Category: Blog

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,...

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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”,...

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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...

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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...

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Conditional Parameter Optimization: Adapting Parameters to Changing Market Regimes

Every trader knows that there are market regimes that are favorable to their strategies, and other regimes...

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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:...

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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...

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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...

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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)...

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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...

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