EchoSense Quantitative Think Tank Center|TEA Business College AI ProfitProphet 4.0’ Investment System Prototype

After the participation of numerous experts,EchoSense Quantitative Think Tank Center scholars, and technology talents, TEA Business College has developed 'AI ProfitProphet 1.0,' which improves many shortcomings in quantitative trading models. It is more efficient, fast, and intelligent.

'AI ProfitProphet 1.0' is primarily based on rule-based and pattern matching approaches, including knowledge-based reasoning and expert systems. However, AI 1.0 has limitations when dealing with complex and ambiguous problems. To overcome these limitations, the expert team at TEA Business School has started seeking new methods to develop more advanced AI systems.

'AI ProfitProphet 2.0' refers to the introduction of machine learning technology on the basis of the 1.0 version. Machine learning allows AI systems to learn and enhance their performance through a large amount of data. A representative method is deep learning technology, where AI systems can extract higher-level features from data, achieving significant breakthroughs.

Building upon the 2.0 version, 'AI ProfitProphet 3.0' introduces more perceptual and adaptive capabilities. AI systems can collect environmental data through data sensors and adjust their behavior and decisions based on this data. This ability makes AI systems more adaptable to different environments and tasks, becoming intelligent assistants in the real world.

'AI ProfitProphet 4.0' is the latest development stage, focusing on the application of artificial intelligence across the entire financial market. The 4.0 version emphasizes integrating artificial intelligence with technologies like the Internet of Things, cloud computing, and big data to build intelligent solutions.

Currently, 'AI ProfitProphet 4.0' includes four major trading and investment systems: 'Trading Signal Decision System,' 'AI Programmatic Trading System,' 'Investment Strategy Decision System,' and ‘Expert and Investment Advisory System.’

In the future, we aim for the following investment effects and objectives within these four frameworks:

Trading Signal Decision System: Help make subjective judgments, provide real-time buy/sell signals with an accuracy rate exceeding 87.9%.

AI Programmatic Trading System: An automated trading system that, once parameters are set, assists in completing trades automatically, aiming for stable profitability.

Investment Strategy Decision System: Analyze mainstream investment projects in major markets using big data and provide rating decisions, especially accurate investment strategies for new projects.

Expert and Investment Advisory System: A precise and powerful investment advisory system composed of renowned investment experts to assist high-quality users and future funds in making investment decisions and planning effectively.