1, Do algorithms dream about artificial alphas? / by Michael Kollo
2, Taming big data / by Rado Lipuš and Daryl Smith
3, State of machine learning applications in investment management / by Ekaterina Sirotyuk
4, Implementing alternative data in an investment process / by Vinesh Jha
5, Using alternative and big data to trade macro assets / by Saeed Amen and Iain Clark
6, Big Is beautiful: how email receipt data can help predict company sales / by Giuliano De Rossi, Jakub Kolodziej and Gurvinder Brar
7, Ensemble learning applied to quant equity : gradient boosting in a multifactor framework / by Tony Guida and Guillaume Coqueret
8, A social media analysis of corporate culture / By Andy Moniz
Machine learning and event detection for trading energy futures / by Peter Hafez and Francesco Lautizi
10, Natural language processing of financial news / by M. Berkan Sesen, Yazann Romahi and Victor Li
11, Support vector machine-based global tactical asset allocation / by Joel Guglietta
12, Reinforcement learning in finance / by Gordon Ritter
13, Deep learning in finance : prediction of stock returns with long short-term memory networks / by Miquel N. Alonso, Gilberto Batres-Estrada and Aymeric Moulin