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stock-prediction-using-linear-regression-and-decision-tree-regression

stock-prediction-using-long-short-term-memory

stock-prediction-using-machine-learning

stock-prediction-using-temporal-convolutional-network

Netflix (NFLX) stock prediction using Temporal Convolutional Network (TCN) and Darts Library

stock-prediction-with-regression-models-in-python

stock-predictor

predicts the performance of stocks based on fundamental financial data companies publish on a quarterly basis.

stock-predictor-1

meanReversion

stock-predictor-lstm

This project is a working Stock Price predictor . The user can give it any company's stock from any Index like NASDAQ, NSE,etc. It can be used on any type of market like Stock(Equity), FX (Currency Exchange), FNO (Futures n Options), etc. Be careful to change the READ_CSV line according to your Dataset and add columns if not added but removing "USE_COLS"and replacing it with a list of names of your columns like LIST=["Date","Time","Open", "High"...and so on] as"NAMES=LIST". I am open to changes and suggestions. If there is a query kindly add it in the issues section, I will try my best to help you.Stock traders mainly use three indicators for prediction: OHLC average (average of Open, High, Low and Closing Prices), HLC average (average of High, Low and Closing Prices) and Closing price, In this project, OHLC average has been used.

stock-predictor-lstm-1

This project is a working Stock Price predictor . The user can give it any company's stock from any Index like NASDAQ, NSE,etc. It can be used on any type of market like Stock(Equity), FX (Currency Exchange), FNO (Futures n Options), etc. and for any time frame like 1 min, 5 min, End Of the day data. Be careful to remove the irrelevant code from comment for 1 min and 5 min code. Be careful to change the READ_CSV line according to your Dataset and add columns or if not added then do not remove "USE_COLS" or replace it with a list of names of your columns like LIST=["Date","Time","Open", "High"...and so on] as"NAMES=LIST". I am open to changes and suggestions. If there is a query kindly add it in the issues section, I will try my best to help you.Stock traders mainly use three indicators for prediction: OHLC average (average of Open, High, Low and Closing Prices), HLC average (average of High, Low and Closing Prices) and Closing price, In this project, OHLC average has been used.

stock-price-and-beta-values-update--automation

stock-price-automation

stock-price-extractor-for-sql

A python script to scrape stock prices off NASDAQ API and feed it to MySQL

stock-price-forecast

Using NeuralProphet and yFinance to forecast stock prices

stock-price-forecast-with-technical-indicators

predict lightgbm

stock-price-forecasting-using-information-from-yahoo-finance-and-google

Predicting Stock Price on the basis of a combination of fundamenta data (google trends data and sentiment data) and technical data(stock price) collected for TWTR (Twitter Inc)

stock-price-forecasting-using-optimized-technical-indicators-with-three-stage-feature-selection

This project has focused on predicting the closing prices of stock. A model has been made to predict stock price movement by calculating and selecting effective technical indicators.Four machine learning models i.e. random forest, artificial neural network, gradient boosting, linear regressor applied on optimized technical indicator for forecasting the closing price.

stock-price-prediction

Regression models to predict stock price

stock-price-prediction-1

Prediction stock prices using Python.

stock-price-prediction-2

stock-price-prediction-application

Stock Price Prediction Application can predict stock prices whether Indian or international Stock's

stock-price-prediction-lstm

OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network

stock-price-prediction-rnn

predicting stock prices using recurrent neural networks

stock-price-prediction-using-knn-algorithm

Basic Stock Price Prediction Using KNN Algorithm. #Python

stock-price-prediction-using-linear-regression-and-technical-analysis

Stock market prediction is the act of trying to determine the future value of a company stock or other financial instrument traded on an exchange. The successful prediction of a stock's future price could yield significant profit.

stock-price-prediction-using-lstm-and-technical-indicators

In this Jupyter Notebook, I've used LSTM RNN with Technical Indicators namely Simple Moving Average (SMA), Exponential Moving Average (EMA), Moving Average Convergence Divergence (MACD), and Bollinger Bands to predict the price of Bank Nifty.

stock-price-predictions

stock-price-predictor

This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.

stock-price-provider

This script serves to scrap quotes prices from yahoofinance.com. There are other ways to do the same task, but this was done as a training exercise to understand both web scrapping and object oriented programming (OOP)

stock-price-returns-prediction

This repository contains solution for prediction of stock price returns

stock-price-trade-analyzer

This is a Python 3.0 project for analyzing stock prices and methods of stock trading. It uses native Python tools and Google TensorFlow machine learning.