Dynamic Flow Network 3
No trial-and-error feature engineering. No random model tuning.
Build a forecast model that learns and evolves directly from raw data.
Can Behavioural Forecast be applied to demand prediction?
“In my 20 years of experience with retail, I’ve never found anyhing similar to AssetFloow.”
Hirota Food, Brazilian supermarket
“AssetFloow's ability to work with 80+ million rows of sales data and forecast store requirements with 93.74% accuracy is a testament to its power in providing data driven decision-making and operational eficiency.”
Wincanton, UK logistics provider
Can Behavioural Forecast be applied to the stock market?
In this research, we trained a DFN-3 model with Open and Close prices of 3482 NASDAQ stocks, using data from 2018 up to today. The goal was to find if there are temporal micro-paterns that can help predict with high accuracy the prices of any stock, over the nex 30 days.