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Look up stock and cryptocurrency prices, find ticker symbols by company name, and compare several stocks. Uses Yahoo Finance data to return daily price history, trading volume, and performance statistics in a structured JSON format.

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• Check stock and cryptocurrency prices
• Find ticker symbols by company name
• Review historical prices and returns

Turn trading rules into Python code and configuration files, then test them against historical data. Review performance, position sizing, and trading costs, and revise strategies using the results produced by the backtest engine.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Building and backtesting a trading strategy from rules
• Revising strategies based on backtest results
• Testing stock and cryptocurrency portfolios together

Retrieve price and trading volume data for US, Hong Kong, and Canadian stocks, ETFs, and indices through Yahoo Finance. Also gather company profiles, financial statements, dividends, and ownership data for market research and historical strategy testing.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Collect historical prices across several stock markets
• Review company financial statements and ownership
• Check dividend and stock split histories

Compare money moving into and out of US exchange-traded funds to assess sector rotation and appetite for risk. Produce a structured view of broad market, growth versus value, bond, and thematic fund flows.

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• Review broad US equity ETF inflows and outflows
• Identify sectors attracting or losing capital
• Compare growth and value fund flows

Choose financial data sources and tools for price history, financial statements, news, and economic research. The skill maps market coverage, credentials, access limits, and fallback options, and provides rules for checking important figures against independent sources.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Choose price data sources for historical strategy testing
• Find tools for financial statements, news, and economic indicators
• Check required API keys and alternative data sources

Analyze earnings estimate changes, results versus analyst expectations, and management forecasts for US and Hong Kong stocks. Organize findings on post-earnings price trends and earnings quality into a structured investment research report.

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• Review analyst estimate changes before earnings
• Compare reported results with market expectations
• Assess management forecasts and earnings quality

Analyze cross-border stock flows between mainland China and Hong Kong through Stock Connect. Compare overseas buying of mainland shares, mainland buying of Hong Kong shares, sector allocations, and price gaps between dual-listed shares.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Track overseas capital moving into and out of Chinese A-shares
• Review mainland investor flows into Hong Kong stocks
• Identify sector shifts in cross-border allocations

Analyze US public company filings to summarize financial health, management commentary, changing risks, insider trades, and institutional holdings. Combine these findings into a structured research report with scores and investment implications.

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• Reviewing annual and quarterly financial performance
• Comparing risk disclosures with previous filings
• Investigating major events reported in 8-K filings

Research stock and cryptocurrency strategies through historical testing, factor analysis, and options pricing. Analyze trading journals, extract rules from profitable trades, and generate reports comparing simulated results with actual trading outcomes.

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• Testing strategies on historical market data
• Comparing predefined predictive factors
• Reviewing trading habits from broker CSV exports

Retrieve minute-level price data for stocks and cryptocurrencies, calculate average prices and volume patterns, and test intraday trading strategies. Configure the candle interval and trading costs to examine results using historical market data.

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• Analyzing cryptocurrency price movements with minute candles
• Calculating volume-weighted and time-weighted average prices
• Comparing trading volume by hour

Compare a Chinese company's US depositary receipts, Hong Kong shares, and mainland shares after adjusting for exchange rates and share ratios. Analyze pricing gaps, valuation differences, and delisting risks to support research into its different listings.

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• Compare A-share and H-share pricing gaps
• Measure ADR premiums against Hong Kong shares
• Review US delisting risks and Hong Kong listing alternatives

Retrieve stock prices, futures quotes, exchange rates, and economic indicators with the free Python library AKShare. The skill explains market-specific functions, symbol formats, and data preparation for analysis and testing strategies against historical data.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Retrieve historical prices for Chinese, US, and Hong Kong stocks
• Collect Chinese GDP and consumer price data
• Check futures quotes and foreign exchange rates

Screen Chinese A-shares, Hong Kong stocks, and US stocks using valuation ratios, profitability, and financial statement data. Set criteria to identify value or growth candidates, with market-specific guidance on using the results in historical strategy tests.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Find value stocks using valuation and profitability criteria
• Filter Chinese A-shares using published financial statements
• Build a US or Hong Kong stock universe for strategy testing

Research a listed company's business quality and valuation using official filings, comparisons with similar companies, and historical performance. Produce an evidence-backed report and scorecard, with separate modes for accounting concerns and companies preparing for an IPO.

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• Compare a company's financial strength with sector peers
• Investigate gaps between reported profit and cash flow
• Assess assumptions built into a stock's current price

Connect stock data to an application using Finnhub Stock API. The skill covers current quotes, company profiles, historical prices, and market news, with server-side request handling to protect API keys and manage cached responses.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Display current stock prices on a dashboard
• Retrieve historical prices and trading volumes
• Show company profiles alongside stock quotes

用于搜索金融市场、证券、上市公司基本面、价格、K 线、披露文件、财经新闻、A 股数据、港股或全球 ticker，可使用 yfinance、mootdx、API 脚本或 browser-use。

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Fetch economic data from FRED, World Bank, BLS, OECD, and Yahoo Finance

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Analyze how stocks move together using Yahoo Finance price history (yfinance): find correlated peers for a ticker, measure correlation, beta, and spread between specific tickers, cluster a group into a correlation matrix, and track rolling or regime-dependent correlation. Use this skill whenever the user asks what moves with a stock, what else drops when it drops, related tickers or sympathy plays, sector or supply-chain peers, pair trading or hedging pairs, beta or relative performance, correlation matrices, co-movement, or rolling/realized correlation — including well-known pairs like AMD/NVDA, GOOGL/AVGO, or LITE/COHR. With a single ticker, assume the user wants its correlated peers.

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Analyze a company's most recent (or a specified past) earnings report from Yahoo Finance data (yfinance): actual vs estimated EPS, surprise size, revenue and margin trends, and the stock's price reaction. Use this skill whenever the user asks how earnings went — beat or miss, earnings surprise, quarterly results, the post-earnings move, or an earnings call recap — including casual references to a past report such as "AMZN reported last night" or "how did they do". For an upcoming report, use earnings-preview.

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Calculate an ETF's premium or discount to NAV from Yahoo Finance data (yfinance), compare or screen ETFs by premium, explain why a gap exists, and decompose a sudden ETF move into NAV-driven vs structural components (dealer gamma exposure, blocked AP arbitrage, sentiment). Use this skill whenever the user asks whether an ETF trades above or below NAV, compares ETF premiums or discounts, screens for the biggest ones, asks about ETF arbitrage or premium convergence, or wants to know why an ETF jumped or diverged from its holdings — including gamma squeezes, dealer gamma exposure (GEX), and blocked creation/redemption. Especially relevant for leveraged, inverse, international, bond, commodity, and crypto ETFs (IBIT, BITO, HYG, KWEB).

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Estimate a public company's intrinsic value with DCF, relative (peer multiple), and sum-of-the-parts (SOTP) methods, then blend them into an implied share price with upside/downside vs the market price, a WACC and terminal-growth sensitivity grid, and bull/base/bear scenarios. Use this skill whenever the user asks what a company or ticker is worth: fair value, intrinsic value, implied share price, a price target from fundamentals, whether it is overvalued or undervalued, building a DCF (WACC, terminal value, discounted cash flow), EV/EBITDA or P/E based targets, peer comparison valuation, or SOTP and conglomerate discounts. Run the model rather than answering valuation questions from memory.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Build a pre-earnings briefing for a stock from Yahoo Finance data (yfinance): the upcoming report date and timing, consensus EPS and revenue estimates with their range, the beat/miss track record, analyst ratings and price targets, and what to watch in the print. Use this skill whenever the user is preparing for an upcoming earnings report or asks what the street expects — consensus or whisper numbers, EPS expectations, whether a company will beat, an earnings setup, or an earnings-season preview — and whenever a ticker comes up in the context of upcoming earnings, even without the word "preview". For results that are already out, use earnings-recap.

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Render an interactive options payoff chart — expiry P&L plus Black-Scholes theoretical value — with sliders for strikes, premium, IV, DTE, and spot. Use this skill whenever the user describes or shares an options position or strategy and wants to see how it makes or loses money: vertical, calendar, diagonal, or ratio spreads, butterflies, condors and iron condors, straddles, strangles, covered calls, protective or naked puts, or any multi-leg structure. This includes pasted strikes, premiums, and expiries, requests like "show me the payoff" or "draw the P&L curve", and broker screenshots (IBKR, TastyTrade, Robinhood). Use it even when details are partial — defaults fill the gaps.

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Analyze how liquid a stock is using Yahoo Finance data (yfinance): bid-ask spreads, volume and dollar volume (ADTV), top-of-book and options depth, square-root market impact and slippage estimates, turnover ratio, and Amihud illiquidity, rolled into a liquidity grade. Use this skill whenever the user asks about liquidity or trading costs — how easily a position can be entered or exited, what a large order would do to the price, spread or execution-cost estimates, order book depth, volume patterns, or liquidity comparisons — especially for small caps, penny stocks, and thinly traded names.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.