The project integrated a wide range of information, including technical indicators, sentiment analysis from social media, news sources, and Google Trends, to predict the Bitcoin price. The study also integrated macroeconomic indicators, on-chain Bitcoin transaction history, and traditional financial asset data.
👾 The implementation code for iTransformer and TSMixer has been cited from the original code at https://github.com/hughxx/tsf-new-paper-taste.
You need to install four modules or library: numpy, scipy, pandas, os, tensorflow/keras, sklearn, matplotlib
CPU: Intel(R) Core(TM) i7-10700F CPU @ 2.90GHz 2.90 GHz
RAM: 32.0GB
GPU: NVIDIA GeForce RTX 3070