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Backtrader Event Driven

Name: Backtrader Event Driven
Author: tangweigang-jpg

作者 Tang Weigang · GitHub ↗ · v0.3.3 · MIT-0

cross-platform ⚠ suspicious

117

总下载

当前安装

版本数

在 OpenClaw 中安装

/install backtrader-event-driven

功能描述

运行经典双均线交叉策略回测，事件驱动模拟信号生成与持仓，输出 PyFolio 绩效报告。

使用说明 (SKILL.md)

Backtrader 事件回测 (backtrader-event-driven)

运行经典双均线交叉策略回测，事件驱动模拟信号生成与持仓，输出 PyFolio 绩效报告。

Pipeline

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

Top Use Cases (2 total)

SMA Crossover Backtester with PyFolio Analytics (`UC-101`)

Implements a classic dual moving average crossover trading strategy using backtrader, generating LONG/LONGSHORT signals when fast and slow SMAs cross, Triggers: backtrader, SMA crossover, moving average

OHLC Data Printer Utility (`UC-102`)

Provides a minimal backtrader strategy that logs and prints OHLC (Open, High, Low, Close) data in CSV format for debugging and verifying data feed int Triggers: backtrader, data printing, OHLC logging

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 (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

Evidence Quality Notice

[QUALITY NOTICE] This crystal was compiled from blueprint finance-bp-086. Evidence verify ratio = 28.8% and audit fail total = 15. 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	25 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-086 blueprint at 2026-04-22T13:00:35.750880+00:00. See human_summary.md for non-technical overview.

安全使用建议

This skill appears to be a legitimate backtesting helper, but the package metadata underreports what it actually needs. Before installing or running it: (1) confirm you have Python 3.12+ and an isolated virtual environment; (2) expect to need zvt and possibly data-provider credentials (eastmoney is free, joinquant/qmt require accounts) — ask the skill author to declare required env vars (e.g., JOINQUANT_TOKEN, QMT_API_KEY) and explicit install steps; (3) don't run it in a production / credentialed machine until you verify what commands it will execute (seed.yaml requests host install recipes and precondition pip installs); (4) review/validate the references/seed.yaml and LOCKS.md semantics (they enforce fatal constraints like next-bar execution and T+1 rules); and (5) run first in an isolated sandbox to confirm no unexpected network calls or writes. If the author cannot provide explicit dependency and credential declarations, treat the skill as untrusted.

功能分析

Type: OpenClaw Skill Name: backtrader-event-driven Version: 0.3.3 The skill bundle is a highly structured framework for quantitative trading backtests using the Backtrader and ZVT libraries. It contains extensive documentation, semantic locks (e.g., SL-01 to SL-12 in LOCKS.md), and domain constraints (e.g., SHARED-BT-LAB-001 in CONSTRAINTS.md) specifically designed to prevent common financial modeling errors like lookahead bias and survivorship bias. No evidence of malicious intent, data exfiltration, or harmful prompt injection was found; the provided instructions and configuration files (seed.yaml) are focused on ensuring the integrity and accuracy of financial simulations.

能力标签

cryptorequires-walletcan-make-purchasesrequires-sensitive-credentials

能力评估

⚠ Purpose & Capability

SKILL.md and companion files clearly implement a backtesting pipeline built on Python and ZVT (data recorders, providers like eastmoney/joinquant, ZVT_HOME). However the registry metadata lists no required binaries, no required env vars, and no install spec. The declared surface (no dependencies) does not match the skill's actual needs (Python 3.12+, zvt, data providers).

⚠ Instruction Scope

Runtime instructions (SKILL.md + seed.yaml + LOCKS.md/PC preconditions) tell an agent to run Python checks, potentially run pip install zvt, touch files under ~/.zvt, and enforce many fatal semantic locks (T+1, no look-ahead, specific DataFrame schemas). These are reasonable for a backtest tool, but the instructions also expect the agent to run environment-changing commands and to use external data providers (which may require credentials) — none of which are declared or scoped in the registry metadata.

ℹ Install Mechanism

The skill is instruction-only and has no declared install spec (lowest-risk form). However seed.yaml/execution_protocol references host_adapter.install_recipes[] and the SKILL.md header explicitly requires Python 3.12+ with the 'uv' package manager; this implicit install expectation isn't surfaced in the registry. The absence of an explicit, traceable install mechanism (e.g., a known package release) is an omission worth flagging.

⚠ Credentials

No environment variables or credentials are declared, yet the content references ZVT_HOME, pip installing zvt, and choosing providers like joinquant/qmt/eastmoney (some of which require API keys/accounts). The skill may ask users for provider credentials at runtime but does not declare or justify any required secret/env vars in the manifest — disproportionate and missing declarations.

ℹ Persistence & Privilege

always:false and no install spec mean the skill does not demand persistent, forced inclusion. However seed.yaml's execution_protocol instructs agents to 'reload seed.yaml', run preconditions, and run host install recipes if present — which implies the agent may execute environment-modifying commands during use. Autonomous invocation is allowed (platform default) and should be considered together with the other concerns.

如何使用

确保已安装 OpenClaw（本地或 Docker 部署）
在对话框中输入安装命令：/install backtrader-event-driven
安装完成后，直接呼叫该 Skill 的名称或使用 /backtrader-event-driven 触发
根据 Skill 的参数说明提供必要输入，即可获得结构化输出

版本历史

v0.3.3

v0.3.3: bilingual metadata injected. H1 shows Backtrader 事件回测; tagline replaced with skill-specific Chinese hook; tags upgraded to Level 1-4.

v0.3.1

Remove install.sh — knowledge-only bundle. Host AI consumes directly from URL; no user-side installation needed. Fixes ClawHub suspicious flag.

v0.3.0

Doramagic crystal portfolio v0.3.0. Full 5-layer bp-009 standard. github.com/tangweigang-jpg/doramagic-skills

v0.2.0

Doramagic crystal portfolio v0.2.0. Full 5-layer bp-009 standard. github.com/tangweigang-jpg/doramagic-skills

元数据

Slug backtrader-event-driven

版本 0.3.3

许可证 MIT-0

累计安装 0

当前安装数 0

历史版本数 4

常见问题