use of org.ta4j.core.indicators.SMAIndicator in project ta4j by ta4j.
the class BollingerBandWidthIndicatorTest method bollingerBandWidthUsingSMAAndStandardDeviation.
@Test
public void bollingerBandWidthUsingSMAAndStandardDeviation() {
SMAIndicator sma = new SMAIndicator(closePrice, 5);
StandardDeviationIndicator standardDeviation = new StandardDeviationIndicator(closePrice, 5);
BollingerBandsMiddleIndicator bbmSMA = new BollingerBandsMiddleIndicator(sma);
BollingerBandsUpperIndicator bbuSMA = new BollingerBandsUpperIndicator(bbmSMA, standardDeviation);
BollingerBandsLowerIndicator bblSMA = new BollingerBandsLowerIndicator(bbmSMA, standardDeviation);
BollingerBandWidthIndicator bandwidth = new BollingerBandWidthIndicator(bbuSMA, bbmSMA, bblSMA);
assertDecimalEquals(bandwidth.getValue(0), 0.0);
assertDecimalEquals(bandwidth.getValue(1), 36.3636);
assertDecimalEquals(bandwidth.getValue(2), 66.6423);
assertDecimalEquals(bandwidth.getValue(3), 60.2443);
assertDecimalEquals(bandwidth.getValue(4), 71.0767);
assertDecimalEquals(bandwidth.getValue(5), 69.9394);
assertDecimalEquals(bandwidth.getValue(6), 62.7043);
assertDecimalEquals(bandwidth.getValue(7), 56.0178);
assertDecimalEquals(bandwidth.getValue(8), 27.683);
assertDecimalEquals(bandwidth.getValue(9), 12.6491);
assertDecimalEquals(bandwidth.getValue(10), 12.6491);
assertDecimalEquals(bandwidth.getValue(11), 24.2956);
assertDecimalEquals(bandwidth.getValue(12), 68.3332);
assertDecimalEquals(bandwidth.getValue(13), 85.1469);
assertDecimalEquals(bandwidth.getValue(14), 112.8481);
assertDecimalEquals(bandwidth.getValue(15), 108.1682);
assertDecimalEquals(bandwidth.getValue(16), 66.9328);
assertDecimalEquals(bandwidth.getValue(17), 56.5194);
assertDecimalEquals(bandwidth.getValue(18), 28.1091);
assertDecimalEquals(bandwidth.getValue(19), 32.5362);
}
use of org.ta4j.core.indicators.SMAIndicator in project ta4j by ta4j.
the class BollingerBandsLowerIndicatorTest method setUp.
@Before
public void setUp() {
TimeSeries data = new MockTimeSeries(1, 2, 3, 4, 3, 4, 5, 4, 3, 3, 4, 3, 2);
timeFrame = 3;
closePrice = new ClosePriceIndicator(data);
sma = new SMAIndicator(closePrice, timeFrame);
}
use of org.ta4j.core.indicators.SMAIndicator in project ta4j by ta4j.
the class TradingBotOnMovingTimeSeries method buildStrategy.
/**
* @param series a time series
* @return a dummy strategy
*/
private static Strategy buildStrategy(TimeSeries series) {
if (series == null) {
throw new IllegalArgumentException("Series cannot be null");
}
ClosePriceIndicator closePrice = new ClosePriceIndicator(series);
SMAIndicator sma = new SMAIndicator(closePrice, 12);
// Sell when close price goes over SMA
return new BaseStrategy(new OverIndicatorRule(sma, closePrice), new UnderIndicatorRule(sma, closePrice));
}
use of org.ta4j.core.indicators.SMAIndicator in project ta4j by ta4j.
the class Quickstart method main.
public static void main(String[] args) {
// Getting a time series (from any provider: CSV, web service, etc.)
TimeSeries series = CsvTradesLoader.loadBitstampSeries();
// Getting the close price of the bars
Decimal firstClosePrice = series.getBar(0).getClosePrice();
System.out.println("First close price: " + firstClosePrice.doubleValue());
// Or within an indicator:
ClosePriceIndicator closePrice = new ClosePriceIndicator(series);
// Here is the same close price:
// equal to firstClosePrice
System.out.println(firstClosePrice.isEqual(closePrice.getValue(0)));
// Getting the simple moving average (SMA) of the close price over the last 5 bars
SMAIndicator shortSma = new SMAIndicator(closePrice, 5);
// Here is the 5-bars-SMA value at the 42nd index
System.out.println("5-bars-SMA value at the 42nd index: " + shortSma.getValue(42).doubleValue());
// Getting a longer SMA (e.g. over the 30 last bars)
SMAIndicator longSma = new SMAIndicator(closePrice, 30);
// Ok, now let's building our trading rules!
// Buying rules
// We want to buy:
// - if the 5-bars SMA crosses over 30-bars SMA
// - or if the price goes below a defined price (e.g $800.00)
Rule buyingRule = new CrossedUpIndicatorRule(shortSma, longSma).or(new CrossedDownIndicatorRule(closePrice, Decimal.valueOf("800")));
// Selling rules
// We want to sell:
// - if the 5-bars SMA crosses under 30-bars SMA
// - or if if the price looses more than 3%
// - or if the price earns more than 2%
Rule sellingRule = new CrossedDownIndicatorRule(shortSma, longSma).or(new StopLossRule(closePrice, Decimal.valueOf("3"))).or(new StopGainRule(closePrice, Decimal.valueOf("2")));
// Running our juicy trading strategy...
TimeSeriesManager seriesManager = new TimeSeriesManager(series);
TradingRecord tradingRecord = seriesManager.run(new BaseStrategy(buyingRule, sellingRule));
System.out.println("Number of trades for our strategy: " + tradingRecord.getTradeCount());
// Analysis
// Getting the cash flow of the resulting trades
CashFlow cashFlow = new CashFlow(series, tradingRecord);
// Getting the profitable trades ratio
AnalysisCriterion profitTradesRatio = new AverageProfitableTradesCriterion();
System.out.println("Profitable trades ratio: " + profitTradesRatio.calculate(series, tradingRecord));
// Getting the reward-risk ratio
AnalysisCriterion rewardRiskRatio = new RewardRiskRatioCriterion();
System.out.println("Reward-risk ratio: " + rewardRiskRatio.calculate(series, tradingRecord));
// Total profit of our strategy
// vs total profit of a buy-and-hold strategy
AnalysisCriterion vsBuyAndHold = new VersusBuyAndHoldCriterion(new TotalProfitCriterion());
System.out.println("Our profit vs buy-and-hold profit: " + vsBuyAndHold.calculate(series, tradingRecord));
// Your turn!
}
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