Put-spread Backtest reference method. Use when studying this focused method, not to run an API request. External API-key access for its legacy endpoints is not published in this release.
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。
AlphaGBM/skills4,6682026年10月6日 更新
無料GitHub で公開
alphagbm-stock-analysis
Stock Analysis via the published AlphaGBM interface. Use for this focused function, not as a promise that every website API accepts API keys.
含まれるファイル（5）
- SKILL.md1.1 KB
- agents/openai.yaml211 B
- references/access.md2.4 KB
- scripts/review_engine.py15.7 KB
- scripts/run.py38.5 KB
SKILL.md（原文）
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Stock Analysis
Read access and evidence rules first. This package is a focused function; full research workflows are listed in the repository catalogue. Its runner is self-contained and requires only Python 3.9+.
python3 "<skill-dir>/scripts/run.py" stock NVDA --confirm-usage
Requires ALPHAGBM_API_KEY. If the command uses --confirm-usage, first obtain approval to use the shared account allowance. Snapshot reads do not consume analysis credits, but still require account access.
Return only the successful API response, with its original asset identity, dates, units, missing-data flags and score type. Stock risk scores are not opportunity scores. Volatility fields can be missing; do not turn a snapshot into a fabricated 252-day IV Rank. Option candidates are not guaranteed fills or trade instructions. Never fall back silently to demo data. Nonzero exit must be surfaced as an error.
レビュー
まだレビューはありません。使ってみた感想をお寄せください。
同じリポジトリのスキル
概要と使いどころ
Supply-chain Bottlenecks reference method. Use when studying this focused method, not to run an API request. External API-key access for its legacy endpoints is not published in this release.
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。
AlphaGBM/skills4,6682026年10月6日 更新
Build a contribution schedule and calculate a supplied price-path cost basis without predicting returns. Use when the user asks to dollar-cost averaging with AlphaGBM. Use the bundled Python runner; never silently replace real results with demos.
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。
AlphaGBM/skills4,6682026年10月6日 更新
Score Hong Kong and China A-share dividend candidates across yield quality, durability, cash flow, valuation and momentum. Use when the user asks to dividend strategy with AlphaGBM. Use the bundled Python runner; never silently replace real results with demos.
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。
AlphaGBM/skills4,6682026年10月6日 更新
Earnings IV Crush reference method. Use when studying this focused method, not to run an API request. External API-key access for its legacy endpoints is not published in this release.
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。
AlphaGBM/skills4,6682026年10月6日 更新
Score ETF trend, risk, liquidity, cost and available tracking and theme signals while preserving data gaps. Use when the user asks to etf strategy with AlphaGBM. Use the bundled Python runner; never silently replace real results with demos.
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。
AlphaGBM/skills4,6682026年10月6日 更新