Stock data prediction and trading - master thesis

Explore relationship between Elon Musk's Tweets and stock price of TSLA.

Stock Price Prediction

To predict the price of the Google stock, we use Deep Learning, Recurrent Neural Networks with Long Short-Term Memory(LSTM) layers.

Pull stock data from yahoo finance and forecast with tensorflow 2

Stock Market Prediction using Random Forest Algorithm in R

Prepare an agent by implementing Deep Q-Learning that can perform unsupervised trading in stock trade. The aim of this project is to train an agent that uses Q-learning and neural networks to predict the profit or loss by building a model and implementing it on a dataset that is available for evaluation.

A python script that aggregates stock price data for a given stock, and calculates/visualises average future gains for each day of the calendar year. With a variety of statistics and profitability metrics

Analyze Financial Data using Python

Stonks Rabbi is a streamlit-based application that uses the Yahoo Finance API to visualize and analyze stock trends, patterns, and performance over its listed time period. The metadata is handled through pymongo, the frontend is on streamlit, and autoARIMA, pandas, and matplotlib are used for data analytics and visualization.

Crypto Currency Stock Analysis to highlight the stock market trends, discover the open, close, low and high measures for currency impact on market.

Predict stock prices using neural networks trained on historical price data.

Predicting the value of NIFTY 50 index using ARIMA.

This is a simple GUI developed using Tkinter library.

Time series forecasting (close prices) with different estimators.

An alpha of nasdaq 100 is shared through google cloud function. Everone can trade / share / validate financial insights without exposing underlying logics (until traffic limit).

Stock Market prediction using LSTM

Financial data analysis: preprocess, visualize, calculate technical indicators.