README.md

---
language: en
library_name: pytorch
model_name: DataSynthis_ML_JobTask
tags:
- time-series
- forecasting
- lstm
- tesla
task: time-series-forecasting
license: mit
---

# DataSynthis_ML_JobTask — LSTM (Multivariate)

This repo hosts a PyTorch LSTM with attention for multivariate stock forecasting (OHLCV + technicals).

Included artifacts:
- pytorch_model.bin
- config.json
- training_stats.json
- preprocessing.json

Quick usage:
1) Recreate the LSTM architecture from the notebook and load `pytorch_model.bin` into it
2) Use `config.json` for feature list and `seq_length`
3) Apply scaling with the parameters in `preprocessing.json`:
   - Transform: X_scaled = X * scale_ + min_
   - Inverse: X = (X_scaled - min_) / scale_