stock-expectation

Morning market briefing with stock picks for US and Korean markets. Generates a daily report covering macro environment, sector rotation, 10-12 actionable predictions (5-6 per market) with BUY/WATCH/HOLD/AVOID/SELL labels and Korean reasoning, plus an auto-Toss-synced portfolio review section recommending hold/add/trim/exit per current position. Each pick is logged as a formal prediction for track record tracking. Triggers on keywords like daily briefing, morning report, market overview, today's picks, what should I trade, 오늘 시장, 일일 브리핑.

Stock expectation analysis. Combines algorithmic technical scoring + structured news/sentiment + LLM macro/narrative context + multi-horizon directional predictions to emit a deterministic BUY / WATCH / HOLD / AVOID / SELL recommendation per stock. Modes: (1) /expect KR or /expect US auto-discover 5 trending stocks, (2) /expect NVDA or /expect 삼성전자 single-ticker deep dive, (3) /expect NVDA,AMD,AVGO multi-ticker batch, (4) /expect ALL or /expect runs both markets. Triggers: expect, expectation, stock picks, what should I buy, hot stocks, trending stocks, buy or sell, 기대값, 종목 추천, 뭐 사야돼, 매수, 매도, 핫한 종목

Monthly ISA contribution briefing for the long-term Korean ETF book. Values the ISA portfolio, checks drift vs the approved target allocation, optionally proposes a tilt (code-clamped to ±10%p), runs the sell-free contribution allocator, and composes a Korean briefing with per-ETF buy amounts, track record vs benchmarks, and the decision-log id. Triggers on keywords like isa, ISA 브리핑, 적립, 월 적립, 리밸런싱, ETF 적립, isa briefing, monthly contribution.

Unified forward catalyst timeline + deterministic R3 event-risk gate. Merges the FMP earnings calendar (US-listed) and economic calendar (FOMC/CPI/NFP) into one timeline, then turns imminent binary events into label caps and confidence trims so /expect and daily-briefing don't issue fresh BUY calls right into an earnings print or a Fed decision. Triggers: catalyst, event risk, earnings risk, event gate, upcoming earnings, FOMC, CPI, NFP, macro event, 이벤트 리스크, 실적 발표 임박, 캐털리스트.

Set and monitor price-level alerts for a saved watchlist plus open predictions and portfolio positions. Fires Korean Telegram alerts when the latest close touches an entry zone, stop, target, or re-entry level. DELAYED / EOD-ish, not real-time. Use when the user wants to track entry/exit levels, set an alert, or watch tickers. Triggers on keywords like watchlist, alerts, set alert, entry zone, 워치리스트, 관심종목, 알림.

Decide when to exit, trim, add to, or hold each current holding. Layers an ATR chandelier trailing stop, R:R take-profit, and linked-prediction thesis invalidation on top of the portfolio. Use when the user asks to check positions, where to set stops, when to take profit, or whether to sell. Triggers on "포지션 점검", "손절", "익절", "트레일링 스탑", "언제 팔아", "exit check", "trim", "take profit", "when to sell", "stop loss", "trailing stop".

This skill should be used when analyzing sector rotation patterns and market cycle positioning. It fetches sector uptrend data from CSV (no API key required) and optionally accepts chart images for supplementary analysis. Use this skill when the user requests sector rotation analysis, cyclical vs defensive assessment, overbought/oversold identification, or market cycle phase estimation. All analysis and output are conducted in English.

Prescriptive sector-rotation screener that ranks sectors by relative strength, constituent breadth, and lifecycle stage, emitting a machine-readable FAVOR / ROTATING_IN / ROTATING_OUT / AVOID / NEUTRAL verdict per sector for both US and KR markets. Unlike the narrative sector-analyst skill, this produces a deterministic JSON snapshot (data/sector_rs_{market}.json) that the daily-briefing candidate discovery consumes to bias stock ranking toward sectors rotating in and away from sectors rotating out. Use when the user wants an actionable "which sectors to favor/avoid right now" answer, a sector leaderboard, sector relative-strength ranking, 섹터 로테이션, 섹터 상대강도, or which sectors are leading/lagging.

Sync portfolio from Toss Securities. Use when user mentions "토스", "Toss", "토스에서", "토스 동기화", "sync from toss", "toss 조회", or wants to update their portfolio from their brokerage account.

Interactive deep-dive analysis on any US or Korean stock. Performs multi-signal analysis covering technicals, fundamentals, sector context, and momentum. Generates a probability-weighted forecast with option to log as a formal prediction. Triggers on keywords like analyze [ticker], research [ticker], what about [ticker], [ticker] 분석, 종목 분석, should I buy, tell me about.

This skill retrieves upcoming earnings announcements for US stocks using the Financial Modeling Prep (FMP) API. Use this when the user requests earnings calendar data, wants to know which companies are reporting earnings in the upcoming week, or needs a weekly earnings review. The skill focuses on mid-cap and above companies (over $2B market cap) that have significant market impact, organizing the data by date and timing in a clean markdown table format. Supports multiple environments (CLI, Desktop, Web) with flexible API key management.

Fetch upcoming economic events and data releases using FMP API. Retrieve scheduled central bank decisions, employment reports, inflation data, GDP releases, and other market-moving economic indicators for specified date ranges (default: next 7 days). The script outputs raw JSON or text; the assistant filters, assesses impact, and generates the Markdown report.

Show all available Stock Expectation commands — Claude Code skills, bin/stock-cli subcommands, and common workflows. Use when the user asks "what commands are available", "how do I use this", "show me skills", or 명령어 알려줘 / 도움말 / 어떤 스킬 있어 / 사용법 / 뭐 할 수 있어 / stock help.

Use this skill to find high-quality dividend growth stocks (12%+ annual dividend growth, 1.5%+ yield) that are experiencing temporary pullbacks, identified by RSI oversold conditions (RSI ≤40). This skill combines fundamental dividend analysis with technical timing indicators to identify buying opportunities in strong dividend growers during short-term weakness.

Generate and prioritize US equity long-side edge research tickets from EOD observations, then export pipeline-ready candidate specs for trade-strategy-pipeline Phase I. Use when users ask to turn hypotheses/anomalies into reproducible research tickets, convert validated ideas into `strategy.yaml` + `metadata.json`, or preflight-check interface compatibility (`edge-finder-candidate/v1`) before running pipeline backtests.

Abstract detector tickets and hints into reusable edge concepts with thesis, invalidation signals, and strategy playbooks before strategy design/export.

Extract edge hints from daily market observations and news reactions, with optional LLM ideation, and output canonical hints.yaml for downstream concept synthesis and auto detection.

Aggregate and rank signals from multiple edge-finding skills (edge-candidate-agent, theme-detector, sector-analyst, institutional-flow-tracker) into a prioritized conviction dashboard with weighted scoring, deduplication, and contradiction detection.

Convert abstract edge concepts into strategy draft variants and optional exportable ticket YAMLs for edge-candidate-agent export/validation.

Critically review strategy drafts from edge-strategy-designer for edge plausibility, overfitting risk, sample size adequacy, and execution realism. Use when strategy_drafts/*.yaml exists and needs quality gate before pipeline export. Outputs PASS/REVISE/REJECT verdicts with confidence scores.

Use this skill to track institutional investor ownership changes and portfolio flows using 13F filings data. Analyzes hedge funds, mutual funds, and other institutional holders to identify stocks with significant smart money accumulation or distribution. Helps discover stocks before major moves by following where sophisticated investors are deploying capital.

Monitor dividend portfolios with Kanchi-style forced-review triggers (T1-T5) and convert anomalies into OK/WARN/REVIEW states without auto-selling. Use when users ask for 減配検知, 8-Kガバナンス監視, 配当安全性モニタリング, REVIEWキュー自動化, or periodic dividend risk checks.

Convert Kanchi-style dividend investing into a repeatable US-stock operating procedure. Use when users ask for かんち式配当投資, dividend screening, dividend growth quality checks, PERxPBR adaptation for US sectors, pullback limit-order planning, or one-page stock memo creation. Covers screening, deep dive, entry planning, and post-purchase monitoring cadence.

Provide US dividend tax and account-location workflow for Kanchi-style income portfolios. Use when users ask about qualified vs ordinary dividends, 1099-DIV interpretation, REIT/BDC distribution treatment, holding-period checks, or taxable-vs-IRA account placement decisions for dividend assets.

Options trading strategy analysis and simulation tool. Provides theoretical pricing using Black-Scholes model, Greeks calculation, strategy P/L simulation, and risk management guidance. Use when user requests options strategy analysis, covered calls, protective puts, spreads, iron condors, earnings plays, or options risk management. Includes volatility analysis, position sizing, and earnings-based strategy recommendations. Educational focus with practical trade simulation.

Statistical arbitrage tool for identifying and analyzing pair trading opportunities. Detects cointegrated stock pairs within sectors, analyzes spread behavior, calculates z-scores, and provides entry/exit recommendations for market-neutral strategies. Use when user requests pair trading opportunities, statistical arbitrage screening, mean-reversion strategies, or market-neutral portfolio construction. Supports correlation analysis, cointegration testing, and spread backtesting.

Screen post-earnings gap-up stocks for PEAD (Post-Earnings Announcement Drift) patterns. Analyzes weekly candle formation to detect red candle pullbacks and breakout signals. Supports two input modes - FMP earnings calendar (Mode A) or earnings-trade-analyzer JSON output (Mode B). Use when user asks about PEAD screening, post-earnings drift, earnings gap follow-through, red candle breakout patterns, or weekly earnings momentum setups.

Evaluates market bubble risk through quantitative data-driven analysis using the revised Minsky/Kindleberger framework v2.1. Prioritizes objective metrics (Put/Call, VIX, margin debt, breadth, IPO data) over subjective impressions. Features strict qualitative adjustment criteria with confirmation bias prevention. Supports practical investment decisions with mandatory data collection and mechanical scoring. Use when user asks about bubble risk, valuation concerns, or profit-taking timing.

Screen US stocks for high-quality dividend opportunities combining value characteristics (P/E ratio under 20, P/B ratio under 2), attractive yields (3% or higher), and consistent growth (dividend/revenue/EPS trending up over 3 years). Supports two-stage screening using FINVIZ Elite API for efficient pre-filtering followed by FMP API for detailed analysis. Use when user requests dividend stock screening, income portfolio ideas, or quality value stocks with strong fundamentals.

Evaluate portfolio holdings — P&L report, risk analysis, prediction comparison, and trading advice. Use when user asks to evaluate, review, or analyze their portfolio. Triggers on "포트폴리오", "내 포트폴리오", "보유 종목", "evaluate portfolio", "portfolio review".

Expert guidance for systematic backtesting of trading strategies. Use when developing, testing, stress-testing, or validating quantitative trading strategies. Covers "beating ideas to death" methodology, parameter robustness testing, slippage modeling, bias prevention, and interpreting backtest results. Applicable when user asks about backtesting, strategy validation, robustness testing, avoiding overfitting, or systematic trading development.

Screen US stocks using William O'Neil's CANSLIM growth stock methodology. Use when user requests CANSLIM stock screening, growth stock analysis, momentum stock identification, or wants to find stocks with strong earnings and price momentum following O'Neil's investment system.

Validate data quality in market analysis documents and blog articles before publication. Use when checking for price scale inconsistencies (ETF vs futures), instrument notation errors, date/day-of-week mismatches, allocation total errors, and unit mismatches. Supports English and Japanese content. Advisory mode -- flags issues as warnings for human review, not as blockers.

Analyze recent post-earnings stocks using a 5-factor scoring system (Gap Size, Pre-Earnings Trend, Volume Trend, MA200 Position, MA50 Position). Scores each stock 0-100 and assigns A/B/C/D grades. Use when user asks about earnings trade analysis, post-earnings momentum screening, earnings gap scoring, or finding best recent earnings reactions.

Build and open FinViz screener URLs from natural language requests. Use when user wants to screen stocks, find stocks matching criteria, filter by fundamentals or technicals, or asks to open FinViz with specific conditions. Supports both Japanese and English input (e.g., "高配当で成長している小型株を探したい", "Find oversold large caps with high ROE").

Detects Follow-Through Day (FTD) signals for market bottom confirmation using William O'Neil's methodology. Dual-index tracking (S&P 500 + NASDAQ) with state machine for rally attempt, FTD qualification, and post-FTD health monitoring. Use when user asks about market bottom signals, follow-through days, rally attempts, re-entry timing after corrections, or whether it's safe to increase equity exposure. Complementary to market-top-detector (defensive) - this skill is offensive (bottom confirmation).

Detect structural macro regime transitions (1-2 year horizon) using cross-asset ratio analysis. Analyze RSP/SPY concentration, yield curve, credit conditions, size factor, equity-bond relationship, and sector rotation to identify regime shifts between Concentration, Broadening, Contraction, Inflationary, and Transitional states. Run when user asks about macro regime, market regime change, structural rotation, or long-term market positioning.

Quantifies market breadth health using TraderMonty's public CSV data. Generates a 0-100 composite score across 6 components (100 = healthy). No API key required. Use when user asks about market breadth, participation rate, advance-decline health, whether the rally is broad-based, or general market health assessment.

Detects market top probability using O'Neil Distribution Days, Minervini Leading Stock Deterioration, and Monty Defensive Sector Rotation. Generates a 0-100 composite score with risk zone classification. Use when user asks about market top risk, distribution days, defensive rotation, leadership breakdown, or whether to reduce equity exposure. Focuses on 2-8 week tactical timing signals for 10-20% corrections.

Comprehensive portfolio analysis using Alpaca MCP Server integration to fetch holdings and positions, then analyze asset allocation, risk metrics, individual stock positions, diversification, and generate rebalancing recommendations. Use when user requests portfolio review, position analysis, risk assessment, performance evaluation, or rebalancing suggestions for their brokerage account.