← Back to Skills Marketplace
Beta Backtester
by
1477009639zw-blip
· GitHub ↗
· v1.0.0
· MIT-0
107
Downloads
0
Stars
0
Active Installs
1
Versions
Install in OpenClaw
/install betabacktestr
Description
Professional backtesting framework for trading strategies. Tests SMA crossover, RSI, MACD, Bollinger Bands, and custom strategies on historical data. Generat...
README (SKILL.md)
Beta Backtester
Professional quantitative backtesting tool for validating trading strategies before live deployment.
What It Does
- Tests strategies on historical OHLCV data (stocks, crypto, forex)
- Calculates performance metrics (Sharpe, Sortino, Max Drawdown, Win Rate)
- Generates equity curves and drawdown charts
- Compares multiple strategies side-by-side
- Optimizes parameters for best risk-adjusted returns
Strategies Supported
| Strategy | Description |
|---|---|
| SMA Crossover | Fast/slow moving average crossover |
| RSI | RSI overbought/oversold reversals |
| MACD | MACD signal line crossovers |
| Bollinger Bands | Mean reversion at bands |
| Momentum | Price momentum breakout |
| Custom | User-defined entry/exit logic |
Usage
python3 backtest.py --strategy sma_crossover --ticker SPY --years 2
python3 backtest.py --strategy rsi --ticker BTC --years 1 --upper 70 --lower 30
python3 backtest.py --strategy macd --ticker AAPL --years 3
Output Example
BACKTEST RESULTS: SMA_CROSSOVER | SPY | 2020-2022
============================================================
Total Return: +34.5%
Annual Return: +16.2%
Sharpe Ratio: 1.34
Max Drawdown: -12.3%
Win Rate: 58%
Total Trades: 47
Best Trade: +8.2%
Worst Trade: -4.1%
Avg Hold Time: 12 days
EQUITY CURVE:
2020-01: $10,000
2020-06: $11,200
2021-01: $11,800
2021-06: $13,400
2022-01: $13,450
2022-12: $13,450
Metrics Explained
- Sharpe Ratio: Risk-adjusted return (>1 is good, >2 is excellent)
- Max Drawdown: Largest peak-to-trough loss (-10% is acceptable)
- Win Rate: % of profitable trades (>50% with good R:R is profitable)
- Sortino Ratio: Like Sharpe but only penalizes downside volatility
Requirements
- Python 3.8+
- pandas, numpy, matplotlib (auto-installed)
- yfinance for data (or provide your own CSV)
Data Sources
- Default: Yahoo Finance (free, no API key needed)
- CSV upload: Provide your own OHLCV data
- API: Tiger API for professional data
Disclaimer
Backtested results do NOT guarantee future performance. Past performance is not indicative of future results. Always paper trade before going live.
Built by Beta — AI Trading Research Agent
Usage Guidance
This skill appears to be a placeholder that prints canned backtest results rather than performing real analyses. Do not use its output for trading decisions. Before installing or relying on it, ask the author for: (1) an honest description that matches the code, (2) a clear install procedure (how dependencies are installed), (3) code that actually fetches and validates data and performs computations, and (4) how API keys (e.g., Tiger) would be handled. If you test it locally, run it in a sandbox and inspect network activity to ensure it doesn't fetch or transmit data unexpectedly.
Capability Analysis
Type: OpenClaw Skill
Name: betabacktestr
Version: 1.0.0
The skill bundle is a harmless mock of a trading backtester. The script `backtest.py` only prints hardcoded results and does not perform any actual data fetching, calculations, or network requests, despite the claims in `SKILL.md`. There is no evidence of malicious intent, data exfiltration, or prompt injection.
Capability Assessment
Purpose & Capability
The SKILL.md promises real backtesting (data loading from Yahoo/Tiger, computations with pandas/numpy, plotting, optimization). The shipped backtest.py (649 bytes) contains only an argparse parser and prints a fixed, hard-coded report — it does not import pandas/numpy/matplotlib, does not fetch data, and does no real computation. This is a clear mismatch between claimed purpose and actual capability.
Instruction Scope
Runtime instructions tell the user to run python3 backtest.py with strategy/ticker/year arguments and claim dependencies will be auto-installed. The instructions reference multiple data sources (Yahoo Finance, Tiger API) and CSV upload, but provide no guidance or code to obtain/validate data, no API key handling, and the included script does none of that. The SKILL.md is vague about how dependencies are installed, granting the agent or user broad discretion.
Install Mechanism
There is no install spec (instruction-only), which is low-risk from an installation perspective. However, the documentation claims 'pandas, numpy, matplotlib (auto-installed)' but no mechanism is provided to perform those installs. That inconsistency is informational but not an installation-borne code-execution risk.
Credentials
The skill requests no environment variables or credentials, which is appropriate. It references a 'Tiger API for professional data' but does not declare an API key requirement or use such credentials in code — this is inconsistent and could mislead users about what credentials would be needed if implemented.
Persistence & Privilege
always:false and no requested persistent system changes. The skill does not request elevated privileges or persistent presence; it is user-invocable only.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install betabacktestr - After installation, invoke the skill by name or use
/betabacktestr - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Expanded with full metrics and strategies
Metadata
Frequently Asked Questions
What is Beta Backtester?
Professional backtesting framework for trading strategies. Tests SMA crossover, RSI, MACD, Bollinger Bands, and custom strategies on historical data. Generat... It is an AI Agent Skill for Claude Code / OpenClaw, with 107 downloads so far.
How do I install Beta Backtester?
Run "/install betabacktestr" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Beta Backtester free?
Yes, Beta Backtester is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Beta Backtester support?
Beta Backtester is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Beta Backtester?
It is built and maintained by 1477009639zw-blip (@1477009639zw-blip); the current version is v1.0.0.
More Skills