Applying KNN to stock price prediction
How to apply KNN (K-nearest_neighbors) algorithms to predict future stock price movements. How to combine KNN, score normalization and and Ensemble techniques for trading predictions.
See my newer work for a Quantized Classifier. It is much faster than KNN and can deliver comparable or better results in many situations. The code is freely available on BitBucket and I released it under MIT license so it is safe to use in commercial projects. I hope you will buy our consulting services to help solve your problems but feel free to use the code anyway. There is also free code showing how to read and classify machine learning CSV files using Deep Learning from TensorFlow. Continue reading “KNN and Ensemble for stock price prediction”