Stock Market Investing, Chart & Portfolio Analysis

Stock Market Investing, Chart & Portfolio Analysis APK

Stock Market Investing, Chart & Portfolio Analysis APK

2.21 FreeAlex Vinnitschenko ⇣ Download APK (4.59 MB)

News, Charts, Stocks, Real-Time Financial Data, Portfolio & Investment Analytics

What's Stock Market Investing, Chart & Portfolio Analysis APK?

Stock Market Investing, Chart & Portfolio Analysis is a app for Android, It's developed by Alex Vinnitschenko author.
First released on google play in 2 years ago and latest version released in 2 months ago.
This app has 2.9K download times on Google play
This product is an app in Finance category. More infomartion of Stock Market Investing, Chart & Portfolio Analysis on google play
Stay on top of the market and access global market news, real-time financial and economic data. Forecast market trends and cycles with an advanced charting and technical analysis toolkit. Construct, track and manage multiple portfolios, analyze various investments and find optimal portfolio risk-return characteristics. Examine market behavior and asset properties with exploratory data analysis.

- Pre-defined markets overview
- Unlimited and personalized watchlists
- Quantitative performance and risk analysis of watchlist components
- Group statistics for watchlist components

- Financial news coverage for multiple regions and languages
- Integrated RSS-Reader and feed subscription by the user
- Search for headlines and Google Trends statistics by specific keywords
- News for portfolio and watchlist components
- Calendar for economic events and company earnings reports
- Display multiple bookmarks on the news dashboard
- Notepad for taking notes and storing ideas

- Interactive high-performance charting
- Broad range of drawing tools
- Templates for intraday and historical charts
- Large set of commonly used technical indicators
- Time series compression (minute, hour, day, week, month, quarter, year)

- Financial statement analysis
- Visualization of key financial ratios
- Top institutional and fund holders

- Track, analyse and manage multiple stock portfolios
- Support for multi-currency and long-short portfolios
- Quantitative performance and risk analysis of portfolio and portfolio components
- Measuring portfolio performance vs. benchmark
- Calculation of investment risk indicators (Information Ratio, Alpha, Beta, etc.).
- Visualization of rolling Sharpe Ratio, Volatility, Alpha, Beta and Value at Risk
- Visualization of security characteristic line and return distribution

- Interactive portfolio construction, analysis and optimization
- Visualization of portfolio components and efficient frontier
- Predefined mean-variance optimization strategies (minimum-variance, maximum diversification, equal risk contribution, etc.)
- Time frame analysis and in-sample and an out-of-sample optimization
- Backtest of the current investment strategy

- Descriptive Statistics
- Histogram and Empirical Distribution (CDF, ICDF, SDF) Plot
- Theoretical Distribution Fitting
- Kernel Density Estimation
- Theoretical Q-Q, Symmetry and Box Plot
- Correlogram
- Unit Root Test (ADF)
- Cross Plot and Cross Correlogram
- Correlation and Cointegration Analysis
- Principal Component Analysis
- Granger Causality Test
- Multiple Linear Regression (OLS)
- Vector Autoregression (VAR)

- Central Bank of Japan*
- Bank of England*
- Deutsche Bundesbank*
- European Central Bank Data (ECB)*
- Federal Reserve Economic Data (FRED)*
- International Monetary Fund (IMF)*
- Organisation for Economic Co-operation and Development (OECD)*
- World Bank*
- IEX Stock Exchange (U.S.)
- Alpha Vantage (stocks, forex and cryptocurrencies)
- (stocks, futures and forex)
- (cryptocurrencies)
- (stocks, indices, currencies, bonds, commodities)
- (ETFs, Mutual Funds, and Chinese A-Shares)
* (provided by Quandl)

Use the feedback form in the app to report errors or crashes, request features or give general feedback. If you have questions or need support, please see the FAQ section first. The helpful Tips & Tricks can be found on Facebook and Twitter (@statmetrics).