Examples with Trade_ suite.trade.Trade_ used on opensource projects

Example 1 with Trade_

use of suite.trade.Trade_ in project suite by stupidsing.

the class DailyMain method alloc.

private Result alloc(String tag, float fund, BackAllocator backAllocator, Streamlet<Asset> assets) {
    TimeRange period = TimeRange.daysBefore(64);
    Simulate sim = BackAllocTester.of(cfg, period, assets, backAllocator, log).simulate(fund);
    Account account0 = Account.ofPortfolio(cfg.queryHistory().filter(r -> String_.equals(r.strategy, tag)));
    Account account1 = sim.account;
    Map<String, Integer> assets0 = account0.assets();
    Map<String, Integer> assets1 = account1.assets();
    Set<String> symbols = Set_.union(assets0.keySet(), assets1.keySet());
    Map<String, Float> priceBySymbol = cfg.quote(symbols);
    List<Trade> trades = Trade_.diff(Trade.NA, assets0, assets1, priceBySymbol::get).toList();
    sb.append("\nstrategy = " + tag + ", " + sim.conclusion());
    return new Result(tag, trades);
}

Example 2 with Trade_

use of suite.trade.Trade_ in project suite by stupidsing.

the class AnalyzeTimeSeriesTest method analyze.

private void analyze(float[] prices) {
    int length = prices.length;
    int log2 = Quant.log2trunc(length);
    double nYears = length * Trade_.invTradeDaysPerYear;
    float[] fds = dct.dct(Arrays.copyOfRange(prices, length - log2, length));
    float[] returns = ts.returns(prices);
    float[] logPrices = To.vector(prices, Math::log);
    float[] logReturns = ts.differences(1, logPrices);
    MeanVariance rmv = stat.meanVariance(returns);
    double variance = rmv.variance;
    double kelly = rmv.mean / variance;
    IntFltPair max = IntFltPair.of(Integer.MIN_VALUE, Float.MIN_VALUE);
    for (int i = 4; i < fds.length; i++) {
        float f = Math.abs(fds[i]);
        if (max.t1 < f)
            max.update(i, f);
    }
    IntFunction<BuySell> momFun = n -> {
        int d0 = 1 + n;
        int d1 = 1;
        return buySell(d -> Quant.sign(prices[d - d0], prices[d - d1])).start(d0);
    };
    IntFunction<BuySell> revert = d -> momFun.apply(d).scale(0f, -1f);
    IntFunction<BuySell> trend_ = d -> momFun.apply(d).scale(0f, +1f);
    BuySell[] reverts = To.array(8, BuySell.class, revert);
    BuySell[] trends_ = To.array(8, BuySell.class, trend_);
    BuySell tanh = buySell(d -> Tanh.tanh(3.2d * reverts[1].apply(d)));
    float[] holds = mt.hold(prices, 1f, 1f, 1f);
    float[] ma200 = ma.movingAvg(prices, 200);
    BuySell mat = buySell(d -> {
        int last = d - 1;
        return Quant.sign(ma200[last], prices[last]);
    }).start(1).longOnly();
    BuySell mt_ = buySell(d -> holds[d]);
    Pair<float[], float[]> bbmv = bb.meanVariances(VirtualVector.of(logReturns), 9, 0);
    float[] bbmean = bbmv.t0;
    float[] bbvariances = bbmv.t1;
    BuySell ms2 = buySell(d -> {
        int last = d - 1;
        int ref = last - 250;
        float mean = bbmean[last];
        return Quant.sign(logPrices[last], logPrices[ref] - bbvariances[last] / (2d * mean * mean));
    }).start(1 + 250);
    LogUtil.info(// 
    "" + "\nsymbol = " + // 
    symbol + "\nlength = " + // 
    length + "\nnYears = " + // 
    nYears + "\nups = " + // 
    Floats_.of(returns).filter(return_ -> 0f <= return_).size() + "\ndct period = " + // 
    max.t0 + // 
    Ints_.range(// 
    10).map(// 
    d -> "\ndct component [" + d + "d] = " + fds[d]).collect(// 
    As::joined) + "\nreturn yearly sharpe = " + // 
    rmv.mean / Math.sqrt(variance / nYears) + "\nreturn kelly = " + // 
    kelly + "\nreturn skew = " + // 
    stat.skewness(returns) + "\nreturn kurt = " + // 
    stat.kurtosis(returns) + // 
    Ints_.of(1, 2, 4, 8, 16, // 
    32).map(// 
    d -> "\nmean reversion ols [" + d + "d] = " + ts.meanReversion(prices, d).coefficients[0]).collect(// 
    As::joined) + // 
    Ints_.of(4, // 
    16).map(// 
    d -> "\nvariance ratio [" + d + "d over 1d] = " + ts.varianceRatio(prices, d)).collect(// 
    As::joined) + "\nreturn hurst = " + // 
    ts.hurst(prices, prices.length / 2) + "\nhold " + // 
    buySell(d -> 1d).invest(prices) + "\nkelly " + // 
    buySell(d -> kelly).invest(prices) + "\nma200 trend " + // 
    mat.invest(prices) + // 
    Ints_.range(1, // 
    8).map(// 
    d -> "\nrevert [" + d + "d] " + reverts[d].invest(prices)).collect(// 
    As::joined) + // 
    Ints_.range(1, // 
    8).map(// 
    d -> "\ntrend_ [" + d + "d] " + trends_[d].invest(prices)).collect(// 
    As::joined) + // 
    Ints_.range(1, // 
    8).map(// 
    d -> "\nrevert [" + d + "d] long-only " + reverts[d].longOnly().invest(prices)).collect(// 
    As::joined) + // 
    Ints_.range(1, // 
    8).map(// 
    d -> "\ntrend_ [" + d + "d] long-only " + trends_[d].longOnly().invest(prices)).collect(// 
    As::joined) + "\nms2 " + // 
    ms2.invest(prices) + "\nms2 long-only " + // 
    ms2.longOnly().invest(prices) + "\ntanh " + // 
    tanh.invest(prices) + "\ntimed " + // 
    mt_.invest(prices) + "\ntimed long-only " + mt_.longOnly().invest(prices));
}

Example 3 with Trade_

use of suite.trade.Trade_ in project suite by stupidsing.

the class DailyMain method run.

private boolean run() {
    Trade_.blackList = Union.of(Trade_.blackList, blackList);
    var sellPool = "sellpool";
    var ymd = HkexUtil.getCloseTimeBefore(Time.now()).ymd();
    var td = ymd + "#";
    // perform systematic trading
    var results = // 
    Read.each(// 
    alloc(bacs.pair_bb, 66666f), // 
    alloc("bug", bacs.bac_sell, 0f), // 
    alloc(bacs.pair_donchian, 100000f), // 
    alloc(bacs.pair_ema, 0f), // 
    mamr(50000f), // 
    alloc(bacs.pair_pmamr, 150000f), // 
    alloc(bacs.pair_pmamr2, 366666f), // 
    alloc(bacs.pair_pmmmr, 80000f), // 
    alloc(bacs.pair_revco, 0f), // 
    alloc(bacs.pair_tma, 0f), alloc(sellPool, bacs.bac_sell, 0f));
    // unused strategies
    if (Boolean.FALSE) {
        alloc(bacs.pair_donchian, 100000f);
        pairs(0f, "0341.HK", "0052.HK");
        sellForEarn(sellPool);
    }
    var sbs = Summarize.of(cfg).summarize(trade -> trade.strategy);
    var strategyTrades = // 
    results.concatMap2(// 
    result -> Read.from(result.trades).map2(trade -> result.strategy, trade -> trade)).filterValue(// 
    trade -> trade.buySell != 0).collect();
    var requestTrades = strategyTrades.filterKey(strategy -> !Equals.string(strategy, sellPool));
    var amounts = strategyTrades.values().collect(LiftDbl.of(Trade::amount));
    var buys_ = amounts.filter(amount -> 0d < amount).sum();
    var sells = amounts.filter(amount -> amount < 0d).sum();
    sb.append(// 
    sbs.log + "\n" + // 
    sbs.pnlByKey + // 
    "\nBUY REQUESTS" + // 
    requestTrades.filterValue(// 
    trade -> 0 < trade.buySell).sortByValue(// 
    Trade::compare).map((strategy, t) -> // 
    "" + Trade.of(td, -t.buySell, t.symbol, t.price, sellPool).record() + // 
    "\n" + // 
    Trade.of(td, +t.buySell, t.symbol, t.price, strategy).record()) + // 
    "\n" + // 
    "\nSELL REQUESTS" + // 
    requestTrades.filterValue(// 
    trade -> trade.buySell < 0).sortByValue(// 
    Trade::compare).map((strategy, t) -> // 
    "" + Trade.of(td, +t.buySell, t.symbol, t.price, strategy).record() + // 
    "\n" + // 
    Trade.of(td, -t.buySell, t.symbol, t.price, sellPool).record()) + // 
    "\n" + "\nTOTAL BUYS_ = " + // 
    To.string(buys_) + "\nTOTAL SELLS = " + // 
    To.string(sells) + // 
    "\n" + // 
    "\nSUGGESTIONS" + // 
    "\n- check your balance" + "\n- sell mamr and " + // 
    sellPool + "\n");
    var result = sb.toString().replace(".0\t", "\t");
    Log_.info(result);
    new SmtpSsl().send(null, getClass().getName(), result);
    return true;
}

Example 4 with Trade_

use of suite.trade.Trade_ in project suite by stupidsing.

the class BackTestMain method run.

@Override
protected boolean run(String[] args) {
    // BEGIN
    // END
    String arg0 = 0 < args.length ? args[0] : "";
    String arg1 = 1 < args.length ? args[1] : "";
    String arg2 = 2 < args.length ? args[2] : "";
    Streamlet<String> strategyMatches = !arg0.isEmpty() ? Read.from(arg0.split(",")) : null;
    Streamlet<Integer> years = !arg1.isEmpty() ? // 
    Read.from(// 
    arg1.split(",")).concatMap(s -> {
        Pair<String, String> pair = ParseUtil.search(s, "-", Assoc.RIGHT);
        return // 
        pair != null ? // 
        Ints_.range(Integer.valueOf(pair.t0), Integer.valueOf(pair.t1)).map(i -> i) : Read.each(Integer.valueOf(s));
    }) : // 
    Ints_.range(2007, Trade_.thisYear).map(i -> i);
    Fun<Time, Streamlet<Asset>> fun = // 
    !arg2.isEmpty() ? // 
    time -> Read.from(arg2.split(",")).map(cfg::queryCompany).collect(As::streamlet) : cfg::queryCompaniesByMarketCap;
    BackAllocConfigurations bac_ = new BackAllocConfigurations(cfg, fun);
    Streamlet2<String, BackAllocConfiguration> bacByTag = bac_.bacs().bacByName;
    Streamlet2<String, Simulate> simulationByKey = // 
    bacByTag.filterKey(// 
    n -> strategyMatches == null || strategyMatches.isAny(sm -> Wildcard.match(sm, n) != null)).map(// 
    Pair::of).join2(// 
    years.sort(Object_::compare).map(TimeRange::ofYear)).map2((pair, period) -> pair.t0, (pair, period) -> {
        BackAllocConfiguration bac = pair.t1;
        Streamlet<Asset> assets = bac.assetsFun.apply(period.from);
        return runner.backTest(bac.backAllocator, period, assets);
    }).collect(As::streamlet2);
    String content0 = // 
    Read.bytes(// 
    Paths.get("src/main/java/" + getClass().getName().replace('.', '/') + ".java")).collect(// 
    As::utf8decode).map(// 
    Chars::toString).collect(As::joined);
    String content1 = ParseUtil.fit(content0, "// BEGIN", "// END")[1];
    System.out.println(content1);
    System.out.println(runner.conclude(simulationByKey));
    return true;
}

Example 5 with Trade_

use of suite.trade.Trade_ in project suite by stupidsing.

the class MovingAvgMeanReversionBackAllocator method backAllocator.

public BackAllocator backAllocator() {
    return (akds, indices) -> {
        Map<String, DataSource> dsBySymbol = akds.dsByKey.toMap();
        double dailyRiskFreeInterestRate = Trade_.riskFreeInterestRate(1);
        DataSourceView<String, MeanReversionStat> dsv = // 
        DataSourceView.of(tor, 256, akds, (symbol, ds, period) -> new MeanReversionStat(ds, period));
        return index -> {
            Map<String, MeanReversionStat> mrsBySymbol = // 
            akds.dsByKey.map2(// 
            (symbol, ds) -> dsv.get(symbol, index)).filterValue(// 
            mrsReversionStat -> mrsReversionStat != null).toMap();
            // ensure 0 < half-life: determine investment period
            return // 
            Read.from2(mrsBySymbol).filterValue(mrs -> // 
            mrs.adf < 0d && // 
            mrs.hurst < .5d && // 
            mrs.movingAvgMeanReversionRatio() < 0d).map2((symbol, mrs) -> {
                DataSource ds = dsBySymbol.get(symbol);
                double price = ds.prices[index - 1];
                double lma = mrs.latestMovingAverage();
                double diff = mrs.movingAvgMeanReversion.predict(new float[] { (float) lma, 1f });
                double dailyReturn = diff / price - dailyRiskFreeInterestRate;
                ReturnsStat returnsStat = ts.returnsStatDaily(ds.prices);
                double sharpe = returnsStat.sharpeRatio();
                double kelly = dailyReturn * price * price / mrs.movingAvgMeanReversion.sse;
                return new PotentialStat(dailyReturn, sharpe, kelly);
            }).filterValue(// 
            ps -> 0d < ps.kelly).cons(Asset.cashSymbol, // 
            new PotentialStat(Trade_.riskFreeInterestRate, 1d, 0d)).mapValue(// 
            ps -> ps.kelly).sortBy(// 
            (symbol, potential) -> -potential).take(// 
            top).toList();
        };
    };
}