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/**
* 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 ta4jexamples;
import eu.verdelhan.ta4j.AnalysisCriterion;
import eu.verdelhan.ta4j.BaseStrategy;
import eu.verdelhan.ta4j.Decimal;
import eu.verdelhan.ta4j.Rule;
import eu.verdelhan.ta4j.TimeSeries;
import eu.verdelhan.ta4j.TimeSeriesManager;
import eu.verdelhan.ta4j.TradingRecord;
import eu.verdelhan.ta4j.analysis.CashFlow;
import eu.verdelhan.ta4j.analysis.criteria.AverageProfitableTradesCriterion;
import eu.verdelhan.ta4j.analysis.criteria.RewardRiskRatioCriterion;
import eu.verdelhan.ta4j.analysis.criteria.TotalProfitCriterion;
import eu.verdelhan.ta4j.analysis.criteria.VersusBuyAndHoldCriterion;
import eu.verdelhan.ta4j.indicators.helpers.ClosePriceIndicator;
import eu.verdelhan.ta4j.indicators.SMAIndicator;
import eu.verdelhan.ta4j.trading.rules.CrossedDownIndicatorRule;
import eu.verdelhan.ta4j.trading.rules.CrossedUpIndicatorRule;
import eu.verdelhan.ta4j.trading.rules.StopGainRule;
import eu.verdelhan.ta4j.trading.rules.StopLossRule;
import ta4jexamples.loaders.CsvTradesLoader;
/**
* Quickstart for ta4j.
*
* Global example.
*/
public class Quickstart {
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 ticks
Decimal firstClosePrice = series.getTick(0).getClosePrice();
System.out.println("First close price: " + firstClosePrice.toDouble());
// Or within an indicator:
ClosePriceIndicator closePrice = new ClosePriceIndicator(series);
// Here is the same close price:
System.out.println(firstClosePrice.isEqual(closePrice.getValue(0))); // equal to firstClosePrice
// Getting the simple moving average (SMA) of the close price over the last 5 ticks
SMAIndicator shortSma = new SMAIndicator(closePrice, 5);
// Here is the 5-ticks-SMA value at the 42nd index
System.out.println("5-ticks-SMA value at the 42nd index: " + shortSma.getValue(42).toDouble());
// Getting a longer SMA (e.g. over the 30 last ticks)
SMAIndicator longSma = new SMAIndicator(closePrice, 30);
// Ok, now let's building our trading rules!
// Buying rules
// We want to buy:
// - if the 5-ticks SMA crosses over 30-ticks 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-ticks SMA crosses under 30-ticks 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!
}
}