What is Evergy's AI and deep learning takes on stock predictions?
We at Evergy takes pride with the AI predictor itself, it mainly contains a lot of codes and models of deep learning in order to make a high accuracy as much as 94% when it comes to prediction with Cryptocurrency stocks, fiat, local and any other stocks that will provide previous data such as high's, lows and prices.
Investment firms, hedge funds and even individuals have been using financial models to better understand market behavior and make profitable investments and trades. A wealth of information is available in the form of historical stock prices and company performance data, suitable for machine learning algorithms to process.
Can we actually predict stock prices with machine learning? Investors make educated guesses by analyzing data. They'll read the news, study the company history, industry trends and other lots of data points that go into making a prediction. The prevailing theories is that stock prices are totally random and unpredictable but that raises the question why top firms like Morgan Stanley and Citigroup hire quantitative analysts to build predictive models. We have this idea of a trading floor being filled with adrenaline infuse men with loose ties running around yelling something into a phone but these days they're more likely to see rows of machine learning experts quietly sitting in front of computer screens. In fact about 70% of all orders on Wall Street are now placed by software, we're now living in the age of the algorithm.
This project utilizes Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices. For data with timeframes recurrent neural networks (RNNs) come in handy but recent researches have shown that LSTM, networks are the most popular and useful variants of RNNs.
LSTM, accuracy 95.693%, time taken for 1 epoch 01:09
LSTM 2-Path, accuracy 94.63%, time taken for 1 epoch 01:39
GRU, accuracy 94.63%, time taken for 1 epoch 02:10
Vanilla, accuracy 91.4686%, time taken for 1 epoch 00:52
LSTM Seq2seq VAE, accuracy 95.4190%, time taken for 1 epoch 01:48
Outliers study using K-means, SVM, and Gaussian on TESLA stock
Overbought-Oversold study on TESLA stock
Multivariate Drift Monte Carlo BTC/USDT with Bitcurate sentiment
Which stock you need to buy?
Note : if you are in doubt with the results, kindly proceed to our live demo and test your own made CSVs from your favorite stock and compare it to the recent or upcoming stock results.
