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High Performance
Dakota, with it's swarm per process design, immediately makes full use of multi-core chips (Intel HT) and multi-processors.

Real-Time Design
 Dakota is end-of-day, but we are testing Dakota R/T, the intra-day edition.

Extendable
Dakota is extendable by the developer-user community using either the built-in ScriptBot editor or Visual Basic 6.  You can build your own bots to sell or use just for yourself to create unique adaptive systems.

 

 

 

 

 

 

 

 

 

 

 
Take Action
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BioComp Swarm TechnologyTM
 Imagine a live trading floor.  Imagine the shouts, the tussling and churning as traders bid, ask and consummate deals.  There are no models here.  While there are plenty of experts, there are few "expert systems".  Chaos rules and traders buy and sell based on their emotional perceptions blended with supply and demand.  What you have is a pool of traders, competing to best each other, reacting to each other.  What you have is a swarm.

Dakota uses new proprietary BioComp swarm technologies where groups of trading "bots" compete, shift and adapt in real-time to react to changing market conditions.  The initial concept is to not try to predict what is going to happen, but dynamically react to what is happening, just like the traders on the floor. This technology clearly more closely mirrors pit and on-line trading.  In Dakota's "true flocking", the bots within a pool communicate with each other every tick and they move toward more optimal solutions dynamically. As the equity space changes, the bots that happen to be in the more profitable spaces will let the neighboring bots 'know' and thereby bots will tend to move towards the more profitable space. You receive entry/exit signals based on either the average, the best or the top-N bots.

Bots
The Equity Is In the Bots.  Different bots work differently on various securities.  Dakota is principally a framework in which bots cooperate and compete.  Some bot types do significantly better than others for different securities, like some traders have the character necessary to trade certain securities or commodities.  Dakota will come initially with a number of different user-selectable "bots" or you can create your own "ScriptBots".  Here are some bot types and securities they appear to work for, using "out of the box" settings...

In the Type column, "Investor" means the bot is a slower trader, "Trader" means it is faster.  All listed bots are FREE with your purchase and more are being created both by us and the Dakota users.

Name Type Technology
Equity Controller MA Xover Investor Moving Average Crossover using BioComp Equity Control Algorithms
     
Flocking MA Xover Investor Moving Average Crossover adapted using BioComp FlockingAlgorithms
     
Momentum Oscillator Bot Investor & Trader Smoothed Momentum adapted using BioComp Flocking Algorithms
     
Swing Trader Bot Trader Buy / Sell thresholds set to X percent above and below current price, thresholds are adapted using BioComp Flocking or Equity Controller Algorithms
     
WinSlope Bot Trader Trades using an adaptive regression slope signal
     
WinZ Bot Trader Trades changes in price using an adaptive statistical significance criteria for buying and for selling.
     
Double Smoothed Stochastic Bot Trader Contributed by Dakota User Bob Anderton (Feb 21, 2006)  The bot trades counter trend by trading the crossing of two different double smoothed stochastic oscillators that differ on the speed of their second smoothing. The period of the stochastic, the period of the first smoothing, and the period of the fast and slow second smoothings are all adaptable parameters in Dakota.
     
Swing Trader Pessimist Trader A pessimist version of the Swing Trader bot.
     
Advance Decline Momentum Hybrid Trader The first published "Hybrid" ScriptBot which switches it's behavior based on BotID, thus a swarm is half Advance Decline bots and half Momentum bots.  Published primarily for experimental and educational purposes.
     
Advance Decline Pessimist Trader Bot from the Help file tutorial of the same name
     
Self Adjusting RSI Trader The Self-Adjusting RSI ScriptBot based on David Sepiashvili's article in Technical Analysis of Stocks & Commodities (TASC), Feb 2006 issue.
     
Jacinta Chan Bollinger Bands Trader A Z-Score / Bollinger Band trade bot based on Jacinta Chan's article in Technical Analysis of Stocks & Commodities (TASC) March 2006 issue.
     
PolyCaster Trader Computes a polynomial forecast model then calculates the difference between today's and tomorrow's forecasted price.  Trades the change in those forecasts (essentially, a price acceleration)
     
Advance/Decline Poly Blend Trader Blends Advance/Decline pessimism with price acceleration forecasts.
     

 

NOTE: Any performance shown is hypothetical and have not been substantiated by records of actual trading.  Hypothetical or simulated performance results have certain inherent limitations. Unlike an actual performance record, simulated results do not represent actual trading.  Also, since the trades have not actually been executed, the results may have under- or over-compensated for the impact, if any, of certain market factors, such as lack of liquidity.  Simulated trading programs in general are also subject to the fact that they are designed with the benefit of hindsight. No representation is being made that any account will or is likely to achieve profits or losses similar to those shown.

 

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