This project is an Automated Cryptocurrency Data Pipeline and Analysis System built using Apache Airflow and PostgreSQL. It hourly fetches price and market data for a selection of major cryptocurrencies from the CoinGecko API, stores the history in a database, and provides a Python utility for performing time series analysis.

Cryptocurrency market analysis using the CoinGecko API with basic ML regression.

Python cryptocurrency tracker using CoinGecko API with price comparison and market analysis

A Telegram bot that provides cryptocurrency price information and market insights using CoinGecko API and AI-powered analysis.

Practical exploration of crypto market data using the CoinGecko API. Includes data collection, basic analysis, and visual insights to understand distributions and relationships between cryptocurrencies.

A Big Data pipeline for cryptocurrency market analysis using CoinGecko API for data ingestion, HDFS for raw storage, Python MapReduce for transformation, HBase for structured storage, and Apache Airflow for orchestration.

Cryptal is an open-source R Shiny app that provides real-time cryptocurrency market data, fundamental and technical analysis, and AI-powered investment insights. Built using the CoinGecko API, it delivers actionable analytics for over 100 cryptocurrencies in a modern, responsive interface.

Scarping last 30 days bitcoin price movement Data from Coingecko API using use the PyCoinGecko Python Wrapper

Automated cryptocurrency tracking and daily reporting system using n8n, CoinGecko API, and Gmail for market analysis.

Python project that automates cryptocurrency market data retrieval using the CoinGecko API, fetching live prices, market cap, and volume for analysis.

Exploratory data analysis of the cryptocurrency market using CoinGecko API, focusing on returns, volatility, and risk-adjusted performance.

A React-based cryptocurrency tracker that displays real-time market data, price charts, and coin analysis using the CoinGecko API.

💬 "An end-to-end Business Intelligence project for cryptocurrency market analysis using CoinGecko API, Power BI, and Python-based ETL pipeline."

A modern, production-ready cryptocurrency dashboard built with React, TypeScript, and Tailwind CSS. This application provides real-time market data, trending cryptocurrencies, and comprehensive market analysis using the CoinGecko API.

AI-powered cryptocurrency risk and price trend analysis web application built using Flask and CoinGecko API. This project analyzes short-term market behavior and presents risk insights for educational purposes.

A React.Js Cryptocurrency Web App That Fetches Real-Time Coin Data Using The CoinGecko API, Featuring Detailed Coin Statistics, Market Data, And Interactive Charts For Price Analysis Over Customizable Date Ranges Using Chart.Js.

CoinGecko Token Ranking Dashboard 🚀 A Streamlit-based dashboard that ranks cryptocurrency tokens using custom metrics and CoinGecko API data. Features ranking by market cap tiers, detailed metric analysis, and visualizations for top-performing tokens. Perfect for traders and analysts seeking data-driven insights.

This project focuses on analyzing and forecasting cryptocurrency price movements using time series analysis techniques. It leverages historical market data collected from the CoinGecko API and applies statistical and deep learning models to predict future prices.

A Python tool that analyzes cryptocurrency price data to calculate volatility, risk metrics, and market trends using the CoinGecko API. Generates CSV files, plots price movement, and helps traders understand crypto risk with simple, fast, and accurate analysis.

An interactive Power BI dashboard designed to analyze and forecast cryptocurrency markets. Integrated CoinGecko API for live and historical data with multi‑currency support (INR, USD) using Power Query transformations with appending datasets, and writing DAX measures for returns, normalization, and multi‑coin analysis.

Unlock the Secrets of Cryptocurrency with our Cutting-edge Analysis App! Dive deep into the world of digital assets using real-time data from the CoinGecko API. Stay informed, make strategic decisions, and ride the waves of the crypto market with confidence. Your gateway to comprehensive crypto insights awaits!

An automated ETL pipeline that extracts real-time cryptocurrency market data from the CoinGecko API, transforms it using Python and Pandas, and loads it into a PostgreSQL data warehouse. Includes a scheduler that automates daily runs at 6:00 AM, making the data ready for analysis and dashboarding in Power BI.

I developed this Crypto Data Analyser is a Python project that fetches, analyses, and presents real-time data for the top 50 cryptocurrencies by market cap using the CoinGecko API. It collects key metrics like price, market cap, volume, and 24-hour changes, updating the data every 5 minutes in an Excel sheet for easy access and analysis.

Crypto Live Data Analysis: A Python project that fetches real-time data for the top 50 cryptocurrencies via the CoinGecko API. It analyzes market cap, average price, and 24h % changes, auto-updating an Excel file every 5 minutes. Uses requests, pandas, and openpyxl for real-time insights.