User
Write something
Uncovering Hidden Relationships in Finance Using AI and Graph Theory
I wanted to share something interesting I've been working on, combining AI and finance using graph theory to analyze how different financial assets influence each other. Essentially, what I’ve done is write code that looks at the relationships between stocks, currencies, and other assets to figure out which ones tend to "lead" or "lag" in their movements. It’s like a map of influence, showing how changes in one stock might predict changes in another. This can help us understand the market in a deeper way and even spot trends that aren’t immediately visible. For example, imagine Apple tends to rise just before Microsoft. By analyzing historical data, the code will detect that relationship and show how Apple "leads" Microsoft. The cool part is that it visualizes these relationships in a network graph, so we can easily see how different assets are connected. It’s a way to simplify the massive amount of data we deal with in financial markets into something we can understand and act on. This approach also allows us to group similar assets together. Using AI and clustering techniques, we can break down the complex financial web into more manageable clusters. Whether you're new to finance or AI, the goal is to use data and patterns to make better sense of the world around us. I’m excited to see how these tools can help us all understand the markets in new ways and make more informed decisions. Let me know what you think and if you have any questions! We demonstrate the relationships with the past 2 years of data on the left, and how it has changed in the past 6 months on the right
1
1
New comment Sep 9
 Uncovering Hidden Relationships in Finance Using AI and Graph Theory
Welcome to MarketMatrix AI!
MarketMatrix AI is a community where finance, artificial intelligence (AI), and knowledge graphs come together in exciting ways. If you're new to finance or wondering how it connects to AI, don't worry—this space is for learning and sharing. Our goal is to break down complex ideas and discover how they can be applied to real-world problems. We'll explore how financial data, like stock prices or market trends, can be simplified and understood using AI and graph theory. In finance, every decision—buying, selling, or holding—is like casting a vote with your money. These decisions are often based on a lot of data, and making sense of it can be challenging. That's where AI and graph theory come in! By using advanced AI models, we can analyze vast amounts of financial information and find patterns that aren't obvious. Graph theory helps us map out these connections and relationships, like a network of ideas that simplifies complex decisions. Over time, we'll dive deeper into the specific tools and techniques that are helping to revolutionize finance. Whether you're already familiar with AI or just starting to learn about finance, we encourage you to engage, ask questions, and share your insights. Together, we'll explore how these technologies can reshape our understanding of financial markets and decision-making.
0
0
Welcome to MarketMatrix AI!
Disclaimer
1. No Financial Advice Disclaimer The content and discussions within MarketMatrix AI are provided for informational and educational purposes only. Nothing shared in this community should be considered financial advice, investment recommendations, or an offer or solicitation to buy or sell any financial products. Always consult with a licensed financial advisor, tax professional, or legal expert before making any investment or financial decisions. 2. Risk Disclosure Investing and trading involve substantial risk and are not suitable for all individuals. The value of financial assets can fluctuate, and you may lose money. Past performance is not a reliable indicator of future results. Members of MarketMatrix AI are encouraged to assess their own risk tolerance and perform their own due diligence before taking any financial actions. 3. No Broker-Dealer Activity MarketMatrix AI is not a registered investment advisor, broker-dealer, or exchange. The community does not engage in recommending specific financial instruments or trades. Any opinions expressed by members are their own and do not reflect the official stance of MarketMatrix AI. No financial advice, recommendations, or investment strategies should be followed without professional consultation. 4. Affiliate and Partnership Disclosure In certain cases, MarketMatrix AI or its members may receive compensation through affiliate relationships or partnerships. Such affiliations will always be disclosed transparently. Any links or recommendations involving financial compensation will be clearly marked as affiliate content. 5. Community Guidelines Members of MarketMatrix AI are expected to adhere to high standards of integrity and professionalism. The sharing of insider information, market manipulation, or engagement in any fraudulent or misleading practices is strictly prohibited. The community encourages open and thoughtful discussions, but unethical behavior will result in removal from the platform.
0
0
1-3 of 3
MarketMatrix AI
skool.com/marketmatrix-ai
MarketMatrix AI is a community exploring the fusion of AI, finance, and knowledge graphs to simplify data and gain insights into human decision-making
powered by