LSTM-RNN Tutorial with LSTM and RNN Tutorial with Demo with Demo Projects such as Stock/Bitcoin Time Series Prediction, Sentiment Analysis, Music Generation using Keras-Tensorflow

A project of using machine learning model (tree-based) to predict short-term instrument price up or down in high frequency trading.

Price Prediction Case Study predicting the Bitcoin price and the Google stock price using Deep Learning, RNN with LSTM layers with TensorFlow and Keras in Python. (Includes: Data, Case Study Paper, Code)

A Fund Price Prediction Framework (LSTM-based, web scraping included) 天天基金网爬虫+基金预测

📈 Bitcoin bull run peak prediction project (price and date)

Deep learning for price movement prediction using high frequency limit order data

Conversion of the time series values to 2-D stock bar chart images and prediction using CNN (using Keras-Tensorflow)

Predicting different market prices using Deep Learning and Recurrent Neural Networks

TensorFlow implementation of Z. Hu et al. "Listening to Chaotic Whispers: A Deep Learning Framework for News-oriented Stock Trend Prediction", WSDM 2018

Buy a second-hand bike at the best price

This repo contains backtesting scripts for various models(mainly LSTM) using different type of datasets to predict bitcoin price. 
Upto 98.7% accuracy, but let me tell you it’s not enough to generate profits on a regular basis ;)

Bitcoin Price Prediction using Recurrent Neural Networks

Deep Learning Applied To Bitcoin Price Prediction.

Cryptocurrency & Stocks Exchange Market Forecast (Predictive AI)

A python package for better analysis of the Stock Market.

🗺️ Istanbul Airbnb Price Prediction on Interactive Map

Machine Learning model for price prediction using an ensemble of four different regression methods.

Random array of scripts to price securities, analyse market data, etc..

Web scraping and analysis of autotrader adverts, to build a used car valuation model.

Developed a price prediction model using Random Forest Regression algorithm. Different graphs were created as a part of Exploratory Data Analysis. Feature Engineering was performed to make the data ready for building the model.Built an interactive dashboard using dash and plotly libraries