FatherSonCross-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.
/api/v3/ticker/bookTicker and Kraken’s public REST endpoints.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
2. Real-Time Monitoring Loop
3. Risk & Execution Safeguards
This MEXC-Kraken framework translates directly to prediction markets:
The modular design makes it easy to plug in Gamma API, shadow fill simulation, or Kelly sizing.
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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