Stanley Machuene Kobo
Financial Engineering at WorldQuant University (WQU)
South Africa
Hi, I'm Stanley Machuene Kobo!
Data Science intern at Cell C
An aspiring financial engineer that is willing to learn with curiosity to use risk management models to estimate how an investment product will perform if a new financial offering will be sustainable and beneficial in the long term, and what kind of risks each transaction is executed presents given market volatility. The main goal is to evaluate and release new techniques such as new ways of investment decisions, new debt offers, new investments, new trading techniques, new financial models, and so on, using mathematical modelling and computer programming.
Education
Financial Engineering
WorldQuant University (WQU)
Graduated in 2022
Certificates & Badges
No certificates or badges added
Projects
Algorithmic Trading for Long-Term Trends in Commodities Markets
•https://github.com/Martwuene/SMA-ADX-APZ-Trading-StrategyStudent
Developing an expanded or upgraded algorithmic trading strategy for trend-following strategies, which were previously trading orders for long-term trends in commodity futures markets, in order to recognize and validate time, price, and volume using automated techniques. This trading requirement takes advantage of algorithms' intensity and handling bandwidth by combining the selected strategies that are to be used before they are all combined so that they can trade in all trends (bullish and bearish markets), including choppy markets, which are the Simple Moving Average Crossover Strategy, Average Directional Index Strategy, and Adaptive Price Zone Strategy.
Languages
English
Skills
No skills added