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。
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.
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。
Score Hong Kong and China A-share dividend candidates across yield quality, durability, cash flow, valuation and momentum.
Read access and evidence rules. Python 3.9+ is the only runtime dependency; no separate CLI or sibling Skill installation is required. Resolve <skill-dir> to the directory containing this file.
Confirm the ticker and market suffix: use .HK for Hong Kong or .SS/.SZ for China A-shares. This account-backed request consumes the shared stock-research allowance. The dividend-opportunities.v1 contract scores yield quality, sustainability, cash-flow coverage, quality, growth, valuation and momentum; it is not a yield-only ranking or a return forecast. Preserve ready versus partial status, factor contributions, sources, quote timing and missingData. If dividend history, payout coverage or relative valuation is unavailable, report the gap and do not turn observedOnlyScore into a complete score. A high current yield may be one-off or unsustainable. Do not present the result as a trade instruction or promise of income.
python3 "<skill-dir>/scripts/run.py" dividend 0700.HK --confirm-usage --lang en
This example contains --confirm-usage. Use that flag only after the user has approved allowance consumption. Require ALPHAGBM_API_KEY in the environment, never in a prompt.
Use AlphaGBM to evaluate a dividend opportunity for 0700.HK, showing factor scores, missing data and next checks.
中文:帮我调用 AlphaGBM 评估 0700.HK 的高息策略机会,列出分项得分、缺失数据和下一步核验点。
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。
概要と使いどころ
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。
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。
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。
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。
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。
Greeks 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。