All about Artificial Intelligence and Machine Learning for Banking, Finance and Trading
Arificial Intelligence and Machine Learning for Finance and Banks
In our daily lives we interact with chatbot customer services, e-mail spam detections, voice recognition, language translation, or stock market predictions. These artificial intelligence products are powered by Recursive Neural Network (RNN), Long Short-Term Model ...
Forecasting Stock Prices with Neural Networks containing Multivariable Inputs from Technical Analysis Source
When you get started with machine learning, you learn to use linear regression to predict numeric values and logistic regression to predict binary variables. You then learn several other popular methods: Nearest neighbors, support vector ...
The MACD is a momentum-focused price indicator. It utilizes the exponential moving averages of the last 12 and 26 days’ closing price to predict future trends. After analyzing the historical data of over a thousand ...
Predicting gradients for given shares Source
Time Series Forecasting methods including Simple Moving Average, Linear Regression, k-Nearest Neighbors, Auto ARIMA, Prophet, Long Short Term Memory Source
Is Apple Stock Overvalued? Just Enter the Ticker and Let Python decide Automatically! Source
Stocks and Machine Learning — a combination made in heaven. But are things as easy as they appear to be? Source
Stock prediction is a difficult task because the data generated is enormous and is highly non-linear. Modeling such dynamical data require effective modeling technique which can analyze the hidden patterns and underlying dynamics. Neural network ...