Dozer82

@FINRA 's MMAT recent BK response/filling (March 27th) states an estimated 2.5 terabyte of trading data for #MMAT / #MMTLP. They called this BURDENSOME. At first glance perhaps this may look like a big, scary dataset... But lets take a closer look... I found an enlightening video from an @AWS 2023 event and sharing below, "Exhibit A", in FINRA's own words (that's the fun part): youtube.com/watch?v=NUnqEW… The main topic of this video is FINRA CAT's (Consolidated Audit Trail) journey in managing massive data volume and complexity, specifically how they transitioned from traditional Big Data to a massive exabyte-scale architecture on AWS to ensure market integrity and regulatory compliance (0:01-3:58). The speakers in this presentation are: - Leah Crawford: Principal Customer Solutions Manager with AWS (0:05) - Scott Donaldson: Chief Technology Officer of FINRA CAT (1:26) and - Steven Diamond: Senior Director of FINRA CAT engineering and operations (1:33) The video highlights several ways FINRA CAT ensures data integrity: 1. Semantic Validation: The system runs semantic validations as data is received to ensure the accuracy and quality of the submission (11:30 - 11:35). 2. Feedback Mechanism: CAT identifies errors and incongruities in the data and reports them back to the firms, allowing them to correct and resubmit data (11:35 - 11:45). 3. Source of Record: Amazon S3 is used as the ONLY source of truth for data storage, ensuring security and resilience (12:03 - 12:12). 4. Linkage Processing: The system processes data to piece together the ENTIRE lifecycle of an order, which helps identify missing records or issues across. According to the video, FINRA CAT is responsible for building a single source of TRUTH for all U.S. equity and options trading data. This data is made available to the SEC, FINRA, and other regulatory organizations to identify fraudulent or manipulative activity (38:07 - 39:29). According to the video, FINRA CAT handles LATE trade reports by allowing firms to submit them at ANY point over the reporting horizon, which can span multiple YEARS (9:22 - 9:28). The system is designed to manage this data skew, as they have received trade reports for over 800 different trade dates on a SINGLE day (9:28 - 9:35). QUESTIONS: 1. The math basically seems to suggest that FINRA can deliver 2.5 terabyte of CAT data by LUNCH today... that is about 2.5 to 2.7hrs of work done by a computer. Do you think this is BURDENSOME? 2. why would does FINRA allow trade reports to be filed late? 3. What happens when one of their members files their report late for e.g. by 1 month or by 10 years (yes actual cases)? Are the two late cases treated the same? 4. If a firm files late (or hasn't filed yet) how is compliance enforced? What are the current stats for missing reports, and why do firms keep ignoring their duty to file. 5. You discuss in the video how the FINRA CAT system was designed to manage and receive trade reports for over "800 different trade dates" on a SINGLE day. Do you still believe that the Trustee's request for 161 trading dates for just a couple of stock symbols is BURDENSOME? #MarketIntegrity

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@Art_is_Superb @busybrands @JohnnyTabacco @HAMShortkiller Did some calculations back in December of 2022 showing how high $MMTLP could run in an appears to apples comparison to Overstock. With 400 million shares naked shorted MMTLP would have reach pps of $1,877

$GTii sometimes dividends take time to force a squeeze. Below you can check out overstocks timeline. tradingview.com/chart/OSTK/otn…

$GTII. Read up what @JohnW_Forster said. $ITHR. Will be his home with his company. But will work out something to help shareholders here also Best of luck John and iam here to help.