AI4Finance-Foundation / Financial-News-for-Stock-Prediction-using-DP-LSTM-NIPS-2019Links
Differential Privacy-inspired LSTM for Stock Prediction Using Financial News. NeurIPS Robust AI in Financial Services 2019.
☆35Updated 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:
- Limit Order Book for high-frequency trading (HFT) strategies using data science approaches☆24Updated 4 years ago
- We use an adversarial expert based online learning algorithm to learn the optimal parameters required to maximise wealth trading zero-cos…☆10Updated 5 years ago
- a unified environment for supervised learning and reinforcement learning in the context of quantitative trading☆46Updated 4 years ago
- Replication of Time Series Momentum strategy by Moskowtiz, Ooi, Pedersen, 2011.☆71Updated 7 months ago
- High Frequency Jump Prediction Project☆38Updated 5 years ago
- Reinforcement Learning Script that trades Equities from Yahoo Finance☆78Updated 6 years ago
- Financial time-series forecasting has long been a challenging problem because of the inherently noisy and stochastic nature of the market…☆16Updated 4 years ago
- Hedging portfolios with reinforcement learning.☆36Updated 8 years ago
- ☆17Updated 3 years ago
- sharpe is a unified, interactive, general-purpose environment for backtesting or applying machine learning(supervised learning and reinfo…☆51Updated 4 years ago
- Deep q learning on determining buy/sell signal and placing orders☆50Updated 6 years ago
- Momentum following strategies and optimal execution cost upon Implement Shortfall algorithm☆15Updated 6 years ago
- Codes for the paper Stock Trading Volume Prediction with Dual-Process Meta-Learning accepted by ECML PKDD 2022☆35Updated 3 years ago
- everything quantitative finance related☆24Updated 5 years ago
- Risk Management via Anomaly Circumvent: Mnemonic Deep Learning for Midterm Stock Prediction. KDD 2019.☆23Updated 5 years ago
- Deep learning for limit order book trading and mid-price movement☆55Updated 5 years ago
- Time-Series Momentum Strategies☆12Updated 7 years ago
- apolanco3225 / Deep-Reinforcement-Learning-for-Optimal-Execution-of-Portfolio-Transactions-using-DDPGPerforming a trading strategy using deep deterministic policy gradients to know when to buy, hold or sell stocks in a virtual environment…☆58Updated 6 years ago
- Uisng CNN to predicte stock market trend, and feeding with 2D images☆15Updated 7 years ago
- A Deep Reinforcement Learning model for high volume and frequency Forex Portfolio Management☆12Updated 2 years ago
- This project explores stock trading modelling with the use recurrent neural network (RNN) with long-short term memory (LSTM) architecture…☆28Updated 6 years ago
- My approaches to Financial Forecasting Challenge by G-Research☆44Updated 7 years ago
- Creating DRL infrastructure for Dynamic Beta with Zipline and Keras☆14Updated 3 years ago
- A crypto currency live-trading backend for Huobi☆37Updated 7 years ago
- A framework for training and evaluating deep learning models in Quantitative trading domain☆56Updated 6 years ago
- Deep Learning Stock Volatility with Google Domestic Trends: https://arxiv.org/pdf/1512.04916.pdf☆94Updated 3 years ago
- Option hedging strategies are investigated using two reinforcement learning algorithms: deep Q network and deep deterministic policy grad…☆21Updated 6 years ago
- A Deep Reinforcement Learning neural net for an original Multi-Dimensional Pairs Trading strategy is proposed☆21Updated 7 years ago
- Stock Market Prediction on High-Frequency Data Using soft computing based AI models☆20Updated last year
- Reinforcement Learning in FX Trading☆28Updated 6 years ago