The models above are some examples how to use Machine Learning and Artificial Intelligence in different ways to analyze and predict stock prices.
- AI_ForecastWithBacktest -> RandomForest classifier with Nvidia stock and Backtesting the predictions, API
- AI_StockPrediction_TWTR -> LSTM Network to predict Twitter stock prices, CSV
- ChartAnalysis -> Some types of stock analysis like EMA, MACD, Cummulative Returns and Sharpe Ratio with API
- LSTM_Stock_Prediction -> 3 Layer LSTM Network to predict stock prices, with CSV
- NeuronalesNetz -> the basics of creating an neural network (LSTM)
- Simple_NeuralNetwork -> keras layer neural network to detect handwritten numbers
- StockAnalysisPreditctionLSTM -> detailed stock analysis and prediction using the yahoo api