void addBar(StatisticsCollector collector, IEnumerable <Position> positions, double close, double fxRate)
{
var weightedPositions = O.convert(positions, p => new WeightedPosition(p));
collector.addBar(weightedPositions, O.dictionaryOne(symbol(), new Bar(close, close, close, close, currentDate)), O.dictionaryOne(symbol(), fxRate));
currentDate = currentDate.AddDays(1);
}
static double expectancy(StatisticsCollector collector)
{
var expectedWin = AVERAGE_WIN(collector) * WINNING_TRADES_PERCENT(collector);
var expectedLoss = AVERAGE_LOSS(collector) * (1 - WINNING_TRADES_PERCENT(collector));
return((expectedLoss + expectedWin) / Math.Abs(AVERAGE_LOSS(collector)));
}
public static double yearsInCollector(StatisticsCollector collector)
{
var firstDate = first(collector.dates());
var lastDate = last(collector.dates());
return(lastDate.Subtract(firstDate).TotalDays / 365.25);
}
internal static List <Drawdown> allDrawdowns(StatisticsCollector collector)
{
var equities = cumulativeSum(collector.pnl());
var highWaterMarks = cumulativeMax(equities);
Drawdown current = null;
var drawdowns = new List <Drawdown>();
each(equities, highWaterMarks, (equity, highWaterMark) => {
if (equity == highWaterMark)
{
if (current != null)
{
current.closed();
}
current = null;
return;
}
if (current == null)
{
current = new Drawdown();
drawdowns.Add(current);
}
current.add(equity, highWaterMark);
});
return(drawdowns);
}
static Position addTrade(Order order, StatisticsCollector collector, double fillPrice, double slippage, double fxRate)
{
var trade = new Trade(order, fillPrice, order.size, slippage, fxRate);
var position = order.fill(trade);
collector.addOrder(new WeightedPosition(position), new WeightedTrade(trade));
return(position);
}
public Dictionary <string, double> values(StatisticsCollector collector)
{
Bomb.when(collector.pnl().Count == 0, () => "must have at least one observation");
collector.cacheAllDrawdowns(allDrawdowns(collector));
var result = dictionary(calculators.Keys, name => calculators[name](collector));
collector.cacheAllDrawdowns(null);
return(result);
}
void addClosedPosition(StatisticsCollector collector, double pnl, int barsHeld)
{
var order = symbol().buy("buy one", market(), 1, oneBar()).placed();
var position = addTrade(order, collector, -0.015625, 0.015625, 1);
O.zeroTo(barsHeld, i => position.newBar());
var exit = position.exit("get out", market(), oneBar()).placed();
addTrade(exit, collector, pnl + 0.015625, 0.015625, 1);
}
static double kappaRatio(StatisticsCollector collector, int moment)
{
var pnl = collector.pnl();
if (all(pnl, p => p == 0))
{
return(0);
}
return(average(pnl) / Math.Pow(lowerPartialMoment(pnl, moment), 1.0 / moment));
}
static double averageDrawdownRecoveryTime(StatisticsCollector collector)
{
var drawdowns = closedDrawdowns(collector);
if (drawdowns.Count == 0)
{
return(0);
}
return(drawdowns.Count == 0 ? 0 : average(convert(drawdowns, d => (double)d.recoveryTime())));
}
static double averageDrawdown(StatisticsCollector collector)
{
var drawdowns = collector.allDrawdowns();
if (drawdowns.Count == 0)
{
return(0);
}
return(-average(convert(drawdowns, d => d.size())));
}
public void addOrder(StatisticsCollector collector, Position position, Trade trade)
{
if (!collects(position))
{
return;
}
var w = weight(position);
collector.addOrder(new WeightedPosition(position, w), new WeightedTrade(trade, w));
}
static IEnumerable <double> collapsedPnl(StatisticsCollector collector, Converter <DateTime, DateTime> toKey)
{
var bucketed = new Dictionary <DateTime, double>();
each(collector.dates(), collector.pnl(), (barDate, pnl) => {
var key = toKey(barDate);
double total;
bucketed.TryGetValue(key, out total);
bucketed[key] = total + pnl;
});
return(convert(sort(bucketed.Keys), key => bucketed[key]));
}
public void testMaxDrawdown()
{
var collector = new StatisticsCollector(arguments());
var position = addOpenPosition(collector, 0.0, 1);
oneBar(collector, position, 10, 10000, 0);
oneBar(collector, position, 8, 8000, -2000);
oneBar(collector, position, 11, 11000, -2000);
oneBar(collector, position, 8, 8000, -3000);
oneBar(collector, position, 6, 6000, -5000);
oneBar(collector, position, 8, 8000, -5000);
oneBar(collector, position, 12, 12000, -5000);
}
static double maxDrawdown(StatisticsCollector collector)
{
var pnl = collector.pnl();
if (isEmpty(pnl))
{
return(0);
}
var equity = cumulativeSum(pnl);
var highWaterMark = cumulativeMax(equity);
return(min(subtract(equity, highWaterMark)));
}
static List <Drawdown> closedDrawdowns(StatisticsCollector collector)
{
var drawdowns = copy(collector.allDrawdowns());
if (isEmpty(drawdowns))
{
return(drawdowns);
}
if (last(drawdowns).isOpen())
{
drawdowns.RemoveAt(drawdowns.Count - 1);
}
return(drawdowns);
}
public void addBar(StatisticsCollector collector, System system, Dictionary <Symbol, Bar> bars, Dictionary <Symbol, double> fxRates)
{
var symbols = weights.Keys;
var myBars = dictionary(accept(bars, entry => weights.ContainsKey(entry.Key)));
if (isEmpty(myBars))
{
return;
}
var ours = collect(symbols, symbol => system.positions(symbol));
var weighted = convert(ours, p => new WeightedPosition(p, weight(p)));
collector.addBar(weighted, myBars, fxRates);
}
void doSomeTrades(StatisticsCollector collector)
{
var first = addTrade(symbol().buy("buy", market(), 3, oneBar()).placed(), collector, 100, 0, 1.05);
addBar(collector, O.list(first), 99, 1);
addBar(collector, O.list(first), 103, 1.2);
addBar(collector, O.list(first), 97, 1.1);
addTrade(first.exit("out", market(), oneBar()).placed(), collector, 101, 0, 1.1);
var second = addTrade(symbol().sell("sell", market(), 7, oneBar()).placed(), collector, 102, 0, 1.1);
addBar(collector, O.list(second), 100, 1.4);
addBar(collector, O.list(second), 101, 1.3);
addTrade(second.exit("out", market(), oneBar()).placed(), collector, 99, 0, 1.3);
addBar(collector, 99, 0.9);
}
public void testForeignExchangeFXConversion()
{
symbol().setBigPointValue(5000);
var collector = new StatisticsCollector(arguments());
doSomeTrades(collector);
O.each(O.list(-90000.0, 369000, -253500, -907000, 304500, 91000), collector.pnl(), (a, b) => AlmostEqual(a, b, 1e-8));
var metrics = collector.metrics();
AreEqual(1, metrics["QWinningTrades"]);
AlmostEqual(91500, metrics["QAverageWin"], 1e-8);
AlmostEqual(-577500, metrics["QAverageLoss"], 1e-8);
AlmostEqual(-486000, metrics["QNetProfit"], 1e-8);
}
// conditional: average one to n.alpha instead of n.alppha alone
static double percentileDrawdown(StatisticsCollector collector, double percentile, bool isConditional)
{
var drawdowns = collector.allDrawdowns();
var notEnough = percentile == 0.1 ? drawdowns.Count < 10 : drawdowns.Count < 5;
if (notEnough)
{
return(0);
}
var nAlpha = (int)Math.Floor(drawdowns.Count * percentile) - 1;
if (isConditional)
{
return(-average(convert(sort(drawdowns).GetRange(0, nAlpha + 1), dd => dd.size())));
}
return(-sort(drawdowns)[nAlpha].size());
}
static double kRatio(StatisticsCollector collector)
{
var pnl = collector.pnl();
if (all(pnl, p => p == 0))
{
return(0);
}
var equity = cumulativeSum(pnl);
var regression = new SimpleRegression();
eachIt(equity, (i, p) => regression.addData(i + 1, p));
var b1 = regression.getSlope();
var stdError = regression.getSlopeStdErr();
return(b1 / (stdError * Math.Sqrt(pnl.Count)));
}
public void testForeignExchangeFXConversionCanBeTurnedOff()
{
symbol().setBigPointValue(5000);
var args = arguments();
args.runInNativeCurrency = true;
var collector = new StatisticsCollector(args);
doSomeTrades(collector);
O.each(O.list(-15000.0, 60000, -90000, 130000, -35000, 70000), collector.pnl(), (a, b) => AlmostEqual(a, b, 1e-8));
var metrics = collector.metrics();
AreEqual(2, metrics["QWinningTrades"]);
AlmostEqual(60000, metrics["QAverageWin"], 1e-8);
AlmostEqual(0, metrics["QAverageLoss"], 1e-8);
AlmostEqual(120000, metrics["QNetProfit"], 1e-8);
}
static double losingTradesPercent(StatisticsCollector collector)
{
return(safeDivide(0, LOSING_TRADES(collector), TOTAL_FINISHED_TRADES(collector)));
}
public void testMetricCalcs()
{
var collector = new StatisticsCollector(arguments());
addClosedPosition(collector, 100.0, 1);
addClosedPosition(collector, 90.0, 2);
addClosedPosition(collector, -90.25, 3);
addClosedPosition(collector, 0, 4);
addClosedPosition(collector, -98.25, 5);
var position = addOpenPosition(collector, 95.0, 10);
addBar(collector, position, 96, 1);
AreEqual(11.50 * symbol().bigPointValue, collector.netProfit());
addBar(collector, position, 97, 1);
AreEqual(21.50 * symbol().bigPointValue, collector.netProfit());
addBar(collector, position, 92, 1);
addBar(collector, position, 97, 1);
var expectedMetrics = new Dictionary <string, double> {
{ "QDownsideDeviation", 50000 },
{ "QStandardDeviation", 41298.4563876182 },
{ "QStandardDeviationWeekly", 0 },
{ "QStandardDeviationMonthly", 0 },
{ "QSharpeRatio", 3.99276123210182 },
{ "QSharpeRatioWeekly", 0 },
{ "QSharpeRatioMonthly", 0 },
{ "QNetProfitPerMaxDrawdown", 21500 / 50000.0 },
{ "QLargestLossPerAverageLoss", 98250 / 94250.0 },
{ "QLargestLossPerGrossLoss", 98250 / 188500.0 },
{ "QLargestWinPerAverageWin", 100000 / 95000.0 },
{ "QLargestWinPerGrossProfit", 100000 / 190000.0 },
{ "QLargestWinPerNetProfit", 100000 / 21500.0 },
{ "QWinLossRatio", 1.00795755968170 },
{ "QAverageTrade", 21500 / 6.0 },
{ "QExpectancy", -0.196816976127321 },
{ "QTradesPerBar", 1.5 },
{ "QExpectancyScore", -0.295225464190981 },
{ "QLargestWinningTrade", 100000 },
{ "QLargestLosingTrade", -98250 },
{ "QAverageLoss", -94250 },
{ "QAverageWin", 95000 },
{ "QRealizedNetProfit", 1500 },
{ "QRealizedGrossLoss", -188500 },
{ "QRealizedGrossProfit", 190000 },
{ "QAverageProfit", 300 },
{ "QNetProfit", 21500 },
{ "QUnrealizedNetProfit", 20000 },
{ "QWinningTradesPct", 0.40 },
{ "QLosingTradesPct", 0.40 },
{ "QNeutralTrades", 1 },
{ "QWinningTrades", 2 },
{ "QLosingTrades", 2 },
{ "QLongWinningTrades", 2 },
{ "QLongLosingTrades", 2 },
{ "QShortWinningTrades", 0 },
{ "QShortLosingTrades", 0 },
{ "QMaxConsecutiveWinningTrades", 2 },
{ "QMaxConsecutiveLosingTrades", 1 },
{ "QTotalFinishedTrades", 5 },
{ "QTotalTrades", 6 },
{ "QAverageLosingBarsHeld", 4 },
{ "QAverageWinningBarsHeld", 1.5 },
{ "QAverageBarsHeld", 3 },
{ "QWinningBarsHeld", 3 },
{ "QLosingBarsHeld", 8 },
{ "QTotalBarsHeld", 15 },
{ "QMaxDrawdown", -50000 },
{ "QKRatio", -0.077151674981046 },
{ "QAnnualizedNetProfit", 2617625 },
{ "QCalmarRatio", 52.3525 },
{ "QConditionalTenPercentileCalmarRatio", 0 },
{ "QConditionalTwentyPercentileCalmarRatio", 0 },
{ "QAverageDrawdown", -50000 },
{ "QAverageDrawdownTime", 2 },
{ "QAverageDrawdownRecoveryTime", 1 },
{ "QTenPercentileDrawdown", 0 },
{ "QConditionalTenPercentileDrawdown", 0 },
{ "QTwentyPercentileDrawdown", 0 },
{ "QConditionalTwentyPercentileDrawdown", 0 },
{ "QSortinoRatio", 4.74463644550349 },
{ "QOmegaRatio", 1.43 },
{ "QUpsidePotentialRatio", 0.476666666666667 },
{ "QTotalSlippage", 156.25 },
{ "QAverageSlippagePerWinningTrade", 31.25 },
{ "QAverageSlippagePerLosingTrade", 31.25 }
};
var metrics = collector.metrics();
O.each(expectedMetrics, (name, value) => AlmostEqual(value, Bomb.missing(metrics, name), 1e-10));
AreEqual(expectedMetrics.Count, metrics.Count);
}
static double annualizedNetProfit(StatisticsCollector collector)
{
return(NET_PROFIT(collector) / yearsInCollector(collector));
}
void oneBar(StatisticsCollector collector, Position position, double close, double expectedProfit, double expectedDrawdown)
{
addBar(collector, position, close, 1);
AreEqual(expectedProfit, collector.netProfit());
AreEqual(expectedDrawdown, Metrics.MAX_DRAWDOWN(collector));
}
void addBar(StatisticsCollector collector, Position position, double close, double fxRate)
{
addBar(collector, O.list(position), close, fxRate);
}
static double annualizationFactor(StatisticsCollector collector)
{
return(Math.Sqrt(count(collector.pnl()) / yearsInCollector(collector)));
}
static double upsidePotentialRatio(StatisticsCollector collector)
{
var pnl = collector.pnl();
return(semiDeviation(pnl, 1, true) / semiDeviation(pnl, 2, false));
}
void addBar(StatisticsCollector collector, double close, double fxRate)
{
addBar(collector, new List <Position>(), close, fxRate);
}
Position addOpenPosition(StatisticsCollector collector, double price, int size)
{
var order = symbol().buy("buy one", market(), size, oneBar()).placed();
return(addTrade(order, collector, price - 0.015625, 0.015625, 1));
}
