The four main AI core characteristics that will revolutionize crypto trading: Part 4 Qualitative analysis.
Qualitative analysis is used for evaluating specific cryptocurrency projects and the industry as a whole. It’s dependent on very subjective judgment based on unquantifiable data, for example, management expertise, business cycles, research & development, and community engagement. Qualitative analysis contrasts with quantitative analysis, which concentrates on numbers that are available on reports like balance sheets, e.g., The two strategies, nonetheless, are utilized together to be able to analyze a crypto project operations and assess its possibility as an investment opportunity.
Qualitative analysis and Artificial Intelligence
Qualitative analysis relates to intangible, inexact concerns which are associated with the experiential and social realm instead of the mathematical approach. This method is dependent on the type of intelligence which machines lacked until the latest developments. Aspects such as positive associations, cultural shifts, competitive advantage, customer satisfaction, and management trustworthiness are arguably extremely hard to gage with numerical inputs that standard AI solely relied on.
Qualitative analysis, in particular, is challenging to traditional AI models because it takes human cognitive capabilities for processing. Nevertheless, innovation in AI methods like Artificial Neural Networks (ANN) makes it feasible. An Artificial Neural Network is a kind of artificial intelligence which imitates the actions of the human brain as well as the central nervous system. ANN is made up of numerous levels, neurons that are linked to each of the neurons associated with a successive layer. Developments in Artificial Intelligence such as Artificial Neural Networks could be viewed as an engineering process emulating the human mental activity.
Qualitative analysis and cryptocurrency valuation predictions
Regardless of its incredible innovative influence in the world of finance. Cryptocurrency trading is a high-risk business. Due diligence is required to play the crypto game since markets move in light speed. As the industry matures, it is becoming challenging for humans to follow industry developments in real time. Nevertheless, innovations in AI technology has proven to be a missing link at gaging qualitative analysis, which is part of fundamental analysis used to predict market movements.
Fundamental analysis is a technique used for evaluating a crypto project in an attempt to examine its intrinsic value, by investigating associated economic, financial and quantitative & qualitative factors. It is critical that individuals in the crypto community have expectations and strategies that are realistic for their crypto investments. Qualitative analysis helps the crypto investor to create realistic market expectation is the short, mid, and long-term. That being said, constant market monitoring is necessary to come up with precise analysis. The cryptocurrency markets never close, and that is why AI latest models are an essential tool in gaging fundamental analysis since it shares the non-stop, restless nature of the crypto markets.
What data feeds Qualitative analysis?
- What are the core characteristics of a blockchain initiative, as well as, what problems it intends to resolve?
- What platform is it connected to and under which protocol?
- Is there a specific roadmap for the blockchain project?
- Who is part of the project’s organization (the team), what are their track records and credentials?
- Are there any investments (Early Backers/VC) in the project?
- Are there any competitors that provide a similar solution compared to the project being analyzed?
- Do the projects have a native token?
- Tokenomics.
The concept behind qualitative analysis is understanding specific components that call for a holistic perspective and a fact-based narrative. Context is key, and that is why humans usually conduct it. For instance, a CEO who didn’t finish college would be a red flag in some cases. Nevertheless, Steve Jobs and Mark Zuckerburg are exceptions. Until recently this distinction could only be noticed by the cognitive capabilities of the human mind. The rise of Neural Networks in AI that emulate the brain to a certain degree, it can process information based on context. It opens up incredible opportunities in countless industries. Within the cryptocurrency ecosystem, it could signify a revolution, by speeding up the entire analysis process and removing the guessing game out of the equation. Making the crypto markets healthier, and more user-friendly. Paving the way to mass adoption of the digital economy as the new norm.
