Simple Order Flow Futures Trading Algorithm in QuantConnect! Beginner Friendly | QC Tutorial 13

In this video I make a trading algorithm that works on a fixed universe of futures in QuantConnect. I go over how to organize data and structure a project like this.
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[@Score_AI]

This gets me so incredibly excited! I don’t have many interests that truly get me hyped, but these are at the top: AI and its ability to empower non-coders like me to create tools that can revolutionize trading and improve life in general. Trading-not just for the thrill of it but for the potential to transform the lives of those closest to me. I've faced my share of setbacks, blowing a few accounts along the way, but I remain passionate about trading. The idea of harnessing the power of order flow and building a tool around a concept I genuinely believe in makes me grin from ear to ear. I discovered your channel while searching for more insights on order flow concepts and training. Honestly, I can’t understand why your videos and channel aren’t more widely recognized-they’re incredible! I haven’t seen others creating tools or bots that integrate order flow in such a practical way, and I’m baffled as to why more people aren’t exploring this. I absolutely love this video and the way you break down the code. The results speak for themselves. While it seemed like you may have pushed the project out quickly just to release the video, I’d strongly encourage you to revisit and optimize the code. I believe this tool has immense potential, and a refined version could achieve amazing results-both for the tool itself and for the visibility of your channel. Keep up the great work; I’m genuinely excited to see what’s next! Also as an example check out this guys channel and how these same type of videos took his views from the hundreds to the tens of thousands. You could totally do that!! -www.youtube.com/@michaelionita

[@ethernetwink7230]

You’re so kind thank you for what you’ve said :). Orderflow is a great thing to trade. I think the real edge in it still lies in a form of market classifying like the explanation I gave about uptrend or downtrend If you want to build upon this I’d encourage you to change it up so the results are not very dependent on look back values. What I mean is if I change the look back parameters for the entropy and entropy moving average how much are results affected? Probably a decent amount, so what do we know now? The model shows promise and our thesis is right, but we should implement a way to classify that is not very dependent on parameters. Leads to less overfitting, more robust, and gives us more confidence in deployment I’m so glad you enjoyed this :)

[@EEMBMinecraft2442]

I found your indicators on tv earlier. Pretty neat!

[@ethernetwink7230]

@@EEMBMinecraft2442 thanks!!

[@manujayaperera3961]

Thnak you. Nice channel