lucko515 / tesla-stocks-prediction
The implementation of LSTM in TensorFlow used for the stock prediction.
☆59Updated 5 years ago
Alternatives and similar repositories for tesla-stocks-prediction:
Users that are interested in tesla-stocks-prediction are comparing it to the libraries listed below
- Stock analysis/prediction model using machine learning☆188Updated 7 years ago
- Repository for Going Deeper with Convolutional Neural Network for Stock Market Prediction☆135Updated 9 months ago
- CNN for stock market prediction using raw data & candlestick graph.☆163Updated 5 years ago
- LSTM RNN for sentiment-based stock prediction☆64Updated 7 years ago
- Stock price trend prediction with news sentiment analysis using deep learning☆71Updated 7 years ago
- This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.☆306Updated 4 years ago
- The random forest, FFNN, CNN and RNN models are developed to predict the movement of future trading price of Netflix (NFLX) stock using t…☆60Updated 3 years ago
- An intelligent recommender system for stock analyzing, predicting and trading☆141Updated 3 years ago
- Stock price prediction using LSTM and 1D Convoltional Layer implemented in keras with TF backend on daily closing price of S&P 500 data f…☆142Updated 7 years ago
- Implemented Recurrent Neural Networks in Keras with candlestick stock price information to predict future price movement.☆54Updated 8 years ago
- Reinforcement Learning Script that trades Equities from Yahoo Finance☆77Updated 5 years ago
- implementation of WSAE-LSTM model as defined by Bao, Yue, Rao (2017)☆79Updated 2 years ago
- Machine learning in Python for stock market and forex market predictions (fully functional)☆56Updated 6 years ago
- Algorithmic trading using machine learning.☆113Updated 7 years ago
- Automate swing trading using deep reinforcement learning. The deep deterministic policy gradient-based neural network model trains to cho…☆70Updated 7 years ago
- Stock Market Prediction Using Unsupervised Features☆54Updated 6 years ago
- This project is a loose implementation of paper "Algorithmic Financial Trading with Deep Convolutional Neural Networks: Time Series to Im…☆168Updated 4 years ago
- Novice's attempt for Stock Prices Prediction & Portfolio Optimization using Machine Learning with Python & Scikit Learn☆56Updated 3 years ago
- Smart Algorithms to predict buying and selling of stocks on the basis of Mutual Funds Analysis, Stock Trends Analysis and Prediction, Por…☆211Updated 5 years ago
- Predicting stock price using historical data of a company, using Neural networks (LSTM).☆154Updated 5 years ago
- Stock Fundamental Analysis using Machine Learning Classification Models☆103Updated 3 years ago
- This program trains an agent: StarTrader to trade like a human using a deep reinforcement learning algorithm: deep deterministic policy g…☆108Updated 5 years ago
- Implementing a Generative Adversarial Network on the Stock Market☆121Updated 3 years ago
- A machine learning program that is able to recognize patterns inside Forex or stock data☆151Updated 5 years ago
- This project explores stock trading modelling with the use recurrent neural network (RNN) with long-short term memory (LSTM) architecture…☆26Updated 5 years ago
- ☆125Updated 6 years ago
- Analyzing stock market trends using several different indicators in quantum finance. I explore machine learning and standard crossovers t…☆100Updated last year
- Try to predict stock price with LSTM、GAN and DRL, exploring the features of news and technical indicators，which help improving perfomance…☆92Updated 5 years ago
- In this project, I have tried to predict the stock price of Microsoft using LSTM☆17Updated 6 years ago
- Using deep actor-critic model to learn best strategies in pair trading☆315Updated 7 years ago