Challenges of Financial Machine Learning
It is extraordinarily difficult to succeed in financial machine learning. That’s why we started PredictNow.ai, a financial machine learning SaaS. You can use either our no-code interface or our API.
We highlight some of the difficulties of financial ML below. and how PredictNow.ai can help your investment management practice overcome them.
The Leadership
Sudarshan Sawal,
Product Manager
Sudarshan is working as a Product Manager at PredictNow.ai while pursuing MSc in Economics and BE in Electronics Engineering….
Our Customer Reviews
We’re big fans of Dr. Chan and have had success with ensemble forecasting for a number of years, but have struggled with incorporating all of our IP. The Predict Now applications allow us to finally leverage our entire proprietary factor database for intraday forecasting of equities and commodities. Initial out-of-sample results are quite promising.
We utilized Predictnow to forecast the behaviour of financial time series on the basis of several metrics; we found the system highly effective and its results were indeed proved right by double checking with other systems.
This is by far the most efficient way to digest your data and produce interpretable machine learning results I have ever seen.
I worked with Ernie and Radu as a client on a project using PredictNow.ai. Both researchers are uniformly dedicated to their science. They are fastidious in the development of their software and unrelenting in their diligence towards satisfying their clients.
Dr Chan is unique in that he is able to parse the most complicated issues and explain that in a way that many will be able to understand. The PredictNow platform is the latest in his suite of products that adds another string to our bow and we have been using it for our strategies. Both Dr Chan and Radu have been incredibly helpful to address and answer any questions we had and we felt at no point that we were left alone to figure it out for ourselves. Top marks for a top team.