Corporate insiders regularly disclose purchases, sales, ownership changes, and other transactions through SEC filings. The information is public. Turning that constant flow of disclosures into a focused research process is much harder. That is the problem we built Public Filings Intelligence from TradingEdgeIQ to address. 🔍 𝗦𝗲𝗮𝗿𝗰𝗵 𝘄𝗶𝘁𝗵 𝗽𝗿𝗲𝗰𝗶𝘀𝗶𝗼𝗻 Filter disclosures by company, reporting person, transaction type, filing date, and transaction size. 📊 𝗥𝗮𝗻𝗸 𝘄𝗵𝗮𝘁 𝗱𝗲𝘀𝗲𝗿𝘃𝗲𝘀 𝗮𝘁𝘁𝗲𝗻𝘁𝗶𝗼𝗻 See recent insider disclosures organized by their research relevance. 💡 𝗨𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱 𝘄𝗵𝘆 𝗲𝗮𝗰𝗵 𝗿𝗲𝗰𝗼𝗿𝗱 𝗿𝗮𝗻𝗸𝗲𝗱 Open the score and review the factors that contributed to it. 👥 𝗜𝗱𝗲𝗻𝘁𝗶𝗳𝘆 𝗿𝗲𝗽𝗲𝗮𝘁 𝗮𝗰𝘁𝗶𝘃𝗶𝘁𝘆 𝗮𝗻𝗱 𝗶𝗻𝘀𝗶𝗱𝗲𝗿 𝗰𝗹𝘂𝘀𝘁𝗲𝗿𝘀 See when the same person acts repeatedly or several insiders transact within a related window. 🔔 𝗙𝗼𝗹𝗹𝗼𝘄 𝘁𝗵𝗲 𝗽𝗮𝘁𝘁𝗲𝗿𝗻𝘀 𝘆𝗼𝘂 𝗰𝗮𝗿𝗲 𝗮𝗯𝗼𝘂𝘁 Create notifications for companies, people, and transaction activity you want to monitor. ⚖️ 𝗖𝗼𝗻𝘀𝗶𝗱𝗲𝗿 𝗯𝗼𝘁𝗵 𝘀𝗶𝗱𝗲𝘀 𝗼𝗳 𝘁𝗵𝗲 𝗲𝘃𝗶𝗱𝗲𝗻𝗰𝗲 Review why a disclosure may matter—and why it may not. 📄 𝗩𝗲𝗿𝗶𝗳𝘆 𝘁𝗵𝗲 𝘀𝗼𝘂𝗿𝗰𝗲 𝘆𝗼𝘂𝗿𝘀𝗲𝗹𝗳 Open the original SEC filing directly from the record. The objective is not to predict prices or tell anyone what to buy. It is to narrow the search without hiding the reasoning, evidence, or uncertainty behind the ranking. The attached video provides a short introduction. 🌐 Explore the Public Filings Intelligence solution ✅ Starter access is free. If you already use insider filings in your research, I would value your perspective: What information helps you decide whether a filing deserves a closer look? 𝗧𝗿𝗮𝗱𝗶𝗻𝗴𝗘𝗱𝗴𝗲𝗜𝗤 𝗗𝗶𝘀𝗰𝗼𝘃𝗲𝗿 ♦️ 𝗔𝗻𝗮𝗹𝘆𝘇𝗲 ♦️ 𝗦𝗶𝗺𝘂𝗹𝗮𝘁𝗲 ♦️ 𝗗𝗲𝗰𝗶𝗱𝗲 𝘙𝘦𝘴𝘦𝘢𝘳𝘤𝘩 𝘢𝘯𝘥 𝘢𝘯𝘢𝘭𝘺𝘵𝘪𝘤𝘴 𝘰𝘯𝘭𝘺. 𝘕𝘰 𝘢𝘶𝘵𝘰-𝘵𝘳𝘢𝘥𝘪𝘯𝘨. 𝘕𝘰 𝘧𝘪𝘯𝘢𝘯𝘤𝘪𝘢𝘭 𝘢𝘥𝘷𝘪𝘤𝘦. 𝘚𝘤𝘰𝘳𝘦𝘴 𝘳𝘢𝘯𝘬 𝘳𝘦𝘴𝘦𝘢𝘳𝘤𝘩 𝘢𝘵𝘵𝘦𝘯𝘵𝘪𝘰𝘯, 𝘯𝘰𝘵 𝘦𝘹𝘱𝘦𝘤𝘵𝘦𝘥 𝘳𝘦𝘵𝘶𝘳𝘯.

Over the past week, I’ve been experimenting with a practical agentic-AI use case inside TradingEdgeIQ (tradingedgeiq.com) based on inspiration from Lewis who has been using about 379 AI agents to run multiple businesses for/with him. I’m building a Business Operations Center where AI-supported workflows can perform recurring business tasks while remaining visible and accountable to a human operator. For example, the system can: 🔎 Research competitors and relevant industry developments 🧠 Generate a structured intelligence brief 📅 Run work according to a defined schedule 💰 Operate within per-run, daily, and monthly AI spending limits 🚨 Surface failures or questionable results for attention ✅ Route sensitive actions through human approval 📋 Preserve an audit trail showing what ran, what it produced, and what happened next One workflow has already generated a real weekly competitor-and-industry brief from beginning to end in my staging environment. The broader operating model is still being validated before it is used more extensively. The important lessons for me have been these: ✳️ An AI agent becomes much more useful when it is surrounded by an operating system, not merely given a prompt. ✳️ The model may perform the reasoning, but dependable agentic work also requires scheduling, memory, permissions, cost controls, failure recovery, human review, and evidence of what actually happened. I think the same principle applies to trading. An agent should not simply produce a trade idea and disappear. A more responsible architecture should separate: 🔎 opportunity discovery 📊 evidence analysis 🧪 strategy simulation 🧭 the final human decision I’m curious how others here are approaching this. Are you building individual AI agents, or are you building a control system that makes those agents reliable, or both?

It's interesting to find I can get market data from Yahoo Finance for free. That means I don't have to subscribe data from CME. ※ recap: Day 69: connecting live TradingView-adjacent data (MES/MNQ prices via Yahoo Finance) into your agent spec — test pull confirmed working.

I have noticed that the prompts provided are long, in the past with my claude builds they were always completed in steps or phases. perhaps that was my "claude.md " rules I gave it before realizing that is what I was doing. Question is, if we always use long prompts how we would know if claude is hallucinating and keeping on track? Waiting till completion to debug an issue? What are your thoughts on how you debug?

Please let me know your thoughts on my thoughts. On August 5th, I'm hosting a free training where I lay out all of my agents that allow me to make money again and again. My aim is to have you copy and paste my agents into your own efforts at building a business or making money. Register here - https://01accelerator.com/a2i