Discover how AI-powered large language models (LLMs) are transforming financial statement analysis. This post reveals the top 5 use cases—from rapid data extraction to automated report generation—that are streamlining decision-making for CFOs and finance professionals in banking and fintech.
Dive into the fundamentals of advanced algorithmic trading in the US—from distinguishing high-frequency and quantitative trading to designing robust strategies and integrating AI for superior performance.
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.
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.
Backtesting is a crucial part of effective trading strategies. It allows us to test how a strategy would have performed in the past using historical data, which gives us ideas on how much money it could make and what risks are involved. However, backtesting has its problems. Many traders make common mistakes and have biases…
Reinforcement learning is one of the most effective types of machine learning where an agent learns by making decisions through its interaction with its environment. In other words, it is the learning process as humans learn in real life by trial and error. Think of a child trying to ride a bicycle. He wobbles, falls,…
Infographic showcasing LangChain EAIA (AI Email Assistant) and its features.
Algorithmic trading has entered a thrilling new chapter: AI-driven agents now tackle vast data streams with near-human intuition and machine-level speed. These cutting-edge tools are rewriting the rules of engagement in both cryptocurrency and traditional markets, liberating traders from endless chart-watching and code-heavy processes. If you’ve ever dreamt of orchestrating a symphony of bots to…
Zipline backtesting chart
Picture this scenario: You’re an M&A professional racing against the clock to close a high-value acquisition. Time is short, competition is fierce, and your team can’t afford costly mistakes. Yet you find yourself bogged down by repetitive, manual tasks—like scraping portfolio data from Finology—that eat into your valuable time. In a process where every minute…