How to Invest with Data Science

[@mistersir3185]

You're a blessing to the dev community. This generation is really lucky to have you. I hope people realize that.

[@derekbanas]

Thank you for taking the time to write such a nice message :)

[@7th.Chosen]

absolutely agreed! Derek rules

[@mannycalavera121]

You're truely the one of the most impressive human beings I've seen im my life.

[@derekbanas]

Thank you for taking the time to write such a nice message :) I greatly appreciate it!

[@brooksgunn5235]

Wow, this is gonna be in my vows.

[@MithunDuttaIL]

I have learned so much from him. A true Guru.

[@soliderarmatang5664]

You spent almost 4 months studying, and you recorded this while sick with COVID, honestly thank you so much. Hope your fully recovered by now. My friend and I are watching this video and learning a lot. Thank you so much, always look forward to your stuff. Have a nice day.

[@derekbanas]

Thank you :) Yes I feel better right now. Thank you for asking. I'm happy you and your friend enjoyed it

[@joyfractal]

Derek your videos have been integral to my professional and personal growth going back years.... I cannot thank you enough sir.

[@derekbanas]

Thank you for taking the time to write such a nice message :)

[@carldindial5369]

Truly appreciate your patience and effort to selflessly teach financial and programming concepts.

[@derekbanas]

Thank you for the nice message :) It is my pleasure to be able to help.

[@anto1756]

This video is too good to be on KZbin. Those 3 hours are worth more than my 2 years of college as a data science major

[@derekbanas]

Thank you for such a nice compliment :)

[@stevey187]

holy cow. As a data scientist, this video is gold. I understand the DS side of it, but you do a great job of explaining the stocks side of things.

[@derekbanas]

Thank you very much :)

[@clevo4040]

A truly spectacular video! As a Principal Data Scientist at a Forbes 5 publicly traded company, I applaud your presentation and attention to detail. As this content primarily applies to short to medium term swing trading, it would be interesting to see strategies, ML models, and insights into momentum day trading of highly liquid stocks.

[@derekbanas]

Wow thank you for taking the time to give me such a wonderful complement :) I greatly appreciate it. It is always nice to know that people in the industry approve of my work!

[@moneshmp]

I came back to this channel for nostalgia you were the real OG when I did computer science in College. I really appreciate all the great work that you have done in your channel.

[@stormybear4986]

Wow! How very lovely to finally put a face to the voice of my favorite Java tutorials!

[@felipebulac]

This was a real marathon, but I learned a lot from this video. Thanks for powering through it while sick and for bringing a great sense of humor along as well!

[@derekbanas]

I'm very happy that you enjoyed it! This was both terrible, but also so wonderful to make. The community all came together and helped me to keep pushing on. This is probably the most fun I have ever had making a video on KZbin. It is the reason why I'll probably focus on livestreams from now on. I'm very thankful for the friends I have met online :)

[@felipebulac]

@@derekbanas Of course! Looking forward to your next Twitch stream.

[@jamesrussell1962]

that constant PATH you used for calling has opened up everything for me! thank you

[@derekbanas]

Thank you for taking the time to say you liked it :)

[@brightly9368]

Hey Derek thanks or making videos. I have watched a lot of your programming video tutorials while I was studying at the university. It helped me a lot. Thanks

[@derekbanas]

Thank you :) I'm very happy you have found the videos useful

[@pmathieu899]

Thanks a lot, Derek, I have become a fan of your channel. Your explanations are clear and the pace is perfect. God Bless You!

[@_jmeg_3436]

Excellent video, as always, Derek. I always learn something new when I watch your videos. 👍🏻

[@derekbanas]

Thank you very much :)

[@Boydrone]

I cannot wait to go through this along with you! I went through this journey two years ago and built my own version of this. I am very much looking forward to seeing how you've solved the problem and what I can learn along the way!! Great work!! And I'm definitely going back to see some older videos as well ;)

[@derekbanas]

Thank you :) I hope you find it very useful

[@lmeza1983]

The kind of quality material I like to watch in youtube, amazing!

[@derekbanas]

Thank you very much :)

[@BummerSlug]

😮 this is incredible. I came for the experience but I was caught off guard by the shear volume of information! I hope you recovery quickly mate! Take care of yourself.

[@ssanchez227]

@Derek Banas, thank you for taking the time to put this together. This is truly awesome.

[@derekbanas]

Thank you very much :)

[@jackgisel3211]

Been going through this for fun. I really appreciate all the content you make

[@derekbanas]

Thank you very much for the compliment :) I'm happy I could help

[@makut4154]

Unbelievable. A genius sharing his skills for free.

[@daemon2880]

Google recommended this to me...Oooh God, how i needed this with my life....amazing video Ever! Thank you man for giving us something that has extremely high value, that isn't even available at the university...FOR FREE! You got a new loyal Subscriber/Fan!

[@derekbanas]

Thank you very much :) I'm very happy you enjoyed it. It makes me happy to give away all of this stuff for free

[@daemon2880]

@@derekbanas God bless you good Sir!

[@khalidelgazzar]

Just watched the begining and what I've seen is superb 😊 thank you

[@RanaGustico]

Thanks for posting class 1 stuff. Always. Someday It will be interesting to expand this video with options trading using Data Science like you did in this video. But again thanks for all your work. Your community has nothing but to appreciate every stream.

[@BiffBifford]

Derek, we are praying for your speedy recovery. Maybe if you feel like it, you can keep your viewers up to date on what you are going through so we know what to expect because we will all get it eventually?

[@derekbanas]

Thank you :) I pray nobody gets what I got! I caught the original covid in February 2020. That developed into Long Covid, which means you pass out all of the time and feel exhausted. There is no cure. Yes I got vaccinated. Now I caught omicron. I’d make a video, but I think a lot of people would ask me for solutions, which I don’t think would be useful since I’m not a doctor and I know a lot of doctors, because I went for treatment for long covid and they tell you straight up that they don’t know how to treat this disease and that they are just experimenting. I wish everyone the best of health and I hope some day we can get rid of this.

[@benjamindilorenzo]

@@derekbanas there is actually a heart medication that is used off label to cure the long covid symptoms. check that out, its still in the testing phase, but it had good results here in germany.

[@andrews3320]

@@benjamindilorenzo ivabradine?

[@andydataguy]

Junior dev here. Building a portfolio project and have been overwhelmed learning data science. This video will help me so much!! Can't thank you enough 🙏🏾🙏🏾🙏🏾

[@derekbanas]

Thank you :) I'm very happy that it helped. Up next I'll explain machine learning in an easy to understand way

[@andydataguy]

I'm so stoked for your ML course

[@ThourCS2]

Hey Derek, I have been watching you since 2015. Keep it up, cheers man.

[@derekbanas]

Thank you very much :)

[@ajit2187]

Found your channel 3 hours ago and I am still watching!! Just Amazing

[@derekbanas]

Thank you very much for taking the time to tell me :) I'm happy you are enjoying the investing videos

[@grumpyae86]

Derek this is the first video I’ve seen with your face to it lol. Just a quick shout out for your amazing work. I will have to find some time to dive into learning this one. Thank you again

[@danielcelisgarza]

Nevermind, i hadn't understood the convention. Great video!

[@marcusringstrom7277]

Would love to see a "build your own trading bot" video from you Derek!

[@derekbanas]

That would be rather easy with everything I covered here, but that is a powerful weapon you don't just hand to anyone

[@daveg1510]

@Derek Banas, wow I’m planning to watch this video more than once. So much knowledge here, big fan as many here you made part of my student and professional life. I understood Java because I watched all your videos.

[@derekbanas]

That's awesome :) Congratulations on all you accomplished

[@ramanthakur1105]

Woah...looking forward to watch this video in one sitting. Thanks man, really appreciate your efforts.

[@derekbanas]

It is the BIGGEST and LONGEST video I ever made! On top of that I was super sick with Covid. Everyone that attended the livestream pushed me to the end. It was fun!

[@ramanthakur1105]

@@derekbanas thankyou for your hardwork brother wish you great health 🙏❣

[@derekbanas]

Thank you :) I wish you good health as well

[@baran6186]

Really thanks for that tutorial Derek, I appreciate it.

[@derekbanas]

Thank you :) I'm happy you enjoyed it

[@johnvonhorn2942]

Hi Derek, 1st off, don't die! That is not an option. You're way too precious and important to us. I hope you get better soon. The secret is to just sleep as much as you want and need. if you need to sleep 20 hours a day for the next, few months, do it! Let your body rest and repair. The more rest you get the sooner you'll recover. Secondly, what you needed here as an intro is a parody of Tai Lopez. There you are, just standing in your garage, in front of the Lambo (The Banas's Lambo = The Bambo!) talking to us about investing. Maybe wear a t-shirt of Tai with the caption, "This is the man we'd like to be" On a serious note, I am seriously going to enjoy your series on investing, programming and machine learning. My favourite, living scientists are Doyne Farmer and Norman Packard. Those guys have lived a life the rest of us can only dream of; trying to beat roulette in Vegas with a computer in a shoe, using chaos theory to predict the stock market. Check out the book, "The Eudaemonic Pie" if you can, one of my favourites along with "Chaos" by James Gleick. This series will be of that ilk. Let's beat the system!

[@derekbanas]

Thank you very much :) That's funny! I don't have anything fancy. I save all of my money. A Lambo would be pretty cool though! I'll definitely check out the books.

[@nahleaky586]

you have provided me with an abundance of wealth, both monetary and mental. Thank you so much.

[@derekbanas]

Thank you :) It has been my pleasure to help

[@tariknavarro87]

Thanks a lot, Derek!! God bless you!

[@JoshuaBradshaw-j2e]

Thank you for an amazing video! Subscribed 🎄

[@albertli7717]

Thanks for this excellent video, take good rest and get well soon. 🙏🏻

[@derekbanas]

Thank you :) I'm happy you enjoyed it

[@alokranjan5885]

All I can say is you are a true genius and guru. God in true sense

[@KaletheQuick]

You look exactly like how your voice sounds. You are fantastic.

[@2271masoud]

The master is back. Hope you're feeling better! awesome coding session, thanks

[@derekbanas]

Thank you :) Nice to see you again! The covid still has me sadly

[@toxk1]

Wow! I learned a lot from your videos as i made my master. You combine so many toppics i‘m in love with. Thank you very much for your greath work! You are such a nice and intellegent guy. Get wel soon. Best regards from switzerland

[@derekbanas]

Thank you for taking the time to write such a nice message :) I appreciate it! I'm happy you enjoy my wide variety of videos.

[@dannychen2755]

learn a lot from your videos, i am grateful that i found your channel.

[@SP-ui6zn]

Derek, thank you for this great video. Can't believe that you are providing such a valuable information for free. Since you are about to do machine learning, may I suggest you think about creating a video of short term trading based on LSTM like Renaissance Technology was doing, and also show us how to connect to brokerage's API and do the algorithmic trading.

[@gogolegrand2099]

Thank you very much for this and all your other videos.

[@derekbanas]

Thank you :) I’m happy you enjoy them

[@johntriple]

This video helped me make my diploma thesis for my msc degree thanks cheers 🍻

[@derekbanas]

That’s awesome! Happy I could help

[@KarimBenabd]

Derek is mine of knowledge.. Thanks

[@user-wc7em8kf9d]

He made it again !!! Amazing thank you so much Derek.

[@derekbanas]

Thank you :)

[@dmark6699]

Excellent videos. Anyone who has records and a turntable is OK. Hope your feeling much better.

[@esportsnexus]

Hi Derek, hope you get well soon. You've been amazing teacher for learner like us. Hope you'll be very good very soon! :) I've following you since 2014, watching each of your videos! I remember you got the job at Apple when you were 16. Just out of curiosity, Can I know, where are you working currently?

[@derekbanas]

Thank you very much for the support. I was actually hired by Apple when I was 20. Currently I'm a consultant. I make online stores and act as an inventory analyst

[@sunmustbedestroyed]

Derek, you talked about minimizing risk. You used the example of having Hershey's chocolate stock and minimizing risk in this investment by buying stock in a company in their supply chain, e.g. sugar. I get that this is because if the sugar stock falls in value then Hershey could benefit from this and so you balance out the value of your overall stocks. What I don't get is why the reverse holds true: if Hershey stock fell, why would its sugar supplier's stock go up? Sorry if this is a long-winded/dumb question. Thanks!

[@derekbanas]

Sorry if that was confusing. Let's say you were forced to hold Hershey stock. If the price of sugar goes up this may effect the value of your Hersheys stock. So buying it would reduce your risk. This would only be true if in fact Hershey stock and sugar were non-correlated.

[@sunmustbedestroyed]

@@derekbanas Thanks Derek. Would the opposite work? If you were forced to hold sugar stock (in a sugar company that supplies sugar to Hershey), would buying Hershey stock minimize risk? Because what I don't understand is this: if Hershey stock falls, wouldn't the sugar stock also fall?

[@dakota5569]

Oh baby, this is exactly what i was looking for.

[@derekbanas]

Happy I could help :)

[@taqi5675]

My God, thank you for the blessing Derek Banas. Can i ask what all you have learned at 50 and Chess challenge in one video please ? 🌻

[@derekbanas]

Thank you for the nice message :) I'm currently learning Chess, guitar and Spanish at the moment. Always feel free to stop in during my livestreams and I'll answer any questions that you have

[@andydataguy]

You are a legend 🙌🏾 new subscriber!

[@123arskas]

You need to be above an average human in order to make videos like these in such COVID situations. Hope you get well soon. Loved it

[@derekbanas]

Thank you for the nice wishes :)

[@todorpopov8613]

What a great video, literally a beginner to a hedge fund manager tutorial.

[@derekbanas]

Thank you for the nice compliment :) It was fun to make

[@pittixixitosilveira3876]

Hello Derek, im Ricardo from Brazil (ignore the Pittixixito name, lol), i really love and appreciate ur job my english is not so good but i want express all gratification about ur videos, thank you so much for ur effort! big fan here

[@derekbanas]

Hi Ricardo, Thank you so much for taking the time to tell me you enjoy the videos. I'm learning Spanish / Portuguese right now and I hope to make videos in those languages some day :)

[@Kaletho]

I can't believe I went through all of this... took me a week but I did it! Thank you very much for posting it, it is a shame that it ended so abruptly, but I'll blame covid for that :D I am experimenting with the code and trying to adapt it to my needs. Checking if the portfolio converges. Thank you again (and the youtube algorithm for letting me know you existed hahahah) Checking your other videos definetly!

[@derekbanas]

Thank you :) I’m very happy that you enjoyed it. Sorry about the end. Yes I had covid and I knew I was going to completely lose my voice in a few minutes, so I ended it the best that I could. All of the code is on GitHub for free

[@Kaletho]

@@derekbanas I saw it, although I preferred to type it and (try to) understand it. I'm playing now to see if the portfolio converges! haha

[@arunbeckham8384]

Well, it's been long since I came back to you Derek. You always make crazy videos interesting to watch. My question is, how are you getting time to learn new things. You are incredible as always.

[@derekbanas]

Welcome back :) Thank you for the compliment! I don't sleep very much and I also have a job (Data Science / Machine Learning) that has many moments were I perform long calculations that take 10 to 20 minutes to complete. While that is happening I pick up what ever I'm currently learning. Currently I'm learning the guitar. I have an interesting and unique life.

[@arunbeckham8384]

@@derekbanas sounds great Derek. You are becoming Dr. Romantic now😁. You are doing job and uploading videos on KZbin and also following your new hobbies. I think you don't like wasting time in life. You are self disciplined person.

[@naluzar7605]

I'm speechless :) Thank you, Derek!

[@derekbanas]

Thank you very much :)

[@shawman5676]

Awesome video. Praying for your speedy recovery. Thanks a lot.

[@derekbanas]

Thank you very much :)

[@n9691-k2e]

Thanks a lot and get well soon Derek!

[@derekbanas]

Thank you very much :)

[@jrshelton5148]

Just wanted to say thank you for your time and knowledge!

[@farzandfz1481]

Just stumbled across this, just wow ..! Thanks Derek

[@derekbanas]

I’m very happy you enjoyed it :)

[@testengineertony5040]

Derek, awesome learning format. I thoroughly enjoy your python videos. Question: Instead of having an End date, how can we append new data without downloading the entire data set?

[@derekbanas]

Thank you :) 1. You'd have to save the date for your last download. Then fetch only the new data using the date data = yf.download("AAPL", start="2022-05-18", end="2022-05-20") 2. Get your saved csv data as a dataframe. get_stock_df_from_csv(ticker) 3. Then concat the new data to the end of the old data dataframe and save to csv pandas.pydata.org/docs/reference/api/pandas.concat.html#pandas.concat

[@bbuggediffy]

You are extremely generous. Thank you so much.

[@derekbanas]

You’re very kind :) It is my pleasure to help

[@xestive]

Hey Derek, thanks a lot for the video. Just wish there was a way to like it twice.

[@derekbanas]

That's funny :) Thank you

[@xestive]

@@derekbanas Welcome. I have benefited from your lessons from my undergraduate time and now doing masters and seems to keep on finding relevant content. Merci.

[@greyfox3954]

omg, that voice has a face! *mindblown* Remember watching Perl video some years ago.

[@erfan8909]

Thanks for doing this tutorial while you’re sick.

[@derekbanas]

I’m happy you enjoyed it. I couldn’t have done it without the help of those that were there asking me questions. I was exhausted and lost my voice thought at the end.

[@jaysailer9644]

Derek, when using the Ichimoku Cloud for making trading decisions, don't you need the Cloud to extend 26 periods ahead of the current Price data? Your coding example cuts the cloud off at the latest Price data.

[@digigoliath]

Wow, super awesome!!! Exactly what I am interested in!!

[@derekbanas]

I’m very happy you liked it :)

[@synocx4785]

Hi Derek, thanks for the great video and explanations! At 02:40h you go into volatility, etc. Do you have an idea in which literature the equations or the definition of such values can be found? An overview (summary) of the frequently used equations would be great. Thanks very much!

[@tomeru2377]

Hello Derek, thank you for this great lesson, in minute 38:55 does the span-A need to be shift 26 sessions forward like you done with span-B ? regards. Tom

[@TheGuyegood]

Did you fix the error during your first break? I was surprised that you can plot the AMD Bollinger band, cuz apparently new_df.to_csv(PATH + 'A' + '.csv') is incorrect, you save all the new dataframe to 'A.CSV'

[@thriller718]

Yeah, I noticed that too. It should be new_df.to_csv(PATH + x + '.csv')

[@dmgeo]

Thanks for sharing this. I hope you are fully recovered from covid. I see you presented some tools and showed how to create them in Python. But regarding the portfolio, I was wondering how the decision making process works for selecting the stocks. In the video you came up with a random portfolio and computed the percentages of each stock. But I would like to see what makes you pick a particular stock. Is there a video on that? Thanks.

[@derekbanas]

Thank you :) I'm feeling better. All the tools are here to do what I do. I get a list of the best sector stocks over a 5, 3 and 1 year period. I then run ichimoku on them and look for stocks from each sector with strong momentum. Then I create an efficient portfolio with those stocks.

[@karthik._.chandra]

Hello Derek. Great video as always. Do you have any suggested resources to understand these concepts from a Mathematical standpoint?

[@derekbanas]

Thank you very much :) Next week I'll start making learn in one videos for Algebra, Trig and then calculus

[@alimamulma3sum14]

Hi Derek. Is there any chance you can timestamp the topics please? Thanks for this massive effort.

[@derekbanas]

Hi, I would, but it is basically one big project. Nothing works unless you build everything from the very beginning.

[@austinashcraft2884]

Incredibly helpful video. Thank you!! Do you have any book/ other similar resource recommendations for a beginner to get a good grasp on investing?

[@derekbanas]

Thank you very much :) The book I recommend is simply called Investments by Bodie amzn.to/3IQTjdi It covers most everything you could ever want to know. It is a textbook

[@dareljohnson5770]

Thanks for doing the video. I hope you feel better.

[@derekbanas]

Thank you :)

[@EsbenKielS]

Awesome. Learned a lot of new stuff today!! Greetings from Denmark!

[@derekbanas]

Fantastic! I'm happy you enjoyed it

[@EsbenKielS]

@@derekbanas I ran into a little problem. Maybe you can guide me. When trying to do like this: ticker = 'AMZN' stock = yf.Ticker(ticker) df = stock.history(period="5y") I keep getting an error: df.index = df.index.tz_localize("UTC").tz_convert( AttributeError: 'Index' object has no attribute 'tz_localize' How do i fix this? Thank you 😃

[@sillyjosh9335]

Hey Derek, love the vids really informative. Just wondering, how do you get the future Ichimoku clouds to appear at the end of the plotly graphs? Like the ones on trading sites. Thanks for all the videos, you legend!

[@Bryan-wl4mj]

As always, thank you for such valuable content. I just started learning elixir and I’m so glad I found your tutorial. Any plans on doing a phoenix and liveview tutorial?

[@derekbanas]

Thank you :) I’ll see what I can do

[@AliNormukhamedov]

Brilliant ! Thank you so much !

[@derekbanas]

Thank you :) Happy to be of help

[@synocx4785]

Hey Derek, thanks again for your amazing videos! I have now looked at the Technical Analysis series and have looked at the Python for Finance series. However, I have a question. When choosing the stocks you trade or have traded, did you do any further research besides technical analysis? For example, have you also looked at company key figures such as employee growth, sales, etc. for a company or analyzed when a new product is coming from the company? If so, can you also make a video about it or do you also have a book recommendation here? Thanks very much!

[@derekbanas]

I don't pay any attention to that because that information is normally priced in already. After many years of investing I have only bought a company that unexpectedly dropped a lot in value a few times. Unexpected lawsuits, or CEO corruption is normally the cause and that isn't in the books for a good reason :) It is so rare that I can tell you the 2 companies where this happened over the last 5 years being Generac Holdings and Hexo

[@azrulfyz1162]

Thanks much appreciated, this is truly a GEM

[@derekbanas]

Thank you very much :)

[@Boydrone]

Hi Derek, I just finished watching all 13 episodes! :D Tremendous work and thank you greatly for sharing your knowledge in this way with us all. One thing I didn't quite understand, at around the 2hr:38min mark in the video, you begin to explain and generate the random weighting for the 10,000 portfolios. What I don't understand specifically, is why you allow this to be random? (aside from the fact that individually selecting weights for each ticker 10k times is a rediculous expectation) but why wouldn't you assign weighting based on the performance of the ticker? Looking forward to hearing from you!

[@derekbanas]

Thank you :) I'm very happy you enjoyed it. Everything is random because I don't want to influence the numbers, but instead I want the statistics to stand on their own. You could create more than 10,000 portfolios, but the result will be largely the same. This is a science above all for portfolio creation. The technical side of trading is science with art mixed in. It is a good idea to back test when you think intuition is valuable, but largely the proven science will normally lead you down the right path I have found.

[@Boydrone]

@@derekbanas ok, that sounds like the most logical approach. And I assume we can also "play" with the top tickers within the top, say, 3 tickers, within each industry and iterate for the fun of it. But for me, I've found that putting my engineering hat on and attempting to be too precise leads on the science part vs the art. Haha. Thanks Derek

[@gustavoaguilar2005]

Great video! Question: isn't something wrong with the Span B? Either the definition or the code chunk? Seems weird to me :s

[@psk177]

Hope you get better soon! Been following your channel for really long time! Go Dodgers! If you're in LA, I'd be down to get some tacos someday!

[@derekbanas]

Thank you :) No I don’t live in LA. I’m freezing in Pittsburgh :(

[@svk0016]

Thanks Derek! I been watching your videos for 10 years, and learned python and many other things from you! Even now when I have to give interviews I'll brush up on basics by watching your videos! In one of the videos you mentioned, you don't need to change portfolio for 3-6 months, is there a sweet spot? And if I'm looking at Ichimoku over period of 5 years, 1 year, 6 months, 1 month and say create portfolio of 10 companies with given risk etc. would you give more weightage to performance for last month or 3 months etc? And should I look at regression etc you mentioned as well or only analysis using Ichimoku is enough? And now specially when market is under turbulence does above concepts still apply or one should be updating portfolio weekly? I know I'm taking advantage of your generosity and asking to many questions :) Thank you and till next time!

[@derekbanas]

Thank you very much for following my videos :) When creating a portfolio you use Ichimoku to find an entry point. The most importnat thing though is to craft a portfolio that minimizes risk at your chosen risk level. I then rarely change my portfolio unless I have a huge run up in a particular security. I never sell when a stock is down! I'll give you an example. I have Newmont Mining in a portfolio along with AMD. Newmont is up nearly 40%, while AMD is down by about as much. That is by plan. Do I think Newmont will continue this rise? No and I also don't expect AMD to continue to fall. That is where Ichimoku comes in. I want to watch it and when it is triggering a selling / or buying opportunity in either stocks I will reallocate to the stock that previously fell and away from that which went up. When creating your portfolio you have to buy companies that you believe in. That is why I don't buy companies younger than 5 years. A also buy companies that sell products I buy or in which I believe in their basic idea. I have products from McCormick, Procter and Gamble, Netflix, AMD, Nvidia, etc. I also believe in companies like Newmont, Old Dominion, Progressive, etc. And, when they go down in value I consider that an opportunity to buy more. If you valued a product at $50 and then you go to the store and find out it is now $20, do you consider that an opportunity? I hope so. Never put a company in your portfolio if you think you will sell it if it drops in value by 20%. When I see the S&P fall I cheer and buy some more. If it fell by 50% I'd be so excited and buy as much as possible! That is how you must think in regards to investing. Just my opinion and not financial advise because I don't know anything about your risk level. If you can't handle a 20% drop, which is ok and a lot of people can't, I recommend that you stay out of the stock market however.

[@svk0016]

thanks for detailed info! I'm all in for Derek university, just waiting for it to go public :)

[@derekbanas]

Happy to help :) I wouldn't invest in my university though because nearly everything is free

[@goodlack9093]

I really enjoyed your video...but I'm a bit confused with your words that you " absolutely do not sell anything" and yet there's a link to your course. I mean there's nothing bad about a payment-based course but...I jsut don't get it how does it reconcile with your words?

[@dr.uneebmirza916]

Loved the video. Get well soon. ❤️ I'm still hooked with your invisible cup lol 😂

[@derekbanas]

Thank you :) I have to put that invisible cup on the Merch Store :) Kidding

[@rbsfinger]

Nice to meet you!

[@griffincosgrove8927]

Another good one. Keep em coming!

[@derekbanas]

Thank you :) Machine learning is coming next

[@dhankkhush1088]

Amazing tutorial! I'm new to investing but learned so much... basically get data, analyse, take the best tickers and make sure they don't correlate too much, then create lots of portfolios with random weights and select the one that optimizes returns for your chosen risk?

[@derekbanas]

Thank you :) Yes that is basically the idea

[@saefulchannel4932]

vidio is very good..tq

[@ad_tv1]

How much time you take to learn these things 😉 By the way Thankyou 😊

[@crystalape2195]

thank you for this video!

[@phil3.146]

Thank you for this video.

[@derekbanas]

Thank you :) I'm very happy that I could help