%% Don't forget ,the great reset.Amazing it started much earlier than most figured; gov Youngkin of VA. Good reset , that may not have what the globalist had in mind for ''great reset''?? LOL. Good investment banker.......................................................
youtube.com/watch?v=lMjuvem8U00 Conspiracy americans who funded hitler - https://www.dogpile.com/serp?q=Conspiracy+americans+who+funded+hitler
"I am a "conspiracy theorist". I believe men and women of wealth and power conspire. If you don't think so, then you are what is called "an idiot". If you believe stuff but fear the label, you are what is called "a coward"." -Dave Collum If you don't think the wealthy and powerful meet and develop secret plans, you've got just about zero understanding of world history. Whether it's the death of Julius Caesar, Michael Collins and the IRA, or the faking of the Gulf of Tonkin incident, conspiracies have been a major factor in shaping the world for thousands of years.
I agree with you. Everything that has happened or is happening in the world feels like a conspiracy at this point.
Them even using the word "denialist" is a gaslighting trick to turn you away from asking critical questions. How come they never call anyone a LIAR? Instead, they throw out childish names that simply makes fun of the person pointing out the bullshit instead of proving them wrong. And, if we're being honest, those steps listed is exactly what the establishment themselves does. They continuously move the goalpost and will ruin the careers of any professional who doesn't tow the official party line. Also, never mind the fact that the direction the world is moving has been written about as a warning for more than a century. As the warnings of those authors come into fruition, I'm supposed to believe that it's all a coincidence?
V. CONCLUSION In this work, we presented how to predict and detect illegal insider trading proactively (before the official news is released) by analyzing heterogeneous sources of structured and unstructured data. We also showed an effective way (i.e., tree-based visualizations) to intuitively represent the unstructured data to the analyst for better understanding and a possible reduction of the search space. We targeted com- panies that were identified by our tree-based visualizations and also identified as prominent illegal-insider trading cases by the SEC. For the targeted companies, from the parsed litigation and historical stock data, we discovered the illegal insider trading patterns (anomalous pattern). Later we used LSTM RNN to predict the stock transaction volume using three approaches. After that, we used our proposed algorithm to see whether any of the time spans (actual or predicted) match with the discovered anomalous patterns. We found that our algorithm has a good success rate in detecting an anomalous pattern from both the affected and non-affected companies. One limitation of this research is that we were not able to compare our result with any similar state-of-the- art work because our work is the first work (to best of our knowledge) in detecting specifically illegal insider trading from true litigation cases. A future direction of this research is trying the prediction and detection part with a larger number of companies to see its effectiveness. In addition, test and compare the prediction part of this work with some other algorithms (e.g., GAM, ARIMA) that work well with time series prediction. Nominated for Journal Articles: Best Introduction - https://arxiv.org/pdf/1807.00939.pdf https://awesomeopensource.com/proje...tion-and-Prediction-Technique-in-Stock-Market ...we're so happy we can hardlyy count! www.youtube.com/watch?v=y7va_u72LVU&list=RDy7va_u72LVU&start_radio=1&t=1s