Intellitrax: Leveraging Stochastic Volatility for Time Series Forecasting and External Factor Analysis

/ Generative AI on AWS use cases, Time Series Forecasting & Demand Forecasting / By

Description

Intellitrax integrates Generative AI with Time Series Forecasting to enhance cryptocurrency trading decisions, offering real-time insights, trend tracking, and strategy analysis. It features customizable trading modes—Risk-Averse, Active Trader, and Learning—empowering users with tailored predictions and risk evaluations.

Practical Use Case and User Story

As a trader, I need Intellitrax to provide real-time cryptocurrency market insights with customizable intervals and technical indicators. The platform should offer personalized trading modes—Risk-Averse, Active Trader, and Learning—using fine-tuned AI models to suit my trading style. It must also apply forecasting models to predict price fluctuations and deliver actionable insights for informed decision-making.

Tech Stack Involved

  • Languages and Frameworks: Python
  • Forecasting Models: ARIMA, SARIMAX, Auto Regressor, LightGBM, Neural Prophet
  • Generative AI and LLMs: GPT-3.5 Turbo, GPT-4, Llama
  • Natural Language Processing (NLP): For sentiment analysis and market predictions
  • Cloud Services: AWS Lambda for serverless computing, Amazon API Gateway for API management
  • Data Visualization: Real-time graphs and indicators for market trends and trading strategies

Demo

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