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Compare research records you provide to see changes in facts, scores and judgments. Use when the user asks to investment review with AlphaGBM. Use the bundled Python runner; never silently replace real results with demos.
Quellsprache: Englisch
Separate reported claims from impact inferences, with related assets and next checkpoints. Use when the user asks to news impact with AlphaGBM. Use the bundled Python runner; never silently replace real results with demos.
Quellsprache: Englisch
Compare option candidates and score components, with funding, expiry and assignment risks. Use when the user asks to options strategies with AlphaGBM. Use the bundled Python runner; never silently replace real results with demos.
Quellsprache: Englisch
Extract report views, ratings, key assumptions and risks with sources and dates. Use when the user asks to research report breakdown with AlphaGBM. Use the bundled Python runner; never silently replace real results with demos.
Quellsprache: Englisch
Connect fundamentals, sentiment and risk to supporting and opposing evidence. Use when the user asks to stock opportunities with AlphaGBM. Use the bundled Python runner; never silently replace real results with demos.
Quellsprache: Englisch
Volatility Snapshot via the published AlphaGBM interface. Use for this focused function, not as a promise that every website API accepts API keys.
Quellsprache: Englisch
Options Score via the published AlphaGBM interface. Use for this focused function, not as a promise that every website API accepts API keys.
Quellsprache: Englisch
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.
Quellsprache: Englisch
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.
Quellsprache: Englisch
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.
Quellsprache: Englisch
Build an auditable grid from a price range, current price and capital. Use when the user asks to grid plan with AlphaGBM. Use the bundled Python runner; never silently replace real results with demos.
Quellsprache: Englisch
Score observed price trend, confirmation, risk and participation without forecasting a price. Use when the user asks to momentum following with AlphaGBM. Use the bundled Python runner; never silently replace real results with demos.
Quellsprache: Englisch
Find published research and institutional views with sources, dates and related assets. Use when the user asks to research reports with AlphaGBM. Use the bundled Python runner; never silently replace real results with demos.
Quellsprache: Englisch
Aggregate user-supplied disclosed buys and sells by source without automatically copying trades. Use when the user asks to smart money tracking with AlphaGBM. Use the bundled Python runner; never silently replace real results with demos.
Quellsprache: Englisch
Stock Analysis via the published AlphaGBM interface. Use for this focused function, not as a promise that every website API accepts API keys.
Quellsprache: Englisch
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.
Quellsprache: Englisch
Prediction Markets 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.
Quellsprache: Englisch
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.
Quellsprache: Englisch
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.
Quellsprache: Englisch
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.
Quellsprache: Englisch
Hedging Scenarios 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.
Quellsprache: Englisch
Strategy Builder 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.
Quellsprache: Englisch
Payoff Simulation 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.
Quellsprache: Englisch
Unusual Options Activity 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.
Quellsprache: Englisch
Volatility Smile 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.
Quellsprache: Englisch
Volatility Surface 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.
Quellsprache: Englisch
Market Sentiment 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.
Quellsprache: Englisch
Diesen Prompt kopieren und in den verwendeten KI-Assistenten einfügen.
Follow https://skillsmp.com/skill-install/prompt.md to install Agent Skills from https://github.com/AlphaGBM/skills.Die README konnte nicht geladen werden. Die Skills des Repositorys lassen sich unten weiterhin ansehen.