Overview
- Skill Key
- collierking/backtestbot
- Author
- collierking
- Source Repo
- openclaw/skills
- Version
- -
- Source Path
- skills/collierking/backtestbot
- Latest Commit SHA
- a57a9ccef9b2c8d98f5e3cdaaea22d82626027d2
Stars
0
Installs
0
Status
ACTIVE
Visibility
PUBLIC
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 Backtestbot 技能。 若已安装,则直接安装 Backtestbot 技能。
# BacktestBot Backtest trading strategies against historical market data with detailed performance analytics. ## What it does BacktestBot enables you to define, test, and evaluate trading strategies using historical data, including: - **Strategy definition** — describe strategies in natural language or structured rules (entry/exit signals, position sizing, stop losses) - **Historical simulation** — run strategies against years of tick or daily data across equities, options, futures, and crypto - **Performance metrics** — Sharpe ratio, max drawdown, win rate, profit factor, CAGR, and trade-level breakdown - **Risk analysis** — value-at-risk, correlation to benchmarks, worst-case drawdown periods, and tail risk metrics - **Comparison** — test multiple strategy variants side-by-side and rank by risk-adjusted returns ## Usage Ask your agent to backtest strategies and analyze results: - "Backtest a mean reversion strategy on SPY using RSI below 30 as entry over the last 5 years" - "Compare buy-and-hold vs momentum rotation across the S&P 500 sectors since 2020" - "What is the max drawdown if I use a 2% trailing stop on AAPL swing trades?" - "Optimize the lookback period for my moving average crossover strategy on QQQ" ## Configuration Set the following environment variables: - `BACKTESTBOT_API_KEY` — API key for BacktestBot. Used to authenticate requests for historical OHLCV data, strategy simulations, and performance metrics. - `BACKTESTBOT_DATA_DIR` — (optional) local directory for cached historical data. Defaults to `~/.backtestbot/data`.
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