AI4Finance-Foundation / Financial-News-for-Stock-Prediction-using-DP-LSTM-NIPS-2019View external linksLinks
Differential Privacy-inspired LSTM for Stock Prediction Using Financial News. NeurIPS Robust AI in Financial Services 2019.
☆35Aug 25, 2020Updated 5 years ago
Alternatives and similar repositories for Financial-News-for-Stock-Prediction-using-DP-LSTM-NIPS-2019
Users that are interested in Financial-News-for-Stock-Prediction-using-DP-LSTM-NIPS-2019 are comparing it to the libraries listed below
Sorting:
- Risk Management via Anomaly Circumvent: Mnemonic Deep Learning for Midterm Stock Prediction. KDD 2019.☆23Aug 26, 2020Updated 5 years ago
- Multi-agent Reinforcement Learning for Liquidation Strategy Analysis. ICML 2019 AI in Finance.☆30Aug 26, 2020Updated 5 years ago
- MarketGPT: Developing a Pre-trained transformer (GPT) for Modeling Financial Time Series☆17Sep 5, 2025Updated 5 months ago
- ☆10Jul 21, 2019Updated 6 years ago
- ☆13May 25, 2023Updated 2 years ago
- The PyTorch implementation of "Modeling Financial Time Series using LSTM with Trainable Initial Hidden States"☆11Jul 15, 2020Updated 5 years ago
- Scrape Data from Twitter, Facebook, Yahoo, and other websites☆10Aug 30, 2022Updated 3 years ago
- We use an adversarial expert based online learning algorithm to learn the optimal parameters required to maximise wealth trading zero-cos…☆10Apr 8, 2020Updated 5 years ago
- ☆10Jun 14, 2018Updated 7 years ago
- Adaptation of Monte Carlo and SARSA algorithms (Reinforcement Learning) for learning the policy of sellers/ buyers in stock market☆12Jul 23, 2018Updated 7 years ago
- 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 5 years ago
- Implement the model of Halperin and Feldshteyn for DJIA and SP500☆10Apr 4, 2019Updated 6 years ago
- Try to implement Hybrid Attention Net mentioned in 'Listening to Chaotic Whispers'☆11Feb 28, 2021Updated 4 years ago
- Use total, upper, down, relative volatility factors to find Alpha. Implement whole trading process & back-test with visualization.☆12May 30, 2021Updated 4 years ago
- Pytorch implementation of DeepLOB-ATT and DeepLOB-Seq2Seq from Multi Horizon Forecasting for Limit Order Books☆14Feb 4, 2023Updated 3 years ago
- 这个项目使用tushare中所有的财经快讯新闻(2018年至今)训练了tfhub中预训练模型bert-base-chinese模型,使之更加符合中文的财经新闻语境。☆12Dec 9, 2022Updated 3 years ago
- GitHub for the article Pseudo Random Number Generation through Reinforcement Learning and Recurrent Neural Networks (Luca Pasqualini and …☆11Feb 18, 2021Updated 5 years ago
- Stock Market Prediction Using Unsupervised Features☆53Sep 15, 2018Updated 7 years ago
- The NLP News Sentiment Factor Trading Strategy for a Portfolio of S&P 500 Stocks☆12Apr 6, 2020Updated 5 years ago
- repository for accepted paper in BigData 2022 conference☆12Jul 17, 2023Updated 2 years ago
- Pytorch implementation of BIN-TABL from Data Normalization for Bilinear Structures in HF Financial Time-series☆13Aug 12, 2024Updated last year
- Implementation of the paper <Model-based Reinforcement Learning for Predictions and Control for Limit Order Books (Wei et al., J.P. Morga…☆11Aug 22, 2023Updated 2 years ago
- Modifying the Shiller CAPE Ratio to adjust for changing economic conditions.☆15Nov 5, 2022Updated 3 years ago
- Time-Series Momentum Strategies☆12Jul 20, 2018Updated 7 years ago
- A machine learning pipeline that ingest and process a 20-year historical stock price dataset and try to predict future prices using Light…☆16Nov 20, 2020Updated 5 years ago
- Usage of policy gradient reinforcement learning to solve portfolio optimization problems (Tactical Asset Allocation).☆33Apr 25, 2019Updated 6 years ago
- The code for Fuzzy Investment Counselor (FIC) and Markowitz portfolio theory for stock investment☆14Sep 2, 2020Updated 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.☆12Jul 10, 2021Updated 4 years ago
- Deep Q-Learning Auto Market Maker☆12Jun 12, 2021Updated 4 years ago
- Implementation of Deep Q-network to play the game 2048 using Keras.☆13Oct 3, 2021Updated 4 years ago
- Performing a trading strategy using deep deterministic policy gradients to know when to buy, hold or sell stocks in a virtual environment…☆59Apr 8, 2019Updated 6 years ago
- Practical Deep Reinforcement Learning Approach for Stock Trading. NeurIPS 2018 AI in Finance.☆98Mar 15, 2024Updated last year
- Long-Term Investment in the Beverage Industry☆16Mar 27, 2024Updated last year
- MATLAB code to produce results and figures in the paper "Stochastic Optimal Control of Pairs Trading Strategies with Absolute and Relativ…☆15Jun 1, 2018Updated 7 years ago
- Pytorch implementation of deep learning models for financial time series forecasting using LOB☆20May 25, 2023Updated 2 years ago
- ☆12Sep 11, 2023Updated 2 years ago
- ☆24May 1, 2025Updated 9 months ago
- ☆14Aug 5, 2020Updated 5 years ago
- The source code of the paper "SHGNN: Structure-Aware Heterogeneous Graph Neural Network"☆14Dec 14, 2021Updated 4 years ago