mishrabp/mlstocks-goog-linear-regression-69

GOOG-technical-ml-linear-regression-342

This model was trained using MLStocks NEXUS Builder to predict stock prices for GOOG.

Model Details

• Type: Linear Regression
• Target Asset: GOOG
• Created At: 2026-02-03 14:37:10.987206

Performance Metrics

• MSE (Mean Squared Error): 10.849765630886363
• R² Score: 0.9919539965764965

Training Data

Dataset Size

• Total Samples: 1249 data points
• Training Set: 999 samples
• Test Set: 250 samples

Features Used (7)

• sma_20
• sma_50
• ema_9
• macd
• close_lag_1
• rolling_mean_5
• price_change

Usage

from huggingface_hub import hf_hub_download
import joblib

model_path = hf_hub_download(repo_id="mishrabp/mlstocks-goog-linear-regression-69", filename="model.joblib")
model = joblib.load(model_path)