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 ...
Using Image Processing Techniques on Time Series Data Source
In this tutorial we’ll make a Machine Learning Pipeline that inputs News and applies NLP to generate predictions for Amazon Stock Price re-training through time. Source
Coding and Back-testing an Objective Systematic Breakout Strategy Source
Support and Resistance lines are defined as certain levels of the assets price at which the price action may stop and/or reverse due to a larger number of interested investors in those price levels. They ...
Built a web app using Python Flask that allows you to simulate future stock price movements using a method called Monte Carlo simulations with the choice of two ‘flavours’ : Geometric Brownian Motion (GBM) and ...
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 ...
A Step-by-Step Guide to put you in control of your finances Source
In 100 lines of code This program will scrape a given amount of stocks from the web, predict their price in a set number of days and send an SMS message to the user informing ...
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