Multi-pair support

Multi-pair support allows a market-making bot to trade multiple trading pairs simultaneously across different exchanges. This feature enhances the bot's ability to diversify its trading strategies, manage risk more effectively, and capitalize on various market opportunities.

▎Key Components of Multi-Pair Support

1. Configuration: Define a list of trading pairs that the bot will manage. Each pair can have its own strategy and parameters.

2. Price Fetching: The bot be able to fetch prices for multiple pairs from different exchanges.

3. Order Management: Handle buy and sell orders for each pair independently.

4. Execution Logic: Implement the logic to determine when to place orders based on the price of each pair.

5. Monitoring: Continuously monitor the performance of each pair and make adjustments as necessary.

▎Example Code

Below is an example implementation of a market-making bot with multi-pair support using Python and the ccxt library.

▎Prerequisites

• Ensure you have the ccxt library installed:

  pip install ccxt

▎Sample Code

import ccxt import time

class MultiPairMarketMakingBot: def init(self, exchanges, trading_pairs, spread=0.01): self.exchanges = {name: ccxt.getattribute(name)() for name in exchanges} self.trading_pairs = trading_pairs self.spread = spread

def fetch_prices(self):
    prices = {}
    for name, exchange in self.exchanges.items():
        prices[name] = {}
        for pair in self.trading_pairs:
            try:
                ticker = exchange.fetch_ticker(pair)
                prices[name][pair] = ticker['last']
            except Exception as e:
                print(f"Error fetching price from {name} for {pair}: {e}")
    return prices

def place_orders(self, prices):
    for name, pairs in prices.items():
        exchange = self.exchanges[name]
        for pair, price in pairs.items():
            try:
                # Calculate buy and sell prices based on the spread
                buy_price = price * (1 - self.spread)
                sell_price = price * (1 + self.spread)

                # Place buy and sell orders
                exchange.create_limit_buy_order(pair, 1, buy_price)
                exchange.create_limit_sell_order(pair, 1, sell_price)
                print(f"Placed orders on {name} for {pair}: Buy at {buy_price}, Sell at {sell_price}")

            except Exception as e:
                print(f"Error placing orders on {name} for {pair}: {e}")

def run(self):
    while True:
        prices = self.fetch_prices()
        if prices:
            self.place_orders(prices)
        time.sleep(10)  # Wait for 10 seconds before the next iteration

if name == "main": exchanges = ['binance', 'kraken'] # List of exchanges to support trading_pairs = ['BTC/USDT', 'ETH/USDT', 'LTC/USDT'] # List of trading pairs bot = MultiPairMarketMakingBot(exchanges, trading_pairs) bot.run()

▎Explanation of the Code

1. Initialization: The bot initializes with a list of exchanges and trading pairs. The spread can be adjusted as needed.

2. Fetching Prices: The fetch_prices method retrieves the latest prices for all specified trading pairs from each exchange.

3. Placing Orders: The place_orders method calculates buy and sell prices based on the fetched prices for each pair and places limit orders accordingly.

4. Running the Bot: The run method continuously fetches prices and places orders every 10 seconds.

▎Considerations

• Error Handling: Implement robust error handling to manage issues like API rate limits and connection problems.

• Risk Management: Consider implementing risk management strategies tailored to each trading pair.

• Dynamic Spread Adjustment: You could enhance the bot by adjusting the spread dynamically based on market conditions.

• Performance Monitoring: Include logging and monitoring features to track the performance of trades across multiple pairs.