The Difference Between Algorithmic and Quantitative Trading that is a Must-Know!

Quantitative trading is a market strategy that heavily relies on statistical and mathematical models to identify and execute opportunities in the stock market. These models are driven by quantitative analysis, which gives the strategy its name- Quantitative Trading. In other terms, people also tend to refer to them as ‘quant trading’, or sometimes 'quant'.

Quantitative Trading uses analysis based on research and measurement to convert complex patterns of trade into numerical values. This ignores qualitative analysis, which will evaluate the opportunities based on subjective factors like management expertise or brand strength. Quant trading demands a lot of computational power; traditionally, the usage is limited to large institutional investors and hedge funds. 

The past few years have seen the advent of new technology that has enabled increasing numbers of individual traders to get involved in quantitative trading.

Working Model of Quantitative Trading?

Quantitative trading functions based on data models which determine the probability of a specific condition or situation. Unlike other forms of trading, this model solely relies on statistical methods and programming to execute functions.

Quantitative vs algorithmic trading

Algorithmic trading deploys automated systems that analyze chart patterns to find the apt opening and closing positions. Meanwhile, Quant trading uses statistical methods to identify, but not necessarily execute, any opportunities available. While quaint and algo trading may overlap, these techniques have a separate identity that must not be confused.

Some Important Distinctions between Quantitative and Algorithmic trading:

• Algorithmic systems always execute the trader’s behalf. But quant traders use models to identify opportunities and then prefer to open the position manually.
• Quantitative trading uses advanced mathematical and statistical methods. Algorithmic trading heavily relies on more traditional technical analysis.
• Algorithmic trading only uses chart analysis and data from stock exchanges to find new positions. At the same time, quantitative trading makes use of a lot of different datasets.