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xiaosixugithub's Projects

a-deep-learning-based-illegal-insider-trading-detection-and-prediction-technique-in-stock-market

Illegal insider trading of stocks is based on releasing non-public information (e.g., new product launch, quarterly financial report, acquisition or merger plan) before the information is made public. Detecting illegal insider trading is difficult due to the complex, nonlinear, and non-stationary nature of the stock market. In this work, we present an approach that detects and predicts illegal insider trading proactively from large heterogeneous sources of structured and unstructured data using a deep-learning based approach combined with discrete signal processing on the time series data. In addition, we use a tree-based approach that visualizes events and actions to aid analysts in their understanding of large amounts of unstructured data. Using existing data, we have discovered that our approach has a good success rate in detecting illegal insider trading patterns. My research paper (IEEE Big Data 2018) on this can be found here: https://arxiv.org/pdf/1807.00939.pdf

a-stock-prediction-system-with-deep-learning

Try to predict stock price with LSTM、GAN and DRL, exploring the features of news and technical indicators，which help improving perfomance of predictions.

ailearning

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

architect-awesome

后端架构师技术图谱

automatedstocktrading-deepq-learning

Every day, millions of traders around the world are trying to make money by trading stocks. These days, physical traders are also being replaced by automated trading robots. Algorithmic trading market has experienced significant growth rate and large number of firms are using it. I have tried to build a Deep Q-learning reinforcement agent model to do automated stock trading.

awesome-blockchain-cn

收集所有区块链(BlockChain)技术开发相关资料，包括Fabric和Ethereum开发资料

awesome-deep-reinforcement-learning-in-finance

🔬 A collection for those AI (RL / DL / SL / Evoluation / Genetic Algorithm) used in financial market. otherwise, we add Technology Analysis / Alpha Research / Arbitrage and other useful strategies tools & docs in quantitative finance market.

bulbea

:boar: :bear: Deep Learning based Python Library for Stock Market Prediction and Modelling

cryptolist

Curated collection of blockchain & cryptocurrency resources.

deep-learning-financial-news-stock-movement-prediction

Deep Time Series Code (Stock Sentiment Prediction)

deep-q-learning-trading-system-on-hk-stocks-market

Deep q learning on determining buy/sell signal and placing orders

deep-quant

Deep learning for forecasting company fundamental data

deep-reinforcement-learning-for-optimal-execution-of-portfolio-transactions-using-ddpg

Performing a trading strategy using deep deterministic policy gradients to know when to buy, hold or sell stocks in a virtual environment that simulates stock prices.

deep_trader

This project uses reinforcement learning on stock market and agent tries to learn trading. The goal is to check if the agent can learn to read tape. The project is dedicated to hero in life great Jesse Livermore.

deeplearning

Reinforcement Learning,NLP,VAE,CNN,Stock,Economic,Review,Quant

deeplearning-500-questions

deeplearning-models

A collection of various deep learning architectures, models, and tips

deepquant

Deep Learning Experiments in Quantitative Finance

deepquantinchina

Use Deep Learning techniques to trade in Chinese Financial Market. (Algorithm Trading)

evaluating-investing-in-the-stock-market

My early experiments with the stock market. Quant actually uses a proprietary deep learning algorithm which is not yet open-source.

event-driven-stock-prediction-using-deep-learning

A deep learning method for event driven stock market prediction. Deep learning is useful for event-driven stock price movement prediction by proposing a novel neural tensor network for learning event embedding, and using a deep convolutional neural network to model the combined influence of long-term events and short-term events on stock price movements

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