About this skill

Problem It Solves

A-share technical analysis often depends on scattered formulas, manual adjustment, and inconsistent field alignment. This skill helps engineers compute reproducible technical indicator values from market data, without producing buy/sell signals or directional judgments.

How It Works

Scope selection: compute by category across overbought/oversold, trend, energy, volume, moving average, path, and other groups, or target a single indicator.
Data preparation: fetches the trading calendar, K-line data, and backward adjustment factors from AmazingData; aligns stock adjustment factors by kline_time and calculates forward-adjusted OHLC.
Indicator computation: uses MathFunction, StatisticsFunction, and TimeSeriesFunction to return each indicator as a Series dictionary.
Use cases: data validation, feature engineering, and quantitative research workflows.

Boundaries and Caveats

The output is objective technical indicator values only and is not investment advice.
A valid AmazingData account and runtime environment are required; single-sign-on limits concurrent sessions.
Indices and funds are not forward-adjusted; stock data may be traced back to 2013.

Screenshots

Use Cases

Quant researchers batch-compute KDJ, MACD, and OBV before backtesting, then align the returned Series.
Analysts validate forward-adjusted RSI and BOLL values for an A-share ticker against an internal model.
Strategy engineers export overbought/oversold, trend, and volume indicator features into a backtest table.
Research assistants reconcile AmazingData amount fields with AMO and TAPI outputs to spot missing data.

Best For

Quant strategy engineers: convert multi-ticker A-share OHLCV data into backtest-ready indicator features.
Data analysts: batch-compute and reconcile forward-adjusted K-line indicator results by category.
Research support staff: generate MACD, RSI, and similar indicator values from AmazingData market data.
FinTech engineers: validate time-series operator outputs against internal indicator formulas.

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