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mixuechu

Binance MCP Server

by mixuechu

execute_hedge_arbitrage_strategy

Execute automated cryptocurrency arbitrage by exploiting funding rate differentials between trading pairs on Binance to capture profit opportunities.

Instructions

Execute hedge arbitrage based on funding rate.

Args: symbol: The trading pair. quantity: Amount to trade.

Returns: Summary of the arbitrage result.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
symbolYes
quantityYes

Implementation Reference

  • The handler function decorated with @mcp.tool() implements the execute_hedge_arbitrage_strategy. It performs hedge arbitrage by balancing spot and futures positions based on funding rate, using other tools for data and orders.
    @mcp.tool()
    def execute_hedge_arbitrage_strategy(symbol: str, quantity: str) -> Any:
        """
        Execute hedge arbitrage based on funding rate.
    
        Args:
            symbol: The trading pair.
            quantity: Amount to trade.
    
        Returns:
            Summary of the arbitrage result.
        """
        asset = symbol.replace("USDT", "")
        balance_result = mcp.use_tool("get_account_balance", asset)
        try:
            available_balance = float(balance_result.get("balance", 0))
        except:
            available_balance = 0
    
        actual_quantity = min(float(quantity), available_balance) if available_balance > 0 else 0
        if actual_quantity <= 0:
            return {"error": f"Insufficient {asset} balance."}
    
        funding_rate_data = mcp.use_tool("get_funding_rate_history", symbol)
        funding_rate = float(funding_rate_data[0]['fundingRate'])
        spot_price_data = mcp.use_tool("get_symbol_price", symbol)
        spot_price = float(spot_price_data["price"])
    
        if funding_rate > 0:
            mcp.use_tool("place_market_order", symbol, "BUY", actual_quantity)
            place_futures_order(symbol, "SELL", actual_quantity)
        else:
            mcp.use_tool("place_market_order", symbol, "SELL", actual_quantity)
            place_futures_order(symbol, "BUY", actual_quantity)
    
        time.sleep(10)
    
        if funding_rate > 0:
            place_futures_order(symbol, "BUY", actual_quantity)
            mcp.use_tool("place_market_order", symbol, "SELL", actual_quantity)
        else:
            place_futures_order(symbol, "SELL", actual_quantity)
            mcp.use_tool("place_market_order", symbol, "BUY", actual_quantity)
    
        SPOT_FEE = 0.001
        FUTURES_FEE = 0.0002
        fee = (spot_price * actual_quantity * SPOT_FEE * 2) + (spot_price * actual_quantity * FUTURES_FEE * 2)
        profit = abs(funding_rate) * spot_price * actual_quantity
        net_profit = profit - fee
    
        return {
            "net_profit": round(net_profit, 4),
            "fees": round(fee, 4),
            "message": f"Arbitrage executed. Estimated net profit: {net_profit:.4f} USDT"
        }
  • Supporting helper function place_futures_order used by the arbitrage handler to execute futures market orders on Binance.
    def place_futures_order(symbol: str, side: str, quantity: str) -> Any:
        """
        Place a perpetual futures market order.
    
        Args:
            symbol: Futures pair.
            side: BUY or SELL.
            quantity: Amount.
    
        Returns:
            Order placement result.
        """
        url = "https://fapi.binance.com/fapi/v1/order"
        timestamp = int(time.time() * 1000)
        params = {
            "symbol": symbol,
            "side": side,
            "type": "MARKET",
            "quantity": quantity,
            "timestamp": timestamp
        }
        query_string = "&".join([f"{k}={v}" for k, v in params.items()])
        signature = hmac.new(BINANCE_SECRET_KEY.encode(), query_string.encode(), hashlib.sha256).hexdigest()
        params["signature"] = signature
        headers = {"X-MBX-APIKEY": BINANCE_API_KEY}
        response = requests.post(url, headers=headers, params=params)
        return response.json() if response.status_code == 200 else {"error": response.text}

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