Chart AI vs Metranverse

Chart AI turns complex market charts into clear, educational explanations. Upload a chart to explore the patterns, candlestick formations, trendlines, technical indicators, and market context visible in the image. Whether you are beginning to learn technical analysis or strengthening your chart-reading routine, the app helps you study visual information step by step without overwhelming jargon. TURN A CHART INTO A LEARNING MOMENT A single chart can contain several layers of information. Chart AI helps separate those layers and explain what each one represents, creating a focused starting point for further study. WHAT YOU CAN EXPLORE • Upload a chart image for an AI-assisted educational review • Learn how common candlestick formations are described • Examine visible trends and price structure • Review possible support and resistance areas • Explore technical indicators and what they are commonly used to measure • Consider market sentiment and contextual information • Study examples across stocks, forex, and crypto markets • Return to important concepts whenever you need a refresher Designed for U.S. learners following stocks, forex, or crypto, Chart AI brings several chart-reading tools into one focused learning experience. It can support self-study, classroom discussion, market research practice, or a more structured review of charts you already follow. A SIMPLE STUDY WORKFLOW 1. Choose a clear chart from your device. 2. Upload it to begin the analysis. 3. Read the explanation section by section. 4. Compare the observations with the original image. 5. Use the result as a starting point for deeper learning and independent research. LEARN WITH MORE CONTEXT Chart reading is not about one pattern or indicator in isolation. Time frame, price structure, volatility, sentiment, and broader conditions can all affect interpretation. Chart AI presents several relevant chart elements together, making it easier to build vocabulary, notice relationships, and ask better questions as your knowledge develops. Use it to examine common U.S. market examples while keeping the emphasis on learning how a chart is constructed—not on chasing predictions. CLEAR, EDUCATIONAL POSITIONING The app explains concepts in accessible language. It does not promise outcomes, replace your own judgement, or remove market uncertainty. Use the information to practice observation, strengthen your understanding, and continue learning from reliable educational sources. Subscription Required: This app requires an active subscription to access its premium AI features. Weekly Subscription: US$3.99/week Monthly Subscription: US$9.99/month IMPORTANT INFORMATION Chart AI provides educational and informational content only. It does not provide investment recommendations or personalized financial guidance. Market activity involves risk, and any decision should be based on your own research, circumstances, and, where appropriate, guidance from a suitably qualified professional. Terms of Use: https://www.apple.com/legal/internet-services/itunes/dev/stdeula/

This mobile application ( “Metranverse”) is created for a research project (Translation Technology Learning in Metaverse) which is funded by the Research Matching Grant Scheme (University Grants Committee, Hong Kong government). This research project aims to examine learners’ perceptions and the effectiveness of translation technology training. In addition to the mobile apps “Tra Tech” ,“MATTE”, and MOOCs developed in the first and second stages of the research project, the third phase of the study aims to develop an enhanced gamified metaverse mobile app with leveled difficulties and AI-powered customisation of learning paths for translation technology learning and examine learners’ perceptions and its effects on attitudes and behavior as well learning experience and learning outcomes. The mobile app (“Metranverse”) is created based on the framework of the metaverse in education. In the Metaverse, a stimulated, vivid and colorful learning scene is created by modelling and rendering technologies. With a digital identity, a learner can immerse himself/herself in the 3D virtual world and interact with non-player characters (NPCs). Via an avatar, a learner can have multi-sensory and embodied participation in the 3D learning scene. There are two 3D metaverse scenes, namely Knowledge Nexus and AI-powered Zone. The materials will be generated by AI according to learners’ needs and preferences. The app is designed based on digital gaming features. To enhance online communication, a forum is embedded for users all over the world to interact. Learning resources cover a wide range of key issues of translation technology and the application of machine translation (MT), computer-aided translation (CAT) and AI-enabled tools. In addition to MT and CAT tools, other tools for translation (e.g. generative AI tools (e.g. ChatGPT), Grammarly, Quillbot, Passolo, and Wordtune) are also introduced. The learning materials are mainly presented in audiovisual format. In addition to the learning videos, the mobile app also contains exercises and an online forum for peer interaction. Learners can also use the built-in English-Chinese and Chinese-English translation machines which are powered by a neural machine translation (NMT) system. The topics introduce a range of translation technology tools (including Phrase, Google Translate, Baidu Translate, and ChatGPT) for different genres, such as literary, cultural, scientific, business, and academic texts. They aim to equip students with basic knowledge and skills in translation technology for English–Chinese and Chinese–English translation. Acknowledgement: The work described in this research project has been supported by a grant from the Research Grants Council of the Hong Kong Special Administrative Region, China (Research Matching Grant Scheme HE-OT 2023/12). This research project is supported by Phrase TMS and Phrase Strings, which has donated a Team Edition license with 83 Project Manager accounts to the School of Arts and Social Sciences of Hong Kong Metropolitan University for three years (2022 –2025).