TradingView Indicator and Automated Trading Bot Development
Budget: $250 – $750 USD
I'm looking to develop a TradingView indicator coupled with a trading bot that executes commands based on the indicator's signals. My manual trading has been successful, but automation via Pine Script results in poor backtest outcomes.
Scope of work
- Develop a Pine Script v6 indicator for TradingView with robust backtesting showing 25-50% annual returns over 150-450 trades. - Create a Python trading bot using ccxt for multi-exchange operation with webhook integration. - Ensure the bot supports Bybit, Binance, OKX, and others, with configurable trading pairs and risk management settings. - Optimize the indicator by refining multi-timeframe levels, ATR positioning, and volume analysis to balance between price lag and premature entries. - Implement advanced trading strategies like rejection and breakout trades using detailed analysis metrics like OI delta and bid/ask analysis. - Provide historical backtest validation of the system across multiple years and trading pairs.
Additional information
The core indicator logic involves multi-timeframe levels, ATR positioning, volume analysis, and more. Manual trading is profitable, but automation needs refinement for optimal backtesting results. Combine these capabilities to ensure the successful development of a trading system.
Scope of work
- Develop a Pine Script v6 indicator for TradingView with robust backtesting showing 25-50% annual returns over 150-450 trades. - Create a Python trading bot using ccxt for multi-exchange operation with webhook integration. - Ensure the bot supports Bybit, Binance, OKX, and others, with configurable trading pairs and risk management settings. - Optimize the indicator by refining multi-timeframe levels, ATR positioning, and volume analysis to balance between price lag and premature entries. - Implement advanced trading strategies like rejection and breakout trades using detailed analysis metrics like OI delta and bid/ask analysis. - Provide historical backtest validation of the system across multiple years and trading pairs.
Additional information
The core indicator logic involves multi-timeframe levels, ATR positioning, volume analysis, and more. Manual trading is profitable, but automation needs refinement for optimal backtesting results. Combine these capabilities to ensure the successful development of a trading system.
Related categories:
PHP
Python
Software Architecture
C++ Programming
Risk Management
Trading
Backtesting