Hands-On Tutorials for Implementing LLMs and AI Agents in Finance and Trading – Part 2: Building AI Agents for Algorithmic Trading​

Hands-On Tutorials for Implementing LLMs and AI Agents in Finance and Trading – Part 2: Building AI Agents for Algorithmic Trading​

Discover how to create AI agents for algorithmic trading. This guide walks you through building a trading bot with machine learning and testing it using Backtrader.

Sentiment Analysis for Stock Trading: A Hands-On Tutorial Using LLMs – Part 1: Predicting Stock Price Movements with FinBert

Sentiment Analysis for Stock Trading: A Hands-On Tutorial Using LLMs – Part 1: Predicting Stock Price Movements with FinBert

Learn how to use sentiment analysis for stock trading with this hands-on tutorial. We’ll guide you through collecting news data, cleaning it, and using FinBert to predict stock price movements. Perfect for traders and developers interested in AI-powered trading strategies.

The Future of Work: Insights from 4 Million Claude Conversations

The Future of Work: Insights from 4 Million Claude Conversations

The Future of work is evolving, and AI is at the heart of it. Anthropic Claude recently launched the Anthropic Economic Index, a new project designed to measure AI’s influence on the economy over time. The Index’s first report analyzed millions of real-world Claude conversations to uncover how professionals across industries are integrating AI into…

Wyckoff's Method

Wyckoff’s Method Explained: Decoding the Playground Game

The stock market can be like a playground where the institutional investors or “Smart Money” big kids know all the tricks. They tend to rig the game in their favor, leaving retail traders or “Dumb Money” confused and frustrated. But imagine if you had a secret weapon, a means of deciphering their tricks and even turning them to your advantage.  Welcome the Wyckoff Method, an old tested technique for studying market trends and forecasting price behavior. Think of the stock market as a playground where there are valuable stickers that represent assets. The Wyckoff Method teaches you how the “big kids” (Smart Money) control the…

Wyckoff Method & Generative AI: Outsmarting Smart Money in Trading

Wyckoff Method & Generative AI: Outsmarting Smart Money in Trading

The stock market can feel like a playground where the big kids (institutional investors or “Smart Money”) seem to know all the tricks. They often manipulate the game to their advantage, leaving the smaller kids (retail traders or “Dumb Money”) confused and frustrated. But what if you had a secret weapon, a way to understand…

5 Best Image-Based Virtual Try-On AI Models

The 5 Best Image-Based Virtual Try-On AI Models: Pros, Cons, and Why They Matter

The 5 Best Image-Based Virtual Try-On AI Models: Pros, Cons, and Why They Matter Image-based virtual try-on technology is transforming how we shop online, blending augmented reality, computer vision, and generative AI to let customers visualize products in real time. From reducing returns to boosting engagement, these tools are reshaping e-commerce. But with so many…

Why DeepSeek Janus-Pro 1B and  7B Outperforms OpenAI DALL-E 3 in Image Generation Tests

Why DeepSeek Janus-Pro 1B and 7B Outperforms OpenAI DALL-E 3 in Image Generation Tests

Introduction to DeepSeek Janus-Pro 1B and 7B DeepSeek AI has just introduced Janus-Pro 7B under its DeepSeek license. This is a multimodal AI model that beats DALL-E 3 and Stable Diffusion in key tests. It follows DeepSeek’s earlier DeepSeek R1 model, known for strong reasoning. DeepSeek also released a research paper explaining Janus-Pro’s design and abilities. Though a…

Kimi k1.5: Next-Gen LLM with RL for Multimodal Reasoning | Benchmark Performance

Kimi k1.5: Next-Gen LLM with RL for Multimodal Reasoning | Benchmark Performance

Reinforcement learning (RL) has revolutionized AI at its core by enabling models to learn iteratively through interaction and feedback. When applied to large language models (LLMs), RL unlocks new opportunities for dealing with tasks involving sophisticated reasoning, e.g., math problem-solving, programming, and multimodal data interpretation. Classical approaches are greatly dependent on pretraining with massive static…