Pandas Ta Indicators

核心功能：基于pandas-ta计算RSI、MACD、布林带等技术指标，支持多市场（A股、港股、加密货币等）数据处理，可自定义参数并生成可视化图表，还能配置Sphinx文档。典型场景：技术指标分析可视化、自动化API文档生成。需输入目标市场、数据源、策略类型、时间范围及标的ID，输出指标结果、图表或文档配置，兼容Doramagic生态，有规则保障合规。

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热度 48.41

最近更新 2026-05-18 11:47:36

分类：数据依赖：代码执行 / 读写文件 / 第三方 API应用场景：数据处理 / 市场分析 / 财务 / 报告撰写

安装技能

复制下面的话术发给你的 Agent，它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill： npx secure-skills-cli add pandas-ta-indicators

Metadata

name: pandas-ta-indicators
description: 基于 pandas-ta 库计算技术分析指标（RSI、MACD、布林带、KAMA 等），支持多市场数据可视化与自定义参数调整。。
license: Proprietary. See LICENSE.txt in project root.
compatibility: Designed for Doramagic-host ecosystem (Claude Code / openclaw / Cursor). Requires Python 3.12+ with uv package manager.
metadata: {"version":"v6.1","blueprint_id":"finance-bp-122","compiled_at":"2026-04-22T13:01:00.198579+00:00","capability_markets":"multi-market","capability_activities":"technical-analysis","sop_version":"crystal-compilation-v6.1"}

Pandas-TA 技术指标 (pandas-ta-indicators)

基于 pandas-ta 库计算技术分析指标（RSI、MACD、布林带、KAMA 等），支持多市场数据可视化与自定义参数调整。

Pipeline

data_collection -> data_storage -> factor_computation -> target_selection -> trading_execution -> visualization

Top Use Cases (2 total)

Sphinx Documentation Configuration (`UC-101`)

Configures the Sphinx documentation builder for the Technical Analysis Library, enabling automated generation of API documentation Triggers: documentation, sphinx, config

Technical Analysis Features Visualization (`UC-102`)

Explores and visualizes various technical analysis indicators (Bollinger Bands, Keltner Channel, Donchian Channel, MACD) on historical price data to u Triggers: visualize, technical indicators, charting

Execute trigger: When user intent matches intent_router.uc_entries[].positive_terms AND user uses action verb (run/execute/跑/执行/backtest/fetch/collect)

What I'll Ask You

Target market: A-share (default), HK, or crypto? (US stocks in ZVT are half-baked — stockus_nasdaq_AAPL exists but coverage is thin)
Data source / provider: eastmoney (free, no account), joinquant (account+paid), baostock (free, good history), akshare, or qmt (broker)?
Strategy type: MACD golden-cross, MA crossover, volume breakout, fundamental screen, or custom factor?
Time range: start_timestamp and end_timestamp for backtest period
Target entity IDs: specific stocks (stock_sh_600000) or index components (SZ1000)?

Semantic Locks (Fatal)

ID	Rule	On Violation
`SL-01`	Execute sell orders before buy orders in every trading cycle	halt
`SL-02`	Trading signals MUST use next-bar execution (no look-ahead)	halt
`SL-03`	Entity IDs MUST follow format entity_type_exchange_code	halt
`SL-04`	DataFrame index MUST be MultiIndex (entity_id, timestamp)	halt
`SL-05`	TradingSignal MUST have EXACTLY ONE of: position_pct, order_money, order_amount	halt
`SL-06`	filter_result column semantics: True=BUY, False=SELL, None/NaN=NO ACTION	halt
`SL-07`	Transformer MUST run BEFORE Accumulator in factor pipeline	halt
`SL-08`	MACD parameters locked: fast=12, slow=26, signal=9	halt

Full lock definitions: references/LOCKS.md

Top Anti-Patterns (15 total)

AP-TECHNICAL-ANALYSIS-001: C FFI Type Mismatch with Non-float64 Arrays
AP-TECHNICAL-ANALYSIS-002: Multidimensional Array Memory Access Violations
AP-TECHNICAL-ANALYSIS-003: Ignoring TA_RetCode Error Status from C Calls

All 15 anti-patterns: references/ANTI_PATTERNS.md

Evidence Quality Notice

[QUALITY NOTICE] This crystal was compiled from blueprint finance-bp-122. Evidence verify ratio = 72.5% and audit fail total = 34. Generated results may have uncaptured requirement gaps. Verify critical decisions against source files (LATEST.yaml / LATEST.jsonl).

Reference Files

File	Contents	When to Load
references/seed.yaml	V6+ 全量权威 (source-of-truth)	有行为/决策争议时必读
references/ANTI_PATTERNS.md	15 条跨项目反模式	开始实现前
references/WISDOM.md	跨项目精华借鉴	架构决策时
references/CONSTRAINTS.md	domain + fatal 约束	规则冲突时
references/USE_CASES.md	全量 KUC-* 业务场景	需要完整示例时
references/LOCKS.md	SL-* + preconditions + hints	生成回测/交易代码前
references/COMPONENTS.md	AST 组件地图（按 module 拆分）	查 API 时

Compiled by Doramagic crystal-compilation-v6.1 from finance-bp-122 blueprint at 2026-04-22T13:01:00.198579+00:00. See human_summary.md for non-technical overview.