Enular - Welcome

The trading of tomorrow,
done today Create novel trading strategies using Enular's visual design infrastructure.
Develop strategies intuitively, without code, using a system with limitless potential. More details

Benefits of trading with Enular

Technology Upload machine learning models and use AI to optimise the parameters of your strategy.

Automation Eliminate psychological bias and human error. Have Enular scan data across multiple sources, across markets and assets, and implement changes for you.

No Fees Build, test and implement strategies for free. There is no cost when using any of Enular's development tools.

Time Save development time with customisable pre-coded components. Create strategies in a fraction of the time and focus on unique, creative ideas instead of getting bogged down in repetitive, lengthy programming.

Monetisation Put your talents to use by monetising your work, either by selling tools on the marketplace or converting your strategy to a public fund for pooled investment.

Modular Strategy Builder

Visual design: drag and drop elements from the sidebar to build a strategy. Each component, be it an indicator or an operation, are pre-coded and only require input parameters as values. The entire development process can be achieved without writing a single line of code.

Scalability: all components are customisable. Create unique components such as conditional indicators or edit Enular’s code for each component, all of which becomes your own intellectual property. Upload external models or attach components purchased on the marketplace. There are no limitations when creating a strategy, the potential exists to develop market beating solutions.

Streamlined development: development infrastructure is fully streamlined to reduce the time necessary to create a strategy. Worry less about writing repetitive scripts, searching for the right libraries, and linking it all together; focus more on creative solutions, novel approaches, and refining your work.

Evaluate: Backtest your strategy against years of historical market data and evaluate its profitability against a chosen benchmark using a range of performance metrics.

Optimise: Use AI to optimise the parameters and architecture of your strategy. Choose to implement suggestions before comparing the results with the previous design.

Deploy: Once you are satisfied with your strategy, simulate live performance with paper trading before deploying it with your broker, or convert it to a fund and seek pooled investment from the public.