/solana_sentinment_analysis

For this analysis, we used computational linguistics and biometrics to systematically identify the trend using various news articles and closing prices using the "CoinGecko CSV & Crypto News API"!

Primary LanguageJupyter Notebook

Solana Sentinment Analysis

Team Members

  • Nicholas DePalma
  • Ryan Dibeler
  • Kate Peskova
  • Jamel Harvey

Project Description

A look into various machine learning models, using natural language processing and classification to predict price action.

Research Questions to Answer

  • What is the historical daily sentiment of Solana?
  • What is the historical daily closing price for Solana?
  • How can daily sentinment be used to predict the price action of Solana?

Datasets Used

  • Articles pulled from Crypto News API
  • Closing prices pulled from CoinGecco

Models Used

  • Balanced Random Forrest Classifier
  • Easy Ensemble Classidescentfier
  • Stochastic Gradient

Breakdown of Tasks

  • Use the news API to gather data for articles related to Solona dating back from April 2021
  • Perform a sentinment analysis and set parameters for a binary score to classify positive and negative sentinment
  • Concatenate all data into a single dateframe
  • Train the data and test each model
  • Evaluate the results