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In the present economic scenario, money plays a vital role as edge money is essential to meet out the crisis in the future. The main focus of this study is to evaluate the role of Artificial Intelligence (AI) in the transformation of the global services industry known as Financial Technology (FinTech) in a faster pace. A highly competent and accessible FinTech services offered by AI, the challenges it encounters during the transformation, and guidance for policies of AI and FinTech services are the areas that are being addressed in this research paper. The aim of saving money is to invest it in some FinTech products and services to get more returns in a long span. However, there is more chaos among individuals in gaining knowledge. It is also time-consuming because of the investors' inability to process the available information-one of the issues that demand investigation using the AI techniques in Stock Market (SM) prediction. Predicting and modelling the future price of a Stock Market Index (SMI) by applying AI techniques on the basis of its historical price information is the prime goal of this research study. Besides, possessing a comprehensive idea of the existing investment options is also essential to making good financial investment decisions. The results show that various B Ravi Kumar Bommisetti

Blockchain, which is at the heart of bitcoin and other digital currencies, is a game-changing technology, particularly in the stock market and financial technology. These characteristics make blockchain adoption appealing for enhancing information security, privacy and reliability in a variety of scenarios. This article develops the trust with reputation-based management for the financial stock market. Here distributed ledger technology (DLT) has been integrated for implementing the ledger in which data is stored across a network of decentralized nodes. By this, proof-based ledger has been maintained with transparency, traceability and security. DLT here used is based on trust design in mitigating the malicious activities of the financial stock marketing technology. Then using Bayesian theory based on the fault tolerance (BDLT_FT) model has been used in improving the efficiency of DLT and financial technology. This acts as the protocol which reduces energy consumption and enhance network scalability and security in digital transactions like cryptocurrency The financial data related to blockchain cryptocurrency were collected between the time period 2000 and 2020. The dataset of the stock market is evaluated under the fault tolerance model with statistical analysis. The statistical evaluation of financial data with developed BDLT_FT expressed that there is no association between the fault tolerance and the classification error.