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.

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

Goldman-Sachs-Stock-Prediction

Predict GS stock price using Neural Network

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

Machine-Learning-on-Futures

Pair-Trading-Stategy

Written in Quantopian

Statistical-Arbitrage

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/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