With version 1, we just published snapshots from research projects. With version 2, research is dynamically generated based on custom settings set by the user
http://stonk-researcher.herokuapp.com/Overview and analysis of financial markets
Examined predictability of future prices based on candlestick patterns
Used supervised and unsupervised learning to build a robust labeling system that was used to enhance an AI based trading strategy (while also increasing explainability)
Used cloud computing to test a large number of parameters for a neural network based trading system. Research included comparing various model architectures such as Convolutional Neural Networks (CNNs), Encoder/Decoders, LSTMs, Transformers and ensembles
Created tools for generating synthetic data for use in building chart labeling AI models