Principle of quantitative management

Quantitative trading is a way of trading that relies on mathematical models and programs that process the political and economic information they receive. Quantitative trading has several objectives :

  • Assess the values of financial assets and determine their value as accurately as possible.

  • Evaluate operations scientifically and mathematically by adjusting portfolio strategies.

  • Create a balance between the risk involved in making the trade and the potential gain.

The goal of quantitative trading is to combine mathematical technologies and big data to make decisions more rational.

Quants have decided to delegate part of their work to computers and their mathematical programs. Quant trading professionals are already in the process of automatic trading, since a large part of the tasks of buying and selling trades are automated.

Quantitative Trading at Robank Hood

At Robank Hood, we believe in quantitative trading. With our Deep Learning solution specialized in financial markets, we offer mathematical models and neural networks capable of limiting financial risk and minimizing the effects of chance on trade performance. ANA also has the advantage of being free of emotion, which allows it to make trades without being influenced by factors external to the logic by which it acts.

Integrated analytical system

To monitor trade performance and re-evaluate trading strategy, ANA has an analytical system integrated into its trading solution. This way, you will be able to monitor your performance in real time and readjust your portfolio strategy on the fly.

Risk management

Risk management is very important to us. ANA is set up to limit the risk of financial loss and maximize gains over time. Learn more about risk management.