Xavier McAllister Capital is a data analytics, software development, and private proprietary trading firm. Our headquarters are located in London, but we also have growing offices in emerging markets (Nigeria, Ghana & India).
We trade globally and run our operations in developed and emerging markets worldwide which allows us to remain competitive and profitable in business.
Xavier McAllister seeks to capture short‐term volatility risk premium within the global equity markets while diligently monitoring risk and adhering to a strict risk management process. We invest a significant portion of our time focusing on predictive data analysis, machine learning, financial software development, risk management, technical analysis and fundamental analysis across our trading instruments.
Having a strong and dedicated data analytics teams allows us to increase our performance when trading financial markets. Our mentoring and team approach to software development, data analysis, and designing strategies on various instruments allows us to play an essential role in executing financial transactions.
Our firm is built by talented people who spend time performing predictive data analysis and also financial studies of the markets. Our team includes predictive data analysts, trade managers and portfolio solution providers, who are able to offer daily market insights. This allows us to make the best financial projections before making a trade.
Together, we not only work to become successful and profitable – we also create a great company to work for.
Our Ethics Our Values
Team Players Comradeship
Reliability Attendance + Reporting
Professionalism High Standards of work + conduct
Responsibility Adhering to company policy + procedures
Loyalty Being committed to our success
Integrity Having sound judgment and dependability
Respect Treating people with appreciation and dignity
We provide speculative price predictive data analytics insights and also specialise in trading using AI on the capital markets. We design software solutions to meet the requirements of stakeholders’ financial strategic objectives. We also do a lot of research and development on capital markets, providing key data on the historical key performance indicators of a stock.
We are privately owned and raise our funds independently and from private sources.
Through our trading floors, we place a high investment on our research, trading ideas, market information and predictive data analysis. We then perform daily trades, and manage the risk.
Our research analysts analyse market sectors and company fundamentals to identify investment opportunities for the markets that we cover globally.
The work of our predictive analytics team is second to none. By using selected financial sources and the latest technology, we are able to manage a strong portfolio of investments and trades.
We place a premium on data analysis, performing data management activities like data modeling, analysing data using statistical techniques and providing reports. Additionally, we:
This, along with a range of custom-built algorithmic prediction, machine learning scripts and robot-advisors allows us to to analyse hundreds of data points and execute trades at the optimal price. This puts us in a unique position of being able to forecast markets with greater accuracy and trade instruments efficiently thus reducing risks and providing higher returns.
Our highly trained and professional team are located on trading floors in emerging regions, with direct responses to our headquarters in the Number One financial centre in the world – London.
By giving them the training, technical, financial and daily mentoring in following our proven trade strategies, our trading floor teams are able to successfully meet their targets.
Our main approach to trading is of an intraday nature whereby we managed risks on a short term basis. Some of our day trading strategies include
The majority of our team members work as Day Traders, as our proven methods have shown that this offers the best way of us managing our financial investments with an acceptable return on investment.