Examples with AverageProfitableTradesCriterion org.ta4j.core.analysis.criteria.AverageProfitableTradesCriterion used on opensource projects

Example 1 with AverageProfitableTradesCriterion

use of org.ta4j.core.analysis.criteria.AverageProfitableTradesCriterion 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!
}