Gekko Trading Bot dataset dumps. Ready to use and download history files in SQLite format.

Gekko backtesting scripts (Bruteforce parameters)

The scripts used for the SC-seq part done with Seurat and SCANPY for Assembly and Single-cell analysis of Gekko gecko. BAFSTUsincelN.ipynb = Python script for neck samples. SCchicbackanalysis.Rmd/pdf = R script for back samples. ScTypeDB_full.xlsx = dataset used in r script. web_summaryB/N.html is CR visualization for Back and Neck samples.

This project demonstrates how synthetic data generated using GEKKO optimization is leveraged to train and compare multiple machine learning models. A simple mathematical system is simulated, datasets are created, and models including Linear Regression, Decision Tree, Random Forest, SVR, and Gradient Boosting are evaluated using RMSE.