Hey, welcome to Alpha Algo Trading Research.
I am glad you are here.
Your here for a reason. You want better trading ideas, better research, and better systems. Not more recycled market opinions. Not more indicator clutter. Not another strategy that looks incredible in a backtest and then falls apart when real money is on the line.
That is exactly why I built this publication.
Alpha Algo Trading Research is for traders who want robust futures systems built on actual testing. The goal is simple: give you research that is practical, understandable, and grounded in evidence. I focus on ideas that can be tested properly, improved logically, and traded in the real world.
This publication has already been featured 3 separate times in Substack’s Rising in Finance, reaching as high as number 49.
That proof matters to me, not because of the badge itself, but because it shows the work is reaching the right people. Serious traders are finding this publication because they want substance, not noise.
A few paid subscribers have already said things like:
“Thanks for your work in Substack and I hope to deepen my knowledge in EasyLanguage.”
“I really enjoy the research and concepts presented, they useful and actionable.”
“I am interested in algorithmic trading without overcomplication. your posts seem to be aligned with this ideas and i am keen to explore your work.”
If you are new here, I suggest starting with
and
I recommend these first because they are both intraday strategies with no overnight risk. They can be traded with Micro contracts, they can go long and short, and they give you a clear feel for how I think about robust system design. They are practical starting points, not flashy backtests built to impress.
A lot of trading content gives you excitement. Very little gives you edge.
That is the gap I am trying to fill.
Free subscribers get access to the educational side of my work. That includes frameworks, filters, tools, and research ideas that can help you think more clearly about systematic trading.
But paid subscribers get the deeper layer. They get full strategy breakdowns, code, testing, robustness work, and access to the growing archive of systems from the lab. That is where the real leverage is, because one robust idea can save you months of wasted research, and one strong process can stop you from building another curve fit disaster.
That is really the difference.
Free helps you learn.
Paid helps you build.
Free gives you concepts.
Paid gives you implementation.
Free shows you how I think.
Paid shows you the actual work.
If you are serious about systematic trading, that difference matters. The cost of staying stuck with weak ideas is usually far higher than the cost of access to better ones.
Glad you are here.
P.S. If you have ever felt like most trading content gives you more dopamine than usable edge, you are exactly who I built this for.
