TradingView Auto-Trading Bot
Python-based algorithmic trading system for real-time execution
TradingView Bot Dashboard
Centralized panel showing real-time alerts, executed trades, and account performance
Live Alerts
Streaming TradingView signals integrated directly into the bot
Trade Execution
Automated order placement with broker API integration
Performance Metrics
Track win rate, PnL, and strategy efficiency in real time
Multi-Pair Trading Logic
Python backend handling safe order execution across multiple pairs against USDT on Binance
Order Handling
Supports market buy/sell by cash or quantity with precision controls
TradingView Integration
Webhook-based execution triggered by custom TradingView alerts
Risk Management
Built-in guards prevent invalid orders and duplicate positions
The Problem
Manual trading based on TradingView signals was slow and error-prone. Traders often missed optimal entry/exit points, and execution discipline suffered due to delays and emotional decision-making.
- Slow manual order execution missing critical market opportunities
- Emotional trading leading to inconsistent strategy implementation
- Human errors in order sizing and position management
- Inability to trade 24/7 across multiple timeframes and assets
- Lack of systematic risk management and trade documentation
The Solution
I developed a fully automated Python trading bot that connects TradingView alerts with broker/exchange APIs. The system executes trades in milliseconds, eliminates emotional bias, and provides comprehensive risk management.
Key Features
Webhook Listener
FastAPI service instantly receives TradingView alerts with HMAC authentication security.
Multi-Exchange Support
Integrated with Binance, Alpaca, Interactive Brokers APIs for flexible trading.
Strategy-Agnostic
Works with any TradingView PineScript strategy that can send webhook alerts.
Risk Management
Automatic stop-loss, take-profit, position sizing, and daily loss limits.
Trade Logging
Comprehensive trade history stored in PostgreSQL with performance analytics.
Real-time Alerts
Telegram/Discord notifications for trade execution and system events.
Technical Implementation
Technology Stack
Backend & Core
Exchange Integrations
Database & Storage
Infrastructure
Monitoring & Comms
Trading Flow Architecture
- TradingView PineScript strategy generates signals → sends HTTPS webhook alerts
- FastAPI webhook endpoint validates and authenticates incoming alerts
- Order manager processes signals → calculates position size and risk parameters
- Exchange API connector executes market/limit orders with error handling
- WebSocket streams provide real-time market data and order updates
- PostgreSQL database logs all trades, executions, and performance metrics
Risk Management System
- Dynamic position sizing based on account equity and risk tolerance
- Automatic stop-loss and take-profit order placement
- Daily/weekly loss limits with automatic trading suspension
- Maximum drawdown protection and correlation risk controls
- Real-time P&L monitoring with emergency stop mechanisms
Security & Reliability
- HMAC authentication for all TradingView webhook requests
- API key encryption and secure credential storage
- Automatic reconnection logic for WebSocket streams
- Comprehensive error handling and exception recovery
- 24/7 monitoring with automatic restart on failure
Results & Impact
The automated trading bot transformed discretionary trading into systematic execution, providing institutional-grade automation for retail traders.
- Reduced order execution time from minutes to under 200 milliseconds
- Eliminated emotional trading and human execution errors completely
- Enabled 24/7 trading across multiple strategies and asset classes
- Provided complete audit trail and performance analytics for strategy optimization
- Scalable architecture supporting multiple traders and strategies simultaneously
Performance Metrics
The system maintained 99.9% uptime with zero data loss, executing thousands of trades with perfect consistency between backtested strategies and live performance.