"Part I : Build the baseline bot":"00:00:43", "Import libraries - lumibot etc":"00:00:56", "Part II : Position sizing and limits":"00:10:11", "Part III : Getting some news":"00:15:48", "Part IV : Bringing in the ML Model (AI)":"00:23:43", "Part V : Integrating our trading signal (sentiment)":"00:28:27"
Duuuude. Love watching. The quickness at which you move step to step is fantastic. And the breakdown as you're doing it is fantastic. Fantastic.
Thanks bud for keeping us financially Educated! Regardless of how bad it gets on the economy, i still make over $23,000 every single week
Love the thorough detail of building this bot from beginning to end!
Man. You are the smartest computer guy I have ever seen. I could never do that but I get the logic behind the program.
It's refreshing to see such transparency in discussing market volatility.
I have been running this bot with a live account for a few months now, boots up when I start my PC, really cool watching the sentiment analysis and trading activity. Also setup a BTC version as well when the alpaca news api went down for a few days
Legend ! As a soon to be CS grad and trading enthusiast, this is a very informative video. Gives you a different perspective to the market, beyond the human side of it. Market makers aren’t sitting at their desk entering/exiting whale size positions by the second, computers are…code is ! I started to learn pine script (still might) to utilize scripting on tradingview, but thank you for displaying an exciting way to breaking into quant trading with python . Thank you 10000 times, earned a new subscriber!
I think you should have used floor() vs. round() to set the quantity. round() may round up to the next integer if the decimal > .5. That should cause an error since it will cost more than what you wanted to risk. floor() rounds down.
Respect to you son, i have wanted to do this for a long time but i dont have the skill in coding,. I will follow and copy you. If i become wealthy... I WILL send you a percentage... Thank you for your time and mind.
I think that the ML part can be extrapolated and run on all the stocks in last 5 days to find which are the stocks with positive sentiment and focus on them instead of the opposite. which is what traders do going to the news in the morning before starting to look at the markets....
I've made my own trading algo as well, but i'm working on a different way.. by using an image classifier to look for specific graph patterns from a bunch of indicators while scalping at the min, plus news
Great video. I am a trader who has been licensed since 2015. I’ve only recently (since 2020) been playing with python. I decided to have a little fun and change the ticker to stocks, funds, and other indexes. Swings from outperformance of 34% CAGR from S&P400 and Nasdaq was negative $1B. With a b. My plan is to add in screening functionality to build a small basket of stocks and then let this loose. Thanks for doing the video.
Great video, very clean code and easy to code it along with you. 10/10!
you working so easily and without nerves! just the best one
Bro is back! Thank you :) Best regards from Germany
I'm a developer myself, but I'll get my 14 year old to start with a project like this since he dreams of being BIG in active trading/investment. New sub here!
Crisp, smart way of explaining, necessary and sufficient information. That was helpful. Thank you.
I’ve struggled with this for so long. You saved me!
@NicholasRenotte