Forex Trading Systems: An Algorithmic Approach to Technical Trading

In financial trading, emotion can often obstruct clear decision making. The goal of this project is to build a system which can overcome this by trading foreign currencies autonomously. Three systems were created: two relying on neural networks, and a third on pattern recognition of candlestick charts. A fourth system has been designed to allocate funds to the others using utility theory. Though the algorithms were not profitable, a powerful interface was built, connecting Python scripts to MetaTrader 4 for trading

Demining Autonomous System

The use of PMN-1 anti-personnel landmines, along with poor documentation and scale of their deployment, has led to a humanitarian crisis. Current methods of landmine removal, including military-grade equipment, trained animals, and manual deminers, are dangerous, ineffective, and expensive. This project built on the work of previous MQPs to develop a more robust rover for autonomous landmine detection and a more accurate drone for landmine detonation. Additionally, the team developed an easy-to-use application that combines the two systems and provides access to non-technical users