(Suitable for collections) GitHub open-source arbitrage bot summary The current volatile market is suitable for arbitrage. The robot is on. 1. ArbiBot: Cross-Exchange Arbitrage Bot Introduction: This is a high-performance cross-exchange arbitrage bot specifically designed to identify and exploit price differences between multiple cryptocurrency exchanges. Peculiarity: Written in Python and based on the CCXT library (API that supports multiple exchanges). Focus on real-time price monitoring and fast execution. It is suitable for scenarios that require low-latency transactions. Applicability: Suitable for users with a certain programming foundation, and can be configured to connect to the API of multiple exchanges. It is necessary to pay attention to the impact of transaction fees and network latency on the arbitrage effect. Comments: The project focuses on the cryptocurrency market and has a clear code structure, but requires users to configure the exchange API and handle money management by themselves. It is recommended to check when the code was last committed to ensure that it is maintained. 2. Crypto Arbitrage Framework Introduction: A cryptocurrency arbitrage framework implemented using CCXT and CPLEX that supports multi-exchange monitoring and multi-lateral arbitrage paths. Peculiarity: Support complex arbitrage strategies such as triangular arbitrage. Use CPLEX to optimize arbitrage paths, suitable for scenarios that require high computing efficiency. Flexible configuration options are available to scale to different exchanges. Applicability: Suitable for users with a background in mathematical modeling or optimization, as the use of CPLEX may require a commercial license or alternative open-source optimization tools. Rating: Powerful in theory, but complex to implement, suitable for advanced users. You'll need to check if the exchange you plan to use is supported. 3. Barbotine Arbitrage Bot Introduction: A CCXT-based cross-exchange arbitrage bot, written entirely in Python, without the need to transfer funds between exchanges. Peculiarity: Focus on arbitrage on centralized exchanges (CEXs). It provides a simple configuration method and is easy to get started. Emphasizing the need for cross-exchange transfers, reducing risk. Applicability: Suitable for beginners or users who want to deploy arbitrage strategies quickly. The code is relatively lightweight, making it suitable for small arbitrage experiments. Comments: The code is simple and easy to understand, making it suitable for rapid prototyping, but may lack advanced features such as dynamic path optimization. 4. Solana Arbitrage Bot Introduction: A decentralized exchange (DEX) arbitrage bot for the Solana blockchain, developed using Rust and Anchor frameworks, covering DEXs such as Raydium, Orca, and Meteora. Peculiarity: Focus on high-speed transactions in the Solana ecosystem. Take advantage of Solana's low transaction fees and high throughput. Suitable for on-chain arbitrage scenarios. Applicability: Suitable for users who are familiar with the Solana ecosystem and have experience in Rust programming. A Solana node and wallet need to be configured. Evaluation: Focus on DEX arbitrage, the code is highly targeted, but the scope of application is narrow, limited to the Solana ecosystem. 5. Triangular Arbitrage Bot Introduction: A CCXT-based triangular arbitrage robot that scans for triangular arbitrage opportunities across multiple exchanges. Peculiarity: Focus on triangular arbitrage within the same exchange (e.g. BTC/ETH, ETH/USDT, BTC/USDT). Written in Python and easy to modify. Provides real-time market scanning capabilities. Applicability: Suitable for users interested in triangular arbitrage strategy, the code logic is simple, suitable for learning and experimentation. Rating: The code is suitable for beginners to learn the principle of triangular arbitrage, but the actual profit needs to consider the transaction fees and market depth.