High-Frequency TradDevelopment of a High-Frequency Mean Reversion Trading Algorithm with Robust Risk Management in Pine Script (TradingView)ing Algorithm Development
Budget: £750 – £1,500 GBP
Project Overview:
We are seeking an experienced Pine Script developer to design, backtest, and deploy a high-return algorithmic trading strategy on TradingView. The goal is to create a script that capitalizes on short-term market inefficiencies using mean reversion principles, while integrating dynamic risk management to optimize returns and minimize drawdowns. The strategy must be fully automated, customizable, and compatible with major financial instruments (e.g., forex, equities, or cryptocurrencies).
Key Objectives
Strategy Logic
-Develop a mean reversion strategy using indicators like Bollinger Bands, RSI, or custom volatility thresholds.
-Identify overbought/oversold conditions with confirmation from volume or momentum oscillators.
-Include entry/exit signals for both long and short positions.
Risk-Reward Optimization
-Dynamic position sizing based on volatility (e.g., ATR-based stop-loss).
-Trailing stop-loss and take-profit levels adjustable by the user.
-Implement a daily loss limit to prevent significant drawdowns.
Backtesting & Validation
-Optimize parameters (lookback periods, thresholds) using historical data across multiple assets.
-Achieve a Sharpe Ratio > 2 and a minimum 89% win rate in backtests (2018–2023).
-Provide clear metrics: ROI, max drawdown, profit factor, and risk-adjusted returns.
User Customization
-Allow users to adjust inputs (timeframes, risk tolerance, asset selection).
-Integrate alerts for real-time trading (email/Telegram/SMS).
Technical Requirements
-Built in Pine Script v5 with TradingView compatibility.
-Efficient code structure to avoid repainting or lag.
-Use TradingView’s built-in functions for execution (e.g., strategy.entry, strategy.exit).
-Include visualizations (e.g., entry/exit markers, equity curve).
-Detailed documentation explaining the strategy’s logic and parameters.
Deliverables
-A fully tested Pine Script strategy with no syntax errors.
-Backtest reports (PDF/CSV) showcasing performance metrics.
-A user guide for configuring inputs and interpreting signals.
-Optional: Video walkthrough of the strategy’s functionality.
Post-delivery support for minor adjustments (1–2 weeks).
Timeline & Budget
Timeline: 10–14 days from project start.
Budget:
300–1,000USD (fixed project-based pricing, dependent on complexity).
Additional Notes
The strategy must comply with TradingView’s execution limitations (e.g., no tick-level data).
Scalability across multiple timeframes (5m to 1H) is a plus.
Freelancers should submit a brief proposal outlining their approach, similar projects, and estimated timeline.
Selection Criteria:
Prior experience developing profitable Pine Script strategies.
Understanding of mean reversion dynamics and risk management.
Quality of backtesting methodology and communication skills.
Confidentiality: A non-disclosure agreement (NDA) may be required.
How to Apply:
Include examples of past Pine Script work, a strategy outline, and your proposed development steps.
We are seeking an experienced Pine Script developer to design, backtest, and deploy a high-return algorithmic trading strategy on TradingView. The goal is to create a script that capitalizes on short-term market inefficiencies using mean reversion principles, while integrating dynamic risk management to optimize returns and minimize drawdowns. The strategy must be fully automated, customizable, and compatible with major financial instruments (e.g., forex, equities, or cryptocurrencies).
Key Objectives
Strategy Logic
-Develop a mean reversion strategy using indicators like Bollinger Bands, RSI, or custom volatility thresholds.
-Identify overbought/oversold conditions with confirmation from volume or momentum oscillators.
-Include entry/exit signals for both long and short positions.
Risk-Reward Optimization
-Dynamic position sizing based on volatility (e.g., ATR-based stop-loss).
-Trailing stop-loss and take-profit levels adjustable by the user.
-Implement a daily loss limit to prevent significant drawdowns.
Backtesting & Validation
-Optimize parameters (lookback periods, thresholds) using historical data across multiple assets.
-Achieve a Sharpe Ratio > 2 and a minimum 89% win rate in backtests (2018–2023).
-Provide clear metrics: ROI, max drawdown, profit factor, and risk-adjusted returns.
User Customization
-Allow users to adjust inputs (timeframes, risk tolerance, asset selection).
-Integrate alerts for real-time trading (email/Telegram/SMS).
Technical Requirements
-Built in Pine Script v5 with TradingView compatibility.
-Efficient code structure to avoid repainting or lag.
-Use TradingView’s built-in functions for execution (e.g., strategy.entry, strategy.exit).
-Include visualizations (e.g., entry/exit markers, equity curve).
-Detailed documentation explaining the strategy’s logic and parameters.
Deliverables
-A fully tested Pine Script strategy with no syntax errors.
-Backtest reports (PDF/CSV) showcasing performance metrics.
-A user guide for configuring inputs and interpreting signals.
-Optional: Video walkthrough of the strategy’s functionality.
Post-delivery support for minor adjustments (1–2 weeks).
Timeline & Budget
Timeline: 10–14 days from project start.
Budget:
300–1,000USD (fixed project-based pricing, dependent on complexity).
Additional Notes
The strategy must comply with TradingView’s execution limitations (e.g., no tick-level data).
Scalability across multiple timeframes (5m to 1H) is a plus.
Freelancers should submit a brief proposal outlining their approach, similar projects, and estimated timeline.
Selection Criteria:
Prior experience developing profitable Pine Script strategies.
Understanding of mean reversion dynamics and risk management.
Quality of backtesting methodology and communication skills.
Confidentiality: A non-disclosure agreement (NDA) may be required.
How to Apply:
Include examples of past Pine Script work, a strategy outline, and your proposed development steps.