Stock market analyzer and predictor using Elasticsearch, Twitter, News headlines and Python natural language processing and sentiment analysis
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Updated
Dec 5, 2023 - Python
Stock market analyzer and predictor using Elasticsearch, Twitter, News headlines and Python natural language processing and sentiment analysis
🐗 🐻 Deep Learning based Python Library for Stock Market Prediction and Modelling
Using python and scikit-learn to make stock predictions
A LSTM model using Risk Estimation loss function for stock trades in market
Simple to use interfaces for basic technical analysis of stocks.
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Implementation of seq2seq with attention in keras
Implementation of "Trade the Event: Corporate Events Detection for News-Based Event-Driven Trading." In Findings of ACL2021
The official API of DoubleAdapt (KDD'23), an incremental learning framework for online stock trend forecasting, WITHOUT dependencies on the qlib package.
Performed time series analysis using ARIMA model in python on online retail dataset.
💰 股票预测 / 量化交易比赛
Predict the change in closing price from one trading day to the next into one of four bands for any stock using technical indicators and financial ratios as features.
Tries to predict if a stock will rise or fall with a certain percentage through giving probabilities of what events it thinks will happen.
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