Microsoft Stock Price (closing) Prediction using Stacked LSTM and ARIMA (6,1,6) models

Android App with Node.js backend that allows users to view any company's stock prices along with related news and real-time charts and prices.

App to see past gains and losses

Made the stock prices to be predicted from a 5 years dataset from TIINGO of APPLE company and worked on the next 30-day prediction. The final output made after applying 3 stacked layers of LSTM and a dense layer gave me a model with a rmse value of 284.

The following repository contains Google Stock Price Prediction using Keras LSTM Model. The closing stock prices have been predicted based on the previous 5 years' data extracted from https://api.tiingo.com/.

Coding Investment Strategies based on Sentiment with QuantConnect

PyFinance bot - a trading competition platform created as a Python project for the HSE Python course program

Front-End of the Stocks Web Application that displays real-time stock prices, charts and news + other functionalities - https://pranavmswamy.github.io/stocks-webapp/

Forecasting and Prediction of Apple stock by creating a stacked LSTM model on previous data and trying to predict new stock price.

This project is basically for collecting enormous data and analyzing it. It includes live streaming of data from FOREX trading API and Electric Vehicle stocks API. The data is fetched and processed using Kafka Streaming and Spark streaming.Throughout this project stocks of Forex data and Electric Vehicle parts making companies data were analyzed…

Provides .Net access to the Tiingo financial information api. Access ticker, forex, and crypto data via REST or web sockets