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Real-time-stock-market-prediction related contents

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  • 007-koeffel / tokyo_stock_predictions

    Real-time-stock-market-prediction, Success in any financial market requires one to identify solid investments. When a stock or derivative is undervalued, it makes sense to buy. If it's overvalued, perhaps it's time to sell. While these finance decisions were historically made manually by professionals, technology has ushered in new opportunities for retail investors. Data scientists, specifically, may be interested to explore quantitative trading, where decisions are executed programmatically based on predictions from trained models. There are plenty of existing quantitative trading efforts used to analyze financial markets and formulate investment strategies. To create and execute such a strategy requires both historical and real-time data, which is difficult to obtain especially for retail investors. This competition will provide financial data for the Japanese market, allowing retail investors to analyze the market to the fullest extent. Japan Exchange Group, Inc. (JPX) is a holding company operating one of the largest stock exchanges in the world, Tokyo Stock Exchange (TSE), and derivatives exchanges Osaka Exchange (OSE) and Tokyo Commodity Exchange (TOCOM). JPX is hosting this competition and is supported by AI technology company AlpacaJapan Co.,Ltd. This competition will compare your models against real future returns after the training phase is complete. The competition will involve building portfolios from the stocks eligible for predictions (around 2,000 stocks). Specifically, each participant ranks the stocks from highest to lowest expected returns and is evaluated on the difference in returns between the top and bottom 200 stocks. You'll have access to financial data from the Japanese market, such as stock information and historical stock prices to train and test your model. All winning models will be made public so that other participants can learn from the outstanding models. Excellent models also may increase the interest in the market among retail investors, including those who want to practice quantitative trading. At the same time, you'll gain your own insights into programmatic investment methods and portfolio analysis―and you may even discover you have an affinity for the Japanese market.

    From user 007-koeffel

  • anurag-moudgil / smarpma

    Real-time-stock-market-prediction, Stock Market Prediction Models’ Analyzer: ▪ Trained and tested Machine Learning Models on Real-Time stock market data of companies (like GOOGLE, AMAZON etc.) to get the best Machine Learning model to predict the variations in price▪ Technologies Used- Python (Libraries- “BeautifulSoup”, “urllib2”, “Tkinter”) & R Programming.

    From user anurag-moudgil

  • ck011 / stock-market-analysis

    Real-time-stock-market-prediction, Stock Market Analysis and Prediction is the project related to Exploratory data analysis(EDA), Data visualization and Predictive analysis using data, provided by The Investors Exchange (IEX). I looked at real-time financial data from the stock market. I have used python libraries to get stock information, visualize different aspects of it, and finally I worked at a few ways of analyzing the risk of a stock, based on its previous performance history. I have also used statistical method called Monte Carlo Method to predict future stock prices.

    From user ck011

  • daksh-intwala / s-p500-stock-analysis-and-lstm-model-prediction

    Real-time-stock-market-prediction, Detailed EDA performed in DataBricks environment wherein ETL was done through PySpark. LSTM model was trained and effective predictions were made with minimal Mean Square Error. The aim was to guide beginners in investing stock market and how S&P500 stock can be a safe heaven for the passive investors and a real-time big investment opportunity for venture capitalists.

    From user daksh-intwala

  • endeavour3 / stock-market-prediction-using-machine-learning

    Real-time-stock-market-prediction, Stock market prediction using machine learning leverages historical and real-time financial data to build predictive models. These models analyze market indicators, news sentiment, and technical data to forecast future stock prices and trends.

    From user endeavour3

  • hrshl04 / stock-market-predictor

    Real-time-stock-market-prediction, This project uses machine learning to predict stock market prices and creates a user-friendly web interface using HTML, CSS, and Dash. Users can input stock symbols, view historical data, and receive real- time predictions for informed investment decisions.

    From user hrshl04

  • kianhaghighi / stock-forecast-pro

    Real-time-stock-market-prediction, This repository contains a web app built w/ Django, Streamlit & Pyplot, that allows user to visualize & predict stock market trends using data from Yahoo Finance & Alpha Vantage APIs. Features include user registration, portfolio management, real-time updates, prediction models, stock comparison.

    From user kianhaghighi

  • kumbharedu / eda_stockmarket_dataset

    Real-time-stock-market-prediction, Stock Market Analysis and Prediction is the project related to Exploratory data analysis(EDA), Data visualization and Predictive analysis using data, provided by [The Investors Exchange (IEX)](https://iextrading.com/apps/stocks/). I looked at real-time financial data from the stock market.

    From user kumbharedu

  • manthan47854 / stock-price-prediction

    Real-time-stock-market-prediction, Stock Market Prediction Web App: Empower users with real-time stock forecasts via LSTM models. Streamlit-based interface, data-driven insights, and model transparency enhance decision-making in financial markets.

    From user manthan47854

  • muzammilmemonz78 / stock-market-analysis-nye

    Real-time-stock-market-prediction, Stock-Market-Analysis Analysis and prediction of the real-time stock market trend for investment decision making. Accessed real time ticker data from yfinance for user-chosen timeframe. Performed descriptive analysis (Mean, Std, Min, Max, Range, Quartiles) Visualized several plots for trend understanding (Raw plots, Moving Average, Daily Returns, MACD, Buy-Sell Signals, Weighted Moving Average) Use of Arima and Linear Regression for trend prediction. The script can be executed by running the Stockquotes.py file

    From user muzammilmemonz78

  • oisavictor / stock-market-predictor

    Real-time-stock-market-prediction, A web and mobile platform that allows users to share their stock market predictions and discuss stocks with other traders in real-time.

    From user oisavictor

  • poonam3030 / gold-price-prediction

    Real-time-stock-market-prediction, There are many real time series dataset present in the market. Mostly, time series dataset used in stock market. By using machine learning algorithm , prediction of future values take place. In this project, prediction of future values(30 days) taken place using LSTM.

    From user poonam3030

  • timothypowell / stocktracker

    Real-time-stock-market-prediction, A easy-to-use stock analyzer and predictor that uses information from all stock market data sources to make real-time, accurate predictions.

    From user timothypowell

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