Quantitative Trading Strategy Research
Discover how integration of DIAL into the trading strategy development software can help reduce entry barriers for users and streamline the development, backtesting and optimization of trading strategies with AI-powered tools and technologies.
3x
Streamlined implementation of new trading strategies2x
Expanded reach to non-technical user base↓4x
Reduction in user onboarding timeChallenge
Algorithmic trading researchers often require complex, expensive software and teams of analysts. A client sought to streamline this process by empowering individuals to design and test trading strategies through natural language.
Industry
FinanceDev team size
3 developersDuration
1 yearSolution
Neuralquant demonstrates how integrating AI into strategy development software can streamline workflows, making trading software accessible to non-programmers and programmers alike.
The application uses DIAL as an LLM gateway to enable users to generate Python code for strategies using a conversational UI component. Users can experiment with available LLMs to generate code for strategies, run it on historical market data fetched from TimeBase (a time-series DB built by Deltix), or other time-series data sources as well, and generate a report with trading signals.
Additionally, the app UI features a chat-bot built with DIAL's Chat Overlay technology, powered by DIAL's ChatHub with a custom agent. This agent has access to Neuralquant via API to enable commands for strategy creation, data retrieval, report generation and other tasks based on natural language input in chat.
Code Generation
Neuralquant integrates with the DIAL platform to acquire a direct access to different LLMs, enriching existing models with domain-specific context. This allows users to automatically generate strategies, converting ideas into executable Python code.
AI Chat-Bot
An AI-powered chat-bot seamlessly incorporated into the application's interface, using DIAL Chat Overlay, enables users to interact with the application through natural conversation.
AI Assistant
AI assistant powered by DIAL ChatHub works directly with Neuralquant behind the scenes. Users can retrieve market data, build strategies, run performance tests, and create reports with trading recommendations through a simple conversation.
Results
Optimized efficiency
Traders can simply describe the trading strategy they want in a plain natural language, and the AI instantly generates the Python code needed to execute it - no coding skills required.
Simplified UX
By integrating with DIAL and using its ChatHub multi-agent application, users can operate selected Neuralquant features through a conversational interface, dramatically reducing the learning curve and increasing productivity from day one.

Our Interface
Neuralquant UI
Neuralquant UI
Neuralquant UI



Used Components
DIAL Ecosystem
Set of tools, agents and applications for building AI-powered business solutions
DIAL Core
Primary system component and integration center