Design
Create automated trading strategies with a visual node graph, reusable blueprints, inspector settings, and grouped logic.
Visual strategy design. Replay testing. Live execution.
TradeArchitect
A desktop trading workspace for building automated trading systems from visual blueprints, testing them on historical sessions, and monitoring them with live charts, scanners, broker data, and manual trading tools.
- Blueprints
- Reusable ATS, node, component, and system templates
- Workspace
- Dockable charts, scanners, account, orders, news, and Time and Sales
- Connections
- Alpaca live/paper, Charles Schwab, Gemini, OpenAI, and simulator workflows
Preparing for controlled early access.
TradeArchitect is preparing for focused beta users, with current work centered on
launch polish, default blueprints, documentation, security, and onboarding.
Join the list
One workspace for the trading loop
Build, test, monitor, and trade without leaving the platform.
TradeArchitect is not just a chart, scanner, or bot runner. It connects the pieces that usually live in separate tools: strategy design, reusable components, replay, simulation, chart context, connection management, account views, orders, positions, Time and Sales, news, and AI-assisted strategy work.
Discover
Use gap and high-of-day momentum scanners, configure result columns, and drag symbols into charts, orders, ATS inputs, watchlists, or scanner-aware workflows.
Validate
Replay prior sessions at controlled speeds, force simulator execution, and review charts with strategy actions in context.
Execute
Connect supported brokers and AI providers, monitor account data, manage orders and positions, and use manual or semi-automated inputs.
Blueprint automation
Strategies are assembled from reusable parts.
Build an ATS from node components, runtime components, indicators, stop logic, scanners, trade engines, and expression outputs. Save working systems as blueprints and reuse them instead of rebuilding the same structure every time.
- System, ATS, node, and runtime component blueprints.
- Unity-style hierarchy and inspector for active instances.
- Grouped graph nodes for simplifying and sharing complex logic.
- Import and export formats for strategies, systems, nodes, and components.
- Included starter blueprint sets for day trading and swing strategy workflows.
Designed for active traders
A workflow that moves from idea to market context.
Find candidates
Run preconfigured scanners, sort and filter symbols, then drag results into the tools that need them.
Wire logic visually
Connect indicator signals, expression logic, pivots, stops, and trade engines in a readable graph.
Test historical sessions
Create replay instances from ATS blueprints with symbol, timeframe, date range, connection, and speed.
Monitor live behavior
Link charts to running strategies and keep orders, positions, account state, and Time and Sales nearby.
Charting and manual trading
Charts can stand alone or follow a running ATS.
Load a symbol manually, display a fixed historical range, or link the chart to an ATS so candles, indicators, pivots, drawings, fills, and strategy actions stay in one place.
- Manual and ATS-linked chart modes.
- Multiple candle types, indicators, styles, drawings, pivots, and time zone display options.
- Embedded Time and Sales for the chart symbol.
- Scanner row drag and drop into charts, order entry, and strategy symbol fields.
- Manual order entry, broker account windows, order tracking, positions, and PNL views.
Feature set
The pieces traders expect around automation.
Configurable scanners
Gap and HODM scanners, colorized result fields, configurable columns, sorting, symbol drag and drop, and high-of-day momentum watchlist workflows.
Replay and simulator
Run an ATS on prior sessions with replay speed control while routing orders through the built-in simulator.
Scanner configuration
Tune scanner source connection, asset class, gap direction, filters, volume, news, trading behavior, pivots, schedule, and columns.
Connection manager
Add OAuth or API key connections, reconnect expiring providers, rename connections, choose defaults, and prepare multiple accounts per broker.
Recent launch polish
Current builds are focused on making real workflows smoother.
Recent work tightened the parts beta users will touch first: broker connection handling, scanner configuration, chart tooling, import/export, default blueprints, and safer public logs.
Cleaner connection flow
Dedicated connection management for OAuth brokers and key/secret providers, with reconnect, rename, delete, default selection, and AI provider support.
More useful charts
Charts now support embedded Time and Sales, clearer toolbar drawing tools, time zone display options, scanner symbol drops, and a clear-symbol action.
Blueprint exchange
Strategies, systems, nodes, and runtime components can be imported or exported for sharing, debugging, and starter-library packaging.
Safer screenshot logs
Desktop and backend logging now redacts tokens, API keys, emails, account identifiers, user identifiers, and full local paths before display.
AI-assisted strategy work
Generate, evaluate, and iterate on strategy blueprints.
AI Architect can create an ATS from a prompt or evaluate a selected strategy. Responses use a structured format that can be imported, reviewed, edited, and saved as blueprints.
- Gemini and OpenAI connection support.
- Create new strategies from prompts.
- Evaluate selected ATS instances for fixes or improvements.
- Import structured AI responses as strategy blueprint files.
- AI Chat for general questions inside the workspace.
Structured Workflow
Prompt to Blueprint
Create a strategy, evaluate a selected ATS, import the structured response, then save the result into the blueprint library.
Connections
Broker integrations without locking the platform to one API.
TradeArchitect currently focuses on Alpaca and Charles Schwab, with OAuth and key/secret connection flows depending on the provider. Alpaca paper trading, built-in simulation, AI provider connections, and account views are part of the same connection model. The broker abstraction is designed so additional APIs can be added over time.
Alpaca live and paper
Charles Schwab
Built-in simulator
Broker account view
News feed
AI providers
Security and policies
Launch materials should be easy to find.
TradeArchitect is built around user-owned broker and AI provider connections. These documents outline cybersecurity practices, privacy commitments, terms, and trading-risk expectations for beta users and launch customers.
Founding build
Download the early-access Windows installer.
This installer is intended for invited founding users during the controlled beta period. Install it on Windows 11, connect a supported broker or paper account, and use paper trading or the simulator until your setup has been tested carefully.
TradeArchitect 1.0.0
Windows desktop installer
Includes the desktop app and starter local AppData files used for first-run setup.
Download installerProduct views
A launch-current look at the desktop workspace.
Founding early access
Help shape TradeArchitect before public launch.
Early access is intended for traders who can test real workflows and give specific feedback. The goal is a controlled launch with direct onboarding, realistic expectations, and a discount that reflects the beta stage.
- Best for active traders who already have repeatable strategy ideas.
- Useful for discretionary traders who want scanning, charting, replay, and semi-automation.
- Feedback will shape documentation, onboarding, defaults, and launch priorities.