Case Study: a leading fintech firm optimizes portfolio management with Ezappsolution's AI analytics and portfolio optimization

AI Analytics & Portfolio Management AI Forecasting

Leading Fintech Firm, a fintech company based in Singapore, needed AI-driven portfolio rebalancing and automation because its earlier quantitative trading approach did not provide enough business intelligence to optimize portfolios. It faced challenges from market risk, liquidity risk, credit risk, and real-time sentiment shifts affecting trading decisions.

Ezappsolution built an AI portfolio optimization and sentiment analysis platform using TensorFlow, Keras, Python, AWS, MongoDB, and Django, including an AI recommender system for buy/sell/hold decisions, heat maps, and trading automation. The solution helped optimize portfolio management, increase revenue, reduce stop loss with RNN and deep learning models, and automate trading queries through an AI bot.