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Search results for stock lstm
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75 search results found
Stock Prediction Models
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6,233
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
Lstm Neural Network For Time Series Prediction
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4,220
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
Stockpredictionai
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3,235
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 q
Stock Rnn
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1,339
Predict stock market prices using RNN model with multilayer LSTM cells + optional multi-stock embeddings.
Stockpriceprediction
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1,132
Stock Price Prediction using Machine Learning Techniques
Personae
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1,034
📈 Personae is a repo of implements and environment of Deep Reinforcement Learning & Supervised Learning for Quantitative Trading.
Stock Market Prediction Web App Using Machine Learning And Sentiment Analysis
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460
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
Stock Price Prediction Lstm
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425
OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network
Stocks_rnn
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405
Stock price prediction with LSTMs in TensorFlow
Stock Prediction Deep Neural Learning
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385
Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting
Stock_predict_with_lstm
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286
Predict stock with LSTM supporting pytorch, keras and tensorflow
Lstm_rnn_tutorials_with_demo
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268
LSTM-RNN Tutorial with LSTM and RNN Tutorial with Demo with Demo Projects such as Stock/Bitcoin Time Series Prediction, Sentiment Analysis, Music Generation using Keras-Tensorflow
Stock Trading Ml
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238
A stock trading bot that uses machine learning to make price predictions.
Deeptrade_keras
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215
Deeptrade
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211
A LSTM model using Risk Estimation loss function for stock trades in market
Stock Market Forecasting
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136
Forecasting directional movements of stock prices for intraday trading using LSTM and random forest
Real Time Stock Market Prediction Using Ensemble Dl And Rainbow Dqn
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125
Stock Market Trend Analysis Using Hmm Lstm
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116
Stock Market Trend Analysis Using Hidden Markov Model and Long Short Term Memory
Stocker
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108
Stock Price Prediction
Stock Price Predictor
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107
This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.
Hs300_stock_predict
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98
该项目用于对沪深300股票的预测,包括股票下载,数据清洗,LSTM 模型的训练,测试,以及实时预测
Copper_price_forecast
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73
copper price(time series) prediction using bpnn and lstm
Time Series Forecasting Of Amazon Stock Prices Using Neural Networks Lstm And Gan
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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.
Time Series Forecasting Tensorflowjs
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69
Pull stock prices from online API and perform predictions using Long Short Term Memory (LSTM) with TensorFlow.js framework
Treasurebot
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62
A bot for financial signal
Stock Price Trade Analyzer
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60
This is a Python 3.0 project for analyzing stock prices and methods of stock trading. It uses native Python tools and Google TensorFlow machine learning.
Chase
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58
Automatic trading bot (WIP)
Stock Price Predict
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52
Implementation of seq2seq with attention in keras
Lstm_stock
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41
基于LSTM的股票数据分析,数据来源于Tushare
Stocknn
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39
Stock Market Prediction Using Neural Network Models (Backpropagation, RNN LSTM, RBF) using keras with Tensorflow backend
Stock Prediction
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37
LSTM RNN for sentiment-based stock prediction
Stock Predict By Rnn Lstm
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36
Stock prediction project using Recurrent Neural Network and LSTM
Market Trend Prediction
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32
This is a project of build knowledge graph course. The project leverages historical stock price, and integrates social media listening from customers to predict market Trend On Dow Jones Industrial Average (DJIA).
Rnn Stocks Prediction
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30
Another attempt to use Deep-Learning in the financial markets
Tesla Stocks Prediction
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29
The implementation of LSTM in TensorFlow used for the stock prediction.
Agatha
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28
Stock market prediction using Keras
Stock Market Price Prediction
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25
Analysis of various deep learning based models for financial time series data using convolutions, recurrent neural networks (lstm), dilated convolutions and residual learning
Stocky
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25
Machine Learning Stock Trading Risk Analysis (Spring 2017)
Stock_prediction_model_using_attention_multilayer_rnn_lstm
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24
RNN - Stock Prediction Model using Attention Multilayer Recurrent Neural Networks with LSTM Cells
Paper Implementation Dstp Rnn For Stock Prediction Based On Da Rnn
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24
基於DA-RNN之DSTP-RNN論文試做(Ver1.0)
Senn
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23
Code implementation of "SENN: Stock Ensemble-based Neural Network for Stock Market Prediction using Historical Stock Data and Sentiment Analysis"
Stock Prediction
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22
Implementation of stock technical indicators and deep LSTM for closing price 30-day lookahead predictions (for learning purposes only).
Base On Relation Method Extract News Da Rnn Model For Stock Prediction Pytorch
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21
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
Stock Predictor V4
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21
A reinforcement learning model specialized in stock prediction utilizing deep learning techniques, incorporating reward mechanisms, compatible with any machine equipped with Python.
Tutorials
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19
Machine Learning Tutorials & Fundamentals
Tradingofartificialintelligence
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17
人工智能量化交易
Stock Analyser
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17
📈 Stocks technical analysis code collection and Stocks data platform.
Stockdl
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16
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.
Forecast Of Time Series With Stock Data
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16
Comparative Analysis of Techniques for Forecasting Time Series in Financial Markets
Stock Market Predictor
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16
Stock Market Predictor with LSTM network. Web scraping and analyzing tools (ohlc, mean)
Recurrent Neural Networks To Predict Google Stock Price
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15
I tried to predict google stock price using LSTMs
Alfred
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15
💰 Interactive dashboard for Stock Market Investments
Stock Prediction Algorithm Based On Machine Learning
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14
基于机器学习的股票投资算法,使用到了Auto-ARIMA、LSTM、SVM、Prophet、朴素贝叶
Stock Prediction
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13
stock predict by cnn and lstm
Stockpredictionwithsentiment
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12
This repository delineates the affect of social perception on the stock price of a company
Investsmart Stock Market Predictor
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12
A web app implemeted with ML algo to make prediction on stock data, made on Django framework.(Stock-Market-predictor)
Golden_touch
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12
Predict the price of gold using sequence generation via ANNs with LSTM neurons
Stock_price_forecasting_hybrid_model
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11
Stock closing and opening forecasting using Deep neural network and LSTM(technical indicators included)
Tbase
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11
Baselines of reinforcement learning trading agents for China stock market
Analysis Of Stock High Frequent Data With Lstm
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11
A simply framework of researching stock data through LSTM by Tensorflow
Predicting The Closing Stock Price Of Apple Using Lstm
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10
In this project we will be looking at data from the stock market, particularly some technology stocks. We will learn how to use pandas to get stock information, visualize different aspects of it, and finally we will look at a few ways of analyzing the risk of a stock, based on its previous performance history.
Rnn_lstm_stock_model
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10
Using recurrent neural networks with LSTM cells to predict stock prices. Takes into account twitter trends.
Stock Price Predictor
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9
Building an LSTM Recurrent Neural Network for Predicting Stock Market Prices.
Final Year Machine Learning Stock Price Prediction Project
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9
Final Year B.tech Project on Machine Learning Stock Prediction through Deep Learning
Zfundpredictor
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8
A Fund Price Prediction Framework (LSTM-based, web scraping included) 天天基金网爬虫+基金预测
Ml4t
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8
Machine Learning for Trading
Stock Price Predictor
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7
🤖 Predicting the stock price with LSTM (Deep Learning)
Stock_price_predictor
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7
Stock Price Predictor with Deep Learning
Daytrading Rnn
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7
a day trading strategy based on lstm
Pocketanalyst
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7
Cal Hacks 6.0 Project (Best Goldman Sachs API Implementation): Interacts with the user via a chat bot and makes reliable investment recommendations based on various Machine Learning models.
Stocks Prediction
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7
Predicting stocks and commodity prices using Python
Stock Price Predictor Bist100
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6
Practicing LSTM models on Keras. Predicting stock price trends of BIST100 [Oct 22, 2017 - Apr 22, 2018]
Predicting Stock Prices With Lstm Keras
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6
Dp Lstm Differential Privacy Inspired Lstm For Stock Prediction Using Financial News
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6
Ik1701_fyp
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6
Stock Market Prediction with Social Media and News Data through a Deep Learning Model
Options_trading
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6
This is my insight project for options trading
Stock Price Specific Lstm
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6
This is a basic LSTM application on stock (securities) market. The project uses Keras+ Tensorflow.
Predict Stock With Lstm
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5
LSTM network that predicts stock momentum
Stock Market
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5
Stock Market Prediction & Trading Bot using AI
Lstm Trader
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5
Implementation of Q learning in stock day trading.
Rnn_lstm_trading_model
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5
This project explores stock trading modelling with the use recurrent neural network (RNN) with long-short term memory (LSTM) architecture. This is for single stock prediction and backtesting, another RNN LSTM network and backtester for multiple-stock portfolio will be added soon.
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