Price Prediction model is used to develop an LSTM model to predict the future market price of Bitcoin and Ethereum.

Overview

Price-Prediction-Model

This project’s goal is to develop a machine learning model that can predict a cryptocurrency's future market price.

A LSTM model is trained on historical price data that is pulled in through an API and stored in a relational database.

The model attempts to predict prices for a chosen time window, for both Bitcoin and Ethereum.

Our app is deployed using Heroku:

https://price-prediction-model.herokuapp.com/

Dataset:

The daily crypto price data has been pulled in through an API on CryptoCompare:

https://min-api.cryptocompare.com/documentation?key=Historical&cat=dataHistoday

The pricing information includes: timestamp, high, low, open, volumefrom, volumeto, and close. We will most likely save all the data, but only use one of the pricing metrics to train the model.

ETL proccess

The API data includes timestamp, high, low, open, volumefrom, volumeto, and close. In addition to these columns, we've created a coin, date, and year column.

Data storage

  • We used Heroku Postgres to store data for our app.
  • The database updates only when needed, based on the current and last unix timestamp in the db Database updates up to once daily, when index page loads, based on 00:00 GMT time zone.
  • Time units were daily only.
  • Data for both coins was stored in 1 table, due to limitations of a free Heroku Postgres database.

Long Short Term Memory (LSTM) Model

The Long Short Term Model (LSTM) has been used to do the price forecasting. LSTM is a slightly more sophisticated version of a Recurrent Neural Network (RNN) which incorporates long term memory. The model will be trained on historical price data and used to predict the next value in the series. (Time window for predictions, tbd)

Visualization

HTML/CSS/Plotly has been used to do the visualization and plots. Here are the final plots and Welcome page:

Welcome Page:

Bitcoin PricePerformance Plot and Table:


Bitcoin Candlestick chart:

Bitcoin Price Prediction Model:

Bitcoin Price Acceleration Plot:

Ethereum Price Performance Plot and Table:

Ethereum Candlestick Plot:

Bitcoin vs Ethereum Comparison Table and Plot:


Team Members:

Anna Weeks
Hima Vissa
Jacob Trevithick
Lekshmi Prabha
Automated machine learning: Review of the state-of-the-art and opportunities for healthcare

Automated machine learning: Review of the state-of-the-art and opportunities for healthcare

42 Dec 23, 2022
CorrProxies - Optimizing Machine Learning Inference Queries with Correlative Proxy Models

CorrProxies - Optimizing Machine Learning Inference Queries with Correlative Proxy Models

ZhihuiYangCS 8 Jun 07, 2022
pywFM is a Python wrapper for Steffen Rendle's factorization machines library libFM

pywFM pywFM is a Python wrapper for Steffen Rendle's libFM. libFM is a Factorization Machine library: Factorization machines (FM) are a generic approa

João Ferreira Loff 251 Sep 23, 2022
A machine learning web application for binary classification using streamlit

Machine Learning web App This is a machine learning web application for binary classification using streamlit options this application contains 3 clas

abdelhak mokri 1 Dec 20, 2021
Simplify stop motion animation with machine learning.

Simplify stop motion animation with machine learning.

Nick Bild 25 Sep 15, 2022
This handbook accompanies the course: Machine Learning with Hung-Yi Lee

This handbook accompanies the course: Machine Learning with Hung-Yi Lee

RenChu Wang 472 Dec 31, 2022
Machine Learning approach for quantifying detector distortion fields

DistortionML Machine Learning approach for quantifying detector distortion fields. This project is a feasibility study for training a surrogate model

Joel Bernier 1 Nov 05, 2021
Pytools is an open source library containing general machine learning and visualisation utilities for reuse

pytools is an open source library containing general machine learning and visualisation utilities for reuse, including: Basic tools for API developmen

BCG Gamma 26 Nov 06, 2022
A toolkit for making real world machine learning and data analysis applications in C++

dlib C++ library Dlib is a modern C++ toolkit containing machine learning algorithms and tools for creating complex software in C++ to solve real worl

Davis E. King 11.6k Jan 02, 2023
Predicting India’s COVID-19 Third Wave with LSTM

Predicting India’s COVID-19 Third Wave with LSTM Complete project of predicting new COVID-19 cases in the next 90 days with LSTM India is seeing a ste

Samrat Dutta 4 Jan 27, 2022
Continuously evaluated, functional, incremental, time-series forecasting

timemachines Autonomous, univariate, k-step ahead time-series forecasting functions assigned Elo ratings You can: Use some of the functionality of a s

Peter Cotton 343 Jan 04, 2023
Interactive Web App with Streamlit and Scikit-learn that applies different Classification algorithms to popular datasets

Interactive Web App with Streamlit and Scikit-learn that applies different Classification algorithms to popular datasets Datasets Used: Iris dataset,

Samrat Mitra 2 Nov 18, 2021
Bayesian optimization in JAX

Bayesian optimization in JAX

Predictive Intelligence Lab 26 May 11, 2022
Python Extreme Learning Machine (ELM) is a machine learning technique used for classification/regression tasks.

Python Extreme Learning Machine (ELM) Python Extreme Learning Machine (ELM) is a machine learning technique used for classification/regression tasks.

Augusto Almeida 84 Nov 25, 2022
Pyomo is an object-oriented algebraic modeling language in Python for structured optimization problems.

Pyomo is a Python-based open-source software package that supports a diverse set of optimization capabilities for formulating and analyzing optimization models. Pyomo can be used to define symbolic p

Pyomo 1.4k Dec 28, 2022
learn python in 100 days, a simple step could be follow from beginner to master of every aspect of python programming and project also include side project which you can use as demo project for your personal portfolio

learn python in 100 days, a simple step could be follow from beginner to master of every aspect of python programming and project also include side project which you can use as demo project for your

BDFD 6 Nov 05, 2022
GAM timeseries modeling with auto-changepoint detection. Inspired by Facebook Prophet and implemented in PyMC3

pm-prophet Pymc3-based universal time series prediction and decomposition library (inspired by Facebook Prophet). However, while Faceook prophet is a

Luca Giacomel 314 Dec 25, 2022
Painless Machine Learning for python based on scikit-learn

PlainML Painless Machine Learning Library for python based on scikit-learn. Install pip install plainml Example from plainml import KnnModel, load_ir

1 Aug 06, 2022
A simple python program which predicts the success of a movie based on it's type, actor, actress and director

Movie-Success-Prediction A simple python program which predicts the success of a movie based on it's type, actor, actress and director. The program us

Mahalinga Prasad R N 1 Dec 17, 2021
Responsible Machine Learning with Python

Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.

ph_ 624 Jan 06, 2023