A central question on my mind has been, how can I improve my discretionary trading with quantitative advantage while still retaining my discretionary advantage in reading the market?
System trading can benefit from iterative improvement, can execute with greater consistency, benefits from execution speed, and is more efficient and can wait for the optimal setup, and can be optimized to the current regime.
Discretionary trading can often benefit from non statistical events. It can incorporate sentiment, more general patterns, and the current market state.
Discretionary traders tend to be very good at generalized market intelligence and pattern recognition. Systems tend to be very good at specialized market intelligence.
The solution would be a synthesis of man and machine. A graybox with algorithmic execution, systematic logic, and discretionary influence.
Now, with BeyondBot: Automated Discretionary Trading Solution for NinjaTrader 8, I have the blueprint, the template, for building all my future strategies and executing my discretionary trading with algorithmic precision, speed, and accuracy.
Checkout the video demonstration here and learn how you can build your own grayboxes using my template.
Curtis is passionate about markets. He has developed top ranked futures strategies. His core focus is (1) applying machine learning and developing systematic strategies, and (2) solving the toughest problems of discretionary trading by applying quantitative tools, machine learning, and performance discipline. You can contact him at firstname.lastname@example.org.
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