Trade X- Educative Trading Platform For Novice Traders Using Deep Learning
Abstract
This research paper delves into the development, functionality, and impact of Trade-X, an innovative trading education and analysis platform designed to empower novice traders. The study takes a user-centered approach by combining quantitative analysis of user interactions with qualitative evaluation of educational content and analytical tools. Through systematic evaluation, the research investigates the effectiveness of the platform in enhancing users' trading skills, understanding market dynamics, and making informed investment decisions. The findings highlight the significance of integrating educational modules, real-time market analysis, and community engagement features in fostering a holistic learning environment. Additionally, the paper explores the implications of predictive analysis tools and user-friendly interfaces on user satisfaction and trading outcomes.Metrics
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Published
2024-01-07
How to Cite
Bachhav, D. G. V. ., Shaikh, D. .Alam N. ., Shaikh, M. .Aryan ., & shaikh, M. A. . (2024). Trade X- Educative Trading Platform For Novice Traders Using Deep Learning. Migration Letters, 21(S2), 1575–1582. Retrieved from https://migrationletters.com/index.php/ml/article/view/8001
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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
CC Attribution-NonCommercial-NoDerivatives 4.0