I am seeking professional assistance to develop and refine an algorithmic trading strategy using QuantConnect. The goal is to enhance my preliminary algorithm and ensure successful integration with Interactive Brokers for live trading. The strategy focuses on trading sessions during regular hours with specific stock price ranges, volume requirements, and detection criteria. I need help with coding, backtesting, and implementing trailing stops.

Here is an overview of my strategy:

• Trading Sessions: Regular Hours (9:30 AM – 4:00 PM EST)
• Stock Price Range: $0.2 – $20
• Volume Requirements:
o Regular Hours : up 1M
• Detection Criteria:
o Change % Prev-Close : up 5%
o Change % 1 Minute : up 1%
• Automated Trading Rules:
o Buy $500 or $5000 worth of stocks if price : up $10
o Buy max 500 shares if price : less $10
o Daily max investment: $20,000 spread over at least 4 stocks
• Trailing Stops: 5% below the purchase price

Hourly Range: $100.00-$150.00

Posted On: July 17, 2024 10:18 UTC
Category: Scripting & Automation
Skills:Financial Modeling, Financial Analysis, Investment Research, Cryptocurrency, Python, Algorithm Development, Quantitative Research, Forex Trading, Project Risk Management, Quantitative Analysis, Quantitative Finance, Derivatives Trading, Financial Trading, Trading Automation, Trading Strategy

Country: France

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