Open source momentum base trend following systematic trading strategies inspired from top trend following traders (Richard Denis, Olivier Seban and Nick Radge) implemented for various trading platforms as TradingView, cTrader, MetaTrader, Multicharts and TradeStation.

Analyzing trends in the AI landscape over time using Google Trends and visualizing the results using Power BI

This repo contains all code that was used for data analysis process for my research paper. my paper was about estimating the rainfall ratio for himalayan catchment using physchometeri method.

The objective of the project was to create innovative and interactive Tableau dashboards that focus sales of countries, year, trade amount and quantity and YOY growth rate,using various charts and features of tableau

Technical Analysis Library using Pandas and Numpy

Classification Report Sentiment Analysis and Trend Analysis

Pipeline for remotely sensed imagery. The pipeline processes satellite imagery alongside auxiliary data in multiple steps to arrive at a set of trend files related to land-cover changes.

Bayesian Change-Point Detection and Time Series Decomposition

A python package for non parametric Mann Kendall family of trend tests.

📈 A small, fast chart for time series, lines, areas, ohlc & bars

"Conducting a comprehensive evaluation of the North American food and beverage industry, analyzing market trends, emerging flavors, and consumer preferences to provide a holistic understanding of the regional F&B landscape."

Tableau dashboard on natural disasters

What's trending on nostr?

Library for automated signal segmentation, trend classification and analysis.

Data Analytics Projects using SQL, Python, Power BI, Tableau and more.

EngageInsight analyzes user interactions in comment data. It provides insights through visualizations created using Python libraries like Pandas and Matplotlib. The project aims to uncover patterns and trends in user engagement. The visualizations provide an overview of comment lengths, the frequency of different types of replies.

Intrinsic Time-Scale Decomposition

A Tableau dashboard project providing comprehensive insights into soft drink sales trends, allowing for detailed analysis and informed decision-making within the beverage industry.

Analyzing a dataset to understand mental health factors, this project employs Python tools for preprocessing, exploration, segmentation, trend analysis, and modeling.

Using POWER BI to perform data visualization in different domains to show insights, trends and forecasts by using different datasets like excel, csv and SQL.