Code implementation of "SENN: Stock Ensemble-based Neural Network for Stock Market Prediction using Historical Stock Data and Sentiment Analysis"
☆76Oct 7, 2020Updated 6 years ago
Alternatives and similar repositories for SENN
Users that are interested in SENN are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Stock market prediction of a stock using stacked LSTM☆10Jun 7, 2020Updated 6 years ago
- An attempt to implement the idea behind this paper: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0212320☆21Sep 12, 2021Updated 5 years ago
- In this repository i created many data scince - machine learning projects like(Deep dream,weather prediction,Movie recommender system etc…☆45May 19, 2023Updated 3 years ago
- PyTwits is a REST-API Wrapper for StockTwits.☆15Dec 8, 2020Updated 5 years ago
- This project is essentially the implementation of the paper “Algorithmic Financial Trading with Deep Convolutional Neural Networks: Time …☆23Sep 22, 2020Updated 6 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- The random forest, FFNN, CNN and RNN models are developed to predict the movement of future trading price of Netflix (NFLX) stock using t…☆62Oct 12, 2021Updated 5 years ago
- ☆16Oct 25, 2020Updated 5 years ago
- I propose here several algorithmic trading strategies on diverse asset classes☆15Jan 12, 2021Updated 5 years ago
- Automated trading bot with Functional GUI using an integrated deep learning model to predict stock prices and flag buy and sell periods.☆13Jul 10, 2021Updated 5 years ago
- Facebook's stock market price prediction using Recurrent Neural Network with LSTM☆17Aug 3, 2021Updated 5 years ago
- Usage of policy gradient reinforcement learning to solve portfolio optimization problems (Tactical Asset Allocation).☆35Apr 25, 2019Updated 7 years ago
- This project is a loose implementation of paper "Algorithmic Financial Trading with Deep Convolutional Neural Networks: Time Series to Im…☆168Jul 12, 2020Updated 6 years ago
- This is a curated list of all my posts on LinkedIn regarding Data Science, which I publish daily.☆33Nov 12, 2020Updated 5 years ago
- Conversion of the time series values to 2-D stock bar chart images and prediction using CNN (using Keras-Tensorflow)☆42Jan 9, 2023Updated 3 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Intra day Stock Prediction 10 minutes into the future☆109Jun 16, 2019Updated 7 years ago
- Reproduction of code described in the paper "Stock Market Prediction Based on Generative Adversarial Network" by Kang Zhang et al.☆28Jun 12, 2020Updated 6 years ago
- Stock Market Prediction on High-Frequency Data Using soft computing based AI models☆21Sep 6, 2024Updated 2 years ago
- Estimating driver safety on Pointer's dataset☆10Jun 27, 2018Updated 8 years ago
- In this project, we implement and compare the performance of several machine learning and deep learning algorithms in predicting the US s…☆57Dec 29, 2020Updated 5 years ago
- This repository contains our project on Stock Market Price prediction Using Historical Data☆12Apr 25, 2021Updated 5 years ago
- Repository for Going Deeper with Convolutional Neural Network for Stock Market Prediction☆142Jun 17, 2024Updated 2 years ago
- Use total, upper, down, relative volatility factors to find Alpha. Implement whole trading process & back-test with visualization.☆13May 30, 2021Updated 5 years ago
- Algorithmic Financial Trading with Deep Convolutional Neural Networks: Time Series to Image Conversion Approach: A novel algorithmic trad…☆137Jun 7, 2021Updated 5 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Stock Market predictions are one of the most difficult problems to solve, and during the looming days of recession it’s extremely difficu…☆15Sep 2, 2020Updated 6 years ago
- Forecasting directional movements of stock prices for intraday trading using LSTM and random forest☆558Jul 12, 2021Updated 5 years ago
- Use random forest, svm, decision tree, naive bayes to classify the wine quality in Python☆12Dec 8, 2018Updated 7 years ago
- A simply framework of researching stock data through LSTM by Tensorflow☆19Mar 4, 2019Updated 7 years ago
- Reproduce research from paper "Predicting the direction of stock market prices using random forest"☆122Apr 15, 2018Updated 8 years ago
- Implementation of code snippets and exercises in the book Machine Learning for Asset Managers written by Prof. Marcos López de Prado.☆16Sep 10, 2020Updated 6 years ago
- Example utility to source Vault secrets into a CICD job environment.☆13May 16, 2023Updated 3 years ago
- robotRay is a python robo trader bot for several strategies including: 1) naked puts based on a simple vega crush algo, 2) golden cross. …☆14Aug 27, 2021Updated 5 years ago
- ☆10Nov 8, 2021Updated 4 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- NYU Tandon Machine Learning and Finance Fall 2022☆11Dec 13, 2022Updated 3 years ago
- This project scrapes web pages and creates a public opinion ticker for stock symbols☆11Sep 15, 2020Updated 6 years ago
- Stock trading strategies play a critical role in investment. However, it is challenging to design a profitable strategy in a complex and …☆50Dec 6, 2021Updated 4 years ago
- manipulating cointegrated pairs to achieve a market-neutral strategy that outperforms indices☆11Jan 12, 2021Updated 5 years ago
- public version of MLFINLAB from Hudson-Thames☆26Jan 6, 2022Updated 4 years ago
- A portfolio optimization framework leveraging Deep Reinforcement Learning (DRL) and a custom trading environment☆13Aug 12, 2020Updated 6 years ago
- Used to trade stocks automatically on the broker Webull based on your preferred algorithm alerts from TD Ameritrade's platform Thinkorswi…☆21Oct 25, 2021Updated 4 years ago