Serenity(@aleabitoreddit)는 X에서 90만 명 이상의 팔로워를 보유한 대표적인 AI·반도체 공급망 분석가로, 아직 시장에 잘 알려지지 않은 종목을 일찍 발굴하는 것으로 유명합니다. 저는 Serenity의 팬일 뿐, Serenity 본인이 아닙니다. 이 AI Skill은 Serenity가 공개한 게시물을 매일 보고서로 정리해 줍니다. 언급된 모든 종목을 강세, 약세 또는 중립으로 분류하고, 과거 관점 변화와 원문 링크도 함께 제공합니다. 일간·주간·월간·분기별로 나누어 살펴보며 어떤 종목과 분야를 지속적으로 다루는지 그 패턴을 파악할 수 있습니다. 이 도구는 Serenity와 아무런 제휴 관계가 없으며 투자 조언을 제공하지 않습니다. Serenity의 공개 게시물을 더 편리하게 조사하기 위한 도구입니다.
When AI semiconductors, robotics, CPO, compute, power equipment, or innovative drugs trend, few know which supply chain, company, stock, or fund direction to follow. Serenity.skill turns the approach from Serenity / @aleabitoreddit's public content into an Agent Skill: from a hot theme it breaks down the chain, locates the hardest-to-scale bottleneck, then screens candidates against filings, earnings, customers, capacity, and risks — turning hype into a prioritized research list.
Research Context Management helps agents run long, evidence-heavy research without losing sources, claims, contradictions, or next steps. It builds a durable workspace with a source ledger, batch notes, claim matrix, contradiction register, working brief, and handoff checkpoint, so deep research, audits, market scans, and reports can be reviewed, resumed, and turned into reliable outputs with clearer evidence trails.
Forces AI agents to verify every company claim with a Tier 1 source and a date before including it in any job search shortlist — so your research produces fewer, stronger candidates instead of confident guesses.
Built by aegntic.ai. Veritas Operator runs a multi-agent, adversarially-reviewed research pipeline that synthesizes sources into a decision-grade, citation-backed brief. Designed for analysts, journalists, and operators who need ground truth fast.
Built on the buy-side research process used at 10+ hedge funds: - Screen: customizable filters across 10,000+ SEC-registered companies - Research: a full research report, plus AI-driven dialogue to help you form your own thesis - Value: a DCF model with an interactive HTML file - Size: half-Kelly position sizing to help you limit account drawdown - Recheck: pulls up your original thesis before you sell, no emotional trading
Transform trusted industry research into actionable investment insights by combining AI, statistical inference, Bayesian mathematical models, and quantitative analysis to detect market regime shifts and uncover investment opportunities before they become obvious.
Manage verified email alerts for meaningful stock information in Serenity’s public X posts. Receive concise English summaries, company/ticker mentions, author stance and original links. Independent project; not affiliated with Serenity.
Market Research from affaan-m’s ECC project. Use it for market sizing, competitive analysis, investor due diligence, technology scans, and other business research. It gathers sourced evidence, flags stale data, includes risks and counterarguments, separates facts from inference, and turns findings into clear, decision-oriented recommendations.