Independent Research
Application Layer to the Financial Markets
Machine Learning Built-in
Data Augmentation
Feature Selection
Model Development
Regime Detection
Risk Analytics
Forecasting
Scientific Research
Research First
Look at industry, academic, and internal research projects for the latest research in machine learning and finance.
Data Gathering
Identify data sources in the public or corporte domain, where not available self-generate the data.
Write Code
Develop the necessary code to replicate the research and academic paper with the acquired or generted dataset.
Dashboard Development
With the rearch, data, and code in hand, develop the best dashboard to convey the deliver the rearch outputs.
Data Engineering
Connect the dasboard, the data, and the code to the necessary cloud service to serve the dashboard in real-time.
Assess and Update
Continuously update based on feedback, monitoring activites, and new developments in the research area.
Built intelligently by alumni of the best ML in Finance institutes
Alan Turing
Machine Learning in Finance
Oxford Man
Institute of Quantitive Finance
Intelligent
Screens
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Anywhere
Audit
Code
Easy User Process
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