/// <summary>
/// Called on each bar update event (incoming tick)
/// </summary>
protected override void OnBarUpdate()
{
double cup = 0;
double cdn = 0;
lf.Update();
for (int i = 0; i < (len - 1); ++i)
{
var diff = lf.filtered(i) - lf.filtered(i + 1);
if (diff >= 0)
{
cup += diff;
}
else
{
cdn += -diff;
}
}
if ((cup + cdn) > 0)
{
Value.Set(cup / (cup + cdn));
}
}
/// <summary>
/// Called on each bar update event (incoming tick)
/// </summary>
protected override void OnBarUpdate()
{
lf.Update();
double favg = 0;
double savg = 0;
for (int i = 0; i < fastLen; ++i)
{
favg += lf.filtered(i);
}
savg = favg;
for (int i = fastLen; i < slowLen; ++i)
{
savg += lf.filtered(i);
}
savg /= slowLen;
favg /= fastLen;
double diff = favg - savg;
// Use this method for calculating your indicator values. Assign a value to each
// plot below by replacing 'Close[0]' with your own formula.
MACDVal.Set(diff);
if (CurrentBar > 1)
{
TriggerVal.Set(TriggerVal[1] + (2.0 / (trigger + 1.0)) * (diff - TriggerVal[1]));
HistogramVal.Set(diff - TriggerVal[0]);
}
else
{
TriggerVal.Set(diff);
HistogramVal.Set(0);
}
}
/// <summary>
/// Called on each bar update event (incoming tick)
/// </summary>
protected override void OnBarUpdate()
{
double value1 = 0.0;
double value2 = 0.0;
o.Update();
h.Update();
l.Update();
c.Update();
for (int i = 0; i < len; ++i)
{
value1 += (c.filtered(i) - o.filtered(i));
value2 += (h.filtered(i) - l.filtered(i));
}
if (value2 != 0.0)
{
unsmoothed.Set(100.0 * value1 / value2);
}
else
{
if ((CurrentBar > 1) && unsmoothed.ContainsValue(1))
{
unsmoothed.Set(unsmoothed[1]);
}
else
{
unsmoothed.Set(0);
}
}
if (weightma == null)
{
weightma = WMA(unsmoothed, smoothing);
expma = EMA(weightma.Value, trigger);
}
ECO.Set(weightma[0]);
TriggerLine.Set(expma[0]);
Histogram.Set(weightma[0] - expma[0]);
}