About Us
We started delecta in 2017 because we enjoy developing novel solutions that result in exponential technologies. In 2017, our founders realized that there is a substantial market for innovative and customized machine learning algorithms that can handle asset management (from generating trading signals, to choosing a basket of stocks and portfolio management). We have put together a world-class research and development team that enables us to meet our high standards. While benefiting from analytically strong and agile individuals, we strongly believe that individuals do not make a difference, teams do. In delecta, we are committed to creating a thriving and respectful environment and culture for our teammates. Our culture enables our venture to provide an exceptional experience for our customers as well and helps us build a lifelong relationship with them that benefits them and us.
1. Opalesque, The Opalesque 2017 France Roundtable,
2. The Economist, Hedge funds embrace machine learning up to a point.
2. The Economist, Hedge funds embrace machine learning up to a point.
While everyone now talks about using AI and Machine Learning in capital markets, we believe we are one of the “very few [who] actually do it”1. Because of comparative paucity of financial data (market price time-series) algorithms that are trained on these data are prone to finding peculiar patterns that do not hold up in the wider world2. This problem is known as “over-fitting”, resulting in the poor predictive power of the algorithms and unreliable solutions. We are harnessing the power of artificial intelligence to make better investment decisions for trading in financial markets by inferring patterns that are extendable to future and are robust. delecta’s predictive models for market trends, backed by machine learning, mathematical modeling, and statistical analysis and equipped with optimized game theory strategies, generate market trend signals in a consistent and reliable manner. We are experts at making robust models that do not “over-fit”.
