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      "body": "The Excellence Vanguard Wealth Business School actively promotes cooperation with the financial industry and carries out artificial intelligence research projects. By collaborating with Wall Street financial institutions, we aim to deepen our understanding of the field of artificial intelligence and provide them with practical solutions to their problems. These research projects can also help maintain close contact with the industry and stay up-to-date with the latest technological developments and trends.\n2.4 Stage 4: Prototype and Future Vision of the 'Vanguard AI 4.0' Investment System\n\n![3.jpg](https://cdn.steemitimages.com/DQmSbDDcGQBeMaxQr25RMFaMwMVARtq8KhwtSkDfKQicZ2z/3.jpg)\n\nVanguard AI 4.0 is mainly based on rule and pattern matching, including knowledge- based reasoning, expert systems, etc. However, AI1.0 has some limitations when dealing with complex and ambiguous problems. To overcome these limitations, the Milton Reese team began seeking new methods to develop more advanced AI systems.\nVanguard AI 4.0 is mainly based on rule and pattern matching, including knowledge-based reasoning, expert systems, etc. However, AI1.0 has some limitations when dealing with complex and ambiguous problems. To overcome these limitations, the Milton Reese team began seeking new methods to develop more advanced AI systems.\nOn the basis of version 2.0, AI 3.5 has introduced more perceptual and adaptive capabilities. AI systems can collect data from the environment through data sensors and adjust their behavior and decisions based on this data. This ability enables AI systems to better regulate different environments and tasks, becoming intelligent assistants in the real world.\nAI 4.0 is currently the latest stage of development, mainly focusing on the application of artificial intelligence in the entire market of the financial industry. The 4.0 version emphasizes the integration of artificial intelligence with technologies such as the Internet of Things, cloud computing, and big data to build intelligent solutions.\n3.1 The original intention of token issuance\nExcellence Vanguard Wealth Business School issues EVW tokens for financing promotion, deeply develops and improves the 'Vanguard AI 4.0' investment system, keeps pace with the times, and promotes the commercialization of the nextstep of listing.",
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      "body": "Although both quantitative trading and artificial intelligence trading are methods that use technological means to make trading decisions, they also have some shortcomings. The\nfollowing are some weaknesses of quantitative trading compared to artificial intelligence trading:\n1. Dependence on historical data:\nQuantitative trading is usually based on the analysis of historical data and model\nconstruction, so for emerging markets or markets with drastic changes in economic\nconditions, quantitative trading may not be as flexible as artificial intelligence trading.\n2. Lack of subjective judgment:\nQuantitative trading mainly relies on rules and algorithms for trading decisions, lacking the   intuition and subjective judgment of human traders. This sometimes leads to the inability to capture certain irregular market emotions or events, resulting in the instability of trading\nstrategies.\n3. Sensitivity to data quality:\nThe results of quantitative trading heavily depend on the accuracy and reliability of the\nhistorical data used. If there are errors or missing data, or if the current market situation\ncannot be accurately reflected due to market changes, it will have a negative impact on the success of trading strategies.\n4. High initial cost:\nQuantitative trading requires the establishment and maintenance of a large amount of\ntechnological infrastructure, including high-performance computers, data storage and\nprocessing systems, etc. These facilities require a significant amount of capital investment and professional knowledge to maintain, resulting in high initial costs.\n\n![6.jpg](https://cdn.steemitimages.com/DQmYj2nyKZXM6t24BjozjKC54As5yrrHEwfdoWhGLwo8pAP/6.jpg)\n\n5. Sensitivity to model risk:\nQuantitative trading models are usually constructed based on historical data, and there are   deficiencies in the accuracy and stability of investment processes for investment targets with limited market historical data. For example, in the rise of emerging cryptocurrency markets,   there are numerous opportunities, and quantitative trading loses its advantage due to this\ndeficiency.\nWith the development of technology, the application of artificial intelligence technology has  had a profound impact on quantitative trading. Quantitative trading is a trading strategy that utilizes mathematical models and a large amount of historical data for investment decisions, and the introduction of artificial intelligence makes quantitative trading more accurate,\nefficient, and intelligent.\n\nFirstly, artificial intelligence technology can analyze and process massive financial data through methods such as data mining and machine learning, discovering patterns and\npatterns in financial markets. Compared to traditional quantitative trading methods, artificial intelligence can more accurately capture market dynamics and changes, improving the\naccuracy of investment decisions.\n\nSecondly, artificial intelligence technology can also achieve automated trading, which involves executing trading operations through algorithms and programs, reducing the involvement and\noperational risks of trading personnel. This makes transaction execution faster and more precise, and enables real-time monitoring of market changes and timely adjustment of    investment portfolios.\n\nIn addition, artificial intelligence technology can also help optimize and improve quantitative\ntrading strategies. By training and optimizing machine learning algorithms, effective\nparameter adjustments and optimizations can be made to quantitative trading models, improving the profitability and risk control capabilities of trading strategies.\n\nGiven that artificial intelligence trading can obtain data in real-time and make decisions based on real-time market conditions, it is more adaptable to market changes; Artificial intelligence\ncan process more complex data and patterns, thereby obtaining more accurate market judgments; Artificial intelligence trading can monitor market changes in real-time and\nautomatically make trading decisions, enabling quick response when opportunities arise in the market; Artificial intelligence trading can continuously optimize its trading strategy through\nmachine learning and deep learning algorithms to adapt to market changes... Artificial\nintelligence has stronger regulatory and decision-making abilities. Since 2014, the Excellence Vanguard Wealth Business School has jumped from quantitative trading to the field of artificial intelligence trading.",
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      "body": "In the early days of the establishment of the Excellence Vanguard Wealth Business School\n, Milton Reese attempted to create a \" lazy investment system\" that could avoid emotional trading. He deeply realized the  significant significance of quantitative trading in applying to all investment markets andtypes in the future, such as securities markets, various futures markets, cryptocurrency markets, foreign exchange markets, etc.\nCompared to subjective trading, quantitative trading can help investors/traders deal with many problems:\n\n![3.jpg](https://cdn.steemitimages.com/DQmSbDDcGQBeMaxQr25RMFaMwMVARtq8KhwtSkDfKQicZ2z/3.jpg)\n\n1. Emotional trading:\nQuantitative trading can help investors eliminate the influence of emotional factors on trading decisions, thus making trading more objective and rational.\n2. Transaction execution:\nQuantitative trading can automatically execute trading strategies and quickly respond to market changes, reducing human errors and delays.\n3.Big data analysis:\nQuantitative trading can utilize large-scale data and analysis tools to explore and analyze market patterns and trends, in order to discover potential trading opportunities.\n4. Risk control:\nQuantitative trading can apply strict risk management and stop loss strategies to protect investment portfolios from significant losses.\n5. Statistical advantages:\nExcessive trading allows investors to utilize statistical principles and mathematical models to improve the return and risk management capabilities of their investment portfolios.\n6. Market arbitrage:\nQuantitative trading can achieve market arbitrage and profit by quickly reflecting market price differences and potential conflicts of interest.\n7. Transaction cost optimization:\nQuantitative trading can reduce transaction costs through algorithms and execution strategies, such as low latency trading and high-frequency trading.\n8. Diversified investments:\nThrough quantitative trading, diversified investment strategies can be easily implemented, including trading in stocks, futures, forex, and other asset classes. Overall, quantitative\ntrading can help investors improve trading efficiency and returns in decision-making, execution, and risk management.",
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      "body": "Hello welcome to Steemit world! \n I'm @steem.history, who is steem witness. \n This is a recommended post for you.[Newcomers Guide](https://steemitdev.com/guide/@steemitblog/steemit-a-guide-for-newcomers) and [The Complete Steemit Etiquette Guide (Revision 2.0)](https://steemit.com/steem/@steem.history/the-complete-steemit-etiquette-guide-revision-20-homage-1598425779) and, recommended community [Newcomers Community](https://steemit.com/trending/hive-172186) \n I wish you luck to your steemit activities.<center> \n \n \n https://cdn.steemitimages.com/DQmXHwdcNs5VPcBft1iSosPdHLpBNBfjuG84g3ffWhMw5JQ/image.png \n <sub>(The bots avatar has been created using https://robohash.org/)</sub> \n @steem.history \n \n ### My witness activity \n - [My aspiration for STEEM witness](https://steemit.com/hive-185836/@steem.history/my-aspiration-for-steem-witness-1601280729) \n - Provides information on Steem.  \n [Reference](https://steemit.com/trending/hive-130095) \n - Supporting the Steem project. \n [SPUD4STEEM project](https://steemit.com/trending/spud4steem) \n - Supporting the community. \n ### My featured posts \n - [The Complete Steemit Etiquette Guide (Revision 2.0) -Homage](https://steemit.com/steem/@steem.history/the-complete-steemit-etiquette-guide-revision-20-homage-1598425779) \n \n [![image.png](https://cdn.steemitimages.com/DQmd7of2TpLGqvckkrReWahnkxMWH6eMg5upXesfsujDCnW/image.png)](https://steemlogin.com/sign/account-witness-vote?witness=steem.history&amp;approve=1) \n <sub>please click it!</sub> \n \n ![image.png](https://cdn.steemitimages.com/DQmWDnFh7Kcgj2gdPc5RgG9Cezc4Bapq8sQQJvrkxR8rx5z/image.png) \n <sub>(Go to https://steemit.com/~witnesses and type fbslo at the bottom of the page)</sub> \n \n </center>",
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      "body": "EVW tokens area specific type of cryptocurrency whose additional function is to support charitable causes through a portion of the token's value and the absorption of donations. Some of these projects use memory blockchain technology to ensure transparency and ensure that donated funds are used for beneficiaries.\n\n1. Transparency and traceability:\nMemory blockchain technology provides a decentralized way to record and verify every transaction of charitable activities. This can ensure that the flow of donations and resources is clearly visible, reducing corruption and false behavior in charitable activities. Donors can always check how their donations are being used, increasing trust and transparency.\n2.Reduce operating costs:\nMemory blockchain technology can simplify the operational process of charitable organizations and reduce the involvement of intermediaries. Through smart contracts, donations can be directly associated with charitable projects, eliminating intermediary links in traditional charitable organizations, reducing operating costs, and allowing more funds to be used for charitable activities.\n3 Enhance trust and engagement:\nBy utilizing memory blockchain technology, donors can better understand and evaluate the effectiveness and impact of charitable projects, thereby increasing trust. In addition, some memory blockchain platforms also provide social functions, allowing donors tocommunicate and share their charitable experiences with each other, further increasing participation.\n4 Enhance fundraising efficiency:\nTraditional fundraising methods typically require significant effort and cost, and their effectiveness is limited. By using memory blockchain technology, fundraising can be improved by issuing digital assets such as tokens or cryptocurrencies. In addition, through smart contracts, the fundraising process can be automated and simplified.\n\n![6.jpg](https://cdn.steemitimages.com/DQmYj2nyKZXM6t24BjozjKC54As5yrrHEwfdoWhGLwo8pAP/6.jpg)\n\nSummary\n\nArtificial intelligence is a product of the times and a result of human industrial revolution.Although the path of EVW's artificial intelligence is not smooth, we believe that combining the original technological achievements with the issuance of EVW tokens will bring revolutionary  results and make it a product that will subvert the investment industry!\n1. Powerful data analysis capabilities:\nVanguard AI Quantization 4.0 can quickly and accurately analyze large amounts of financial data,unaffected by subjective emotions and biases. It can automatically collect, organize, and interpret data, and make predictive and insightful decisions based on this data.\n\n2 Intelligent investment decision-making:\nVanguard AI Quantization 4.0 can quickly identify and capture investment opportunities, as well as predict price trends and market risks through learning and deep understanding of market dynamics. Its intelligent algorithms and models can be adjusted and optimized according to the actual dynamics of the market, thereby improving the return on investment.\n\n3. Optimize investment portfolio:\nVanguard AI Quantization 4.0 can automatically optimize investment portfolios based on individual risk preferences and investment goals. It can combine and allocate different assets and investment varieties to maximize asset growth and risk control. Through accurate risk assessment and diversified asset allocation, it can provide investors with more stable and sustainable investment returns.\n\n4. Instant monitoring and early warning:\nVanguard AI Quantization 4.0 can monitor market changes and portfolio performance in real-time. It can process and analyze the collected data through machine learning and data analysis algorithms based on preset indicators and rules, in order to discover abnormal patterns and  trends. These algorithms can set rules and learning models in advance to achieve automated data analysis.\nThe combination of artificial intelligence and the end of memory blockchain will completely change people's way of life; The Vanguard AI Quantization 4.0 investment system will completely change the magical tools of the investment industry!",
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