28/12/2024
Over the past few days, I worked on an exciting project for a client: building a trading bot that integrates with TradingView alerts to execute trades on the Arbitrum network. The goal was to automate token swaps (USDC to WETH) based on market conditions and make the trading process seamless and efficient.
Here’s how I tackled it:
a. Tools & Technologies:
I used Python for the backend, Flask to handle TradingView webhook alerts, and Web3.py to interact with the blockchain. The bot uses the Uniswap Router on the Arbitrum network for token swaps, and everything is deployed on Render for scalability.
b. How It Works:
The bot listens for TradingView alerts, processes them, and interacts with smart contracts to perform swaps. It’s automated, fast, and designed to handle real-time market changes.
c. Challenges & Solutions:
Debugging deployment issues and ensuring secure handling of private keys were some of the hurdles. I also had to fine-tune the bot to ensure it handles errors like insufficient funds or network delays gracefully.
d. Future Improvements:
I’m already planning upgrades, including stop-loss and take-profit features, multi-chain support, and even an AI-powered analytics module for better trading strategies.
I’m proud of how this bot has made trading easier and more efficient for my client, and I’m excited about what’s next!
If you’re interested in automation, blockchain, or trading solutions, let’s connect—I’d love to chat!