Algorithmic Trading with Economics Driven Deep Learning
Incorporating macro-economic theories in deep learning models Source
Arificial Intelligence and Machine Learning for Finance and Banks
Incorporating macro-economic theories in deep learning models Source
Advanced techniques with simple Python code Source
Explaining Stock Trading Fundamental Analysis Ratios And Retrieving Them Using Python Source
Multiverse Computing worked with major banks like BBVA and Bankia to solve real world problems in finance using a D-Wave quantum computers. In a project with Bankia, they tackled the problem of dynamic portfolio optimization ...
Use fastquant to easily optimize your trading strategy’s parameters automatically! Source
An overwhelming number of traders use the famous Relative Strength Index to help with their decisions, and although it can only serve as a confirming indicator, it nevertheless, has its weight in many trading decisions ...
An automated machine learning strategy to determine the optimal stocks for algorithmic trading. Source
Market Clustering with Transdimensional Machine Learning The ability to characterize market day-trading with TML enables tailoring strategies to specific market “personalities”. These “personalities” render it seemingly impossible to trade profitably approximately 40 percent of trading ...
How to Use Vectorized Backtesting to Evaluate ML Models Source