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Stock data is known to be chaotic in nature and it is a challenging task to predict the non-linear patterns of such data. Forming an optimal portfolio of s
Such information is available to people through microblogs and news and predicting stock price merely on historical data is hard. The high volatility emphasizes the importance to check the effect of external factors on the stock market. In this paper, a machine learning model is proposed where ...
Next, we evaluate the performance of the proposed method based on the China stock market, ranging from January 1, 2016, to December 31, 2016. There are totally 244 trading days and each day contains 242-minute intervals, corresponding to 59048 time points. These stocks selected for the experi...
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About a week before the election, Crane purchased some Trump contracts at a couple of the prediction markets — he’d rather not say which ones — at 58 cents each. Another popular prediction market, PredictIt, foresaw a dead heat, pricing Trump contracts just 1 cent higher than tho...
On the stock market graphs have been invented EVERY possible way to predict the stock market, with mixed results, making clear the difficulty of predicting human behavior. These indicators indicate where to buy and sell, there are many beliefs about them (we mean in beliefs, because if they ...
C:\Users\thund\Source\Repos\stock-prediction-deep-neural-learning>python download_market_data_info.py Info { "52WeekChange": 0.26037383, "SandP52WeekChange": 0.034871936, "address1": "1600 Amphitheatre Parkway", "algorithm": null, "annualHoldingsTurnover": null, "annualReportExpenseRatio": null...
The novelty of our proposed solution is that we will not only apply the technical method on raw data but also carry out the feature extensions that are used among stock market investors. Details on feature extension are given in the next subsection. Experiences gained from applying and optimizing...
TheS&P 500index may have just hit another record high, but there has been an even better place to put your investment dollars. Over the past five years, the total return from GPS navigation and wearable technology leaderGarmin(NYSE:GRMN)has trounced that of the popular stock index...