Quantitative Trading System Research & Design

Title: Research and Design of Automated Trading Strategies (Stocks, ETFs, Forex, Crypto, Sports Betting Exchanges)


I am looking for experienced quantitative traders, algorithmic traders, data scientists, betting exchange traders, and trading system developers.

This project is NOT initially for coding a trading bot. The first phase is a paid research and strategy review project.

I want proposals covering any of the following:

• Stock market trading systems
• ETF trading systems
• Forex trading systems
• Cryptocurrency trading systems
• Futures trading systems
• Options trading systems
• Sports betting exchange systems (Betfair API preferred)

For each strategy, please provide:

1. Strategy description
2. Markets traded
3. Timeframe (scalping, intraday, swing, long-term)
4. Expected annual return
5. Maximum drawdown
6. Historical backtest period
7. Number of trades
8. Win rate
9. Profit factor
10. Risk management methodology
11. Broker/API used
12. Live trading evidence if available
13. Estimated development cost
14. Estimated maintenance cost

Preference will be given to candidates who can provide:

• Source code ownership options
• Full intellectual property transfer
• Backtesting reports
• Myfxbook, broker statements, or verified performance
• Betfair API experience
• Python, C#, Java, or cloud-based implementations

Important:

I am not interested in guaranteed returns or marketing claims.

Any proposal claiming very high returns without supporting data will be rejected.

I am specifically interested in strategies that can be independently verified through historical testing and paper trading.

Future phases may include:

• Building a full trading platform
• Automated execution
• Risk management dashboard
• Portfolio management
• Betfair trading automation
• Full source code purchase

Please include examples of previous work and screenshots of performance metrics where possible.