Our algorithmic approach to day trading Nasdaq futures
We specialize in algorithmic trading of NQ futures using two distinct portfolio approaches powered by advanced machine learning models and sophisticated technical analysis. Rather than focusing on individual strategies, we've developed holistic portfolios that integrate cutting-edge AI with proven technical indicators to work together in capturing opportunities across various market conditions.
Our portfolios consist of distinct strategies designed to identify and capitalize on price movements in the Nasdaq-100 futures market (commonly known as "NQ futures"). Each strategy operates within a specific timeframe but shares our core philosophy of systematic, rules-based trading enhanced by machine learning technology.
These strategies are all intraday, meaning positions are opened and closed within the same trading day, avoiding overnight market exposure and associated risks. By utilizing multiple timeframes, our portfolios aim to capture opportunities across various market conditions.
Our trading portfolios incorporate two key elements:
What are technical indicators? Technical indicators are mathematical calculations based on price, volume, or open interest of a security. These calculations are visualized on trading charts and help traders identify patterns and potential trading opportunities.
What is trend following? Trend following is a strategy that seeks to capture gains by identifying and following the direction of market momentum. Rather than predicting market reversals, trend following strategies aim to participate in established market moves.
Our strategies use a combination of technical indicators to identify when the Nasdaq-100 futures are showing signs of momentum, creating potential trading opportunities in both directions.
What is machine learning in trading? Machine learning (ML) is a subset of artificial intelligence that enables systems to learn from data and improve from experience. In trading, ML can help identify patterns and relationships that might not be obvious to human traders.
Once our technical indicators generate a potential trading signal, our ML models evaluate additional factors to determine whether the signal should be executed. This additional layer of analysis helps filter out lower-quality signals and improves the overall quality of our trading decisions.
Our Long Portfolio capitalizes on upward price movements in the NQ futures market, employing multiple algorithms designed to identify optimal entry and exit points.
View Long PortfolioOur Short Portfolio focuses on capturing downside movements in the NQ futures market, with specialized algorithms designed to identify reversal points and trend changes.
View Short Portfolio