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loutai0307-prog

Bytesagain Quant Trader

by loutai0307-prog · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install bytesagain-quant-trader
Description
Build and analyze quantitative trading strategies. Input: asset, timeframe, parameters. Output: strategy logic, backtest signals, risk metrics, position sizi...
README (SKILL.md)

Quant Trader

Build, analyze, and optimize quantitative trading strategies. Covers signal generation, risk metrics, position sizing, and backtesting logic for crypto and equity markets.

Commands

strategy

Generate a quantitative trading strategy for a given asset and timeframe.

bash scripts/script.sh strategy --asset BTC --timeframe 4h --style momentum

Styles: momentum, mean-reversion, breakout, trend-following, pairs

signal

Analyze price action and generate entry/exit signals.

bash scripts/script.sh signal --asset ETH --price 3200 --ma20 3050 --ma50 2900 --rsi 62 --volume "above-avg"

backtest

Estimate strategy performance metrics from parameters.

bash scripts/script.sh backtest --strategy momentum --asset BTC --period "2023-2024" --entry-rsi 30 --exit-rsi 70

risk

Calculate position size and risk metrics.

bash scripts/script.sh risk --capital 10000 --risk-pct 1 --entry 3200 --stop 3050

portfolio

Analyze portfolio allocation and correlation.

bash scripts/script.sh portfolio --assets "BTC,ETH,SOL,BNB" --weights "40,30,20,10"

screener

Screen assets by technical criteria.

bash scripts/script.sh screener --market crypto --filter "rsi\x3C35,above-ma200,volume-spike"

help

Show all commands.

bash scripts/script.sh help

Key Metrics Output

  • Sharpe ratio, max drawdown, win rate, profit factor
  • Position sizing: Kelly criterion and fixed fractional
  • Risk/reward ratio per trade

Disclaimer

For educational and research purposes only. Not financial advice. Always verify with real market data before trading.

Feedback

https://bytesagain.com/feedback/ Powered by BytesAgain | bytesagain.com

Usage Guidance
This skill appears to be a self-contained local helper that prints trading strategy text and performs simple calculations. Before installing or running: (1) review the remainder of scripts/script.sh (the supplied file was truncated in the listing) to confirm there are no hidden network calls or commands that were not shown; (2) run it in a safe environment (sandbox/container) if you are cautious; (3) be aware it will create ~/.local/share/bytesagain-quant-trader and possibly write files there — inspect that folder if you care about disk writes; (4) never pass real secret keys or sensitive credentials on the command line to this tool; (5) treat outputs as educational only (the skill itself includes a disclaimer). If you want higher assurance, ask the author for a full review of the remaining script content and any change history or provenance (source/homepage are unknown).
Capability Analysis
Type: OpenClaw Skill Name: bytesagain-quant-trader Version: 1.0.0 The skill bundle provides a legitimate set of tools for quantitative trading analysis, including strategy templates, risk calculations, and portfolio metrics. The implementation in `scripts/script.sh` uses safe practices for passing arguments to Python sub-processes and contains no evidence of data exfiltration, malicious execution, or prompt injection. All functionality is consistent with the stated educational and research purposes.
Capability Tags
crypto
Capability Assessment
✓ Purpose & Capability
The name/description (quant trading, backtests, signals, risk sizing) matches the included SKILL.md and scripts/script.sh behavior. The script implements the listed commands (strategy, signal, backtest-like outputs, risk, portfolio, screener) and only performs local computations and prints results.
ℹ Instruction Scope
Runtime instructions call bash scripts/script.sh with well-scoped CLI args. The script runs embedded Python and prints analyses. It creates a data directory (~/.local/share/bytesagain-quant-trader) but the checked portions do not read other user files, environment variables, or call external endpoints. Note: the script can write into the user's home directory (its own data dir); this is expected for local caching but you may want to inspect what it stores if that matters.
✓ Install Mechanism
No install spec; this is an instruction/script-only skill. There are no downloads or package installs in the provided files.
✓ Credentials
The skill declares no required environment variables or credentials and the script does not reference any secrets. Arguments are passed on the command line; avoid putting secrets or private API keys in CLI arguments regardless.
✓ Persistence & Privilege
always is false and the skill does not request system-wide configuration changes. It creates and uses its own data directory under the user's home directory only.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install bytesagain-quant-trader
  3. After installation, invoke the skill by name or use /bytesagain-quant-trader
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release
Metadata
Slug bytesagain-quant-trader
Version 1.0.0
License MIT-0
All-time Installs 1
Active Installs 1
Total Versions 1
Frequently Asked Questions

What is Bytesagain Quant Trader?

Build and analyze quantitative trading strategies. Input: asset, timeframe, parameters. Output: strategy logic, backtest signals, risk metrics, position sizi... It is an AI Agent Skill for Claude Code / OpenClaw, with 108 downloads so far.

How do I install Bytesagain Quant Trader?

Run "/install bytesagain-quant-trader" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Bytesagain Quant Trader free?

Yes, Bytesagain Quant Trader is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Bytesagain Quant Trader support?

Bytesagain Quant Trader is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Bytesagain Quant Trader?

It is built and maintained by loutai0307-prog (@loutai0307-prog); the current version is v1.0.0.

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