Fundamental Analysis Final project The porpouse of the proyect is to build an intraday trading system for the forex pair: USD/MXN. This system is based on the result of an economic indicator from the US Econony, the Unemployment rate, which is published during the first week of each month. The system decisions are driven by the consensus, previous and and actual values from the indicators.
Install all the dependencies stated in the requirements.txt file, just run the following command in terminal:
pip install -r requirements.txt
Or you can manually install one by one using the name and version in the file.
The purpose of this project is to analyze the release of an economic indicator as an event that can generate temporary patterns in the price reactions of a financial asset for a trading system.
Team: Bryan Azahel Manica: Data Analyst intern at Herbalife, Financial Engineering 4th year student at ITESO. Lyha Espinosa: Data Analyst intern at Herbalife, Financial Engineering 4th year student at ITESO. Ana Cristina Vazquez: Credit Risk intern at Bradescard, Financial Engineering 4th year student at ITESO. Juan Pablo Ruiz: Financial Analyst intern at ITESO, Financial Engineering 4th year student at ITESO.
Financial Profile: In charge of the financial section of the project -Espinosa Garcia Lyha -Vazquez Vargas Cristina
Statistical Profile: In charge of the statistical section of the projet -Manica Pineda Bryan -Ruiz Magaña Juan Pablo
Computacional Profile: In charge of the optimization section of the project -Manica Pineda Bryan -Espinosa Garcia Lyha -Ruiz Magaña Juan Pablo -Vazquez Vargas Cristina
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Permissions of this strong copyleft license are conditioned on making available complete source code of licensed works and modifications, which include larger works using a licensed work, under the same license. Copyright and license notices must be preserved. Contributors provide an express grant of patent rights.
Bryan Azahel Manica: if722176@iteso.mx Ana Cristina Vazquez: if721215@iteso.mx Lyha Espinosa: lyhaespinosa@iteso.mx Juan Pablo Ruiz: if721093@iteso.mx