“stocks”的搜索结果

将日语或英语描述的选股条件转换为FinViz筛选链接，组合股息率、盈利增长、市值和股价走势等条件，并支持主题筛选、排序及仅输出链接。

• 寻找高股息且盈利增长的小盘股
• 筛选估值偏低的科技股
• 寻找超卖的大盘股

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.

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• 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

查询股票和加密资产价格，按公司名称查找证券代码，并利用Yahoo Finance数据查看历史走势、区间涨跌幅和成交量，对比多只股票。

• 查询股票和加密资产价格
• 按公司名称查找证券代码
• 查看历史走势和区间涨跌幅

Look up Ondo tokens representing US stocks through Binance Web3. Retrieve prices, holder counts, company details, trading restrictions, and candlestick data, and compare token prices with underlying stock prices while accounting for shares represented by each token.

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• Research available tokenized US stocks
• Check trading restrictions and their reasons
• Compare token and underlying stock prices

Rank stocks using several indicators, such as recent returns and trading volume, combined on a common scale. Build equally weighted portfolios from the highest scores, or combine existing factors into strategies with buying and selling positions.

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• Rank stocks using several investment indicators
• Build an equally weighted portfolio of top-ranked stocks
• Combine Alpha Zoo factors into a trading strategy

Scan stocks for bullish trends using technical indicators (SMA, RSI, MACD, ADX). Use when user asks to scan for bullish stocks, find trending stocks, or rank symbols by momentum.

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查看指定股票的分析、用历史数据检验交易策略的技术回测及已保存的研究记录，整理生成日期、模型局限和风险因素，帮助理解结果的前提。

• 查看股票分析与风险因素
• 检查技术回测结果
• 比较关注股票的已保存研究记录

Prepare a one-page morning briefing on covered stocks, overnight news, earnings, and the day's key events. Add a clear view of stock implications, plus trade ideas and risks when relevant, for a quick team discussion.

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• Preparing a stock market briefing for a morning meeting
• Summarizing overnight earnings and company news
• Listing earnings calls and economic releases for the day

Extract three to five plain-language trading rules from profitable trades, then test them across Chinese A-shares, Hong Kong stocks, US stocks, and crypto. Produce a report comparing simulated and actual results, with a breakdown of differences.

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• Extract shared patterns from profitable trades
• Test personal trading rules across four markets
• Break down differences between simulated and actual results

Retrieve financial data through Tushare using Python. Find relevant APIs for Chinese stocks, ETFs, funds, bonds, economic indicators, and news, then use documented parameters to obtain pandas DataFrames, tables ready for further analysis.

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• Retrieving lists of listed Chinese stocks
• Collecting ETF prices and fund size data
• Checking fund holdings and manager information

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.

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

Review trading rules across China A-shares, Hong Kong stocks, US stocks, and crypto markets. Use comparison tables and checklists to identify execution limits, short-selling constraints, trading hours, fees, and tax considerations when designing historical trading simulations.

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• Adding market rules to historical trading simulations
• Comparing constraints across stock and crypto markets
• Checking execution conditions for cross-market strategies

Access stock fund flows, disclosures, news, financial statements, and market rankings through Vibe-Trading tools. The skill documents available data interfaces and examples, including symbol lookup, with market-specific sources and no token required.

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• Review fund flows for Chinese, Hong Kong, and US stocks
• Check Chinese stock disclosures and lockup expiry dates
• Retrieve company financial statements and stock news

Evaluate dividend stocks by checking earnings, cash flow, debt, and dividend history. Assess whether payouts can last, identify high yields driven by falling prices, and consider total returns alongside dividend income.

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• Checking whether a dividend is sustainable
• Screening high-yield stocks for payout risks
• Comparing the quality of dividend growth

Write signal generation code for backtests combining stocks, crypto, forex, and other markets. Apply market-specific indicator settings and volatility-adjusted weights, while the existing CompositeEngine handles trading calendars, shared capital, and each market's rules.

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• Building a backtest combining stocks and crypto
• Applying different indicator settings to each market
• Adjusting portfolio weights for differences in volatility

Estimate the distribution of stockholders' purchase costs for Chinese A-share stocks using price and volume data. A triangular model produces cost concentration metrics, the estimated share below the current price, and visualization charts.

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• Examining estimated purchase cost distributions for Chinese A-share stocks
• Checking the estimated share of holdings below the current price
• Identifying price ranges with concentrated holdings

Retrieve financial data through natural language queries, including Chinese A-share stocks, funds, futures, company financials, and economic indicators. The skill calls a Python script and presents key results as concise summaries and tables.

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• Checking stock prices and daily market data
• Retrieving recently disclosed revenue and profit
• Comparing prices across stocks

Plan a personal monitoring dashboard using a reference for panels, data sources, APIs, refresh intervals, and development priorities. It covers schedules, messages, news, stocks, finances, and combined views such as a daily briefing.

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• Choosing which dashboard panel to build next
• Checking panel APIs and data structures
• Planning a combined view of schedules, messages, and stocks

Screen S&P 500 stocks for Mark Minervini's Volatility Contraction Pattern (VCP) and detect historical VCPs in a single ticker's price path. Identifies Stage 2 uptrend stocks forming tight bases with contracting volatility near breakout pivot points; in historical single-ticker mode walks a multi-year history and emits every VCP that formed with forward-outcome stats (breakout / stop-hit / timeout). Use when user requests VCP screening, Minervini-style setups, tight base patterns, volatility contraction breakout candidates, Stage 2 momentum stock scanning, or historical VCP pattern study on a specific ticker (e.g. FIX, TSLA).

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Autonomously screen NYSE, Nasdaq, and NYSE American operating-company stocks for undervalued-growth/GARP opportunities using forward same-basis valuation, driver-derived EPS/FCF forecasts, primary-source financial verification, SBC and dilution controls, sector and cycle normalization, auditable candidate-pool coverage, and fail-closed final reporting. Use when asked to find, screen, rank, or refresh US undervalued-growth stocks, including minimal requests with no ticker list or parameters.

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Screen US stocks for Stockbee-style selling-exhaustion hammer setups using prior momentum, pullback depth, undercut/reclaim, long lower-wick geometry, close-location, volume confirmation, quality/liquidity gates, and risk-distance scoring. Use when the user asks for Stockbee, Pradeep Bonde, exhaustion setup, selling exhaustion, hammer reversal, undercut reclaim, near-close reversal candidates, or pullback entries in high-quality funds-owned stocks.

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Screen US stocks for high-quality dividend opportunities combining value characteristics (P/E ratio under 20, P/B ratio under 2), attractive yields (3% or higher), and consistent growth (dividend/revenue/EPS trending up over 3 years). Supports two-stage screening using FINVIZ Elite API for efficient pre-filtering followed by FMP API for detailed analysis. Use when user requests dividend stock screening, income portfolio ideas, or quality value stocks with strong fundamentals.

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Use this skill to track institutional investor ownership changes and portfolio flows using 13F filings data. Analyzes hedge funds, mutual funds, and other institutional holders to identify stocks with significant smart money accumulation or distribution. Helps discover stocks before major moves by following where sophisticated investors are deploying capital.

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Screen US stocks using William O'Neil's CANSLIM growth stock methodology. Use when user requests CANSLIM stock screening, growth stock analysis, momentum stock identification, or wants to find stocks with strong earnings and price momentum following O'Neil's investment system.

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