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معرفی کتاب «تحلیل داده های مالی با پایتون» به انگلیسی «Data Analytics for Finance Using Python»
یک کتاب جمع و جور برای علاقه مندان به تحلیل داده های مالی
عناوین فصل های کتاب عبارتند از :
Chapter 1: Portfolio management by applying
K-means clustering
Chapter 2: Predicting stock price using the ARIMA model
Chapter 3: Stock investment strategy using a logistic regression
Chapter 4: Predicting the stock buying and selling decisions
Chapter 5: The random forest technique
Chapter 7: Descriptive statistics for stock risk analysis
Chapter 8: Stock prediction using a multiple regression model
Chapter 9: F-test for stock risk assessment
Chapter 10: T-test for stock risk assessment
Chapter 11: Z-test for stock risk assessment
Chapter 12: Support vector machine for stock
prediction
Chapter 13: Stock risk analysis by visualization
Chapter 14: NLP for sentiment analysis for stock
Chapter 15: LSTM for stock price prediction

#معرفی_کتاب
#پایتون_مالی

پایتون برای مالی

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معرفی کتاب «تحلیل داده های مالی با پایتون» به انگلیسی «Data Analytics for Finance Using Python»
یک کتاب جمع و جور برای علاقه مندان به تحلیل داده های مالی
عناوین فصل های کتاب عبارتند از :
Chapter 1: Portfolio management by applying
K-means clustering
Chapter 2: Predicting stock price using the ARIMA model
Chapter 3: Stock investment strategy using a logistic regression
Chapter 4: Predicting the stock buying and selling decisions
Chapter 5: The random forest technique
Chapter 7: Descriptive statistics for stock risk analysis
Chapter 8: Stock prediction using a multiple regression model
Chapter 9: F-test for stock risk assessment
Chapter 10: T-test for stock risk assessment
Chapter 11: Z-test for stock risk assessment
Chapter 12: Support vector machine for stock
prediction
Chapter 13: Stock risk analysis by visualization
Chapter 14: NLP for sentiment analysis for stock
Chapter 15: LSTM for stock price prediction

#معرفی_کتاب
#پایتون_مالی

پایتون برای مالی

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

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Telegram auto-delete message, expiring invites, and more

elegram is updating its messaging app with options for auto-deleting messages, expiring invite links, and new unlimited groups, the company shared in a blog post. Much like Signal, Telegram received a burst of new users in the confusion over WhatsApp’s privacy policy and now the company is adopting features that were already part of its competitors’ apps, features which offer more security and privacy. Auto-deleting messages were already possible in Telegram’s encrypted Secret Chats, but this new update for iOS and Android adds the option to make messages disappear in any kind of chat. Auto-delete can be enabled inside of chats, and set to delete either 24 hours or seven days after messages are sent. Auto-delete won’t remove every message though; if a message was sent before the feature was turned on, it’ll stick around. Telegram’s competitors have had similar features: WhatsApp introduced a feature in 2020 and Signal has had disappearing messages since at least 2016.

China’s stock markets are some of the largest in the world, with total market capitalization reaching RMB 79 trillion (US$12.2 trillion) in 2020. China’s stock markets are seen as a crucial tool for driving economic growth, in particular for financing the country’s rapidly growing high-tech sectors.Although traditionally closed off to overseas investors, China’s financial markets have gradually been loosening restrictions over the past couple of decades. At the same time, reforms have sought to make it easier for Chinese companies to list on onshore stock exchanges, and new programs have been launched in attempts to lure some of China’s most coveted overseas-listed companies back to the country.

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