Dependencies working
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@@ -32,7 +32,9 @@
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let record = {}
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for (let j = 0; j < recordDefinition.properties.length; j++) {
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let property = recordDefinition.properties[j]
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record[property.code.codeName] = dataFile[i][j]
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if (property.code.isCalculated !== true) {
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record[property.code.codeName] = dataFile[i][j]
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}
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}
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jsonifiedArray.push(record);
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@@ -41,52 +43,60 @@
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return jsonifiedArray
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}
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function calculationsProcedure(dependencyArray, variableName, timePeriod) {
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function calculationsProcedure(jsonArray, recordDefinition, calculationsProcedure, variableName, timePeriod) {
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/*
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This function has as an input an array of JSON objects, and it adds calculated properties to
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complete the set of properties that will be available for Formulas.
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*/
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let dependecyArray = []
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let system = { // These are the available system variables to be used in User Code and Formulas
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timePeriod: timePeriod,
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ONE_DAY_IN_MILISECONDS: ONE_DAY_IN_MILISECONDS
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}
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let variable = {} // This is the structure where the user will define its own variables that will be shared amond different code blocks and formulas.
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let resultingArray = []
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/* This is Initialization Code */
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let lastMovingAverage = 0;
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const SIDE_TOLERANCE = 0.5 * timePeriod / ONE_DAY_IN_MILISECONDS;
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const SMALL_SLOPE = 1.0 * timePeriod / ONE_DAY_IN_MILISECONDS;
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const MEDIUM_SLOPE = 2.0 * timePeriod / ONE_DAY_IN_MILISECONDS;
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const HIGH_SLOPE = 4.0 * timePeriod / ONE_DAY_IN_MILISECONDS;
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/* This is Initialization Code */
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for (let i = 0; i < dataFile.length; i++) {
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let indicator = {}
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indicator[variableName] = dataFile[i]
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/* This is Add Properties Code */
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if (lastMovingAverage > indicator.bollingerBand.movingAverage) { indicator.bollingerBand.direction = 'Down'; }
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if (lastMovingAverage < indicator.bollingerBand.movingAverage) { indicator.bollingerBand.direction = 'Up'; }
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if (lastMovingAverage === indicator.bollingerBand.movingAverage) { indicator.bollingerBand.direction = 'Side'; }
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let delta = Math.abs(indicator.bollingerBand.movingAverage - lastMovingAverage);
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indicator.bollingerBand.slope = 'Extreme';
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if (delta < indicator.bollingerBand.movingAverage * HIGH_SLOPE / 100) { indicator.bollingerBand.slope = 'Steep'; }
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if (delta < indicator.bollingerBand.movingAverage * MEDIUM_SLOPE / 100) { indicator.bollingerBand.slope = 'Medium'; }
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if (delta < indicator.bollingerBand.movingAverage * SMALL_SLOPE / 100) { indicator.bollingerBand.slope = 'Gentle'; }
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if (delta < indicator.bollingerBand.movingAverage * SIDE_TOLERANCE / 100) { indicator.bollingerBand.slope = 'Side'; }
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lastMovingAverage = indicator.bollingerBand.movingAverage;
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/* This is Add Properties Code */
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dependecyArray.push(indicator.bollingerBand);
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if (calculationsProcedure.initialization !== undefined) {
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if (calculationsProcedure.initialization.code !== undefined) {
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eval(calculationsProcedure.initialization.code.code)
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}
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}
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return dependecyArray
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/* This is Initialization Code */
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if (calculationsProcedure.loop !== undefined) {
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if (calculationsProcedure.loop.code !== undefined) {
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for (let i = 0; i < jsonArray.length; i++) {
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let indicator = {}
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indicator[variableName] = jsonArray[i]
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/* This is Loop Code */
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eval(calculationsProcedure.loop.code.code)
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/* For each calculated property we apply its formula*/
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for (let j = 0; j < recordDefinition.properties.length; j++) {
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let property = recordDefinition.properties[j]
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if (property.code.isCalculated === true) {
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if (property.formula !== undefined) {
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if (property.formula.code !== undefined) {
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let newValue = eval(property.formula.code)
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let currentRecord = indicator[variableName]
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currentRecord[property.code.codeName] = newValue
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}
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}
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}
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}
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/* Adding the new element to the resulting array */
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resultingArray.push(indicator.bollingerBand);
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}
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}
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}
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return resultingArray
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}
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function addCalculatedProperties(dependencyArray, variableName, timePeriod) {
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let dependecyArray = []
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+36
-1
@@ -51,19 +51,54 @@
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let dataDependencies = bot.processNode.referenceParent.processDependencies.dataDependencies
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for (let i = 0; i < dataDependencies.length; i++) {
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let dataset = dataDependencies[i].referenceParent
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let dataFile = dataFiles[i]
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let jsonData // Datafile converted into Json objects
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let inputData // Includes calculated properties
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let variableName // name of the variable for this product
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let recordDefinition
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/*
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For each dataset in our data dependencies, we should have da dataFile containing the records needed as an imput for this process.
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What we need to do first is transform those records into JSON objects that can be used by user-defined formulas.
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The first step does that but with the not calculated properties, the second step adds the calculated properties.
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*/
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/* Basic validations to see if we have everything we need. */
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if (dataset.parentNode.code.variableName === undefined) {
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logger.write(MODULE_NAME, "[ERROR] start -> Product Definition without a Variable Name defined. Product Definition = " + JSON.stringify(dataset.parentNode));
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callBackFunction(global.DEFAULT_FAIL_RESPONSE);
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return
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}
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if (dataset.parentNode.record === undefined) {
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logger.write(MODULE_NAME, "[ERROR] start -> Product Definition without a Record Definition. Product Definition = " + JSON.stringify(dataset.parentNode));
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callBackFunction(global.DEFAULT_FAIL_RESPONSE);
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return
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}
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dataset.inputData = commons.jsonifyDataFile(dataFiles[i], dataset.parentNode.record)
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if (dataset.parentNode.calculations === undefined) {
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logger.write(MODULE_NAME, "[ERROR] start -> Product Definition without a Calculations Procedure. Product Definition = " + JSON.stringify(dataset.parentNode));
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callBackFunction(global.DEFAULT_FAIL_RESPONSE);
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return
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}
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if (dataset.parentNode.dataBuilding === undefined) {
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logger.write(MODULE_NAME, "[ERROR] start -> Product Definition without a Data Building Procedure. Product Definition = " + JSON.stringify(dataset.parentNode));
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callBackFunction(global.DEFAULT_FAIL_RESPONSE);
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return
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}
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recordDefinition = dataset.parentNode.record
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variableName = dataset.parentNode.code.variableName
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/* Transform the raw data into JSON objects */
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jsonData = commons.jsonifyDataFile(dataFile, recordDefinition)
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/* Add the calculated properties */
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if (dataset.parentNode.calculations !== undefined) {
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inputData = commons.calculationsProcedure(jsonData, recordDefinition, dataset.parentNode.calculations, variableName, timePeriod)
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}
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}
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/* During the next phase, we need to generate the data of the different products this process produces an output */
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@@ -72,15 +72,7 @@ if (global.TASK_NODE !== undefined) {
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}
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else { // I use this section to debug in standalone mode.
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let argument
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argument = ' {"type":"Task","name":"Generates Bollinger Channels & Sub-Channels","bot":{"type":"Indicator Bot Instance","name":"Paula","code":{"team":"AAMasters","bot":"AAPaula","repo":"AAPaula-Indicator-Bot"},"processes":[{"type":"Process Instance","subType":"Indicator Process Instance","name":"Market","code":{"process":"Multi-Period-Market"},"id":"6ddd81e2-d6db-4814-9c6c-96538a74824c","referenceParent":{"type":"Process Definition","name":"Multi-Period-Market","code":{"codeName":"Multi-Period-Market","description":"Produces for each market two files with bollinger channels respectively.","startMode":{"allMonths":{"run":"false","minYear":"","maxYear":""},"oneMonth":{"run":"false","year":"","month":""},"noTime":{"run":"true"},"fixedInterval":{"run":"false","interval":0}},"deadWaitTime":0,"normalWaitTime":0,"retryWaitTime":10000,"sleepWaitTime":3600000,"comaWaitTime":86400000,"framework":{"name":"Multi-Period-Market","startDate":{},"endDate":{}}},"id":"28be432d-80ca-46b3-859a-55541e24b2b4","processOutput":{"type":"Process Output","name":"New Process Output","outputDatasets":[{"type":"Output Dataset","name":"Bollinger Channels","id":"d804e799-7c12-42f5-8de2-52a3a7d5daa4","referenceParent":{"type":"Dataset Definition","name":"Market","code":{"codeName":"Multi-Period-Market","type":"Market Files","validPeriods":["24-hs","12-hs","08-hs","06-hs","04-hs","03-hs","02-hs","01-hs"],"filePath":"AAMasters/AAPaula.1.0/AACloud.1.1/@Exchange/dataSet.V1/Output/Bollinger-Channels/Multi-Period-Market/@Period","fileName":"@AssetA_@AssetB.json"},"parentNode":{"type":"Product Definition","name":"Bollinger Channels","code":{"codeName":"Bollinger-Channels","displayName":"Bollinger-Channels","description":"Two sets of files per period that contains Bollinger-Bands-Channels-Patterns.","shareWith":"Public"},"datasets":[],"record":{"type":"Record Definition","name":"New Record Definition","properties":[{"type":"Record Property","name":"Begin","code":{"codeName":"begin","isNumeric":true},"formula":{"type":"Formula","code":"// Write your formula here","id":"caf8122c-3a07-4263-a56f-ffb05df281d6"},"id":"06edb099-ff64-4528-b8c6-599154bc2ddf"},{"type":"Record Property","name":"End","code":{"codeName":"end","isNumeric":true},"formula":{"type":"Formula","code":"// Write your formula here","id":"c8ec0868-8413-468c-88d5-3e43169395e0"},"id":"94656d1f-508a-4e94-a8d2-013690aac596"},{"type":"Record Property","name":"Direction","code":{"codeName":"direction","isNumeric":false},"formula":{"type":"Formula","code":"// Write your formula here","id":"e913afe9-b610-4777-bc9e-6349d436a90a"},"id":"edc0f697-f5e2-446f-bae8-8db7adf91d23"},{"type":"Record Property","name":"Period","code":{"codeName":"period","isNumeric":true},"formula":{"type":"Formula","code":"// Write your formula here","id":"83fce657-a0bb-41ee-80d1-9e2ab980c472"},"id":"eb733f85-6cf5-485e-9bd3-2bf78733c492"},{"type":"Record Property","name":"First Moving Average","code":{"codeName":"firstMovingAverage","isNumeric":true},"formula":{"type":"Formula","code":"// Write your formula here","id":"52490460-35e3-469a-824f-5b139571d4a0"},"id":"a67a15ee-6f7f-48bd-9d55-82c57efc993b"},{"type":"Record Property","name":"Last Moving Average","code":{"codeName":"lastMovingAverage","isNumeric":true},"formula":{"type":"Formula","code":"// Write your formula here","id":"41edc1ef-293a-4ceb-bf67-8042e8fdc4eb"},"id":"0f05bffe-d668-4d25-ab67-d55a4a7c8f5d"},{"type":"Record Property","name":"First Deviation","code":{"codeName":"firstDeviation","isNumeric":true},"formula":{"type":"Formula","code":"// Write your formula here","id":"5af02103-9bc9-4e6c-9684-5a612adfa495"},"id":"eae84509-b689-4a76-9277-eed72af491dd"},{"type":"Record Property","name":"Last Deviation","code":{"codeName":"lastDeviation","isNumeric":true},"formula":{"type":"Formula","code":"// Write your formula here","id":"bc82d292-e71a-4367-9b07-a0e3982ad60d"},"id":"d5c32d1f-9e3c-48e8-8025-a17d57c0812e"}],"id":"6c3e68b0-b781-4c53-9ff7-67c3f747ac8a"},"parentNode":{"type":"Indicator Bot","name":"Paula","code":{"codeName":"AAPaula"},"processes":[],"products":[],"parentNode":{"type":"Team","name":"Masters","code":{"codeName":"AAMasters"},"sensorBots":[],"indicatorBots":[],"tradingBots":[],"plotters":[],"id":"35be7b1c-a0f7-4b5f-9ee1-8fb51595e959"},"id":"bd0f325d-6f98-468b-8b7b-99a42a175d80"},"id":"1f111f72-624f-4166-9f99-ab8d785d5267"},"id":"610cd062-ab88-4892-b711-0fb430305c61"}},{"type":"Output Dataset","name":"Bollinger Standard Channels","id":"e524685d-8da0-41f6-839d-9a4100e6e3fe","referenceParent":{"type":"Dataset Definition","name":"Market","code":{"codeName":"Multi-Period-Market","type":"Market Files","validPeriods":["24-hs","12-hs","08-hs","06-hs","04-hs","03-hs","02-hs","01-hs"],"filePath":"AAMasters/AAPaula.1.0/AACloud.1.1/@Exchange/dataSet.V1/Output/Bollinger-Standard-Channels/Multi-Period-Market/@Period","fileName":"@AssetA_@AssetB.json"},"parentNode":{"type":"Product Definition","name":"Bollinger Standard Channels","code":{"codeName":"Bollinger-SLine truncated
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try {
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global.TASK_NODE = JSON.parse(argument)
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} catch (err) {
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console.log(err.stack)
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}
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global.TASK_NODE = { "type": "Task", "name": "Generates Bollinger Channels & Sub-Channels", "bot": { "type": "Indicator Bot Instance", "name": "Paula", "code": { "team": "AAMasters", "bot": "AAPaula", "repo": "AAPaula-Indicator-Bot" }, "processes": [{ "type": "Process Instance", "subType": "Indicator Process Instance", "name": "Market", "code": { "process": "Multi-Period-Market" }, "id": "6ddd81e2-d6db-4814-9c6c-96538a74824c", "referenceParent": { "type": "Process Definition", "name": "Multi-Period-Market", "code": { "codeName": "Multi-Period-Market", "description": "Produces for each market two files with bollinger channels respectively.", "startMode": { "allMonths": { "run": "false", "minYear": "", "maxYear": "" }, "oneMonth": { "run": "false", "year": "", "month": "" }, "noTime": { "run": "true" }, "fixedInterval": { "run": "false", "interval": 0 } }, "deadWaitTime": 0, "normalWaitTime": 0, "retryWaitTime": 10000, "sleepWaitTime": 3600000, "comaWaitTime": 86400000, "framework": { "name": "Multi-Period-Market", "startDate": {}, "endDate": {} } }, "id": "28be432d-80ca-46b3-859a-55541e24b2b4", "processOutput": { "type": "Process Output", "name": "New Process Output", "outputDatasets": [{ "type": "Output Dataset", "name": "Bollinger Channels", "id": "d804e799-7c12-42f5-8de2-52a3a7d5daa4", "referenceParent": { "type": "Dataset Definition", "name": "Market", "code": { "codeName": "Multi-Period-Market", "type": "Market Files", "validPeriods": ["24-hs", "12-hs", "08-hs", "06-hs", "04-hs", "03-hs", "02-hs", "01-hs"], "filePath": "AAMasters/AAPaula.1.0/AACloud.1.1/@Exchange/dataSet.V1/Output/Bollinger-Channels/Multi-Period-Market/@Period", "fileName": "@AssetA_@AssetB.json" }, "parentNode": { "type": "Product Definition", "name": "Bollinger Channels", "code": { "codeName": "Bollinger-Channels", "displayName": "Bollinger-Channels", "description": "Two sets of files per period that contains Bollinger-Bands-Channels-Patterns.", "shareWith": "Public" }, "datasets": [], "record": { "type": "Record Definition", "name": "New Record Definition", "properties": [{ "type": "Record Property", "name": "Begin", "code": { "codeName": "begin", "isNumeric": true }, "formula": { "type": "Formula", "code": "// Write your formula here", "id": "caf8122c-3a07-4263-a56f-ffb05df281d6" }, "id": "06edb099-ff64-4528-b8c6-599154bc2ddf" }, { "type": "Record Property", "name": "End", "code": { "codeName": "end", "isNumeric": true }, "formula": { "type": "Formula", "code": "// Write your formula here", "id": "c8ec0868-8413-468c-88d5-3e43169395e0" }, "id": "94656d1f-508a-4e94-a8d2-013690aac596" }, { "type": "Record Property", "name": "Direction", "code": { "codeName": "direction", "isNumeric": false }, "formula": { "type": "Formula", "code": "// Write your formula here", "id": "e913afe9-b610-4777-bc9e-6349d436a90a" }, "id": "edc0f697-f5e2-446f-bae8-8db7adf91d23" }, { "type": "Record Property", "name": "Period", "code": { "codeName": "period", "isNumeric": true }, "formula": { "type": "Formula", "code": "// Write your formula here", "id": "83fce657-a0bb-41ee-80d1-9e2ab980c472" }, "id": "eb733f85-6cf5-485e-9bd3-2bf78733c492" }, { "type": "Record Property", "name": "First Moving Average", "code": { "codeName": "firstMovingAverage", "isNumeric": true }, "formula": { "type": "Formula", "code": "// Write your formula here", "id": "52490460-35e3-469a-824f-5b139571d4a0" }, "id": "a67a15ee-6f7f-48bd-9d55-82c57efc993b" }, { "type": "Record Property", "name": "Last Moving Average", "code": { "codeName": "lastMovingAverage", "isNumeric": true }, "formula": { "type": "Formula", "code": "// Write your formula here", "id": "41edc1ef-293a-4ceb-bf67-8042e8fdc4eb" }, "id": "0f05bffe-d668-4d25-ab67-d55a4a7c8f5d" }, { "type": "Record Property", "name": "First Deviation", "code": { "codeName": "firstDeviation", "isNumeric": true }, "formula": { "type": "Formula", "code": "// Write your formula here", "id": "5af02103-9bc9-4e6c-9684-5a612adfa495" }, "id": "eae84509-b689-4a76-9277-eed72af491dd" }, { "type": "Record Property", "name": "Last Deviation", "code": { "codeName": "lastDeviation", "isNumeric": true }, "formula": { "type": "Formula", "code": "// Write your formula here", "id": "bc82d292-e71a-4367-9b07-a0e3982ad60d" }, "id": "d5c32d1f-9e3c-48e8-8025-a17d57c0812e" }], "id": "6c3e68b0-b781-4c53-9ff7-67c3f747ac8a" }, "parentNode": { "type": "Indicator Bot", "name": "Paula", "code": { "codeName": "AAPaula" }, "processes": [], "products": [], "parentNode": { "type": "Team", "name": "Masters", "code": { "codeName": "AAMasters" }, "sensorBots": [], "indicatorBots": [], "tradingBots": [], "plotters": [], "id": "35be7b1c-a0f7-4b5f-9ee1-8fb51595e959" }, "id": "bd0f325d-6f98-468b-8b7b-99a42a175d80" }, "id": "1f111f72-624f-4166-9f99-ab8d785d5267" }, "id": "610cd062-ab88-4892-b711-0fb430305c61" } }, { "type": "Output Dataset", "name": "Bollinger Standard Channels", "id": "e524685d-8da0-41f6-839d-9a4100e6e3fe", "referenceParent": { "type": "Dataset Definition", "name": "Line truncated
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}
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require('dotenv').config();
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