Panel Improvements
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Luis Fernando Molina committed
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{"type":"Trading Mine","name":"Masters","config":"{ \n\"codeName\": \"Masters\"\n}","project":"Superalgos","tradingBots":[{"type":"Trading Bot","name":"Low Frequency","config":"{\n\"codeName\": \"Low-Frequency\",\n\"repo\": \"Exchange-Raw-Data-Sensor-Bot\"\n}","project":"Superalgos","processes":[{"type":"Process Definition","name":"Trading","config":"{\n \"codeName\": \"Trading\",\n \"sessionRunWaitTime\": 5000,\n \"retryWaitTime\": 10000,\n \"framework\": {\n \"name\": \"Low-Frequency-Trading-Process\"\n }\n }","project":"Superalgos","processOutput":{"type":"Process Output","name":"New Process Output","project":"Superalgos","outputDatasets":[],"outputDatasetFolders":[{"type":"Output Dataset Folder","name":"Trading Engine","project":"Superalgos","outputDatasets":[],"outputDatasetFolders":[{"type":"Output Dataset Folder","name":"Episode","project":"Superalgos","outputDatasets":[{"type":"Output Dataset","name":"Multi-Period-Market Episode Counters","project":"Superalgos","id":"ec8d74ba-a4ad-417a-b479-6bae95b8a1fe","savedPayload":{"position":{"x":24910.97457254189,"y":18457.46644293786},"targetPosition":{"x":24696.86240363471,"y":18061.668541066385},"floatingObject":{"isPinned":false,"isFrozen":false,"isCollapsed":false,"angleToParent":2,"distanceToParent":3,"arrangementStyle":0},"uiObject":{},"referenceParent":{"type":"Dataset Definition","name":"Multi-Period-Market","id":"3ed03a02-381d-43fe-9faa-761728c53bd8"}}},{"type":"Output Dataset","name":"Multi-Period-Daily Episode Counters","project":"Superalgos","id":"22b0af33-8c2f-4194-839b-affd18f298d5","savedPayload":{"position":{"x":24834.601232363748,"y":18490.07023931273},"targetPosition":{"x":24696.86240363471,"y":18061.668541066385},"floatingObject":{"isPinned":false,"isFrozen":false,"isCollapsed":false,"angleToParent":2,"distanceToParent":3,"arrangementStyle":0},"uiObject":{},"referenceParent":{"type":"Dataset Definition","name":"Multi-Period-Daily","id":"15f5b150-f1cf-403c-8cb9-2c7c4e1db8e8"}}},{"type":"Output Dataset","name":"Multi-Period-Market Episode Statistics","project":"Superalgos","id":"23ab91ae-2e78-4993-bb69-855f69cef1ce","savedPayload":{"position":{"x":24753.53736157276,"y":18508.085329665024},"targetPosition":{"x":24696.86240363471,"y":18061.668541066385},"floatingObject":{"isPinned":false,"isFrozen":false,"isCollapsed":false,"angleToParent":2,"distanceToParent":3,"arrangementStyle":0},"uiObject":{},"referenceParent":{"type":"Dataset Definition","name":"Multi-Period-Market","id":"fc9dc0f7-35e0-4548-bb91-f920825d694f"}}},{"type":"Output Dataset","name":"Multi-Period-Daily Episode Statistics","project":"Superalgos","id":"d0a4515a-279d-4c27-8de2-168108861242","savedPayload":{"position":{"x":24670.543493063306,"y":18510.89823169951},"targetPosition":{"x":24696.86240363471,"y":18061.668541066385},"floatingObject":{"isPinned":false,"isFrozen":false,"isCollapsed":false,"angleToParent":2,"distanceToParent":3,"arrangementStyle":0},"uiObject":{},"referenceParent":{"type":"Dataset Definition","name":"Multi-Period-Daily","id":"91953362-8751-4440-a898-21245cd47c15"}}},{"type":"Output Dataset","name":"Multi-Period-Market Episode Candle","project":"Superalgos","id":"7fc80977-5b37-413e-8107-0a89a16e08b0","savedPayload":{"position":{"x":24588.445883487308,"y":18498.413155411115},"targetPosition":{"x":24696.86240363471,"y":18061.668541066385},"floatingObject":{"isPinned":false,"isFrozen":false,"isCollapsed":false,"angleToParent":2,"distanceToParent":3,"arrangementStyle":0},"uiObject":{},"referenceParent":{"type":"Dataset Definition","name":"Multi-Period-Market","id":"17fb41f5-61b5-4433-9a10-950ff8216a7e"}}},{"type":"Output Dataset","name":"Multi-Period-Daily Episode Candle","project":"Superalgos","id":"a6888750-1043-420c-9253-633e1399c5e4","savedPayload":{"position":{"x":24510.040268473647,"y":18471.05526509864},"targetPosition":{"x":24696.86240363471,"y":18061.668541066385},"floatingObject":{"isPinned":false,"isFrozen":false,"isCollapsed":false,"angleToParent":2,"distanceToParent":3,"arrangementStyle":0},"uiObject":{},"referenceParent":{"type":"Dataset Definition","name":"Multi-Period-Daily","id":"bbc9467d-28bf-432b-9e49-582d1bcabfb9"}}},{"type":"Output Dataset","name":"Multi-Period-Market Episode Balances","project":"Superalgos","id":"0ad114df-f076-4a86-8c62-4c4a146da73c","savedPayload":{"position":{"x":24437.996657204443,"y":18429.756200904503},"targetPosition":{"x":24696.86240363471,"y":18061.668541066385},"floatingObject":{"isPinned":false,"isFrozen":false,"isCollapsed":false,"angleToParent":2,"distanceToParent":3,"arrangementStyle":0},"uiObject":{},"referenceParent":{"type":"Dataset Definition","name":"Multi-Period-Market","id":"acddff59-b51b-4b45-b58f-71d4077755ee"}}},{"type":"Output Dataset","name":"Multi-Period-Daily Episode Balances","project":"Superalgos","id":"04b51302-957d-4365-ad55-9f89d60e261c","savedPayload":{"position":{"x":24374.76840845468,"y":18375.922352927064},"targetPosition":{"x":24696.86240363471,"y":18061.6685410663Line truncated
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@@ -178,7 +178,7 @@ function newPlotterPanel() {
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}
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UI.projects.superalgos.utilities.drawPrint.printLabel(labelText, X_AXIS_A, UI_PANEL.HEIGHT.NORMAL * labelPosition / 100 / heightFactor, '0.60', undefined, undefined, 'Right', thisObject.container, thisObject.fitFunction)
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UI.projects.superalgos.utilities.drawPrint.printLabel(value, X_AXIS_B, UI_PANEL.HEIGHT.NORMAL * valuePosition / 100 / heightFactor, opacity, fontSize, paletteColor, 'Right', thisObject.container, thisObject.fitFunction, false, true)
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UI.projects.superalgos.utilities.drawPrint.printLabel(value, X_AXIS_B, UI_PANEL.HEIGHT.NORMAL * valuePosition / 100 / heightFactor, opacity, fontSize, paletteColor, 'Right', thisObject.container, thisObject.fitFunction, false, true, undefined, true)
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}
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}
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}
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@@ -186,16 +186,34 @@ function newSuperalgosUtilitiesDrawPrint() {
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browserCanvasContext.fill()
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}
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function printLabel(labelToPrint, x, y, opacity, fontSize, color, align, container, fitFunction, noDecimals, fixedDecimals, minDecimals) {
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if (labelToPrint === undefined) { return }
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function printLabel(
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labelToPrint,
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x,
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y,
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opacity,
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fontSize,
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color,
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align,
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container,
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fitFunction,
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noDecimals,
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fixedDecimals,
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minDecimals,
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simulateMonospace
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) {
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let isItANumber
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let labelPoint
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let label = labelToPrint
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if (labelToPrint === undefined) { return }
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if (color === undefined) { color = UI_COLOR.DARK }
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if (fontSize === undefined) { fontSize = 10 };
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if (fontSize === undefined) { fontSize = 10 }
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if (isNaN(label) === false && label !== '') { isItANumber = true }
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browserCanvasContext.font = fontSize + 'px ' + UI_FONT.PRIMARY
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let label = labelToPrint
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if (isNaN(label) === false && label !== '') {
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if (isItANumber === true) {
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if (fixedDecimals !== true) {
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label = dynamicDecimals(labelToPrint, minDecimals)
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}
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@@ -234,6 +252,12 @@ function newSuperalgosUtilitiesDrawPrint() {
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}
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}
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}
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if (isItANumber === true && simulateMonospace === true) {
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labelPoint = {
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x: x,
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y: y
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}
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}
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if (container !== undefined) {
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labelPoint = container.frame.frameThisPoint(labelPoint)
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@@ -243,7 +267,47 @@ function newSuperalgosUtilitiesDrawPrint() {
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labelPoint = fitFunction(labelPoint)
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}
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browserCanvasContext.fillStyle = 'rgba(' + color + ', ' + opacity + ')'
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browserCanvasContext.fillText(label, labelPoint.x, labelPoint.y)
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if (isItANumber === true && simulateMonospace === true) {
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let isDecimal = false
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let hasDecimals
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let decimalCounter = 0
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let characterOpacity = opacity
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let insignificantZeroPossible = true
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if (label.indexOf('.') >= 0) {
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hasDecimals = true
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isDecimal = true
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}
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for (let i = 0; i < label.length; i++) {
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let character = label[label.length - 1 - i]
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if (hasDecimals === true && character === '.') {
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isDecimal = false
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}
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if (hasDecimals === true && character === '0' && insignificantZeroPossible === true) {
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characterOpacity = opacity / 4
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} else {
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insignificantZeroPossible = false
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characterOpacity = opacity
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}
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labelPoint.x = labelPoint.x - fontSize * FONT_ASPECT_RATIO * 1.5
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browserCanvasContext.fillStyle = 'rgba(' + color + ', ' + characterOpacity + ')'
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browserCanvasContext.fillText(character, labelPoint.x, labelPoint.y)
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if (isDecimal === true) {
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decimalCounter++
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if (decimalCounter === 5) {
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labelPoint.x = labelPoint.x - fontSize * FONT_ASPECT_RATIO * 1.5 / 2
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}
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}
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}
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}
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else {
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browserCanvasContext.fillStyle = 'rgba(' + color + ', ' + opacity + ')'
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browserCanvasContext.fillText(label, labelPoint.x, labelPoint.y)
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}
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}
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}
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