This project explores **deep learning–based time series forecasting** for cryptocurrency prices using **daily OHLCV data**. We compare **Simple RNN** and **LSTM** architectures on **BTC and ETH**, highlighting how model complexity interacts with market volatility.we fetched data from 2021 till 2026

Time Series Analysis with Cryptocurrency focuses on analyzing historical and real-time crypto market data to identify trends, patterns, and future price movements. Using statistical models and deep learning techniques, the project generates forecasts and visual insights through an interactive Streamlit dashboard.

This project builds an end-to-end AI system that: Collects real-world market data (stocks/crypto/commodities) Analyses historical trends using AI Performs sentiment analysis from news & social media Forecasts future prices using deep learning models Generates AI-driven insights & recommendations Presents everything in a professional dashboard

KRYPTOVAL is a web-based application that predicts cryptocurrency prices using a deep learning LSTM model. It fetches real-time data via the yfinance API and provides users with future price forecasts through a simple interface built with Flask, aiming to offer insights into the volatile crypto market.