Pandas Ta Indicatorsv0.3.3

A user wants to compute RSI, MACD, and Bollinger Bands for a specific A-share stock (e.g., 600000.SH) using free data from eastmoney. The skill fetches historical price data, applies TA-Lib functions, and returns the indicator values in a pandas DataFrame for further analysis or export.

A trader needs to visualize Bollinger Bands, Keltner Channel, and MACD on historical price data for a crypto asset (e.g., BTC/USDT). The skill generates interactive charts using Matplotlib or Plotly, allowing the user to observe price volatility and potential trading signals.

A quant developer wants to backtest a MACD golden-cross strategy on an A-share index component list (e.g., CSI 300) with custom parameters (fast=12, slow=26, signal=9 are locked but can be overridden with caution). The skill automates data collection, factor computation, and generates trading signals with next-bar execution.

An investor screens Hong Kong stocks (e.g., 00700.HK) using a combination of RSI, volume breakout, and Donchian Channel. The skill computes all indicators in one pipeline and outputs a filtered list of stocks meeting criteria (e.g., RSI < 30, breakout above upper channel).

Provide pre-built MACD, MA crossover, and volume breakout strategies for A-share and HK markets. Users upload their stock watchlist, run backtests, and export results. Revenue from subscription fees per strategy pack or per backtest.

Offer a REST API that returns computed technical indicators for any supported market (A-share, HK, crypto). Hedge funds integrate the API into their own trading systems. Revenue from API call volume or enterprise licensing.

Build an interactive learning platform where users can visualize indicators on historical data, experiment with parameters, and understand trading concepts. Revenue from course subscriptions and certification fees.