Sprout Signal Translator
Trace signals to the real economic winners.
Sprout Signal Translator
Trace signals to the real economic winners.
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Description
In a major industry news story, the company mentioned in the news is often not the one most worth researching. A surge in NVIDIA demand could reshape the server, power, and cooling industries; rapid growth at a private AI company could actually generate revenue for cloud providers, chip designers, and networking suppliers; and a highly publicized CEO speech may not have changed any economic facts. Sprout Signal Translator first verifies the event, then traces the value chain: What happened → What assumption changed → Where is the money flowing → What is the next bottleneck → Who already has the capability to solve it → Has the market already been revalued. It looks for both direct beneficiaries and potential losers, Picks & Shovels, and Emerging Sprout Candidates whose “mature core business provides a safety net while a new industry provides growth options.” When it cannot find a reliable economic transmission path, it allows the output NONE. It does not provide BUY / SELL recommendations, price targets, or return promises. Its goal is not to predict the next skyrocketing stock, but to translate industry changes into research leads worth validating further.
Recommended by
Dancang
Why we love this skill
It turns industry news into a verifiable value chain, separating facts, inferences, and narratives while using an evidence threshold to identify real economic beneficiaries—not investment hype.
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ResearchSprout | Thesis Auditor
Don't help prove my thesis. Help audit it. Many investment judgments fail not because the data is entirely wrong, but because accurate data supports an overextended conclusion. For example: “AI orders are abundant, so profits will definitely grow rapidly over the next three years.” “The company's business is strong, so the stock is cheap right now.” “Customers keep increasing, so the company has already achieved network effects.” “Management says the technology is leading, and it is stated in the financial report, so the moat has been proven.” 「Sprout | Thesis Auditor」does not help you find more reasons to prove yourself right. It breaks your investment thesis into an auditable Critical Path and checks each layer: Facts → Evidence → Causal Relationships → Hidden Assumptions → Commercialization → Economic Outcomes → Valuation By prioritizing primary sources, it answers the questions that truly matter: Which parts have already been supported by evidence? Which are merely reasonable inferences? Which necessary link is most fragile? Is there counterevidence that genuinely attacks the Thesis? What evidence is most likely to change the conclusion? It ultimately assigns one of five ratings: SUPPORTED / PARTIALLY SUPPORTED / FRAGILE / BROKEN / INSUFFICIENT DATA The conclusion must be traceable to specific Necessary Claims and evidence, rather than a vague “on balance” assessment.
ResearchSprout | Thesis Change Monitor
You don't need to watch one company every day. Once you start following a company, it's easy to fall into a routine: Checking the news, earnings reports, interviews, analyst reports, and stock price every day… Because you're always worried: “What if there's an important change I missed?” The problem is that most updates don't actually change anything. New product launches, management interviews, analyst price-target increases, stock-price moves, repeated media coverage… You consume a lot of information, yet still don't know: Did anything really happen that should make me reassess this company?
Deep Stock Research Engine
Not a news summary, but an individual stock research report with a methodological framework. Enter a company (A-share/H-share/US stock name or code), and it will perform 10-15 bilingual web searches to produce a report based on a seven-dimension framework: ① Business Model – where money comes from and goes, with a "translated into plain language" version ② Revenue Structure – breakdown by business, growth engines and drags ③ Moat – mandatory answer on widening or narrowing, using market share, gross margin, and pricing power ④ Financial Quality – cash flow vs profit alignment, changes in receivables, inventory, and goodwill ⑤ Competitive Landscape – competitor comparison table and concentration direction ⑥ Valuation Framework – only data and calculation framework, no judgment of over/undervaluation ⑦ Risk List – sorted by impact, each with verifiable trigger signals Each report includes: a one-page bull/bear summary (with substantial evidence on both sides), a next-quarter tracking list, and data sources for each point. Three iron rules: · Each key number is traceable to official filings or authoritative media; if not found, labeled 'insufficient information', never fabricated · Facts, calculations, and inferences are labeled separately · No stock price predictions, no target prices, no buy/sell advice – even for 'should I buy', only bull/bear evidence is given Supports three perspectives: Understand the Business (default), Financial Checkup, and Company Comparison. Suitable for investment researchers, financial content creators, and serious investors who want to systematically understand a company.
Information
- Version
- v16
- Last updated
- Runtime credits
- Usage-based
- Models
- Auto
