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[Feature] Custom Chart Overlays

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Hello All!

Thanks to some JS magic you can now overlay your charts however you'd like :) This means you can do things like:
Top Chart: SPY Price + SPY EMA + Buy-Sell Trades On the Price
Bottom Chart: RSI of the SPY Controlling the Trades

The chart index to controls where on the chart your overlay occurs:
Chart plotter = new Chart("Plotter");
plotter.AddSeries(new Series("EURUSD", SeriesType.Line, index:0));
plotter.AddSeries(new Series("EURUSD-200MA", SeriesType.Line, index:0));
plotter.AddSeries(new Series("Buy", SeriesType.Scatter, index:0));
plotter.AddSeries(new Series("Sell", SeriesType.Scatter, index:0));
plotter.AddSeries(new Series("EURUSD-RSI", SeriesType.Line, index:1));
AddChart(plotter);

Check out the example below:

Happy Coding!
Update Backtest



The material on this website is provided for informational purposes only and does not constitute an offer to sell, a solicitation to buy, or a recommendation or endorsement for any security or strategy, nor does it constitute an offer to provide investment advisory services by QuantConnect. In addition, the material offers no opinion with respect to the suitability of any security or specific investment. QuantConnect makes no guarantees as to the accuracy or completeness of the views expressed in the website. The views are subject to change, and may have become unreliable for various reasons, including changes in market conditions or economic circumstances. All investments involve risk, including loss of principal. You should consult with an investment professional before making any investment decisions.

7 Comments
 
0

The material on this website is provided for informational purposes only and does not constitute an offer to sell, a solicitation to buy, or a recommendation or endorsement for any security or strategy, nor does it constitute an offer to provide investment advisory services by QuantConnect. In addition, the material offers no opinion with respect to the suitability of any security or specific investment. QuantConnect makes no guarantees as to the accuracy or completeness of the views expressed in the website. The views are subject to change, and may have become unreliable for various reasons, including changes in market conditions or economic circumstances. All investments involve risk, including loss of principal. You should consult with an investment professional before making any investment decisions.

You guys rock!
1

Hey QC; I'm having some trouble doing this in python as it's pretty hard to piece things together from the API tab. I'd like to simply plot the price of something (let's say SPY). Could you possibly post the python equivilent of this?

Thank You!

0

Hi Luke, i'm also interested in this via python but i see noone has replied.  is there a guide out there? 

1

I agree to say that it would be great to be able to do this in Python or to know how one can do it because when creating custom indicators, we would need to have a visual result of what we created. 

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Here is a similar example in Python based on the sample MACDTrendAlgorithm. The original script produces two additional graphs to plot indicators with:

self.PlotIndicator("MACD", True, self.__macd, self.__macd.Signal)
self.PlotIndicator("SPY", self.__macd.Fast, self.__macd.Slow)

The QCAlgorithm's PlotIndicator method is great to plot an indicator quickly, but of course it won't allow you to do the overlay. 

To create a plot which shows the SPY price with buy/sell signals at the top, along with the MACD indicator at the bottom, I added the following in the Initialize method:

overlayPlot = Chart("Overlay Plot")
overlayPlot.AddSeries(Series("SPY", SeriesType.Line, 0))
overlayPlot.AddSeries(Series("Buy", SeriesType.Scatter, 0))
overlayPlot.AddSeries(Series("Sell", SeriesType.Scatter, 0))
overlayPlot.AddSeries(Series("MACD", SeriesType.Line, 1))
overlayPlot.AddSeries(Series("MACD_Signal", SeriesType.Line, 1))
self.AddChart(overlayPlot)

The first line creates a new custom chart. Each AddSeries call specifies the name of a series (we use this to add points later), its type, and finally the index in the chart (index=0 series will be plotted in the top subplot and index=1 series in the bottom subplot). Finally, calling AddChart on the QCAlgorithm adds it to the backtesting output. 

In the OnData method, I added:

if buy_signal_triggered:
self.Plot("Overlay Plot", "Buy", data["SPY"].Value)
elif sell_signal_triggered:
self.Plot("Overlay Plot", "Sell", data["SPY"].Value)
self.Plot("Overlay Plot", "SPY", data["SPY"].Value)
self.Plot("Overlay Plot", "MACD", self.__macd.Current.Value)
self.Plot("Overlay Plot", "MACD_Signal", self.__macd.Signal.Current.Value)

which adds a point to each series on every bar. buy_signal_triggered and sell_signal_triggered are just for having all the plotting in the same place.

Enjoy!

(Note the preview below will show the Overlay Plot compressed)

0

HI Juraj, 

Can you show me what i'm doing wrong? 

at OnData in main.py:line 107

TypeError : No method matches given arguments for Plot

0

Hi apollos_hill, you need the Current.Value to obtain the indicator value. Check the attached algorithm.

0
Update Backtest



0

The material on this website is provided for informational purposes only and does not constitute an offer to sell, a solicitation to buy, or a recommendation or endorsement for any security or strategy, nor does it constitute an offer to provide investment advisory services by QuantConnect. In addition, the material offers no opinion with respect to the suitability of any security or specific investment. QuantConnect makes no guarantees as to the accuracy or completeness of the views expressed in the website. The views are subject to change, and may have become unreliable for various reasons, including changes in market conditions or economic circumstances. All investments involve risk, including loss of principal. You should consult with an investment professional before making any investment decisions.

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