Ik1701_fyp

Stock Market Prediction with Social Media and News Data through a Deep Learning Model
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Stockpredictionai3,235
2 years ago320
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
Tensorflow For Stock Prediction411
8 years ago4Jupyter Notebook
Use Tensorflow to run CNN for predict stock movement. Hope to find out which pattern will follow the price rising.
Cnn For Stock Market Prediction Pytorch64
5 years ago1Python
CNN for stock market prediction using raw data & candlestick graph.
Stock Price Trade Analyzer60
9 months ago1gpl-3.0Python
This is a Python 3.0 project for analyzing stock prices and methods of stock trading. It uses native Python tools and Google TensorFlow machine learning.
Going Deeper With Convolutional Neural Network For Stock Market Prediction46
5 years ago6apache-2.0Python
Repository for Going Deeper with Convolutional Neural Network for Stock Market Prediction
Nlp Stock Prediction34
5 years agoJupyter Notebook
Timeseries2dbarchartimagecnn28
a year agoPython
Conversion of the time series values to 2-D stock bar chart images and prediction using CNN (using Keras-Tensorflow)
Senn23
4 years agomitJupyter Notebook
Code implementation of "SENN: Stock Ensemble-based Neural Network for Stock Market Prediction using Historical Stock Data and Sentiment Analysis"
Neuroevolutionmarkettrader19
2 years agoJupyter Notebook
Neuro evolution agent to buy and sell stocks atumatically
Cnn Ta18
3 years ago2Java
Algorithmic Financial Trading with Deep Convolutional Neural Networks: Time Series to Image Conversion Approach: A novel algorithmic trading model CNN-TA using a 2-D convolutional neural network based on image processing properties.
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