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If this is your first time here,
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welcome. My name is Vive and I'm a
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financially independent algo trader.
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This channel is all about building a
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community of algo traders. We discuss
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everything about a trading using Python,
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building and practicing trading
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strategies, market updates, and much
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more. Please do visit our community
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website fabtrader.in. Also do check out
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my other YouTube channel Fabe where I
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talk 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 you.
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Previously, I had uploaded this video
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about downloading NCS data from the new
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NSE website using Python. If you haven't
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watched this video, please do so. You
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might ask, there are already a number of
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Python packages that download NC data
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and do we really need another one?
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Right? Well, there is a real need for
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it. I I'll explain why. NYSE, as you
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know, constantly update their website
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and due to this, the API endpoints keep
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changing. However, most of the Python
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packages that you see on GitHub don't
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keep up with these updates. So either
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most of the packages stopped working
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already or 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
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I'll put this utility together as part
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of my commitment towards this community.
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I'm not only going to keep the script
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updated with any changes to the NC
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website, but I'll also keep enhancing it
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to include other new things in
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future. To that effect, in my earlier
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video, I had asked if you would like to
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see any additional functionalities added
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to this utility. One of our subscribers,
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Prasad, had commented and suggested a
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few items. So Prasad, this video is for
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you. I will start rolling out those new
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items that you ask for one by one. Uh in
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this video I'll cover corporate
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announcements. I've updated the script
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to download corporate announcements from
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NSE website and I'll quickly walk you
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through the updates. This is the
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corporate announcement web page on uh
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NSE website. Um I know I mean staying up
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to date with corporate announcement is
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crucial for some of the traders and
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investors. So they they typically follow
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uh this particular page to understand
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news about earning reports, mergers and
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acquisitions or regulatory filings
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because all of these have a direct
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impact on the the price of the stock.
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Although I do not directly use this data
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in any of my algos, I've seen some of my
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friends use it extensively. Uh they use
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it either for sentiment analysis or
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sometimes they even have event-driven
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trading strategies based on corporate
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announcements. So they use that for that
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purpose. In this video, we'll take a
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quick look at the utility which can
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download this particular information uh
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using Python. And let me quickly walk
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you through the code. Now, as usual,
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I'll provide the link to where this
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particular code is available. It's
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available on our community website
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fabra.in. Um this is the main utility
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file the the class file where all the
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utility functions are defined methods
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are defined and this is the the sample
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program on how to get corporate
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announcement data. Right? So as usual
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you import the NS utility which is this
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file and then you create an instance of
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the the NS utility called the nse and
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then you can use nse and then invoke
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this method which is get corporate
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announcements and then when you run it
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it downloads whatever you see on the
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website. Uh so it also provides you a
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link and if you click it it opens up
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that PDF uh for the announcement. So
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this is one way of doing it or if you
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want to when you run this it runs for
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the last 1 month this the default period
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of 1 month but if you want it for a
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specific period then you can provide the
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start and the end date and then it'll
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it'll download all announcements that
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were done between these two uh time
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frame and you'll have the output in a
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pandas data frame. So you can use this
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utility for example you can have a small
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script that will run this at the end of
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every day and then extract all
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announcements for that particular day
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and either send it to your telegram
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account or you could send it even to
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your email on a daily basis. So you can
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do it that way. If you if you want me
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to, you know, kind of do that for you,
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uh maybe show you in one video how to do
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that, uh please leave a comment and then
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I'll definitely try and get that done.
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So that's pretty much it for this video.
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Uh I have a few more enhancements that
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I've done for this uh utility which I'll
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be covering in the videos to come. I
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hope you like this. If there are any
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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
