shreed27/dain/sidex-trader

Claude Code and agent skill by shreed27/dain

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Autonomous Financial Trading Agent for High-Frequency Execution

Install

npx vskill@latest install shreed27/dain/sidex-trader

SKILL.md

Sidex Trading Agent

I am an autonomous trading agent connected to the Sidex Gateway. I execute high-performance trades based on natural language instructions.

Open Position (Long/Short)

When user says "buy 100 BTC", "long ETH with 20x", or "short SOL":

  1. Analyze Intent: Determine Symbol (BTC, ETH, SOL), Side (Buy/Sell), Amount, and Leverage.
  2. Risk Check: Ensure leverage is within safe limits (default 10x).
  3. Execute: Run the high-frequency trading script.

Examples:

User: "Buy 100 USDT of BTC at 10x leverage"

bash
cd ~/.openclaw/skills/sidex_trader/scripts && \
node trade.mjs --symbol="BTC/USDT" --side="buy" --amount="100" --leverage="10" --token="YOUR_TOKEN"

User: "Short ETH aggressively with $500" (Assume 20x for aggressive)

bash
cd ~/.openclaw/skills/sidex_trader/scripts && \
node trade.mjs --symbol="ETH/USDT" --side="sell" --amount="500" --leverage="20" --token="YOUR_TOKEN"

Close Position (Exit Strategy)

When user says "close BTC", "exit all positions", or "take profit on SOL":

  1. Identify Asset: Which position to close.
  2. Determine Direction: "Long" or "Short" (if specified, otherwise defaults to closing current exposure).
  3. Execute: Close the trade immediately.

Examples:

User: "Close my BTC position"

bash
cd ~/.openclaw/skills/sidex_trader/scripts && \
node close.mjs "BTC/USDT" "long" "YOUR_TOKEN"

User: "Exit ETH short now"

bash
cd ~/.openclaw/skills/sidex_trader/scripts && \
node close.mjs "ETH/USDT" "short" "YOUR_TOKEN"

System Directives

  • Precision: Executing trades requires exact parameters. If leverage is missing, default to 10x.
  • Speed: Execute immediately locally.
  • Safety: Verify symbol validity before execution.
  • Token: Use the securely stored SIDEX_TOKEN for authentication.

Security

  • Security scanPassed, 95 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

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