All about Artificial Intelligence and Machine Learning for Banking, Finance and Trading
Arificial Intelligence and Machine Learning for Finance and Banks
Stock trading models can look enticing, testing them against historical data often reveals a less promising reality. And sometimes the output of a model is itself material for a model with curious correlation to actual ...
Coding and Back-testing an Objective Systematic Breakout Strategy Source
In the world of deep learning, no matter how cutting edge your models may be, you don’t get very far without well understood and clean data. This fact is especially true in the realm of ...
Python for Stock Market Trading How we can utilize python programming to find the most volatile stock in the share market with a few lines of python code. Source
How can GA help cut down problem space and converge towards a better solution? Source
Python and Pandas make it pretty easy to analyze and visualize time series data, even if you’re a beginner. In this crash course, you’ll learn about: Importing packages Making a random time series Transforming data ...
An example with Crude Oil daily data Source
How to Build Quant Algorithmic Trading Model in Python Source
Make use of a completely functional ARIMA+GARCH python implementation and test it over different markets using a simple framework for visualization and comparisons. Source
Algorithmic or Quantitative trading can be defined as the process of designing and developing statistical and mathematical trading strategies. It is an extremely sophisticated area of finance.Source