Financial Agents
Trading, analysis, portfolio management, and risk assessment agents
Risk Assessment at Scale: How RunbookHermes Analyzes Thousands of Assets
# Risk Assessment at Scale: What We Know About RunbookHermes ## Overview of the Claimed Capability RunbookHermes is presented as an AI agent designed to perform risk assessment across thousands of as...
How SWE-Agent Uses Sentiment Analysis to Predict Market Moves
# How SWE-Agent Works and Why It Isn't a Sentiment‑Analysis Tool for Market Prediction ## What SWE-Agent Is and Who It’s For SWE-Agent is an open‑source AI agent that autonomously resolves software‑...
Automating Customer Support with ChatGPT: A Case Study
# Automating Customer Support with ChatGPT: A Case Study ## What It Does and Who It's For ChatGPT, accessed via the OpenAI Assistants API, can act as an autonomous agent that perceives user queries,...
Agent Memory and Planning: How Perplexity Maintains Context Over Long Tasks
# Agent Memory and Planning: How Perplexity Maintains Context Over Long Tasks ## Overview Perplexity is an AI-powered answer engine that couples large language models with a real‑time web search inde...
Building a Quant Trading Bot with FinGPT and Semantic Kernel
# Building a Quant Trading Bot with FinGPT and Semantic Kernel ## Overview FinGPT is an open‑source large language model family fine‑tuned on financial text, news, and time‑series data. It excels at ...
The Rise of Agentic Coding: How LangGraph Pushes Past Copilot
# The Rise of Agentic Coding: How LangGraph Pushes Past Copilot ## What LangGraph Is and Who It’s For LangGraph is a library for building stateful, multi‑step AI agents on top of large language mode...
Comparing 3 Agent Frameworks: DSPy vs Swarm
# Comparing 3 Agent Frameworks: DSPy vs Swarm vs LangGraph ## 1. What each framework does and who it’s for **DSPy** treats prompting as programmable code. You declare a *signature* (input → output t...
Top 22 Coding Agents That Actually Ship Production Code
# Top 22 Coding Agents That Actually Ship Production Code ## What Are Production‑Shipping Coding Agents? Production‑shipping coding agents are autonomous AI systems that take a natural‑language task ...
13 Ways AI Agents Boost Developer Productivity
# 13 Ways AI Agents Boost Developer Productivity ## Understanding AI Agents An AI agent is a system that uses a large language model (LLM) as its reasoning engine to perceive its environment, make d...
How FinGPT Uses Sentiment Analysis to Predict Market Moves
# How FinGPT Uses Sentiment Analysis to Predict Market Moves ## 1. What FinGPT Is and Who It’s For FinGPT is an open‑source large language model (LLM) specialized for financial text. It is built by ...
The State of AI Agents in 2026: 20 Trends to Watch
# The State of AI Agents in 2026: 20 Trends to Watch ## Overview An AI agent is an autonomous system that uses a large language model (LLM) as its reasoning engine to perceive its environment, make ...
13 Ways Coding Agents Are Changing Software Development in 2026
# 13 Ways Coding Agents Are Changing Software Development in 2026 ## Overview of Coding Agents in 2026 Coding agents are autonomous systems that pair a large language model with tool use, memory, an...
10 Ways AI Agents Boost Developer Productivity
# 10 Ways AI Agents Boost Developer Productivity ## What Are AI Agents? An AI agent is a system that uses a large language model (LLM) as its reasoning core. Unlike a chatbot that only responds to p...
The 11 Best AI Agents for Crypto Trading and Analysis
# The 11 Best AI Agents for Crypto Trading and Analysis ## What They Do and Who They Are For AI agents for crypto trading combine large language model reasoning with tools that connect to exchange A...
25 Financial Agents That Are Disrupting Wall Street
We need to write an article about "25 Financial Agents That Are Disrupting Wall Street". The title suggests a list of 25 agents. We need a comprehensive in-depth review of the AI agent mentioned in th...
LangChain: The Open-Source Agent That Rivals Commercial Tools
# LangChain: The Open-Source Agent That Rivals Commercial Tools ## What LangChain Does and Who It’s For LangChain is a Python (and JavaScript/TypeScript) library that lets developers build applicati...
The Complete Guide to Building AI Agents with Semantic Kernel
# The Complete Guide to Building AI Agents with Semantic Kernel ## Introduction Artificial Intelligence agents have moved beyond simple chatbots to become autonomous systems capable of reasoning, pl...
Automating Customer Support with Cline: A Case Study
# Automating Customer Support with Cline: A Case Study > **The intersection of autonomous coding agents and customer support automation is creating new possibilities for lean engineering teams. This ...
The State of AI in Quantitative Finance: Tools, Frameworks, and Agents
The integration of artificial intelligence into quantitative finance has moved from academic curiosity to a fundamental competitive edge. The modern quant's stack is a complex ecosystem of specialized...
FinGPT vs Bloomberg GPT: Which AI Is Better for Financial Analysis?
The financial LLM space is crowded with hype but thin on substance. Two names come up repeatedly in practitioner conversations: **BloombergGPT**, Bloomberg's proprietary 50B-parameter model, and **Fin...
How Hedge Funds Use AI Agents — And What Individual Traders Can Learn
The trading floor of the 2020s is silent. The frantic shouting of orders has been replaced by the hum of servers and the quiet clicks of keyboards. Institutional trading is no longer a game of gut fee...
Crypto Trading Bots with AI: A Practical Guide to Autonomous Trading
The crypto market never sleeps. Unlike equities, there's no closing bell, no circuit breakers (mostly), and no consolidated tape. For engineers, this creates a uniquely demanding environment for autom...
Building an AI Trading Bot with LangChain: A Step-by-Step Tutorial
Most tutorials on "AI trading bots" are either vaporware or dangerously naive. They show you a LangChain agent calling a single indicator function, then skip straight to "now deploy it and make money....
How AI Agents Are Revolutionizing Algorithmic Trading in 2026
The intersection of artificial intelligence and algorithmic trading isn't new — quantitative hedge funds have used machine learning models since the early 2000s. What *is* new is the emergence of auto...
AI-Powered Risk Assessment: How Financial Agents Analyze Market Exposure
Financial risk assessment has followed the same fundamental playbook for decades: compute Value at Risk (VaR), run stress tests against historical and hypothetical scenarios, and produce reports that ...
Building a Portfolio Management Agent with CrewAI
Single-LLM approaches to financial analysis hit a wall fast. You can ask GPT-4 to analyze a stock, but it can't simultaneously monitor risk exposure, scan for opportunities, and execute rebalancing de...