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

In this project i have tried to combine the following things: (notes, finance, transaction, stocks). In this project user can see the graph of the stock like grow site(but in worse conditions). Along with this my main purpose here is that user can enter the buy or sell orders and see what would have happened if he have buyed or selled that stocks.

Easy to follow stock price analysis on Indian stock data

This repository contains code for implementing both Large Language Models (LLM) and Long Short-Term Memory (LSTM) models in AWS SageMaker Studio Lab. It includes notebooks for LLM-based applications and LSTM models for stock price prediction.

LSTM model based stock price prediction

PyTorch implementation of FactorVAE

The project aims to create a system that predict future possible stock prices or that has functionalities that has features to make predict easy.

A collections of Tradingview indicators and strategies built in Pinescript V5

Just trying to predict random stock using AR, MA, ARMA and ARIMA with Stationarity methodology .

This repository contains a comprehensive analysis of time series data (stock prices), forecasted using various statistical and deep learning models.

A repository for predicting stock prices using machine learning techniques. Includes data preprocessing, model training, evaluation, and visualization.

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Platform for NYSE & NASDAQ stocks to display RSI, P/E, P/B, EPS, CAP and candlestick chart with fibonacci + 6 latest news. This also calculates sector averages for RSI, P/E and P/B for displaying BUY | HOLD | SELL images on tables.

Using python and scikit-learn to make stock predictions

calculate stock target price using DCF model.

양방향 LSTM 기반 주가 예측 알고리즘 논문 연구 코드입니다.

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).

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