Overview
- Skill Key
- ahuserious/strategy-workflow
- Author
- ahuserious
- Source Repo
- openclaw/skills
- Version
- 2.0.0
- Source Path
- skills/ahuserious/strategy-workflow
- Latest Commit SHA
- 3592e6de1aa8313e581e4cbd05d780354bebb293
Comprehensive strategy development workflow from ideation to validation. Use when creating trading strategies, running backtests, parameter optimization, or walk-forward validation.
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直接复制以下提示词,发送给你的 AI 助手即可完成安装。
请先检查是否已安装 SkillHub 商店,若未安装,请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店,然后安装 strategy-workflow 技能。 若已安装,则直接安装 strategy-workflow 技能。
# 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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