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Two institutional-grade prompts: (1) extract earnings-call signals and translate them into implied investor model assumption changes, and (2) compare those implied changes to your financial model to generate a model review and update checklist.
Prompt template for analyzing corporate executive YouTube interviews to extract investor decision-relevant factual statements, strategic signals, operating implications, incentives, risks, falsifiers, and confidence levels (explicitly separating facts from inference).
A structured guide detailing how investors can apply NotebookLM to analyze filings, generate insights, compare company performance, and produce investment-ready briefs using tools like source-grounded chat, mind maps, reports, and audio/video recaps.
A complete investor-focused guide covering core AI models, research workflows, prompt engineering frameworks, advanced prompting techniques, AI video and image model use cases, and the structured parameters needed to turn AI into a repeatable investment research engine.
A comprehensive guide that breaks down Google Finance AI’s full capabilities—from Deep Search to earnings insights, advanced charting, prediction markets, and narrative analysis—complete with example prompts and workflows for faster, clearer market understanding.
A comparison guide outlining the best AI models for investors and analysts, showing which LLM excels at tasks such as research, modelling, data analysis, vision, voice workflows, and end-to-end agent execution.
A comprehensive cheat-sheet covering AI models, prompting frameworks, best-practice workflows, and finance-specific prompt blueprints to accelerate analysis, research, and decision-making.
A structured analysis framework that merges Polymarket’s rate-decision probabilities with Google Finance market data to detect divergences, identify leading indicators, and produce actionable macro insights ahead of FOMC meetings.
A guide that blends options-pricing mathematics with prediction-market analysis, enabling rigorous comparisons between Polymarket event odds and option-implied probabilities.
AI portfolio briefs in 60 seconds.
Rapid-build AI PowerPoint framework in Genspark for generating polished, private equity–grade decks in under five minutes.
A premium framework (to use in Google AI Studio) for building an app that analyzes executive videos for investor due-diligence, including transcripts, messaging, body-language signals, linguistic patterns, red flags, and follow-up questions.
A structured factor-analysis prompt designed for identifying the primary drivers of daily equity market moves, including performance attribution across style, macro-sensitive, and balance-sheet factors.
A visual guide to 20 powerful ChatGPT thinking frameworks with prompts, templates, and examples to solve any problem faster.
Institutional-grade 13F data pipeline and research workflow that runs 45 days after each quarter end. Fetches, normalizes, screens, and analyzes fund filings with full auditability.
A visual breakdown of the 14 most powerful Google Gemini 3 tools for finance. Learn how to use Gemini Agent Gems, NotebookLM, Veo 3, Google AI Studio, Firebase Studio, Gemini Sheets, Gmail, Docs, Meet, and more to enhance research, reporting, compliance, dashboards, and executive decision-making.
A complete guide to using Manus across Chat, Adaptive, and Agent modes. Covers tools like Wide Research, Mail Manus, Connectors, Web App Builder, Slides, Sandbox, and Scheduling with real finance examples, workflows, and recommended approaches.
A complete, three-level breakdown of the top 100 Manus AI use cases for finance. Covers analyst quick wins, intermediate comp-set and Excel workflows, and advanced automations with connectors, web apps, and multi-PDF research tools.
Step-by-step guide for producing cinematic, viral-quality video ads using AI tools like ChatGPT, Midjourney, and Veo 3 — all for under $20, without agencies or production crews.
Automated weekly brief of U.S. congressional stock trades — complete with summaries, motivations, sector analysis, and confidence scores based on committee alignment and market signals.
Prompt to auto-build a 20–30 slide investor PowerPoint from IR materials, 10-Q filings, and earnings transcripts for any public company’s latest quarter.
Prompt to schedule daily portfolio monitoring that auto-summarizes holdings performance, key news, and catalyst tags after market close.
Prompt to pull today’s top-discussed tickers from r/wallstreetbets with bull/bear skew, key narratives, and a trade-ready Excel summary.
Step-by-step prompt to auto-build in Manus a single-sheet DCF model from live financials and consensus estimates, outputting an implied price in Excel.