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Stock prediction using PyTorch nn Module
Performed comparative analysis of BiLSTM, CNN-BiLSTM and CNN-BiLSTM with attention models for forecasting cases.
Multivariate Time Series Prediction using Keras (CNN BiLSTM Attention)
BERT as language model, fork from https://github.com/google-research/bert
code for MLM domain-adaptive pre-training for BERT
Pre-Training with Whole Word Masking for Chinese BERT(中文BERT-wwm系列模型)
李宏毅2021/2022/2023春季机器学习课程课件及作业
BERT for Finance : UC Berkeley MIDS w266 Final Project
Financial Sentiment Analysis with BERT
FinBERT-LSTM: Deep Learning based stock price prediction using News Sentiment Analysis
臺股資料爬取及分析 1.以scrapy爬取cnyes(臺股股票)及taiwanindex(臺灣加權指數)的相關資料 2.將爬取獲得的資料分別儲存於mongodb、mysql、csv 3.接著選擇kdj(K線D線J線)、ebb(布林通道)、poly(多元迴歸分析)不同的分析策略進行股票分析
A time series regression model that feeds input from historical stock prices and sentiment analysis from news.
This is a research project supervised by professor Richard Sinnott - Chinese stock prediction system based on two models. Model 1 is based on stock indicators with LSTM; Model 2 on stock-affecting …