دریافت اطلاعات شاخص کل و مقایسه همبستگی شاخص کل با نماد شستا (مثال) در مثال این پست که بر اساس ماژول tsemodule5 نوشته شده است، اطلاعات شاخص و نماد شستا برای 50 روز اخیر دریافت و رسم می شود و همبستگی میان آنها نمایش داده می شود. import tsemodule5 as tm5 import matplotlib.pyplot as plt import pandas as pd plt.style.use("ggplot") tehranindex=tm5.index(value=50,progress=False) shasta = tm5.stock("شستا",value=50,progress=False,standard=True,newfile=True) df=pd.DataFrame({"tehranindex":tehranindex["Close"],"shasta":shasta["Close"]},index=tehranindex.index) df["tehranindex"].plot(figsize=(15,6),label="Tehran Index") df["shasta"].plot(secondary_y=True,label="Shasta Stock") print("Correlation is:",round(df.corr().iloc[0,1],2)*100,"%") plt.legend() plt.show()
دریافت اطلاعات شاخص کل و مقایسه همبستگی شاخص کل با نماد شستا (مثال) در مثال این پست که بر اساس ماژول tsemodule5 نوشته شده است، اطلاعات شاخص و نماد شستا برای 50 روز اخیر دریافت و رسم می شود و همبستگی میان آنها نمایش داده می شود. import tsemodule5 as tm5 import matplotlib.pyplot as plt import pandas as pd plt.style.use("ggplot") tehranindex=tm5.index(value=50,progress=False) shasta = tm5.stock("شستا",value=50,progress=False,standard=True,newfile=True) df=pd.DataFrame({"tehranindex":tehranindex["Close"],"shasta":shasta["Close"]},index=tehranindex.index) df["tehranindex"].plot(figsize=(15,6),label="Tehran Index") df["shasta"].plot(secondary_y=True,label="Shasta Stock") print("Correlation is:",round(df.corr().iloc[0,1],2)*100,"%") plt.legend() plt.show()
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However, analysts are positive on the stock now. “We have seen a huge downside movement in the stock due to the central electricity regulatory commission’s (CERC) order that seems to be negative from 2014-15 onwards but we cannot take a linear negative view on the stock and further downside movement on the stock is unlikely. Currently stock is underpriced. Investors can bet on it for a longer horizon," said Vivek Gupta, director research at CapitalVia Global Research.
