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@article{178759,
        author = {ALLU RAJESH and VIMAL DHAMA and NALLAPAREDDY LOKESWAR REDDY and LAGINENI REDDY SAI},
        title = {AI-POWERED CRYPTOCURRENCY TRADING PLATFORM WITH INTEGRATED PAYMENT SYSTEM AND ADVANCED CHART PATTERN RECOGNITION},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {6692-6694},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=178759},
        abstract = {The use of artificial intelligence (AI) in cryptocurrency trading platforms has transformed the way that traders interact with the market. This paper explores the creation of an AI-based trading platform with sophisticated chart pattern recognition and a built-in payment system. Through the use of deep learning algorithms like Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs), the platform automatically identifies key chart patterns, thus increasing the precision of price movement prediction.
The seamless payment system is compatible with a range of transaction options, ensuring effective management of funds. Based on an extensive survey of literature that points to the success of AI models such as Long Short-Term Memory (LSTM) and Support Vector Machines (SVM) in cryptocurrency trading, the report suggests a strong methodology that integrates these models with real-time data analytics. The architecture of the system consists of modules for data acquisition, AI-based pattern recognition, automated trading bots, and robust security protocols. The findings show dramatic enhancements in both trading effectiveness and user experience, though the endemic volatility of the cryptocurrency market means that robust risk management is required. The research highlights the revolutionary capability of AI for financial technology, especially with regards to in cryptocurrency trading.},
        keywords = {},
        month = {May},
        }