by Sooraj Singh Gurjar Founder and Managing Director, Get Together Finance (GTF))
The era of computers and the internet has made people achieve beyond their imagination. Honestly, we never dreamt of simplifying our daily operations to the extent that they have been today. Everything is just a click away, and advanced algorithms have made it possible to filter everything on the internet according to our needs and interests.
The magic of algorithms is not limited to social media ads, instead, it has started capturing the stock market. The technical trading in the stock market which is done by analyzing candlestick charts and the hidden demand and supply forces in it, can also be done with knowledge of relative theory and quantum physics.
This new concept has given birth to the term quantum trading. In the simplest words, this explores the use of quantum computing algorithms and principles in the financial market. It simplifies stock market trading with the aid of computers and physics theories.
What is Quantum Trading?
Unlike every other form of technical trading strategy, it is not a defined concept. Rather it is a roadmap that allows you to explore an enigmatic place like the stock market. The price fluctuation in the stocks is worth catching. They hold the opportunity to take you from rags to riches.
Quantum concepts have helped people understand how everything that exists in the world is created and functions almost in the same manner. With the advancements in the studies, the experts have now found a way to connect financial markets with concepts of quantum mechanics. This has helped people view the market from different perspectives making it easy for them to analyze the technical candlestick charts.
Here’s how quantum mechanics is connected with technical trading:
The Law of Uncertainty: Quantum mechanics first discovered and stated that the absolute place of a particle cannot be identified with utmost precision. This means there is always uncertainty in the particle. Similarly in the financial market and stock market, nothing is stable and it works parallel with the principle of quantum mechanics. The uncertainty in the stock market is stimulated by financial news, demand and supply, and economic events.
Entanglement and Interconnectedness: In quantum mechanics, interconnectedness refers to the phenomena of entanglement between two or more particles. These entanglements make both particles codependent on each other. Resulting in the cooperative nature of working. When we compare this with the stock market, it can be seen how demand and supply are completely connected. The demand and supply of the stocks are inversely proportional to each other. Once the technical trader has learned to identify where the reliable demand zone or supply zone is forming they can make good profits out of it with their tested strategy.
Quantum Inspired Algorithm and Analysis
Researchers have been relating the concepts of superposition and parallel processing of quantum mechanics with technical trading to design algorithms. These algorithms aim to improve the trade strategies of the trader with automation. It is possible by taking into account the wide data of the stock market and speculating on each and every move.
The concept of superposition allows technical traders to consider different possibilities in the stock market at once. Further, the concept of parallel processing considers multiple computations at once.
By leveraging these concepts of quantum mechanics traders can navigate the market better. The core reason behind this is, that they can consider the hidden opportunities, and the automated practices can help them in implementing their methods. Furthermore, improved risk management can also be applied with the help of these algorithms.
It is critical to proceed with caution when considering the link between quantum mechanics and the stock market. Parallels between the two fields are frequently based on abstract concepts and analogies rather than actual scientific links. The application of quantum principles in financial analysis and trading methods is still under investigation, and practical implementations of quantum-inspired approaches to understanding or predicting market behaviour are in their early phases.