Tencent SkillHub · Data Analysis

Stock Strategy Backtester

Backtest stock trading strategies on historical OHLCV data and report win rate, return, CAGR, drawdown, Sharpe ratio, and trade logs. Use when evaluating or...

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High Signal

Backtest stock trading strategies on historical OHLCV data and report win rate, return, CAGR, drawdown, Sharpe ratio, and trade logs. Use when evaluating or...

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Quick setup

Download the package from Yavira.
Extract the archive and review SKILL.md first.
Import or place the package into your OpenClaw setup.

Requirements

Target platform: OpenClaw
Install method: Manual import
Extraction: Extract archive
Prerequisites: OpenClaw
Primary doc: SKILL.md

Package facts

Download mode: Yavira redirect
Package format: ZIP package
Source platform: Tencent SkillHub
What's included: SKILL.md, agents/openai.yaml, references/backtest-metrics.md, scripts/backtest_strategy.py

Validation

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Confirm the extracted package contains the expected setup assets.

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Trust & source

Release facts

Source: Tencent SkillHub
Verification: Indexed source record
Version: 1.0.4

Provenance

Publisher: taylen
Source page: View original listing
Canonical URL: Open canonical page

Documentation

ClawHub primary doc Primary doc: SKILL.md 8 sections Open source page

Version Notice

1.0.0 and 1.0.1 are deprecated. Use 1.0.2 or newer only. Deprecation reason: early versions bundled non-core marketplace automation files and may trigger security scanner warnings in some environments.

Overview

Run repeatable, long-only stock strategy backtests from daily OHLCV CSV files. Use bundled scripts to generate consistent metrics and trade-level output, then summarize with investor-friendly conclusions.

Quick Start

Prepare a CSV with at least Date and Close columns. Run a baseline backtest: python scripts/backtest_strategy.py \ --csv /path/to/prices.csv \ --strategy sma-crossover \ --fast-window 20 \ --slow-window 60 Export artifacts for review: python scripts/backtest_strategy.py \ --csv /path/to/prices.csv \ --strategy rsi-reversion \ --rsi-period 14 \ --rsi-entry 30 \ --rsi-exit 55 \ --commission-bps 5 \ --slippage-bps 2

Workflow

Validate data Ensure Date is parseable and sorted ascending. Ensure Open/High/Low/Close are numeric; missing Open/High/Low falls back to Close. Pick strategy logic sma-crossover: trend-following with fast/slow moving averages. rsi-reversion: buy oversold and exit on momentum recovery. breakout: enter on highs breakout and exit on lows breakdown. Set realistic assumptions Always set --commission-bps and --slippage-bps. Avoid reporting cost-free backtests as production-ready. Compare variants Change one parameter block at a time. Compare on the same date range and same cost model. Produce final summary Report: total_return_pct, cagr_pct, win_rate_pct, max_drawdown_pct, sharpe_ratio, profit_factor, and trade count. Use trade CSV to explain where alpha is coming from.

Supported Commands

Baseline SMA strategy: python scripts/backtest_strategy.py \ --csv /path/to/prices.csv \ --strategy sma-crossover \ --fast-window 10 \ --slow-window 50 Breakout strategy: python scripts/backtest_strategy.py \ --csv /path/to/prices.csv \ --strategy breakout \ --lookback 20 JSON-only output (for automation pipelines): python scripts/backtest_strategy.py \ --csv /path/to/prices.csv \ --strategy rsi-reversion \ --quiet

Output Contract

Script prints a JSON object to stdout with: strategy period metrics config trades

Analysis Guardrails

Use out-of-sample logic Prefer walk-forward validation over one-shot tuning. Avoid leakage Compute signals from bar t, execute at bar t+1 open. Report downside with upside Never present return without drawdown and trade count. Treat results as research Backtests are not guarantees and should not be framed as financial advice.

References

Metrics details: references/backtest-metrics.md

Category context

Data access, storage, extraction, analysis, reporting, and insight generation.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package

2 Docs1 Scripts1 Config

SKILL.md Primary doc
references/backtest-metrics.md Docs
scripts/backtest_strategy.py Scripts
agents/openai.yaml Config