Crypto Scalping Bot Development
Budget: $250 – $750 USD
I want an automated trading bot that executes high-frequency scalping on my MetaMask-connected account. The bot will watch price movements on the tokens I actively hold—USDT, USD Coin, XRP, Bitcoin, and Ethereum—entering micro trades, capturing small spreads, and closing each position within minutes once the predefined profit target or stop-loss is hit.
Key expectations
• Direct integration with MetaMask so orders route through the wallet without manual signing once permission is granted.
• User-editable settings for position size, profit take, stop-loss, maximum concurrent trades, and gas/slippage limits.
• Real-time monitoring dashboard (CLI or lightweight UI) that logs every fill, PnL, and cumulative performance.
• Safety checks: anti-sandwich / frontrun logic, cooldown if volatility spikes beyond a threshold, and instant halt if daily loss exceeds a set percentage.
• Clean, well-commented source code plus a quick start guide that lets me install dependencies, plug in my wallet, and run the bot on Windows or Linux.
Acceptance criteria
1. After back-testing with 30 days of tick data, the strategy must demonstrate positive net PnL inclusive of fees.
2. Live paper-trading session shows at least ten completed cycles with correct entry/exit events and accurate logging.
3. Source code passes a brief code review for readability and modularity.
Deliver the project in a private repo or zip file, along with the back-test report and step-by-step setup notes. Once everything runs smoothly on my end, we can discuss ongoing optimisation work.
Key expectations
• Direct integration with MetaMask so orders route through the wallet without manual signing once permission is granted.
• User-editable settings for position size, profit take, stop-loss, maximum concurrent trades, and gas/slippage limits.
• Real-time monitoring dashboard (CLI or lightweight UI) that logs every fill, PnL, and cumulative performance.
• Safety checks: anti-sandwich / frontrun logic, cooldown if volatility spikes beyond a threshold, and instant halt if daily loss exceeds a set percentage.
• Clean, well-commented source code plus a quick start guide that lets me install dependencies, plug in my wallet, and run the bot on Windows or Linux.
Acceptance criteria
1. After back-testing with 30 days of tick data, the strategy must demonstrate positive net PnL inclusive of fees.
2. Live paper-trading session shows at least ten completed cycles with correct entry/exit events and accurate logging.
3. Source code passes a brief code review for readability and modularity.
Deliver the project in a private repo or zip file, along with the back-test report and step-by-step setup notes. Once everything runs smoothly on my end, we can discuss ongoing optimisation work.
Related categories:
PHP
C Programming
Software Architecture
Metatrader
Trading
Automation
Cryptocurrency
Bot Development