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10 مقاله برای کمک به یافتن موضوعاتی برای پایان نامه‌ و رساله در حیطه علم داده مالی
خیلی از دوستان در پیام خصوصی درخواست موضوعاتی برای رساله یا پایان نامه دارند. عناوین برخی مقالات که به نظرم می توانند برای نوشتن یک پایان نامه یا رساله در این خصوص استفاده شوند را در ادامه با شما به اشتراک می گذارم.

1️⃣ Leveraging machine learning in the global fight against money laundering and terrorism financing: An affordances perspective
2️⃣Applying machine learning algorithms to predict default probability in the online credit market
3️⃣Forecasting SMEs' credit risk in supply chain finance with an enhanced hybrid ensemble machine learning approach
4️⃣Machine learning algorithms for fraud prediction in property insurance: Empirical evidence using real-world microdata
5️⃣Detecting stock market manipulation via machine learning: Evidence from China Securities Regulatory Commission punishment cases
6️⃣Development of financial option pricing system based on fpga and machine learning
7️⃣Venture capital decision based on FPGA and machine learning
8️⃣Sentiment-influenced trading system based on multimodal deep reinforcement learning
9️⃣Reinforcement learning about asset variability and correlation in repeated portfolio decisions
🔟 Usage of machine learning methods for early detection of money laundering
schemes

#پایان_نامه
#رساله
#انتخاب_موضوع
#پایتون_مالی

عضویت در کانال پایتون برای مالی در تلگرام 👇👇👇
https://www.tg-me.com/joinchat-AAAAAFGMkouqbsb86Vfzug
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10 مقاله برای کمک به یافتن موضوعاتی برای پایان نامه‌ و رساله در حیطه علم داده مالی
خیلی از دوستان در پیام خصوصی درخواست موضوعاتی برای رساله یا پایان نامه دارند. عناوین برخی مقالات که به نظرم می توانند برای نوشتن یک پایان نامه یا رساله در این خصوص استفاده شوند را در ادامه با شما به اشتراک می گذارم.

1️⃣ Leveraging machine learning in the global fight against money laundering and terrorism financing: An affordances perspective
2️⃣Applying machine learning algorithms to predict default probability in the online credit market
3️⃣Forecasting SMEs' credit risk in supply chain finance with an enhanced hybrid ensemble machine learning approach
4️⃣Machine learning algorithms for fraud prediction in property insurance: Empirical evidence using real-world microdata
5️⃣Detecting stock market manipulation via machine learning: Evidence from China Securities Regulatory Commission punishment cases
6️⃣Development of financial option pricing system based on fpga and machine learning
7️⃣Venture capital decision based on FPGA and machine learning
8️⃣Sentiment-influenced trading system based on multimodal deep reinforcement learning
9️⃣Reinforcement learning about asset variability and correlation in repeated portfolio decisions
🔟 Usage of machine learning methods for early detection of money laundering
schemes

#پایان_نامه
#رساله
#انتخاب_موضوع
#پایتون_مالی

عضویت در کانال پایتون برای مالی در تلگرام 👇👇👇
https://www.tg-me.com/joinchat-AAAAAFGMkouqbsb86Vfzug

BY Python4Finance


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Pinterest (PINS) Stock Sinks As Market Gains

Pinterest (PINS) closed at $71.75 in the latest trading session, marking a -0.18% move from the prior day. This change lagged the S&P 500's daily gain of 0.1%. Meanwhile, the Dow gained 0.9%, and the Nasdaq, a tech-heavy index, lost 0.59%. Heading into today, shares of the digital pinboard and shopping tool company had lost 17.41% over the past month, lagging the Computer and Technology sector's loss of 5.38% and the S&P 500's gain of 0.71% in that time. Investors will be hoping for strength from PINS as it approaches its next earnings release. The company is expected to report EPS of $0.07, up 170% from the prior-year quarter. Our most recent consensus estimate is calling for quarterly revenue of $467.87 million, up 72.05% from the year-ago period.

The Singapore stock market has alternated between positive and negative finishes through the last five trading days since the end of the two-day winning streak in which it had added more than a dozen points or 0.4 percent. The Straits Times Index now sits just above the 3,060-point plateau and it's likely to see a narrow trading range on Monday.

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