1985472All of AHPI Stockhttps://www.gandhi.com.mx/all-of-ahpi-stock/phttps://gandhi.vtexassets.com/arquivos/ids/414393/3c792e15-35c4-435d-b4be-b7e1f8c43405.jpg?v=638334719129800000402402MXNTAInStock/Ebooks/1944880All of AHPI Stock402402https://www.gandhi.com.mx/all-of-ahpi-stock/phttps://gandhi.vtexassets.com/arquivos/ids/414393/3c792e15-35c4-435d-b4be-b7e1f8c43405.jpg?v=638334719129800000InStockMXN99999DIEbook20231230006668877_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1230006668877_ All of AHPI Stock is a book about the ticker AHPI, Allied Healthcare Products, Inc. traded in the US market of the currency . The book gives mathematical models to predict the AHPI stock price. It helps traders to trade daily. Each formula in the book takes just a few seconds for calculation. The probability of occurrence of predicted prices are given. To make these formulas, the author uses mathematics including probability and statistics, computer algorithms, programming, and big data of the stock price (6459 consecutive trading days from January 14, 1992 to March 24, 2023). The computer program for only this ticker takes more than 11,000 seconds when executed, though the code is efficient. Despite the complexity of the process, for reading, the book does not require any background in mathematics. Its very easy to understand and use the formulas. The book has ten chapters. Chapter 1: Introduction. Chapter 2: Preliminary and Data. This chapter introduces common terminology including Open, High, Low, End, Magnitude. The historical data about the stock in one year (from March 7, 2022 to March 24, 2023) is given. Chapter 3: DX Law. The DX law is an invention of the author based on observations, and inspired from the Buddhist philosophy of causality. "A stock price occurred only one time in the past will occur at least one more time in the future". We make complicated computer algorithms to check the law. The output is presented in this chapter. Furthermore, 500 prices that occurred only one time in the past (from January 14, 1992 to March 24, 2023) are also given. Chapter 4: Magnitude. This chapter provides 12 predictions for magnitude of the stock price in a trading day. Chapter 5: High Price. We introduce 12 predictions for a high price in a trading day. Chapter 6: Low Price. We introduce 12 predictions for a low price in a trading day. Chapter 7: End Price. We introduce 24 predictions for the (end) price at the closing time of the market in a day. Chapter 8: Tomorrow Open Price. We introduce 24 predictions for Tomorrow Open Price (TOP). TOP is the price of the stock at the opening time of the market tomorrow. Chapter 9: Days of Week. We predict the increasing/decreasing of the stock from Monday to Friday. Get ahead of the competition and start making more informed trading decisions today withAll of AHPI Stock...1230006668877_TAlibro_electonico_ea103164-e8ff-3868-97a5-41a2b964555a_1230006668877;1230006668877_1230006668877Ta VietInglésMéxicohttps://getbook.kobo.com/koboid-prod-public/7ce83008-f086-4e60-90c9-c87581dc3ece-epub-ac622414-bd97-45e9-a5c1-9dd3549eb059.epub2023-07-25T00:00:00+00:00TA