OpenClaw

strategy-workflow

Comprehensive strategy development workflow from ideation to validation. Use when creating trading strategies, running backtests, parameter optimization, or walk-forward validation.

ahuserious0 来源安装数☆ 0 仓库 Starsv2.0.0

查看来源 ↗安装与使用 SKILL.md ↗

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求，再添加到工作流。

SkillHub CLI

skillhub install ahuserious/strategy-workflow

打开来源仓库，查看说明和兼容环境后，按来源提供的命令或步骤安装。

将来源链接提供给你的 Agent，让它先读取说明、核对依赖，并向你说明将执行的安装步骤。

查看来源 ↗使用指南

技能说明

Strategy Workflow

Comprehensive strategy development workflow for quantitative trading, from hypothesis to validated production deployment.

Overview

This skill provides a complete framework for developing, testing, and validating trading strategies. It supports:

Hypothesis-driven strategy development
Multi-GPU backtesting on Vast.ai
Bayesian hyperparameter optimization with Optuna
Walk-forward validation and out-of-sample testing
Automated tearsheet generation

Entry Points

Control Plane (Swarm Orchestration)

Always-on watchdog loops that manage hardware utilization and self-healing:

bash scripts/start_swarm_watchdogs.sh

For local environments, set explicit paths:

VENV_PATH=/path/to/.venv/bin/activate \
RESULTS_ROOT=/path/to/backtests \
STATE_ROOT=/path/to/backtests/state \
LOGS_ROOT=/path/to/backtests/logs \
bash scripts/start_swarm_watchdogs.sh

Work Plane (Parallel Execution)

Unified wrapper that starts control plane and launches parallel work:

scripts/backtest-optimize --parallel

Multi-GPU, multi-symbol execution:

cd WORKFLOW && ./launch_parallel.sh

Single-Symbol Pipeline

For focused optimization on a single asset:

scripts/backtest-optimize --single --symbol SYMBOL --engine native --prescreen 50000 --paths 1000 --by-regime

Strategy Development

1. Hypothesis Formulation

Define your strategy hypothesis in measurable terms:

What market inefficiency are you exploiting?
What is the expected holding period?
What are the entry/exit conditions?
What is the target risk-adjusted return?

2. Feature Selection

Identify relevant features for signal generation:

Price-based (OHLCV, returns, volatility)
Technical indicators (EMA, RSI, Bollinger Bands)
Multi-timeframe features (MTF resampling)
Volume analysis (PVSRA, VWAP)
Market microstructure (order flow, spread)

3. Signal Generation

Convert features into actionable signals:

Dire...

来源信息

Source: github
Repository: openclaw/skills
Path: skills/ahuserious/strategy-workflow
Version: 2.0.0
Commit: 3592e6de1aa8313e581e4cbd05d780354bebb293
分类来源: rules
状态: active
可见性: public

这些信息来自收录时的来源分析，可能滞后；使用前请核对最新来源文件。

来源内容

SKILL.md

# Strategy Workflow

Comprehensive strategy development workflow for quantitative trading, from hypothesis to validated production deployment.

## Overview

This skill provides a complete framework for developing, testing, and validating trading strategies. It supports:

- Hypothesis-driven strategy development
- Multi-GPU backtesting on Vast.ai
- Bayesian hyperparameter optimization with Optuna
- Walk-forward validation and out-of-sample testing
- Automated tearsheet generation

## Entry Points

### Control Plane (Swarm Orchestration)

Always-on watchdog loops that manage hardware utilization and self-healing:

```bash
bash scripts/start_swarm_watchdogs.sh
```

For local environments, set explicit paths:

```bash
VENV_PATH=/path/to/.venv/bin/activate \
RESULTS_ROOT=/path/to/backtests \
STATE_ROOT=/path/to/backtests/state \
LOGS_ROOT=/path/to/backtests/logs \
bash scripts/start_swarm_watchdogs.sh
```

### Work Plane (Parallel Execution)

Unified wrapper that starts control plane and launches parallel work:

```bash
scripts/backtest-optimize --parallel
```

Multi-GPU, multi-symbol execution:

```bash
cd WORKFLOW && ./launch_parallel.sh
```

### Single-Symbol Pipeline

For focused optimization on a single asset:

```bash
scripts/backtest-optimize --single --symbol SYMBOL --engine native --prescreen 50000 --paths 1000 --by-regime
```

## Strategy Development

### 1. Hypothesis Formulation

Define your strategy hypothesis in measurable terms:

- What market inefficiency are you exploiting?
- What is the expected holding period?
- What are the entry/exit conditions?
- What is the target risk-adjusted return?

### 2. Feature Selection

Identify relevant features for signal generation:

- Price-based (OHLCV, returns, volatility)
- Technical indicators (EMA, RSI, Bollinger Bands)
- Multi-timeframe features (MTF resampling)
- Volume analysis (PVSRA, VWAP)
- Market microstructure (order flow, spread)

### 3. Signal Generation

Convert features into actionable signals:

- Dire...

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