0xdavidordonez/project_2

Machine learning fintech project.

Bitcoin and Lunar cycles trading strategy

Overview

• We propose the development of an innovative trading app that will showcase an event-driven trading strategy, leveraging the correlation between Bitcoin prices and lunar cycles. Our app will incorporate technical analysis indicators, such as Bollinger Bands, and moving averages, to enhance the effectiveness of the strategy. Furthermore, we aim to utilize deep learning models in Python to implement and backtest the trading strategy, ensuring its robustness and accuracy.

Goals

• Develop a user-friendly app with streamlit, with an interface that allows traders to easily access and utilize our event-driven trading strategy.

• Utilize Python-based deep learning models to implement and backtest the trading strategy, ensuring its effectiveness across various market conditions.

• Technical Analysis Indicators: Integration of technical analysis indicators such as Bollinger Bands, or moving averages to further refine the trading strategy.

Bonus

• Create a NLP chatbot that tells you financial data.