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pseudo-longinus
A股·港股·美股量化分析 Agent Skill。支持行情、估值、财务查询、选股筛选、因子计算、策略回测。Quant agent skill for A-share, HK & US stocks — market data, fundamentals, screening, factor & backtest.
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为下一项任务找到合适的技能。探索适用于 Codex、Claude Code、Cursor 等 Agent 的工具。
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A股·港股·美股量化分析 Agent Skill。支持行情、估值、财务查询、选股筛选、因子计算、策略回测。Quant agent skill for A-share, HK & US stocks — market data, fundamentals, screening, factor & backtest.
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查看技能说明btrccts
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🚀 💸 Easily build, backtest and deploy your algo in just a few lines of code. Trade stocks, cryptos, and forex across exchanges w/ one package.
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查看技能说明StrateQueue
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Query TradingView market data through the bundled tradingview MCP server without a desktop app or login. Use whenever the user wants a technical analysis readout (RSI, M…
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查看技能说明ivopetiz
Database for crypto data, supporting several exchanges. Can be used for TA, bots, backtest, realtime trading, etc.
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Preview, submit, inspect, and manage Alpaca paper-trading orders across US equities, options, and crypto. Use this skill when you want your AI agent to take a strategy s…
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查看技能说明Transition from backtest to live trading with zero code changes. Use when deploying a validated strategy to paper or live trading via broker APIs.
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Event-driven backtesting with bar-by-bar execution, complex order types, multiple analyzers, and custom indicators
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查看技能说明anthropics
Complete and link income statement, balance sheet, and cash flow statement model templates with formulas and checks.
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查看技能说明iliaal
Pine Script v6: syntax, performance, error diagnosis, backtesting, visualization. Use when writing or debugging `.pine` files or TradingView Pine indicators/str
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Draft phase 3.5 of a threat model from the orientation brief, surface analysis, and maintainer answers. USE WHEN writing threat-model.md to the canonical §1.1–§
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查看技能说明Abel-ai-lab
Use when the user asks how to invest, trade, buy or sell, find alpha, find or improve a trading strategy, backtest or stress a signal, screen candidates, optimize Sharpe…
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Commission, slippage, and market-impact cost models for realistic strategy simulation. Use when backtesting to ensure P&L accounts for transaction costs.
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Perform a forensic company financial-statement review across earnings quality, health, fraud risk, and operating efficiency.
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Screen equities with systematic value, momentum, quality, volatility, size, and growth factor frameworks.