Repository contains a package with functions for data analytics

Worked on RBI dataset and predicted India External Debt for next 6 years (2020-2025) using ARIMA model.

Splitting data, Moving Average, Time series decomposition plot, ACF plots and PACF plots, Evaluation Metric MAPE, Simple Exponential Method, Holt method, Holts winter exponential smoothing with additive seasonality and additive trend, Holts winter exponential smoothing with multiplicative seasonality and additive trend, Final Model by combining …

Forecast the Airlines Passengers and CocaCola Prices data set. Prepare a document for model explaining. How many dummy variables you have created and RMSE value for model. Finally which model you will use for Forecasting.

Stock prediction web-app to predict the trend. This web app gives prediction for almost 5000 stocks and uses LSTM model for prediction of price of the stock for a day by processing the past 100 days.

Demonstration of time series analysis using various concepts and models.

Different Time Series Forecasting Methods Like Moving Average, ETS, ARIMA, SARIMA, ARCH GARCH VAR

This repository focuses on optimizing a trend-based trading strategy for the EURUSD currency pair. By combining PSO and GA, the goal is to maximize returns while minimizing risk. The strategy considers buy and sell signals based on Supertrend and EMA conditions, with a fixed commission of 3 pips per trade.

Keltner Channel is a price channel indicator developed by Chester W. Keltner back in 1960.

Rolling and moving averages for irregular time series

Standard Data Analysis Process / Data Wrangling/ Data Visualizations/ Trend Analysis

ExcelR_Assignment---Forecasting---Assignment---18

Speed comparisons for calculating columns in Polars dataframes

Metatrader tools to better understand moving averages variations

Time-series forecasting tecniques applied to the stock market

Time Series Analysis and Forecast System

Discussed various methodologies that may help while implementing Time Series

This repository contains introductory notebooks for forecasting

Toolbox for calculating moving window statistics FAST!