Real-time-stock-market-prediction related contents

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767472021 / oneworld

7.0 7.0 5.0

Real-time-stock-market-prediction, https://www.kaggle.com/c/jane-street-market-prediction/overview “Buy low, sell high.” It sounds so easy…. In reality, trading for profit has always been a difficult problem to solve, even more so in today’s fast-moving and complex financial markets. Electronic trading allows for thousands of transactions to occur within a fraction of a second, resulting in nearly unlimited opportunities to potentially find and take advantage of price differences in real time. In a perfectly efficient market, buyers and sellers would have all the agency and information needed to make rational trading decisions. As a result, products would always remain at their “fair values” and never be undervalued or overpriced. However, financial markets are not perfectly efficient in the real world. Developing trading strategies to identify and take advantage of inefficiencies is challenging. Even if a strategy is profitable now, it may not be in the future, and market volatility makes it impossible to predict the profitability of any given trade with certainty. As a result, it can be hard to distinguish good luck from having made a good trading decision. In the first three months of this challenge, you will build your own quantitative trading model to maximize returns using market data from a major global stock exchange. Next, you’ll test the predictiveness of your models against future market returns and receive feedback on the leaderboard. Your challenge will be to use the historical data, mathematical tools, and technological tools at your disposal to create a model that gets as close to certainty as possible. You will be presented with a number of potential trading opportunities, which your model must choose whether to accept or reject. In general, if one is able to generate a highly predictive model which selects the right trades to execute, they would also be playing an important role in sending the market signals that push prices closer to “fair” values. That is, a better model will mean the market will be more efficient going forward. However, developing good models will be challenging for many reasons, including a very low signal-to-noise ratio, potential redundancy, strong feature correlation, and difficulty of coming up with a proper mathematical formulation.

From user 767472021
930turbo / blastock

1.0 1.0 0.0

Real-time-stock-market-prediction, Ready to blast off with blastock? Read and monitor stock market data in real time! Use our built in AI to gain predictions on investments by monitoring patterns on stock data.

From user 930turbo
abdul-rasool / lstm-based-model-for-stock-market-prediction

0.0 0.0 0.0

Real-time-stock-market-prediction, LSTM based Model for Real-time Stock Market Prediction on Unexpected Incidents

From user abdul-rasool
abhishek257 / stock-market-analysis

0.0 0.0 1.0

Real-time-stock-market-prediction, Analysis and prediction of the real-time stock market trend for investment decision making.

From user abhishek257
anurag-moudgil / smarpma

0.0 0.0 0.0

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
dhananjaypipalwa / stockify

0.0 0.0 0.0

Real-time-stock-market-prediction, Discover the future of stock market prediction with our innovative web application. Powered by machine learning algorithms, it provides real-time insights into stock trends. Seamlessly integrated with Flask for backend functionality and React.js for sleek frontend design

From user dhananjaypipalwa
endeavour3 / stock-market-prediction-using-machine-learning

0.0 0.0 1.0

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
harshsrivastava1103 / stockstage

0.0 0.0 0.0

Real-time-stock-market-prediction, "Stock Stage" is a web and Android-based platform designed to engage people with the stock market. In the Stock Stage, users can access real-time stock data, show stock trend analysis, stock news, prediction, and tools related to portfolio management.

From user harshsrivastava1103
hrshl04 / stock-market-predictor

0.0 0.0 0.0

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
karthik-02 / nifty-50-mlproject

4.0 4.0 2.0

Real-time-stock-market-prediction, The NIFTY 50 is a benchmark Indian stock market index that represents the weighted average of 50 of the largest Indian companies listed on the National Stock Exchange. We use real-time dataset to calculate the stock predictions for future years.

From user karthik-02
kianhaghighi / stock-forecast-pro

0.0 0.0 0.0

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

0.0 0.0 0.0

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
mohak1 / rnn-stockpriceprediction

2.0 2.0 0.0

Real-time-stock-market-prediction, This RNN is trained on real stock price data of Google and tries to predict the price of stock in next time-step. It uses the LSTM model because stock prices depend on time which is a constantly changing quantity. Understanding that stock prices depend on a lot of things like economic conditions, value of currency, market share of the company and many other things but this project takes in consideration only the opening and closing of the price each day and tries to make a prediction.

From user mohak1
muzammilmemonz78 / stock-market-analysis-nye

0.0 0.0 0.0

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

0.0 0.0 0.0

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
onkarxo / financewizard

1.0 1.0 1.0

Real-time-stock-market-prediction, The ML-Based Stock Price Prediction and Financial News Aggregation Web App is a platform designed to provide users with insights into stock market trends, predict future stock prices, and aggregate relevant financial news. The application leverages Long Short Term Memory to forecast stock prices and integrates real-time financial news

From user onkarxo
ozanm / stock-predictor-python

2.0 2.0 2.0

Real-time-stock-market-prediction, This is a python program that analyzes real-time current stock market day for any symbol, and produces a graph of what the price will be for the rest of the year. UI is in Swift, data managing is in Python, and algorithmic predictions is in R.

From user ozanm
paddingright / big-data

0.0 0.0 0.0

Real-time-stock-market-prediction, Real time stock market prediction using sentiment analysis on tweeter (X)

From user paddingright
phongtintruong / bigdatastockanalyzer

1.0 1.0 0.0

Real-time-stock-market-prediction, A big data-driven system for real-time stock market analysis, trend prediction, and investment suggestions.

From user phongtintruong
poonam3030 / gold-price-prediction

0.0 0.0 0.0

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
rahulsardesai04 / lstm_stock_prediction.ipynb

0.0 0.0 0.0

Real-time-stock-market-prediction, An analysis of real time-series data of stock market along with prediction.

From user rahulsardesai04
rajat044 / stock-price-prediction

1.0 1.0 0.0

Real-time-stock-market-prediction, Real time stock price prediction of almost every stock listed on almost every market using ARIMA

From user rajat044
riya-virani / realtimestockmarketprediction

0.0 0.0 0.0

Real-time-stock-market-prediction, Real-time Stock Market Analysis and Predictions using Azure SQL Database and Machine Learning

From user riya-virani
riya-virani / realtimestockmarketprediction-1

0.0 0.0 1.0

Real-time-stock-market-prediction, Real-time Stock Market Analysis and Predictions using Azure SQL Database and Machine Learning

From user riya-virani
sanketgadekar31 / stock-market-prediction-system

0.0 0.0 0.0

Real-time-stock-market-prediction, Streamlit-based Python project for real-time stock market prediction, offering a user-friendly interface to visualize and analyze financial data.

From user sanketgadekar31
shriram7755 / stock-price-prediction-and-forecasting-using-stacked-lstm--deep-learning

0.0 0.0 0.0

Real-time-stock-market-prediction, Transform stock market insights with our Stacked LSTM-based Stock Price Prediction and Forecasting project. 🚀 Harness deep learning to analyze Apple's stock movements, offering real-time predictions and strategic forecasts.

From user shriram7755
stockx-python-project / stockx

0.0 0.0 1.0

Real-time-stock-market-prediction, StockX is a web application that provides real-time stock market data and predictions powered by news.

From organization stockx-python-project
striver-24 / stock-market-prediction-using-lstm

0.0 0.0 0.0

Real-time-stock-market-prediction, Stock market prediction using Sequential Model with LSTM, Dropout and Dense layers of Keras library. I have used yfinance (Yahoo Finance) to get real-time data of stocks for any given duration.

From user striver-24
timothypowell / stocktracker

0.0 0.0 0.0

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
withsivram / portfolio-management-system

1.0 1.0 0.0

Real-time-stock-market-prediction, The Portfolio Management System employs machine learning for stock predictions, featuring real-time updates and a user-friendly interface. It combines Python, MySQL, and neural networks for dynamic market analysis and portfolio customization.

From user withsivram

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Real-time-stock-market-prediction related contents

767472021 / oneworld

930turbo / blastock

abdul-rasool / lstm-based-model-for-stock-market-prediction

abhishek257 / stock-market-analysis

anurag-moudgil / smarpma

dhananjaypipalwa / stockify

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

harshsrivastava1103 / stockstage

hrshl04 / stock-market-predictor

karthik-02 / nifty-50-mlproject

kianhaghighi / stock-forecast-pro

kumbharedu / eda_stockmarket_dataset

mohak1 / rnn-stockpriceprediction

muzammilmemonz78 / stock-market-analysis-nye

oisavictor / stock-market-predictor

onkarxo / financewizard

ozanm / stock-predictor-python

paddingright / big-data

phongtintruong / bigdatastockanalyzer

poonam3030 / gold-price-prediction

rahulsardesai04 / lstm_stock_prediction.ipynb

rajat044 / stock-price-prediction

riya-virani / realtimestockmarketprediction

riya-virani / realtimestockmarketprediction-1

sanketgadekar31 / stock-market-prediction-system

shriram7755 / stock-price-prediction-and-forecasting-using-stacked-lstm--deep-learning

stockx-python-project / stockx

striver-24 / stock-market-prediction-using-lstm

timothypowell / stocktracker

withsivram / portfolio-management-system

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