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Name: tradeX.ai
Type: User
Company: tradex.ai
Blog: tradex.ai
Name: tradeX.ai
Type: User
Company: tradex.ai
Blog: tradex.ai
stock,股票系统。使用python进行开发。
This is a Mini Project on visulization of stock data of various large companies (ex.google, ebay ,twitter etc) using yahoo finance API. The code is developed in Python and the module used is matplotlib and other necessary modules.
Stock Market Analysis and Prediction is the project on technical analysis, visualization and prediction using data provided by Google Finance.
Gathers machine learning and deep learning models for Stock forecasting, included trading bots and simulations
Using TensorFlow machine learning and Twitter sentiment analysis to predict stock trends
Predicts next five days prices for NASDAQ stocks using Python 3.7, Flask and yahoo finance libraries.
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.
Predict stock market prices using RNN model with multilayer LSTM cells + optional multi-stock embeddings.
It is a python module for virtual stock trading, involving the ARIMA model to predict the future stock trend based on previous prices.
Using Google Colaboratory to Train Prediction models for Stock Trend Prediction (NSE India)
python scripts for stock market trend prediction with news article by machine learning technique
Deep Learning Stock Volatility with Google Domestic Trends: https://arxiv.org/pdf/1512.04916.pdf
通过雪球,果仁, 同花顺等等的股票接口,做价值投资的初筛,生成一些有用的图表,辅助股票投资
This is the code for "Stock Market Prediction" by Siraj Raval on Youtube
Creates stocks to invest in over a weekly period, by comparing current trends to previous using a differences of matrix multiplation.
stock prediction
针对沪深300指数的历史交易数据,通过机器学习的方法,预测股票的价格(涨跌概率),并借此来形成相应的交易策略。
The random forest, FFNN, CNN and RNN models are developed to predict the movement of future trading price of Netflix (NFLX) stock using transaction data from the Limit Order Book (LOB).
Predicts the stock trend for next day and next 6 days too
:dart: predict the price trend of individual stocks using deep learning and natural language processing
Study the co-fluctuation of stocks and visualize the the stock market structure
Keras 1D CNN on Azure ML Workbench to classify 4 week stock performance based on text in public earnings statements
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
xgboost 股票推荐
Stock price prediction with LSTMs in TensorFlow
A python package to calculate trends in stocks using Renko, PnF, LineBreak etc
Stock price trend prediction with news sentiment analysis using deep learning
Based on the CIFAR10 example on TensorFlow. Reconfiguring it to run my own images and data.
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