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tradeX.ai's Projects

stock-3 icon stock-3

stock,股票系统。使用python进行开发。

stock-data-visulization-using-yahoo-finance-api icon stock-data-visulization-using-yahoo-finance-api

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-prediction-models icon stock-prediction-models

Gathers machine learning and deep learning models for Stock forecasting, included trading bots and simulations

stock-predictions icon stock-predictions

Using TensorFlow machine learning and Twitter sentiment analysis to predict stock trends

stock-predictor icon stock-predictor

Predicts next five days prices for NASDAQ stocks using Python 3.7, Flask and yahoo finance libraries.

stock-price-prediction-model icon stock-price-prediction-model

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.

stock-rnn icon stock-rnn

Predict stock market prices using RNN model with multilayer LSTM cells + optional multi-stock embeddings.

stock-trader icon stock-trader

It is a python module for virtual stock trading, involving the ARIMA model to predict the future stock trend based on previous prices.

stock_discover icon stock_discover

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

stock_picker icon stock_picker

Creates stocks to invest in over a weekly period, by comparing current trends to previous using a differences of matrix multiplation.

stock_predict_machinelearning icon stock_predict_machinelearning

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。

stock_price_movement_prediction_rnn_cnn_ffnn icon stock_price_movement_prediction_rnn_cnn_ffnn

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).

stockforecast icon stockforecast

:dart: predict the price trend of individual stocks using deep learning and natural language processing

stockpredictionai icon stockpredictionai

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.

stocks_rnn icon stocks_rnn

Stock price prediction with LSTMs in TensorFlow

stocktrends icon stocktrends

A python package to calculate trends in stocks using Renko, PnF, LineBreak etc

strtsmrt icon strtsmrt

Stock price trend prediction with news sentiment analysis using deep learning

svhn icon svhn

Based on the CIFAR10 example on TensorFlow. Reconfiguring it to run my own images and data.

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