The innovative tool involves the creation of a crypto trading bot using Python. This bot uses a Docker architecture, giving it portability and ease of deployment on different environments. It is designed to perform automated trading operations on crypto-currency markets based on the Binance API.

The trading bot itself is coded in Python and uses various indicators to make trading decisions. Two of the main indicators used are the RSI (Relative Strength Index) and MACD (Moving Average Convergence Divergence). The RSI is an internal strength indicator that measures the average rise and fall of a financial asset. The MACD, on the other hand, visualizes trend changes by subtracting two exponential moving averages. These indicators are often used together to validate or invalidate trading signals.

The trading bot uses a MySQL database to store and manage data relating to trades made and portfolio performance. This makes it possible to track results and analyze bot performance over time.

To interact with the bot, a web interface has been developed using the Flask framework. This interface enables users to access the bot, configure their trading strategies, view trading results and make adjustments in real time. This provides users with a user-friendly interface for monitoring and controlling the trading bot’s activities.

In summary, this project combines the use of Python, Docker, the Binance API, a MySQL database and a web interface to create an automated crypto trading bot. The RSI and MACD indicators are used to make trading decisions, while the web interface enables users to monitor and manage the bot’s activities. 

This project aims to facilitate crypto-currency trading by automating operations and providing users with analysis and control tools.