The Solana Copy Trading Bot is an automated trading system designed for the Solana blockchain, enabling users to replicate the trading strategies of expert traders on decentralized exchanges (DEXs) like Serum, Orca, and Raydium. Built to leverage Solana’s high-throughput, low-latency architecture, the bot facilitates real-time trade execution, liquidity pool interactions, and cross-chain compatibility via bridges like Wormhole. The project transitioned from a Proof of Concept (PoC) to a production-ready system, delivering secure, scalable, and user-friendly copy trading functionality. My role encompassed end-to-end development, including smart contract programming, front-end UI/UX, back-end infrastructure, DevOps, and security audits, aligning with the needs of modern DeFi platforms like Tirios.
Key Features
Copy Trading Mechanism: Automatically mirrors trades of selected expert traders, replicating their buy/sell orders, position sizing, and risk management strategies on Solana-based DEXs.
Liquidity Pool Integration: Interacts with AMM-based liquidity pools (e.g., Orca, Raydium) to execute trades with minimal slippage and optimized pricing.
Wallet Connectivity: Supports Solana-compatible wallets (e.g., Phantom, Sollet) via Solana’s Web3.js library, ensuring secure user authentication and transaction signing.
Real-Time Market Data: Aggregates on-chain and off-chain data (e.g., price feeds, order book depth) for accurate trade replication and decision-making.
Cross-Chain Support: Integrates with Wormhole for cross-chain token swaps, enabling interaction with assets from Ethereum and other chains.
User-Friendly UI/UX: Provides a React-based dashboard for users to select traders, monitor performance, and adjust trading parameters.
Security and Auditing: Implements secure Rust-based programs (Solana’s equivalent of smart contracts) with audits to prevent vulnerabilities like flash loan attacks or reentrancy.
Scalable Infrastructure: Deployed on cloud infrastructure with high availability, using Docker and Kubernetes for robust performance.…The Solana Copy Trading Bot is an automated trading system designed for the Solana blockchain, enabling users to replicate the trading strategies of expert traders on decentralized exchanges (DEXs) like Serum, Orca, and Raydium. Built to leverage Solana’s high-throughput, low-latency architecture, the bot facilitates real-time trade execution, liquidity pool interactions, and cross-chain compatibility via bridges like Wormhole. The project transitioned from a Proof of Concept (PoC) to a production-ready system, delivering secure, scalable, and user-friendly copy trading functionality. My role encompassed end-to-end development, including smart contract programming, front-end UI/UX, back-end infrastructure, DevOps, and security audits, aligning with the needs of modern DeFi platforms like Tirios.
Key Features
Copy Trading Mechanism: Automatically mirrors trades of selected expert traders, replicating their buy/sell orders, position sizing, and risk management strategies on Solana-based DEXs.
Liquidity Pool Integration: Interacts with AMM-based liquidity pools (e.g., Orca, Raydium) to execute trades with minimal slippage and optimized pricing.
Wallet Connectivity: Supports Solana-compatible wallets (e.g., Phantom, Sollet) via Solana’s Web3.js library, ensuring secure user authentication and transaction signing.
Real-Time Market Data: Aggregates on-chain and off-chain data (e.g., price feeds, order book depth) for accurate trade replication and decision-making.
Cross-Chain Support: Integrates with Wormhole for cross-chain token swaps, enabling interaction with assets from Ethereum and other chains.
User-Friendly UI/UX: Provides a React-based dashboard for users to select traders, monitor performance, and adjust trading parameters.
Security and Auditing: Implements secure Rust-based programs (Solana’s equivalent of smart contracts) with audits to prevent vulnerabilities like flash loan attacks or reentrancy.
Scalable Infrastructure: Deployed on cloud infrastructure with high availability, using Docker and Kubernetes for robust performance.WW…