alternative data

The Trading Ranges strategy was developed by Futures Magazine data science team to supplement active trader entry and exit levels in futures and commodity markets. 
The Trading Ranges strategy was developed by Futures Magazine data science team to supplement active trader entry and exit levels in futures and commodity markets. 
The Trading Ranges strategy was developed by Futures Magazine data science team to supplement active trader entry and exit levels in futures and commodity markets. 
The Trading Ranges strategy was developed by Futures Magazine data science team to supplement active trader entry and exit levels in futures and commodity markets. 
The Trading Ranges strategy was developed by Futures Magazine data science team to supplement active trader entry and exit levels in futures and commodity markets. 
Powerful Natural Language Processing (NLP) solution for asset managers to discover actionable insight from unstructured data acquired.
BattleFin will bring together top Artificial Intelligence and Alternative Data Providers to showcase the latest in new data sets being used to create alpha.
M Science, is a pioneer and leader in providing alternative data solutions to supplement core data in investment research.
Research is considered a very important part of the value-added by portfolio managers. Huge costs of structuring a research department require most firms to buy research from the sell side (investment banks and brokers). In-house research teams also like to supplement their research with alternative views from the sell side.
The goal in trading is to get ahead of the herd. It’s best to anticipate what’s going to happen in the next five to 60 days and focus on major events. Is the top analyst going to upgrade a stock before earnings? Will global macro traders try to position hawkish or dovish around the next FOMC statement? Will the next crop report show more supply or demand? These are the questions; the answers to which will move markets.