jiatangzhi/r_stock_market_prediction

Predict stock returns using ARIMA and LightGBM to analyze historical data and uncover key drivers with feature importance in this financial forecasting project.

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fadeldnswr/iot-traffic-forecasting-backend

This repository is for Signal Processing and Multimedia Services lecture final project. The project theme is about using Time Series Analysis ARIMA Model to predict IoT traffic such as latency, traffic and packet loss.

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basiru1/time-series-forecasting-autoarima

Time series forecasting of telecom revenue using Auto-ARIMA and walk-forward validation.

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tacotuesday/time-series-stock-forecasting

Forecasting stock closing prices using statistical, deep learning, and hybrid approaches

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dimpupraharsh/Time-Series-Forecasting-A-Comparative-Study-of-ARIMA-LSTM-GRU

📌 Short Description: This repository presents a comparative analysis of ARIMA, LSTM & GRU models for time series forecasting using both quarterly sale and daily stock prices datasets. The project includes data preprocessing, model implementation, performance evaluation to identify the most effective forecasting techniques

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AishwaryaGade02/Forecasting-Housing-Index-in-United-States-Using-Time-Series-Models

Time series analysis on the United States Housing Price Index data using ARIMA models

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VidyutChakrabarti/Data-ML-projects

A repository for data visualization and data analysis (Occasionally ML) related projects.

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flexx3/crypto-analytics-app

This is a demo web app for crypto analysts and investors to make sound trading decisions. It consists of 1.technical analysis for viewing a variety for charts e.g(candlestick, bollinger, adx/rsi, ema/sma,etc.) which can be customized for a particular date range, 2. Asset correlation page, 3. Make predictions. Read the About page for instructions.

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nunohpinheiro/arima-studies

Studies on the implementation of a generic ARIMA algorithm, to forecast time series

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GustavoHFMO/TimeSeriesCIn

Repositório com os códigos para a monitoria da disciplina de séries temporais da pós-graduação em inteligência computacional do centro de informática (CIn) - UFPE.

Language: Python - Size: 2.17 MB - Last synced at: 24 days ago - Pushed at: 24 days ago - Stars: 6 - Forks: 1

Rindhujatreesa/foreign-exchange-rate-time-series-forecasting

This repository is a guide to using various time-series analysis models like ARIMA, SARIMA, and SARIMAX in forecasting the exchange rates of 5 currencies as compared to US Dollars

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config-i1/smooth

The set of functions used for time series analysis and in forecasting.

Language: R - Size: 10.1 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 90 - Forks: 21

Aashi2608/Deep-Learning

Deep learning projects applying AI models like LSTM, Random Forest, and ARIMA for tasks like electricity demand forecasting and predictive analytics.

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gmonaci/ARIMA

Simple python example on how to use ARIMA models to analyze and predict time series.

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shortthirdman/Retail-Sales-Forecasting

Forecasting Retail Sales with Kolmogorov-Arnold Networks (KANs)

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raj2585/Times-Series-Forecasting

Time Series Forecasting done using two models - ARIMA and LSTM

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akhdandann/goldFuturePrice-Forecasting

This project utilizes historical gold futures price data from 2011 to 2021 sourced from investing.com. It applies time series analysis and the ARIMA model to forecast future gold prices, showcasing skills in data preprocessing, visualization, statistical testing, and model evaluation.

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abhinabasaha/TimeSeriesAnalysisTSA

Language: Jupyter Notebook - Size: 1.49 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

shahgem/CIND-820

Predicting Cryptocurrency Prices with Machine Learning - Time Series Forecasting

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natgluons/Asian-Australian-Monsoon-Interaction

Project on "Prediction of The Indonesian Monsoon Index Based on Rainfall Anomalies and The Asia-Australian Monsoon Interaction"

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natgluons/Indonesian-Monsoon-Index

Project on "A Simple ANN-ARIMA Hybrid Approach to Indonesian Monsoon Index Prediction and Its Application" (doi: 10.13140/RG.2.2.12253.79845/2)

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natgluons/FMCG-Data-Modeling

SQL, ARIMA, and K-Means Clustering for data analysis dan customer segmentation regarding sales data

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MajorLift/volatility-modeling-python-datasci

Undergraduate thesis, Seoul National University Dept. of Economics — "Modeling Volatility and Risk Spillover Between the Financial Markets of US and China Using GARCH Value-at-Risk Forecasting and Granger Causality."

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Pegah-Ardehkhani/Air-Passenger-Demand-Forecasting

Forecast airline passenger demand using time series models like AR, ARMA, and LSTM to improve operations, optimize scheduling, enhance resource allocation, and streamline supply chain management through accurate demand predictions

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MoinDalvs/Time_Series_Forecasting_From_Scratch

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RajdeepDas43/BTC_USD-Algorithmic-Trading-KDSH-2024

This repository consists of notebook, backtesting logs and dataset along with the Problem Statement. This is was our approach to KDSH 2024 by Zelts Labs

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sanam2405/Waterinformatics

This repository contains Arduino codes for Waterinformatics Research Internship at Calcutta University

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huawei-noah/BHT-ARIMA

Code for paper: Block Hankel Tensor ARIMA for Multiple Short Time Series Forecasting (AAAI-20)

Language: Python - Size: 61.5 KB - Last synced at: about 1 month ago - Pushed at: almost 4 years ago - Stars: 105 - Forks: 40

lisekarimi/ts_forecasting_notebook

Time series forecasting using ML models (ARIMA, SARIMA, SARIMAX and Prophet)

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yogeshsinghkatoch9/Stock_Price_Forecasting_System

this repository contains a comprehensive, end-to-end pipeline for forecasting stock prices using a blend of advanced statistical methods and deep learning models. The system is designed to download historical stock data, preprocess and engineer features, and then generate forecasts using multiple models before combining them with an ensemble.

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Diego150103/Projects

This is a repository containing projects and techniques I have worked on.

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ashioyajotham/Quant

Finance

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sahilmate/e-commerce-competitor-analysis

A comprehensive tool that leverages LLM-driven recommendations to empower e-commerce businesses with actionable competitive intelligence in real time

Language: Python - Size: 2.21 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 2 - Forks: 0

amsayandeep/Predictive-Analytics-for-Price-Stabilization-of-Essential-Commodities

This repository contains my work, in machine learning hackathon, hosted by Shore Fest 2025 Community, Gitam University.

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StevenRice99/LLM-Forecast

A Novel Hybridized Forecasting Technique Utilizing ARIMA and Large Language Models

Language: Python - Size: 123 MB - Last synced at: 2 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

tayostats/US-Sales-Analysis-Forecasting

Analysis and forecasting of sales across a range of industries in the United States

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adityagandhamal/satellite-position-estimation

Predicting and forecasting the position/trajectory of a satellite orbiting Earth

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Shohail-Ismail/NAO-ARIMA-UK-GHG-Emissions-Forecast

An analysis of UK greenhouse gas emissions from 1990 to 2023, using ARIMA for time series forecasting, for a task issued by the National Audit Office (NAO). Includes exploratory analysis, stationarity tests, and visualisation with confidence intervals for a 5-year prediction.

Language: Python - Size: 1.43 MB - Last synced at: about 2 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

R-Mahesh45/Gold-Price-Prediction-Using-Machine-Learning

This project uses Random Forest and ARIMA models to predict daily gold prices with 97% accuracy. By cleaning and analyzing historical data (2016–2021), we created a model that provides actionable insights. Deployed with Streamlit, it offers real-time forecasting for investors and traders to stay ahead of the market.

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jinit24/ARIMA-Model

ARIMA model from scratch using numpy and pandas.

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kottoization/FinancialAndDynamicEconometrics

R and python academic projects related to financial econometrics

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kaushiksurbhistats/bayesian-forecasting

Language: Python - Size: 11.7 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

Mike-R0d/GDP-Nowcasting-Using-Electricity-Consumption

GDP is the most widely used measure of the level of economic activity. However, the GDP is usually published after the date of registration of the information. On the other hand, various investigations show that the demand for electrical energy is a coincident indicator of GDP.

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wahyudesu/ARIMA-Analysis-in-Energy-SDGs-7-Indonesia

Project Akhir Mata Kuliah Permodelan Statistika terapan

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rustamhidayatsimatupang/BayesArima

BayesARIMA

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shub-garg/Global-Temperature-Prediction-and-Analysis-using-ARIMA-SARIMAX-and-Neural-Network

This project aims to investigate temperature changes over time and predict future temperature patterns on a regional and global scale. We employ time series forecasting methods, including neural networks, ARIMA, and SARIMAX, using the GISTEMP v4 dataset from NA

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kaffatufiddin/car-sales-forecasting

Time series forecasting using ARIMA, SARIMA, and AutoARIMA on car sales

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cherifon/CO2_Forecasting

Forecasting CO2 Levels Using STM32 Sensor Data and Time Series Analysis

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virajvaidya/TimeSeriesAnalysis

A collection of assessments in Time Series Analysis completed as part of my Econometrics program.

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Soumyadipta2020/ISI_summer_internship_soumyadipta 📦

ISI Summer Internship

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Angana1/Predictive-Analytics-to-Forecast-Lead-Price

Time-series forecasting of lead prices at the London Metal Exchange (Internship at Exide)

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Ansuman21/Analyzing-and-Forecasting-Restaurant-Inspection-Grades-in-NYC

Data Science Project (Final)

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siddhantj12/Time-Series-Modeling-in-R-ARIMA-VAR-Models

Time Series Modeling in R: ARIMA & VAR Models

Language: R - Size: 246 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

aditrachman/Forecasting-Arima

forecasting data tren genre horror di indonesia dataset dari website kaggle

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MohammadErfan-Jabbari/MilanTelecomDataset-Analysis

This repository contains a thorough analysis performed on Dataset from "Telecom Italia Big Data Challenge". This analysis was performed as part of IMDEA Networls Institute assessment process.

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Szymon-Czuszek/Alteryx-Weekly-Challenges

This repository was created to host my solutions to the official Alteryx weekly challenges.

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shaheennabi/Time-Series-related-Practices-and-Mini-Projects

ChatGPT 🎇 Time Series Forecasting Experiments 🎆 A collection of hands-on experiments with time series data 📊, featuring models like ARIMA, LSTM, and Prophet. 🚀 From data preprocessing to forecasting, explore real-world applications like stock predictions and weather forecasting 🌍. Continuously updated with new techniques and models for better

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Niteshchawla/Online-Marketing-Time-Series-Case-Study

An ads and marketing based company helping businesses elicit maximum clicks @ minimum cost.

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Leonard2310/TrendAnalysisAgriTech

Project on Trend Analysis on Pest Occurrence Using Meteorological Data - Information Systems and Business Intelligence (MEng), supervised by Prof. F. Amato, PhD A. Moccardi and PhD M. Fonisto (2024)

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eshambr/Dynamic-Time-Warping-Based-Clustering-for-Cryptocurrency-Investment

Analyzing cryptocurrency market behavior using DTW-based clustering, PCA, and ARIMA forecasting to uncover patterns and optimize investment strategies.

Size: 6.84 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

emskiphoto/ERCOT_electricity_price_forecast

Generate hourly forecasts of the $/MWh Local Marginal Price (LMP) on the Day-Ahead (DA) and Real-Time (RT) markets

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Mahmood-Anaam/Saudi-Stock-Exchange-Tadawul-prediction

This project focuses on forecasting SPIMACO & CHEMICAL stock prices in the Saudi Stock Exchange (Tadawul) using historical data (2015–2020) and the ARIMA time series model.

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ShadmehrBakhtiary/Aireline-passengers-time-series-prediction

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abhy-kumar/ahmedabad-weather-projection

This notebook tries to predict Ahmedabad's weather using historical trends

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ankur-tutlani/ARIMAX-Forecasting

A repository for forecasting continuous scale features using ARIMAX models, including model training and evaluation scripts.

Language: Python - Size: 6.84 KB - Last synced at: 3 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0

Apozzi/Harima

Harima is a Haskell library designed for time series analysis and forecasting using the ARIMA (AutoRegressive Integrated Moving Average) model.

Language: Haskell - Size: 25.4 KB - Last synced at: 3 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

KHarsh98/Keras-ARIMA-Sentiment-Stock-Forecaster

Predicts future stock prices based on analysis of its time-series with ARIMA and sentiment analysis of its financial news.

Language: Python - Size: 4.1 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0

Wissalneq/MASI_Forcasting

This project aims to predict the evolution of the MASI index, a key indicator of the overall performance of the Moroccan stock market, using three advanced time series models: Artificial Neural Networks (ANN), the Autoregressive Integrated Moving Average (ARIMA) model, and Long Short-Term Memory (LSTM) networks. By combining traditional forecasting

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msamprovalaki/BitcoinClosePricePrediction

University Project in Machine Learning about Bitcoin Close Price Prediction

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spsanderson/healthyR.ts

A time-series companion package to healthyR

Language: R - Size: 315 MB - Last synced at: about 1 month ago - Pushed at: 7 months ago - Stars: 19 - Forks: 3

9erikSantos6/ARIMA-Stock-Predictor

Stock price predictor using time series models

Language: Python - Size: 7.72 MB - Last synced at: about 1 month ago - Pushed at: 7 months ago - Stars: 1 - Forks: 2

gbrlcustodio/forecasting

Auto tunned hybrid model for time series prediction using ARIMA and ANN

Language: Python - Size: 4.88 KB - Last synced at: about 2 months ago - Pushed at: about 6 years ago - Stars: 4 - Forks: 0

lucaswychan/neural-stock-prophet

LSTM-ARIMA with attention mechanism and multiplicative decomposition for sophisticated stock forecasting.

Language: Python - Size: 6.1 MB - Last synced at: 18 days ago - Pushed at: 8 months ago - Stars: 4 - Forks: 1

sumeetgedam/Data_Analysis

Repository to track Data Analysis done on various datasets available online

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Nikhil-Kumar-Patel/Hidden-Makov-Model

Hidden Markov Models in stock price forecasting.

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smit246/Forecasting-Analysis

Language: Jupyter Notebook - Size: 1.25 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

adi090104/stock_analysis

stock price analysis using the ALPHA VANTAGE API and doing an exploratory data analysis and interactive visualisation and predicting the price using ARIMA Model and asking the user to buy or sell

Language: Python - Size: 102 KB - Last synced at: 8 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

GusGitMath/TopTech_SP500_Forecasting

Forecasting the stock market is difficult. I sought to observe the relationship between Apple's stock price and others in the S&P500. In doing this, I was able to conclude that stocks in the tech industry can help predict a trend in Apple's Percent change.

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codeasarjun/EnergyVision

Energyvision

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lazernata/time_series_analysis

Practical part of my Master's Thesis "Time Series Modeling: Classical Models and SARIMA". In this work, the Box-Jenkins methodology is implemented to model and forecast time series, using data on the monthly average temperature in Jersey Island. Various steps are taken to identify and fit appropriate SARIMA models for making accurate predictions.

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Yoonyoung-Cho/2019_5th_L.Point_Big_Data_Contest

2019.02.21 우수상 롯데그룹 온라인 쇼핑몰의 온라인 행동데이터를 이용하여 온라인 선호지수 및 주요 상품군별 수요트렌드 예측

Language: R - Size: 19.8 MB - Last synced at: 9 months ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

SayanSomya/Stock-Price-Predictor

Stock Price Prediction

Language: Jupyter Notebook - Size: 380 KB - Last synced at: about 2 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

chandkund/Time-Series-Forecasting

A time series forecasting project using the Airline Passenger dataset. This project leverages ARIMA modeling to predict future passenger numbers by analyzing historical trends and seasonality from 1949-1960. The results demonstrate effective forecasting for better business planning.

Language: Jupyter Notebook - Size: 135 KB - Last synced at: 2 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

chetandudhane/time-series-forecasting

This project is to build Forecasting Models on Time Series data of monthly sales of Rose and Sparkling wines for a certain Wine Estate for the next 12 months.

Language: HTML - Size: 17.9 MB - Last synced at: 9 months ago - Pushed at: over 3 years ago - Stars: 3 - Forks: 2

Ansuman21/Start-up-Funding-Forecast-HPTV-

This project aims to analyze and forecast the total funding amounts of startups using various regression and time series modeling techniques. Initially, we preprocess the dataset, which includes features such as funding amounts, company size, and number of funding rounds. The data is then scaled and split into training and testing sets.

Language: Jupyter Notebook - Size: 5.67 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

farukalamai/rainfall-prediction-and-forecasting

rainfall-prediction-and-forecasting

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nataliabeltranarg/TimeSeriesForecasting-GlovoOrders

Implemented time series forecasting to predict future orders for Glovo, utilizing models such as ARIMA/SARIMA, LASSO, XGBoost, and Linear Regression.

Language: Jupyter Notebook - Size: 9.26 MB - Last synced at: 2 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

sadpepep/Marketing_research_ARIMA_modelling

Analysis of the company's partners, traffic, conversion. Prediction of the traffic using the ARIMA models

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Junxiao-Liao/Stock-Price-Prediction-Based-on-ARIMA-Model

Language: Jupyter Notebook - Size: 800 KB - Last synced at: 10 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

kaypro283/SmoothTrend

SmoothTrend is a comprehensive time series analysis tool that utilizes Holt-Winters, Holt, and Simple Exponential Smoothing methods, as well as ARIMA/SARIMA modeling, to perform advanced trend analysis, stationarity testing, residual analysis, and forecasting.

Language: Python - Size: 245 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

abdelaziz1990/Amazon_Stock_Price_Forecast_ARIMA

Language: Jupyter Notebook - Size: 1.03 MB - Last synced at: 10 months ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

KolanHarsha/Forecasting_U.S._Export_Dynamics-A_Time_Series_Approach

Language: R - Size: 22.5 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

ajitsingh98/Time-Series-Analysis-and-Forecasting-with-Python

Time Series Analysis and Forecasting in Python

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RachitaGurudev/ARIMA

The data of different types of wine sales in the 20th century is to be analysed. Both of these data are from the same company but of different wines. As an analyst in the ABC Estate Wines, you are tasked to analyse and forecast Wine Sales in the 20th century.

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Azie88/Time-Series-Sales-Prediction-ARIMA

Time series forecasting for store sales with ARIMA

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sn2606/Global-Temperature-Time-Series

Time series analysis is performed on the Berkeley Earth Surface Temperature dataset.

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Nailsonseat/Shell_AI_Hackathon

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LM1997610/TimeSeries-KPMG

Master Degree in Data Science - Sapienza Training Camp - Time Series Forecasting with KPMG - July 2024

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Ahmad-Ali-Rafique/Electricity-Consumption-Analysis-Household-Dataset

This repository contains analysis and predictive modeling of household electricity consumption using Python. It includes data cleaning, exploratory data analysis (EDA), time series forecasting (ARIMA, SARIMA, LSTM), and model evaluation to optimize energy usage.

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PRIYANKAANAGPAL/time_series

Time Series Analysis This repository contains codes for performing time series analysis. The main focus is on data manipulation, visualization, and modeling techniques using libraries such as pandas, numpy, matplotlib, and statsmodels. Key topics include data cleaning, removing duplicates, trend and seasonality decomposition, and forecasting

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