farismismar / Stock-Prediction
Implementation of stock technical indicators and deep LSTM for closing price 30-day lookahead predictions (for learning purposes only).
☆28Updated 2 years ago
Alternatives and similar repositories for Stock-Prediction:
Users that are interested in Stock-Prediction are comparing it to the libraries listed below
- This project explores stock trading modelling with the use recurrent neural network (RNN) with long-short term memory (LSTM) architecture…☆28Updated 5 years ago
- ☆36Updated 3 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
- ☆188Updated last month
- A Streamlit based application to predict future Stock Price and pipeline to let anyone train their own multiple Machine Learning models o…☆84Updated 5 months ago
- ☆92Updated last year
- Stock market forecasting using the ARIMA model.☆47Updated 3 years ago
- A python script that estimates the support and resistance lines of a stock's prices or a period☆71Updated 3 years ago
- Using Unsupervised learning, K-means, to determine stock support and resistance levels. Great for trading algorithms/bots using time seri…☆104Updated 3 years ago
- ☆57Updated last year
- Find trading pairs with Machine Learning☆41Updated 3 years ago
- Stock trading strategies play a critical role in investment. However, it is challenging to design a profitable strategy in a complex and …☆36Updated 3 years ago
- Pair Trading Strategy using Machine Learning written in Python☆113Updated 2 years ago
- In this project, I have tried to predict the stock price of Microsoft using LSTM☆17Updated 5 years ago
- Research and Backtests I have been working on...enjoy☆70Updated 3 years ago
- A financial trading method using machine learning.☆59Updated last year
- This program trains an agent: StarTrader to trade like a human using a deep reinforcement learning algorithm: deep deterministic policy g…☆107Updated 5 years ago
- ☆73Updated 7 months ago
- XGBoost is known to be fast and achieve good prediction results as compared to the regular gradient boosting libraries. This project atte…☆30Updated 5 years ago
- Implementing a Generative Adversarial Network on the Stock Market☆122Updated 2 years ago
- A detailed study of four machine learning Techniques(Random-Forest, Linear Regression, Neural-Networks, Technical Indicators(Ex: RSI)) ha…☆23Updated 9 months ago
- A machine learning program that is able to recognize patterns inside Forex or stock data☆149Updated 4 years ago
- trading strategy is a fixed plan to go long or short in markets, there are two common trading strategies: the momentum strategy and the …☆57Updated 4 years ago
- Visual style support and resistance detection using Python code☆62Updated 5 years ago
- Source code from the youtube video☆77Updated last year
- High Frequency Pairs Trading Based on Statistical Arbitrage (Python)☆101Updated 5 years ago
- Repository for Going Deeper with Convolutional Neural Network for Stock Market Prediction☆132Updated 7 months ago
- In this project, I had backtested the cross-over trading strategy on Google Stock from Jan 2016 to June 2020. By using historical time-se…☆43Updated 4 years ago
- Analyzing stock market trends using several different indicators in quantum finance. I explore machine learning and standard crossovers t…☆100Updated last year