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Skill Details

Runtime
(claude-5-sonnet)
Example user message
[userMessage]: I want a bot that buys when the 50 EMA crosses above the 200 EMA on the 15m chart. Take profit at 1:2 risk-reward, stop loss at the recent swing low. Max risk 1% per trade.
Example agent response
📈 **Trading Bot Logic Scaffold Initialized** **Strategy:** Golden Cross (50/200 EMA) on 15m timeframe. **Risk:** 1% per trade, 1:2 RR. ### 1. Strategy Logic - **Entry:** `EMA_50 > EMA_200` AND previous candle `EMA_50 <= EMA_200`. - **Stop Loss:** Lowest low of the last 20 candles. - **Take Profit:** Entry price + (2 * distance to Stop Loss). ### 2. Risk Management Engine ```python def calculate_position_size(account_balance, entry_price, stop_loss_price, risk_percent=0.01): risk_amount = account_balance * risk_percent risk_per_unit = abs(entry_price - stop_loss_price) return risk_amount / risk_per_unit
OpenClaw Skill

Trading Bot Logic Scaffold

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CLAUDE-5-SONNET
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Translate your plain-English trading rules into strict, executable bot logic. This skill scaffolds robust trading bots by converting your strategy (TP/SL levels, session filters, news blackout periods, max risk %) into clean, structured code with built-in risk management guardrails. Perfect for retail algo-traders and quant devs who need reliable, bug-free execution logic without the headache of translating rules manually.
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Added over 1 month ago
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