Stock Price Prediction Bank Jago Using Facebook Prophet Machine Learning & Python

Overview

Stock Price Prediction Bank Jago Using Facebook Prophet Machine Learning & Python

Overview

Bank Jago has attracted investors' attention since the end of December 2020, where previously the company was named PT Bank Atos Indonesia Tbk, then on 27 May 2021 based on the Decree of the Deputy Commissioner for Banking Supervision I OJK Number KEP-95/PB.1/2020 dated 27 may 2020 regarding the application of the use of a business license on behalf of PT Bank Artos Indonesia, Tbk to become PT Bank Jago, Tbk. this attracted the attention of investors because Bank Jago plans to transform digital banks, through this strategic planning since 2020, Bank Jago has become a concern for investors, where at the end of 2020 Bank Jago's share price was recorded at Rp 3,566. interestingly, Gojek through its subsidiary PT Dompet Karya Anak Bangsa acquired 1.95 billion shares of Bank Jago worth Rp 2.25 trillion on December 18, 2020. Until now, the stock price of Bank Jago with the stock code "Arto" to be exact 12 November 2021 is worth Rp 15,500, meaning that since December 2020 there has been an increase of 334%. To assess in helping investment decisions, are Arto's shares still attractive for investors to buy or will the price continue to increase? For this reason, this program seeks to assist in predicting Arto's shares in making investment decisions, with the help of the Facebook Prophet and Machine Learning. As reading material, you can read it through Facebook Prophet for time series predictions.

By using historical data obtained from Yahoo Finance, we can analyze what Bank Jago's stock price predictions will look like in the future.

Results

Plotting Using Facebooks Prophet

Plot Arto

We can see, the results of the plot using Facebook Prophet show good model results, indicated by following the actual price line, we can also see that the plot results predict that Bank Jago shares will continue to increase, so this can be considered for investors as a signal buy, or for investors who already have it can continue to hold.

Prediction results using a Machine Learning-based Facebook Prophet model

Screenshot 2021-11-12 233458

If we see, the results of the model predictions are able to produce quite good insight.

Owner
Najibulloh Asror
`Welcome to my world`
Najibulloh Asror
Avocado hass time series vs predict price

AVOCADO HASS TIME SERIES VÀ PREDICT PRICE Trước khi vào Heroku muốn giao diện đẹp mọi người chuyển giúp mình theo hình bên dưới https://avocado-hass.h

hieulmsc 3 Dec 18, 2021
Feature-engine is a Python library with multiple transformers to engineer and select features for use in machine learning models.

Feature-engine is a Python library with multiple transformers to engineer and select features for use in machine learning models. Feature-engine's transformers follow scikit-learn's functionality wit

Soledad Galli 33 Dec 27, 2022
Dual Adaptive Sampling for Machine Learning Interatomic potential.

DAS Dual Adaptive Sampling for Machine Learning Interatomic potential. How to cite If you use this code in your research, please cite this using: Hong

6 Jul 06, 2022
Pandas Machine Learning and Quant Finance Library Collection

Pandas Machine Learning and Quant Finance Library Collection

148 Dec 07, 2022
Machine Learning Model to predict the payment date of an invoice when it gets created in the system.

Payment-Date-Prediction Machine Learning Model to predict the payment date of an invoice when it gets created in the system.

15 Sep 09, 2022
Temporal Alignment Prediction for Supervised Representation Learning and Few-Shot Sequence Classification

Temporal Alignment Prediction for Supervised Representation Learning and Few-Shot Sequence Classification Introduction. This package includes the pyth

5 Dec 06, 2022
Module for statistical learning, with a particular emphasis on time-dependent modelling

Operating system Build Status Linux/Mac Windows tick tick is a Python 3 module for statistical learning, with a particular emphasis on time-dependent

X - Data Science Initiative 410 Dec 14, 2022
This is the code repository for LRM Stochastic watershed model.

LRM-Squannacook Input data for generating stochastic streamflows are observed and simulated timeseries of streamflow. their format needs to be CSV wit

1 Feb 14, 2022
A repository for collating all the resources such as articles, blogs, papers, and books related to Bayesian Statistics.

A repository for collating all the resources such as articles, blogs, papers, and books related to Bayesian Statistics.

Aayush Malik 80 Dec 12, 2022
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

Prophet: Automatic Forecasting Procedure Prophet is a procedure for forecasting time series data based on an additive model where non-linear trends ar

Facebook 15.4k Jan 07, 2023
AutoTabular automates machine learning tasks enabling you to easily achieve strong predictive performance in your applications.

AutoTabular automates machine learning tasks enabling you to easily achieve strong predictive performance in your applications. With just a few lines of code, you can train and deploy high-accuracy m

Robin 55 Dec 27, 2022
Lightning ⚡️ fast forecasting with statistical and econometric models.

Nixtla Statistical ⚡️ Forecast Lightning fast forecasting with statistical and econometric models StatsForecast offers a collection of widely used uni

Nixtla 2.1k Dec 29, 2022
Python Automated Machine Learning library for tabular data.

Simple but powerful Automated Machine Learning library for tabular data. It uses efficient in-memory SAP HANA algorithms to automate routine Data Scie

Daniel Khromov 47 Dec 17, 2022
Banpei is a Python package of the anomaly detection.

Banpei Banpei is a Python package of the anomaly detection. Anomaly detection is a technique used to identify unusual patterns that do not conform to

Hirofumi Tsuruta 282 Jan 03, 2023
🚪✊Knock Knock: Get notified when your training ends with only two additional lines of code

Knock Knock A small library to get a notification when your training is complete or when it crashes during the process with two additional lines of co

Hugging Face 2.5k Jan 07, 2023
A single Python file with some tools for visualizing machine learning in the terminal.

Machine Learning Visualization Tools A single Python file with some tools for visualizing machine learning in the terminal. This demo is composed of t

Bram Wasti 35 Dec 29, 2022
SIMD-accelerated bitwise hamming distance Python module for hexidecimal strings

hexhamming What does it do? This module performs a fast bitwise hamming distance of two hexadecimal strings. This looks like: DEADBEEF = 1101111010101

Michael Recachinas 12 Oct 14, 2022
Responsible AI Workshop: a series of tutorials & walkthroughs to illustrate how put responsible AI into practice

Responsible AI Workshop Responsible innovation is top of mind. As such, the tech industry as well as a growing number of organizations of all kinds in

Microsoft 9 Sep 14, 2022
Dragonfly is an open source python library for scalable Bayesian optimisation.

Dragonfly is an open source python library for scalable Bayesian optimisation. Bayesian optimisation is used for optimising black-box functions whose

744 Jan 02, 2023
The MLOps is the process of continuous integration and continuous delivery of Machine Learning artifacts as a software product, keeping it inside a loop of Design, Model Development and Operations.

MLOps The MLOps is the process of continuous integration and continuous delivery of Machine Learning artifacts as a software product, keeping it insid

Maykon Schots 25 Nov 27, 2022