Before alpha, there must be trust
The first job of a serious research system is not to find alpha. It is to create the infrastructure where alpha can be trusted.
READ MORE →Pattern recognition at machine scale. Strategy signals. Cloud automation. Education that ships.
Quantitative alpha factor research. Systematic signal discovery, backtesting, and portfolio construction.
EXPLORE →Tutorials, courses, and code walkthroughs. Learn to build automated trading systems from scratch.
START BUILDING →Premium trading infrastructure automation. AWS cloud deployment, monitoring, and operations.
DEPLOY →"Working with Brian on a fintech application was a pleasure. Not only is Brian very knowledgeable as a Chartered Financial Analyst, but he was a fantastic resource when it came down to programming the application itself. His Python skills are top notch, and he was able to introduce me to developer tools and practices that I still use today."
"I had the pleasure of working with Brian on our internal fintech application overhaul, where he demonstrated exceptional skills in data analytics and workflow automation. My project requirements were complex and a little fluid. However, his clear communication and proactive approach made collaboration seamless, resulting in a dramatic increase in my trading system's performance."
The first job of a serious research system is not to find alpha. It is to create the infrastructure where alpha can be trusted.
READ MORE →Three systems, one thesis: reliable judgment requires infrastructure.
READ MORE →The notebook taught you theory, but not how to deploy.
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The code and diagrams for the strategy can be found on github. AWS Trading Part 2 Youtube video is here. Introduction In part 1 youtube video link we covered the data pipeline portion of the AWS trading bot architecture. I demonstrated how to set up your AWS environment, including creating a simple dynamoDB database to hold our price and strategy data. Then we walked through the data pipeline code in detail including how to grab the data and populate our db with it. In this post we’ll cover t
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I just published Part 1 of my new YouTube series, and I'm excited to share it with you all! After my recent post about automating trading strategies with AWS Cloud, many of you asked for a deeper dive into the technical implementation. Well, here it is! What's in Part 1? In this first video, we're tackling the foundation: configuring your AWS data pipeline and writing the Python code to make it all work. I walk through the exact steps I use in my own automated trading system, showing you how
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