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Generate QMT quant research, factor, and backtest scripts.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "xtquantai" yet — see the docs or source repo.
Based on Xtquant QMT, generate a runnable factor backtest script: build a factor from close price and volume, then perform backtest, performance stats, and result output.
A runnable QMT Python backtest script.
Please turn the following research notes into quant factor ideas, and provide a corresponding QMT implementation framework and code skeleton.
Factor design ideas, implementation framework, and code skeleton.
Please generate a QMT data fetching and preprocessing script: get historical market data for a specified stock universe, handle missing values, align data, and save features.
A script for data fetching, cleaning, alignment, and feature saving.
Turn plain-English strategies into quant research with screening, backtests, and factor analysis.
Backtest A-share quant strategies with natural language and compare results fast.
Run quantitative finance analysis, backtests, risk evaluation, and portfolio optimization by chat.
Search quant roles, tailor CVs, and analyze skill gaps conversationally.
Provides reusable AI agent skills for Clawdbot, Claude Code, and Codex.
Access macro events, earnings, and market data for AI-driven research.