Quantitative models are based on collecting and interpreting data. Quantitative trading and investing is trading with firmly defined strategies, based on quantitative analysis which rely on mathematical computations and pure number crunching to identify high probability opportunities. In short, it can quantify and translate any investment strategy into binary signals, thus, removing any discretionary input from our many human biases. Price, momentum, volume, volatility, rate of change and order flow are common data inputs that we use in quantitative analysis and mathematical models.
We calculate and define any strategy’s expectancy, win/loss ratios and profit factor, as well as the performance and frequency according to individual risk levels. We develop individual strategies that suit the individual investor's goals and trading frequencies and holding periods. The strategies are backtested and refined to produce stable and consistent results, without any "curve fitting" or short term improvements. We help define both simple strategies, with very few input data points, but also very complex mathematical algorithms with multiple data inputs over many markets.
We offer a unique client services approach to help you take control of your financial future and maximize your returns. Together, we will explore which financial strategies that best fit your personal financial goals, world macro views and investment expectations according to how actively you want to be involved in your investment and portfolio management.
When financial assets and contracts are bought and sold, the sellers and the buyers agree on the price but obviously not the future value of the underlying asset. How does historic prices affect your perception of value? Are you good at discounting future values? In many ways, the price is what you pay and the value is what you get.
Volume plays a big part in most market models, and must be monitored. Signals like rising volume in a decline market or declining volume in a ranging market means very different things and must be incorporated in all macro factor and trading models. All solid models will factor in changes in volume in combination with other market signals.
Volatility is a statistical measure of the dispersion of data around its mean over a certain period of time. It is calculated as the standard deviation multiplied by the square root of the number of time periods, T. Obviously, volatility measurements will play a very big role in any trading and investment model
Copyright © 2021 Redpill Capital - All rights reserved.