Vaibhavkkm/tsla-stock-prediction-lstm

LSTM-based model for predicting Tesla (TSLA) stock prices using historical data, technical indicators, and PCA, with future price forecasting.

/ 100

Experimental

No commits in the last 6 months.

Stale 6m No Package No Dependents

Maintenance 2 / 25

Adoption 0 / 25

Maturity 9 / 25

Community 0 / 25

Stars

—

Forks

—

Language

Jupyter Notebook

License

GPL-3.0

Category

Last pushed

May 26, 2025

Commits (30d)

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/Vaibhavkkm/tsla-stock-prediction-lstm"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.

Higher-rated alternatives

rafa-rod/pytrendseries

Detect trend in time series, drawdown, drawdown within a constant look-back window , maximum...

TimRivoli/Stock-Price-Trade-Analyzer

This is a Python 3 project for analyzing stock prices and methods of stock trading. It uses...

LeonardoBerti00/TLOB

This is the official repository for the paper TLOB: A Novel Transformer Model with Dual...

JordiCorbilla/stock-prediction-deep-neural-learning

Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for...

jcamiloangarita/stocker

Stock Price Prediction