Know about Algo trading in 40 minutes

[Music] hello friends this is we've a petard co-founder of stockades and he led markets today sir Frank's I have a very very special video for you in this video I am going to decode algo trading for all of you I'm sure you must be interested in knowing about it and if you are interested you have to watch this video fully because today is going to be a special discussion and I have a special person also who's with me to have that discussion but before I go to that person you guys have not clicked on subscribed yet if you are not yet part of elam markets and you have not clicked the bell icon so please subscribe to our channel because this is only channel in the country which is giving across diversified understanding of market and almost zero cost so you have to become part of our family it's a growing family make sure you don't miss this opportunity sure so now coming back to the video so we are talking about algo trading a very complicated world I will go trading and I thought who better than my dear brother nitesh can deal while I wait are you very nice Reina is how agree pretty good so detached I've been known knowing him for almost 10 years or so 30 years almost 30 mins so for last 13 years I have seen him maturing as a trader as an algo trader as an owner of India as one of the largest I'll go to any desk and also the the main guy who's behind the one of the largest biggest algo training institute in the world which we knew and asked wanting Steve so the dish is the best person in this country who can tell us everything about a go trading so friends you will have to make sure that you complete this video this video may actually go for a long time but make sure that if you want to really understand how good trading this is going to be the best video for you alright so details before we go to our trading first of all everyone wants to know what you your background what we have done and why you are what you are doing [Music] [Applause] sure first of all thank you so much for inviting me on this on this face to face with you and I must say I have been following your YouTube channel abelian markets for a while and of course we are closely related in terms of the various ventures that we have been doing so it's just absolutely delighted pleasure to actually be as part of this and have this interesting conversation with you right so so thanks for that first so so let's let me give a very brief introduction about about me so financial markets is something that has been very close to me something that has intrigued me for a very long time right when I was doing my BTech from Attica and hold dear as a student I was trying to figure out what really excites me I tried my hand size in electronics of electrical heating as it is called in length and I was very very attached to micro electronics then I was working towards that okay let's look at the software side of it then I was looking at the marketing side because I was just looking for that true passion but really got that passion inside me and then suddenly one fine day I started reading something papers business standard economic times men chill Express and I was so I ended up reading all of them every day in my library in my reading room in the in the hostel and this is what I really want to do okay so so since then I have been doing it and then I specialized in tuned master strong and know for majoring in finance and economics and then I worked with them with a with a bank in the straw and restructuring side and then I first thing I started doing that was trading as a job in order to prop test in face no way and then of course as Leslie would have it we will I make some like-minded individuals so my colleagues from my in through my then we started off with something but I did and of course you're correct it with you at that very time Thanks so it started off honorable collaboration since then so so so that was the start that was 2009 right so little over ten years back and we tried out different things and eventually today the baby that we hit it that at that time those languages I read so that went on to become one of the leading curve papers in the high frequency trading domain in India so so that's there on the chilly side but we also found it something called honesty which came in as a side thing when we started 2010 but over the years it felt on becoming more and more of really amazing solutions which can really help which you thought could really help a lot of people as the overall ecosystem of trading changed right so so trading when how it was so it has been changing since 2000 then the optionals and then the elbow trading which shows the route in 2008 by say in India and after that it has been changing with data science and other things coming in next so it is becoming quite an interesting domain and we thought that honesty can become that vehicle to bring that to and help people adapt to that change which is coming in so we started with that so I was focusing on the trading business from 2009 in 2016 and then 2016 onwards I started my focus full-time on corners to close I really thought that they can be so much that we can do and three and a half years down the line says this dude that I'm really glad to learn they're at it alright so so that's what you're focusing on in quantity today and I am beating the ones to business power so that is your background is some some kind of the background with lot of our users when is you need also an engineer from a premium engineering Institute and they will be other also from other Institute and then you didn't be and then you were trying to figure out what your real passion is and you got into the market you learn technical practice technical analysis so a lot of people one of our users are people who have followed technical analysis of our ducted technologies the last two or three years which you did almost seven to eight years ago ten years ago and then you graduated and thought that the future belongs to have good reading which is more actually rule-based as the many trading and that's how we initiated the discussion and we got along together so my you profile is extremely important for my users because these are the guys were at a threshold of practicing technical analysis and they somehow believe that it really works for some it has worked for some probably does not work but the larger hypothesis is that technologist is the right tool to trade in the market now some of them would definitely like to graduate from technicals to get into more algo trading so let me focus this video purely with you on explaining many basic elementary things with respect to a good reading and how my users can who are practicing technical because we clear lot of these face to face and learning videos and technical or really expose topic lot of people know about it but I am doing something which people don't know so this video let us focus on building the elementary foundation block for people who want to get into a good reading so my first question is what is unloaded perfect so so that's a very interesting and very important question that you have asked and this is also something whenever I'm giving a presentation to any group be it really the top it's teaching guys meet their students this way we start from and as you know that the easiest questions are the most difficult to answer what is reading if I ask someone that what is elbow training most people say that ok it's high frequency hft lot of orders and doing all those things some people will say that it's all automation now automate we were automating everything some people will just say no no it's just about says to be creating systematic trading systems more plating models using statistics for that so it's quite confusing and to be honest if you try to look at the definition for elbow trading in different jurisdictions so if I am looking at the US jurisdiction the FINRA will have certain destination of it if I look at the UK or FCA definition of advocating they have a different definition India CB has a little division some people say if you do computer automation that's a looting some people will say if you are just doing part automation just creating a mortar using some algorithm to create a system but even though execution is not automated that can also be called Apple right India say be defines it very simply if you are sending out orders in an automated way without any manual intervention okay so that's what will statement okay so whatever regulator says for the ante restriction that's what the right word okay so so that's that's a look at it but term what are all these are the things that we keep on hearing them so let me let me let me let me give a brief or one better all of that so first thing is algo trading okay but before that you need to understand something will systematically what is systematic way so systematic trading is where you are saying that I am NOT doing that discrete state really okay I'm not trading at my own discretion but I am creating model and creating a set of rules which will dictate what to buy when to buy when to sell how much to buy how much to sell all those things are being addressed by our sister that's a systemic change it's regardless of whether you are coming to those decisions by looking at the B by a ratio or you are looking at MACD of technical analysis or any chart and patterns whatever you're looking it's basically what if it is given back system right a system not necessary this is the middle system but system of process it's systematic so why they are we limiting our discussion for trading only because systematic could be the apply for trading for investing also eventually it's a rule driven data-driven mythology in hlg to take decision so I have operating not necessary so I'll be using I go trading in how many whose way that it's trading trading I have actually would legally invest but also of course the armor of films which to use algorithm so investments oh there are big hedge funds who use algorithms very complex algorithms also for doing point them in Telemachus Wow trend is the big revelation typically we use I'll go for trading but it's a very big misconception I go can have application for investing also because theta as much as data is available on trading to play with if not more because actually available in fundamental to play with so fundamental and they're not more things which would probably discuss but when you so you can actually look at systemic trading from the systematic investment of you creating point of view so that's your systematically now in systematic trading when you are using computer programs to create certain algorithms which will help you generate the orders or generate the signals which you will trade using automated system or semi-automatic systems or manual system so we are saying that we are using a beauty so now you're entering the real everything now when we are talking that will be trading when you are using algorithms be typically in most business but not necessarily as I said that you can create algorithms for the technical answers based systems right so using Technion says or for fundamentals so that can be done so you can use either the for all of that but generally in most pieces people use algorithms or testicles when you are using mathematics and statistics for the algorithm for creating those systems that's called quandary okay what is on trading now one another big confusion of equation which terms a lot of people is that okay here is corn trading but quantity and using statistics in technical indicators I am using indicators I am using math so bit of maths over there as well right so that's contrary or not computing what is it it can completely it depends on how you're doing if you are so picking up a word venture of the big used of initially in the conversation hypothesis if you have a hypothesis no matter how it is coming in and if you are testing it using set statistical processes then you are talking about quantity right so it need not be that okay MACD I'm using MSC MACD so it cannot be gone it can't be but when the model that you have created for MSA you are using every CD how is how are you testing it up how you're validating the hypothesis how you are creating the rules to generates signals to those signals that's what makes it whether it's so that's for trading and then we have a specific subset of elbow trading which is high frequency trading so high frequency trading is where you are sending huge number of orders like a typical given example basically I think that will help so typical hft desk reasonable-sized accepted as senior would be sending about few million orders okay okay they will be trading few ten thousand to five hundred thousand trips they will be doing okay right so they are doing all of that what it means is that you are sending huge number of orders you are changing them very very frequently you are holding them for very short kind of thing or churning a lot all those things resonate should I pick mystery okay everyone's treating you need very solid infrastructure very high technology to make sure that your latency that's the world for how much time it is taking to do our process like so how much time is it taking so if you need a very high-end infrastructure technology for that but that's not what all advocating is about right so that's a very specific subset of algorithm cheating high frequency and when you are automating everything that's what we go on bonding so all hft strategies have to be automated but not algo trading or quality strategies need to be or need to be needed oh wow so just to revise this for some of our users high-frequency trading is typically when you trade very very frequently so that's why it's called high frequency and it is a domain or specialized people who are into the high frequency business because they have an expertise of both quad as well as metonym of leanness hft is a very technology intensive because there is something on latency to connect with the exchange and to get faster response from the exchange that's what we call latency so these are specialized people who do high frequency right and the other form of trading which I can say it's a low frequency trading which is more quant oriented where the whole process may not necessarily be optimized right the day I decide not to send into coins she just said I wish the US and Canada in 2010 just to understand how things operate there when we started out readiness and I met couple of songs with one of the firm there was a guy who developed a very interesting quad module and thread this is very important for you to say this his squat model was based on the color of time of CNBC TV icon can you beat that so his model war they were back tested by him for the period of two two and a half years that whenever the color of the tire is x mark I'd used to react in a certain way I was trying to figure out that what is he trying to do is he trying to suggest that the TV anchor is suggested something to the audience and market is taking feedback from a suggestion I don't know but the point you mentioned that anything could be expressed in the term of porn it could be price which is typically technicals but fundamentally it could be color of tires whether anything can have an impact well your hypothesis has to be very defined oh yeah I have this desk defining the hypothesis but now it will become a core if you are able to validate that ever this is problem right I'll give another example I had this hypothesis that in 2010 2009 2010 there was this specific moves in euro USD which used to happen which almost same as what nifty used to be so the last four minutes of a euro USD will be similar toward the levels of nifty okay it's totally spurious is totally random but it was what it was at that time but if I am good to it I did check to the hypothesis to validate it it's not going to excite you will not be able to prove anything using proper validations and of course it broke in a few months so that's there it was fun so I mean maybe our conversation since is suggesting to people that oh my god it's very high five it's ie ie do not be able to do these kind of things so I want to actually come down and I want to say that if suppose a normal person but a bit of academic background MIUI understand that people with zero academic background Academy can do this for them to get into algo goofy so I do complicated but someone with an average academic background you get that person start making an attempt in learning quant or high-purity yes I think we have been interacting with the wide variety of people who the last many years now who's ten years of honesty and I think we have had fair share of people who come from very strong academic background the programming or status to background as well as people who are coming from non-program is it easy to pick programming languages or statistics for person was coming from non-status do not program back not know it's not easy but can it be done a lot of people have done right so it's possible to huge amount of that code would be required for sure but if you want to you will be able to so that's there so not thing is that see what it needs is the bent of mind which tries to think analytically right if you consider yourself a trader who likes to hear about the levels someone and try to follow that and treat that then the analytical bent is like a out of shape in that case is what my personal but if you're someone who is hearing that but then thinking about it why is it happening right what is the reason behind it then I'm seeing a look at your slightly analytic you then you have that bent of mind which can help you in understanding how algorithms work so everything is not program everything is a set of rules right it can be maintained also so that's one but then when you are putting that into a computer then you are talking about programming like you can use you will have a use a programming language tool that's right right so you will need to learn about syntax it's basically learning about how you learn English or if I am trying to learn Spanish or Wichita T or any language right now so so I have to learn about how the f of X are how the combination works right so that's how it is for the programming part also right so you'll have to you don't have to put an effort to understand that sentence and understand those compositions once you understand that you will be able to create and talk to a computer just like any program that will need will do right right so so that's one part of it when it's not just about programs but also what's that spot how to use understand the basic strands tricks and then how to use that for first thing is hypothesis creation training ideation ancestry trading strategy ideation second step is once I have thought of a hypothesis how do I validate it right so have a validating it third step would be how to create a credible model right and then defining the rules for exits entries and exits around that and then I say that optimizing it right and then benchmarking know here is the key thing most of the people when they start the core training aspect were they when we talk about optimizing the end of curve fitting okay that's not what you can we should be doing break so that's just creating a very rosy picture of the past which is not going to work okay so you've got to back test it in a more scientific way you have to use the things called in the cell for out-of-sample data you have to divide the data into all sort of slight slight statistics that you have to use to make it actually a bit more real right rather than serial so so that's important so once you do that then you go about the implementation but which is where the most part of programming will come into the play as well okay so so that's those are the things that we'll have to learn about can it be done by people from non-program long strands to a bangkok yes it can be done we like neither effort yes if you leave it is it that work all money-making always these references it doesn't come easy for sure yes when is this no player especially in the world with 60 to 70 percent of the turnover global is happening because the bank goes yes and robots have literally taken over our role so money make you have nearly 50% of the volumes which is happening through algorithms in the derivatives market yeah so which is the bean market for us so so that is already happening and this these different number of people who are using systemic or system oriented tools or trading adding Division II level density is a very decent number of people who aren't already doing that - anything it's so people are with us who have probably - at market in the last two or three years maybe because of huge you should not discount brokers all along somehow people have realized that this is a market to be in so not of how user actually belong to that category and some of them are actually guys with some technology backgrounds sure maybe part of some IT company or nasty job in IT company into again large part of the audience is someone who's learned technicals last two years either they have learned it from us or through free channels who paid courses workshops love influx of quality programs with rate with respect to technical analysis has come in our country now I want you to define a path for those people like this video is step 0 okay that they have now become now launching that this is a launching pad where they've started now think about yeah oh heck yeah the Carnegie they've started thinking now tell me five steps this is the step zero tell me step one someone who knows technical what should he do says that he or she should do step two step three step four Step five so that after the period of say one year an obvious two years they may actually have that courage to actually go at once themself inadvertently surely so the first thing I think um it would depend on is that what is the objective why am i doing it what I am doing so if my objective is so simple thing is that okay of starting my career in financial markets the last few years and it's been going great I'm using technicals for this this this know for them most likely the idea of creating or using algorithms would be to further expand to scale it up there would be others who would be saying that okay I'm doing okay but the performance is a bit up and then down and then it's that's last part so for that for that it would be more of how to use algorithms to improve the performance make it more consistent so in that case the focus would be more of learning the new skills new techniques new tools that you can use to ensure that is happening right and then the people who are not able to pick it up right so maybe losing money trying the best but not not me then the idea would be that okay then it's time to revisit the whole thing alright so change the approach look at the new approach what me know regardless now the first first step is that so where you identify ourselves once that is done then you know that what my object is objective is defined then we say that in the step one I believe skills is the most important part if you got the skills you will be able to move if not then we are stuck over there itself right so skills is something that has to affect for algo trading what you essentially need ever to on trading the things that you will need is first thing is text accreta nemetrix right so let's say stats and maths right so strikes and maths basic knowledge to a reasonable amount of decent knowledge to then the programming or what do you say but financial computing in that Python is what the world is eating drinking and breathing these days that's the most popular language programming language in fact I was very glad to know that even CBSE has already inducted Python in their clinic to the wall well this who the education which is somebody is hearing yes so so pilot is a but of course they're all the languages but I think something that it is expanding really fast and then the French markets in this channel so you need to understand what financial markets are what different type of instruments our dividends are all of those things so that's the skills that you need to learn next step is that you learning about the tools which you can use to showcase or deploy these skills right whether it be for creating the models generating the signals optimizing those with your models or executing your minds think so so those would be that will be your next step which you will be doing thanks to that you will be going for the light rail so once back testing is done you've done your paper trading you have like absolutely sure about that whatever I've done it does make sense there is a robust strategy that I've already have in place now the idea is that okay let's put where your money into it a lot of people say that you trading is like swimming once you jump in the water if you don't jump into water you don't learn I don't totally agree with that so I believe that if you are going to risk your own capital you or anyone's careful so you got to ensure that you already have done it in the demo strategies in the demo environment in the simulators which are may be poor trading whichever you want to do it but you make sure that you have done that you have a proper very strong hypothesis and very strong reason for actually taking it to the market right it's not about taking to the Neyman that will modifier to change now you market will not give you that much of what many chances knocking to the tough master is the ring must change the very tough one okay so see what we really prepared when you do that and once you have done then you take it to the broker system your discount brokers domination broke a elevators so you take that with your broker and light with the group and then you do the next step is continuously research and optimizing and using the feedback output that will be coming in that okay these kind of strategies these are generating these type of returns these type of strategies are losing in these type of markets matching it with what kind of strategies are working what kind of market all of that so the research and the feedback loop that you'll be creating and then revisiting the whole process it goes back to the learning part right so learning and then creating optimizing that test research implement and that's pretty interesting the steps are quite very defined I want to see her I'll go code or show me some code is nice Gina I go for other videos I have I already kept it open so over here this is a simple Python code okay very gifted a basic strategy will be sick sick thing which is what it is doing is that you are just writing a Python code small by the code or by in full stretch so what it effectively is doing is that I'll buy a defined period of time I'll be buying a list of nine stocks okay and I will be rebalancing after a certain period of time okay so if some trades or some stocks are going outperforming and then some of the stocks are underperforming so some will have any say if the quarter is the one for example if the period in that case I will read back to this code so in this we have defined symbol symbol is essentially or all these TVs lab or SunPower monthly or how this donkey and everything and then the auto target percentage so how much percentage of the cash that I'm holding I want to put that into the into the orders right and then I have this new function if your function is it scheduling that when to do what to do and then the date rules so what they in the time will state in time basically I am defining what datatype GRE that's about it and then I'm just creating this portfolio right so this is syntax I was saying that when you're learning a language there's a syntax that you have and you're defining each and every symbol good here Asian Paints TCS and then we are saying that should you'll function rebalance so at the month they offset zero so that is when the month is starting and on that date and when the market closed is essentially two or thirty minutes okay what it goes so at that time I will be running this rebalance in this rebalance what it is doing is that fifty was no sportful to belong in each securities are creating a long put for you out here and then I'm sending it out or a target percentage for every security of every symbol over here and which is 1 by 10 so 10 percent that's what that's what I have done here and this is what it is so this is a pinewood strategies of this period that I have taken as full kind of a bull face since 2010 start up 2011 till end of 2019 start up 2020 basically so obviously market have been going up at Pinewood would work in that phase right so so so that's why you have this benchmark which is 50/50 and this is your Bibles portfolio which would have generated huge amount returns over the time now this tells you that okay this is my returns but then alpha the shar-pei go down so all these are performance metrics which you use to evaluate our strategy is doing so so that's there you can do a lot more things in on different platforms what this looks like for people who have a bit of understanding of programming ya can actually write this whole code in a very simple way but someone who has no understanding of programming easier UI where all these things are very defined and it's easier for that person to just drag and drop you know just see that it works you know it is working exactly the way that person is visualizing so I believe people so we are job so we are working on that actually you are going to create that something those nights as well now the idea is simple that we also don't want to restrict the users in terms of what all things you can do I don't want it to be a platform so this is a course but it's got blue shift and we don't want it to be a case where people are coming in and they are only allowed to create certain type of strategies so just taking an indicator based strategies or just candle based strategies and okay these three candles if this happens then you will find it is working I don't know so the results is that most of them it will investors end up losing money right so and I do know that these are very very popular strategies so if I do some correlation probably but I don't have any research to show that but I do know and I do believe that what we have is strength building or alpha generation or basically generating returns or the strategies is something which is very very genius business okay it's not easy thing to do so you will need full amount of leave a full amount of freedom to try different things if you are not able to do that if you are restricted it's going to really limit your capability to create those strategies to create those bidding strategies so that's the thought and that's why our general advice is that if you know if you put your time into learning the techniques which will help you explore unrestrictedly then you got to learn programming and that will really help you so friends what I am getting a sense from this interaction is that if you have learned technical the most logical evolution for you is to start thinking about angle and the most natural thing from technical who is to adopt those standard strategies which is there as part of training for example moving average crossover or every city is a combination there are tools right I am a broker and all those ready tool available which would help a person to graduate and there are certain brokers also who are trying to all these tools so it will give you a good idea ssin okay popularly one should actually go through these structure modules which is like computational finance statistics and everything in a very structured way that over a period of say nine months ten months when parallely you are seeing that side of the market and you are learning also you actually become graduate enough to start coding your own strategies here and real alpha generation will happen once you actually go to this level of market participation right yes yeah so so I think you I as an Institute we have been working on this for quite a long period of time now and there are enough free materials available of course but we we believe that we got to provide the tools and the education as much as free as possible so so the content is something which should be available the basic content especially and that's why we have huge number of resources and materials online so if you if you look at say this quality website if you go to the blog you know I think nearly 400 500 blocks block and very popular right so these blogs have consumed mine nearly I think a million users every year across the globe and I'm glad to say that this is helping people not just from particular regions but this has a viewership in like wooden I think more countries than what you enhance so that's there and then you can also figure out that okay what type what you are looking for automated trading X for X in crypto machine learning or moment or your options trading port for distillation anything for that matter or if you are looking for career growth then do if you want to learn what about industry jobs and skills so all of that can be possible alternatively you can also look at many of the free courses which are available on Contra so if you go to the pulses over here so one broad context e.com yes yes so so these are these are all the different courses if I just check out the the free courses over here so think these are all the free courses that I will I can see her right so some quantity some bits of so there are three courses like introduction to science machine learning for each option trading strategies in Python this is NSC Academy co-authored course by thank for trading basics quant interview question preparation guns free so much a beautiful and these are the key part about to contra is that there are lot of poodles which do that and we don't want to add two things which are already great right so so the but we have the value that we have brought to the table is that these courses are and so on when I say hands-on it's not just we use insuk use but in addition because it's talking about domain which is want an algo trading so it is also talking about Python everything is has pattern in it and in Python it's hands-on so machine will be giving you constraint in the feedback it will be telling you what to code what not to code one or two lines of code in every unit and it will give you feedback what you're doing right what you're doing wrong instantly right and which you can use and move forward and unit by you to end up creating the whole working trading strategy right so so that's the that's the that's the idea about almost all the forces on contra and of course things then you have learning tracks where you can see that whether you get started on trading or refine alphas or machine learning for national markets so training using specific instruments all of those things are possible to do so so they are more of learning tracks where you know that okay a list of things oh this is this is completely self-paced if you are looking for more of the ideas where it would be more of instruction and training then you've got to go to the quantity directly which is executable grant and ethnic training which is six month long instructor-led training online anyone can do from anywhere in any batch typically we have 20 to 40 countries or by submitting in that batch weekends only targeted towards local professionals so that that works that works out well for people who are looking for instructor-led training so someone is teaching you in life people have taken impacted in I think a few thousand people from yeah so we have registered user based on about 180 countries so so that's there and Wow so friends uh I mean the intent was not to sell our programs the intent was to give you a proper road back if you really are serious about I have got reading this is a road map which you have to follow we have already defined the steps which is already defined the steps there is enough free material available there is a practice for this area this blue ship but every once you learn about these things you can come and implement it food here it's freely but it is also free so so much of free manipulating did markets us markets there Wow so this I mean very less reasons to give excuse now that we don't know we don't know we don't know so you have been given enough free resources to actually upgrade yourself so friends I hope you liked this interaction I hope now you know what I'll go trading is all about it is not just about moving average crosswalk right but it's an excellent example to start with because that gives you enough dope to get into that field but really if you want to become a quality I'll go Twitter and generate the kind of built in forms and great you will have to graduate and there is a process through which a graduation is possible so see if you want to adapt this process and become part of this lovely set up that unit age and theme has created for all of us today thank you so much for giving the time we need to close this we thank you so much weaker it was lovely talking to you in this formal setup and and thanks thanks to you and thanks to all of you who have been actually been neighbors in whatever we have been doing so thank you thanks a lot everyone thank you today so friends I hope you liked the video we want to record more videos 20 days and get into deeper into a good reading this was more of making you you know 10,000 square feet height understanding of how every 20 words use these free tools I don't think so anyone in India is doing the kind of work these people are doing it's truly a global product which they have created so you become part of that and destroy the free things graduate and then if you feel like yes you are ready for the paid premium things that you obviously have a full right to buy if you want to if you have not subscribed to our channel you know what to do and if you want to know when the new video is there you know what to do and in case you have any point to me share with us there's a comment please comment we share the link of content ste contribution everything here is go to that website we will request anything is that people who will be writing comments so if you can reply to their comments they shall feel that someone is answering their questions so thank you friends for your attention time I hope to see you again in next video you remember Friday 5 p.m. hash tag is our tag line so every Friday 5 p.m. you should expect a video from us thank you thank you [Music]

Channel: Elearnmarkets by StockEdge

Views: 87,136

Rating: 4.7014141 out of 5

Keywords: Know about Algo trading in 40 minutes, algo, algo trading, algo and quants, algo and quant trading, algo and quant, what is quant trading, systematic trading, trading, algorithms, algorithmic trading, python, python for trading, quantinsti, quantinsti algo trading, quantinsti blueshift, trading model, fundamental analysis, technical analysis, how to do algo trading, how to do quant trading, face2face, elearnmarkets, vivek bajaj, Algo trading in 40 minutes, Know about Algo trading

Id: Eqgh9lWPBjA

Length: 43min 15sec (2595 seconds)

Published: Fri Jan 17 2020