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برخی تحلیل ها نشان دهنده این است که سال آینده سال کامودیتی‌هاست. علاوه بر فلزات گرانبها که نقش بسیار مهمی در پوشش ریسک دارند، سال آینده احتمالا شاهد تحرکات زیادی در فلزات کاربردی مانند مس خواهیم بود.
در مثال این پست قیمت مس و طلا برای 4 ماه گذشته رسم می شود.

#code by @python4finance
import yfinance as yf
import pandas as pd
import matplotlib.pyplot as plt
plt.style.use("ggplot")

gold_data = yf.download("GC=F",period="4Mo", multi_level_index=False)
copper_data = yf.download("HG=F" ,period="4Mo", multi_level_index=False)

gold_data['Close'].plot(label='Gold', color='gold' , figsize=(16, 6))
copper_data['Close'].plot( secondary_y=True, label='Copper', color='brown')
copper_data['Close'].rolling(10).mean().plot( secondary_y=True, label='Copper MA', color='green', style='--')
plt.xlabel('Date')
plt.ylabel('Price')
plt.title('Gold and Copper Prices')
plt.legend()
plt.show()


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برخی تحلیل ها نشان دهنده این است که سال آینده سال کامودیتی‌هاست. علاوه بر فلزات گرانبها که نقش بسیار مهمی در پوشش ریسک دارند، سال آینده احتمالا شاهد تحرکات زیادی در فلزات کاربردی مانند مس خواهیم بود.
در مثال این پست قیمت مس و طلا برای 4 ماه گذشته رسم می شود.

#code by @python4finance
import yfinance as yf
import pandas as pd
import matplotlib.pyplot as plt
plt.style.use("ggplot")

gold_data = yf.download("GC=F",period="4Mo", multi_level_index=False)
copper_data = yf.download("HG=F" ,period="4Mo", multi_level_index=False)

gold_data['Close'].plot(label='Gold', color='gold' , figsize=(16, 6))
copper_data['Close'].plot( secondary_y=True, label='Copper', color='brown')
copper_data['Close'].rolling(10).mean().plot( secondary_y=True, label='Copper MA', color='green', style='--')
plt.xlabel('Date')
plt.ylabel('Price')
plt.title('Gold and Copper Prices')
plt.legend()
plt.show()


پایتون برای مالی

🆔 www.tg-me.com/in/Python4Finance/com.python4finance
🆔 ble.ir/in/Python4Finance/com.python4finance

BY Python4Finance




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The global forecast for the Asian markets is murky following recent volatility, with crude oil prices providing support in what has been an otherwise tough month. The European markets were down and the U.S. bourses were mixed and flat and the Asian markets figure to split the difference.The TSE finished modestly lower on Friday following losses from the financial shares and property stocks.For the day, the index sank 15.09 points or 0.49 percent to finish at 3,061.35 after trading between 3,057.84 and 3,089.78. Volume was 1.39 billion shares worth 1.30 billion Singapore dollars. There were 285 decliners and 184 gainers.

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