スキルセット

このページは scripts/generate_skillset_docs.py によって自動生成されます。手動編集しないでください。

個人トレーダー OS の目的別スキルセット群です。スキルセットはカテゴリ単位のスキル束(必須 / 推奨 / 任意)で、それを運用化するワークフローに紐づきます(「この目的のために何を入れるか」の層)。skillsets/ 以下の manifest が正本で、本ページはそこから自動生成されます。

翻訳方針: 本ページは見出しラベルのみ日本語化しています。manifest 本文(when_to_use / when_not_to_use 等)は英語正本をそのまま表示します。本文の日本語化は将来の対応予定です(manifest 側に *_ja フィールドを追加するか、別のローカライズ層を設ける方向で検討中)。


スキルセット一覧

スキルセット タイムフレーム API プロファイル 難易度 関連ワークフロー
core-portfolio — Core Portfolio weekly mixed beginner core-portfolio-weekly
market-regime — Market Regime daily no-api-basic beginner market-regime-daily
swing-opportunity — Swing Opportunity daily fmp-required intermediate swing-opportunity-daily
trade-memory — Trade Memory event-driven no-api-basic beginner trade-memory-loop, monthly-performance-review

Core Portfolio

core-portfolio · weekly · mixed · beginner

使用するとき: The long-term core sleeve: review holdings, dividend health, and overall allocation once a week. Use to keep the buy-and-hold / dividend book healthy and decide deliberate rebalance actions. Operationalized weekly by the core-portfolio-weekly workflow.

使用してはいけないとき: Do not run this as a daily routine — daily portfolio churn defeats the long-term framing. Do not use it to chase short-term swing setups; that is the swing-opportunity sleeve gated by market-regime.

対象ユーザー: long-term-investor, dividend-investor

必須スキル: portfolio-manager, trader-memory-core

推奨スキル: kanchi-dividend-review-monitor, value-dividend-screener, kanchi-dividend-us-tax-accounting

任意スキル: dividend-growth-pullback-screener, kanchi-dividend-sop

関連ワークフロー: core-portfolio-weekly


Market Regime

market-regime · daily · no-api-basic · beginner

使用するとき: The shared risk layer for every trading day. Use before considering new swing-trade risk to decide today’s exposure posture (allow / restrict / cash-priority) from breadth, uptrend participation, and top-risk signals. Operationalized daily by the market-regime-daily workflow.

使用してはいけないとき: Do not treat this bundle’s output as a standalone buy/sell signal — the exposure decision is a posture, not a directive. Do not skip it and run swing-opportunity work directly; the regime gate comes first.

対象ユーザー: part-time-swing-trader, growth-investor

必須スキル: market-breadth-analyzer, uptrend-analyzer, exposure-coach

推奨スキル: market-top-detector, macro-regime-detector

任意スキル: breadth-chart-analyst, sector-analyst, market-environment-analysis, market-news-analyst, downtrend-duration-analyzer, us-market-bubble-detector

関連ワークフロー: market-regime-daily


Swing Opportunity

swing-opportunity · daily · fmp-required · intermediate

使用するとき: The satellite swing sleeve: generate and validate swing-trade candidates and build risk-sized entry plans. Use only on days the market-regime sleeve has allowed new risk. Operationalized by the swing-opportunity-daily workflow (prerequisite: market-regime-daily exposure decision).

使用してはいけないとき: Do not run when the latest market-regime exposure decision is cash-priority or restrictive. Do not use the screeners standalone without the regime gate and position sizing.

対象ユーザー: part-time-swing-trader

必須スキル: vcp-screener, technical-analyst, position-sizer, trader-memory-core

推奨スキル: canslim-screener, breakout-trade-planner, theme-detector

任意スキル: finviz-screener

関連ワークフロー: swing-opportunity-daily


Trade Memory

trade-memory · event-driven · no-api-basic · beginner

使用するとき: The shared learning loop: record closed-trade outcomes, run postmortems, and feed lessons back into the process. Use after every closed position and for the monthly performance retrospective. Operationalized by the trade-memory-loop (per closed trade) and monthly-performance-review (monthly) workflows.

使用してはいけないとき: Do not run before a position is closed — update an open thesis with trader-memory-core directly instead. Do not skip the loop after a closed trade, even on winners.

対象ユーザー: part-time-swing-trader, long-term-investor, growth-investor

必須スキル: trader-memory-core, signal-postmortem

推奨スキル: backtest-expert, trade-performance-coach

任意スキル: trade-hypothesis-ideator

関連ワークフロー: trade-memory-loop, monthly-performance-review