heamabc
Interested in Quantitative Finance/ Machine Learning/ Software Engineering. Feel free to contact me via email!!!! takhei611@gmail.com
Hong Kong
Pinned Repositories
autoinfo
create-react-app-auth-amplify
Implements a basic authentication flow for signing up/signing in users as well as protected client side routing using AWS Amplify.
econ-2125-8013
ECON2125/8013 course files
empirical-asset-pricing
For my students who enroll in Fin 532B.
fergus-quant
Financial-Market-Prediction
Predicting various financial market tickers in PyTorch
Machine-Learning-on-Futures
p2p_hkd_usdt_alert
This script is to monitor the P2P prices quoted on Binance and AAX in HKD. It will alert me in telegram when the price is desirable
Pair-Trading-Stategy
Written in Quantopian
Statistical-Arbitrage
heamabc's Repositories
heamabc/Pair-Trading-Stategy
Written in Quantopian
heamabc/fergus-quant
heamabc/Machine-Learning-on-Futures
heamabc/p2p_hkd_usdt_alert
This script is to monitor the P2P prices quoted on Binance and AAX in HKD. It will alert me in telegram when the price is desirable
heamabc/autoinfo
heamabc/create-react-app-auth-amplify
Implements a basic authentication flow for signing up/signing in users as well as protected client side routing using AWS Amplify.
heamabc/econ-2125-8013
ECON2125/8013 course files
heamabc/empirical-asset-pricing
For my students who enroll in Fin 532B.
heamabc/Financial-Market-Prediction
Predicting various financial market tickers in PyTorch
heamabc/Goldman-Sachs-Stock-Prediction
Predict GS stock price using Neural Network
heamabc/Interview_Notes-Chinese
2018/2019/校招/春招/秋招/自然语言处理(NLP)/深度学习(Deep Learning)/机器学习(Machine Learning)/C/C++/Python/面试笔记
heamabc/Statistical-Arbitrage
heamabc/MyProjects
My Different Projects
heamabc/P2P-Loan-Acceptance-and-Default-Prediction
heamabc/Smart-Beta-Regularization
heamabc/stockpredictionai
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
heamabc/Stocks-And-Funds-Data-Scrapping
heamabc/Streamlit-Dashboard-Descriptive-Analytics-with-MYSQL
Streamlit Dashboard Descriptive Analytics with MYSQL