Quantopian
Man and Machine Need Each Other – Systematica CEO
“The errors made by humans and robots are different,” says Leda Braga
Data Cost Management 2.0: New Tricks for Old Dogs
Data is the third-largest expense for the financial industry, so firms are getting creative when it comes to cost control.
Fool’s Gold: Data Mining Digs Up Explosive Errors
Recent studies reveal the prevalence of poor-quality data, exacerbated by increased use of machine learning that allows users to dredge far bigger datasets and identify spurious correlations.
Hard Labor: Dealing With Alternative Data
Everyone’s excited about the potential untapped alpha promised by “alternative data,” yet those who work with it are far from excited about the prospect of evaluating unwieldy and unstructured datasets. Max Bowie looks at the practical challenges of…
Alternative Data’s Hard Labor
Faye Kilburn investigates quantitative funds' attempts to sift gold from the torrent of alternative datasets.
SigOpt's Machine Learning Looks to Improve Big Banks' Fraud Detection
The San Francisco-based vendor uses Bayesian techniques to improve the modeling and research processes.
SigOpt's Machine Learning Draws Wall Street Attention
The San Francisco-based vendor uses Bayesian techniques to improve the modeling and research processes.
Quantopian Snags Larkin As Chief Investment Officer
Larkin will oversee investment into the vendor's community of algo writers
Quantopian Broadens Access, Adds IEX
Online trading platform Quantopian has announced that it will open up to all investors for its pubic beta, and not just the investment banks and hedge funds that were given access during its pilot period.
