Awesome Open Source
Search
Programming Languages
Languages
All Categories
Categories
About
Search results for jupyter notebook stock prices
jupyter-notebook
x
stock-prices
x
20 search results found
Finmind
⭐
2,003
Open Data, more than 50 financial data. 提供超過 50 個金融資料(台股為主),每天更新 https://finmind.github.io/
Financedatareader
⭐
1,004
Financial data reader
How To Predict Stock Prices Easily Demo
⭐
699
How to Predict Stock Prices Easily - Intro to Deep Learning #7 by Siraj Raval on Youtube
Stock Prediction Deep Neural Learning
⭐
385
Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting
Stock Analysis
⭐
366
Regression, Scrapers, and Visualization
Simplestockanalysispython
⭐
269
Teaches step-by-step to analysis stock data in python.
Warren
⭐
214
Web app to predict closing stock prices in real time using Facebook's Prophet time series algorithm with a multi-variate, single-step time series forecasting strategy.
Stock Price Predictor
⭐
107
This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.
Time Series Forecasting Of Amazon Stock Prices Using Neural Networks Lstm And Gan
⭐
71
Project analyzes Amazon Stock data using Python. Feature Extraction is performed and ARIMA and Fourier series models are made. LSTM is used with multiple features to predict stock prices and then sentimental analysis is performed using news and reddit sentiments. GANs are used to predict stock data too where Amazon data is taken from an API as Generator and CNNs are used as discriminator.
Stockmarketml
⭐
32
Predicting stocks with ML.
Stock Price Prediction Model
⭐
31
Stock Price prediction using news data. The datasets used consists news and stock price data from 2008 to 2016. The polarity(Subjectivity, Objectivity, Positive, Negative, Neutral) data is gathered from the news data and further used to predict stock prices. Achieved an accuracy of 94% using XGBoost.
Trading Strategies In Emerging Markets Coursera
⭐
28
Design your own Trading Strategy
Lstm Stock Prices
⭐
21
This project goal is to demonstrate how to use LSTM networks and apply in some real data.
Conjexure A Web App For Stock Market Forecasting
⭐
20
Conjexure is a machine learning web app for forecasting the stock prices of certain companies into the future.
Recurrent Neural Network To Predict Stock Prices
⭐
18
Recurrent Neural Network to Predict Tesla Stock Prices (TensorFlow and Keras)
Python For Finance Notes
⭐
14
Python notes on finance
Stock Prediction Using News Info Sentiment
⭐
14
Application of LSTM on stock data with integration of news info. It turns out that finance and political news directly relate to the stock prices.
Deep_trading
⭐
14
This project aims to select a supervised algorithm that can predict stock prices basing on historical data and use the predictor generated to form trading strategies.
Earnings Calls Nlp
⭐
11
Machine Learning Natural Language Processing analysis of earnings call transcripts for logistic regression classification to make 'buy', 'sell' or 'hold' calls on stocks.
Cnn
⭐
10
Using fastai and CNNs to predict stock prices
Inverse_reinforcement_learning_for_stocks
⭐
6
Implement the model of Halperin and Feldshteyn for DJIA and SP500
Related Searches
Python Jupyter Notebook (16,242)
Jupyter Notebook Deep Learning (9,123)
Jupyter Notebook Machine Learning (8,463)
Jupyter Notebook Dataset (6,824)
Jupyter Notebook Tensorflow (4,771)
Jupyter Notebook Data Science (4,509)
Jupyter Notebook Convolutional Neural Networks (4,218)
Jupyter Notebook Classification (3,939)
Jupyter Notebook Neural (3,926)
Jupyter Notebook Pytorch (3,877)
1-20 of 20 search results
Privacy
|
About
|
Terms
|
Follow Us On Twitter
Copyright 2018-2024 Awesome Open Source. All rights reserved.