양방향 LSTM 기반 주가 예측 알고리즘 논문 연구 코드입니다.

Various Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau

Conducted research in the fusion of machine learning models to improve stock market index prediction accuracy. Evaluated individual models (LSTM, RF, LR, GRU) and compared their performance to fusion prediction models (RF-LSTM, RF-LR, RF-GRU).

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A collections of Tradingview indicators and strategies built in Pinescript V5

PancakeSwap Prediction Bot / BNB & Crypto Trading bot. BNB AI/ChatGBT trading bot, sniping bot for Pancakeswap

A reinforcement learning model specialized in stock prediction utilizing deep learning techniques, incorporating reward mechanisms, compatible with any machine equipped with Python.

Easy to follow stock price analysis forecasting techniques on Indian stock data

Using python and scikit-learn to make stock predictions

The official API of DoubleAdapt (KDD'23), an incremental learning framework for online stock trend forecasting, WITHOUT dependencies on the qlib package.

📈 Suite of a stock price forecaster and a sentiment analysis program built to be highly accurate and thorough for machines with low resources.

LSTM model based stock price prediction

An implementation of the scikit-learn Random Forest Classifier, used to predict the direction of AAPL stock over a time horizon of 90 days, loosely following the paper at https://arxiv.org/abs/1605.00003 .

Estudo comparativo de técnicas de machine learning para previsão de valores de ações.

💹Prediction of stock prices for the next 30 days using machine learning models built on historical data.

Created a machine learning model using Pycaret's logistic regression classification module to predict the direction of the next day's Microsoft closing stock price.

A user-friendly stock prediction app offers accurate stock market predictions and insights, enabling users to make informed investment decisions.

Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.