1036 lines
41 KiB
JavaScript
1036 lines
41 KiB
JavaScript
exports.newCommons = function newCommons(bot, logger, UTILITIES) {
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const FULL_LOG = true;
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const LOG_FILE_CONTENT = false;
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const MODULE_NAME = "Commons";
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const GMT_SECONDS = ':00.000 GMT+0000';
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let thisObject = {
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initializeStorage: initializeStorage,
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runSimulation: runSimulation
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};
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let utilities = UTILITIES.newCloudUtilities(bot, logger);
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return thisObject;
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function initializeStorage(chrisStorage, jasonStorage, oliviaStorage, gaussStorage, callBackFunction) {
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try {
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if (FULL_LOG === true) { logger.write(MODULE_NAME, "[INFO] initializeStorage -> Entering function."); }
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initializetomStorage();
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function initializetomStorage() {
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jasonStorage.initialize(bot.devTeam, onBruceInizialized);
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function onBruceInizialized(err) {
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if (err.result === global.DEFAULT_OK_RESPONSE.result) {
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initializeChrisStorage();
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} else {
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logger.write(MODULE_NAME, "[ERROR] initializeStorage -> initializetomStorage -> onBruceInizialized -> err = " + err.message);
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callBackFunction(err);
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}
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}
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}
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function initializeChrisStorage() {
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chrisStorage.initialize(bot.devTeam, onChrisInizialized);
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function onChrisInizialized(err) {
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if (err.result === global.DEFAULT_OK_RESPONSE.result) {
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initializeGaussStorage();
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} else {
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logger.write(MODULE_NAME, "[ERROR] initializeStorage -> initializeChrisStorage -> onChrisInizialized -> err = " + err.message);
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callBackFunction(err);
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}
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}
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}
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function initializeGaussStorage() {
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gaussStorage.initialize("AAVikings", onGaussInizialized);
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function onGaussInizialized(err) {
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if (err.result === global.DEFAULT_OK_RESPONSE.result) {
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initializeOliviaStorage();
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} else {
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logger.write(MODULE_NAME, "[ERROR] initializeStorage -> initializeGaussStorage -> onChrisInizialized -> err = " + err.message);
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callBackFunction(err);
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}
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}
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}
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function initializeOliviaStorage() {
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oliviaStorage.initialize(bot.devTeam, onOliviaInizialized);
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function onOliviaInizialized(err) {
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if (err.result === global.DEFAULT_OK_RESPONSE.result) {
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callBackFunction(global.DEFAULT_OK_RESPONSE);
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} else {
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logger.write(MODULE_NAME, "[ERROR] initializeStorage -> initializeChrisStorage -> onChrisInizialized -> err = " + err.message);
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callBackFunction(err);
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}
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}
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}
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}
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catch (err) {
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logger.write(MODULE_NAME, "[ERROR] initializeStorage -> err = " + err.message);
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callBackFunction(global.DEFAULT_FAIL_RESPONSE);
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}
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}
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function runSimulation(
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candles,
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bollingerBandsMap,
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percentageBandwidthMap,
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LRCMap,
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bollingerChannelsArray,
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bollingerSubChannelsArray,
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recordsArray,
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conditionsArray,
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simulationLogic,
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outputPeriod,
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callback) {
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try {
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if (FULL_LOG === true) { logger.write(MODULE_NAME, "[INFO] runSimulation -> Entering function."); }
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/* Initial Values */
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let initialDate = new Date("2018-08-01");
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let initialBalanceA = 1;
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let minimunBalanceA = 0.5;
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/* Strategy and Phases */
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let strategyNumber = 0;
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let strategyPhase = 0; // So far we will consider 5 possible phases: 0 = Initial state, 1 = Signal to buy, 2 = Buy, 3 = After Buy, 4 = Sell.
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/* Stop Loss Management */
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let stopLossPercentage = 1.5;
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let previousStopLoss = 0;
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let stopLoss = 0;
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let stopLossDecay = 0;
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let stopLossDecayIncrement = 0.06;
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let stopLossPhase = 0;
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/* Buy Order Management */
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let buyOrderPercentage = 1;
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let previousBuyOrder = 0;
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let buyOrder = 0;
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let buyOrderDecay = 0;
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let buyOrderPhase = 0;
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/* Building records */
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let record;
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let balanceAssetA = initialBalanceA;
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let balanceAssetB = 0;
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let profit = 0;
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let lastProfit = 0;
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let lastProfitPercent = 0;
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let sellRate = 0;
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let previousBalanceAssetA = 0;
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let roundtrips = 0;
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let hits = 0;
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let fails = 0;
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let hitRatio = 0;
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let ROI = 0;
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let periods = 0;
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let days = 0;
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let anualizedRateOfReturn = 0;
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let type = '""';
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let rate = 0;
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let newStopLoss;
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let initialBuffer = 3;
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simulationLogic.strategies = [
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{
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name: "Trend Following",
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entryPoint: {
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situations: [
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{
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name: "Price Collapsing",
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conditions: [
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{
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name: "%B Moving Average going up",
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code: "percentageBandwidth.previous.direction === 'down' && percentageBandwidth.direction === 'down'"
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},
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{
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name: "%B Bandwidth going up",
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code: "percentageBandwidth.previous.previous.bandwidth < percentageBandwidth.previous.bandwidth && percentageBandwidth.previous.bandwidth < percentageBandwidth.bandwidth"
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},
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{
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name: "Candles Min going down",
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code: "candle.previous.previous.min > candle.previous.min && candle.previous.min > candle.min"
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}
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]
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}
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]
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},
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exitPoint: {
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situations: [
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{
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name: "Market Reversing",
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conditions: [
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{
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name: "Close above Band Moving Average",
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code: "candle.close > bollingerBand.movingAverage"
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}
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]
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}
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]
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},
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sellPoint: {
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situations: [
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{
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name: "Min below lower bollingerBand.",
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conditions: [
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{
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name: "3 Candles MIN below Lower Band",
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code: "candle.previous.previous.min < bollingerBand.previous.previous.movingAverage - bollingerBand.previous.previous.deviation && candle.previous.min < bollingerBand.previous.movingAverage - bollingerBand.previous.deviation && candle.min < bollingerBand.movingAverage - bollingerBand.deviation"
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}
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]
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}
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]
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},
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stopLoss: {
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phases: [
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{
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name: "Following Sell Rate",
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code: "newStopLoss = sellRate + sellRate * (stopLossPercentage - stopLossDecay) / 100",
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situations: [
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{
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name: "Candle below Moving Average",
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conditions: [
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{
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name: "Candle fully below Band Moving Average",
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code: "candle.max < bollingerBand.movingAverage"
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},
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{
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name: "Band Moving Average going down",
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code: "bollingerBand.direction === 'down'"
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}
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]
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}
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]
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},
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{
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name: "Above Bands Moving Average",
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code: "newStopLoss = bollingerBand.movingAverage + bollingerBand.movingAverage * (stopLossPercentage - stopLossDecay) / 100",
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situations: [
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{
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name: "Candle below Moving Average",
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conditions: [
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{
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name: "Candle MAX below lower band",
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code: "candle.max < bollingerBand.movingAverage - bollingerBand.deviation"
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}
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]
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}
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]
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},
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{
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name: "At Bands Moving Average",
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code: "newStopLoss = bollingerBand.movingAverage",
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situations: [
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]
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}
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]
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},
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buyOrder: {
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phases: [
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{
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name: "12 times standard deviation",
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code: "buyOrder = bollingerBand.movingAverage - bollingerBand.standardDeviation * 12",
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situations: [
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{
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name: "Candle cut by lower band",
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conditions: [
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{
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name: "Max above lower band",
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code: "candle.max > bollingerBand.movingAverage - bollingerBand.deviation"
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},
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{
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name: "MIN below lower band",
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code: "candle.min < bollingerBand.movingAverage - bollingerBand.deviation"
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},
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{
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name: "Band Moving Average going down",
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code: "bollingerBand.previous.movingAverage > bollingerBand.movingAverage"
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}
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]
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}
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]
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},
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{
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name: "10 times standard deviation",
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code: "buyOrder = bollingerBand.movingAverage - bollingerBand.standardDeviation * 10",
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situations: [
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{
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name: "%B starting to revert",
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conditions: [
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{
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name: "%B Moving Average going up",
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code: "percentageBandwidth.direction === 'up'"
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},
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{
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name: "%B Moving Average above 0",
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code: "percentageBandwidth.movingAverage > 0"
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}
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]
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}
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]
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},
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{
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name: "4 times standard deviation",
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code: "buyOrder = bollingerBand.movingAverage - bollingerBand.standardDeviation * 4",
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situations: [
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{
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name: "%B going down again",
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conditions: [
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{
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name: "%B Moving Average going down",
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code: "percentageBandwidth.direction === 'down'"
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}
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]
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}
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]
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},
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{
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name: "3 times standard deviation",
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code: "buyOrder = bollingerBand.movingAverage - bollingerBand.standardDeviation * 3",
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situations: [
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{
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name: "%B going up and above 30",
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conditions: [
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{
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name: "%B Moving Average going up",
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code: "percentageBandwidth.direction === 'up'"
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},
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{
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name: "%B Moving Average above 30",
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code: "percentageBandwidth.movingAverage > 30"
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}
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]
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}
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]
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},
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{
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name: "At lower band",
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code: "buyOrder = bollingerBand.movingAverage - bollingerBand.standardDeviation * 2",
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situations: [
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]
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}
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]
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}
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},
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{
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name: "Range Trading",
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entryPoint: {
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situations: [
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{
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name: "Gentle Up Trend",
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conditions: [
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{
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name: "Sub-Channel going up",
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code: "subChannel.direction === 'up'"
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},
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{
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name: "Sub-Channel Side|Gentle|Medium",
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code: "subChannel.slope === 'Side' || subChannel.slope === 'Gentle' || subChannel.slope === 'Medium'"
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},
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{
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name: "Candle Close above Lower Band",
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code: "candle.close > bollingerBand.movingAverage + bollingerBand.deviation"
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},
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{
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name: "Impossible",
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code: " 1 === 2"
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}
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]
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}
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]
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},
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exitPoint: {
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situations: [
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{
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name: "Outside Sub-Channel",
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conditions: [
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{
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name: "Going down or too Steep",
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code: "subChannel.direction === 'Down' || subChannel.slope === 'Steep' || subChannel.slope === 'Extreme'"
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}
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]
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}
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]
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},
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sellPoint: {
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situations: [
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{
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name: "Min below lower bollingerBand.",
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conditions: [
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{
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name: "%B Moving Average going down",
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code: "percentageBandwidth.previous.movingAverage > percentageBandwidth.movingAverage"
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},
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{
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name: "%B Moving Average above 90",
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code: "percentageBandwidth.previous.movingAverage > 90"
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}
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]
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}
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]
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},
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stopLoss: {
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phases: [
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{
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name: "Following Sell Rate",
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code: "newStopLoss = sellRate + sellRate * (stopLossPercentage - stopLossDecay) / 100",
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situations: [
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]
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}
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]
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},
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buyOrder: {
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phases: [
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{
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name: "Between Band Moving Average and Lower Band",
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code: "buyOrder = bollingerBand.movingAverage - bollingerBand.standardDeviation",
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situations: [
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]
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}
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]
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}
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}
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,
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{
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name: "LRC Strategy",
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entryPoint: {
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situations: [
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{
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name: "Lines in the right order",
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conditions: [
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{
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name: "60 > 30",
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code: "LRC._60 > LRC._30"
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},
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{
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name: "30 > 15",
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code: "LRC._30 > LRC._15"
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},
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{
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name: "Impossible",
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code: " 1 === 2"
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}
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]
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}
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]
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},
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exitPoint: {
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situations: [
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{
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name: "Lines out of order",
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conditions: [
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{
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name: "60 < 30 or 30 < 15",
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code: "LRC._60 < LRC._30 || LRC._30 < LRC._15 "
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}
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]
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}
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]
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},
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sellPoint: {
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situations: [
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{
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name: "All lines going down",
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conditions: [
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{
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name: "60 going down",
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code: "LRC.direction60 === 'down'"
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},
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{
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name: "30 going down",
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code: "LRC.direction30 === 'down'"
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},
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{
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name: "15 going down",
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code: "LRC.direction15 === 'down'"
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}
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]
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}
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]
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},
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stopLoss: {
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phases: [
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{
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name: "Following Sell Rate",
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code: "newStopLoss = sellRate + sellRate * (stopLossPercentage - stopLossDecay) / 100",
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situations: [
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{
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name: "Stop Loss < 60",
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conditions: [
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{
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name: "Stop Loss < 60",
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code: "stopLoss < LRC._60"
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}
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]
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}
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]
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},
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{
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name: "Following 60",
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code: "newStopLoss = LRC._60",
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situations: [
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]
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}
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]
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},
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buyOrder: {
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phases: [
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{
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name: "Between Band Moving Average and Lower Band",
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code: "buyOrder = bollingerBand.movingAverage - bollingerBand.standardDeviation * 4",
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situations: [
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]
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}
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]
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}
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}
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];
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|
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/* Main Simulation Loop: We go thourgh all the candles at this time period. */
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for (let i = 0 + initialBuffer; i < candles.length; i++) {
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/* Update all the data objects available for the simulation. */
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let candle = candles[i];
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let percentageBandwidth = percentageBandwidthMap.get(candle.begin);
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let bollingerBand = bollingerBandsMap.get(candle.begin);
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let LRC = LRCMap.get(candle.begin);
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if (LRC === undefined) { continue; }
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if (percentageBandwidth === undefined) { continue; } // percentageBandwidth might start after the first few candles.
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if (candle.begin < initialDate.valueOf()) { continue; }
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periods++;
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let subChannel = getElement(bollingerSubChannelsArray, candle.begin, candle.end);
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let conditions = new Map; // Here we store the conditions values that will be use in the simulator for decision making.
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let conditionsArrayRecord = []; // These are the records that will be saved in a file for the plotter to consume.
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let conditionsArrayValues = []; // Here we store the conditions values that will be written on file for the plotter.
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/* We define and evaluate all conditions to be used later during the simulation loop. */
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conditionsArrayRecord.push(candle.begin);
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conditionsArrayRecord.push(candle.end);
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for (let j = 0; j < simulationLogic.strategies.length; j++) {
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let strategy = simulationLogic.strategies[j];
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for (let k = 0; k < strategy.entryPoint.situations.length; k++) {
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let situation = strategy.entryPoint.situations[k];
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for (let m = 0; m < situation.conditions.length; m++) {
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let condition = situation.conditions[m];
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let key = strategy.name + '-' + situation.name + '-' + condition.name;
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newCondition(key, condition.code);
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}
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}
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for (let k = 0; k < strategy.exitPoint.situations.length; k++) {
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let situation = strategy.exitPoint.situations[k];
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for (let m = 0; m < situation.conditions.length; m++) {
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let condition = situation.conditions[m];
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let key = strategy.name + '-' + situation.name + '-' + condition.name;
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newCondition(key, condition.code);
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}
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}
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for (let k = 0; k < strategy.sellPoint.situations.length; k++) {
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let situation = strategy.sellPoint.situations[k];
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for (let m = 0; m < situation.conditions.length; m++) {
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let condition = situation.conditions[m];
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let key = strategy.name + '-' + situation.name + '-' + condition.name;
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newCondition(key, condition.code);
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}
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}
|
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|
|
for (let p = 0; p < strategy.stopLoss.phases.length; p++) {
|
|
|
|
let phase = strategy.stopLoss.phases[p];
|
|
|
|
for (let k = 0; k < phase.situations.length; k++) {
|
|
|
|
let situation = phase.situations[k];
|
|
|
|
for (let m = 0; m < situation.conditions.length; m++) {
|
|
|
|
let condition = situation.conditions[m];
|
|
let key = strategy.name + '-' + phase.name + '-' + situation.name + '-' + condition.name;
|
|
|
|
newCondition(key, condition.code);
|
|
}
|
|
}
|
|
}
|
|
|
|
for (let p = 0; p < strategy.buyOrder.phases.length; p++) {
|
|
|
|
let phase = strategy.buyOrder.phases[p];
|
|
|
|
for (let k = 0; k < phase.situations.length; k++) {
|
|
|
|
let situation = phase.situations[k];
|
|
|
|
for (let m = 0; m < situation.conditions.length; m++) {
|
|
|
|
let condition = situation.conditions[m];
|
|
let key = strategy.name + '-' + phase.name + '-' + situation.name + '-' + condition.name;
|
|
|
|
newCondition(key, condition.code);
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
function newCondition(key, code) {
|
|
|
|
let condition;
|
|
|
|
condition = {
|
|
key: key,
|
|
value: eval(code)
|
|
};
|
|
|
|
conditions.set(condition.key, condition);
|
|
|
|
if (condition.value) {
|
|
conditionsArrayValues.push(1);
|
|
} else {
|
|
conditionsArrayValues.push(0);
|
|
}
|
|
}
|
|
|
|
/* While we are outside all strategies, we evaluate whether it is time to enter one or not. */
|
|
|
|
if (strategyNumber === 0 &&
|
|
balanceAssetA > minimunBalanceA) {
|
|
|
|
/*
|
|
Here we need to pick a strategy, or if there is not suitable strategy for the current
|
|
market conditions, we pass until the next period.
|
|
|
|
To pick a new strategy we will evaluate what we call an entering condition. Once we enter
|
|
into one strategy, we will ignore market conditions for others. However there is also
|
|
a strategy exit condition which can be hit before entering into a trade. If hit, we would
|
|
be outside a strategy again and looking for the condition to enter all over again.
|
|
|
|
*/
|
|
|
|
checkEntryPoints();
|
|
|
|
function checkEntryPoints() {
|
|
|
|
for (let j = 0; j < simulationLogic.strategies.length; j++) {
|
|
|
|
let strategy = simulationLogic.strategies[j];
|
|
|
|
for (let k = 0; k < strategy.entryPoint.situations.length; k++) {
|
|
|
|
let situation = strategy.entryPoint.situations[k];
|
|
let passed = true;
|
|
|
|
for (let m = 0; m < situation.conditions.length; m++) {
|
|
|
|
let condition = situation.conditions[m];
|
|
let key = strategy.name + '-' + situation.name + '-' + condition.name
|
|
|
|
let value = conditions.get(key).value;
|
|
|
|
if (value === false) { passed = false; }
|
|
}
|
|
|
|
if (passed) {
|
|
|
|
strategyPhase = 1;
|
|
strategyNumber = j + 1;
|
|
|
|
return;
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
/* Strategy Exit Condition */
|
|
|
|
if (strategyPhase === 1) {
|
|
|
|
checkExitPoints();
|
|
|
|
function checkExitPoints() {
|
|
|
|
let strategy = simulationLogic.strategies[strategyNumber - 1];
|
|
|
|
for (let k = 0; k < strategy.exitPoint.situations.length; k++) {
|
|
|
|
let situation = strategy.exitPoint.situations[k];
|
|
let passed = true;
|
|
|
|
for (let m = 0; m < situation.conditions.length; m++) {
|
|
|
|
let condition = situation.conditions[m];
|
|
let key = strategy.name + '-' + situation.name + '-' + condition.name
|
|
|
|
let value = conditions.get(key).value;
|
|
|
|
if (value === false) { passed = false; }
|
|
}
|
|
|
|
if (passed) {
|
|
|
|
strategyPhase = 0;
|
|
strategyNumber = 0;
|
|
|
|
return;
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
if (strategyPhase === 3) {
|
|
|
|
/* Checking what happened since the last execution. We need to know if the Stop Loss
|
|
or our Buy Order were hit. */
|
|
|
|
/* Stop Loss condition: Here we verify if the Stop Loss was hitted or not. */
|
|
|
|
if (candle.max >= stopLoss) {
|
|
|
|
balanceAssetA = balanceAssetB / stopLoss;
|
|
|
|
balanceAssetB = 0;
|
|
rate = stopLoss;
|
|
type = '"Buy@StopLoss"';
|
|
strategyPhase = 4;
|
|
}
|
|
|
|
/* Buy Order condition: Here we verify if the Buy Order was filled or not. */
|
|
|
|
if (candle.min <= buyOrder) {
|
|
|
|
balanceAssetA = balanceAssetB / buyOrder;
|
|
|
|
balanceAssetB = 0;
|
|
rate = buyOrder;
|
|
type = '"Buy@BuyOrder"';
|
|
strategyPhase = 4;
|
|
}
|
|
}
|
|
|
|
/* Strategy Sell Condition */
|
|
|
|
if (strategyPhase === 1) {
|
|
|
|
checkSellPoints();
|
|
|
|
function checkSellPoints() {
|
|
|
|
let strategy = simulationLogic.strategies[strategyNumber - 1];
|
|
|
|
for (let k = 0; k < strategy.sellPoint.situations.length; k++) {
|
|
|
|
let situation = strategy.sellPoint.situations[k];
|
|
let passed = true;
|
|
|
|
for (let m = 0; m < situation.conditions.length; m++) {
|
|
|
|
let condition = situation.conditions[m];
|
|
let key = strategy.name + '-' + situation.name + '-' + condition.name
|
|
|
|
let value = conditions.get(key).value;
|
|
|
|
if (value === false) { passed = false; }
|
|
}
|
|
|
|
if (passed) {
|
|
|
|
type = '"Sell"';
|
|
|
|
strategyPhase = 2;
|
|
stopLossPhase = 1;
|
|
buyOrderPhase = 1;
|
|
|
|
return;
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
/* Stop Loss Management */
|
|
|
|
if (strategyPhase === 3) {
|
|
|
|
checkStopLoss();
|
|
|
|
function checkStopLoss() {
|
|
|
|
let strategy = simulationLogic.strategies[strategyNumber - 1];
|
|
|
|
let phase = strategy.stopLoss.phases[stopLossPhase - 1];
|
|
|
|
eval(phase.code); // Here is where we apply the formula given for the stop loss for this phase.
|
|
|
|
if (newStopLoss < previousStopLoss) {
|
|
stopLoss = newStopLoss;
|
|
} else {
|
|
stopLoss = previousStopLoss;
|
|
}
|
|
|
|
for (let k = 0; k < phase.situations.length; k++) {
|
|
|
|
let situation = phase.situations[k];
|
|
let passed = true;
|
|
|
|
for (let m = 0; m < situation.conditions.length; m++) {
|
|
|
|
let condition = situation.conditions[m];
|
|
let key = strategy.name + '-' + phase.name + '-' + situation.name + '-' + condition.name
|
|
|
|
let value = conditions.get(key).value;
|
|
|
|
if (value === false) { passed = false; }
|
|
}
|
|
|
|
if (passed) {
|
|
|
|
stopLossPhase++;
|
|
|
|
return;
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
/* Buy Order Management */
|
|
|
|
if (strategyPhase === 3) {
|
|
|
|
checkBuyOrder();
|
|
|
|
function checkBuyOrder() {
|
|
|
|
let strategy = simulationLogic.strategies[strategyNumber - 1];
|
|
|
|
let phase = strategy.buyOrder.phases[buyOrderPhase - 1];
|
|
|
|
eval(phase.code); // Here is where we apply the formula given for the buy order at this phase.
|
|
|
|
for (let k = 0; k < phase.situations.length; k++) {
|
|
|
|
let situation = phase.situations[k];
|
|
let passed = true;
|
|
|
|
for (let m = 0; m < situation.conditions.length; m++) {
|
|
|
|
let condition = situation.conditions[m];
|
|
let key = strategy.name + '-' + phase.name + '-' + situation.name + '-' + condition.name
|
|
|
|
let value = conditions.get(key).value;
|
|
|
|
if (value === false) { passed = false; }
|
|
}
|
|
|
|
if (passed) {
|
|
|
|
buyOrderPhase++;
|
|
|
|
return;
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
/* Check if we need to sell. */
|
|
|
|
if (strategyPhase === 2) {
|
|
|
|
previousBalanceAssetA = balanceAssetA;
|
|
lastProfit = 0;
|
|
lastProfitPercent = 0;
|
|
|
|
balanceAssetB = balanceAssetA * candle.close;
|
|
balanceAssetA = 0;
|
|
|
|
rate = candle.close;
|
|
sellRate = rate;
|
|
|
|
stopLoss = sellRate + sellRate * stopLossPercentage / 100;
|
|
|
|
stopLossDecay = 0;
|
|
|
|
addRecord();
|
|
|
|
strategyPhase = 3;
|
|
continue;
|
|
}
|
|
|
|
/* Check if we need to buy. */
|
|
|
|
if (strategyPhase === 4) {
|
|
|
|
roundtrips++;
|
|
lastProfit = balanceAssetA - previousBalanceAssetA;
|
|
|
|
lastProfitPercent = lastProfit / previousBalanceAssetA * 100;
|
|
if (isNaN(lastProfitPercent)) { lastProfitPercent = 0; }
|
|
|
|
profit = profit + lastProfit;
|
|
|
|
ROI = (initialBalanceA + profit) / initialBalanceA - 1;
|
|
//if (isNaN(ROI)) { ROI = 0; }
|
|
|
|
if (lastProfit > 0) {
|
|
hits++;
|
|
} else {
|
|
fails++;
|
|
}
|
|
hitRatio = hits / roundtrips;
|
|
|
|
let miliSecondsPerDay = 24 * 60 * 60 * 1000;
|
|
days = periods * outputPeriod / miliSecondsPerDay;
|
|
anualizedRateOfReturn = ROI / days * 365;
|
|
|
|
addRecord();
|
|
|
|
strategyNumber = 0;
|
|
stopLoss = 0;
|
|
sellRate = 0;
|
|
buyOrder = 0;
|
|
strategyPhase = 0;
|
|
stopLossPhase = 0;
|
|
buyOrderPhase = 0;
|
|
|
|
continue;
|
|
|
|
}
|
|
|
|
/* Not a buy or sell condition */
|
|
|
|
rate = candle.close;
|
|
addRecord();
|
|
|
|
function addRecord() {
|
|
|
|
record = {
|
|
begin: candle.begin,
|
|
end: candle.end,
|
|
type: type,
|
|
rate: rate,
|
|
amount: 1,
|
|
balanceA: balanceAssetA,
|
|
balanceB: balanceAssetB,
|
|
profit: profit,
|
|
lastProfit: lastProfit,
|
|
stopLoss: stopLoss,
|
|
roundtrips: roundtrips,
|
|
hits: hits,
|
|
fails: fails,
|
|
hitRatio: hitRatio,
|
|
ROI: ROI,
|
|
periods: periods,
|
|
days: days,
|
|
anualizedRateOfReturn: anualizedRateOfReturn,
|
|
sellRate: sellRate,
|
|
lastProfitPercent: lastProfitPercent,
|
|
strategy: strategyNumber,
|
|
strategyPhase: strategyPhase,
|
|
buyOrder: buyOrder,
|
|
stopLossPhase: stopLossPhase,
|
|
buyOrderPhase: buyOrderPhase
|
|
}
|
|
|
|
recordsArray.push(record);
|
|
|
|
previousStopLoss = stopLoss;
|
|
|
|
type = '""';
|
|
|
|
conditionsArrayRecord.push(strategyNumber);
|
|
conditionsArrayRecord.push(strategyPhase);
|
|
conditionsArrayRecord.push(stopLossPhase);
|
|
conditionsArrayRecord.push(buyOrderPhase);
|
|
conditionsArrayRecord.push(conditionsArrayValues);
|
|
|
|
conditionsArray.push(conditionsArrayRecord);
|
|
|
|
}
|
|
}
|
|
|
|
callback();
|
|
|
|
function getElement(pArray, begin, end) {
|
|
|
|
let element;
|
|
|
|
for (let i = 0; i < pArray.length; i++) {
|
|
|
|
element = pArray[i];
|
|
|
|
if (begin >= element.begin && end <= element.end) {
|
|
return element
|
|
}
|
|
}
|
|
|
|
element = {
|
|
direction: 'unknown',
|
|
slope: 'unknown'
|
|
};
|
|
return element;
|
|
}
|
|
}
|
|
catch (err) {
|
|
logger.write(MODULE_NAME, "[ERROR] runSimulation -> err = " + err.message);
|
|
callBackFunction(global.DEFAULT_FAIL_RESPONSE);
|
|
}
|
|
}
|
|
}; |