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Freqtrade Crypto Bot

Name: Freqtrade Crypto Bot
Author: tangweigang-jpg

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

cross-platform ⚠ suspicious

106

总下载

当前安装

版本数

在 OpenClaw 中安装

/install freqtrade-crypto-bot

功能描述

使用 Freqtrade 框架加载多交易所 OHLCV 历史数据并进行策略回测分析。

使用说明 (SKILL.md)

Freqtrade 加密回测 (freqtrade-crypto-bot)

使用 Freqtrade 框架加载多交易所 OHLCV 历史数据并进行策略回测分析。

Pipeline

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

Top Use Cases (1 total)

Strategy Analysis Template (`UC-101`)

Users need a template to load historical market data and analyze trading strategy performance using Freqtrade's configuration and history loading capa Triggers: strategy analysis, backtesting template, historical data loading

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-085. Evidence verify ratio = 43.3% and audit fail total = 1. 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-085 blueprint at 2026-04-22T13:00:34.948027+00:00. See human_summary.md for non-technical overview.

安全使用建议

Do not install or run this skill in a production or privileged environment yet. Ask the publisher for clarifications: (1) Why does a 'Freqtrade' skill include heavy ZVT/Qlib artifacts and seed.yaml that require zvt and ZVT_HOME? (2) Confirm the exact runtime requirements (Python version, package manager 'uv') and provide an explicit install spec if the skill needs to install packages. (3) Ask the author to declare any environment variables the skill will read or modify. If you still want to test it, run it in an isolated sandbox or VM with no sensitive credentials, and monitor for any pip installs or filesystem writes. Finally, note the SKILL.md's evidence-quality warning (low verify ratio) — treat outputs as unverified until you can audit them.

功能分析

Type: OpenClaw Skill Name: freqtrade-crypto-bot Version: 0.3.3 The skill bundle is a legitimate and highly structured framework for quantitative trading strategy development and backtesting. It provides the AI agent with a sophisticated set of domain-specific constraints, semantic locks (e.g., SL-01 through SL-12), and a detailed catalog of anti-patterns (e.g., AP-ZVT-183, AP-QLIB-1930) designed to prevent common financial modeling errors like look-ahead bias and data leakage. The instructions in SKILL.md and references/seed.yaml are strictly aligned with the stated purpose of market data analysis and strategy evaluation, and the environment checks (preconditions) are standard for verifying the local Python environment. No evidence of malicious intent, data exfiltration, or harmful prompt injection was detected.

能力标签

cryptorequires-walletcan-make-purchasesrequires-sensitive-credentials

能力评估

⚠ Purpose & Capability

The skill is named and described as a 'Freqtrade Crypto Bot', but the bundled materials heavily reference ZVT, Qlib, and other backtesting frameworks (many ZVT anti-patterns, preconditions, and a large seed.yaml). That mix of different toolchains is unexpected for a focused Freqtrade skill. The SKILL.md also declares a runtime requirement (Python 3.12+ and an 'uv' package manager) even though the registry metadata lists no required binaries or env — a clear mismatch.

⚠ Instruction Scope

SKILL.md and seed.yaml contain explicit execution protocol steps: re-read seed.yaml at runtime, run preconditions that execute python one-liners (e.g., import zvt, check ZVT_HOME, try recorders), and instruct running pip install if checks fail. Although there is no code shipped, these instructions tell an agent to run environment-modifying commands and to access filesystem/environment values (ZVT_HOME). That scope goes beyond a passive README and grants the skill runtime discretion to install packages and probe the host.

ℹ Install Mechanism

There is no declared install spec and no code files (instruction-only), which is lower risk. However the execution_protocol in seed.yaml and SKILL.md instruct the agent to invoke host install recipes and to pip-install zvt if preconditions fail. The absence of an explicit, declared install spec combined with runtime instructions to install packages is an inconsistency worth clarifying.

⚠ Credentials

Registry metadata claims no required env vars, but SKILL.md/seed.yaml reference ZVT_HOME and preconditions run code that reads os.environ. The skill also instructs installing third-party Python packages (zvt). Requesting or reading unlisted environment variables and recommending installs is disproportionate to what a simple Freqtrade backtest template should need and should be explicitly declared.

ℹ Persistence & Privilege

always is false (no forced global inclusion). The skill's execution_protocol asks the agent to run host install recipes and to re-load seed.yaml on each execution; this can change the agent's runtime environment but is not the same as always:true. Autonomous invocation is allowed by default (platform normal) — combine this with the other concerns before enabling autonomous runs.

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 freqtrade-crypto-bot
安装完成后，直接呼叫该 Skill 的名称或使用 /freqtrade-crypto-bot 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 Freqtrade 加密回测; 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

元数据

Slug freqtrade-crypto-bot

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 3

常见问题