Bank of America Corporation (20240233027). TRANSACTING OF DIGITAL ASSETS / CRYPTOCURRENCY BY COMBINING FUNDAMENTALS ANALYSIS AND TECHNICAL ANALYSIS simplified abstract
TRANSACTING OF DIGITAL ASSETS / CRYPTOCURRENCY BY COMBINING FUNDAMENTALS ANALYSIS AND TECHNICAL ANALYSIS
Organization Name
Inventor(s)
Michael Young of Davidson NC (US)
Timothy Hansford Briggs of London (GB)
TRANSACTING OF DIGITAL ASSETS / CRYPTOCURRENCY BY COMBINING FUNDAMENTALS ANALYSIS AND TECHNICAL ANALYSIS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240233027 titled 'TRANSACTING OF DIGITAL ASSETS / CRYPTOCURRENCY BY COMBINING FUNDAMENTALS ANALYSIS AND TECHNICAL ANALYSIS
Simplified Explanation:
This patent application describes a computer program product, system, and method for generating combined scores for digital assets, cryptocurrency, or stocks based on a combination of fundamentals and technical data to aid in trading decisions.
- Scores are generated for trading decisions such as buying, selling, holding, or shorting the asset.
- Scores may relate to long-term, medium-term, and short-term decisions.
- Machine learning, artificial intelligence, or behavioral analytics are used to determine which data to use in scoring and how much weight to give to each data.
- The scores can be provided to an automated trading system for generating trades based on the scores.
Key Features and Innovation:
- Combination of fundamentals and technical data for generating scores.
- Use of machine learning, artificial intelligence, or behavioral analytics.
- Different scores for long-term, medium-term, and short-term decisions.
- Integration with automated trading systems.
Potential Applications:
- Financial trading platforms.
- Investment firms.
- Hedge funds.
- Individual traders.
Problems Solved:
- Providing a data-driven approach to trading decisions.
- Integrating multiple data sources for scoring.
- Automating trading decisions based on scores.
Benefits:
- Improved accuracy in trading decisions.
- Enhanced efficiency in trading operations.
- Potential for higher returns on investments.
Commercial Applications:
Financial Trading Software: Revolutionizing the way trading decisions are made in the financial markets.
Prior Art:
Prior art related to this technology may include existing trading algorithms, financial analysis software, and machine learning applications in trading.
Frequently Updated Research:
Stay updated on the latest advancements in machine learning algorithms for financial trading and the integration of artificial intelligence in trading platforms.
Questions about the Technology:
1. How does this technology improve trading decisions compared to traditional methods? 2. What are the potential risks associated with relying on automated trading systems for decision-making in financial markets?
Original Abstract Submitted
a computer program product, system, and method for generating a combined score or scores for digital assets or cryptocurrency or stocks, each score based on a combination of fundamentals and technical data, for trading decisions, such as buying, selling, holding, or shorting the asset. the score(s) may relate to long-term, medium-term, and short-term decisions. the scores(s) may be generated using machine learning, artificial intelligence, or behavioral analytics to determine which of the available fundamentals data and technical data to use in the scoring and how much significance and weight to give to each data. the scores(s) may be provided to an automated trading system for generating trades based on the score(s).
