masters\"\n}","project":"Superalgos","learningBots":[{"type":"Learning Bot","name":"Low Frequency","config":"{\n\"codeName\": \"Low-Frequency\"\n}","project":"Superalgos","processes":[{"type":"Process Definition","name":"Learning","config":"{\n    \"codeName\": \"Learning\",\n    \"sessionRunWaitTime\": 5000,\n    \"retryWaitTime\": 10000,\n    \"framework\": {\n      \"name\": \"Low-Frequency-Learning-Process\"\n    }\n  }","project":"Superalgos","processOutput":{"type":"Process Output","name":"New Process Output","project":"Superalgos","outputDatasets":[],"outputDatasetFolders":[{"type":"Output Dataset Folder","name":"Learning Engine","project":"Superalgos","outputDatasets":[],"outputDatasetFolders":[{"type":"Output Dataset Folder","name":"Learning Episode","project":"Superalgos","outputDatasets":[{"type":"Output Dataset","name":"Multi-Period-Market Learning Episode Counters","project":"Superalgos","id":"c0de6b69-60e2-4574-890a-35743f75c569","savedPayload":{"position":{"x":11096.193715496249,"y":18419.16327303778},"targetPosition":{"x":10922.997186924276,"y":18003.828513487584},"floatingObject":{"isPinned":false,"isFrozen":false,"isCollapsed":false,"angleToParent":2,"distanceToParent":3,"arrangementStyle":0},"uiObject":{},"referenceParent":{"type":"Dataset Definition","name":"Multi-Period-Market","id":"ac1bc967-9c9f-47f0-8815-535abd7cb777"}}},{"type":"Output Dataset","name":"Multi-Period-Daily Learning Episode Counters","project":"Superalgos","id":"da23a8ff-8b3d-4caa-a27c-f59352911212","savedPayload":{"position":{"x":10972.16471539031,"y":18451.134397804504},"targetPosition":{"x":10922.997186924276,"y":18003.828513487584},"floatingObject":{"isPinned":false,"isFrozen":false,"isCollapsed":false,"angleToParent":2,"distanceToParent":3,"arrangementStyle":0},"uiObject":{},"referenceParent":{"type":"Dataset 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Statistics","project":"Superalgos","id":"fa9e000d-199c-4ed4-b10f-6c586bfc2fa5","savedPayload":{"position":{"x":10722.527724997106,"y":18406.708141707517},"targetPosition":{"x":10922.997186924276,"y":18003.828513487584},"floatingObject":{"isPinned":false,"isFrozen":false,"isCollapsed":false,"angleToParent":2,"distanceToParent":3,"arrangementStyle":0},"uiObject":{},"referenceParent":{"type":"Dataset Definition","name":"Multi-Period-Daily","id":"553a0b49-2a61-41c4-ac95-f762051c1cab"}}},{"type":"Output Dataset","name":"Multi-Period-Market Episode Candle","project":"Superalgos","id":"a9a7b1fe-ecff-4d08-bd3b-297e4263c703","savedPayload":{"position":{"x":10617.14383902315,"y":18333.909911899664},"targetPosition":{"x":10922.997186924276,"y":18003.828513487584},"floatingObject":{"isPinned":false,"isFrozen":false,"isCollapsed":false,"angleToParent":2,"distanceToParent":3,"arrangementStyle":0},"uiObject":{},"referenceParent":{"type":"Dataset Definition","name":"Multi-Period-Market","id":"a08a3974-75ac-4a2b-bc09-f80547a61381"}}},{"type":"Output Dataset","name":"Multi-Period-Daily Episode Candle","project":"Superalgos","id":"d80bea92-bca6-4826-aa32-34bc7c13f952","savedPayload":{"position":{"x":10536.538372316247,"y":18234.370450262126},"targetPosition":{"x":10922.997186924276,"y":18003.828513487584},"floatingObject":{"isPinned":false,"isFrozen":false,"isCollapsed":false,"angleToParent":2,"distanceToParent":3,"arrangementStyle":0},"uiObject":{},"referenceParent":{"type":"Dataset Definition","name":"Multi-Period-Daily","id":"46221186-fff7-4333-a087-a32a649e9ce8"}}},{"type":"Output Dataset","name":"Multi-Period-Market Distance To Learning Event","project":"Superalgos","id":"0b8ef0c4-c7a9-48cf-9f9b-e48d32f5ed27","savedPayload":{"position":{"x":10487.241500409818,"y":18116.153851992807},"targetPosition":{"x":10922.997186924276,"y":18003.828513487584},"floatingObject":{"isPinned":false,"isFrozen":false,"isCollapsed":false,"angleToParent":2,"distanceToParent":3,"arrangementStyle":0},"uiObject":{},"referenceParent":{"type":"Dataset Definition","name":"Multi-Period-Market","id":"0d746a41-6726-41fd-9312-862b6835b8ba"}}},{"type":"Output Dataset","name":"Multi-Period-Daily Distance To Learning Event","project":"Superalgos","id":"a8951035-4bf1-4d0d-8666-879b2c481b6d","savedPayload":{"position":{"x":10473.246962685937,"y":17988.837322822303},"targetPosition":{"x":Line truncated
+{"type":"Learning Mine","name":"Masters","config":"{ \n\"codeName\": \"Masters\"\n}","project":"Superalgos","learningBots":[{"type":"Learning Bot","name":"Low Frequency","config":"{\n\"codeName\": \"Low-Frequency\"\n}","project":"Superalgos","processes":[{"type":"Process Definition","name":"Learning","config":"{\n    \"codeName\": \"Learning\",\n    \"sessionRunWaitTime\": 5000,\n    \"retryWaitTime\": 10000,\n    \"framework\": {\n      \"name\": \"Low-Frequency-Learning-Process\"\n    }\n  }","project":"Superalgos","processOutput":{"type":"Process Output","name":"New Process Output","project":"Superalgos","outputDatasets":[],"outputDatasetFolders":[{"type":"Output Dataset Folder","name":"Learning Engine","project":"Superalgos","outputDatasets":[],"outputDatasetFolders":[{"type":"Output Dataset Folder","name":"Learning Episode","project":"Superalgos","outputDatasets":[{"type":"Output Dataset","name":"Multi-Period-Market Learning Episode Counters","project":"Superalgos","id":"c0de6b69-60e2-4574-890a-35743f75c569","savedPayload":{"position":{"x":10770.578330127608,"y":18237.318563914418},"targetPosition":{"x":10828.2531163121,"y":17791.02984678326},"floatingObject":{"isPinned":false,"isFrozen":false,"isCollapsed":false,"angleToParent":2,"distanceToParent":3,"arrangementStyle":0},"uiObject":{},"referenceParent":{"type":"Dataset Definition","name":"Multi-Period-Market","id":"ac1bc967-9c9f-47f0-8815-535abd7cb777"}}},{"type":"Output Dataset","name":"Multi-Period-Daily Learning Episode Counters","project":"Superalgos","id":"da23a8ff-8b3d-4caa-a27c-f59352911212","savedPayload":{"position":{"x":10647.18050284652,"y":18202.991870096994},"targetPosition":{"x":10828.2531163121,"y":17791.02984678326},"floatingObject":{"isPinned":false,"isFrozen":false,"isCollapsed":false,"angleToParent":2,"distanceToParent":3,"arrangementStyle":0},"uiObject":{},"referenceParent":{"type":"Dataset 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Definition","name":"Multi-Period-Market","id":"a08a3974-75ac-4a2b-bc09-f80547a61381"}}},{"type":"Output Dataset","name":"Multi-Period-Daily Episode Candle","project":"Superalgos","id":"d80bea92-bca6-4826-aa32-34bc7c13f952","savedPayload":{"position":{"x":10378.298996957856,"y":17797.455613363665},"targetPosition":{"x":10828.2531163121,"y":17791.02984678326},"floatingObject":{"isPinned":false,"isFrozen":false,"isCollapsed":false,"angleToParent":2,"distanceToParent":3,"arrangementStyle":0},"uiObject":{},"referenceParent":{"type":"Dataset Definition","name":"Multi-Period-Daily","id":"46221186-fff7-4333-a087-a32a649e9ce8"}}},{"type":"Output Dataset","name":"Multi-Period-Market Distance To Learning Event","project":"Superalgos","id":"0b8ef0c4-c7a9-48cf-9f9b-e48d32f5ed27","savedPayload":{"position":{"x":10394.71495269444,"y":17670.42860016024},"targetPosition":{"x":10828.2531163121,"y":17791.02984678326},"floatingObject":{"isPinned":false,"isFrozen":false,"isCollapsed":false,"angleToParent":2,"distanceToParent":3,"arrangementStyle":0},"uiObject":{},"referenceParent":{"type":"Dataset Definition","name":"Multi-Period-Market","id":"0d746a41-6726-41fd-9312-862b6835b8ba"}}},{"type":"Output Dataset","name":"Multi-Period-Daily Distance To Learning Event","project":"Superalgos","id":"a8951035-4bf1-4d0d-8666-879b2c481b6d","savedPayload":{"position":{"x":10446.25359209659,"y":17553.171982714983},"targetPosition":{"x":10828.2531163121,"y":177Line truncated

Projects/Superalgos/Schemas/AppSchema.json

@@ -3154,10 +3154,73 @@
                 "type": "node",
                 "childType": "End",
                 "autoAdd": true
+            },
+            {
+                "name": "predictionValue",
+                "type": "node",
+                "childType": "Prediction Value",
+                "autoAdd": true
             }
         ],
         "icon": "bitcoin"
     },
+    {
+        "type": "Prediction Value",
+        "menuItems": [
+            {
+                "action": "Configure",
+                "label": "Configure",
+                "iconPathOn": "configuration",
+                "iconPathOff": "configuration",
+                "actionFunction": "uiObject.configEditor.activate"
+            },
+            {
+                "action": "Copy Node Path",
+                "label": "Copy Node Path",
+                "iconPathOn": "copy-path",
+                "iconPathOff": "copy-path",
+                "actionFunction": "payload.executeAction"
+            },
+            {
+                "action": "Copy Node Value",
+                "label": "Copy Node Value",
+                "iconPathOn": "copy-value",
+                "iconPathOff": "copy-value",
+                "actionFunction": "payload.executeAction"
+            },
+            {
+                "action": "Copy Node Type",
+                "label": "Copy Node Type",
+                "iconPathOn": "copy-type",
+                "iconPathOff": "copy-type",
+                "actionFunction": "payload.executeAction"
+            },
+            {
+                "action": "Delete UI Object",
+                "askConfirmation": true,
+                "confirmationLabel": "Confirm to Delete",
+                "label": "Delete",
+                "iconPathOn": "delete-entity",
+                "iconPathOff": "delete-entity",
+                "actionFunction": "payload.executeAction"
+            }
+        ],
+        "editors": {
+            "config": true
+        },
+        "initialValues": {
+            "config": "{\n\"initialValue\": 0\n}"
+        },
+        "addLeftIcons": true,
+        "level": 3,
+        "attachingRules": {
+            "compatibleTypes": "->Prediction->"
+        },
+        "propertyNameAtParent": "predictionValue",
+        "childrenNodesProperties": [
+        ],
+        "icon": "bitcoin"
+    },
     {
         "type": "Dynamic Indicators",
         "menuItems": [

Projects/Superalgos/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/LearningRecords.js

@@ -143,9 +143,6 @@ exports.newSuperalgosBotModulesLearningRecords = function (processIndex) {
                 the Root Node specifically for this property only.
                 */
                 if (recordProperty.config.nodePath !== undefined) {
-                    if (recordProperty.config.nodePath === "learningEngine.exchangeOrders.marketBuyOrders.marketOrders[index].orderBaseAsset") {
-                        let a = learningEngine
-                    }
                     try {
                         propertyRootNode = eval(recordProperty.config.nodePath)
                     } catch (err) {
@@ -291,9 +288,6 @@ exports.newSuperalgosBotModulesLearningRecords = function (processIndex) {
                 When we are not dealing with objects, we add every record to the existing file except 
                 for the ones that are filtered out at the Product Definition.
                 */
-                if (product.config.codeName === "Learning-System-Errors") {
-                    let a = 1
-                }
                 if (product.config.propertyNameThatDefinesStatus !== undefined && product.config.propertyValueThatPreventsSavingObject !== undefined) {
                     for (let j = 0; j < product.record.properties.length; j++) {
                         let recordProperty = product.record.properties[j]

Projects/Superalgos/TS/Bot-Modules/Trading-Bot/Low-Frequency-Trading/TradingRecords.js

@@ -143,9 +143,6 @@ exports.newSuperalgosBotModulesTradingRecords = function (processIndex) {
                 the Root Node specifically for this property only.
                 */
                 if (recordProperty.config.nodePath !== undefined) {
-                    if (recordProperty.config.nodePath === "tradingEngine.exchangeOrders.marketBuyOrders.marketOrders[index].orderBaseAsset") {
-                        let a = tradingEngine
-                    }
                     try {
                         propertyRootNode = eval(recordProperty.config.nodePath)
                     } catch (err) {
@@ -291,9 +288,6 @@ exports.newSuperalgosBotModulesTradingRecords = function (processIndex) {
                 When we are not dealing with objects, we add every record to the existing file except 
                 for the ones that are filtered out at the Product Definition.
                 */
-                if (product.config.codeName === "Trading-System-Errors") {
-                    let a = 1
-                }
                 if (product.config.propertyNameThatDefinesStatus !== undefined && product.config.propertyValueThatPreventsSavingObject !== undefined) {
                     for (let j = 0; j < product.record.properties.length; j++) {
                         let recordProperty = product.record.properties[j]

Projects/Superalgos/UI/Function-Libraries/LearningSessionFunctions.js

@@ -119,7 +119,7 @@ function newSuperalgosFunctionLibraryLearningSessionFunctions() {
             'Serial Number->Identifier->Begin->End->Begin Rate->End Rate->Strategy Name->Status->Exit Type->' +
             'Balance->Begin Balance->End Balance->' +
             'Index->Situation Name->Formula->Periods->' + 
-            'Predictions->Prediction->Begin->End->'
+            'Predictions->Prediction->Begin->End->Prediction Value->'
 
         let learningEngine = UI.projects.superalgos.functionLibraries.protocolNode.getProtocolNode(node.learningEngineReference.payload.referenceParent, false, true, true, false, false, lightingPath)
 

Projects/Superalgos/UI/Spaces/Floating-Space/UiObjectTitle.js

@@ -358,9 +358,6 @@ function newUiObjectTitle() {
                     let phrases = splitTextIntoPhrases(label, 2)
                     let lineSeparator = thisObject.payload.floatingObject.currentFontSize * 1.2
                     
-                    if (phrases.length > 3) {
-                        let a = 1
-                    }
                     for (let i = 0; i < phrases.length; i++) {
                         let phrase = phrases[i]
                         let point = {

Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/TensorFlowLibrary.js

@@ -461,19 +461,23 @@ exports.newTensorFlowBotModulesTensorFlowLibrary = function (processIndex) {
 
         async function predict() {
             let featuresTensor = tensorFlowBackend.tensor([features])
-            let predictions = tensorFlowModel.predict(featuresTensor,{ verbose: 1 })
+            let predictions = tensorFlowModel.predict(featuresTensor, { verbose: 1 })
 
             /* 
-            For each label, we will have a predictions, and we will store it at the
+            We will download the predictions to an array, and we will store each one at the
             learning engine data structure.
             */
-            let predictionsArray =  predictions.dataSync()
+            let predictionsArray = predictions.dataSync()
             predictions.dispose()
             featuresTensor.dispose()
 
             for (let i = 0; i < predictionsArray.length; i++) {
                 let prediction = predictionsArray[i]
-                learningEngine.predictions.predictions[i].value = prediction
+                if (isNaN(prediction)) {
+                    prediction = 0
+                }
+                if (learningEngine.predictions.predictions[i] === undefined) { continue }
+                learningEngine.predictions.predictions[i].predictionValue.value = prediction
                 learningEngine.predictions.predictions[i].begin.value = learningEngine.learningCurrent.learningEpisode.candle.begin.value
                 learningEngine.predictions.predictions[i].end.value = learningEngine.learningCurrent.learningEpisode.candle.end.value
             }