Beskar
LANCER
Lancer:
<= 2 resources OR <=3 weeks effort OR <=$3000 USD
Growth:2 - 4 resources AND upto 4 months OR
upto $30000 USD
Enterprise:Everything else
(Development)
Project Description
A crypto-focused client aiming to streamline token trading operations sought a backend solution to automate transactions on the Solana blockchain. With a growing user base and a focus on rapid trade execution, the client required a system for managing token purchases, distribution, and sales. The platform included automation logic, a dashboard for real-time insights, and an alert system for seamless monitoring.
Scope Of Work
The client needed a trading bot system to simplify token management on Solana, targeting scalability and real-time control. The solution involved building a backend that detects token liquidity events, automates trading actions, and distributes tokens across wallets. Admin panel, live dashboard, and notification triggers were included to provide complete operational transparency and control.
Our Solution
The project was executed using Node.js as the backend environment, seamlessly integrated with the Solana blockchain. The system was designed to detect token liquidity events, triggering automated token purchases using multiple wallets. After each successful transaction, the tokens were randomly distributed across 100 wallets to reduce risk exposure and ensure decentralized handling.
To enhance usability and oversight, the solution included a secure admin panel where users could configure token details, manage wallets, and define buy/sell rules. A real-time dashboard displayed live trading activity, wallet status, and transaction logs, offering transparency and immediate feedback. A robust notification system was set up to deliver instant alerts on successful transactions or errors via preferred communication channels.
The backend also supported scheduled trade operations configured by the admin, such as setting specific intervals, fee percentages, and distribution logic. This allowed the client to operate efficiently without constant manual intervention, ensuring faster trade cycles and reduced human error.
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