All about Artificial Intelligence and Machine Learning for Banking, Finance and Trading
Arificial Intelligence and Machine Learning for Finance and Banks
TLDR: In stock markets, past performance is not always a good predictor of future returns, and this makes predicting stock prices using machine learning difficult. Nonetheless, you can find my attempt here. *Prerequisite: familiarity with ...
Correlation is a very fundamental and viseral way of understanding how the stock market works and how strategies perform. Modern portfolio theory has made great progress in tying together stock data with portfolio selection. Today, ...
How can machine learning be used to invest? The stock market is known as a place where people can make a fortune if they can crack the mantra to successfully predict stock prices. Though it’s ...
Summary: BigData and DeepLearning are popular buzz words nowadays. But the number of the genuine success stories is relatively small. In trading the BigData technology is mostly associated with automatic analysis of the news and ...
Exploring machine learning and standard crossovers to predict future short-term stock trends with 68% accuracy Have you ever heard people say how much they wish they could go back in time and invest in Apple ...
Portfolio Management is the process of maximizing the return on a portfolio. Portfolio managers make trading decisions on behalf of their clients depending on their appetite for risk. They analyze different assets, their strengths and ...
Feature engineering and Classification model with Python code Predictive model to correctly forecast future trend is crucial for investment management and algorithmic trading. The use of technical indicators for financial forecasting is quite common among ...
The complete guide on predicting the price of “black gold” with less than 0.3% error using Python and Machine Learning What can be more rewarding for a data scientist than being able to predict market ...