InvestorData provides stock exchange prices via the Internet to users of various share programs.

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What makes InvestorData different from other data vendors?

1. InvestorData is on the side of the consumer by maintaining a consistently high quality data feed at a very reasonable price, through a high level of automation.


2. Data integrity is the highest priority of InvestorData. This was due to the fact that the primary client base when launching the service was the corporate / stock broker market. The client base has expanded into the private user side. This can only be of benefit to the private user as their investment decisions are based on a solid foundation in data quality.


3. InvestorData is the youngest relevant data vendor in the market place. While some may feel that dealing with the longest established organization is good business practice, this doesn't really make sense in the computer arena as technology is evolving all the time. Rather, to deal with the most responsive to changing user needs. This can only be done when there is a high degree of automation, which means minimal errors in the data. Comments from new users usually indicate a far more pleasant experience compared to dealing with a previous data vendor. 


4. Due to the InvestorData data standard, our data applies to AmiBroker, ShareFinder, Shanal, Trac, OmniTrader, SurEquity, Indexia, MetaStock, SuperCharts, PatternSmasher, OutVestor, Fcharts and TradingSolutions with more being added.
   
   While speaking with users, it became apparent that each software vendor generally supplied data specific to the program they sold. For the consumer who used more than one program, this translated into a high running cost, as they had to purchase data from different vendors. InvestorData saw this as highway robbery as the data itself was identical but differed in format only. We questioned why the user should pay for the same data many times over. InvestorData set about changing things by launching their data for each program available in the marketplace. Now the consumer pays one fee and receives all the data required so that each program is kept up to date. An added benefit here is that there is consistency between programs with share names and historical prices, which means charts look the same between different programs using our data feed.
   
   Many people at this point do not realise that this is a huge advantage to our subscribers in that only they have this consistent foundation on which to assess the market with the various strengths of different programs allowing confirmations to be gained about trading decisions. As an example, one program may offer very good Elliot Wave info, another superb point-and-figure info, and a third great trading channel info. Using our consistent sharename and pricing info means these three can be used in unison, yielding a unified conclusion of what to do, whilst subscribers to a range of other vendor offerings are not able to acheive this.  


5. You pay one data access fee and are entitled to the data for all share programs listed above, which means your running costs are minimal, regardless of how many share programs you own. 


6. The data access fee will remain unchanged while the InvestorData subscriber base grows which means you share in the success of InvestorData. 


7. InvestorData believes in a personal relationship with each subscriber, so temporary support staff are out of the question. Rather to ensure a sound technological solution and permanent staff to handle queries. 


8. Support is offered during office-hours 8h00 to 17h00 Mon-Fri and until 23h00 via a cell#. Limited support is also offered during public holidays and weekends via the cell#. 


9. The data provided has always contained a clean OPEN price, which means that Japanese candlesticks and proper bar charts can be correctly drawn. Many other vendors don't provide an OPEN price or they provide a dirty OPEN, which is the previous day's CLOSE amended to fit within today's HI-LO range. The charts drawn with a dirty OPEN cannot be compared to the ones our data will generate.


10. The data provided has always contained the last trade as the CLOSE rather than the RULING price. By way of example... if you purchase a house for R1m and a drunk ambles by the day you moved in and offered you R1.2m (obviously the offer is irrelevant) . . . InvestorData would publish the last trade price of R1m while other vendors would publish the ruling price (last trade price unless a subsequent bid / offer) of R1.2m. Now when you apply technical analysis to this data, it stands to reason that a buy or sell signal from data provided by InvestorData is more applicable, generating buy / sell signals based on factually correct data, not someone's testing of the market to see if they can get a higher / lower price. The fact that the bid / offer was not accepted proves the markets unwillingness to move in that direction . . . so why publish that price?
    

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