Can Topology Prevent Another Financial Crash?
New regulations are applying network science to restructure global finance Source
Data
Creating a dashboard using Python to track critical financial and economic indicators
If you like to dabble in stocks (like me), you are likely conscious about events of high volatility in the market which could lead to massive red days which could further extend to even weeks ...
The High-Low Index. A Simple Contrarian Indicator Worth Using
Presenting & Coding the High-Low Index for Trading in Python. Source
Practical Machine Learning with Scikit-Learn
EDA, feature engineering and preprocessing, pipelines Churn prediction is a common task in predictive analytics. In this article, we will try to predict whether a customer will leave the credit card services of a bank. ...
Farewell RNNs, Welcome TCNs
How Temporal Convolutional Networks are moving in favor of Sequence Modeling — Stock Trend Prediction. Source
Data Anonymization with Autoencoders
How to anonymize the data while preserving its predictive power. Source
Creating a Database with an API (Stock Price Data)
Typically it’s difficult to get high fidelity stock price and volume data via API. Most of the time the stock data services offer daily, weekly, monthly, and/or annual information for stocks. For example, in a ...
A Data Driven Analysis on the Predictive Accuracy of the MACD
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 ...