public void ResetsProperly()
{
var min = new Minimum(3);
min.Update(DateTime.Today, 1m);
min.Update(DateTime.Today.AddSeconds(1), 2m);
min.Update(DateTime.Today.AddSeconds(2), 1m);
Assert.IsTrue(min.IsReady);
min.Reset();
Assert.AreEqual(0, min.PeriodsSinceMinimum);
TestHelper.AssertIndicatorIsInDefaultState(min);
}
public void ComputesCorrectly()
{
var min = new Minimum(3);
var reference = DateTime.UtcNow;
min.Update(reference, 1m);
Assert.AreEqual(1m, min.Current.Value);
Assert.AreEqual(0, min.PeriodsSinceMinimum);
min.Update(reference.AddDays(1), 2m);
Assert.AreEqual(1m, min.Current.Value);
Assert.AreEqual(1, min.PeriodsSinceMinimum);
min.Update(reference.AddDays(2), -1m);
Assert.AreEqual(-1m, min.Current.Value);
Assert.AreEqual(0, min.PeriodsSinceMinimum);
min.Update(reference.AddDays(3), 2m);
Assert.AreEqual(-1m, min.Current.Value);
Assert.AreEqual(1, min.PeriodsSinceMinimum);
min.Update(reference.AddDays(4), 0m);
Assert.AreEqual(-1m, min.Current.Value);
Assert.AreEqual(2, min.PeriodsSinceMinimum);
min.Update(reference.AddDays(5), 3m);
Assert.AreEqual(0m, min.Current.Value);
Assert.AreEqual(1, min.PeriodsSinceMinimum);
min.Update(reference.AddDays(6), 2m);
Assert.AreEqual(0m, min.Current.Value);
Assert.AreEqual(2, min.PeriodsSinceMinimum);
}
public void ResetsProperly() {
var left = new Maximum("left", 2);
var right = new Minimum("right", 2);
var composite = new CompositeIndicator<IndicatorDataPoint>(left, right, (l, r) => l + r);
left.Update(DateTime.Today, 1m);
right.Update(DateTime.Today,-1m);
left.Update(DateTime.Today.AddDays(1), -1m);
right.Update(DateTime.Today.AddDays(1), 1m);
Assert.AreEqual(left.PeriodsSinceMaximum, 1);
Assert.AreEqual(right.PeriodsSinceMinimum, 1);
composite.Reset();
TestHelper.AssertIndicatorIsInDefaultState(composite);
TestHelper.AssertIndicatorIsInDefaultState(left);
TestHelper.AssertIndicatorIsInDefaultState(right);
Assert.AreEqual(left.PeriodsSinceMaximum, 0);
Assert.AreEqual(right.PeriodsSinceMinimum, 0);
}
public void ResetsProperly()
{
var left = new Maximum("left", 2);
var right = new Minimum("right", 2);
var composite = new CompositeIndicator <IndicatorDataPoint>(left, right, (l, r) => l + r);
left.Update(DateTime.Today, TimeZone.Utc, 1m);
right.Update(DateTime.Today, TimeZone.Utc, -1m);
left.Update(DateTime.Today.AddDays(1), TimeZone.Utc, -1m);
right.Update(DateTime.Today.AddDays(1), TimeZone.Utc, 1m);
Assert.Equal(1, left.PeriodsSinceMaximum);
Assert.Equal(1, right.PeriodsSinceMinimum);
composite.Reset();
TestHelper.AssertIndicatorIsInDefaultState(composite);
TestHelper.AssertIndicatorIsInDefaultState(left);
TestHelper.AssertIndicatorIsInDefaultState(right);
Assert.Equal(0, left.PeriodsSinceMaximum);
Assert.Equal(0, right.PeriodsSinceMinimum);
}
public void ResetsProperly()
{
var left = new Maximum("left", 2);
var right = new Minimum("right", 2);
var composite = new CompositeIndicator <IndicatorDataPoint>(left, right, (l, r) => l.Current.Value + r.Current.Value);
left.Update(DateTime.Today, 1m);
right.Update(DateTime.Today, -1m);
left.Update(DateTime.Today.AddDays(1), -1m);
right.Update(DateTime.Today.AddDays(1), 1m);
Assert.AreEqual(left.PeriodsSinceMaximum, 1);
Assert.AreEqual(right.PeriodsSinceMinimum, 1);
composite.Reset();
TestHelper.AssertIndicatorIsInDefaultState(composite);
TestHelper.AssertIndicatorIsInDefaultState(left);
TestHelper.AssertIndicatorIsInDefaultState(right);
Assert.AreEqual(left.PeriodsSinceMaximum, 0);
Assert.AreEqual(right.PeriodsSinceMinimum, 0);
}
private void CalculateDailyProfits()
{
foreach (SecurityHolding holding in Portfolio.Values)
{
#region logging
dayprofit = holding.Profit - lastprofit;
dayfees = holding.TotalFees - lastfees;
daynet = dayprofit - dayfees;
lastprofit = holding.Profit;
lastfees = holding.TotalFees;
string msg = String.Format("{0},{1},{2},{3},{4},{5},{6},{7},{8},{9},{10}",
tradingDate.ToShortDateString(),
dayprofit,
dayfees,
daynet,
holding.Profit,
holding.TotalFees,
holding.Profit - holding.TotalFees,
_tradecount - lasttradecount,
Portfolio[symbol].HoldingsValue,
sharesOwned,
""
);
dailylog.Debug(msg);
MaxDailyProfit.Update(idp(tradingDate, daynet));
MinDailyProfit.Update(idp(tradingDate, daynet));
lasttradecount = _tradecount;
dayprofit = 0;
dayfees = 0;
daynet = 0;
#endregion
}
}
/// <summary>
/// OnData event is the primary entry point for your algorithm. Each new data point will be pumped in here.
/// </summary>
/// <param name="data">TradeBars IDictionary object with your stock data</param>
public void OnData(TradeBars data)
{
barcount++;
//decimal dp;
try
{
maxHigh.Update(new IndicatorDataPoint(this.Time, data[_symbol].Close));
minLow.Update(new IndicatorDataPoint(this.Time, data[_symbol].Close));
fx.Update(new IndicatorDataPoint(this.Time, data[_symbol].Close));
if (fx.IsReady)
{
var Price = data[_symbol].Close;
var MinL = minLow.Current.Value;
var MaxH = maxHigh.Current.Value;
var v0 = value1[0].Value;
value1.Add(new IndicatorDataPoint(this.Time, .33m * 2m * ((Price - MinL) / (MaxH - MinL) - .5m) + .67m * v0));
if (value1[0].Value > .9999m)
{
value1[0].Value = .9999m;
}
if (value1[0].Value < -.9999m)
{
value1[0].Value = -.9999m;
}
var fish0 = fish[0];
var fish1 =
System.Convert.ToDecimal(.5 * 2.0 *
Math.Log((1.0 + (double)value1[0].Value) /
(1.0 - (double)value1[0].Value))) + .5m * fish0.Value;
fish.Add(new IndicatorDataPoint(this.Time, fish1));
//wma.Update(fish[0]);
//wwma.Add(new IndicatorDataPoint(this.Time, wma.Current));
//fishHigh.Update(fish[0]);
//fishLow.Update(fish[0]);
var fishdirval = fish[1].Value - fish[0].Value;
var fishdirection = fishdirval > 0m ? "Up" : "Down";
var signal = CalculateSignal();
string logmsg =
string.Format("{0},{1},{2},{3},{4},{5},{6},{7},{8},{9},{10},{11},{12},{13},{14},{15},{16},{17}",
this.Time,
barcount,
data[_symbol].Open,
data[_symbol].High,
data[_symbol].Low,
data[_symbol].Close,
MinL,
MaxH,
fish[0].Value,
fish[1].Value,
signal,
fx.Current.Value,
Portfolio[_symbol].UnrealizedProfit,
fishdirection,
Portfolio[_symbol].LastTradeProfit,
Portfolio[_symbol].TotalFees,
Portfolio[_symbol].TotalCloseProfit(),
""
);
mylog.Debug(logmsg);
/*
* Here is a way to generate trading signals using the fisher transform indicator:
* A bullish signal is generated when the fisher line turns up below -1 threshold and crosses above the signal line.
* A bearish signal is generated when the fisher line turns down above the 1 threshold and crosses below the signal line.
*
* Read more: http://www.quantshare.com/item-528-fisher-transform-technical-indicator#ixzz3ZV8fR0Dw
* Follow us: @quantshare on Twitter
*/
if (signal != 0)
{
if (Math.Abs(lastTransactionFish - fish[0].Value) > 1)
{
SetHoldings(_symbol, 0.5 * signal);
lastTransactionFish = fish[0].Value;
}
}
}
}
catch (Exception ex)
{
Error(ex.Message);
}
}
/// <summary>
/// AroonDown = 100 * (period - {periods since min})/period
/// </summary>
/// <param name="downPeriod">The AroonDown period</param>
/// <param name="min">A Minimum indicator used to compute periods since min</param>
/// <param name="input">The next input data</param>
/// <returns>The AroonDown value</returns>
private static decimal ComputeAroonDown(int downPeriod, Minimum min, IndicatorDataPoint input)
{
min.Update(input);
return 100m * (downPeriod - min.PeriodsSinceMinimum) / downPeriod;
}
/// <summary>
/// The Cycle is a High Pass Filter. We are going to cyberCycleSmooth the price so that the lag is 1.5 bars
/// to eliminate two and 3 bar cyberCycle components, and to remove some noise.
/// </summary>
/// <param name="time"></param>
private void UpdateCyberCycle(DateTime time)
{
if (barcount > 2)
{
cyberCycleSmooth.Add(idp(time, (OptimalTrackingFilter[0].Value + 2 * OptimalTrackingFilter[1].Value + OptimalTrackingFilter[2].Value / 6)));
if (barcount < 7)
{
cyberCycle.Add(idp(time, (OptimalTrackingFilter[0].Value - 2 * OptimalTrackingFilter[1].Value + OptimalTrackingFilter[2].Value) / 4));
}
else
{
// From Ehlers page 15 equation 2.7
var hfp = (1 - a / 2) * (1 - a / 2) * (cyberCycleSmooth[0].Value - 2 * cyberCycleSmooth[1].Value + cyberCycleSmooth[2].Value)
+ 2 * (1 - a) * cyberCycle[0].Value - (1 - a) * (1 - a) * cyberCycle[1].Value;
cyberCycle.Add(idp(time, hfp));
}
}
else
{
cyberCycleSmooth.Add(idp(time, OptimalTrackingFilter[0].Value));
cyberCycle.Add(idp(time, 0));
}
var x = cyberCycle[0];
// Update the stoch version
maxCyberCycle.Update(cyberCycle[0]);
minCyberCycle.Update(cyberCycle[0]);
//decimal maxCycle = GetMaxOf(stochCyberCycleValue1);
//decimal minCycle = GetMinOf(stochCyberCycleValue1);
decimal sccvalue1 = 0;
if ((maxCyberCycle.Current.Value != minCyberCycle.Current.Value))
{
sccvalue1 = (cyberCycle[0].Value - minCyberCycle.Current.Value) / (maxCyberCycle.Current.Value - minCyberCycle.Current.Value);
}
stochCyberCycleValue1.Add(idp(time, sccvalue1));
if (barcount > 4)
{
var value2 = (4 * stochCyberCycleValue1[0].Value
+ 3 * stochCyberCycleValue1[1].Value
+ 2 * stochCyberCycleValue1[2].Value
+ stochCyberCycleValue1[3].Value);
stochCyberCycleValue2[0].Value = 2 * (value2 - .5m);
// v2 is the double version of value2 for use in the fishers
double v2 = System.Convert.ToDouble(value2);
// limit the new OptimalValue1 so that it falls within positive or negative unity
if (v2 > .9999)
{
v2 = .9999;
}
if (v2 < -.9999)
{
v2 = -.9999;
}
// Inverse Fisherized value2
// From inverse fisher
//(Math.Exp(2*(double) OptimalValue1[0].Value) - 1)/(Math.Exp(2*(double) OptimalValue1[0].Value) + 1);
double v3 = (Math.Exp(2 * v2) - 1) / (Math.Exp(2 * v2) + 1);
decimal v5 = System.Convert.ToDecimal(v3);
stochCyberCycleInverseFisher.Add(idp(time, v5));
if (barcount == 25)
{
System.Diagnostics.Debug.WriteLine("here");
}
// Fisherized value2
// From Fisher
//Convert.ToDecimal(.5* Math.Log((1.0 + (double) OptimalValue1[0].Value)/(1.0 - (double) OptimalValue1[0].Value)));
decimal v6 = Convert.ToDecimal(.5 * Math.Log((1.0 + v2) / (1.0 - v2)));
//double v4 = .5 * Math.Log((1 + 1.98 * (v2 - .5) / 1 - 1.98 * (v2 - .5)));
//decimal v6 = System.Convert.ToDecimal(v4);
stochCyberCycleFisher.Add(idp(time, v6));
}
else
{
stochCyberCycleValue2.Add(idp(time, 0m));
stochCyberCycleFisher.Add(idp(time, 0));
stochCyberCycleInverseFisher.Add(idp(time, 0));
}
}