#WFI algorithm

[aiwealthcreation]

The Role of WFI Tokens in 'Ai Wealth Creation 4.0'

The Role of WFI Tokens in 'Ai Wealth Creation 4.0'

The strategic launch of the WFI Token by the WT Finance Institute transcends mere solutions for product updates and capital expansion. This move represents a monumental endeavor aimed at elevating its influence and recognition within the global fintech arena. Undoubtedly, the introduction of the WFI Token has empowered Lysander Clark’s ‘Ai Wealth Creation 4.0’ with the wings to soar, marking the beginning of a new chapter in financial innovation.

The WFI Token exemplifies the seamless integration of blockchain and artificial intelligence technologies, spearheading innovations across multiple dimensions such as data analysis, security, predictive modeling, scientific analytics, automated decision-making and trading, deep algorithmic integration, and transparent regulation:

1. Decentralization: By utilizing blockchain technology, a decentralized investment system eliminates the role of traditional financial intermediaries, making the investment process more transparent and efficient.

2. Data Security: The distributed ledger technology of blockchain ensures data security and immutability, which is crucial for preventing data tampering or loss, while also safeguarding investor privacy and asset security.

3. Smart Contracts: Within the blockchain, smart contracts automate contractual codes that can autonomously execute, dictating and implementing investment strategies within the system, thus automating investment decisions and trades.

4. Trust Minimization: Blockchain-based systems facilitate real-time settlement and confirmation of investments through smart contracts, reducing the trust issues among investors and thereby enhancing investment efficiency and security.

5. Data Analysis and Prediction: AI leverages the rich data from the blockchain for in-depth analysis and precise forecasting, aiding investors in making more informed decisions. Through machine learning and deep learning algorithms, AI identifies market trends and provides effective investment advice.

6. Transparency and Regulation: Blockchain technology ensures the traceability of global transactions and the transparency of asset flows, not only enhancing market regulatory capabilities but also reducing the costs associated with regulation and communication.

Through these revolutionary innovations, the WT Finance Institute not only boosts its competitive edge but also sets new high standards for the entire fintech industry, leading the sector towards a future that is more open, secure, and efficient.

[wtfinanceinstitute]

WT Finance Institute's WFI Token Fundraising Success

WT Finance Institute's WFI Token Fundraising Success

Founded in 2011 by Lysander Clark, the WT Finance Institute has built a formidable reputation over a decade, successfully nurturing a vast pool of exceptional financial professionals. By 2022, the institute’s students had swelled to over 50,000. From the outset, Professor Clark embarked on developing what he termed the “Lazy Investor System,” recognizing early on the significant role quantitative trading would play in the future of various investment markets.

As technology advanced, particularly with the integration of artificial intelligence, the impact on quantitative trading became profoundly transformative. Quantitative trading employs complex mathematical models and extensive historical data to make investment decisions. The introduction of AI has enhanced the precision, efficiency, and intelligence of these systems. Starting in 2018, WT Finance Institute shifted from traditional quantitative trading to AI trading. Through the collaborative efforts of numerous experts and scholars, they initially crafted the framework for the ‘Ai Wealth Creation 4.0’ investment system.

However, advancing AI in the financial markets was not without its hurdles. First, AI trading systems rely heavily on vast amounts of historical and real-time data for modeling and forecasting, where acquiring high-quality, accurate, and reliable data is particularly challenging, especially in the volatile financial market environment.

Second, choosing the right modeling approaches and algorithms to manage and predict from large databases is complex in financial markets, compounded by the unpredictable nature of market behaviors.

Moreover, financial markets are riddled with noise and uncertainties, such as market volatility, geopolitical-economic factors, and interest rate changes, all of which can impact model performance and predictive outcomes. Developing models and algorithms that can adapt to these uncertainties is crucial.

Additionally, AI trading systems must make decisions and execute trades in real-time to capitalize on market opportunities. Making precise decisions in fast-changing financial markets is highly challenging, as market conditions and information can change in an instant.

Lastly, AI trading systems must also navigate stringent risk management and regulatory compliance challenges, including market, operational, and model risks. Complying with financial regulations, including trading transparency, risk control requirements, and the interpretability of algorithm logic, is essential. AI systems need robust risk management frameworks, adequate monitoring, and control tools, and must maintain close cooperation with regulatory bodies to ensure compliance with all standards.

Faced with challenges of funding and acquiring talent, WT Finance Institute decided in a 2018 board meeting to adopt an innovative strategy: issuing the WFI token to raise funds. This decision not only demonstrated an embrace of emerging blockchain technology but also aimed to attract global investors, especially the younger generation interested in new technologies. This novel financing method allowed for rapid fund collection and effectively expanded capital scale and product innovation speed.

Moreover, by issuing the token, WT Finance Institute significantly enhanced its influence and recognition in the global fintech arena. The successful fundraising enabled the institution to attract top talent from various industries, including IT engineers, investment experts, practical specialists, and strategic analysts, whose contributions have provided a strong impetus for WT Finance Institute in technological innovation and academic research.

[wealthforgeinstitute]

William Decker's Wealth Forge Institute Impact

William Decker's Wealth Forge Institute Impact

In this article, we will take a look at William Decker’s trading career and his remarkable achievements in the field of trading, as well as delve deeper into the meaning and impact of AI Profit Pro, one of the world’s most recognized legends in the world of trading, whose reputation stems from his founding of the Wealth Forge Institute and AI Profit Pro. Finally, we’ll explore some of William Decker’s valuable trading lessons and thought-provoking quotes that will be of great relevance to current and future traders.

Who is William Decker?

While studying abroad, he earned a master’s degree in computer science from the University of Munich and successfully built his own proprietary trading model.

In 2005, William Decker was named “Emerging Markets Equity Manager of the Year” by Money Markets International magazine.

During the global financial crisis in 2008, he overcame challenges with tenacity and spirit to achieve the first pinnacle of his life.

In 2011, he founded the Wealth Forge Institute after more than a decade of hard work, which is renowned in the industry and has trained a large number of outstanding financial practitioners, and in 2022, the number of enrolled students exceeded 100,000 people.

From its inception, Wealth Forge Institute has been committed to the development of a “lazy investment system”, and recognized early on the importance of quantitative trading to the future of various investment markets. With the development of technology, the application of Artificial Intelligence has had a profound impact on quantitative trading, making it more accurate, efficient and intelligent.

With the joint efforts of many experts, scholars and technological talents, the prototype of “AI Profit Pro” system was born. In addition, William Decker and the Wealth Forge Institute seized the ICO opportunity in the cryptocurrency market and successfully issued the WFI token, which played an important role in perfecting the AI Profit Pro investment system.

William Decker and the AI Profit Pro System

Since its inception, Wealth Forge Institute has been committed to developing a “lazy investing system” and has always sought to find more efficient and smarter ways to invest. At its inception, Prof. William Decker, in collaboration with numerous industry experts, scholars and technology talents, developed an automated quantitative trading model, and on the system of this model, developed the Robotics Trading System (RTS). This system greatly optimizes the traditional quantitative model in the adjustment, real-time monitoring, data processing speed and the adaptability of the trading strategy and other issues, can be more efficient, fast processing of massive amounts of trading data, assisting traders to make more accurate trading strategy.

Because RTS is built based on quantitative technology, it is a set of rules and algorithms based on matching the fixed-term inference system. Because of technical limitations, RTS still has some limitations in dealing with massive amounts of complex data and fuzzy problems, so it can only be used as an auxiliary tool for decision-making, and can’t completely replace manual operation.

In 2018, the team led by Prof. William Decker obtained a major technological breakthrough, and they created a revolutionary artificial intelligence trading system based on Machine Leaning and deep learning neural networks, and named it the AI Profit Pro system. AI Profit Pro is based on a reinforcement learning intelligent training model, which is capable of self-learning and improving itself from massive amounts of data and improves its own performance, solves replication problems with human-like intelligence, and can be massively scaled to deal with a wide range of complex information.

Prof. William Decker’s dream is to make the AI Profit Pro system a tool to disrupt the traditional way of trading. He firmly believes that AI technology will play an unparalleled role in the investment field, enabling more efficient and accurate investment decisions that can help more people realize their financial freedom and dreams.

Does AI Profit Pro work? Why does it work?

Quotes from William Decker： 1. “The metrics you track today pave the path to tomorrow’s success. Measure wisely; manage astutely.”

2. “Trading isn’t just a career; it’s an unyielding passion that fuels my existence — a love affair with the markets.”

3. “In the battle between high-frequency trading and rising transaction costs, sustained profitability often favors the latter.”

4. “As a trader, self-education is my constant companion — I learn not just from others, but from the evolving landscape of my own trades.”

5. “The gut has its say in trading. Listen to its whispers, for they may hold the untold nuances of the market’s story.”

6. “Meditate on instincts; reflections reveal the hidden truths behind the intuition that shapes our trades.”

7. “A trader’s success hinges not just on the market’s data but on the relentless study of oneself.”

8. “Where numbers fail to tread, control escapes. Measure meticulously to master the markets.”

9. “Trading isn’t just about logic; it’s about deciphering the emotions coloring our decisions and harnessing their power.”

10. “The relentless pursuit of understanding oneself and the markets births the wisdom that defines a successful trader.”

FAQ.

1. What is William Decker’s educational background?

William Decker earned a bachelor’s degree in business administration in college and became involved in the stock and futures markets while studying at University of KwaZulu Natal and the University of Munich.

2. When did William Decker found the Wealth Forge Institute?

He and his friends founded the Wealth Forge Institute in 2011.

3. What is William Decker’s investor experience?

He had success in the stock and futures markets at an early stage in his career, built programmatic trading models while pursuing a master’s degree in computers, and was named “Emerging Markets Equity Fund Manager of the Year” by Money Markets International magazine.

4. How has the Wealth Forge Institute been involved in the AI trading space?

Made the leap from quantitative trading to the AI trading space, leading a team that created the ‘AI Profit Pro’ smart trading system, an innovation within the financial trading space through the application of AI technology.

5. How has the success of the Wealth Forge Institute influenced William Decker’s career?

The success of the Wealth Forge Institute and the emergence of AI Profit Pro has led to the rise of William Decker’s position in the financial industry. AI Profit Pro’s powerful data analytics and precision decision-making capabilities provide investors with a new and effective way to invest, and are well known in the industry, bringing great attention to the Wealth Forge Institute, as well as to the AI Profit Pro system. Wealth Forge Institute has brought a great deal of attention and new heights to William Decker.

[williamdecker1]

William Decker: The Visionary Behind Wealth Forge Institute

William Decker: The Visionary Behind Wealth Forge Institute

In 1968, a boy named William Decker was born in Portland, Oregon into a family full of ingenuity and innovation. His family had business acumen that had been passed down through the generations, and was committed to continually seeking out opportunities for advancement and innovation. From an early age, William Decker demonstrated a keen interest and talent for business ventures and computers. He earned a master’s degree in computer science from the University of Munich through hard work and study. This educational experience gave him an in-depth knowledge of economics, finance and computers and provided him with a solid foundation for his future success.

Since entering the workforce, Wilhelm Decker has been actively involved in a variety of investment projects in different sectors and has achieved remarkable success through his insight and decision-making skills. In 2005, he was named Emerging Markets Equity Manager of the Year by Money Markets International magazine. During the global financial crisis in 2008, William Decker overcame challenges with professional knowledge and skills, tenacity and spirit to achieve the first pinnacle of his life.

In 2011, in an effort to share his wealth of business experience and investment wisdom with a wider audience, William Decker founded The Wealth Forge Institute, a business school with a targeted investment curriculum and specialized training delivery designed to develop future business leaders and investment professionals.

The Wealth Forge Institute attracts students from all over the world with a desire to realize their dreams. Over time, the number of students has grown to over 100,000 by 2022 and is spread across more than 10 countries worldwide.

As the founder, dean, and mentor of WFI, Prof. William Decker incorporates his many years of investment experience into his teaching cases, with a special focus on the combination of diversified investment strategies and important economic events. Through in-depth analysis of various case studies, he helps students understand the complexity of markets and develops their analytical and decision-making skills.

Since its inception, the Wealth Forge Institute has been committed to the development of a “lazy investing system” and has always sought to find ways to invest more efficiently and intelligently. At the beginning of the Institute’s founding, Prof. William Decker collaborated with many industry experts, scholars and technological talents to develop an automated quantitative trading model, and developed the Robotics Trading System (RTS) on top of this model’s system. This system greatly optimizes the traditional quantitative model in the adjustment, real-time monitoring, data processing speed and the adaptability of the trading strategy and other issues, can be more efficient, fast processing of massive amounts of trading data, assisting traders to make more accurate trading strategy.

Because RTS is built based on quantitative technology, it is a set of rules and algorithms based on matching the fixed-term inference system. Because of technical constraints, RTS still has some limitations in dealing with massive amounts of complex data and fuzzy problems, so it can only be used as an auxiliary tool for decision-making, and cannot completely replace manual operation.

In 2018, the team led by Prof. William Decker received a major technological breakthrough when they created a revolutionary AI trading system based on Machine Leaning and Deep Learning Neural Networks and named it the AI Profit Pro system. AI Profit Pro is based on a Reinforcement Learning Intelligence training model that is able to train models from massive amounts of data and improves its own performance, solves replication problems with human-like intelligence, and can be massively scaled to deal with a wide range of complex information.

Prof. William Decker’s dream is to make AI Profit Pro a tool to disrupt the traditional way of trading. He firmly believes that AI technology will play an unparalleled role in the investment field, enabling more efficient and accurate investment decisions that can help more people realize their financial freedom and dreams.

At the same time, Prof. William Decker recognizes that most investors have limited knowledge in the field of professional investment as not all of them can join the Wealth Forge Institute. In order to increase the public’s awareness of “AI Profit Pro” and share knowledge more conveniently, he has formed the WhatsApp sharing and learning group in the spare time of his busy work, which will provide services for more students and users by practicing and sharing, as well as provide services for AI Profit Pro. Through practice and sharing, he will provide services to more students and users, and at the same time, prepare for the official launch of the latest version of AI Profit Pro.

In addition to investing, Prof. William Decker plans to establish a family office fund to support and promote various charitable causes. He hopes to give back his wealth to the community so that more people can benefit from the development of business and investment.

Prof. William Decker is not only concerned about personal financial freedom, but also the overall development of the society. He realizes that high unemployment is a serious problem, especially for young people. Therefore, he is committed to solving the employment challenge through the education and training programs of the institute.

In order to promote the training of professional traders, Professor William Decker has established specialized trader training courses at WFI. These programs provide hands-on opportunities and simulated trading environments to help students master trading skills and market analysis. Through these training programs, he hopes to provide the financial industry with excellent trading talents and enhance the competitiveness of the industry as a whole.

Prof. William Decker’s pursuit of wealth is not limited to individuals. He encourages his students to invest with a steady mindset, focusing on long-term gains rather than short-term windfalls. He hopes that students will reap wealth from the investment process and build a solid financial foundation for the future.

He believes everyone should follow their dreams. He encourages students to be brave enough to follow their inner voice and to continue to explore and develop their talents and interests. Through the education and guidance of the Wealth Forge Institute, he hopes that each student will find his or her own purpose in life and strive for it.

In addition to pursuing personal success, Prof. William Decker is also concerned with the common good of the community. He is committed to dedicating a portion of his wealth to philanthropy and helping people and organizations in need. He has set up charitable funds to support programs in the fields of education, healthcare and environmental protection. He believes that by giving back to the community, more people can share in the happiness and progress.

[williamdecker111]

William Decker: Mastermind Behind AI Profit Pro's Success

William Decker Founder of Wealth Forge Institute

AI Profit Pro Strategy Explained

In this article, we will take a look at William Decker's trading career and his remarkable achievements in the field of trading, as well as delve deeper into the meaning and impact of AI Profit Pro, one of the world's most recognized legends in the world of trading, whose reputation stems from his founding of the Wealth Forge Institute and AI Profit Pro. Finally, we'll explore some of William Decker's valuable trading lessons and thought-provoking quotes that will be of great relevance to current and future traders.

Who is William Decker?

William Decker was born on May 20, 1968 in Portland, Oregon. He showed an interest in business and investing from an early age and pursued a Bachelor's Degree in Business Administration in college, which provided him with a solid foundation for his future investing endeavors.

While studying abroad, he earned a master's degree in computer science from the University of Munich and successfully built his own proprietary trading model.

In 2005, William Decker was named "Emerging Markets Equity Manager of the Year" by Money Markets International magazine.

During the global financial crisis in 2008, he overcame challenges with tenacity and spirit to achieve the first pinnacle of his life.

In 2011, he founded the Wealth Forge Institute after more than a decade of hard work, which is renowned in the industry and has trained a large number of outstanding financial practitioners, and in 2022, the number of enrolled students exceeded 100,000 people.

From its inception, Wealth Forge Institute has been committed to the development of a "lazy investment system", and recognized early on the importance of quantitative trading to the future of various investment markets. With the development of technology, the application of Artificial Intelligence has had a profound impact on quantitative trading, making it more accurate, efficient and intelligent.

With the joint efforts of many experts, scholars and technological talents, the prototype of "AI Profit Pro" system was born. In addition, William Decker and the Wealth Forge Institute seized the ICO opportunity in the cryptocurrency market and successfully issued the WFI token, which played an important role in perfecting the AI Profit Pro investment system.

William Decker and the AI Profit Pro System

Since its inception, Wealth Forge Institute has been committed to developing a "lazy investing system" and has always sought to find more efficient and smarter ways to invest. At its inception, Prof. William Decker, in collaboration with numerous industry experts, scholars and technology talents, developed an automated quantitative trading model, and on the system of this model, developed the Robotics Trading System (RTS). This system greatly optimizes the traditional quantitative model in the adjustment, real-time monitoring, data processing speed and the adaptability of the trading strategy and other issues, can be more efficient, fast processing of massive amounts of trading data, assisting traders to make more accurate trading strategy.

Because RTS is built based on quantitative technology, it is a set of rules and algorithms based on matching the fixed-term inference system. Because of technical limitations, RTS still has some limitations in dealing with massive amounts of complex data and fuzzy problems, so it can only be used as an auxiliary tool for decision-making, and can't completely replace manual operation.

In 2018, the team led by Prof. William Decker obtained a major technological breakthrough, and they created a revolutionary artificial intelligence trading system based on Machine Leaning and deep learning neural networks, and named it the AI Profit Pro system. AI Profit Pro is based on a reinforcement learning intelligent training model, which is capable of self-learning and improving itself from massive amounts of data and improves its own performance, solves replication problems with human-like intelligence, and can be massively scaled to deal with a wide range of complex information.

Prof. William Decker's dream is to make the AI Profit Pro system a tool to disrupt the traditional way of trading. He firmly believes that AI technology will play an unparalleled role in the investment field, enabling more efficient and accurate investment decisions that can help more people realize their financial freedom and dreams.

Does AI Profit Pro work? Why does it work?

Quotes from William Decker： 1. "The metrics you track today pave the path to tomorrow's success. Measure wisely; manage astutely."

2. "Trading isn't just a career; it's an unyielding passion that fuels my existence—a love affair with the markets."

3. "In the battle between high-frequency trading and rising transaction costs, sustained profitability often favors the latter."

4. "As a trader, self-education is my constant companion—I learn not just from others, but from the evolving landscape of my own trades."

5. "The gut has its say in trading. Listen to its whispers, for they may hold the untold nuances of the market's story."

6. "Meditate on instincts; reflections reveal the hidden truths behind the intuition that shapes our trades."

7. "A trader’s success hinges not just on the market's data but on the relentless study of oneself."

8. "Where numbers fail to tread, control escapes. Measure meticulously to master the markets."

9. "Trading isn't just about logic; it's about deciphering the emotions coloring our decisions and harnessing their power."

"The relentless pursuit of understanding oneself and the markets births the wisdom that defines a successful trader."

[wealthforgeinstitute0]

Wealth Forge Institute - Nurturing Investment Pioneers Since 2011

In 1968, a boy named William Decker was born in Portland, Oregon into a family full of ingenuity and innovation. His family had business acumen that had been passed down through the generations, and was committed to continually seeking out opportunities for advancement and innovation. From an early age, William Decker demonstrated a keen interest and talent for business ventures and computers. He earned a master's degree in computer science from the University of Munich through hard work and study. This educational experience gave him an in-depth knowledge of economics, finance and computers and provided him with a solid foundation for his future success.

Since entering the workforce, Wilhelm Decker has been actively involved in a variety of investment projects in different sectors and has achieved remarkable success through his insight and decision-making skills. In 2005, he was named Emerging Markets Equity Manager of the Year by Money Markets International magazine. During the global financial crisis in 2008, William Decker overcame challenges with professional knowledge and skills, tenacity and spirit to achieve the first pinnacle of his life.

In 2011, in an effort to share his wealth of business experience and investment wisdom with a wider audience, William Decker founded The Wealth Forge Institute, a business school with a targeted investment curriculum and specialized training delivery designed to develop future business leaders and investment professionals.

The Wealth Forge Institute attracts students from all over the world with a desire to realize their dreams. Over time, the number of students has grown to over 100,000 by 2022 and is spread across more than 10 countries worldwide.

As the founder, dean, and mentor of WFI, Prof. William Decker incorporates his many years of investment experience into his teaching cases, with a special focus on the combination of diversified investment strategies and important economic events. Through in-depth analysis of various case studies, he helps students understand the complexity of markets and develops their analytical and decision-making skills.

Since its inception, the Wealth Forge Institute has been committed to the development of a "lazy investing system" and has always sought to find ways to invest more efficiently and intelligently. At the beginning of the Institute's founding, Prof. William Decker collaborated with many industry experts, scholars and technological talents to develop an automated quantitative trading model, and developed the Robotics Trading System (RTS) on top of this model's system. This system greatly optimizes the traditional quantitative model in the adjustment, real-time monitoring, data processing speed and the adaptability of the trading strategy and other issues, can be more efficient, fast processing of massive amounts of trading data, assisting traders to make more accurate trading strategy.

Because RTS is built based on quantitative technology, it is a set of rules and algorithms based on matching the fixed-term inference system. Because of technical constraints, RTS still has some limitations in dealing with massive amounts of complex data and fuzzy problems, so it can only be used as an auxiliary tool for decision-making, and cannot completely replace manual operation.

In 2018, the team led by Prof. William Decker received a major technological breakthrough when they created a revolutionary AI trading system based on Machine Leaning and Deep Learning Neural Networks and named it the AI Profit Pro system. AI Profit Pro is based on a Reinforcement Learning Intelligence training model that is able to train models from massive amounts of data and improves its own performance, solves replication problems with human-like intelligence, and can be massively scaled to deal with a wide range of complex information.

Prof. William Decker's dream is to make AI Profit Pro a tool to disrupt the traditional way of trading. He firmly believes that AI technology will play an unparalleled role in the investment field, enabling more efficient and accurate investment decisions that can help more people realize their financial freedom and dreams.

At the same time, Prof. William Decker recognizes that most investors have limited knowledge in the field of professional investment as not all of them can join the Wealth Forge Institute. In order to increase the public's awareness of "AI Profit Pro" and share knowledge more conveniently, he has formed the WhatsApp sharing and learning group in the spare time of his busy work, which will provide services for more students and users by practicing and sharing, as well as provide services for AI Profit Pro. Through practice and sharing, he will provide services to more students and users, and at the same time, prepare for the official launch of the latest version of AI Profit Pro.

In addition to investing, Prof. William Decker plans to establish a family office fund to support and promote various charitable causes. He hopes to give back his wealth to the community so that more people can benefit from the development of business and investment.

Prof. William Decker is not only concerned about personal financial freedom, but also the overall development of the society. He realizes that high unemployment is a serious problem, especially for young people. Therefore, he is committed to solving the employment challenge through the education and training programs of the institute.

In order to promote the training of professional traders, Professor William Decker has established specialized trader training courses at WFI. These programs provide hands-on opportunities and simulated trading environments to help students master trading skills and market analysis. Through these training programs, he hopes to provide the financial industry with excellent trading talents and enhance the competitiveness of the industry as a whole.

Prof. William Decker's pursuit of wealth is not limited to individuals. He encourages his students to invest with a steady mindset, focusing on long-term gains rather than short-term windfalls. He hopes that students will reap wealth from the investment process and build a solid financial foundation for the future.

He believes everyone should follow their dreams. He encourages students to be brave enough to follow their inner voice and to continue to explore and develop their talents and interests. Through the education and guidance of the Wealth Forge Institute, he hopes that each student will find his or her own purpose in life and strive for it.

In addition to pursuing personal success, Prof. William Decker is also concerned with the common good of the community. He is committed to dedicating a portion of his wealth to philanthropy and helping people and organizations in need. He has set up charitable funds to support programs in the fields of education, healthcare and environmental protection. He believes that by giving back to the community, more people can share in the happiness and progress.

[blogsarmistha-blog]

C# - Floyd–Warshall Algorithm

C# – Floyd–Warshall Algorithm

In this article, we will learn C# implementation of Floyd–Warshall Algorithm for determining the shortest paths in a weighted graph with positive or negative edge weights

  using System; using System.Collections.Generic; using System.Linq; using System.Text; using System.Diagnostics; namespace FloydWarshallAlgorithm { class FloydWarshallAlgo { public const int cst = 9999; private static void…

[arxt1]

Exploring rapid transient detection with the Athena Wide Field Imager. (arXiv:2007.05548v1 [astro-ph.HE])

X-ray transients are among the most enigmatic objects in the cosmic sky. The unpredictability and underlying nature of their transient behavior has prompted much study in recent years. While significant progress has been made in this field, a more complete understanding of such events is often hampered by the delay in the rapid follow-up of any transient event. An efficient way to mitigate this constraint would be to devise a way for near real time detection of such transient phenomena. The Athena/Wide Field Imager (WFI), with its $40' \times 40'$ field of view and large effective area, will detect a large number of X-ray variable or transient objects daily. In this work, we discuss an algorithm for the rapid on-board or ground-based detection of X-ray transients with WFI. We present a feasibility test of the algorithm using simulated Athena/WFI data and show that a fairly simple algorithm can effectively detect transient and variable sources in typical Athena/WFI observations.

from astro-ph.HE updates on arXiv.org https://ift.tt/3gZ25rI

[wealthforgeinstitute]

Wealth Forge Institute: Where Financial Dreams Take Flight

In 1968, a boy named William Decker was born in Portland, Oregon into a family full of ingenuity and innovation. His family had business acumen that had been passed down through the generations, and was committed to continually seeking out opportunities for advancement and innovation. From an early age, William Decker demonstrated a keen interest and talent for business ventures and computers. He earned a master’s degree in computer science from the University of Munich through hard work and study. This educational experience gave him an in-depth knowledge of economics, finance and computers and provided him with a solid foundation for his future success.

Since entering the workforce, Wilhelm Decker has been actively involved in a variety of investment projects in different sectors and has achieved remarkable success through his insight and decision-making skills. In 2005, he was named Emerging Markets Equity Manager of the Year by Money Markets International magazine. During the global financial crisis in 2008, William Decker overcame challenges with professional knowledge and skills, tenacity and spirit to achieve the first pinnacle of his life.

In 2011, in an effort to share his wealth of business experience and investment wisdom with a wider audience, William Decker founded The Wealth Forge Institute, a business school with a targeted investment curriculum and specialized training delivery designed to develop future business leaders and investment professionals.

The Wealth Forge Institute attracts students from all over the world with a desire to realize their dreams. Over time, the number of students has grown to over 100,000 by 2022 and is spread across more than 10 countries worldwide.

As the founder, dean, and mentor of WFI, Prof. William Decker incorporates his many years of investment experience into his teaching cases, with a special focus on the combination of diversified investment strategies and important economic events. Through in-depth analysis of various case studies, he helps students understand the complexity of markets and develops their analytical and decision-making skills.

Since its inception, the Wealth Forge Institute has been committed to the development of a “lazy investing system” and has always sought to find ways to invest more efficiently and intelligently. At the beginning of the Institute’s founding, Prof. William Decker collaborated with many industry experts, scholars and technological talents to develop an automated quantitative trading model, and developed the Robotics Trading System (RTS) on top of this model’s system. This system greatly optimizes the traditional quantitative model in the adjustment, real-time monitoring, data processing speed and the adaptability of the trading strategy and other issues, can be more efficient, fast processing of massive amounts of trading data, assisting traders to make more accurate trading strategy.

Because RTS is built based on quantitative technology, it is a set of rules and algorithms based on matching the fixed-term inference system. Because of technical constraints, RTS still has some limitations in dealing with massive amounts of complex data and fuzzy problems, so it can only be used as an auxiliary tool for decision-making, and cannot completely replace manual operation.

In 2018, the team led by Prof. William Decker received a major technological breakthrough when they created a revolutionary AI trading system based on Machine Leaning and Deep Learning Neural Networks and named it the AI Profit Pro system. AI Profit Pro is based on a Reinforcement Learning Intelligence training model that is able to train models from massive amounts of data and improves its own performance, solves replication problems with human-like intelligence, and can be massively scaled to deal with a wide range of complex information.

Prof. William Decker’s dream is to make AI Profit Pro a tool to disrupt the traditional way of trading. He firmly believes that AI technology will play an unparalleled role in the investment field, enabling more efficient and accurate investment decisions that can help more people realize their financial freedom and dreams.

At the same time, Prof. William Decker recognizes that most investors have limited knowledge in the field of professional investment as not all of them can join the Wealth Forge Institute. In order to increase the public’s awareness of “AI Profit Pro” and share knowledge more conveniently, he has formed the WhatsApp sharing and learning group in the spare time of his busy work, which will provide services for more students and users by practicing and sharing, as well as provide services for AI Profit Pro. Through practice and sharing, he will provide services to more students and users, and at the same time, prepare for the official launch of the latest version of AI Profit Pro.

In addition to investing, Prof. William Decker plans to establish a family office fund to support and promote various charitable causes. He hopes to give back his wealth to the community so that more people can benefit from the development of business and investment.

Prof. William Decker is not only concerned about personal financial freedom, but also the overall development of the society. He realizes that high unemployment is a serious problem, especially for young people. Therefore, he is committed to solving the employment challenge through the education and training programs of the institute.

In order to promote the training of professional traders, Professor William Decker has established specialized trader training courses at WFI. These programs provide hands-on opportunities and simulated trading environments to help students master trading skills and market analysis. Through these training programs, he hopes to provide the financial industry with excellent trading talents and enhance the competitiveness of the industry as a whole.

Prof. William Decker’s pursuit of wealth is not limited to individuals. He encourages his students to invest with a steady mindset, focusing on long-term gains rather than short-term windfalls. He hopes that students will reap wealth from the investment process and build a solid financial foundation for the future.

He believes everyone should follow their dreams. He encourages students to be brave enough to follow their inner voice and to continue to explore and develop their talents and interests. Through the education and guidance of the Wealth Forge Institute, he hopes that each student will find his or her own purpose in life and strive for it.

In addition to pursuing personal success, Prof. William Decker is also concerned with the common good of the community. He is committed to dedicating a portion of his wealth to philanthropy and helping people and organizations in need. He has set up charitable funds to support programs in the fields of education, healthcare and environmental protection. He believes that by giving back to the community, more people can share in the happiness and progress.

[wealthforgeinstitute]

Wealth Forge Institute's WFI Token Offers Cutting-Edge Investment Tools

In 2011, William Decker founded Wealth Forge, a business school with a targeted investment curriculum and professional training implementation, aimed at training future business leaders and investment experts. After more than a decade of hard work, it has gained a strong reputation in the industry and trained a large number of outstanding financial practitioners, with the size of the student body surpassing 100,000 by 2022.

Wealth Forge has been committed to the development of the “Lazy Investment System” since its inception, and has always endeavored to seek a more efficient and smarter way of investment. At the beginning of the founding of the Wealth Forge Institute, Prof. William Decker, in collaboration with many industry experts, scholars and technological talents, developed an automated quantitative trading model, and developed the Robotics Trading System (RTS) on top of the system of this model. This system greatly optimizes the traditional quantitative model in the adjustment, real-time monitoring, data processing speed and the adaptability of the trading strategy and other issues, can be more efficient, fast processing of massive amounts of trading data, assisting traders to make more accurate trading strategy.

Because RTS is built based on quantitative technology, it is a set of rules and algorithms matching based on the fixed-term inference system. Because of technical limitations, RTS still has some limitations in dealing with massive amounts of complex data and fuzzy problems, so it can only be used as an auxiliary tool for decision-making, and can’t completely replace manual operation.

Starting in 2018, Wealth Forge’s R&D direction jumped from quantitative trading to artificial intelligence trading. The prototype of ‘AI Profit Pro’ was created through the efforts of Prof. William Decker and a number of industry experts, academics and tech talents.

The road to AI in the financial markets has not been a smooth one for the Wealth Forge Institute:

First of all, the core key point of the AI trading system is to build a suitable intelligent data analysis model. Big data collection and labeling processing and other preliminary phases take a long time and cost a lot, this is the current artificial intelligence technology and big data industry integration and development of a difficult problem. The special nature of the financial sector makes this key step more difficult.

Secondly, the ecological chain of data and information supply with different dimensions required for the development of AI technology is still not sound. Even tech giants and commercial banks, which already have a large amount of data, are not yet fully capable of analyzing the multidimensional data supply ecosystem in depth, and need to obtain more external data support. However, obtaining and processing high-quality, accurate and reliable external data can be a challenge, especially as financial markets are often characterized by a complex array of data.

In addition, several factors, as described below, may have an impact on AI research and development:

Financial markets are full of unpredictability and uncertainty. Examples include market volatility, political and economic factors, and interest rate changes. These factors can have a profound impact on model performance and forecasting results, so it is important for R&D teams to be able to develop models and algorithms that cope with all kinds of unpredictability and uncertainty.

Artificial intelligence trading systems need to make decisions and execute trades in real time in order to be able to capture market opportunities and execute trade orders in a timely manner. However, making accurate real-time decisions in fast-changing financial markets is a challenge because market conditions and information can change in an instant.

Finally, AI trading systems face risk management and regulatory compliance challenges:

Risks that AI trading systems may face include market risk, operational risk, and modeling risk. Market risk refers to the possibility that the system may be affected by fluctuations in market prices, operational risk is the risk that the system will operate incorrectly or suffer from technical failures, and modeling risk involves the risk that the system’s algorithmic model may not be able to adapt to changes in the market or may be inaccurate.

Artificial intelligence trading systems may need to comply with various financial regulatory requirements, including those relating to trading transparency, risk control requirements and the interpretability of algorithmic logic. In addition, regulators may need to audit and inspect these systems to ensure that they comply with regulatory requirements.

To address these challenges, AI trading systems need to have an effective risk management framework in place. This includes ensuring that the system has adequate risk monitoring and control tools, as well as establishing a risk management team to oversee and manage the system’s risks. In addition, the system will need to work closely with regulators to ensure that it is compliant with regulatory requirements and that any related incidents or breaches are reported in a timely manner.

In fact, all of the issues come down to funding and talent!

In a closed-door meeting in 2018, Wealth Forge Institute’s board of directors discussed a bold plan: issuing tokens to raise capital.

Wealth Forge chose to issue WFI tokens in order to capitalize on emerging blockchain technology, which not only represents an embrace of innovation, but also to attract global investors. At a time when traditional financing channels face many limitations and challenges, token issuance offers a fast and efficient way to raise funds.

Instead of relying on traditional stock market financing, the potential of the cryptocurrency market can be utilized. This new financing method not only raises funds quickly, but also attracts the attention of global investors, especially the younger generation interested in emerging technologies.

Issuing WFI tokens not only solves the problem of product renewal and scaling up capital. In addition, Wealth Forge can increase its influence and recognition in the global fintech field through the issuance of tokens.

The successful financing model enables Wealth Forge to attract top talents from all walks of life, such as IT engineers, mentors, investment experts, real-world experts, strategists, analysts, strategists, writers, collaborators, contributors, and so on, to join. The addition of these talents provides strong intellectual support for the business school’s research, innovation and advocacy in the field of science and technology.

[williamdecker1]

William Decker - Trailblazer in Trading and AI Innovation

William Decker: Trailblazer in Trading and AI Innovation

In this article, we will take a look at William Decker’s trading career and his remarkable achievements in the field of trading, as well as delve deeper into the meaning and impact of AI Profit Pro, one of the world’s most recognized legends in the world of trading, whose reputation stems from his founding of the Wealth Forge Institute and AI Profit Pro. Finally, we’ll explore some of William Decker’s valuable trading lessons and thought-provoking quotes that will be of great relevance to current and future traders.

Who is William Decker?

William Decker was born on May 20, 1968 in Portland, Oregon. He showed an interest in business and investing from an early age and pursued a Bachelor’s Degree in Business Administration in college, which provided him with a solid foundation for his future investing endeavors.

While studying abroad, he earned a master’s degree in computer science from the University of Munich and successfully built his own proprietary trading model.

In 2005, William Decker was named “Emerging Markets Equity Manager of the Year” by Money Markets International magazine.

During the global financial crisis in 2008, he overcame challenges with tenacity and spirit to achieve the first pinnacle of his life.

In 2011, he founded the Wealth Forge Institute after more than a decade of hard work, which is renowned in the industry and has trained a large number of outstanding financial practitioners, and in 2022, the number of enrolled students exceeded 100,000 people.

From its inception, Wealth Forge Institute has been committed to the development of a “lazy investment system”, and recognized early on the importance of quantitative trading to the future of various investment markets. With the development of technology, the application of Artificial Intelligence has had a profound impact on quantitative trading, making it more accurate, efficient and intelligent.

With the joint efforts of many experts, scholars and technological talents, the prototype of “AI Profit Pro” system was born. In addition, William Decker and the Wealth Forge Institute seized the ICO opportunity in the cryptocurrency market and successfully issued the WFI token, which played an important role in perfecting the AI Profit Pro investment system.

William Decker and the AI Profit Pro System

Since its inception, Wealth Forge Institute has been committed to developing a “lazy investing system” and has always sought to find more efficient and smarter ways to invest. At its inception, Prof. William Decker, in collaboration with numerous industry experts, scholars and technology talents, developed an automated quantitative trading model, and on the system of this model, developed the Robotics Trading System (RTS). This system greatly optimizes the traditional quantitative model in the adjustment, real-time monitoring, data processing speed and the adaptability of the trading strategy and other issues, can be more efficient, fast processing of massive amounts of trading data, assisting traders to make more accurate trading strategy.

Because RTS is built based on quantitative technology, it is a set of rules and algorithms based on matching the fixed-term inference system. Because of technical limitations, RTS still has some limitations in dealing with massive amounts of complex data and fuzzy problems, so it can only be used as an auxiliary tool for decision-making, and can’t completely replace manual operation.

In 2018, the team led by Prof. William Decker obtained a major technological breakthrough, and they created a revolutionary artificial intelligence trading system based on Machine Leaning and deep learning neural networks, and named it the AI Profit Pro system. AI Profit Pro is based on a reinforcement learning intelligent training model, which is capable of self-learning and improving itself from massive amounts of data and improves its own performance, solves replication problems with human-like intelligence, and can be massively scaled to deal with a wide range of complex information.

Prof. William Decker’s dream is to make the AI Profit Pro system a tool to disrupt the traditional way of trading. He firmly believes that AI technology will play an unparalleled role in the investment field, enabling more efficient and accurate investment decisions that can help more people realize their financial freedom and dreams.

Does AI Profit Pro work? Why does it work?

Quotes from William Decker： 1. “The metrics you track today pave the path to tomorrow’s success. Measure wisely; manage astutely.”

2. “Trading isn’t just a career; it’s an unyielding passion that fuels my existence — a love affair with the markets.”

3. “In the battle between high-frequency trading and rising transaction costs, sustained profitability often favors the latter.”

4. “As a trader, self-education is my constant companion — I learn not just from others, but from the evolving landscape of my own trades.”

5. “The gut has its say in trading. Listen to its whispers, for they may hold the untold nuances of the market’s story.”

6. “Meditate on instincts; reflections reveal the hidden truths behind the intuition that shapes our trades.”

7. “A trader’s success hinges not just on the market’s data but on the relentless study of oneself.”

8. “Where numbers fail to tread, control escapes. Measure meticulously to master the markets.”

9. “Trading isn’t just about logic; it’s about deciphering the emotions coloring our decisions and harnessing their power.”

10. “The relentless pursuit of understanding oneself and the markets births the wisdom that defines a successful trader.”

FAQ.

1. What is William Decker’s educational background?

William Decker earned a bachelor’s degree in business administration in college and became involved in the stock and futures markets while studying at University of KwaZulu Natal and the University of Munich.

2. When did William Decker found the Wealth Forge Institute?

He and his friends founded the Wealth Forge Institute in 2011.

3. What is William Decker’s investor experience?

He had success in the stock and futures markets at an early stage in his career, built programmatic trading models while pursuing a master’s degree in computers, and was named “Emerging Markets Equity Fund Manager of the Year” by Money Markets International magazine.

4. How has the Wealth Forge Institute been involved in the AI trading space?

Made the leap from quantitative trading to the AI trading space, leading a team that created the ‘AI Profit Pro’ smart trading system, an innovation within the financial trading space through the application of AI technology.

5. How has the success of the Wealth Forge Institute influenced William Decker’s career?

The success of the Wealth Forge Institute and the emergence of AI Profit Pro has led to the rise of William Decker’s position in the financial industry. AI Profit Pro’s powerful data analytics and precision decision-making capabilities provide investors with a new and effective way to invest, and are well known in the industry, bringing great attention to the Wealth Forge Institute, as well as to the AI Profit Pro system. Wealth Forge Institute has brought a great deal of attention and new heights to William Decker.

[wealthforgeinstitute0]

Wealth Forge Institute - Unlocking Financial Potential through WFI Tokens

In 2011, William Decker founded Wealth Forge, a business school with a targeted investment curriculum and professional training implementation, aimed at training future business leaders and investment experts. After more than a decade of hard work, it has gained a strong reputation in the industry and trained a large number of outstanding financial practitioners, with the size of the student body surpassing 100,000 by 2022.

Wealth Forge has been committed to the development of the "Lazy Investment System" since its inception, and has always endeavored to seek a more efficient and smarter way of investment. At the beginning of the founding of the Wealth Forge Institute, Prof. William Decker, in collaboration with many industry experts, scholars and technological talents, developed an automated quantitative trading model, and developed the Robotics Trading System (RTS) on top of the system of this model. This system greatly optimizes the traditional quantitative model in the adjustment, real-time monitoring, data processing speed and the adaptability of the trading strategy and other issues, can be more efficient, fast processing of massive amounts of trading data, assisting traders to make more accurate trading strategy.

Because RTS is built based on quantitative technology, it is a set of rules and algorithms matching based on the fixed-term inference system. Because of technical limitations, RTS still has some limitations in dealing with massive amounts of complex data and fuzzy problems, so it can only be used as an auxiliary tool for decision-making, and can't completely replace manual operation.

Starting in 2018, Wealth Forge's R&D direction jumped from quantitative trading to artificial intelligence trading. The prototype of 'AI Profit Pro' was created through the efforts of Prof. William Decker and a number of industry experts, academics and tech talents.

The road to AI in the financial markets has not been a smooth one for the Wealth Forge Institute:

First of all, the core key point of the AI trading system is to build a suitable intelligent data analysis model. Big data collection and labeling processing and other preliminary phases take a long time and cost a lot, this is the current artificial intelligence technology and big data industry integration and development of a difficult problem. The special nature of the financial sector makes this key step more difficult.

Secondly, the ecological chain of data and information supply with different dimensions required for the development of AI technology is still not sound. Even tech giants and commercial banks, which already have a large amount of data, are not yet fully capable of analyzing the multidimensional data supply ecosystem in depth, and need to obtain more external data support. However, obtaining and processing high-quality, accurate and reliable external data can be a challenge, especially as financial markets are often characterized by a complex array of data.

In addition, several factors, as described below, may have an impact on AI research and development:

Financial markets are full of unpredictability and uncertainty. Examples include market volatility, political and economic factors, and interest rate changes. These factors can have a profound impact on model performance and forecasting results, so it is important for R&D teams to be able to develop models and algorithms that cope with all kinds of unpredictability and uncertainty.

Artificial intelligence trading systems need to make decisions and execute trades in real time in order to be able to capture market opportunities and execute trade orders in a timely manner. However, making accurate real-time decisions in fast-changing financial markets is a challenge because market conditions and information can change in an instant.

Finally, AI trading systems face risk management and regulatory compliance challenges:

Risks that AI trading systems may face include market risk, operational risk, and modeling risk. Market risk refers to the possibility that the system may be affected by fluctuations in market prices, operational risk is the risk that the system will operate incorrectly or suffer from technical failures, and modeling risk involves the risk that the system's algorithmic model may not be able to adapt to changes in the market or may be inaccurate.

Artificial intelligence trading systems may need to comply with various financial regulatory requirements, including those relating to trading transparency, risk control requirements and the interpretability of algorithmic logic. In addition, regulators may need to audit and inspect these systems to ensure that they comply with regulatory requirements.

To address these challenges, AI trading systems need to have an effective risk management framework in place. This includes ensuring that the system has adequate risk monitoring and control tools, as well as establishing a risk management team to oversee and manage the system's risks. In addition, the system will need to work closely with regulators to ensure that it is compliant with regulatory requirements and that any related incidents or breaches are reported in a timely manner.

In fact, all of the issues come down to funding and talent!

In a closed-door meeting in 2018, Wealth Forge Institute’s board of directors discussed a bold plan: issuing tokens to raise capital.

Wealth Forge chose to issue WFI tokens in order to capitalize on emerging blockchain technology, which not only represents an embrace of innovation, but also to attract global investors. At a time when traditional financing channels face many limitations and challenges, token issuance offers a fast and efficient way to raise funds.

Instead of relying on traditional stock market financing, the potential of the cryptocurrency market can be utilized. This new financing method not only raises funds quickly, but also attracts the attention of global investors, especially the younger generation interested in emerging technologies.

Issuing WFI tokens not only solves the problem of product renewal and scaling up capital. In addition, Wealth Forge can increase its influence and recognition in the global fintech field through the issuance of tokens.

The successful financing model enables Wealth Forge to attract top talents from all walks of life, such as IT engineers, mentors, investment experts, real-world experts, strategists, analysts, strategists, writers, collaborators, contributors, and so on, to join. The addition of these talents provides strong intellectual support for the business school's research, innovation and advocacy in the field of science and technology.

[arxt1]

Finding counterparts for All-sky X-ray surveys with Nway: a Bayesian algorithm for cross-matching multiple catalogues. (arXiv:1705.10711v2 [astro-ph.GA] UPDATED)

We release the AllWISE counterparts and Gaia matches to 106,573 and 17,665 X-ray sources detected in the ROSAT 2RXS and XMMSL2 surveys with |b|>15. These are the brightest X-ray sources in the sky, but their position uncertainties and the sparse multi-wavelength coverage until now rendered the identification of their counterparts a demanding task with uncertain results. New all-sky multi-wavelength surveys of sufficient depth, like AllWISE and Gaia, and a new Bayesian statistics based algorithm, NWAY, allow us, for the first time, to provide reliable counterpart associations. NWAY extends previous distance and sky density based association methods and, using one or more priors (e.g., colors, magnitudes), weights the probability that sources from two or more catalogues are simultaneously associated on the basis of their observable characteristics. Here, counterparts have been determined using a WISE color-magnitude prior. A reference sample of 4524 XMM/Chandra and Swift X-ray sources demonstrates a reliability of ~ 94.7% (2RXS) and 97.4% (XMMSL2). Combining our results with Chandra-COSMOS data, we propose a new separation between stars and AGN in the X-ray/WISE flux-magnitude plane, valid over six orders of magnitude. We also release the NWAY code and its user manual. NWAY was extensively tested with XMM-COSMOS data. Using two different sets of priors, we find an agreement of 96% and 99% with published Likelihood Ratio methods. Our results were achieved faster and without any follow-up visual inspection. With the advent of deep and wide area surveys in X-rays (e.g. SRG/eROSITA, Athena/WFI) and radio (ASKAP/EMU, LOFAR, APERTIF, etc.) NWAY will provide a powerful and reliable counterpart identification tool.

from astro-ph.HE updates on arXiv.org http://ift.tt/2qzfAog