Deriv & Binance Arbitrage Autobot
Budget: $250 – $750 USD
I’m looking for a developer who can deliver a plug-and-play trading robot that lets any user log in with a Deriv API Token or a Binance API Key and start automated arbitrage trading immediately.
Core workflow
• Once authenticated, the bot must continuously scan BTC/USDT, ETH/USDT and BNB/USDT on both platforms, identify actionable price differences between Deriv and Binance, and execute the necessary buy-sell sequence before the spread closes.
• Beyond pure price gaps, the algorithm also has to react to sudden volume spikes and relevant news events that historically move these pairs, so trade triggers come from three simultaneous feeds: price-difference detection, real-time order-book volume analysis, and a lightweight news-headline parser.
• All executions, P&L, and open positions need to be viewable in a simple web dashboard the user reaches after logging in.
Deliverables I will test against
1. Secure authentication module for Deriv tokens and Binance keys (keys stored encrypted, never sent to me).
2. Live arbitrage engine hitting at least one real trade on a test account when a ≥0.2 % spread appears.
3. Volume-spike and news-event filters that can be toggled on/off per user.
4. Web UI showing balances, active positions, historical trades, and a “panic-close” button.
5. Clean, well-commented source code plus deployment guide so I can run it on my own VPS.
Any language or framework is fine—Python with CCXT, Node.js, or similar—but stability and low-latency execution are critical. If you have previous exchange-connect or high-frequency trading experience, please highlight it when you apply.
Core workflow
• Once authenticated, the bot must continuously scan BTC/USDT, ETH/USDT and BNB/USDT on both platforms, identify actionable price differences between Deriv and Binance, and execute the necessary buy-sell sequence before the spread closes.
• Beyond pure price gaps, the algorithm also has to react to sudden volume spikes and relevant news events that historically move these pairs, so trade triggers come from three simultaneous feeds: price-difference detection, real-time order-book volume analysis, and a lightweight news-headline parser.
• All executions, P&L, and open positions need to be viewable in a simple web dashboard the user reaches after logging in.
Deliverables I will test against
1. Secure authentication module for Deriv tokens and Binance keys (keys stored encrypted, never sent to me).
2. Live arbitrage engine hitting at least one real trade on a test account when a ≥0.2 % spread appears.
3. Volume-spike and news-event filters that can be toggled on/off per user.
4. Web UI showing balances, active positions, historical trades, and a “panic-close” button.
5. Clean, well-commented source code plus deployment guide so I can run it on my own VPS.
Any language or framework is fine—Python with CCXT, Node.js, or similar—but stability and low-latency execution are critical. If you have previous exchange-connect or high-frequency trading experience, please highlight it when you apply.
Related categories:
PHP
C Programming
Python
Software Architecture
C++ Programming
Node.js
API
Trading