/** * The MIT License (MIT) * * Copyright (c) 2014-2017 Marc de Verdelhan & respective authors (see AUTHORS) * * Permission is hereby granted, free of charge, to any person obtaining a copy of * this software and associated documentation files (the "Software"), to deal in * the Software without restriction, including without limitation the rights to * use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of * the Software, and to permit persons to whom the Software is furnished to do so, * subject to the following conditions: * * The above copyright notice and this permission notice shall be included in all * copies or substantial portions of the Software. * * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS * FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR * COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER * IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN * CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. */ package eu.verdelhan.ta4j.indicators; import eu.verdelhan.ta4j.Decimal; import eu.verdelhan.ta4j.Strategy; import static eu.verdelhan.ta4j.TATestsUtils.assertDecimalEquals; import eu.verdelhan.ta4j.TimeSeries; import eu.verdelhan.ta4j.indicators.simple.ClosePriceIndicator; import eu.verdelhan.ta4j.indicators.simple.ConstantIndicator; import eu.verdelhan.ta4j.indicators.trackers.SMAIndicator; import eu.verdelhan.ta4j.mocks.MockTimeSeries; import eu.verdelhan.ta4j.trading.rules.OverIndicatorRule; import eu.verdelhan.ta4j.trading.rules.UnderIndicatorRule; import java.util.Arrays; import static org.junit.Assert.*; import org.junit.Before; import org.junit.Test; public class CachedIndicatorTest { private TimeSeries series; @Before public void setUp() { series = new MockTimeSeries(1, 2, 3, 4, 3, 4, 5, 4, 3, 3, 4, 3, 2); } @Test public void ifCacheWorks() { SMAIndicator sma = new SMAIndicator(new ClosePriceIndicator(series), 3); Decimal firstTime = sma.getValue(4); Decimal secondTime = sma.getValue(4); assertEquals(firstTime, secondTime); } @Test public void getValueWithNullTimeSeries() { ConstantIndicator<Decimal> constant = new ConstantIndicator<Decimal>(Decimal.TEN); assertEquals(Decimal.TEN, constant.getValue(0)); assertEquals(Decimal.TEN, constant.getValue(100)); assertNull(constant.getTimeSeries()); SMAIndicator sma = new SMAIndicator(constant, 10); assertEquals(Decimal.TEN, sma.getValue(0)); assertEquals(Decimal.TEN, sma.getValue(100)); assertNull(sma.getTimeSeries()); } @Test public void getValueWithCacheLengthIncrease() { double[] data = new double[200]; Arrays.fill(data, 10); SMAIndicator sma = new SMAIndicator(new ClosePriceIndicator(new MockTimeSeries(data)), 100); assertDecimalEquals(sma.getValue(105), 10); } @Test public void getValueWithOldResultsRemoval() { double[] data = new double[20]; Arrays.fill(data, 1); TimeSeries timeSeries = new MockTimeSeries(data); SMAIndicator sma = new SMAIndicator(new ClosePriceIndicator(timeSeries), 10); assertDecimalEquals(sma.getValue(5), 1); assertDecimalEquals(sma.getValue(10), 1); timeSeries.setMaximumTickCount(12); assertDecimalEquals(sma.getValue(19), 1); } @Test public void strategyExecutionOnCachedIndicatorAndLimitedTimeSeries() { TimeSeries timeSeries = new MockTimeSeries(0, 1, 2, 3, 4, 5, 6, 7); SMAIndicator sma = new SMAIndicator(new ClosePriceIndicator(timeSeries), 2); // Theoretical values for SMA(2) cache: 0, 0.5, 1.5, 2.5, 3.5, 4.5, 5.5, 6.5 timeSeries.setMaximumTickCount(6); // Theoretical values for SMA(2) cache: null, null, 2, 2.5, 3.5, 4.5, 5.5, 6.5 Strategy strategy = new Strategy( new OverIndicatorRule(sma, Decimal.THREE), new UnderIndicatorRule(sma, Decimal.THREE) ); // Theoretical shouldEnter results: false, false, false, false, true, true, true, true // Theoretical shouldExit results: false, false, true, true, false, false, false, false // As we return the first tick/result found for the removed ticks: // -> Approximated values for ClosePrice cache: 2, 2, 2, 3, 4, 5, 6, 7 // -> Approximated values for SMA(2) cache: 2, 2, 2, 2.5, 3.5, 4.5, 5.5, 6.5 // Then enters/exits are also approximated: // -> shouldEnter results: false, false, false, false, true, true, true, true // -> shouldExit results: true, true, true, true, false, false, false, false assertFalse(strategy.shouldEnter(0)); assertTrue(strategy.shouldExit(0)); assertFalse(strategy.shouldEnter(1)); assertTrue(strategy.shouldExit(1)); assertFalse(strategy.shouldEnter(2)); assertTrue(strategy.shouldExit(2)); assertFalse(strategy.shouldEnter(3)); assertTrue(strategy.shouldExit(3)); assertTrue(strategy.shouldEnter(4)); assertFalse(strategy.shouldExit(4)); assertTrue(strategy.shouldEnter(5)); assertFalse(strategy.shouldExit(5)); assertTrue(strategy.shouldEnter(6)); assertFalse(strategy.shouldExit(6)); assertTrue(strategy.shouldEnter(7)); assertFalse(strategy.shouldExit(7)); } @Test public void getValueOnResultsCalculatedFromRemovedTicksShouldReturnFirstRemainingResult() { TimeSeries timeSeries = new MockTimeSeries(1, 1, 1, 1, 1); timeSeries.setMaximumTickCount(3); assertEquals(2, timeSeries.getRemovedTicksCount()); SMAIndicator sma = new SMAIndicator(new ClosePriceIndicator(timeSeries), 2); for (int i = 0; i < 5; i++) { assertDecimalEquals(sma.getValue(i), 1); } } }