Repository for Going Deeper with Convolutional Neural Network for Stock Market Prediction
☆140Jun 17, 2024Updated last year
Alternatives and similar repositories for Going-Deeper-with-Convolutional-Neural-Network-for-Stock-Market-Prediction
Users that are interested in Going-Deeper-with-Convolutional-Neural-Network-for-Stock-Market-Prediction are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Deep Trading using Convolutional Neural Network☆30Sep 25, 2017Updated 8 years ago
- machine learning trading system using random decision tree to train the technical indicators☆10Apr 11, 2017Updated 8 years ago
- This is a Machine Learning project using Convolutional Neural Network to predict the stock price. It is done after a project article by A…☆42Jun 30, 2021Updated 4 years ago
- ☆23Aug 20, 2020Updated 5 years ago
- Stock market prediction using Keras☆31Feb 20, 2026Updated last month
- 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.
- Reproduce research from paper "Predicting the direction of stock market prices using random forest"☆119Apr 15, 2018Updated 7 years ago
- manipulating cointegrated pairs to achieve a market-neutral strategy that outperforms indices☆12Jan 12, 2021Updated 5 years ago
- Implementing a Generative Adversarial Network on the Stock Market☆121Feb 24, 2022Updated 4 years ago
- A program to predict the stock market. ML Algorithms: Random Forest, Decision Trees ans also a CNN (TensorFlow) were implemented and thei…☆19Dec 30, 2018Updated 7 years ago
- Stock risk premium prediction via FM/ EXT/ GBDT/ XGB/LBGM. Mengxuan Chen's graduation thesis at WHU.☆15Dec 15, 2019Updated 6 years ago
- In this project we try to forecast S&P 500 stocks with machine learning and time series methods☆29Jun 10, 2017Updated 8 years ago
- Code implementation of "SENN: Stock Ensemble-based Neural Network for Stock Market Prediction using Historical Stock Data and Sentiment A…☆77Oct 7, 2020Updated 5 years ago
- This repo is using imitating learning to optimize portfolio. The code was derived from https://github.com/vermouth1992/drl-portfolio-mana…☆11May 16, 2019Updated 6 years ago
- Model news data in short, medium and long term for stock price trend prediction☆20Feb 12, 2018Updated 8 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.
- Stock Market Forecasting: Using Technical Indicators for Price Movement Predictions.☆16Apr 6, 2023Updated 2 years ago
- A back-tester for testing stock trading strategies on historical data☆19Feb 18, 2026Updated last month
- This program trains an agent: StarTrader to trade like a human using a deep reinforcement learning algorithm: deep deterministic policy g…☆108Sep 12, 2019Updated 6 years ago
- Creating DRL infrastructure for Dynamic Beta with Zipline and Keras☆14Dec 8, 2022Updated 3 years ago
- ☆17Jan 27, 2022Updated 4 years ago
- ☆15Oct 25, 2020Updated 5 years ago
- CNN for stock market prediction using raw data & candlestick graph.☆170Sep 17, 2019Updated 6 years ago
- A Project of a Reinforcement Learning course. Simulated competing investment strategies through continuous refinement in a virtual stock …☆15Aug 26, 2019Updated 6 years ago
- MooQuant 是一个基于 pyalgotrade 衍生而来的支持 python3 的支持国内A股的量化交易框架。☆28Mar 25, 2021Updated 5 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- The repository contains the code for project for DS 5500 course at Northeastern.☆36Dec 8, 2019Updated 6 years ago
- Cryptocurrency trader☆22Oct 30, 2017Updated 8 years ago
- Deep q learning on determining buy/sell signal and placing orders☆51May 21, 2019Updated 6 years ago
- A paper replication project for Time-driven feature-aware jointly deep reinforcement learning☆11Mar 12, 2021Updated 5 years ago
- Webscrape stock statistic data from: yahoo finance, reuters, morningstar, zacks.☆17Dec 11, 2022Updated 3 years ago
- Every day, millions of traders around the world are trying to make money by trading stocks. These days, physical traders are also being r…☆287Aug 31, 2021Updated 4 years ago
- Finanças Quantitativas com Python: Calculando a expectativa de retorno com CAPM, Calculando o Beta de um Ação, Calculando o Índice de S…☆20Jan 25, 2022Updated 4 years ago
- Stanford Project: Artificial Intelligence is changing virtually every aspect of our lives. Today’s algorithms accomplish tasks that until…☆287Jul 11, 2023Updated 2 years ago
- A collection of notebooks and different prediction models that can predict the stock prices. Also a comparison of how all these models pe…☆34Jan 18, 2021Updated 5 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.
- In this repository i created many data scince - machine learning projects like(Deep dream,weather prediction,Movie recommender system etc…☆47May 19, 2023Updated 2 years ago
- Forecasting directional movements of stock prices for intraday trading using LSTM and random forest☆533Jul 12, 2021Updated 4 years ago
- Stock market and Twitter data☆29May 3, 2017Updated 8 years ago
- Trading Strategy Using Keras/Tensorflow LSTM and Custom Loss Function☆17Oct 14, 2017Updated 8 years ago
- Implementation of Reinforcement Learning in Pair Trading☆11Jul 4, 2025Updated 8 months ago
- 🤖💹 algorithmic trading strategy built backtested using backtrader and python, optimizing risk-adjusted returns with a bollinger mean-re…☆14Aug 18, 2020Updated 5 years ago
- Optimistic Bull or Pessimistic Bear: Adaptive Deep Reinforcement Learning for Stock Portfolio Allocation☆38Jun 11, 2019Updated 6 years ago