Opportunity BasketTechEarnings Consensus Tracker – Institutional-Grade Forecast Aggregation Service
A human-powered research service that aggregates, synthesizes, and translates institutional earnings forecasts from foreign investment banks, sell-side analysts, and fund managers into actionable consensus reports for Chinese retail investors. A team of bilingual financial analysts monitors institutional research releases, earnings call transcripts, and analyst revisions in real-time, then publishes weekly consensus sheets showing: (1) which tech companies are likely to beat/miss earnings, (2) the confidence level of that forecast across institutions, (3) key drivers and risks specific to each stock.
26 weeks • 70% confidence
Value Proposition
Eliminates the 2–7 day lag between foreign institutional revisions and Chinese retail awareness. Provides transparent, consensus-based forecasts (not a single analyst's opinion) that reduce single-source bias. Costs 1/10th of hiring a personal analyst. Retail investors get the same earnings-beat probability data that institutional traders use, leveling the information asymmetry without requiring fluency in English or access to Bloomberg terminals.
Target Audience
Chinese retail investors with 100k–2M RMB portfolios, primarily active in tech/electronics stocks; secondary: small wealth managers and robo-advisor platforms seeking differentiated research
Key Features
- Weekly consensus earnings forecast sheets for 40–60 major Chinese tech stocks, updated within 48 hours of significant institutional revisions
- Confidence scoring: % of tracked institutions agreeing on beat/miss, with outlier identification
- Institutional source transparency: which banks/funds are most bullish/bearish on each stock
- And more, with full implementation detail...
Tech Stack
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Sign up freeOriginal Problem
Chinese retail investors struggle to identify which tech stocks will actually deliver earnings growthChinese individual investors are desperately trying to determine which electronics and tech sector stocks to buy, but they lack reliable data on which companies will actually meet or exceed earnings expectations. Foreign institutional investors are actively researching and revising their profit forecasts for tech companies, creating an information asymmetry where retail investors feel left behind and make poor allocation decisions based on incomplete or delayed information.
Score: 52.9%