119 件 ・ 関連度順
概要と使いどころ
Use when evaluating stocks through Dan Bin's long-term compounder lens: buy great companies, hold through volatility, and let time do the work. Focus on consumer, pharma, and tech compounders.
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Use when evaluating stocks through Qiu Guolu's value-quality lens: stay within circle of competence, focus on industry leaders with structural advantages, and demand simple clear thesis before investing.
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Use when evaluating Peter Lynch-style growth stocks: invest in what you can understand, classify the company type, check growth runway, PEG, balance sheet, and whether the story is still improving.
日本語の概要は準備中です。原文の説明を表示しています。
Use when evaluating stocks through Duan Yongping's benfen (本分) value investing lens: good business, right price, long hold, understand what you own, and stay within your circle of competence.
日本語の概要は準備中です。原文の説明を表示しています。
Use when evaluating Walter Schloss-style cigar-butt value: cheap stocks, balance sheets, diversification across many bargains, and avoiding glamorous stories.
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Use when evaluating stocks through Feng Liu's weak-hand (弱者体系) reverse investing lens: assume you have less information, seek asymmetric risk/reward, buy at points of maximum pessimism, and manage position by probability.
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Use when evaluating stocks through Deng Xiaofeng's cycle-and-industry lens: deep industry research, cycle position awareness, supply-demand dynamics, and buying leaders at cycle bottoms.
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Use when evaluating US stocks through Serenity / @aleabitoreddit's AI and semiconductor supply-chain lens: upstream chokepoints, photonics/CPO bottlenecks, hyperscaler capex, institutional rotation, dilution risk, and thesis validation.
日本語の概要は準備中です。原文の説明を表示しています。
Use when evaluating Nicolas Darvas-style box breakouts, new-high momentum, volume confirmation, and mechanical stop placement for liquid growth stocks.
日本語の概要は準備中です。原文の説明を表示しています。
Use when evaluating growth stocks through O'Neil CAN SLIM: earnings acceleration, relative strength, institutional demand, market direction, base quality, and breakout discipline.
日本語の概要は準備中です。原文の説明を表示しています。
When behavior is emergent across components—fixes elsewhere break, loops/delays dominate—map boundary, stocks/flows, feedback, archetypes, then rank leverage.
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DCF valuation model for A-share stocks using Chinese financial data. Uses AkShare MCP for financial statements, WACC inputs (risk-free rate from China government bond yields), and growth projections. Use instead of the original dcf-model skill for Chinese equities.
日本語の概要は準備中です。原文の説明を表示しています。
Comparable company analysis for A-share stocks. Uses AkShare MCP to build peer groups, pull financial data, compute valuation multiples (PE, PB, PS), and assess relative value within a Chinese industry sector.
日本語の概要は準備中です。原文の説明を表示しています。
Pre-earnings analysis for A-share stocks. Builds scenario frameworks (actual vs consensus, beat/miss cases), identifies key metrics to watch, and prepares positioning notes before Chinese companies report quarterly results. Use instead of the original earnings-preview skill for A-share coverage. Triggers on "A股财报前瞻", "季报前瞻", "业绩前瞻", "earnings preview", "what to watch for [company] earnings", or "pre-earnings setup".
日本語の概要は準備中です。原文の説明を表示しています。
Systematic stock screening and investment idea sourcing for A-share markets. Combines quantitative screens, thematic research, and pattern recognition to surface new long and short ideas. Adapted from the original idea-generation skill for Chinese market conventions and data sources. Triggers on "A股选股", "股票筛选", "寻找机会", "stock screen China", "A-share ideas", "find ideas for Chinese stocks", or "screen for A-share opportunities".
日本語の概要は準備中です。原文の説明を表示しています。
Three-statement financial model for A-share stocks. Adapts the standard 3-statement-model methodology for Chinese accounting standards (CAS), Chinese GAAP differences, and AkShare-sourced financials. Use instead of the original 3-statement-model skill when building integrated IS/BS/CF models for Chinese listed companies.
日本語の概要は準備中です。原文の説明を表示しています。
Provides multi-school trading Q&A, chart/OHLCV analysis, annotation, and fresh-market workflows covering ICT/SMC, ChanLun, Wyckoff, Price Action, Order Flow, VSA, and Elliott Wave. Use for trading concepts; capability-discovery questions about available analysis lenses, Schools, models, modes, or data sources; attached charts; pasted OHLCV; chart annotation; or asset-plus-timeframe requests across crypto, stocks, or forex. Defaults unselected market analysis to strict ICT/SMC, honors explicit School/source selectors, and fails closed when no native analyzer exists. Phase 1 comparison is Q&A-only; fetch fresh Mobius Quant API data only after the capability gate.
日本語の概要は準備中です。原文の説明を表示しています。
AiZynthFinder retrosynthetic route planning (CASP) from AstraZeneca Molecular AI. Monte Carlo tree search guided by a template-based neural expansion policy recursively disconnects a target SMILES until precursors are found in a purchasable stock. Covers config.yml (v4 format), aizynthcli batch screening, the AiZynthFinder/AiZynthExpander Python API, one-step disconnections, custom stocks via smiles2stock, scorers, Retro*/breadth-first/DFPN search alternatives, and reading output.json.gz / trees.json. Use for synthesis route planning, synthesizability screening, and building-block/precursor search. For reaction barriers use neb-irc-activation-energy; for 2D reaction scheme drawing use rdkit-chemdraw-cdxml.
日本語の概要は準備中です。原文の説明を表示しています。
Get insider trading activity (SEC Form 4 filings) for one or more stocks. Use when user asks about insider buying/selling, executive transactions, insider sentiment, or Form 4 activity.
日本語の概要は準備中です。原文の説明を表示しています。
Scan stocks for Poor Man's Covered Call (PMCC) suitability. Analyzes LEAPS and short call options for delta, liquidity, spread, IV, yield, trend direction, and earnings proximity. Use when user asks about PMCC candidates, diagonal spreads, or LEAPS strategies.
日本語の概要は準備中です。原文の説明を表示しています。
Get portfolio positions from Interactive Brokers. Use when user asks about their portfolio, positions, holdings, or what stocks they own. Requires TWS or IB Gateway running locally.
日本語の概要は準備中です。原文の説明を表示しています。
Server-side trailing stop management for stocks and naked LEAPS in IB. Places native TRAIL orders that auto-ratchet the stop as price climbs. Dry-run by default. Requires TWS or IB Gateway running locally.
日本語の概要は準備中です。原文の説明を表示しています。
Track and analyze cross-border capital flows between mainland China and Hong Kong via Stock Connect (沪港通/深港通). Monitor northbound (北向资金) and southbound (南向资金) flows, identify trending stocks, and analyze institutional positioning. Use when user asks about 北向资金, 南向资金, 外资动向, Stock Connect flows, or cross-border investment trends.
日本語の概要は準備中です。原文の説明を表示しています。
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.
日本語の概要は準備中です。原文の説明を表示しています。