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I am following the sample research environment example as given at
spy = qb.AddEquity("SPY")
h1 = qb.History(qb.Securities.Keys, 360, Resolution.Daily)
h1.loc["SPY"]["close"].plot()
I wanted to plot candle stick pattern instead of the linechart.
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It is possible to create candlestick patterns using the library matplotlib.finance. The process of acquiring the historical data will remain the same so that can the dataframe it provides. In the attached project the method call matplotlib.finance.candlestick2_ohlc() produces the candlesticks. The matplotlib.finance documentation online goes into deeper detail on how to set up the candlestick structure.
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Hi Jon,
matplotlib.finance has undergone some changes recently (see this link here) and we will be updating the foundation for the Research Environment. You can follow this issue in GitHub here to see the progress and when we implement a fix.
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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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