Market Analysis of Data for Cryptocurrencies
Like the cryptocurrency market develops in prominence, so does the urge to keep a close eye on price patterns in order to make prudent financial decisions. The general public's awareness and sources in this market are currently limited. We find a way to put all of the pricing patterns and whereabouts of crypto to this specific place, making it more accessible to developers working on related products as well as ordinary retail investors aiming to make superior data-backed investment strategies. Taking the above in perspective, we have created a Python package which will use API requests to gather information for all crypto currencies, to visualize and then analyse and anticipate price trends. To retrieve specific stories regarding the input currency, we'll mainly employ web scraping and natural language processing.
| Sno. | Name of the Class | Functionality |
|---|---|---|
| 1. | CryptoHistory | Offers methods for generating historical market data depending on selected crypto currency and time range |
| 2 | CryptoCurrent | Offers methods whose primary goal is to deliver most up-to -date information for a given cryptocurrency in global market |
| 3 | TopCrypto | Offers market capitalization-based pricing and volume information for the top cryptocurrencies |
| 4. | CryptoPredict | Offers to predict and visualize the price range for a particular time frame based on the trading pair that is mentioned |
| 5. | CryptoNews | Offers to visualise latest news regarding a currency and it effects on the market. |
The vision behind this package is to be one spot for everything Crypto. Meaning, every bit of info possible to acquire regarding these currencies, to be, in a confident spot to visualize the market trend, plan business strategies and eventually gain profit without much hassle. Data that is readily available to the end user who decides how they want to make use of it to succeed in their end goal.
Amritanj Ayush, Parthasarthy Murugesan,Shagun Saboo,Shweta Mishra