ashishpapanai/stockDL
A financial deep learning library for stocks price prediction and comparison with traditional investment strategies. The Library is based on LSTM-Neural Networks and Conv1D + LSTM Neural Networks. Investments are subject to market risks, The AUTHOR HOLDS NO RESPONSIBILITY for any financial loss.
No commits in the last 6 months. Available on PyPI.
Stars
36
Forks
12
Language
Python
License
—
Category
Last pushed
Nov 22, 2021
Monthly downloads
65
Commits (30d)
0
Dependencies
7
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/ashishpapanai/stockDL"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related frameworks
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...
jcamiloangarita/stocker
Stock Price Prediction
JordiCorbilla/stock-prediction-deep-neural-learning
Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for...