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The blockchain has continued to showcase myriads of promises as a breakthrough tech and highly adapted in manifold sectors. Its adoption is accompanied by a range of issues that make implementation complicated. To aid successful implementation, a variety of frameworks have been developed. But, selecting the appropriate framework based on the conformity of its features with the financial sector is a challenge for decision-makers. This study seeks to provide solution to the challenge of synchronizing entire blockchain in a minimum possible time, and create a Blockchain Technology Framework for pricing and Evaluating Financial Markets and also simulate the cryptocurrency market data using a neural network based application to generate the optimal prediction and predicting the future of investment by fusing the facial recognition system with the framework. [ABSTRACT FROM AUTHOR]