HKQUANT Quantitative Add-Ins for Excel

HKQUANT.com provides a suite of highly advanced systems for individual users who are connected with current and future computational challenges on a wide range of everyday applications. Based on decades of experience in designing non-linear mathematical models and 3D technologies enable significant progress, improving efficiency and extending the capabilities of the most demanding applications.

HKQUANT.com has Developed World's First 3d market visualization. Thanks to the three-dimensional technology we can find new patterns and new correlations. Our computers are active 24 hours to find and compare millions of data, this gives us an advantage over other traders who use technology and work on two-dimensional classical and popular classic pattern.

The world of financial trading is changing rapidly. This environment makes it difficult for the merchant or operator of a traditional investment, even armed with the best of commercial technology to provide consistent and positive results.

Our technology allows us to build trading systems that can handle huge amounts of data, react and take decisions based on such data and perform actions based on those decisions that makes it easy to take advantage of rapid changes.

Quantitative analysis can be done for a number of reasons such as measurement, performance evaluation or valuation of a financial instrument. It can also be used to predict real world events such as changes in a share price. A business or financial analysis technique that seeks to understand behavior by using complex mathematical and statistical modeling, measurement and research. By assigning a numerical value to variables, quantitative analysts try to replicate reality mathematically.

In broad terms, quantitative analysis is simply a way of measuring things. Examples of quantitative analysis include everything from simple financial ratios such as earnings per share, to something as complicated as discounted cash flow, or option pricing.

Although quantitative analysis is a powerful tool for evaluating investments, it rarely tells a complete story without the help of its opposite - qualitative analysis.

Our modeling for forecasting uses these techniques: Linear regression, logistic regression, generalized regression, conjoint and discrete analysis, hierarchical modeling, semi-parametric techniques, Bayesian techniques, neural network, gradient boosting, Random Forest, Support Vector Machine, ARIMA, ARIMAX Techniques, structural models, Value at Risk models, fractal models, dynamic regression, Markov Chain, Monte Carlo Simulations.