Crypto Futures Trading Bot Development
Budget: ₹12,500 – ₹37,500 INR
I am looking for an experienced Python developer with strong financial markets and API integration experience to build a fully automated crypto futures trading bot based on a proven institutional-grade strategy.
Scope of Work:
Exchange Integration
Full integration with Delta Exchange REST & WebSocket API
Support for order placement, position management, balance tracking, and live price feed.
Strategy Implementation
Multi-timeframe trend analysis (EMA, ADX, RSI, OBV)
Volume and momentum breakout detection
Dynamic Stop Loss, Target, and Trailing Stop management
AI Model integration for trade validation
NLP-based sentiment filter (Twitter, Reddit, News)
Market-wide sentiment and order book analysis
Risk Management
Configurable capital allocation per trade
Daily/Weekly loss caps
Auto-lockout on high-risk market events
GUI Dashboard
Tkinter or PyQt5-based simple desktop app
Real-time signal monitoring and trade logs
API key management interface
Start/Stop trading button
Additional Features
Trade logging to local files
Adjustable parameters (leverage, capital, risk limits)
Live P&L reporting
Requirements:
Proven experience in Python trading bots development
Strong knowledge of REST & WebSocket API integration
Experience with AI/ML models and NLP (TensorFlow, XGBoost, VADER, etc.)
Ability to build a stable and production-ready GUI
Experience with Binance, Bybit, or Delta Exchange API is a plus
Deliverables:
Full Python source code
Complete installation instructions
EXE package (optional, if feasible)
Post-delivery support for setup & testing
Scope of Work:
Exchange Integration
Full integration with Delta Exchange REST & WebSocket API
Support for order placement, position management, balance tracking, and live price feed.
Strategy Implementation
Multi-timeframe trend analysis (EMA, ADX, RSI, OBV)
Volume and momentum breakout detection
Dynamic Stop Loss, Target, and Trailing Stop management
AI Model integration for trade validation
NLP-based sentiment filter (Twitter, Reddit, News)
Market-wide sentiment and order book analysis
Risk Management
Configurable capital allocation per trade
Daily/Weekly loss caps
Auto-lockout on high-risk market events
GUI Dashboard
Tkinter or PyQt5-based simple desktop app
Real-time signal monitoring and trade logs
API key management interface
Start/Stop trading button
Additional Features
Trade logging to local files
Adjustable parameters (leverage, capital, risk limits)
Live P&L reporting
Requirements:
Proven experience in Python trading bots development
Strong knowledge of REST & WebSocket API integration
Experience with AI/ML models and NLP (TensorFlow, XGBoost, VADER, etc.)
Ability to build a stable and production-ready GUI
Experience with Binance, Bybit, or Delta Exchange API is a plus
Deliverables:
Full Python source code
Complete installation instructions
EXE package (optional, if feasible)
Post-delivery support for setup & testing