How to Build a Segmented Revenues API for Public Companies with Python
In a world full of AI agents, data is the most valuable asset. That’s the reason why it’s essential to have access to high-quality data. But how do you get a...
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Understand and implement an artificial neural network using NumPy.
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Build a Local AI Agent with Memory Using Agno and gpt-oss
AI Agents are becoming more powerful and can independently solve complex tasks. A key part of developing advanced AI Agents is memory. This allows an Agent t...
Build a Local AI Agent with Knowledge and Storage Using Agno
AI agents are changing the way humans interact with computers. They operate autonomously, which makes them different from traditional software that follows a...
How to Expose Your Agno Agent as an AG-UI Compatible App
The Agent User Interaction Protocol (AG-UI) standardizes the connection of frontend applications with AI agents through an open protocol. You can think of AG...
Building a beautiful-looking Stock Dashboard with Reflex and OpenBB
Have you ever wondered if you can build production-ready analytics apps in pure Python? Then, the open-source framework Reflex might be perfect for you!
Building a Full-Stack Chatbot App in Python Using Reflex and Agno
More and more companies are integrating intelligent chatbots into their apps and websites. The advantage of chatbots is that they are available 24/7. That al...
Mastering the Capital Asset Pricing Model (CAPM) Using Python
The analysis of historical financial market data can reveal interesting patterns and insights. This information can help to build a strong portfolio.
An Introduction to Anthropic’s Model Context Protocol (MCP) with Python
Are you looking for a standardized way to connect your AI applications to external tools? Then, the Model Context Protocol (MCP) might be exactly what you’re...
Top FREE Resources to Learn Data Science
Today, we want to present some of the best resources for learning Data Science. And the best part is, these resources are all free!
Comprehensive Guide - Portfolio Optimization Using the Markowitz Model in Python
Portfolio optimization focuses on selecting the optimal combination of assets to maximize return and minimize risk. That involves determining the most approp...
Run GenAI Models locally with Docker Model Runner
Are you interested in running large language models (LLMs) locally on your computer? If so, Docker Model Runner might be interesting for you!
Portfolio Allocation - How to Analyze a Stock Portfolio Using Python
Many retail investors worldwide invest their money in the stock market and build a stock portfolio. Wouldn’t it be helpful if you could create a risk-adjuste...
Build a Local AI Agent to Chat with Financial Charts Using Agno
Are you interested in building an AI-powered chatbot that can answer questions about financial charts? If so, this article might be interesting for you!
Build a Multi-Agent Stock Market Analyst to Compare Stock Price Performance
Do you want to build an AI chatbot that can answer complex financial questions, like plotting a chart for stock price performance? If so, this article might ...
Build an OpenAI-Compatible API for Open-Source LLMs from Scratch
New and powerful open-source AI models are entering the market every few months. DeepSeek R1 was released a few weeks ago, and the AI world was excited. Acco...
Visualize financial data with beautiful Sankey diagrams
The analysis of financial data can quickly become very complex. This is where smart data visualization is helpful. It makes understanding the data easier.
Build an AI Finance Agent Team with phidata
Local Multi-Agent System with Web Access Using Llama 3.1 (Step-by-Step Guide)
Build an AI Investment Agent with Chainlit and phidata
Local AI Agent with web access in less than 30 lines of Python Code (Step-by-Step Guide)
Tinz Twins Hub - Recap of 2024
A year filled with AI innovations has come to an end, and it’s time to reflect. First, we want to thank all our readers. We really appreciate your support!
Build a financial multi-agent system with AG2 (formerly AutoGen) and Ollama
The big tech companies say the future belongs to AI agents. And we think the same. Multi-agent collaboration will soon be an essential part of every software.
Build a Local RAG App to Chat with Earnings Reports
Complete LLM App with Less Than 30 Lines of Python Code (Step-by-Step Guide)
Using Miniconda x86_64 & Apple Silicon Side-by-Side on Your Mac
Is it possible to use Miniconda for ARM and Intel processors on an ARM-based Mac? Yes, it is possible, and we will show you how!
Introduction to ARIMA Models for Newbies
ARIMA (short for AutoRegressive Integrated Moving Average) is a technique for time series analysis and forecasting. It is one of the most widely used approac...
A beginner-friendly introduction to Docker
Docker is a tool for simplifying application development and deployment. It makes it easy to package, distribute, and run applications using Docker images an...
Time Series Analysis - The Power of Exponentially Weighted Moving Average
The Exponentially Weighted Moving Average (EWMA) is a statistical tool for modeling or describing a time series. It is commonly used in the financial industr...