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Therefore it is highly important to choose the input data and to calibrate the Neural Net. Nelson and Illingworth outline 8 steps on designing a neural net.

1. Variable Selection
2. Data Collection
3. Data Processing
4. Training, Testing and Validation Set
5. Neutal Network Paradigms:

• Number of Hidden Layers

1. Stephen Smith's Blog
2. Stock Market Prediction Using Multi-Layer Perceptrons With TensorFlow
3. Stock Price Prediction using LSTM
4. TensorFlow machine learning with financial data on Google Cloud Platform
5. Tensor-Based Learning for Predicting Stock Movements
6. Rise Of Automated Trading: Machines Trading S&P 500
7. My experiments with machine learning for stock market trend prediction?
8. [Deep Learning for Event-Driven Stock Pre