Profitable Insights into Financial Markets
In part 1 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 the strategy that we will be implementing.
Read MoreI 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!
Read MoreHow mistakes in my retirement trading strategy product launch eventually led me to automate the system using AWS cloud for free; and of course Python. This is part 1 of a series.
Read MoreIn part 1 of the series, I introduced the blackarbs retirement algorithm, a long only leveraged ETF strategy meant to perform at or better than SPY (the market benchmark) with less volatility. I discussed the goals I set for the algo and how thus far in simulated backtests and live trading it has met those goals. In this post I want to talk about the development process and robustness testing of the algorithm.
Read MoreBlackarbs current mission is to create automated strategies with the goal of beating the market with superior risk adjusted returns. Originally, I wanted to illuminate some of the more hidden aspects of markets and investing that I found interesting and of value. Over time, that goal crystallized into creating a strategy or strategies that made (potential) superior performance accessible to investors of all types and demographics. To this end I believe we have finally created a flagship algorithm.
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