Is it possible to predict stock with machine learning?

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Is it possible to predict stock with machine learning?

So, the prediction of stock Prices using machine learning is 100\% correct and not 99\%. This is theoritically true, and one can prove this mathematically. BUT THE MACHINE LEARNING TECHNIQUES FOR PREDICTION, DOES NOT ABLE TO PREDECT THE PSYCHOLOGICAL FACTORS OF HUMEN , ON THE PRICES OF THE STOCKS and others.

How accurate are Walletinvestor predictions?

Not necessarily a scam.. it just has absolutely no value and is NOT a reliable system for predicting ANY cryptocurrency. If you trust walletinvestor’s predictions you need to believe that top 20 coins on CMC could either devalue by up to -85.630\% in a year or crash altogether.

How can machine learning predict future stock prices?

Google Stock Price Prediction Using LSTM

  1. Import the Libraries.
  2. Load the Training Dataset.
  3. Use the Open Stock Price Column to Train Your Model.
  4. Normalizing the Dataset.
  5. Creating X_train and y_train Data Structures.
  6. Reshape the Data.
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Can machine learning predict the future stock market price?

A comparison of market price and its history to chart patterns for predicting future stock prediction is done in [7]. Machine learning is used in many sectors. One of the most popular being stock market prediction itself. Machine learning algorithms are either supervised or unsupervised.

How do we evaluate the algorithms for predicting the stock market?

We evaluate the algorithms by finding performance metrics like accuracy, recall, precision and f- score. Our objective is to identify the best possible algorithm for predicting future stock market performances. The successful prediction of the stock market will have a very positive impact on the stock market institutions and the investors also.

How accurate are LSTM models in predicting stock prices?

As you can see above, the model can predict the trend of the actual stock prices very closely. The accuracy of the model can be enhanced by training with more data and increasing the LSTM layers. Enhance your skill set and give a boost to your career with the Post Graduate Program in AI and Machine Learning.

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What is the best method for stock price prediction?

There are some mechanisms for stock price prediction that comes under technical analysis [1]: Statistical methods were widely used before the advent of machine learning. The popular techniques are ARIMA, ESN and Regression. The main features of statistical approach is linearity and stationarity.