Real-time prices, historical data and market data for successful investment decisions. Whether investor, active trader or quant – sound decisions need reliable, up-to-date market data.
From real-time prices and historical price series to fundamentals: the basis for analysing companies, markets and price movements.
Stock data comprises all the information generated by the listing and trading of a share. It helps investors better understand companies and market movements.
Every investment decision is based on information. The better the data quality, the more soundly decisions can be made.
Different data types are needed depending on the use case.
Current prices with virtually no delay – for day trading, swing trading, market monitoring, scanners and trading systems.
Price history over years to decades – for trend analysis, backtesting, research and strategy development.
Every single price change with timestamp, price, volume and market activity – for detailed analysis and realistic backtests.
Revenue, profit, dividend, equity, cash flow, P/E and market capitalisation – for the objective valuation of companies.
A single share generates a wide range of information every day.
Open, daily high, daily low and close.
Shows how many shares were traded – high volume often indicates strong interest, news or increased activity.
Current buy and sell price plus available liquidity.
Dividend amount, yield and payout history – particularly relevant for long-term investors.
Professional stock data covers a wide range of international exchanges.
Identifying short-term opportunities with real-time prices, scanners, technical analysis, tick data and market monitoring.
Valuing the company: performance, fundamentals, earnings growth, dividends and market position.
Data-driven: historical price patterns, volatility, returns, factors and statistical relationships.
Depending on the use case, different data is sufficient.
Many companies and developers integrate market data directly into their own systems – trading software, market portals, mobile apps, dashboards and analysis platforms. APIs ensure the automatic supply of current prices.
Modern AI models use large amounts of historical and current market data:
Not all providers offer the same quality.
Prices should be adjusted for stock splits and dividends, otherwise charts and backtests break at those dates.
Capital measures, mergers and renamings must be cleanly reflected in the history.
Xetra, Tradegate, Gettex and NYSE/NASDAQ – depending on where you trade or reference prices.
Long, gap-free price histories for trend analysis and backtests.
Reliable availability even in volatile trading phases.
Many investors underestimate the importance of high-quality data – which significantly affects the quality of analyses.
The more data-driven the decisions, the more important the quality of the data supply.
Stock data comprises prices, trading volume, bid/ask, tick data, fundamental figures, dividend information and historical price movements of a listed share.
Stock splits, dividend payouts and corporate actions change the price series. Without adjustment, charts and backtests break at those dates.
Among others Xetra, Frankfurt, Tradegate, Gettex, NYSE, NASDAQ, Euronext, SIX Swiss Exchange and London Stock Exchange.
For day traders, swing traders, investors, quantitative analysts, asset managers and financial portals – anyone who decides based on data.
Whether real-time Xetra prices or split- and dividend-adjusted long-term histories – only clean stock data, corrected for capital measures, makes analyses and backtests reliable.
Anyone regularly active in the stock market should ensure correct adjustment, broad venue coverage and consistent histories.