Brazilian Market Cicles: a behavioral study of time.
I'm a trader in a brazilian market stocks about one year and I have much ideias to apply with Data Science on my trades. This is a example which I spend my time to improve conclusions about last 26 years database with behavioral of time and prices.
In this image below, you can get the ideia about april, november and december are the most valorous months in a year.
And with you look to a negative or positive closes, you can checkout second semester is the most valorous.
Another things are possible to note as a years final 6, 7 and 9 such as a more positives and years final 1 and 8 such as a negative results.
Basicly I'm using a numpy, pandas, datetime and pandasdatareader to compiling this study. I'm studing cicles decennial, yearly, US presidential elections, Monthly, Weekly, daily, hourly. Everything basead in last 26 years database and a I hope you enjoy this project.
It's not finished yet!