Explain, implement, or debug TqSdk Python workflows for waitupdate or ischanging update loops, market data retrieval, historical download, account type selection, funds or positions or orders or trades, field meanings, order placement or cancellation, target-position tools, TqScenario margin trials, real-account…
A procedure for turning a trading strategy or research report into a QMT daily factor backtest script. QMT is a Chinese trading-platform environment, and a backtest simulates how a strategy would have traded using historical data.
Use this skill to map the genealogical lineage and historical progression of a research field. It is designed to visualize the evolutionary path of ideas, showing how technical challenges in earlier works were addressed by subsequent research improvements. The final deliverable is a Markdown file with embedded Mermaid…
A research workflow based on Chan theory, a method of analysing market price structures across several time levels. It turns concepts such as trends, pivots, divergence, and buy or sell points into reproducible study or backtesting rules.
Run and read a NexusTrade walk-forward out-of-sample study — the certification engine behind the Public Portfolio Challenge. Use when certifying a fixed portfolio (backtestonly) or re-optimizing one (sweep), when setting foldcount / anchored / validation / embargo params, when monitoring a runwalkforwardstudy to…
An A-share stock analysis and selection tool for China’s stock market. It combines market data, company measures, price-pattern analysis, scores, signals, and a managed list of stocks.
This skill creates disciplined investment retrospectives for public-market equities by starting from abnormal price windows and testing candidate drivers before generating a narrative.
A research workflow for tracking the life cycle of an investment theme and identifying the companies or other assets best connected to it. It separates broad industry research, theme-based research, and analysis of individual stocks.
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originalMIT
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