goldenChat base source add

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aidev
2026-05-23 15:11:48 +09:00
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/*
* SPDX-License-Identifier: MIT
*/
package ta4jexamples.bots;
import java.time.Duration;
import java.time.Instant;
import org.apache.logging.log4j.LogManager;
import org.apache.logging.log4j.Logger;
import org.ta4j.core.Bar;
import org.ta4j.core.BarSeries;
import org.ta4j.core.BaseStrategy;
import org.ta4j.core.BaseTradingRecord;
import org.ta4j.core.Strategy;
import org.ta4j.core.Trade;
import org.ta4j.core.TradingRecord;
import org.ta4j.core.bars.TimeBarBuilder;
import org.ta4j.core.indicators.averages.SMAIndicator;
import org.ta4j.core.indicators.helpers.ClosePriceIndicator;
import org.ta4j.core.num.DecimalNum;
import org.ta4j.core.num.DecimalNumFactory;
import org.ta4j.core.num.Num;
import org.ta4j.core.rules.OverIndicatorRule;
import org.ta4j.core.rules.UnderIndicatorRule;
import ta4jexamples.datasources.BitStampCsvTradesFileBarSeriesDataSource;
/**
* Example of a trading bot running on a live, moving {@link BarSeries}.
*
* This example simulates a real-time trading environment:
* <ul>
* <li>A strategy is evaluated on the latest bar on each tick/iteration.</li>
* <li>The bot maintains a {@link BaseTradingRecord} and updates it using
* {@link Trade.TradeType} entry/exit signals.</li>
* <li>The series is continuously fed with new simulated ticks, mimicking a live
* feed.</li>
* </ul>
*/
public class TradingBotOnMovingBarSeries {
private static final Logger LOG = LogManager.getLogger(TradingBotOnMovingBarSeries.class);
/**
* Close price of the last bar
*/
private static Num LAST_BAR_CLOSE_PRICE;
/**
* Builds a moving bar series (i.e. keeping only the maxBarCount last bars)
*
* @param maxBarCount the number of bars to keep in the bar series (at maximum)
* @return a moving bar series
*/
private static BarSeries initMovingBarSeries(int maxBarCount) {
BarSeries series = BitStampCsvTradesFileBarSeriesDataSource.loadBitstampSeries();
// Limitating the number of bars to maxBarCount
series.setMaximumBarCount(maxBarCount);
LAST_BAR_CLOSE_PRICE = series.getBar(series.getEndIndex()).getClosePrice();
LOG.debug("Initial bar count: {} (limited to {}), close price = {}", series.getBarCount(), maxBarCount,
LAST_BAR_CLOSE_PRICE);
return series;
}
/**
* @param series a bar series
* @return a dummy strategy
*/
private static Strategy buildStrategy(BarSeries series) {
if (series == null) {
throw new IllegalArgumentException("Series cannot be null");
}
ClosePriceIndicator closePrice = new ClosePriceIndicator(series);
SMAIndicator sma = new SMAIndicator(closePrice, 12);
// Signals
// Buy when SMA goes over close price
// Sell when close price goes over SMA
Strategy buySellSignals = new BaseStrategy(new OverIndicatorRule(sma, closePrice),
new UnderIndicatorRule(sma, closePrice));
return buySellSignals;
}
/**
* Generates a random decimal number between min and max.
*
* @param min the minimum bound
* @param max the maximum bound
* @return a random decimal number between min and max
*/
private static Num randDecimal(Num min, Num max) {
Num randomDecimal = null;
if (min != null && max != null && min.isLessThan(max)) {
Num range = max.minus(min);
Num position = range.multipliedBy(DecimalNum.valueOf(Math.random()));
randomDecimal = min.plus(position);
}
return randomDecimal;
}
/**
* Generates a random bar.
*
* @return a random bar
*/
private static Bar generateRandomBar() {
final Num maxRange = DecimalNum.valueOf("0.03"); // 3.0%
Num openPrice = LAST_BAR_CLOSE_PRICE;
Num lowPrice = openPrice.minus(maxRange.multipliedBy(DecimalNum.valueOf(Math.random())));
Num highPrice = openPrice.plus(maxRange.multipliedBy(DecimalNum.valueOf(Math.random())));
Num closePrice = randDecimal(lowPrice, highPrice);
LAST_BAR_CLOSE_PRICE = closePrice;
return new TimeBarBuilder(DecimalNumFactory.getInstance()).amount(1)
.volume(1)
.timePeriod(Duration.ofDays(1))
.endTime(Instant.now())
.openPrice(openPrice)
.highPrice(highPrice)
.lowPrice(lowPrice)
.closePrice(closePrice)
.build();
}
public static void main(String[] args) throws InterruptedException {
LOG.debug("********************** Initialization **********************");
// Getting the bar series
BarSeries series = initMovingBarSeries(20);
// Building the trading strategy
Strategy strategy = buildStrategy(series);
// Initializing the trading history
TradingRecord tradingRecord = new BaseTradingRecord();
LOG.debug("************************************************************");
/*
* We run the strategy for the 50 next bars.
*/
for (int i = 0; i < 50; i++) {
// New bar
Thread.sleep(30); // I know...
Bar newBar = generateRandomBar();
LOG.debug("------------------------------------------------------\nBar {} added, close price = {}", i,
newBar.getClosePrice().doubleValue());
series.addBar(newBar);
int endIndex = series.getEndIndex();
if (strategy.shouldEnter(endIndex)) {
// Our strategy should enter
LOG.debug("Strategy should ENTER on {}", endIndex);
boolean entered = tradingRecord.enter(endIndex, newBar.getClosePrice(), DecimalNum.valueOf(10));
if (entered) {
Trade entry = tradingRecord.getLastEntry();
LOG.debug("Entered on {} (price={}, amount={})", entry.getIndex(),
entry.getNetPrice().doubleValue(), entry.getAmount().doubleValue());
}
} else if (strategy.shouldExit(endIndex)) {
// Our strategy should exit
LOG.debug("Strategy should EXIT on {}", endIndex);
boolean exited = tradingRecord.exit(endIndex, newBar.getClosePrice(), DecimalNum.valueOf(10));
if (exited) {
Trade exit = tradingRecord.getLastExit();
LOG.debug("Exited on {} (price={}, amount={})", exit.getIndex(), exit.getNetPrice().doubleValue(),
exit.getAmount().doubleValue());
}
}
}
}
}