- Individualized Indicator for All: Stock-wise Technical Indicator Optimization with Stock Embedding
- Investment Behaviors Can Tell What Inside: Exploring Stock Intrinsic Properties for Stock Trend Prediction
- Exploring Graph Neural Networks for Stock Market Predictions with Rolling Window Analysis
- Temporal Relational Ranking for Stock Prediction [code]
- Incorporating Corporation Relationship via Graph Convolutional Neural Networks for Stock Price Prediction
- Knowledge-Driven Event Embedding for Stock Prediction
- HATS: A Hierarchical Graph Attention Network for Stock Movement Prediction [code]
- Hierarchical Complementary Attention Network for Predicting Stock Price Movements with News
- Stock Movement Prediction from Tweets and Historical Prices [code]
- What You Say and How You Say It Matters: Predicting Financial Risk Using Verbal and Vocal Cues
- Listening to Chaotic Whispers: A Deep Learning Framework for News-oriented Stock Trend Prediction [code]
- Enhancing Stock Movement Prediction with Adversarial Training [code]
- Multi-task Recurrent Neural Networks and Higher-order Markov Random Fields for Stock Price Movement Prediction
- Stock Price Prediction via Discovering Multi-Frequency Trading Patterns [code]
- A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction [code]
- BitcoinHeist: Topological Data Analysis for Ransomware Prediction on the Bitcoin Blockchain
- Federated Meta-Learning for Fraudulent Credit Card Detection
- The Behavioral Sign of Account Theft: Realizing Online Payment Fraud Alert
- SEBF: A Single-Chain based Extension Model of Blockchain for Fintech
- Deep Semantic Compliance Advisor for Unstructured Document Compliance Checking
- Market Manipulation: An Adversarial Learning Framework for Detection and Evasion
- Financial Risk Analysis for SMEs with Graph-based Supply Chain Mining
- Phishing Scam Detection on Ethereum: Towards Financial Security for Blockchain Ecosystem
- A Two-level Reinforcement Learning Algorithm for Ambiguous Mean-variance Portfolio Selection Problem
- Data-Driven Market-Making via Model-Free Learning
- Financial Thought Experiment: A GAN-based Approach to Vast Robust Portfolio Selection
- MAPS: Multi-Agent reinforcement learning-based Portfolio management System.
- Modeling the Stock Relation with Graph Network for Overnight Stock Movement Prediction
- Online Portfolio Selection with Cardinality Constraint and Transaction Costs based on Contextual Bandit
- RM-CVaR: Regularized Multiple β-CVaR Portfolio
- Vector Autoregressive Weighting Reversion Strategy for Online Portfolio Selection
- "The Squawk Bot": Joint Learning of Time Series and Text Data Modalities for Automated Financial Information Filtering
- A Quantum-inspired Entropic Kernel for Multiple Financial Time Series Analysis
- A Unified Model for Financial Event Classification, Detection and Summarization
- An End-to-End Optimal Trade Execution Framework based on Proximal Policy Optimization
- F-HMTC: Detecting Financial Events for Investment Decisions Based on Neural Hierarchical Multi-Label Text Classification
- Financial Risk Prediction with Multi-Round Q&A Attention Network
- FinBERT: A Pre-trained Financial Language Representation Model for Financial Text Mining
- Hierarchical Multi-Scale Gaussian Transformer for Stock Movement Prediction
- IGNITE: A Minimax Game Toward Learning Individual Treatment Effects from Networked Observational Data
- Infochain: A Decentralized, Trustless and Transparent Oracle on Blockchain
- Interpretable Multimodal Learning for Intelligent Regulation in Online Payment Systems
- Multi-scale Two-way Deep Neural Network for Stock Trend Prediction
- Relation-Aware Transformer for Portfolio Policy Learning
- Risk Guarantee Prediction in Networked-Loans
- Risk-Averse Trust Region Optimization for Reward-Volatility Reduction
- Robust Market Making via Adversarial Reinforcement Learning
- Task-Based Learning via Task-Oriented Prediction Network with Applications in Finance
- Two-stage Behavior Cloning for Spoken Dialogue System in Debt Collection
- WATTNet: Learning to Trade FX via Hierarchical Spatio-Temporal Representation of Highly Multivariate Time Series
- The Econometrics of Financial Markets
- Advances in Financial Machine Learning
- Financial Decisions and Markets: A Course in Asset Pricing
- Tushare: 一个免费、开源的python财经数据接口包。
- stocknet-dataset: A comprehensive dataset for stock movement prediction from tweets and historical stock prices.
- EarningsCall_Dataset: The earnings conference call dataset of S&P 500 companies
- 新浪财经A股个股新闻数据: 新浪财经网全部A股的个股新闻数据；时间范围：2015-11-01 至2018-01-12；
- 雪球: 聪明的投资者都在这里
- Morningstar: Empowering Investor Success
- Yahoo Finance: Stock Market Live, Quotes, Business & Finance News
- Seeking Alpha: Stock Market Insights
- EarningsCast: Latest Earnings Calls, EarningsCast - Upcoming Earnings Calls
