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Convolutional Neural Networks
Blog posts, case studies, webinar videos and more for using Convolutional Neural Networks to forecast tradable assets. Subscribe to receive weekly updates.
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The Science Behind Stop-Loss & Target Gain – Learn When to Exit a Position
Co-Authored by: Erez M. Katz (CEO & Co-Founder) and Stuart Colianni (Quant)
Selecting Features with Permutation Importance
Authored by: Stuart Colianni / Quantitative Analyst @ Lucena Research.
A Dynamic Labeling Approach for Financial Assets Forecasting
Authored by: Tarun Bhatia, Stuart Colianni, Taylor Korf, and Erez Katz
Clustering for more effective model training
Stuart Colianni, Quantitative Researcher at Lucena Research
Capsule Networks: Next Gen Deep Learning Computer Vision for Stock Forecasting
Erez Katz, CEO and Co-founder of Lucena Research Capsule Networks are a fascinating, relatively new technology for image classification. Compared to CNNs, capsule networks have many benefits and phenomenal potential for image classification tasks, specifically time series forecasting.
Is Your Deep Learning Strategy Robust Enough?
Erez Katz, CEO and Co-founder of Lucena Research. How to test the robustness of a deep learning strategy. Best practices geared to test your quantitative investment strategy before risking capital.
Applying Deep Reinforcement Learning to Trading
Lucena Research Co-Founder Dr. Tucker Balch provides an introduction to machine learning, specifically applying deep reinforcement learning for stock trading.
Forecast Stock Prices Using Convolutional Neural Networks
Erez Katz, CEO and Co-founder of Lucena Research How A Convolutional Neural Net Predicts An Outcome and Forecasts Asset Prices.
Why Deep Reinforcement Learning (DRL) Matters for Trading
Why Deep Reinforcement Learning Matters for Trading Deep learning has traditionally been used for image and speech recognition. The recent growth in alt data, machine learning and accessible computing power have made DRL very desirable for the Financial industry. …