deep-learning neural-network recurrent-neural-networks lstm neural-networks google-stock-price-prediction Updated Jun 2, 2021 Jupyter Notebook virajbhutada / google-stock-price-forecasting-lstm Star 1 Code Issues Pull requests Analyzing and predicting Google's stock prices through detailed dat...
Google Stock Prices Prediction Using Deep Learning In this paper, we have used Kaggle data of google stock price from the year 2012 to 2016. To predict the stock price of the first two months of ... K Ullah,M Qasim - IEEE International Conference on System Engineering & Technology 被引量...
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Google Historical Stock PricesAnalyzing Historical Stock Data: Price Trends, Volume, and Corporate ActionsData CardCode (1)Discussion (0)Suggestions (0)Dataset Notebooks search filter_listFilters AllYour WorkShared With YouBookmarks Hotness
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selected 3810 adjusted closing prices,and used long short-term memory(LSTM)method to predict the future price trend of the stock.We built a three-layer LSTM model and divided the entire data into a test set and a training set according to the ratio of 8 to 2.The final results show that...
This project focuses on predicting Google stock price on real time data. I used past 10 years worth of historical Google (GOOGL) stock data for training and built an effective model for predicting stock prices and displayed the predictions on webpage using Flask, Kafka and Highcharts....
The antitrust trial also referenced a May 2019 email from Dischler expressing concern about Google missing quarterly revenue targets and exploring strategies to avoid negatively impacting its stock price. A Google spokesperson cl...
The article reports on the volatility of stocks of Google Inc. Investors have speculated that Google will post a strong third-quarter profit. Google shares have rallied 25 percent since the beginning of August 2007 and rose $6.14 to $639.62 in Nasdaq Stock Market 4pm composite trading. Accordin...