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Explore AI As A Trading Agent - Deep Agent From Abacus AI Takes It To The Next Level with 380,294 views, 216 likes, and 60 comments. Experience the impact of this video content that has captured audience attention.

Try Abacus AI DeepAgent - https://appllm.abacus.ai/ In this video, I put DeepAgent by Abacus AI to work as a full-on AI co-pilot for stock research and trading ideas. 🧠📈 Instead of skimming random articles or juggling 10 tabs, I show you how DeepAgent can: Ask you smart clarifying questions (risk level, time horizon, style) Screen tech stocks and pick a candidate Build a full evidence-based research report with bull case, bear case, risks & projections Reveal its entire chain of thought, including sources and selection criteria Export everything as HTML so you can tweak the code, share it, or archive it In this walkthrough, we feed DeepAgent a prompt to recommend one long-term tech equity, watch it select Microsoft as a case study, then drill into fundamentals, cash flow, balance sheet strength, and how it justifies a “hold” rating with confidence levels and value-investor insights. If you’ve ever wanted an AI agent that doesn’t just spit out vibes but shows exactly how it reached its conclusions, this one’s wild. ⚠️ Not financial advice – this video is for education and entertainment only. Always do your own research or consult a licensed professional before making investment decisions. ⏱️ Chapters 00:00 – Intro: AI agents for trading & investing 00:55 – What is DeepAgent by Abacus AI? Pricing & access 01:11 – Dashboard tour & how the AI agent workspace works 02:04 – Writing the prompt: “Recommend one tech equity for long-term investors” 02:21 – Clarifying questions: risk, horizon, and investing style 03:11 – Report format, analysis depth & screening constraints 04:02 – DeepAgent picks Microsoft and builds a full research report 04:55 – Executive summary, valuation, and key ratios explained 05:36 – Free cash flow, balance sheet strength & value-investor lens 06:19 – Adding a Meta comparison and iterating on the report 06:58 – Inspecting the full chain-of-thought & data sources 07:59 – Exporting the report, HTML view & customizing the code 08:20 – Final thoughts: who DeepAgent is really for

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