Shorten time to market by just installing the complete package and simply use the premade AI-models.
Only define your universe, risk and sentiment settings and you are set to go.
An activated strategy will produce a daily batch of orders for your Accounts. These will be reported in a daily email.
If you have a live integration to the Exchange through a Market Gateway, orders can be routed directly.
If not, you need to manage the orders manually - entering order on the Exchange and report trade information back (Trading Component)
Train your proprietary AI-model (requires The Gym).
Any market exchange could be traded on as long as Instrument data and EOD prices are available.
Define your universe of instruments - which instruments are allowed for the strategy to trade in.
Decide on which AI-model you would like to use (pregenerated by LQTec or proprietary)
Configure which reference index should be used.
Configure rebalance, allowed drifting, sorting, aggressive/defensive on buy/sells, sector focus, market cap focus etc
Spray simulations based on your strategy using different configuration.
Analyze and compare different simulation settings.
Analyze the caracteristic of the strategy in depth.
Study trade statistics and intensity.
In Account View, configure Account to use strategy.
Trim current setting of sentiment dependent factors
In Dashboard, follow up on market sentiment changes using Ensemble simulations.
Trim current setting of sentiment dependent factors
In Account View, inspect the full daily result from the strategy - not only the orders that made it.
You might find other candidates further down the list.
The Algo Module is dependent of Wealth Management and Comm Framework.
Algo extends the Trading Module GUI with more functionality, as well as introducing more business objects related to algorithmic trading: Models, Strategies, Simulations, Patterns etc.
Proprietary strategies can be injected but they have to be implemented in Java.
An AI-based strategy is included out of the box, which have a large number of configuration possibilities. Typically the only thing that varies besides configuration, is the choice of the AI-model.
A cluster of AlgoJobEngines manages batches of Algo job executions (for example execution of Strategies or Simulations).