The market does not wait for your schedule.
Work, family, sleep, and time zones make perfect manual execution unrealistic.
AI strategy building, testing & automation
Turn a plain-English trading idea into a backtest, paper-trading system, or live Alpaca strategy—without writing code or stitching together a fragile stack of tools.
Animated TradeLab walkthrough showing a plain-English strategy becoming structured rules, a historical backtest, and a strategy ready for paper trading.
Plain-English AIFrom idea to explicit rules
Historical backtestsSee trades, P&L, and drawdown
Paper before livePractice the execution loop
Alpaca connectionYour account. Your control.
A calmer way to trade
The setup can be clear and still get missed. The rules can be written and still get overridden. And an idea can feel convincing long before the evidence supports it.
TradeLab turns “I think this works” into a process you can inspect.
Work, family, sleep, and time zones make perfect manual execution unrealistic.
A defined system helps separate the plan you made from the feeling you have now.
Backtests and paper trading give your idea a chance to fail safely before live deployment.
The proof-first workflow
TradeLab keeps the full journey in one workspace, so the strategy you describe stays connected to the rules you test and the system you choose to run.
Explain the setup in plain English. TradeLab asks the questions that turn a loose concept into explicit entry, exit, timing, and risk rules.
Inspect the generated strategy, choose sizing and timeframes, set your parameters, and keep control of every important decision.
Backtest historical behavior, inspect individual trades, and measure win rate, profit factor, P&L, and maximum drawdown.
Connect Alpaca, start with paper trading, monitor the strategy, and decide when—or whether—it deserves live capital.
The platform
No black box and no handoff to a developer. TradeLab surfaces the questions, rules, test results, connection state, and strategy controls that matter.
Tell the AI what you want to trade and how the setup should behave. It guides you through entries, exits, risk, timing, and other missing details before generating the strategy.
No code required ✦TradeLab does not stop at a vague prompt. The assistant asks for concrete conditions and constraints, helping expose the assumptions that would otherwise stay hidden.
Specific beats vague ✓Review the generated description, choose symbols, sizing, timeframe, broker, and paper or live mode. Strategy-specific controls keep the system editable after generation.
Review before run ◎Run a historical test, inspect the price chart and equity curve, then review the metrics and individual trades behind the summary.
Evidence first ⌁From research to execution
Add your Alpaca paper or live credentials, then choose the connection when you configure a strategy. TradeLab stores API credentials in encrypted form and leaves the deployment decision with you.
Connect AlpacaPaper and live API modes
Choose the environmentStart with simulated capital
Start, stop, and monitorControl each strategy independently

Encrypted credentialsPaper and live keys stay separate
The connected advantage
A disconnected workflow creates more places for context, rules, and confidence to get lost. TradeLab keeps learning, building, testing, deployment, and monitoring attached to the same strategy.
Proof over promises
Customer experiences are their own and do not guarantee trading outcomes.
I've spent the last week shopping from platform to platform… not a single one came out of the gates swinging like this one. No other platform had anything like it.
An emergency-room physician working long days, Jerry needed a way to translate his trading ideas into automation without taking him away from his patients.
Watch Jerry's storyAfter selling his business and trading more actively, Shawn wanted an honest team and a simpler process. He described the experience as streamlined, fast, and easy.
Watch Shawn's story
“TradeLab is a game-changer. It seamlessly automates my trading strategies quickly and efficiently, saving me hours of manual work.”— Thomas T., customer review

Why TradeLab exists
Tim was balancing a demanding product role, a business, and responsibility for his family's portfolio. The pressure of trying to execute every rule at the right moment made one thing clear: a good process should not depend on constant attention.
He learned to code and built the automation he needed. That work grew into a quantitative development agency serving professional traders, entrepreneurs, family offices, and hedge funds.
TradeLab is the product he wished existed then: a professional process for turning ideas into testable, controllable systems— accessible through conversation.
The TradeLab offer
Use the trial to build a strategy, run a backtest, and experience the platform before your first payment.
days of full access$0 due today
$1,000 billed annually after trial
Billed monthly after trial
Your membership includes:
Trading involves risk. TradeLab provides research and user-directed automation tools, not financial advice or guaranteed results.
Questions, answered
Use the trial to inspect the product and decide if the workflow fits the way you want to trade.
No. TradeLab is a research and user-directed automation platform, not a signal service or financial adviser. You create, review, and control each strategy. AI-generated outputs should always be reviewed before use.
No. You can describe a strategy in plain English, answer the AI’s follow-up questions, and manage the generated rules in a visual workspace. The Knowledge Hub also includes guided material for beginner, intermediate, and experienced traders.
Yes. TradeLab brings historical backtesting and automated paper trading into the same workflow, so you can study past behavior and forward-test execution before deciding whether to use live capital.
TradeLab currently connects with Alpaca. You can add paper or live credentials, and your available assets and features depend on your Alpaca account, permissions, and region.
The workspace supports configurable spot and options strategies across the assets available in your connected Alpaca account. You can set symbols, sizing, timeframes, entry and exit logic, and strategy-specific parameters.
No. Trading involves substantial risk, and backtests do not predict future results. TradeLab helps you define, test, execute, and monitor your own rules more consistently; it cannot remove market, technology, or configuration risk.
Your next strategy starts here
Build, backtest, and paper trade in one connected AI workspace.