示例#1
0
        public SignalFXMole(MarketData fx, IndicatorRSI rsi, ModelMacD macD, IndicatorRSI[] rsiRefs, decimal volCoeff)
            : base("FXMole_" + rsi.PeriodSizeMn + "_" + rsi.NbPeriods + "_" + fx.Id, fx)
        {
            _startThreshold      = 2m;
            _timeFrameMn         = 90;
            _timeFramePeakMn     = 75;
            _timeFrameBottomMn   = 30;
            _timeFrameStopLossMn = 30;
            _timeFrameRsiLongMn  = 5;
            _rsiBuyThreshold     = 30m;
            _rsiSellThreshold    = 70m;
            _minVol             = 15m * volCoeff;
            _maxVol             = 30m * volCoeff;
            _maxLongVol         = 50m * volCoeff;
            _maxTotalVol        = 100m * volCoeff;
            _rsi_loss_reset     = true;
            _emaVeryShort       = macD.SignalLow.IndicatorLow;
            _emaShort           = macD.SignalHigh.IndicatorLow;
            _emaLong            = macD.SignalHigh.IndicatorHigh;
            _rsiRefs            = rsiRefs;
            _nominalVol         = 10m * volCoeff;
            _highVol            = 25m * volCoeff;
            _maxSpread          = volCoeff * 1.20m; // max +20% spread
            _maxShortMacDSpread = 5m * volCoeff;
            _maxLongMacDSpread  = 10m * volCoeff;
            _maxWmVol           = 2m * volCoeff;
            //_rsiLong = new IndicatorRSI(fx, rsi.PeriodSizeMn, rsi.NbPeriods * 2);
            _trend = new IndicatorTrend(fx, rsi.PeriodSizeMn * 30, rsi.NbPeriods, false);
            _wmvol = new IndicatorWMVol(fx, _emaVeryShort, 60, 90);
            //_wmvolLong = new IndicatorWMVol(fx, _emaLong);
            _volTrend = new IndicatorTrend(_wmvol, 30, 6, true);
            //_volTrendAvg = new IndicatorEMA(_wmvol, _timeFrameMn);
            _volTrendTrend = new IndicatorTrend(_volTrend, 30, 6, true);
            //_volCurve = new IndicatorCurve(_volTrend);

            for (int idxInterval = 0; idxInterval < _timeFrameStopLossMn; idxInterval++)
            {
                stopLossTimes.Add(new Interval(idxInterval, idxInterval + 1));
            }
            decimal prevStopLoss = _nominalVol;

            for (int idxLin = 0; idxLin < _timeFrameStopLossMn; idxLin++)
            {
                decimal stopLoss = _nominalVol * (1m - (decimal)idxLin / _timeFrameStopLossMn);
                stopLossValues.Add(new Interval(prevStopLoss, stopLoss));
                stopWinValues.Add(new Interval(prevStopLoss, stopLoss));
                prevStopLoss = stopLoss;
            }
            for (int idxLin = 0; idxLin <= _timeFrameStopLossMn; idxLin++)
            {
                bigStopLossValues.Add(new Interval(_highVol, _highVol));
            }
            _trend.Subscribe(OnUpdateTrend, null);
            //_rsiLong.Subscribe(OnUpdateRsiLong, null);
            _wmvol.Subscribe(OnUpdateWmVol, null);
            //_wmvolLong.Subscribe(OnUpdateWmVolLong, null);
            _mktIndicator.Add(rsi);
            _signalCode = SIGNAL_CODE.HOLD;
        }
示例#2
0
        public override void Subscribe(string[] epics, IHandyTableListener tableListener)
        {
            Dictionary <string, List <CqlQuote> > priceData = GetReplayData(epics);

            if (priceData.Count == 0)
            {
                return;
            }

            Calendar dayCalendar = new Calendar(priceData.First().Value[0].t);

            foreach (var epic in epics)
            {
                // for each quote, associate the observed gains in the near future
                var mktData       = new MarketData(epic);
                var wmaLow        = new IndicatorEMA(mktData, 2);
                var wmaMid        = new IndicatorEMA(mktData, 10);
                var wmaHigh       = new IndicatorEMA(mktData, 30);
                var wmaVeryHigh   = new IndicatorEMA(mktData, 90);
                var rsiShort      = new IndicatorRSI(mktData, 1, 14);
                var rsiLong       = new IndicatorRSI(mktData, 2, 14);
                var trendShort    = new IndicatorTrend(mktData, 90, 14, false);
                var trendLong     = new IndicatorTrend(mktData, 180, 14, false);
                var wmvolLow      = new IndicatorWMVol(mktData, wmaLow, 60, 90);
                var wmvolHigh     = new IndicatorWMVol(mktData, wmaMid, 60, 90);
                var volTrendLow   = new IndicatorTrend(wmvolLow, 30, 6, true);
                var volTrendHigh  = new IndicatorTrend(wmvolHigh, 60, 6, true);
                var allIndicators = new List <IndicatorWMA>();
                allIndicators.Add(wmaLow);
                allIndicators.Add(wmaMid);
                allIndicators.Add(wmaHigh);
                allIndicators.Add(wmaVeryHigh);
                allIndicators.Add(rsiShort);
                allIndicators.Add(rsiLong);
                allIndicators.Add(trendShort);
                allIndicators.Add(trendLong);
                allIndicators.Add(wmvolLow);
                allIndicators.Add(wmvolHigh);
                allIndicators.Add(volTrendLow);
                allIndicators.Add(volTrendHigh);

                foreach (var quote in priceData[epic])
                {
                    var mktDataValue = new Price(quote.MidPrice());
                    mktData.Process(quote.t, mktDataValue);
                    foreach (var ind in allIndicators)
                    {
                        ind.Process(quote.t, mktDataValue);
                    }
                }

                var expectations     = new Dictionary <DateTime, KeyValuePair <CqlQuote, decimal> >();
                var gainDistribution = new SortedList <int, DateTime>();
                KeyValuePair <int, DateTime> minProfit = new KeyValuePair <int, DateTime>(1000000, DateTime.MinValue);
                KeyValuePair <int, DateTime> maxProfit = new KeyValuePair <int, DateTime>(-1000000, DateTime.MinValue);
                var rnd              = new Random(155);
                var tradingStart     = Config.ParseDateTimeLocal(Config.Settings["TRADING_START_TIME"]);
                var tradingStop      = Config.ParseDateTimeLocal(Config.Settings["TRADING_STOP_TIME"]);
                var wmaVeryHighStart = wmaVeryHigh.Average(tradingStart);
                var amplitude        = 100.0m;
                foreach (var quote in priceData[epic])
                {
                    if (quote.t.TimeOfDay < tradingStart.TimeOfDay || quote.t.TimeOfDay > tradingStop.TimeOfDay)
                    {
                        continue;
                    }
                    string evtName = "";
                    if (dayCalendar.IsNearEvent(mktData.Name, quote.t, ref evtName))
                    {
                        continue;
                    }
                    var futureVal = (mktData.TimeSeries.Max(quote.t.AddMinutes(5), quote.t.AddMinutes(20)) +
                                     mktData.TimeSeries.Min(quote.t.AddMinutes(5), quote.t.AddMinutes(20))) / 2m;
                    var profit = (int)Math.Round(futureVal - quote.MidPrice());
                    expectations.Add(quote.t, new KeyValuePair <CqlQuote, decimal>(quote, profit));
                    if (gainDistribution.ContainsKey(profit))
                    {
                        if ((quote.t - gainDistribution[profit]).Hours > 3 && (rnd.Next(100) == 0))
                        {
                            gainDistribution[profit] = quote.t;
                        }
                    }
                    else
                    {
                        gainDistribution[profit] = quote.t;
                    }
                    if (profit < minProfit.Key)
                    {
                        minProfit = new KeyValuePair <int, DateTime>(profit, gainDistribution[profit]);
                    }
                    if (profit > maxProfit.Key)
                    {
                        maxProfit = new KeyValuePair <int, DateTime>(profit, gainDistribution[profit]);
                    }
                    quote.b = (quote.b - wmaVeryHighStart.Bid) / amplitude;
                    quote.o = (quote.o - wmaVeryHighStart.Offer) / amplitude;
                }
                gainDistribution = new SortedList <int, DateTime>((from elt in gainDistribution
                                                                   where !isTooClose(elt, gainDistribution)
                                                                   select elt).ToDictionary(keyVal => keyVal.Key, keyVal => keyVal.Value));
                int nbPoints  = 10;
                int idxProfit = 0;
                KeyValuePair <int, DateTime> nextProfit = minProfit;
                var selection = new SortedList <DateTime, KeyValuePair <int, CqlQuote> >();
                while (idxProfit++ < nbPoints)
                {
                    selection.Add(gainDistribution[nextProfit.Key], new KeyValuePair <int, CqlQuote>(nextProfit.Key, expectations[gainDistribution[nextProfit.Key]].Key));
                    var nextKeyVal = gainDistribution.FirstOrDefault(keyVal => keyVal.Key > nextProfit.Key &&
                                                                     keyVal.Key >= ((decimal)minProfit.Key + (decimal)idxProfit * (decimal)(maxProfit.Key - minProfit.Key) / (decimal)nbPoints));
                    if (nextKeyVal.Equals(default(KeyValuePair <int, DateTime>)))
                    {
                        break;
                    }
                    nextProfit = nextKeyVal;
                }
                foreach (var dt in selection.Keys)
                {
                    bool allValid = true;
                    foreach (var ind in allIndicators)
                    {
                        if (ind.TimeSeries[dt] == null)
                        {
                            allValid = false;
                            break;
                        }
                    }
                    if (!allValid)
                    {
                        continue;
                    }
                    PublisherConnection.Instance.Insert(dt, wmaLow, (wmaLow.TimeSeries[dt].Value.Value.Mid() - wmaVeryHighStart.Mid()) / amplitude);
                    PublisherConnection.Instance.Insert(dt, wmaMid, (wmaMid.TimeSeries[dt].Value.Value.Mid() - wmaVeryHighStart.Mid()) / amplitude);
                    PublisherConnection.Instance.Insert(dt, wmaHigh, (wmaHigh.TimeSeries[dt].Value.Value.Mid() - wmaVeryHighStart.Mid()) / amplitude);
                    PublisherConnection.Instance.Insert(dt, wmaVeryHigh, (wmaVeryHigh.TimeSeries[dt].Value.Value.Mid() - wmaVeryHighStart.Mid()) / amplitude);
                    PublisherConnection.Instance.Insert(dt, rsiShort, (rsiShort.TimeSeries[dt].Value.Value.Mid() - 50m) / amplitude);
                    PublisherConnection.Instance.Insert(dt, rsiLong, (rsiLong.TimeSeries[dt].Value.Value.Mid() - 50m) / amplitude);
                    PublisherConnection.Instance.Insert(dt, trendShort, trendShort.TimeSeries[dt].Value.Value.Mid() / 1000m);
                    PublisherConnection.Instance.Insert(dt, trendLong, trendLong.TimeSeries[dt].Value.Value.Mid() / 1000m);
                    PublisherConnection.Instance.Insert(dt, wmvolLow, wmvolLow.TimeSeries[dt].Value.Value.Mid() / 10m);
                    PublisherConnection.Instance.Insert(dt, wmvolHigh, wmvolHigh.TimeSeries[dt].Value.Value.Mid() / 10m);
                    PublisherConnection.Instance.Insert(dt, volTrendLow, volTrendLow.TimeSeries[dt].Value.Value.Mid());
                    PublisherConnection.Instance.Insert(dt, volTrendHigh, volTrendHigh.TimeSeries[dt].Value.Value.Mid());
                    PublisherConnection.Instance.Insert(dt, epic, new Value((double)selection[dt].Key / ((double)amplitude / 2.0)));
                }
                priceData[epic] = selection.Values.Select(kv => kv.Value).ToList();
            }
            replay(priceData, tableListener);
        }
示例#3
0
文件: ModelANN.cs 项目: w1r2p1/MiDax
        public override void Init()
        {
            base.Init();
            _wma_verylow = new IndicatorEMA(_macD.Index, 2);
            _wma_low     = new IndicatorEMA(_macD.SignalLow.IndicatorLow);
            _wma_low.PublishingEnabled = false;
            _wma_mid = new IndicatorEMA(_macD.SignalLow.IndicatorHigh);
            _wma_mid.PublishingEnabled = false;
            _wma_high = new IndicatorEMA(_macD.SignalHigh.IndicatorHigh);
            _wma_high.PublishingEnabled = false;
            var rsiShort = new IndicatorRSI(_macD.Index, 1, 14);

            rsiShort.PublishingEnabled = false;
            var rsiLong = new IndicatorRSI(_macD.Index, 2, 14);

            rsiLong.PublishingEnabled = false;
            var wmVol = new IndicatorWMVol(_macD.Index, _wma_low, 60, 90);

            wmVol.PublishingEnabled = false;
            _mktIndices.AddRange(_otherIndices);
            //_mktIndicators.Add(_wma_verylow);
            //_mktIndicators.Add(_wma_low);
            //_mktIndicators.Add(_wma_mid);
            //_mktIndicators.Add(_wma_high);
            //_mktIndicators.Add(wmVol);
            //_mktIndicators.Add(new IndicatorWMVol(_index, _wma_mid, 60, 90));
            _mktIndicators.Add(new IndicatorNearestLevel(_index));

            int lastversion = StaticDataConnection.Instance.GetAnnLatestVersion(_annId, _index.Id);

            _annWeights = StaticDataConnection.Instance.GetAnnWeights(_annId, _index.Id, lastversion);
            var signalType = Type.GetType("MidaxLib.SignalANN" + _annId);
            List <Indicator> annIndicators = new List <Indicator>();

            annIndicators.Add(_wma_verylow);
            annIndicators.Add(_wma_low);
            annIndicators.Add(_wma_mid);
            annIndicators.Add(_wma_high);
            annIndicators.Add(rsiShort);
            annIndicators.Add(rsiLong);
            annIndicators.Add(wmVol);
            List <object> signalParams = new List <object>();

            signalParams.Add(_index);
            signalParams.Add(annIndicators);
            signalParams.Add(_annWeights);
            this._ann = (SignalANN)Activator.CreateInstance(signalType, signalParams.ToArray());
            this._mktSignals.Add(this._ann);

            var allIndices = new List <MarketData>();

            allIndices.Add(_index);
            allIndices.AddRange(_otherIndices);
            foreach (var index in allIndices)
            {
                var indicatorLow        = new IndicatorLow(index);
                var indicatorHigh       = new IndicatorHigh(index);
                var indicatorCloseBid   = new IndicatorCloseBid(index);
                var indicatorCloseOffer = new IndicatorCloseOffer(index);
                _mktIndicators.Add(indicatorLow);
                _mktIndicators.Add(indicatorHigh);
                _mktIndicators.Add(indicatorCloseBid);
                _mktIndicators.Add(indicatorCloseOffer);
                _mktEODIndicators.Add(indicatorLow);
                _mktEODIndicators.Add(indicatorHigh);
                _mktEODIndicators.Add(indicatorCloseBid);
                _mktEODIndicators.Add(indicatorCloseOffer);
                _mktEODIndicators.Add(new IndicatorLevelPivot(index));
                _mktEODIndicators.Add(new IndicatorLevelR1(index));
                _mktEODIndicators.Add(new IndicatorLevelR2(index));
                _mktEODIndicators.Add(new IndicatorLevelR3(index));
                _mktEODIndicators.Add(new IndicatorLevelS1(index));
                _mktEODIndicators.Add(new IndicatorLevelS2(index));
                _mktEODIndicators.Add(new IndicatorLevelS3(index));
            }
        }