Situation
A mid-size money management company wanted to develop a data solution to detect patterns in equity prices to determine entry and exit criteria. They further desired to enhance their decision-making process by leveraging probabilistic and predictive capabilities. Their current IT systems, including proprietary algorithms, were not scalable. They were very keen to modernize their data solution but wanted a self-service capability to retain their algorithms and be able to leverage them in making investment decisions
Solution
- Leveraging APIs to extract data from trading platforms a repository of prices movements was created in a cloud environment
- Predictive and simulation algorithms were developed along with technical indicators to process real-time data in forecasting price movements and signals
- Interactive dashboards were developed with real-time data, depicting patterns with key technical indicators
- A secured self service capability was created for individuals to run their proprietary algorithms in making decisions
