6779 Open source projects that are alternatives of or similar to Stock Prediction Models

Natural Language Processing with TensorFlow, published by Packt

Stock Market Prediction Web App based on Machine Learning and Sentiment Analysis of Tweets (API keys included in code). The front end of the Web App is based on Flask and Wordpress. The App forecasts stock prices of the next seven days for any given stock under NASDAQ or NSE as input by the user. Predictions are made using three algorithms: ARIMA, LSTM, Linear Regression. The Web App combines the predicted prices of the next seven days with the sentiment analysis of tweets to give recommendation whether the price is going to rise or fall

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Stock Market Analysis and Prediction is the project on technical analysis, visualization and prediction using data provided by Google Finance.

中文聊天机器人，基于10万组对白训练而成，采用注意力机制，对一般问题都会生成一个有意义的答复。已上传模型，可直接运行，跑不起来直播吃键盘。

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Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

Programs for stock prediction and evaluation

Fully Automated IG Trading

lidc nodule detection with CNN and LSTM network

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Implementation of a seq2seq model for summarization of textual data. Demonstrated on amazon reviews, github issues and news articles.

A resource for learning about deep learning techniques from regression to LSTM and Reinforcement Learning using financial data and the fitness functions of algorithmic trading

Explains nlp building blocks in a simple manner.

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

Asynchronous, event-driven algorithmic trading in Python and C++

Alpaca Trading API integrated with backtrader

quantitative security portfolio analysis. The analysis pipeline including data storage abstraction, alpha calculation, ML based alpha combining and portfolio calculation.

Automate swing trading using deep reinforcement learning. The deep deterministic policy gradient-based neural network model trains to choose an action to sell, buy, or hold the stocks to maximize the gain in asset value. The paper also acknowledges the need for a system that predicts the trend in stock value to work along with the reinforcement …

Automatic trading bot (WIP)

Implementation of "Trade the Event: Corporate Events Detection for News-Based Event-Driven Trading." In Findings of ACL2021

Anomaly detection for temporal data using LSTMs

텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)

Pytorch implementation of "Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling" (https://arxiv.org/abs/1609.01454)

Traffic Graph Convolutional Recurrent Neural Network

基於DA-RNN之DSTP-RNN論文試做(Ver1.0)

Stock trading algorithm written in Python for TD Ameritrade.

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Strategies to Gekko trading bot with backtests results and some useful tools.

Technical Analysis Library for Golang

modular quant framework.

Implementation of a seq2seq model for Speech Recognition using the latest version of TensorFlow. Architecture similar to Listen, Attend and Spell.

A Bitcoin trade robot based on Tensorflow LSTM model.Just for fun.

Predicting price trends in cryptomarkets using an lstm-RNN for the use of a trading bot

Neural network that solves math equations on the character level

Example of order book modeling.

A Python Module That Uses ANN To Predict A Stocks Price And Also Provides Accurate Technical Analysis With Many High Potential Implementations!

Attempt to predict future stock prices based on Google Trends data.

Cira algorithmic trading made easy. A Façade library for simpler interaction with alpaca-trade-API from Alpaca Markets.

Fiction generator with Tensorflow. 模仿王小波的风格的小说生成器

Predicting stocks with ML.

Unsupervised Learning to Market Behavior Forecasting Example

Stocktwits market sentiment analysis in Python with Keras and TensorFlow.

Project on financial forecasting using ML. Made by Anson Wong, Juan Garcia & Gudbrand Tandberg

A stock portfolio manager that provides neural net based short-term predictions for stocks and natural language processing based analysis on community sentiments.

基於關聯式新聞提取方法之雙階段注意力機制模型用於股票預測

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

📈📆 Backtest trading strategies concurrently using historical chart data from various financial exchanges.

PyTorch implementation of a 2D-LSTM Seq2Seq Model for NMT.

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Tensorflow implementation of "Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling" (https://arxiv.org/abs/1609.01454)

Activity Recognition from 2D pose using an LSTM RNN