CoC Inheritance 2023 || BroCode
Table of Contents
CryptoAnalyser, is an all-in-one platform for staying on top of the dynamic world of cryptocurrencies. This web application not only provides real-time updates on cryptocurrency prices but also harnesses the power of machine learning to predict future price movements. Additionally, CryptoAnalyser offers a user login system, enabling users to track their private cryptocurrency portfolios seamlessly.
- Live Cryptocurrency Prices: Get up-to-date information on cryptocurrency prices, ensuring you stay informed about market trends.
- Machine Learning Predictions: Utilize a machine learning model to predict future cryptocurrency prices. The model employs [your chosen algorithm or model] for accurate predictions.
- User Login and Portfolio Management: Users can create accounts, log in securely, and manage their private cryptocurrency portfolios. Track your investments and analyze your portfolio's performance over time.
- HTML
- CSS
- Javascript
- Material UI
- Tailwind CSS
- React
- Node
- Express
- MongoDB
- Python
- YahooFinance
- CoinLore
- CoinGecko
- Predicting the future prices of cryptocurrencies
- Developed a user-friendly website that displays current statistics of cryptocurrencies and their future market trends.
- A user login system where the user can add their portfolio transactions, and track the respective currencies
- Develop a framework to facilitate buying and selling of cryptocurrencies from the website itself
- Providing personalised advice to every user based on the past and projected performance of all their holdings
Optimize your trading strategies with real-time prices and machine learning predictions.
Securely manage your cryptocurrency portfolio, tracking performance effortlessly.
Dive into predictive analytics, using CryptoAnalyser as a valuable resource for market analysis.
Understand market dynamics, track prices, and learn about machine learning applications in the financial domain.
Ideal for students and educators exploring real-world applications in finance, data science, and machine learning.
- Clone the github repository
- Open terminal in Frontend, and run the command :
npm run dev - Open terminal in python_ml , and run the command :
uvicorn fapi_app:app --reload - Open terminal in server, and run the command (one must create their own MongoDB using the schema in the server folder):
npm start