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Added AI documentation
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// 03-cross-exchange-arbitrage-skeleton.cs
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//
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// Demonstrates: skeleton pattern for a cross-exchange spot arbitrage scanner.
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// This is a structural example — production arbitrage requires also:
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// - real-time WebSocket feeds (not REST polling)
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// - orderbook depth analysis (not just ticker)
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// - slippage / fees modeling
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// - withdrawal availability and timing
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// - inventory management on both sides
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// Use this as a starting structure, not a deployable bot.
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//
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// Setup:
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// dotnet add package Binance.Net
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// dotnet add package JK.OKX.Net
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// dotnet add package Bybit.Net
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using Binance.Net.Clients;
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using OKX.Net.Clients;
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using Bybit.Net.Clients;
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using CryptoExchange.Net.SharedApis;
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// ---- CONFIGURATION ----
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// Symbols to monitor and minimum profit threshold (gross, before fees)
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var symbols = new[]
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{
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new SharedSymbol(TradingMode.Spot, "BTC", "USDT"),
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new SharedSymbol(TradingMode.Spot, "ETH", "USDT"),
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new SharedSymbol(TradingMode.Spot, "SOL", "USDT"),
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};
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const decimal minSpreadBps = 30; // 0.30% — must exceed total fees on both legs
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// ---- USE BOOK TICKER FOR TIGHTER SPREADS ----
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// IBookTickerRestClient gives best bid/ask, narrower than 24h ticker.
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// For real arbitrage you'd use IOrderBookSocketClient for depth + push updates.
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var exchanges = new List<IBookTickerRestClient>
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{
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new BinanceRestClient().SpotApi.SharedClient,
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new OKXRestClient().UnifiedApi.SharedClient,
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new BybitRestClient().V5Api.SharedClient,
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};
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// ---- MAIN LOOP (simplified: REST polling, 5-second intervals) ----
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// In production: replace with concurrent WebSocket subscriptions.
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while (true)
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{
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foreach (var symbol in symbols)
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{
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await ScanSymbolAsync(symbol, exchanges);
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}
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Console.WriteLine($"--- waiting 5s --- ({DateTime.UtcNow:HH:mm:ss})");
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await Task.Delay(TimeSpan.FromSeconds(5));
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}
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// ---- SCAN ONE SYMBOL ACROSS ALL EXCHANGES ----
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async Task ScanSymbolAsync(SharedSymbol symbol, List<IBookTickerRestClient> clients)
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{
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// Fetch best bid/ask from every exchange in parallel
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var tasks = clients.Select(c => GetBookAsync(c, symbol)).ToArray();
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var quotes = (await Task.WhenAll(tasks)).Where(q => q != null).Cast<Quote>().ToList();
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if (quotes.Count < 2) return;
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// Find best buy venue (lowest ask) and best sell venue (highest bid)
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var bestBuy = quotes.OrderBy(q => q.AskPrice).First();
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var bestSell = quotes.OrderByDescending(q => q.BidPrice).First();
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if (bestBuy.Exchange == bestSell.Exchange) return; // no cross-venue arbitrage
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// Spread in basis points
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var spreadBps = (bestSell.BidPrice - bestBuy.AskPrice) / bestBuy.AskPrice * 10_000;
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if (spreadBps >= minSpreadBps)
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{
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Console.WriteLine(
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$"[{symbol.BaseAsset}/{symbol.QuoteAsset}] BUY {bestBuy.Exchange}@{bestBuy.AskPrice} " +
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$"SELL {bestSell.Exchange}@{bestSell.BidPrice} " +
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$"spread={spreadBps:F1}bps");
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// Production hooks would go here:
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// - check available inventory on both venues
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// - simulate execution against orderbook depth
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// - compute net P&L after fees
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// - if profitable, execute via ISpotOrderRestClient on both venues
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}
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}
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async Task<Quote?> GetBookAsync(IBookTickerRestClient client, SharedSymbol symbol)
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{
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var result = await client.GetBookTickerAsync(new GetBookTickerRequest(symbol));
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if (!result.Success || result.Data?.BestBidPrice == null || result.Data.BestAskPrice == null)
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return null;
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return new Quote(
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Exchange: client.Exchange,
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BidPrice: result.Data.BestBidPrice.Value,
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AskPrice: result.Data.BestAskPrice.Value);
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}
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record Quote(string Exchange, decimal BidPrice, decimal AskPrice);
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// Production checklist (NOT in this skeleton):
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// ✓ Use WebSocket book tickers (IBookTickerSocketClient) instead of REST polling
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// ✓ Track full orderbook depth (IOrderBookSocketClient) to estimate fill price for size > top-of-book
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// ✓ Model fees per exchange per pair (taker vs maker, BNB discount, etc.)
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// ✓ Track inventory on both venues — can't sell what you don't have
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// ✓ Account for withdrawal delays if rebalancing inventory
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// ✓ Set hard P&L stops, position limits, maximum exposure per pair
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// ✓ Use ISpotOrderRestClient with reduce-only / IOC order types for atomic execution
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// ✓ Monitor connection health and have failover logic
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// ✓ Log everything — arbitrage P&L analysis requires complete audit trails
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