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I have been able to predict the result through single input, such as stock data, and forecast the following data through input of the closing price of the stock. Such prediction effect is not good, so…
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## 💥 Proposal
Machine learning models can learn the pattern of stock price and how it is changing with time and based
on this learning it can predict the value of a stock.
I will use different …
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Hi,
I was very impressed with the result of prediction graph of IBM but than i noticed that actual prediction is going after next day of actual data, so i decide to print out some piece of data with …
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- [ ] ARIMA
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At present, this code is the model I used in the study of stock price regression prediction. The current accuracy is not high, the code still has bugs, and the documentation is not well written. I hop…
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http://www.jcreview.com/fulltext/197-1592985867.pdf
Another article going through an example of an ANN being used to predict stock prices. Very good background info on ANN and Deep learning.
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This is a very good code that I have successfully run. I have written a prediction code and I am not sure if it is correct. Additionally, if I have new data, how should I handle it? Can I turn this in…
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# Stock Price Prediction 문제를 Segment Tree 없이 풀기 | Cube219's Blog
2021 ICPC Seoul Regional에서 K번으로 Stock Price Prediction이라는 문제가 나왔다. 실제 대회에서는 못 풀었는데, 알고보니 최근에 비슷한 문제 (BOJ 20298 - 파인애플 피자, BOJ 3308 - M…
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Objective: Apply a traditional approach using different models such as Auto Regression, Moving Average, Random walk to do time series analysis on different stock datasets and prediction for the datas…