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Cuemacro Finmarket

核心功能涵盖FX G10货币对技术指标策略回测、ArcticDB高频tick数据本地与S3云端存储、Quandl等多源市场数据获取缓存。典型场景包括策略回测、高频数据管理、外部数据获取。需用户提供目标市场、数据源等信息,基于语义锁生成合规结果,避免交易逻辑错误,适配量化交易需求。

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热度 48.21
最近更新 2026-05-11 17:45:14
分类:数据依赖:代码执行 / 读写文件 / 第三方 API应用场景:财务 / 数据处理 / 市场分析 / 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 cuemacro-finmarket
Metadata
name
cuemacro-finmarket
description
金融市场回测框架,支持FX G10货币对技术指标策略回测、ArcticDB高频tick数据本地与S3云端存储、Quandl等数据源的市场数据获取与缓存。
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-108","compiled_at":"2026-04-22T13:00:51.768652+00:00","capability_markets":"multi-market","capability_activities":"portfolio-analytics","sop_version":"crystal-compilation-v6.1"}

Cuemacro 市场工具 (cuemacro-finmarket)

金融市场回测框架,支持FX G10货币对技术指标策略回测、ArcticDB高频tick数据本地与S3云端存储、Quandl等数据源的市场数据获取与缓存。

Pipeline

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

Top Use Cases (4 total)

ArcticDB Tick Data Storage (UC-101)

Provides persistent storage for high-frequency tick market data using ArcticDB, supporting both local LMDB and S3 cloud storage backends for efficient Triggers: arcticdb, tick data storage, time series database

Market Data Fetching from Vendors (UC-103)

Fetches economic and financial market data from external vendors like Quandl, demonstrating how to request and cache market data with specific fields Triggers: market data, quandl, fetch data

S3 Cloud Storage for Tick Data (UC-104)

Demonstrates writing and reading tick market data to/from AWS S3 cloud storage using Parquet format for efficient compression and retrieval of histori Triggers: s3 storage, aws, parquet

For all 4 use cases, see 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

Top Anti-Patterns (14 total)

  • AP-PORTFOLIO-ANALYTICS-001: Division by zero in price ratio calculations corrupts rebalancing
  • AP-PORTFOLIO-ANALYTICS-002: Look-ahead bias from unshifted signal generation and position calculations
  • AP-PORTFOLIO-ANALYTICS-003: Non-positive-semidefinite covariance matrix breaks CVXPY optimization

All 14 anti-patterns: references/ANTI_PATTERNS.md

Evidence Quality Notice

[QUALITY NOTICE] This crystal was compiled from blueprint finance-bp-108. Evidence verify ratio = 32.0% and audit fail total = 18. 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 14 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-108 blueprint at 2026-04-22T13:00:51.768652+00:00. See human_summary.md for non-technical overview.