提供 A 股市场的因子计算、存储与 tear sheet 分析能力,支持 Pandas/Polars 零拷贝数据转换和 QIFI 账户回测模拟,适用于多数据源量化研究。
Scanned 9/9/2026
Install to Claude Code
npx -y skills add Lord1Egypt/awesome-skill-forge --skill quantaxis-data-platform --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: quantaxis-data-platform
description: |-
提供 A 股市场的因子计算、存储与 tear sheet 分析能力,支持 Pandas/Polars 零拷贝数据转换和 QIFI 账户回测模拟,适用于多数据源量化研究。
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-090"
compiled_at: "2026-04-22T13:00:37.999318+00:00"
capability_markets: "cn-astock"
capability_activities: "backtesting, factor-research"
sop_version: "crystal-compilation-v6.1"
---
# QuantAxis 数据平台 (quantaxis-data-platform)
> 提供 A 股市场的因子计算、存储与 tear sheet 分析能力,支持 Pandas/Polars 零拷贝数据转换和 QIFI 账户回测模拟,适用于多数据源量化研究。
## Pipeline
`data_collection -> data_storage -> factor_computation -> target_selection -> trading_execution -> visualization`
## Top Use Cases (8 total)
### Moving Average Factor Computation (`UC-101`)
Computes and stores a 5-day moving average (MA5) factor for daily stock data, enabling technical indicator analysis across multiple stocks using Click
**Triggers**: factor, moving average, MA5
### Factor Tear Sheet Analysis (`UC-102`)
Retrieves pre-computed MA5 factor data from ClickHouse and generates comprehensive tear sheets for factor performance analysis and visualization in re
**Triggers**: tear sheet, factor analysis, visualization
### Zero-Copy Data Bridge Conversion (`UC-103`)
Demonstrates efficient zero-copy conversion between Pandas and Polars dataframes, and shared memory-based cross-process data transmission for high-per
**Triggers**: pandas, polars, conversion
For all **8** use cases, see [references/USE_CASES.md](references/USE_CASES.md).
**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](references/LOCKS.md)
## Top Anti-Patterns (25 total)
- **`AP-ZVT-183`**: 除权因子为 inf/NaN 时直接参与乘法导致复权静默失败
- **`AP-ZVT-179`**: 第三方数据接口超限后异常被吞噬,数据静默缺失
- **`AP-ZVT-183B`**: HFQ(后复权)与 QFQ(前复权)K 线表使用错误导致因子计算漂移
All 25 anti-patterns: [references/ANTI_PATTERNS.md](references/ANTI_PATTERNS.md)
## Evidence Quality Notice
> [QUALITY NOTICE] This crystal was compiled from blueprint finance-bp-090. Evidence verify ratio = 67.7% and audit fail total = 30. 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](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](references/ANTI_PATTERNS.md) | 25 条跨项目反模式 | 开始实现前 |
| [references/WISDOM.md](references/WISDOM.md) | 跨项目精华借鉴 | 架构决策时 |
| [references/CONSTRAINTS.md](references/CONSTRAINTS.md) | domain + fatal 约束 | 规则冲突时 |
| [references/USE_CASES.md](references/USE_CASES.md) | 全量 KUC-* 业务场景 | 需要完整示例时 |
| [references/LOCKS.md](references/LOCKS.md) | SL-* + preconditions + hints | 生成回测/交易代码前 |
| [references/COMPONENTS.md](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-090` blueprint at 2026-04-22T13:00:37.999318+00:00.*
*See [human_summary.md](human_summary.md) for non-technical overview.*
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