Look back by 650 Calendar Days to analyze a Ticker's Price & Volume across discovered trading dates:

What Were Recent Headline News?
What Were Price & Volume?
How Did The Day Rank?
Which Quartile Did The Day's Price & Volume Land?
How Were Monthly Price & Volume Averages?
What Were Monthly %Chg Avg. in Price & Volume?
Has Ticker Reached Golden or Death Crosses?
Entity Profile
About TickerDD & The Legend of Murray
Important Disclaimer

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Videos are auto-generated by Bots off drafted, in-progress, observational models. Videos are for Entertainment Purposes only. See IMPORTANT DISCLAIMER below and at the end of each video.

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IMPORTANT DISCLAIMER: This Video and its Content ("Video") is for entertainment purposes only. Absolutely no qualified, accredited, or professional investment and financial advice, information, data, research, product, service or otherwise, are presented, marketed, or offered in this Video. Additionally, no warranty, guarantee, assurance, or factual assertions are offered or stated in this Video. Never use this Video to influence or determine investment or financial decisions. Please consult a qualified licensed professional for your investment and financial needs; do so away from TickerDD and Youtube. Remember that investments are risky, whereby capital losses can occur in full or in excess. TickerDD, an in-progress Framework of Nerdy Data Science & Robotics Stuff, auto-generated this Video strictly for entertainment purposes, as part of an in-progress exercise by a Group of Novices who wants to discover and learn about specific facets of the Market, through trial and error. This Group of Novices are not licensed, accredited, or qualified financial or investment professionals. This Video is only material for entertainment purposes only. This Video, like all Videos uploaded by TickerDD, is only for this Group of Novices' private usage even if Videos are uploaded publicly as the Group leverages Youtube's free disk space. Importantly, TickerDD is not about stocks but is specifically about the discovery, through trial and error, of technologies and data that govern opinionated observational data models as this Group of Novices builds them quickly and iteratively as part of learning). This Video wholly contains opinions and commentaries, even if they were auto-generated. Remember that Bots, Data Models, Data, and Methods may include hidden assumptions, undefined and unrefined variables, as well as errors and unfit approaches - all of which can and will exist in this very Video. Therefore, this Video, by its auto-generation date and time, listed on this slide, and by its sourced and abstracted third-party public data are offered as-is. Your access, view, and share of this Video constitute your acknowledged agreement that this Video is for your entertainment purposes only and that you will not take actions or make decisions off it. As such, you grant full release of claims, directly or indirectly, from your access, view, and share of this Video, against TickerDD and its affiliates. The people and entities, affiliated to the Ticker that is covered in this Video, are not affiliated with this Video and do not endorse this Video.