Finance Trading

What This Skill Does

The Finance Trading skill by brioche-bit is a specialized quantitative analysis tool designed for the OpenClaw AI agent to facilitate automated paper trading of the BTC/USDT pair. By leveraging technical analysis indicators such as Exponential Moving Averages (EMA 20 and 50) and the Relative Strength Index (RSI), the skill systematically evaluates market momentum across 1-hour and 15-minute timeframes. It acts as an autonomous paper trading assistant, enforcing strict risk management protocols including a 5% capital allocation limit, a 2% stop-loss, and a 6% take-profit threshold. Furthermore, the skill maintains a consistent audit trail by logging every transaction into a dedicated 'trading_log.md' file and generating automated daily performance reports at 18:00, covering critical metrics such as Profit and Loss (PnL), win rates, and general market sentiment.

Installation

To integrate this skill into your OpenClaw environment, execute the following command in your terminal:

clawhub install openclaw/skills/skills/brioche-bit/finance-trading

Ensure that your environment has the necessary permissions to write files locally, as the skill requires access to the system to maintain the trading journal and generate logs.

Use Cases

This skill is ideal for quantitative traders, developers testing algorithmic trading strategies, and cryptocurrency enthusiasts interested in automated technical analysis without risking real capital. It is particularly useful for backtesting simple trend-following strategies or for users who want a structured, disciplined approach to monitoring BTC/USDT market movements. Because it operates exclusively in 'paper trading' mode, it serves as a safe sandbox for strategy optimization before moving to live execution platforms.

Example Prompts

1. "Check the current market status for BTC/USDT and tell me if the strategy suggests a buy or sell based on the current EMA crossovers."
2. "Generate the daily performance report for the finance-trading skill and show me the current win rate and PnL from the trading_log.md file."
3. "Start the continuous 15-minute monitoring loop for BTC/USDT and apply the default risk management settings."

Tips & Limitations

This skill is built for educational and paper trading purposes only; it does not connect to live exchange APIs for real money execution. While the indicators (EMA/RSI) are standard, market volatility can produce 'whipsaws' where multiple false signals trigger in rapid succession. Always review the trading_log.md frequently to identify if the strategy's current parameters need adjustment based on changing market conditions. Ensure your system time is accurately synced to generate the daily report precisely at 18:00.