qlib-ai-quant基于微软 qlib 的 AI 量化平台：覆盖预测模型、因子挖掘（Alpha158/TFT）、 组合优化、多频回测。支持 A 股 + 美股 + 港股多市场。
Install via ClawdBot CLI:
clawdbot install tangweigang-jpg/qlib-ai-quantGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Potentially destructive shell commands in tool definitions
eval(Calls external URL not in known-safe list
https://github.com/zvtvz/zvt/issues/183Audited Apr 23, 2026 · audit v1.0
Generated May 10, 2026
Investors need to convert high-frequency 1-minute stock data to daily frequency for feature computation and model training. This is triggered when users want to aggregate intraday data to reduce noise and align with daily trading signals.
Extract a specific minute bar each day (e.g., close of first minute) from 1-minute data to create a daily time series. Useful for trading strategies that rely on opening or closing auction patterns.
Leverage both daily and 15-minute frequency features simultaneously, e.g., daily fundamentals plus intraday momentum, to train Temporal Fusion Transformer (TFT) models. This enhances model accuracy by capturing cross-frequency patterns.
Use the Alpha158 factor library to construct features like alpha_001 to alpha_158, then backtest a strategy on A-share stocks. The pipeline integrates data fetch, factor computation, and execution with proper next-bar semantics.
Provide end-to-end development of quantitative trading strategies, from data collection and feature engineering to backtesting and optimization. Clients pay for strategy development and customization.
Offer access to a cloud-based platform that automates multi-frequency data processing, factor computation, and model training. Users pay a monthly subscription for usage.
Allow users to download or deploy pre-built models (e.g., TFT trained on Alpha158) for a fee. The platform handles hosting and execution, while creators earn royalties.
💬 Integration Tip
Integrate with ZVT (a native Python framework for A-share, HK, crypto) using the provided install script, and ensure data sources (eastmoney, joinquant, etc.) match the target market.
Scored Jul 20, 2026
Query and trade on Polymarket prediction markets — check odds, trending markets, search events, view order books, place trades, and manage positions. Now ava...
Comprehensive US stock analysis including fundamental analysis (financial metrics, business quality, valuation), technical analysis (indicators, chart patterns, support/resistance), stock comparisons, and investment report generation. Use when user requests analysis of US stock tickers (e.g., "analyze AAPL", "compare TSLA vs NVDA", "give me a report on Microsoft"), evaluation of financial metrics, technical chart analysis, or investment recommendations for American stocks.
This skill should be used when analyzing weekly price charts for stocks, stock indices, cryptocurrencies, or forex pairs. Use this skill when the user provides chart images and requests technical analysis, trend identification, support/resistance levels, scenario planning, or probability assessments based purely on chart data without consideration of news or fundamental factors.
Comprehensive market environment analysis and reporting tool. Analyzes global markets including US, European, Asian markets, forex, commodities, and economic indicators. Provides risk-on/risk-off assessment, sector analysis, and technical indicator interpretation. Triggers on keywords like market analysis, market environment, global markets, trading environment, market conditions, investment climate, market sentiment, forex analysis, stock market analysis, 相場環境, 市場分析, マーケット状況, 投資環境.
财务分析 CLI 技能 - 财报分析、股票估值、风险评估
Automation skill for DELLIGHT Content & Marketing Operations.