Repository for "StockEmotions: Discover Investor Emotions for Financial Sentiment Analysis and Multivariate Time Series" accepted by AAAI 2023 Bridge (AI for Financial Services).
☆90Feb 7, 2024Updated 2 years ago
Alternatives and similar repositories for StockEmotions
Users that are interested in StockEmotions are comparing it to the libraries listed below
Sorting:
- ☆34May 20, 2024Updated last year
- Accepted at WWW 25 Industrial Track (oral)☆18Jun 6, 2025Updated 8 months ago
- This repo contains my reimplementation and improvement of DeepLOB model.☆32Apr 22, 2021Updated 4 years ago
- Cryptocurrency Trading with Reinforcement Learning based on Backtrader☆46Jan 9, 2025Updated last year
- X-Trend: Few-Shot Learning Patterns in Financial Time-Series for Trend-Following Strategies☆87Feb 25, 2024Updated 2 years ago
- Time-Series Momentum Strategies☆12Jul 20, 2018Updated 7 years ago
- qlib数据层backend支持pgsql数据库☆15Jan 3, 2024Updated 2 years ago
- 强化学习进行量化金融☆41Jul 20, 2022Updated 3 years ago
- For Chinese comments, the Finbert model was used to conduct polarity analysis and predict stock price rise☆24Dec 26, 2020Updated 5 years ago
- Crypto-Options Volatility Surface Calibration and Arbitrage☆17Dec 26, 2022Updated 3 years ago
- A study on volume-price factor stock selection model based on wavelet transform and multitask self-attention network☆100May 16, 2025Updated 9 months ago
- This code accompanies the the paper Slow Momentum with Fast Reversion: A Trading Strategy Using Deep Learning and Changepoint Detection (…☆266Nov 24, 2022Updated 3 years ago
- ☆69Jun 16, 2024Updated last year
- Code release for "Diffusion Variational Autoencoder for Tackling Stochasticity in Multi-Step Regression Stock Price Prediction" https://a…☆106Jul 3, 2024Updated last year
- ☆66Apr 13, 2021Updated 4 years ago
- [WWW'2024] "FinReport: Explainable Stock Earnings Forecasting via News Factor Analyzing Model"☆104Mar 17, 2025Updated 11 months ago
- ☆129Jan 9, 2025Updated last year
- Official Implementation of SimStock : Representation Model for Stock Similarities☆87Jun 17, 2024Updated last year
- ☆39Dec 20, 2025Updated 2 months ago
- On-going project: I will be implementing a combination of pairs trading strategies in attempt to see which type performs best after backt…☆14Jul 20, 2024Updated last year
- ☆40Jun 13, 2023Updated 2 years ago
- HedgeAgents: A Balanced-aware Multi-agent Financial Trading System☆28May 22, 2024Updated last year
- ☆137Jul 19, 2024Updated last year
- ☆43Jan 24, 2023Updated 3 years ago
- Code to support my Master's thesis☆22Sep 10, 2023Updated 2 years ago
- Repo for code used to perform research for the WorldQuant University MScFE Capstone project on "Application of algorithmic trading strate…☆25Apr 29, 2020Updated 5 years ago
- Official code implementation of AAAI 2024 paper "StockMixer: A Simple yet Strong MLP-based Architecture for Stock Price Forecasting".☆349Mar 19, 2024Updated last year
- 量化交易☆11Jan 3, 2023Updated 3 years ago
- Alpaca-based Order Book Inbalace Algorithm.☆12Jul 23, 2020Updated 5 years ago
- The PyTorch implementation of "Modeling Financial Time Series using LSTM with Trainable Initial Hidden States"☆11Jul 15, 2020Updated 5 years ago
- This code accompanies the the paper Trading with the Momentum Transformer: An Intelligent and Interpretable Architecture (https://arxiv.o…☆602Dec 10, 2023Updated 2 years ago
- Astock☆241Jul 26, 2023Updated 2 years ago
- The official API of DoubleAdapt (KDD'23), an incremental learning framework for online stock trend forecasting, WITHOUT dependencies on t…☆113Dec 25, 2024Updated last year
- Algorithmic Trading Challenge implemented as part of the term project for Foundations of Machine Learning at NYU Courant in Fall 2016 (ht…☆27Oct 9, 2021Updated 4 years ago
- This is the official code and supplementary materials for our AAAI-2024 paper: MASTER: Market-Guided Stock Transformer for Stock Price Fo…☆426Jun 26, 2025Updated 8 months ago
- Imputing missing stock anomalies data with EM implementation☆15Feb 19, 2024Updated 2 years ago
- We use an adversarial expert based online learning algorithm to learn the optimal parameters required to maximise wealth trading zero-cos…☆11Apr 8, 2020Updated 5 years ago
- Stock Market Price Prediction: Used machine learning algorithms such as Linear Regression, Logistics Regression, Naive Bayes, K Nearest N…☆27Jul 18, 2020Updated 5 years ago
- Code relating to the paper - Stock Embeddings: Learning Distributed Representations for Financial Assets☆81Dec 6, 2024Updated last year