Trafalgar, the python library that breaks the game of quantitative and portfolio analysis
Trafalgar is a python library to make the development of portfolio analysis faster and easier. Source
All about Artificial Intelligence and Machine Learning for Banking, Finance and Trading
Arificial Intelligence and Machine Learning for Finance and Banks
Trafalgar is a python library to make the development of portfolio analysis faster and easier. Source
The following indicator is a normalized oscillator making use of the arc tangent sigmoid function (ArcTan), this allows to “squarify” the output result, thus visually filtering out certain variations originally present in the oscillator. Source
This library has for goal to make it simpler, faster, and easier to analyze stocks and portfolios in only a few lines of code instead of taking hours to learn mathematical concepts behind these tools ...
Using NLP and Granger causality to analyze the relationship between the sentiment of a written article and a stock’s price Source
Increasing portfolio returns using python Source
As an options trader, it is important to be able to monitor your performance and at the very least know whether or not your strategies are working and that you’re profitable. Source
Utilising 250,000+ Tweets to backtest “sentimentum” trading strategies Source
Automate the calculation of RSI for a list of stocks, and then analyze its accuracy at predicting future price movements. Source
Explaining Stock Trading Fundamental Analysis Ratios And Retrieving Them Using Python Source