New Additions to the PredictNow.ai Factor Zoo
By Akshay Nautiyal and Ernest Chan This has been a summer of feature engineering for PredictNow.ai. First,...
Metalabeling and the duality between cross-sectional and time-series factors
Features are inputs to supervised machine learning (ML) models. In traditional finance, they are typically called “factors”,...
Introducing: Pre-engineered Stock Fundamental Features at Predictnow.ai
Predictnow.ai is pleased to announce the launch of our new pre-engineered stock fundamental features. These features are...
Predicting Profitability: Introducing PredictNow.Ai a Live Machine Learning Tool to Alpaca
What is PredictNow.Ai? PredictNow.ai is a no-code machine learning SaaS-based in Toronto, Canada that is primarily focused...
Conditional Parameter Optimization: Adapting Parameters to Changing Market Regimes
By: Ernest Chan, Sergei Belov, and Radu Ciobanu Every trader knows that there are market regimes that...
The Amazing Efficacy of Cluster-based Feature Selection
One major impediment to widespread adoption of machine learning (ML) in investment management is their black-box nature:...
What is the Probability of Profit of your Next Trade? (Introducing...
What is the probability of profit of your next trade? You would think every trader can answer...
Why Does our Tail Reaper Program Work in Times of Market...
I generally don’t like to write about our investment programs here, since the good folks at the National Futures...
US Nonfarm Employment Prediction Using RIWI Corp. Alternative Data
Introduction The monthly US nonfarm payroll (NFP) announcement by the United States Bureau of Labor Statistics (BLS)...
Experiments with GANs for Simulating Returns (Guest post)
By Akshay Nautiyal, Quantinsti Simulating returns using either the traditional closed-form equations or probabilistic models like Monte Carlo...