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טופס פרויקט
Investor Pro
15005811
:מספר הפרויקט
שחר פטרן ישי בלש יותם פלאוט
:שמות הסטודנטים המציגים
מר זוין עופר-שמשון
:שם המנחה
פיתוח מודלים פיננסים ופינטק
:שם הסדנה
מסלול יישומי/יזמי
:מסלול הסדנה
:GitHub
פוסטר
מצגת
:תקציר הפרויקט
Our project aims to provide a comprehensive solution for users in the finance domain, particularly those interested in the Israeli Stock Market. By leveraging cutting-edge technologies such as machine learning and deep learning, our application empowers users to access a wealth of stock data, statistical analysis, and predictive models. Through intuitive interfaces, users can seamlessly save their asset allocations and portfolio details, enabling them to make informed, data-driven decisions regarding their investments. Whether it's understanding market trends, assessing risk factors, or predicting future performance, our platform equips users with the tools they need to navigate the complexities of the financial landscape with confidence.
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