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Found 10 Skills
Expert-level algorithmic trading, market systems, quantitative analysis, and trading platforms
Investment idea generation — systematically surfaces new investment opportunities by combining quantitative screening (low valuation / high momentum / improving fundamentals), thematic research (sector trends / policy catalysts), and pattern recognition (historical analogues), producing a long/short candidate list. Triggers: "投资想法", "选股灵感", "投资机会", "找股票", "发掘机会", "多头机会", "空头机会", "主题投资", "投資想法", "選股靈感", "投資機會", "找股票", "多頭機會", "空頭機會", "主題投資", "investment ideas", "stock ideas", "investment opportunities", "idea generation", "long ideas", "short ideas", "thematic investing", "stock discovery", "find me stocks", "what should I buy".
R statistical analysis for publication-ready sociology research. Guides you through phased workflows for DiD, IV, matching, panel methods, and more. Use when doing quantitative analysis in R for academic papers.
Lewis's backtest workflow. Drop a strategy idea in, get a structured backtest plan and results template back.
You must use this when selecting statistical tests, interpreting effect sizes, or conducting power analysis.
Financial time series analysis method toolkit. Covers stocks / commodity futures / cryptocurrencies / ETFs / foreign exchange / indices, full process from data acquisition to high-level analysis. Built-in 70+ analysis methods, covering 8 major method domains: time series testing, predictive modeling, cross-asset relationships, volatility risk, portfolio optimization, state recognition, commodity-specific analysis and network analysis. Tushare MCP tool (A shares/Hong Kong stocks/US stocks/futures/funds/macro) is preferred for data acquisition, and yfinance scripts are used to supplement assets not covered by tushare such as commodity futures (CL=F) and crypto (BTC-USD).
Manages financial risks through quantitative analysis, modeling, and mitigation strategies.
Screens and selects stocks based on customizable quantitative criteria including value, growth, quality, and momentum factors
Systematic stock screening and investment idea sourcing. Combines quantitative screens, thematic research, and pattern recognition to surface new long and short ideas. Use when looking for new ideas, running screens, or conducting thematic sweeps. Triggers on "idea generation", "stock screen", "find ideas", "what looks interesting", "screen for", "new ideas", or "pitch me something".
Query and analyze real financial data for any asset (US stocks / options / crypto / forex / perps / prediction markets) — quotes, volume, short volume & short interest, borrow fee, dark pool, options chain, Reddit sentiment, OHLC bars, FTDs, dividends & splits, stock screener, company financials & SEC filings (income statement, balance sheet, cash flow, EPS, earnings), DEX pairs & token data (DexScreener — price, liquidity, volume, trending tokens, any chain), prediction-market events/odds/order books, Hyperliquid perps (funding, open interest, order books, candles), and more. Use this skill whenever the user asks about a stock/coin/asset's data, price, short interest, dark pool, options, sentiment, screening, company earnings / financial statements / fundamentals, prediction markets / betting odds, perps / funding rates / open interest, or wants analysis based on real data.