Smart contracts are stored on a blockchain and they can reduce costs for financial transactions by circumventing regulatory infrastructure, reduce risk through non-discriminatory execution and enhance transparency in financial transactions. The project addresses the usage of smart contracts, more specifically distributed ledger technology (DLT) for the specific case of ethical finance requirement. It deals with the innovative case of maintaining a log of all transactions in a profit sharing investment account, which adhere to a specific set of ethics. Data analytic methodologies like deep learning, a form of machine learning, can both detect and exploit interactions in large financial data sets that have not yet been taken advantage of by any existing financial economic theory to optimize predictive performance in risk management, portfolio construction and in optimal designing of securities. The research project will analyze the different data analytic approaches that can be used for ethical financial markets. The project also deals with the issue of integrating the developed DLT with existing information systems. The issues addressed by the research project are a pioneer in the ethical finance domain and have far-reaching economic benefits for the conventional financial market too, impacting the nation’s economy as a whole.