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if this is your first time here welcome
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my name is Vive and I'm a financially
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independent Alo Trader this channel is
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all about building a community of Alo
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Traders we discuss everything about Alor
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trading using python building and
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practising trading strategies Market
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updates and much more please do visit
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our community website Fab
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trader.net Channel Fab we where I talk
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about my own Financial Independence
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journey and share tools methods and
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strategies that help me achieve my
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Financial Freedom thank
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you previously I had uploaded this video
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about downloading NSE data from the new
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NSE website using python
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if you haven't watched this video please
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do so you might ask there are already a
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number of python packages that download
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Inc data and do we really need another
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one right well there is a real lead for
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it I I'll explain why NC as you know
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constantly update their website and due
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to this the API end points keep changing
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however most of the Python packages that
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you see on GitHub don't keep up with
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these updates so either most of the
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packages stopped working already or
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don't have do not have all the
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functionalities that we normally look
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for and that's the reason I thought I'll
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put this utility together as part of my
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commitment towards this community I'm
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not only going to keep the script
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updated with any changes to the NSC
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website but I'll also keep enhancing it
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to include other new things in future in
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this video I'll talk about one of the
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recent announcements I made to the
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utility and it's all about fetching the
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insider trading or sometimes it's called
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the promoter trading data from NSC
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website um so what is this insider
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trading data and uh you know let's take
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a deeper look every Trader looks for an
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edge some sort of an information that
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will help him give him or her an
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advantage over others in making better
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returns right so some people use
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fundamental analysis and some use
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technical analysis to get this Edge
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however those alone is not going to be
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enough right uh it is exactly at this
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point in time the Ina the insider
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trading disclosures come into play as
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you might know the NSE has strict
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regulations around insider trading and
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it is mandatory for promoters or
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directors or any significant
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shareholders uh to declare their buying
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or selling of their own company stocks
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right um so so you might ask why is this
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information so significant what does it
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mean for me well this information is
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crucial because it gives you the smart
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money signals usually uh the inside know
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something about the company that we
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public don't know much about so by
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watching carefully what they are doing
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you can Teem a lot of insights on where
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that particular stock is going to go not
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just that there are a number of Clues
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and insights you could get from this
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data and I know for a fact because most
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of my friends who are into fundamental
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analysis and long-term investing use
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this data like gold to keep this length
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of the video overall short I I will
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refrain from talking about the intricate
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details on how to use this details um
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I've already covered that uh in detail
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in the blog article so I urge you to you
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know kind of go through this uh and I'm
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sure that you won't be disappointed it
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has a lot of information on how to use
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this data effectively in your decision-
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making so I'm hoping this particular
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update will be useful to people who
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specifically look for this type of data
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in this video I'll share with you the
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simple python script um that that can
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download this data from the NSE
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website let's now jump into the python
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utility um don't have to worry all of
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this is already provided in the blog you
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can simply copy this code and uh use it
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as you wish uh the script has there are
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two main scripts here uh the NS utility.
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Pi this is the the main script
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which contains the the class and all the
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functions that download various data
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from the NSE website and uh this sample
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is just to explain to you how the
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insider trading data can be downloaded
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so all you need to do is just import the
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NS utility first of all this this
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particular file you just need to copy
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this as NS utility. Pi within your
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Source route once that is done all you
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need to do is just import that file and
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you create an instance of the class
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which is NSE uh which is part of the the
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this is the class and this is the
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instance that is created once that is
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created rest is all simple all you need
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to do is just type NSE Dot and then
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invoke this particular method which is
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get inside a trading and then when you
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run the script you get the entire pandas
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data frame which is what you actually
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see on the NSE website right so this
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contains all the information that you
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need on insider trading so there are two
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variations one is if you don't give any
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parameters and then if you download it
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downloads the last 30 days worth of uh
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you know insid trading data uh whereas
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you can also give a specific start and
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an end date and it'll only provide you
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data within this particular date range
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so these two options are available for
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you so that that's pretty much it for
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this video uh I have a few more
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announcements that I've done for this uh
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utility which I'll be covering in the
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come I hope you like this if there are
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any comments feedbacks or suggestions
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please do leave a comment and uh I'll
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see you in the next video thank you if
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you genuinely found this video useful
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please consider subscribing and liking
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the video and I will see you soon in
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another video and until then take care
