MEXC ↔ Kraken Crypto Arbitrage Bot: Production-Grade Python Implementation

MEXC ↔ Kraken Crypto Arbitrage Bot: Production-Grade Python ImplementationFatherSon

Cross-exchange spot arbitrage remains one of the most reliable, low-risk strategies in crypto. This...

Cross-exchange spot arbitrage remains one of the most reliable, low-risk strategies in crypto. This Python-based arbitrage bot between MEXC and Kraken demonstrates a clean, modular architecture that can be easily extended to Polymarket trading bots or multi-venue systems.

Core Architecture & Features

  • Real-time Price Fetching: Pulls best bid/ask via MEXC’s /api/v3/ticker/bookTicker and Kraken’s public REST endpoints.
  • Opportunity Detection: Calculates net profit after fees, slippage, and transfer costs.
  • Execution Engine: Automated buy-low / sell-high with safety checks.
  • Paper Trading Mode: Safe testing without real capital.
  • Modular & Secure: Environment variables for API keys, comprehensive logging, runs on macOS or Raspberry Pi (Python 3.9+).

Key Technical Components

1. Opportunity Calculator

def calculate_arbitrage_opportunity(mexc_bid, mexc_ask, kraken_bid, kraken_ask, 
                                    mexc_fee=0.001, kraken_fee=0.0026, 
                                    min_profit_pct=0.003):

    # Buy on cheaper exchange, sell on expensive
    buy_price = min(mexc_ask, kraken_ask)
    sell_price = max(mexc_bid, kraken_bid)

    gross_profit = (sell_price - buy_price) / buy_price
    net_profit = gross_profit - (mexc_fee + kraken_fee)

    if net_profit >= min_profit_pct:
        return {
            "direction": "MEXC->Kraken" if mexc_ask < kraken_bid else "Kraken->MEXC",
            "net_profit_pct": net_profit * 100,
            "size": calculate_position_size(net_profit)
        }
    return None
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2. Real-Time Monitoring Loop

  • REST polling (high reliability) + optional WebSocket streams for sub-second updates.
  • Filters low-liquidity pairs and respects rate limits.
  • Includes withdrawal/transfer cost estimation for true net edge.

3. Risk & Execution Safeguards

  • Minimum profit threshold (typically 0.3–0.8% net).
  • Max position size per opportunity.
  • Order book depth validation before execution.
  • Graceful error handling and circuit breakers.

Extending to Polymarket Trading Bots

This MEXC-Kraken framework translates directly to prediction markets:

  • Replace spot prices with Polymarket YES/NO implied probabilities.
  • Add CEX oracle feeds (Binance) for temporal/buzzer arbitrage.
  • Integrate with Polymarket CLOB via EIP-712 signed intents.
  • Combine with binary hedging (YES+NO < $1.00) or Negative Risk multi-outcome logic.

The modular design makes it easy to plug in Gamma API, shadow fill simulation, or Kelly sizing.

Why This Bot Design Wins in 2026

  • Low latency + high reliability hybrid (REST + WS).
  • Paper trading for safe iteration.
  • Clear separation of concerns (fetcher, detector, executor, logger).
  • Easy to containerize and run 24/7 on cheap hardware.

Whether you’re arbitraging spot pairs between MEXC and Kraken or building a full-stack Polymarket trading bot with cross-platform and latency edges, this clean Python structure serves as an excellent production foundation.

If you have more questions, please feel free to contact me at any time: https://t.me/FatherSon97


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