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Search results for lstm stock market
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14 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
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
Chase
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58
Automatic trading bot (WIP)
Lstm_prediction_stock_market
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36
This project implements an LSTM (Long Short-Term Memory) model for predicting the future trends of the NASDAQ 100 index. The model is trained using different combinations of hyperparameters to find the best configuration for accurate predictions.
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.
Forecast Of Time Series With Stock Data
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16
Comparative Analysis of Techniques for Forecasting Time Series in Financial Markets
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)
Crypton X
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12
Cryptocurrency market cap-price prediction and visualization web app
Stock_price_forecasting_hybrid_model
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11
Stock closing and opening forecasting using Deep neural network and LSTM(technical indicators included)
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.
Stock X
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7
NN models designed to analyze and predict stock market from any stock data given
Stock Price Specific Lstm
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6
This is a basic LSTM application on stock (securities) market. The project uses Keras+ Tensorflow.
Cryptocurrency_market_prediction
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6
Time Series based analysis of cryptocurrency prediction using deep learning models
Lstm Trader
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5
Implementation of Q learning in stock day trading.
Stock Market
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5
Stock Market Prediction & Trading Bot using AI
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