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
Impact
Real time monitoring of price movements and pattern detections
Self Service capability to develop and leverage algorithms by different individuals and teams
Probabilistic and directional prediction of price movements in determining entry and exit decisions