Generative Adversarial Network for Stock Market Price Prediction
☆58Dec 9, 2019Updated 6 years ago
Alternatives and similar repositories for CS230
Users that are interested in CS230 are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- 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
- Implement the model of Halperin and Feldshteyn for DJIA and SP500☆10Apr 4, 2019Updated 7 years ago
- https://arxiv.org/abs/2006.04992☆19Jun 17, 2021Updated 5 years ago
- Reproduce the result of the paper "Deep Learning with Long Short-Term Memory Networks for Financial Market Prediction"☆19Aug 21, 2020Updated 5 years ago
- A paper replication project for Time-driven feature-aware jointly deep reinforcement learning☆12Mar 12, 2021Updated 5 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- The code for Fuzzy Investment Counselor (FIC) and Markowitz portfolio theory for stock investment☆14Sep 2, 2020Updated 5 years ago
- Stock analysis and prediction - fundamental, quantitative, technical analysis and machine learning.☆13May 1, 2023Updated 3 years ago
- stock forecasting with sentiment variables(with lstm as generator and mlp as discriminator)☆36Nov 5, 2019Updated 6 years ago
- In this project, we will compare two algorithms for stock prediction. First, we will utilize the Long Short Term Memory(LSTM) network to …☆269Jun 24, 2021Updated 5 years ago
- Guidelines for the responsible use of explainable AI and machine learning.☆17Jan 30, 2023Updated 3 years ago
- Estimate dynamic high-order correlations in multivariate timeseries data☆41Jul 9, 2025Updated last year
- A modification of traditional random forest for time-series forecasting☆13Apr 16, 2024Updated 2 years ago
- Random Forest-based "Correlation" measures☆15May 3, 2022Updated 4 years ago
- Collection of business analytics case studies that leverage data science methods to create business value (R and Python)☆13Jul 12, 2019Updated 7 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- ☆15Oct 25, 2020Updated 5 years ago
- ☆16Aug 22, 2017Updated 8 years ago
- ☆18Sep 5, 2019Updated 6 years ago
- Tries to predict if a stock will rise or fall with a certain percentage through giving probabilities of what events it thinks will happen…☆25Oct 27, 2017Updated 8 years ago
- Optimization techniques on the financial area for the hedging, investment starategies, and risk measures☆42Apr 6, 2020Updated 6 years ago
- Collection of notebooks exploring conv nets in detail.☆10Sep 14, 2017Updated 8 years ago
- A collection of my ramblings into the field of Quantitatve and Mathematical Finance☆12Feb 21, 2020Updated 6 years ago
- This repository relates to the paper "Measuring Financial Time Series Similarity With a View to Identifying Profitable Stock Market Oppor…☆22Jul 19, 2021Updated 5 years ago
- Prebuilt binaries for Windows☆10Jan 26, 2024Updated 2 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- This repository contains code for the method proposed in the paper: Two-stream Encoder-Decoder Network for Localizing Image Forgeries☆12Nov 12, 2021Updated 4 years ago
- ☆10Sep 9, 2023Updated 2 years ago
- This module allows you to easily create order-based financial markets, add agents with various strategies, and evaluate the actions of ag…☆29May 1, 2022Updated 4 years ago
- manipulating cointegrated pairs to achieve a market-neutral strategy that outperforms indices☆11Jan 12, 2021Updated 5 years ago
- The code and datasets of "Multi-Graph Convolutional Network for Relationship-Driven Stock Movement Prediction"☆58Aug 17, 2021Updated 4 years ago
- Project analyzes Amazon Stock data using Python. Feature Extraction is performed and ARIMA and Fourier series models are made. LSTM is us…☆455Aug 14, 2020Updated 5 years ago
- Automated trading strategies created on the QuantConnect Platform.☆11Dec 25, 2021Updated 4 years ago
- A portfolio optimization framework leveraging Deep Reinforcement Learning (DRL) and a custom trading environment☆13Aug 12, 2020Updated 5 years ago
- WATTNet: Learning to Trade FX with Hierarchical Spatio-Temporal Representations of Highly Multivariate Time Series☆72Aug 19, 2020Updated 5 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.
- Compute set of important operations for HCTSA code☆28Apr 11, 2020Updated 6 years ago
- Implementing a first hurdle for expected returns☆18Updated this week
- A PyTorch implementation of QuantNet: transferring learning across systematic trading strategies.☆15Jul 12, 2025Updated last year
- Illustrates how to use HTML as a UI for EasyLanguage.☆21Mar 2, 2016Updated 10 years ago
- My work on UCSD CSE 250B Principles of Artificial Intelligence: Learning Algorithms☆13Jul 24, 2019Updated 6 years ago
- ☆15Feb 2, 2024Updated 2 years ago
- An original implementation of gradient boosting from scratch☆11Jun 2, 2022Updated 4 years ago