Stock closing and opening forecasting using Deep neural network and LSTM(technical indicators included)
☆19Oct 22, 2017Updated 8 years ago
Alternatives and similar repositories for stock_price_forecasting_hybrid_model
Users that are interested in stock_price_forecasting_hybrid_model are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Collection of 7 technical indicators for stock-market forecasting☆16Oct 22, 2017Updated 8 years ago
- A detailed study of four machine learning Techniques(Random-Forest, Linear Regression, Neural-Networks, Technical Indicators(Ex: RSI)) ha…☆26Mar 29, 2024Updated 2 years ago
- This project is to practice applying Long Short-Term Memory network in deep learning to predict time series financial data. I selected Am…☆15Jan 3, 2018Updated 8 years ago
- Visualising stock price predictions for several Machine Learning models using DASH, Python☆16Jul 28, 2022Updated 3 years ago
- Apply different deep learning models to limit order book.☆12Mar 6, 2018Updated 8 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- Adaptive Machine Learning-Based Stock Prediction using Financial Time Series Technical Indicators☆10Dec 21, 2019Updated 6 years ago
- 💲entiment Analysis of Tweets & predicting Stock 💹 prices based on user sentiments about # Amazon☆17Nov 15, 2017Updated 8 years ago
- ☆25Jan 5, 2018Updated 8 years ago
- Alpaca-based Order Book Inbalace Algorithm.☆12Jul 23, 2020Updated 5 years ago
- A dataset of financial news is used to fine-tune BERT in order to extract investment opportunities.☆28May 10, 2021Updated 5 years ago
- Low latency high throughput GDAX orderbook analysis engine and trading bot☆13Mar 24, 2018Updated 8 years ago
- LSTM RNN for sentiment-based stock prediction☆66Dec 8, 2017Updated 8 years ago
- Study of price volume data to analyze an order imbalance strategy for Bitcoin on BitMEX platform☆12Dec 31, 2018Updated 7 years ago
- Stock analysis and prediction - fundamental, quantitative, technical analysis and machine learning.☆13May 1, 2023Updated 3 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Web app - FX Trading Simulation and Historic Data Visualisation☆10Jun 29, 2016Updated 9 years ago
- The prediction is based on a recurrent neural network. The list of features includes MACD, Stochastic Oscillator, ATR, RSI etc.☆43Apr 20, 2019Updated 7 years ago
- Option Selling Algorithm built upon the Interactive Brokers Python API☆10Oct 9, 2020Updated 5 years ago
- Use machine learning to trade bitcoin.☆10Jun 10, 2021Updated 4 years ago
- Using the Interactive Brokers API to implement several trade related features☆10Nov 24, 2020Updated 5 years ago
- Deep Trading using Convolutional Neural Network☆30Sep 25, 2017Updated 8 years ago
- In this repository, based on the latest NLP pappers, we researched on sequential data and time series and developed tasks in NLP such as …☆13May 11, 2024Updated 2 years ago
- 📈This repo describes a framework that leverages sentiment stability of a financial 10-K report as the trading signal (alpha factor)☆13Dec 4, 2020Updated 5 years ago
- LSTM based stock prediction model which also uses twitter data for sentiment analysis☆14Dec 8, 2022Updated 3 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Predicting WTI index using LSTM 2021/06/31☆10Oct 4, 2023Updated 2 years ago
- An interactive jupyter notebook to help you screen your stocks☆10Apr 21, 2018Updated 8 years ago
- This is a sentiment trading strategy, written in Python, and applying NLP on 10-K's from the SEC EDGAR database.☆11Feb 21, 2022Updated 4 years ago
- An Empirical Study of Optimal Combination of Algorithms for Prediction-Based Portfolio Optimization Model using Machine Learning over Co…☆11Jun 15, 2022Updated 3 years ago
- Twitter Sentiment Analysis for the top 10 cryptocurrencies on CoinMarketCap☆11Nov 9, 2018Updated 7 years ago
- Channel break out strategy for High Frequency Trading.☆15Jun 26, 2018Updated 7 years ago
- In this work, we compared the predictive capabilities of six different machine learning algorithms - linear regression, random forest, ex…☆16Sep 21, 2020Updated 5 years ago
- This repository contains an automated trading system using machine learning for stock return prediction, position sizing and generating e…☆14Jun 15, 2019Updated 6 years ago
- LSTM stock prediction and backtesting☆14Jan 11, 2020Updated 6 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Backtesting fbprophet prediction of Silver prices for 2017☆14Nov 29, 2017Updated 8 years ago
- Momentum following strategies and optimal execution cost upon Implement Shortfall algorithm☆16May 2, 2019Updated 7 years ago
- ☆12Nov 19, 2018Updated 7 years ago
- Applying NLP framework to 10-K filings in equity markets☆15Jul 26, 2021Updated 4 years ago
- Compilation of technical analysis tools (EMA, Bollinger bands), fundamental analysis, machine learning models (LSTM, Random forest, ARIMA…☆15Aug 9, 2021Updated 4 years ago
- A module for a bot trading the virtual currency.☆27Feb 10, 2017Updated 9 years ago
- Fetch data (futures, stock, coming next => options) from IBKR for local use.☆19Mar 23, 2021Updated 5 years ago