AI Strategy Optimization

Strategy Lab
Your Strategy's Best Version, Automatically

FORGE mutates your strategy's code, backtests every variation, and keeps only what beats your baseline — validated on data no experiment ever touched before you see the result. No other bot does this.

An AI Quant, Not a Chatbot

Strategy Lab is built to iterate on trading logic specifically — with the validation discipline to back it up.

Walk-Forward Validation

Every result is checked against a holdout slice of data no experiment ever trained on — the same discipline quants use to catch overfitting before it costs you.

4 Scoring Profiles

Balanced, Conservative, Aggressive, or Consistency — tell Strategy Lab what kind of edge you're actually optimizing for.

Live Guidance

Steer a run mid-flight with plain-English feedback. No need to stop and restart to redirect the AI.

Crash-Safe Progress

Every real improvement is saved as a new strategy version the moment it's found — not just at the end of the run.

Bug-Fix Detection

If the AI catches an actual bug in your strategy's logic, it fixes and adopts it immediately — verified to be a real code change, not a relabeled experiment.

Opt-In Auto-Promote

Ask Strategy Lab to push a validated winning version straight to your live channel when the run finishes — the real validation pipeline runs either way.

How It Works

From an existing strategy to a validated, improved version in four steps.

01

Pick a Strategy & Profile

Choose any strategy you own and a scoring profile that matches your goal — return, low drawdown, or consistency.

02

Set Your Budget

Cap the number of experiments (up to 30) and see the exact wallet cost estimate before you commit to anything.

03

Watch It Iterate

FORGE mutates the code, backtests each version, and keeps or reverts every change live as you watch.

04

Get a Validated Result

The best version is tested on data it never touched, then saved as a new version — or auto-promoted live if you opt in.

Who It's For

Whether you're fine-tuning by hand today or automating the whole loop.

Squeeze More From What Works

Already have a profitable strategy? Let AI search the parameter space for improvements you'd never find by hand.

Skip Manual Tuning

Stop guessing at stop-loss percentages and indicator periods one backtest at a time.

Built for Agents Too

Every capability here — start a run, inject guidance, validate, promote — is also exposed as an MCP tool for AI agents.

Real Runs, Real Results

These numbers come straight from completed Strategy Lab runs — updated automatically, never hand-picked.

11+
Optimization Runs
116+
Experiments Tested
12%
Beat Baseline
-0.1%
Avg. Return, Improved Runs

Pay Only for What Runs

Wallet-funded, per-experiment pricing. Stop early and get a prorated refund on the rest.

$0.50
Per Experiment
30
Max Experiments / Run
$15.00
Max Cost Per Run

See the full breakdown, including how prorated refunds work, on the pricing documentation.

Also Available to AI Agents

Every Strategy Lab capability on this page — start a run, inject live guidance, cancel, validate, and promote a result — is exposed through TradeStaq's MCP server. Any MCP-compatible AI client can run an optimization on your behalf.

Ready to Optimize?

Pick a strategy you already own and let Strategy Lab find its best version.

Wallet-Funded • Pay Per Experiment • Stop Anytime