Giter VIP home page Giter VIP logo

Real-time-stock-market-prediction related contents

Best Match Most Stars ↓ Fewest Stars ↑ Most Forks ↓ Fewest Forks ↑

  • 767472021 / oneworld

    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

    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

  • anwarcsebd / 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 real-time financial data, provided by The Investors Exchange (IEX).

    From user anwarcsebd

  • casually-pylearner / prediction-of-stock-market-deviation-using-arima-algorithm

    Real-time-stock-market-prediction, Stock market is an ideal way to invest hard earned money as it has the potential to provide great returns. But, even with the current technology at hand, it is a risky deed due to the inability to understand sudden market changes and interpret data appropriately. To ease the process of investment and to provide better awareness, we propose ‘Prediction of stock market deviation using ARIMA algorithm’: a real-time risk prediction software that considers market interests. It is based on a parametric time series analysis technique- ARIMA (Auto Regressive Integrated Moving Average) algorithm to interpret historic data. It also makes use of Sentiment analysis to convert market trends to valuable information. Since stock market is highly influenced by information release and public acceptance, the addition of Sentiment Analysis to ARIMA boosts system performance and provides a more accurate representation of market volatility. The software provides pictorial and graphical representations and can also be used to compare the growth of two companies for the required time period. The objective is to provide short term and long term prediction capabilities to prepare for future potential investments.

    From user casually-pylearner

  • henrywan16 / stockdataanalysis

    Real-time-stock-market-prediction, StockAnalysis can grab the real time information about the stocks you subscribe, and make a prediction about the price of the stock tomorrow based on the history data. It can evaluate live data. According to historical trends, there is an 80% chance for this stock price going down in a few minutes. Live data becomes historical trends over time. With the help of historical trends, if historical information is sufficient, we can do data mining among all the information, so that stock prices could be predicted. Our aiming users are those retail investors in second-level circulation market. Most of them could not analyze the information instantly and efficiently, so the stock prediction would not only help them make more profit, but also avoid potential risks.

    From user henrywan16

  • karthik-02 / nifty-50-mlproject

    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

  • knvgarg / tradestation

    Real-time-stock-market-prediction, Real time stock market prediction to get the best stock to invest in

    From user knvgarg

  • mohak1 / rnn-stockpriceprediction

    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

  • ozanm / stock-predictor-python

    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

  • rajat044 / stock-price-prediction

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

    From user rajat044

  • rotationalio / pypredict

    Real-time-stock-market-prediction, Real-time stock market predictions using an event-driven architecture

    From organization rotationalio

  • victor369basu / real-time-stock-market-prediction

    Real-time-stock-market-prediction, In this repository, I have developed the entire server-side principal architecture for real-time stock market prediction with Machine Learning. I have used Tensorflow.js for constructing ml model architecture, and Kafka for real-time data streaming and pipelining.

    From user victor369basu

Next →

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.