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This is the code for "AI in Finance" By Siraj Raval on Youtube
Deep learning models predicting the Bitcoin stock using technical stock market indicators and google news article sentiments
Keras tutorial for beginners (using TF backend)
Forecasting the dynamics of financial time series using machine learning methods (Прогноз динамики финансовых временных рядов с помощью методов машинного обучения)
How to Predict Stock Prices Easily - Intro to Deep Learning #7 by Siraj Raval on Youtube
LSTM-RNN Tutorial with LSTM and RNN Tutorial with Demo with Demo Projects such as Stock/Bitcoin Time Series Prediction, Sentiment Analysis, Music Generation using Keras-Tensorflow
價格走勢相關研究
Implementation of stock technical indicators and deep LSTM for closing price 30-day lookahead predictions.
The prediction is based on a recurrent neural network. The list of features includes MACD, Stochastic Oscillator, ATR, RSI etc.
I scrape the news data using webhose.io and stock price data using nsepy. then I labelled the data using information about rising or fall in prices corresponding to news scraped for that day. For the word embeddings, I used GloVe provided by Stanford University. I used stop words from NLTK to remove sentence fillers that do not change the context. Then I used TF-IDF to remove the words that provide the least information. then I used LSTM to map any time-dependent relations in the data set and predicted if a user should "buy" or "sell" the share and with what confidence based on today's news events.
Stock Market Prediction Using Neural Network Models (Backpropagation, RNN LSTM, RBF) using keras with Tensorflow backend
Data and Notebook for the Stock Price Prediction Tutorial
Stock Price Prediction using Machine Learning Techniques
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