Visual Strategy Builder: Designing Investment Flows Without Code
This section explains how the AI Hedge Fund platform allows you to design complex investment strategies using a visual, no-code interface. This capability empowers anyone, even those without programming experience, to build and customize their own AI-driven workflows effortlessly.
The Core Experience: Building Your Investment Flowchart
Imagine drawing a flowchart to explain a process – that’s precisely how you build strategies here. The platform offers a graphical workspace where you drag and drop different elements and connect them:
- Your AI Expert Modules (Agents): You can choose from a library of pre-defined AI agents. These are your specialized “AI experts,” such as the “Warren Buffett” agent for fundamental analysis, the “Sentiment Analyst” for market mood, or the “Risk Manager” for portfolio safety. Each agent appears as a distinct block you can place on the canvas.
- Data Input Sources: Blocks representing various market data streams or other relevant information are also available. These are where your strategy begins to gather information.
- Connecting the Flow: You draw lines to connect these blocks. These lines define the exact sequence of actions and how information moves from one AI expert to the next. For example, a “Data Input” block might feed information to a “Warren Buffett” agent, whose analysis then flows to a “Risk Manager,” and finally to a “Portfolio Manager.”
This visual, drag-and-drop method makes it incredibly straightforward to understand and define the complex interactions within your AI strategy.
Building with “Atoms” or “Templates”
You have two ways to start building:
- Individual AI Expert Modules (Atoms): You can begin by dragging single AI agents onto your canvas, creating a strategy from the ground up, piece by piece.
- Pre-built AI Team Templates (Multi-Node Templates): For common or advanced strategies, you can quickly drag in a pre-designed “AI Team Template.” For example, one template might include a complete flow with data fetching, multiple analysis agents, risk management, and a final decision-maker, all pre-connected. This significantly speeds up complex strategy building.
Smart Features for Effortless Design Management
The Visual Strategy Builder goes beyond basic drag-and-drop, offering intelligent features to make your design process seamless and secure:
- Personalized Settings That Remember: When you customize an AI expert module (e.g., telling the “Warren Buffett” agent to focus on specific financial ratios), the system accurately remembers and saves all your detailed settings with that strategy. When you load your strategy again, every personalized configuration for each AI expert is perfectly restored.
- Effortless Management: Save, Load, and Undo/Redo:
- Saving Strategies: You can save your entire strategy, including all your chosen AI experts, their connections, and their personalized settings. This allows you to revisit or reuse any strategy easily.
- Loading Strategies: Load any of your saved strategies back into the builder at any time to continue editing or to run a simulation.
- Undo and Redo: Every significant change you make (adding an agent, moving a connection) is recorded. You have the safety net of being able to instantly undo your last action or redo a change, encouraging fearless experimentation.
- Always Up-to-Date (Auto-Save): The system automatically saves your work in the background as you make changes. This means you don’t have to worry about losing your progress, providing peace of mind as you design.
- Responsive and Accessible Design: The builder adapts its appearance (e.g., background and grid lines) based on your chosen light or dark theme. It also supports common keyboard shortcuts for actions like saving, undoing, and redoing, making the design process faster and more efficient.
The Power of “No Code”: What It Means for You
The “no code” aspect of this Visual Strategy Builder is profoundly impactful. It means that you can:
- Design Complex Logic Visually: Achieve sophisticated logical flows and data processing that typically require extensive programming, simply by dragging, dropping, and connecting visual blocks.
- Rapidly Experiment: Test new investment ideas and iterate on strategies with unparalleled speed, moving from concept to a fully executable AI workflow in minutes.
- Focus on Strategy, Not Syntax: Your focus remains entirely on your investment hypothesis and how to implement it, rather than getting bogged down in coding languages or technical syntax.
- Full Control and Transparency: You maintain full control over how your AI team operates, with a clear, visual representation of every step in the decision-making process.
This platform truly democratizes advanced AI strategy creation, making sophisticated financial intelligence accessible to a much broader audience.
Related Code Files
Feature/Responsibility | Code File | Purpose and Implementation Details |
---|---|---|
Core Flow Canvas | app/frontend/src/components/Flow.tsx | The main React component that renders the interactive drag-and-drop canvas using the @xyflow/react library, managing nodes, edges, and their basic interactions. |
Flow Management Context | app/frontend/src/contexts/flow-context.tsx | Provides the global state and functions for creating, loading, saving, and adding components to the flow. It orchestrates the interaction between the React Flow instance, node internal states, and backend services. |
Node Internal State Management | app/frontend/src/hooks/use-node-state.ts | Manages the specific configuration and data associated with individual nodes (agents) on the canvas, using the useNodeState hook for persistence across sessions. |
Node Definitions and Mappings | app/frontend/src/data/node-mappings.ts | Defines the properties and behavior of individual agent nodes (e.g., “Warren Buffett” agent) that can be added to the canvas. |
Multi-Node (Template) Definitions | app/frontend/src/data/multi-node-mappings.ts | Defines templates for groups of pre-connected nodes (multi-node components) that can be added to the canvas as a single unit, using the multiNodeDefinition constant. |
Flow History (Undo/Redo) | app/frontend/src/hooks/use-flow-history.ts | Implements the undo/redo functionality for the visual builder, allowing users to revert or re-apply changes made to their strategy. |
Backend Flow Service | app/frontend/src/services/flow-service.ts | Handles communication with the backend API for persistent storage and retrieval of flow (strategy) data, including nodes, edges, viewport, and node internal states, using the flowService object. |